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Article

Assessing the Productivity and Socioeconomic Feasibility of Cocoyam and Teak Agroforestry for Food Security

by
Aji Winara
1,
Eva Fauziyah
2,3,
Suhartono
3,4,
Ary Widiyanto
2,*,
Sanudin
2,
Aris Sudomo
5,
Mohamad Siarudin
3,4,*,
Aditya Hani
3,4,
Yonky Indrajaya
4,
Budiman Achmad
6,
Dian Diniyati
6,
Wuri Handayani
4,
Endah Suhaendah
5,
Dewi Maharani
5,
Dila Swestiani
4,
Murniati
4,
Tri Sulistyati Widyaningsih
7,8,
Harry Budi Santoso Sulistiadi
5,
Chotimatul Azmi
9,
Rini Rosliani
9,
Meksy Dianawati
9,
Cheppy Syukur
9,
Dewi Gartika
1,
Agus Ruswandi
1,
Yudha Hadian Nur
1 and
Muthya Diana
1
add Show full author list remove Hide full author list
1
Research and Development Agency of West Java Province (BP2D), Jl. Kawaluyaan Indah Raya No. 6, Bandung 40286, Indonesia
2
Research Center for Population, National Research and Innovation Agency (BRIN), Jl. Jenderal Gatot Subroto No. 10, Jakarta 12710, Indonesia
3
Forest Science Graduate Program, Faculty of Forestry, Universitas Gadjah Mada, Jl. Agro Bulaksumur No. 1, Yogyakarta 55281, Indonesia
4
Research Center for Ecology and Ethnobiology, National Research and Innovation Agency (BRIN), Jl. Raya Jakarta-Bogor Km 46, Cibinong, Bogor 16911, Indonesia
5
Research Center for Plant Conservation, Botanic Gardens, and Forestry, National Research and Innovation Agency (BRIN), Jl. Raya Jakarta-Bogor Km 46, Cibinong, Bogor 16911, Indonesia
6
Research Center for Social Welfare, Village, and Connectivity, National Research and Innovation Agency (BRIN), Jl. Jenderal Gatot Subroto No. 10, Jakarta 12710, Indonesia
7
Leadership and Policy Innovation Program, Graduate School, Universitas Gadjah Mada, Gedung Masri Singarimbun Jln. Tevesia, Bulaksumur, Yogyakarta 55281, Indonesia
8
Bureau for Organization and Human Resources, National Research and Innovation Agency (BRIN), Gedung B.J. Habibie, Jl. M.H. Thamrin No. 8, Jakarta 10340, Indonesia
9
Research Center for Horticultural and Estate Crops, National Research and Innovation Agency (BRIN), Jl. Raya Jakarta-Bogor Km 46, Cibinong, Bogor 16911, Indonesia
*
Authors to whom correspondence should be addressed.
Sustainability 2022, 14(19), 11981; https://doi.org/10.3390/su141911981
Submission received: 15 July 2022 / Revised: 19 September 2022 / Accepted: 19 September 2022 / Published: 22 September 2022

Abstract

:
Limited agricultural land areas combined with increasing demands for food require breakthroughs in land use development using agroforestry systems. Intercropping root crops with trees could be an alternative for food production in forest areas. This study aimed to assess the feasibility of cocoyam (Xanthosoma sagittifolium (L.) Schott) farming on dry land within 12- and 42-year-old teak (Tectona grandis L.f.) forests to support local food security. The feasibility assessment took into account both productivity and socio-economic aspects. The agroforestry land productivity was measured using the land equivalent ratio (LER), and our analysis of the cocoyam farming within the teak stands was carried out using the revenue/cost ratio (R/C) at the demonstration plot scale. Furthermore, we also surveyed farmers’ perceptions of the production of cocoyam for food security. The results showed that the R/C values of cocoyam tuber production in agroforestry systems were lower than 1. However, the production rates of cocoyam tubers in the 12-year-old teak stand (48.3% light intensity) and the 42-year-old teak stand (62.5% light intensity) were 2.64 and 2.76 tons/ha, respectively. The overall yields from the teak and cocoyam agroforestry systems were more profitable than those of the monoculture system, as indicated by the LER values of 1.61 and 1.85. Cocoyam production was socially acceptable (77% of respondents) as a smallholder subsistence agroforestry practice to meet food demand. Increasing cocoyam productivity in teak forests requires the adoption of agroforestry silvicultural technology to achieve food security for rural communities. To increase their farming production and income, farmers could apply intensive silvicultural practices. Governmental support that could be provided includes encouraging product diversification and providing assistance for the processing and marketing of cocoyam products.

1. Introduction

Population growth leads to increases in food demand and creates huge challenges for food production [1]. The low carrying capacity of agricultural land is one of the challenges facing food security [2]. At the same time, food production programs through crop cultivation also face fierce competition for land, water, energy, and efforts against the negative effects of food production on the environment [3,4]. Efforts to achieve food yield targets using conventional agricultural methods have caused extensive environmental and societal damage [5,6], while multifunction agriculture could be an option to improve food production that is socially and environmentally positive [7]. Therefore, multifunction agriculture practices are expected to support the achievement of the sustainable development goals (SDGs) [7,8]. The relationship between agriculture and food security is important for farming households in villages that are facing land degradation, water shortages, and climate change [9]. Farmers with limited resources can cultivate food crops within tree stands using a sustainable intensification approach called agroforestry [6,10].
Agroforestry involves smallholder agroecosystems and aims to increase income, food security, and ecosystem services in a sustainable manner [11,12]. By intercropping crops and trees, agroforestry practices have significantly contributed to the livelihoods of village communities [13]. An additional critical element of agroforestry systems is resilience to climate change and its impacts, which can trigger significant famine crises [14]. Agroforestry also improves plant resistance to the possible consequences of climate change, including drought and higher temperatures, as it increases water infiltration and accumulation and reduces evaporation and extreme temperatures [14,15,16]. Agroforestry also boosts livelihood resilience by reducing dependence on trees alone, anticipating limited product markets in remote areas, and providing ecosystem services [14]. Additionally, increases in yields can be highly sustainable (secure), as agroforestry retains soil fertility and can reduce land degradation [14,17,18].
Food production through agroforestry farming can begin with the regulating of species composition. Agroforestry is able to increase yields, depending on crop selection, local conditions, and the level of expertise/management, to benefit farmer organizations and the environment [19,20]. The optimization of land productivity within tree stands for the production of shade-tolerant tubers can provide medium-term benefits for both forestry and food for local populations [21]. Tuber species such as Dioscorea alata L., Dioscorea esculenta (Lour.) Burkill, Colocasia esculenta (L.) Schott, Xanthosoma sagittifolium (L.) Schott, Canna edulis Ker Gawl., Maranta arundinacea L., and Amorphophallus campanulatus Decne are among the potential species to be developed within forest stands in agroforestry systems [22,23] and as commodities for the diversification of carbohydrate-rich foods other than rice [23,24,25]. Most tubers grow naturally, while some are deliberately planted by communities [26].
Agroforestry farming by intercropping cocoyam (Xanthosoma sagittifolium (L.) Schott) and trees can be a potential alternative for food production in forest stands. Cocoyam is among the world’s top six most important root and tuber crops [27]. This plant has been cultivated in a wide geographical distribution including Oceania, Africa, and Asia [28]. Cocoyam can be cultivated in agroforestry systems [29]. This crop is generally grown by small-scale farmers who operate in subsistence economies [30] for household food security, especially when production is unprofitable [31]. Cocoyam is a food crop that is well adapted to agroecological zones in Sub-Saharan Africa and is ranked third after cassava and sweet potato out of the root crops that are cultivated and consumed by people in West and Central Africa [32]. In Nigeria, farmers grow cocoyam on well-drained coastal sand plains, and yields are optimal when it is planted in fertile soil with good water retention capacity [30]. Households grow cocoyam as a cash crop and sell at least half of their yearly production [33]. In Ghana, people cultivate cocoyam around lakes as a food crop [34]. Cocoyam can be used for food supplies during disaster conditions [35].
Cocoyam is a viable food commodity that has an appreciable nutritional profile and higher productivity and better storability than other indigenous roots and tubers, as well as having potential for development as a sustainable food security measure [28,36] because it is not tied to the seasons [37]. Further, cocoyam is a potential substitute for rice because it is rich in carbohydrates [38] and has a low glycemic index (54/100 g) [28], as well as containing antioxidants [39]. Cocoyam has a nutritional value that is comparable to that of potato and higher than those of cassava and sweet potato [40,41]. This plant is known to have higher carbohydrate and lower protein contents than potato [42], as well as being high in lipids [43], fiber, and vitamin C [44] and having low glycemic levels [45]. This native American plant was introduced in Africa and became a staple food [28]. In Africa, cocoyam tubers are used as an indigenous food for human consumption, and the leaves are used for animal feed [30]. In Indonesia, this tuber is a staple food in certain marginal areas and is eaten as a snack in East [46] and Central Java [26]. As well as being consumed as they are, cocoyam tubers can also be processed into flour [47,48,49] to be used as a base for making noodles/pasta [50,51,52,53], biscuits/cookies [54,55,56], meat analogs [57,58], yogurt mixes [59,60], food thickeners [61], bioplastics [62,63], and edible films [64]. The leaves and stems of this plant can also be used as animal feed, wound medicines [65], painkillers [66], diabetes medicines [39], antileukemia medicines [67], and biofuel [38,68,69]. It can be grown as a monoculture [70,71] or intercropped with other crops. Research on intercropping teak with other crops has been conducted, including Amorphophallus [72], maize [73], peanut [74], soybean [75], arrowroot (Maranta arundinacea L.), canna (Canna edulis Ker Gawl), and yam (Dioscorea esculenta) [21], but studies on intercropping teak with cocoyam are still limited in number.
Developing agroforestry as a viable alternative for farmers in diverse ecological and socioeconomic conditions is a very challenging issue [76]. Future research on timber-based agri-silviculture systems must link food security issues [77] and incorporate both productivity and socioeconomic assessments. Previous studies have indicated that some tubers, such as canna (C. edulis) [78], arrowroot (M. arundinacea) [79], and yam (D. esculenta) [80], are economically feasible to cultivate [78,79,80]. In Indonesia, farmers’ perceptions of the benefits of agroforestry practices are varied: some are high, e.g., in Wonosobo, Central Java [81], and Malang, East Java [82,83], while others are low, e.g., in Lampung [84,85] and Ciamis, West Java [86]. In Lampung, people’s perceptions of agroforestry management were found to be low because only a few of the farmers understood the benefits of non-timber forest products (NTFPs) [85]. In Ciamis, West Java, farmers’ perceptions of private forest value were found to be positive [87] but their motivation to apply agroforestry practices was low [86]. However, studies on the socioeconomic aspects of tuber-based agroforestry that have focused on the cocoyam species are still very limited.
Intercropping food crops, such as corn, peanuts, and cassava, in between rows of teak trees has been practiced for more than a century in Java [88]. The purpose of teak agroforestry has advanced from reforestation into more diverse goals, such as environmental protection [89], the enhancement of ecosystem services [90], carbon sequestration [91], flora–fauna biodiversity conservation [92], poverty alleviation [93], and food security [77]. In Indonesia, teak-based agroforestry is combined with various companion food crops, such as maize (Zea mays L.) [94,95], porang (Amorphophalus mulleri Blume) [96], arrowroot (M. arundinacea L.), taro (Colocasia esculenta L.) [97], soybean (Glycine max (L.) Merr) [75], suweg (Amorphopallus paeoniifolius (Dennst.) Nicolson) [72], arrowroot-yam (Dioscorea esculenta L.), edible canna (Canna edulis) [21], a combination of maize and cassava (Manihot utilisima), peanut (Arachis hypogaea L.), rice (Oryza sativa), sorghum (Sorghum bicolor) [98], durian (Durio zibethinus) [99], ginger [100], and a combination of maize and peanut [74].
Agroforestry systems have been developed in Gunungkidul Yogyakarta, Indonesia, as adaptations to marginal land and dry environmental conditions [101]. Farmers in Gunungkidul have limited land (<0.25 ha), with teak (Tectona grandis L.f.) as the main tree species [102]. The limited availability of fertile land and insufficient water supplies due to the short rainy season (4–5 months) encourage farmers to select drought-resistant plants that can be harvested during the dry season, such as tubers [103]. For this, the farmers need land in the state forest (community forest/hutan kemasyarakatan) to cultivate food crops. The Forest Management Unit/Kesatuan Pengelolaan Hutan (FI/KPH) of Yogyakarta, which covers 13,826 ha, is planning to increase the productivity of the dry rocky land using teak stands that are over five years old and root crops [104]. A previous study by Roshetko et al. [105] showed that farmers applied intercropping systems in Gunungkidul using less-than-five-year-old teak stands and several shade-intolerant species, such as cassava, peanuts, upland rice, soybeans, and long beans. Cocoyam is one species of tuber plant that can be cultivated in dry land within ten-year-old teak stands in Indonesia [106] and within five-year-old oil palm stands in Nigeria [107]. It should be planted in 40–50% shade to grow optimally [93,108,109,110,111]. Cocoyam that was cultivated within teak stands that were 3–5 years old was able to produce 32.92–33.28 tons/ha of tubers, while production within teak stands that were aged <10 years decreased by 37% [106]. However, the productivity of cocoyam tuber cultivation within >10-year-old teak stands with dry rocky soil conditions is not yet known.
Since location and light intensity both affect tuber growth and productivity [112], and farmers’ perceptions and motivation can affect the adoption of agroforestry practices [113], it is necessary to carry out comprehensive studies covering the productivity and socioeconomic aspects of intercropping cocoyam with teak to examine the possibility of cultivating tuber species within tree stands. Therefore, this study evaluated the feasibility of cultivating cocoyam tuber crops as an intercropping species within 12- and 42-year-old teak stands that are on marginal soils in the Gunungkidul community forest. The specific objectives of the research were to (i) assess the productivity of intercropping cocoyam tuber crops within teak stands on marginal land in the Gunungkidul community forest, (ii) analyze the profit value of cocoyam tuber crops as an option for farmers, and (iii) evaluate the perceptions of the farming community regarding the use of teak intercropping in the community forest. We assumed that tree shading would decrease the productivity of tuber crops but that the positive perceptions of farmers and the economic value of cocoyam tuber products would make the application of a cocoyam and teak agroforestry system feasible.

2. Materials and Methods

This study was driven by the increasing demand for food, as the availability of land is becoming increasingly limited. Forest land could be an alternative for food production using agroforestry farming systems that combine tree stands and food crops. The idea of using forest land to cultivate trees and food crops was adapted to the specific conditions at the research site and took the results of previous studies into account. The previous studies were traced from various online databases with themes related to land productivity in tuber crops, marginal land farming, agroforestry practices related to food security, and social acceptance. The previous studies were reviewed to find out the research gap. This study focused on assessing the feasibility of using cocoyam and teak cropping systems to achieve food security in marginal areas. The feasibility assessment covered land productivity and a financial analysis, as well as farmers’ perceptions. The conceptual framework of this study is presented in Figure 1.

2.1. Location

The research was conducted from April 2018 to December 2019 in the Giriharjo and Girisuko villages in the Panggang District, Gunungkidul Regency, Yogyakarta Province, Indonesia (Figure 2). The objects of this research were agroforestry systems that used teak and cocoyam on a plot scale and the community around the research plots. The plots were located in the forest of the FMU Yogyakarta, which is at 08°00′13.7″ S 110°25′52.0″ E and 333 m above sea level.
The teak and cocoyam agroforestry plots were established within a 12-year-old teak plantation (not thinned), a 42-year-old teak plantation (remaining logging stands), and an area of open land. All three plots were located within the same landscape. The slope of the research plots was flat to slightly steep (5–43%). The relative light intensity under the 12-year-old teak stand was 48.3%, and it was 62.5% under the 42-year-old stand. The soil was classified as clay (79–86%), with a neutral pH, medium C-organic matter, medium total N levels, very low total P, and very low total K levels (Table 1).

2.2. Research Procedures

The research was conducted at the plots and covered all three aspects of the study, namely, the productivity of the teak and cocoyam agroforestry systems, an analysis of farming business, and the perceptions of farmers around the plots. The research was carried out using a participatory action research method, which involved forest farmer groups and the FMU Yogyakarta when deciding on the type of tubers to be planted within the teak stands, the location of the plots, and the implementation of the cultivation activities. The process of establishing the research plots began with identifying and mapping the actual location of the community forest within the FMU Yogyakarta and then continued with selecting appropriate teak stands, i.e., old teak stands with high levels of shade and marginal soil conditions that were not being used by communities around the forest. Cocoyam was selected by the farmers and the managers of the FMU Yogyakarta as the food crop to be planted in the research plots.
The research plots were established within teak stands and open land. There were three cropping systems, namely, monoculture cocoyam (open land), intercropped cocoyam within a 12-year-old teak stand, and intercropped cocoyam within a 42-year-old teak stand (Figure 3). Each system was repeated three times. Cocoyam was planted with as many as 40 plants/plot at a spacing of 1 m × 1 m. The cocoyam seeds came from tubers with an average weight of 250–300 g. The technical treatment of the cocoyam was conducted through manual land preparation, planting, the maintenance of weeds, and harvesting. Fertilization and pest and disease control were not carried out on the cocoyam during the study. The planting was carried out in November 2018, and the harvesting of the cocoyam tubers was carried out in August 2019. The technical treatment of the cocoyam was performed by adopting the habits of the communities around the forest when planting cocoyam.
The data on the land productivity of teak and cocoyam agroforestry were obtained from our calculations of the land equivalent ratio (LER) for teak and cocoyam agroforestry. To calculate the LER, the cocoyam tuber production of 15 plants from each plot was measured over 1 harvest season (1 year), the diameters of the teak trees in each plot were measured including monoculture teak plots, and the volumes of the teak trees were calculated using the Gunungkidul teak volume table [114].
The data that were collected regarding the productivity of cocoyam farming included information on the production inputs that were used to make the cocoyam agroforestry plots, such as land area (m2), the number of seeds (kg), herbicides (liter or kg), and the number of working days (HOK). In addition, supporting data in the form of the unit values of the production inputs were obtained through interviews with various sources of information, such as forest managers, heads of farmer groups, and institutions, who provided the production facilities around the research plots.
The characteristics and farmers’ perceptions of the cocoyam cultivation within the teak stands were obtained directly through interviews with 30 respondents. The respondents were chosen with simple random sampling from a total (population) of 50 farmers who were members of farmer groups and were directly or indirectly involved in developing the cocoyam agroforestry plots. In addition to meeting the representativeness of the population (with a sampling intensity of 60%), the number of 30 respondents was considered to meet the requirements of a normal distribution, according to [115]. Moreover, this number of respondents was projected to reach saturation [116]. Before conducting further analysis, initial data analysis was carried out with a normality test, a homoscedasticity test, and a multicollinearity test (see Appendix A, Appendix B, Appendix C and Appendix D). The normality test showed that the data plot was close to the diagonal line, which indicated that the variable met the requirements. The homoscedasticity test also indicated from the scatter plot, which was evenly distributed, with an even distribution of data, that there was no homoscedasticity. Furthermore, to determine whether there was multicollinearity, VIF values were analyzed. Values that were less than 10 also indicated inadequate multicollinearity between variables as a condition for their analysis. We also used Kolmogorov–Smirnov for normality tests, and the results showed that the significant value was 0.200 greater than 0.05, which means the data were normally distributed. The perception data consisted of 15 questions (as presented in the Supplementary Materials). Every question was rated on a three-point Likert scale (1 = disagree, 2 = do not know, and 3 = agree).

2.3. Plant Origin

This research used cocoyam (Xanthosoma sagittifolium) samples and teak (Tectona grandis L.f.) stands. The cocoyam tuber rhizome seeds that were used were local species from several home gardens/moors within rural community villages (Ngudi Rukun Farmer Group) that are located in the Gunungkidul Regency. The cocoyam species that was studied in this research is abundantly found in the wild and is not mentioned on the IUCN red list. The samples were analyzed purely to obtain information related to tuber productivity.
The teak stands were under the management of the Forest Management Unit (FMU) of Yogyakarta. Those teak stands were utilized for the agroforestry systems via intercropping with cocoyam. The use of cocoyam and teak involved neither cell line methods nor plant experimental research related to taxonomy, genetics, rare plants, and/or mutants.

2.4. Data Analysis

The agroforestry land productivity was calculated using the land equivalent ratio (LER), according to Mead et al. [117]. Land is defined as more productive when the LER value is more than 1 [118,119,120].
LER = Production   of   tubers   on   agroforestry Production   of   tubers   monoculture + Production   of   teaks   on   agroforestry Production   of   teaks   monoculture
In this study, farming activities were assumed to be carried out by families/farmer groups. Therefore, farming costs were divided into explicit costs (i.e., those that were actually paid) and implicit costs (i.e., those that were not actually paid). Farming revenue was calculated by multiplying the amount of production by the selling price, farm income was calculated as the difference between the revenue and the incurred explicit costs, and farming profit was calculated as the difference between the revenue and the total farming costs (both explicit and implicit).
The collected data were then processed descriptively and quantitatively to establish the structure of costs, revenue, and income for cocoyam farming. The revenue/cost ratio (R/C) and labor productivity were then calculated to determine farming productivity [121,122]. Farming productivity was classified as good when the corresponding attributes met the following criteria: R/C was higher than 1, and labor productivity was higher than the standard daily wage for farming.
T o t a l   c o s t = e x p l i c i t   c o s t + i m p l i c i t   c o s t
R e v e n u e = P r o d u c t i o n × P r i c e
I n c o m e = R e v e n u e E x p l i c i t   c o s t
P r o f i t = R e v e n u e T o t a l   c o s t
R C = T o t a l   R e v e n u e T o t a l   C o s t
L a b o r   P r o d u c t i v i t y = I n c o m e I m p l i c i t   c o s t   b e s i d e   v a l u e   o f   f a m i l y   l a b o u r T o t a l   w o r k i n g   d a y   o f   f a m i l y   l a b o u r
The category of perceptions was divided into three categories, namely, negative, neutral, and positive. Interval classes were determined using the following formula:
i n t e r v a l = m a x   s c o r e min s c o r e n u m b e r   o f   c a t e g o r y
The lowest score was 15, the highest score was 45, and the number category was 3. Furthermore, the levels of perception were categorized: (a) a score of 15–25 (negative), (b) a score of >25–35 (neutral), and (c) a score of >35–45 (positive). A correlation analysis between the respondent characteristics and their perceptions was carried out using Spearman’s correlation formula, which was processed using IBM SPSS version 27 for Windows with serial number: 20220718T011754Z-001.

3. Results

3.1. Land Productivity

The weight of tubers that were produced in the agroforestry systems (i.e., within the 12- and 42-year-old teak stands) was 50–53% lower than that of tubers that were produced in open land (monoculture) (Figure 4). This was caused by the light intensity under the 12- and 42-year-old teak stands, which was 48.3% and 62.5%, respectively. The decrease in light intensity affected the growth and production of the tubers [123].
The tuber productivity within the 12- and 42-year-old teak stands was 2.64 tons/ha and 2.76 tons/ha, respectively, while the tuber productivity in the cocoyam monoculture was 5.63 tons/ha (Figure 4). The tuber productivity within the 12- and 42-year-old teak stands was much lower than that within 3–5-year-old teak stands (23.3 tons/ha) [106]. Tuber production at the two locations was significantly different due to the differences in cultivation techniques and the location conditions. Within the 12-year-old teak stand, the cocoyam tuber production decreased by 37% compared to that in open land [106]. In addition, the lower production rate at the research site was due to the long dry season (6 months) in the research area. Tuber productivity decreases more when droughts occur during the tuber formation phase compared to when droughts occur during the vegetative phase [124]. The land conditions also contributed to the poor cocoyam production. There are thin soil sola in calcareous areas, such as the study site. At the same time, the presence of organic matter in the 0–30 cm layer plays an important role in tuber productivity. When the levels of organic matter are low, tuber productivity decreases [125]. Nitrogen influences several aspects of vegetative growth, such as apical shoot formation, increased levels of gibberellin hormones, elongation, and stolon growth [126], while potassium (K) is very important for tuber formation [127]. In fact, the average P (phosphorous) and K (potassium) contents were low at the research site. The K and P contents demonstrate strong interactions in soil [128] and are necessary for tuber production [129]. K is required for tuber-forming root growth, while P is involved in the assimilation translocation from leaves to the other parts of the plant [129]. Therefore, it is necessary to add P and K nutrients into soil, either through organic or inorganic fertilization, to increase cocoyam production. However, fertilization increases production costs. To overcome this, techniques that do not use tillage [130] or organic mulch are needed to produce higher tuber yields than tillage-based techniques [83]. Non-tillage techniques can reduce production costs and increase farm labor efficiency.
Managing tree shading by pruning is one of the initiatives that can boost cocoyam production within tree stands. Tree pruning increases light intensity and resource efficiency by adjusting the canopy of the tree stand [128]. In addition, the by-products of pruning serve as sources of nutrients for marginal soils. Many nutrients are stored in tree parts (roots, stems, branches, and leaves), which then decompose into soil after pruning or natural death [131]. As well as fertilization and pruning by-products, efforts to promote soil fertility must also address soil conservation by avoiding tillage-based techniques, improving harvest waste management, and using cover crops and crop rotation [130]. Another thing that needs to be considered is the harvesting technique. Cocoyam is grown in locations with thin soil sola; thus, it needs to be washed before harvesting so that soil is not removed [30].
The LER values of the teak and cocoyam agroforestry systems were higher than 1 (Figure 4). This indicated that the development of agroforestry with teak and cocoyam could increase the productivity of teak forest land. In 12-year-old stands, there are greater numbers of teak trees that are still in the process of rapid vegetative growth than in 42-year-old stands, which are starting to experience a decrease in vegetative growth. Teak cultivation has a high economic value when appropriate silvicultural measures are conducted, such as pruning and thinning [93]. Increasing the productivity of plants within teak stands can be achieved by maintaining the number of teak trees at 600 trees/ha and applying an alley cropping system with a corridor width of 10 m [132]. The differences in the age and shade levels of teak stands can be used as a basis for selecting the types of understory crops, based on their light requirements [133].

3.2. Productivity of Cocoyam Farming

The production of cocoyam tubers by the community around the FMU Yogyakarta was carried out naturally without fertilizers, so the production costs were relatively low. The farmers only purchased herbicides to kill weeds during land clearing. The cocoyam seeds that were planted also came from collections that belonged to the farmers. The land that was used was a state forest area that was managed by the community. The costs, revenue, and income for cocoyam farming are presented in Table 2.
The cocoyam farming costs were divided into two categories: explicit costs and implicit costs. The purchase of herbicides was included in the explicit costs category. Land rent, seed procurement, and family labor were included in implicit costs because these were not paid for in cash by the farmers. The labor costs made up the largest proportion of costs for cocoyam farming. Farmers used more family labor to reduce production costs [134]. The proportion could be more than half of the total production costs for cocoyam farming [29].
The cocoyam production in the monoculture system was higher than in the agroforestry systems. Similarly, farming income was higher from the monoculture system than from the agroforestry systems. However, cocoyam farming still generated positive income from all of the monoculture and agroforestry systems. This was in line with the results of previous studies, which have stated that cocoyam production is generally beneficial [135,136]. Community cocoyam production aims to meet the community’s food needs and provide income [29]. Cocoyam productivity at the research site is presented in Table 3.
Cocoyam farming productivity in the monoculture system was more efficient than in the agroforestry systems, as their R/C values were less than 1, which meant that the productivity of cocoyam farming in those systems was not optimal. According to Soekartawi [137], R/C values of less than 1 indicate that farming is not economically efficient because any costs that are incurred do not result in a higher income. However, some results from the assessment of similar tubers, such as cassava [138,139,140] and sweet potato [141,142], have shown that R/C values of less than 1 can produce better business effectiveness. Further analysis is needed to determine which factors affect the productivity of cocoyam farming to achieve better economic performance.
In terms of productivity, monoculture cocoyam farming was more productive than agroforestry cocoyam farming, as indicated by the R/C values of less than 1. The labor productivity was greater than the average local wage of IDR 50,000/working day. Moreover, cocoyam farming in the agroforestry systems resulted in lower farm productivity. Furthermore, cocoyam that is planted within 10-year-old teak stands has potential productivity of up to 23 tons per ha, and higher productivity can be achieved within younger teak stands [106]. Thus, cocoyam productivity in agroforestry systems could be increased if production could be carried out more intensively by increasing the capacities of teak–cocoyam agroforestry farmers, including their cultivation, storage, processing, and marketing capacities [143]. Improvements in food processing and the accessibility of credit should be prioritized to generate more income for farmers and encourage cocoyam production [144]. In addition, choosing the right variety or type of cocoyam could also increase yields [29].

3.3. Farmer Characteristics, Knowledge, and Perceptions

Giriharjo village is one of the villages situated within the area of the FMU Yogyakarta. The farmers who manage the community forest in the FMU Yogyakarta and participated in this study were mostly male and they were mainly in the productive age category (15–64 years old), as presented in Figure 5. Despite most of the respondents (63%) having side jobs as farm workers, their main jobs were predominantly as farmers (83%). The burden on the head of the family to earn a living was significant due to the large number of family members (4–6 people). The education level of the respondents was low since most of them (63%) only had an elementary school level of education. Dry land farming was their primary source of income.
Most of the communities in the FMU Yogyakarta cultivate the land within teak and eucalyptus stands with various crops, especially rice, corn, cassava, beans, and soybean [145]. Additionally, they also plant grass for livestock feed on private land. Most farmers in the Giriharjo village who participated in this study worked on dry land, both on their own land and on state land. The main plants on their own land are teak, mahogany, acacia, and sengon, while teak dominates plants on the state land. Most farmers apply intercropping systems with upland rice, corn, peanuts, and tubers, such as cassava and cocoyam. Even in Nigeria, cocoyam is usually planted as a secondary crop and has output and consumption levels that are considerably lower than those of cassava and yams [146]. On the other hand, cocoyam is a staple food in regions of Ghana, Cameroon, and Gabon [146]. Cocoyam has been underappreciated due to its lack of competitiveness with other commodity crops in agriculture, but it has recently gained traction among smallholder farmers [146,147].
Farmers have a pretty good knowledge of cocoyam, particularly regarding its physical form, its utilization, how to process it, and how to cultivate it. Cocoyam has been known for a long time and is commonly planted by communities. Farmers, both those who have planted cocoyam and those who have never planted cocoyam, are familiar with this plant because it is consumed and served during certain events. Farmers grow cocoyam for consumption and sale. Cocoyam is usually eaten with other foods or as a snack at traditional events, thanksgiving, and other family events. In Giriharjo village, seven species of tubers are usually used in traditional ceremonies, one of which is cocoyam. Therefore, even though it has previously been said that cocoyam is of low value, the development of cocoyam in agroforestry is important because cocoyam plays a pivotal role and is an inseparable part of Javanese culture, especially for people in Gunungkidul.
According to farmers, all parts of the cocoyam plant can be utilized, including the stems, leaves, and tubers. However, the stems and leaves are only used for animal feed. Farmers’ knowledge of processing for consumption is still limited. Cocoyam tubers cannot be consumed raw and must be processed first. Most people in Gunungkidul know how to process cocoyam by washing it and then steaming, frying, or processing it into chips (ceriping). Cocoyam can be further processed into flour, which can then be used for making bread and pastries [41]; however, the community around the FMU Yogyakarta does not yet have the knowledge or skills to process cocoyam tubers into flour.
Many farmers have knowledge and experience of planting cocoyam, but only at a small scale in their yards and not within teak stands. Farmers usually plant cocoyam on the edge of their land or under various types of trees, such as sengon, mahogany, fruit trees, coconut, and banana, among others. This knowledge is inherited from parents or neighbors who have experience in planting cocoyam. Small-scale and resource-poor farmers practice cocoyam farming with minimal input in most countries [148,149].
In this study, the farmers’ knowledge of cocoyam influenced their perceptions of cocoyam cultivation within teak stands, and 77% of respondents had positive perceptions, as shown in Figure 6. The farmers assessed cocoyam as a prospective product in terms of cultivation (production), processing, and marketing. For them, cultivating cocoyam within teak stands would be a unique attraction if it provided good results. This was because they can take advantage of land that already has trees on it, especially teak trees. However, there were concerns that tuber production would be low because it was planted within teak stands. Cocoyam production is still at the subsistence level in major areas [29,32,150].
According to the respondents, cultivating cocoyam was simple, i.e., hoeing the soil and making planting holes or simply making planting holes and planting the seeds/seedlings directly. Most farmers rely on traditional farming tools to produce cocoyam [28]. The seedlings could develop into tubers or stems with tubers/roots and were usually obtained from neighbors or reproduced from previous plants. The farmers had positive perceptions of cocoyam planting. It was regarded as an easy plant to grow as long as it was planted in the rainy season. The farmers’ perceptions of cocoyam plant maintenance were also positive. According to the farmers, cocoyam could grow well even without intensive maintenance. However, it grew better when weeding, fertilizing, and pruning were carried out. Farmers have limited capital to carry out intensive maintenance. Due to the presence of more significant problems, farmers tend to ignore pests and diseases, such as caterpillars. Harvesting and post-harvesting were also considered to be relatively easy. The farmers only used simple techniques and equipment to harvest cocoyam after 7–8 months.
Farmers’ perceptions of processing and marketing were also positive. The processing of cocoyam into food ingredients was also considered to be fairly simple. However, slightly different from the other aspects, the marketing of cocoyam was still limited, although the farmers had no difficulty in selling the cocoyam tubers. This caused the farmers’ motivation to cultivate cocoyam on a larger scale to remain low.
Many factors, including internal factors, influenced the farmers’ knowledge and perceptions of cocoyam. The correlations between the respondent characteristics and their perceptions are presented in Table 4.
From the farmers’ characteristics that were studied in this research, it was revealed that only gender and the number of family members were significantly negatively correlated with the farmers’ perceptions of the cultivation of cocoyam within teak stands. The negative correlations between these two characteristics and the perception of cocoyam production could be rationally explained as follows: as the managers of their domestic/household affairs (99% of respondents were married), the women’s workloads increased with the number of family members, so their activities were mostly centered around the home and yard. Thus, they preferred cocoyam cultivation to be carried out in their yards and to be mixed with various existing plants (as is their habit) as opposed to within teak stands, which could be located far from home and potentially cause them to neglect their responsibilities in household matters. Women’s household responsibilities, in addition to the social expectations that agricultural land is prioritized for men, limit their contributions as agricultural workers [151].
Due to the easy management, the women preferred to cultivate cocoyam in the monoculture system. Cocoyam has greater appeal in Africa than in other areas of the world because it can be intercropped with any tree species [149,152,153]. As a shade-tolerant plant, it is commonly utilized as an understory crop in intercropping systems [146].

3.4. Policy Implications

Historically, Gunungkidul is regarded as a food-insecure area. The soil in Gunungkidul is infertile, with thin sola and many rocks, and low rainfall levels cause the suboptimal production of agricultural products. On the other hand, the increasing population in the area requires more and more food supplies.
The forestry sector needs to contribute more by providing food sources from the forest. The FMU Yogyakarta, which has the authority to manage the forest areas in Gunungkidul, provides land for the communities living around the forest to cultivate through FMU–community cooperation schemes and FMU–private company–community cooperation schemes with certain profit-sharing proportions. The Provincial Government of the Special Region of Yogyakarta issued the Regional Regulation (Perda) No. 4 in 2018 concerning the implementation of food reserves. This regulation set out local government strategies for providing and controlling regional food reserves, as well as anticipating and mitigating famine crises.
One type of plant from the forest that can be used as a food source is cocoyam. When cocoyam is considered as a “single” commodity, then it does not provide optimal benefits for farmers as a source of carbohydrates, food reserves, or income for the community economy. However, cocoyam should be considered as a part of the efforts to optimize land use by developing teak and cocoyam agroforestry systems. In addition, planting cocoyam within teak stands can produce two benefits: ecologically friendly weed management without the use of pesticides, and food security for farmers [154]. In this way, cocoyam can be considered as an attractive alternative food commodity because it has the characteristics of growing well within tree stands and being socially acceptable to the local community. Accordingly, farmers have a greater opportunity to utilize FMU land. The FMU and private sectors also benefit indirectly because the teak stands are maintained by the farmers during cocoyam maintenance activities.
The development and distribution of good cocoyam planting materials need to be established so that cocoyam production becomes competitive [29]. Efforts to upscale cocoyam production could be carried out through partnerships [117] between FMUs, the private sector, and the community that are supported by policies and investments, strong institutional capacities, innovative technologies [117], and research, advocacy, and innovation [29]. Alternative policies are needed to encourage farmers to access and intensify productive inputs [29].
Even though cocoyam production in community forests is not profitable (R/C < 1), it can constitute a subsistence business [155] for household food security [29] based on tuber production alone. However, in Africa, the production of cocoyam leaves through agroforestry generates larger incomes for farmers than that through monocultures [28]. Overall, the LER of teak and cocoyam agroforestry systems is higher than 1, so agroforestry is more profitable than monocultures. The application of agroforestry is related to local knowledge that is passed down from generation to generation, so it tends to be less intensive [156].
The commercialization of cocoyam cultivation within teak stands could be achieved by intensifying silviculture agroforestry to minimize competition for water, nutrients, and light as growth factors. In addition, there is a need for the further dissemination of knowledge regarding the utilization of other parts of the cocoyam plant. This needs to be supported by counseling and training for the processing and marketing of products other than tubers.

4. Conclusions

The application of teak and cocoyam agroforestry farming was feasible as an alternative method for food production within tree stands. This feasibility was mainly based on tuber productivity and farmer perceptions. The production of cocoyam tubers within the 12- (48.3% light intensity) and 42-year-old (62.5% light intensity) teak stands was 50–53% less than in open land. Consequently, the R/C values of cocoyam tuber production within the agroforestry systems were lower than 1. However, the overall yields from the teak and cocoyam agroforestry systems were higher than those from the monoculture system (LER 1.61–1.85 > 1). The farmers’ perceptions of developing teak and cocoyam agroforestry systems for food security were positive because they were familiar with the cultivation, post-harvest processing, and marketing of cocoyam. Cocoyam was socially acceptable within the community and had become part of the daily culture for forest communities in rural areas. The teak and cocoyam agroforestry practices could provide food for the community and indirectly benefit the forest managers by maintaining teak plantations. The diversification of cocoyam products by using all parts of the plant (e.g., stem, leaves, and tubers) could be another option to maximize the benefits of cocoyam farming. The commercialization of teak and cocoyam agroforestry systems in state forests that involve local communities requires support for various parties, including the social, economic, policy, marketing, and technology adaptability aspects within forest community development. Nevertheless, teak and cocoyam agroforestry as a subsistence farming practice could play an important role in livelihood strategies and food security for communities in rural forest areas. This kind of farming practice also has the potential to contribute to food security measures within the forest sector to support the achievement of the Sustainable Development Goals (SDGs). Further research is needed to increase tuber productivity within teak stands using appropriate teak silviculture applications and tuber crop maintenance techniques through intensive agroforestry farming.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/su141911981/s1.

Author Contributions

A.W. (Aji Winara), E.F., S. (Suhartono), A.W. (Ary Widiyanto), S. (Sanudin), A.S., M.S., A.H., Y.I., B.A., D.D., W.H., E.S., D.M., D.S., M., T.S.W., H.B.S.S., C.A., R.R., M.D. (Meksy Dianawati), C.S., D.G., A.R., Y.H.N., and M.D. (Muthya Diana) contributed equally as main contributors to the conceptualization, methodology, software analysis, validation, resource collection, writing, reviewing, and editing of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

Our gratitude goes to the management of the Agroforestry Research and Development Institute and the Yogyakarta Forest Management Unit for facilitating this research. Our gratitude also goes to Asep Rohandi, Rd Dedi Herdiana, and Udin Saepudin who helping data collection.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A. Normality Test

Figure A1. Normal distribution test result.
Figure A1. Normal distribution test result.
Sustainability 14 11981 g0a1

Appendix B. Collinearity

Table A1. Collinearity test result.
Table A1. Collinearity test result.
Coefficients a
ModelUnstandardized CoefficientsStandardized CoefficientstSig.Collinearity Statistics
BStd. ErrorBeta ToleranceVIF
1(Constant)33.24910.123 3.2850.004
Age0.1700.2070.4420.8240.4200.1158.719
Gender−2.1651.867−0.261−1.1590.2600.6491.541
Length_of_stay−0.0650.097−0.207−0.6740.5080.3482.870
Education0.4330.5330.1800.8140.4250.6751.481
Main-job−0.2803.337−0.019−0.0840.9340.6521.533
Side_job0.1221.3860.0190.0880.9310.7211.387
Farming_experience0.0320.1340.1090.2360.8160.1556.446
Number_of_family_member−0.2050.350−0.126−0.5870.5640.7181.392
Land-ownership−0.4641.409−0.074−0.3290.7450.6461.549
a. Dependent Variable: Perception.

Appendix C. Heteroskedasticity

Figure A2. Heteroskedasticity test result.
Figure A2. Heteroskedasticity test result.
Sustainability 14 11981 g0a2

Appendix D. Kolmogorov–Smirnov Test

Table A2. Kolmogorov-Smirnov test result.
Table A2. Kolmogorov-Smirnov test result.
One-Sample Kolmogorov–Smirnov Test
Unstandardized Residual
N30
Normal Parameters a,bMean0.0000000
Std. Deviation3.69465055
Most Extreme DifferencesAbsolute0.099
Positive0.070
Negative−0.099
Test Statistic0.099
Asymp. Sig. (2-tailed) c0.200 d
Monte Carlo Sig. (2-tailed) eSig.0.616
99% Confidence IntervalLower Bound0.603
Upper Bound0.628
a. Test distribution is Normal. b. Calculated from data. c. Lilliefors Significance Correction. d. This is a lower bound of the true significance. e. Lilliefors’ method based on 10,000 Monte Carlo samples with starting seed 299,883,525.

References

  1. García-Oliveira, P.; Fraga-Corral, M.; Pereira, A.G.; Prieto, M.A.; Simal-Gandara, J. Solutions for the Sustainability of the Food Production and Consumption System. Crit Rev. Food Sci. Nutr. 2022, 62, 1765–1781. [Google Scholar] [CrossRef] [PubMed]
  2. Abdurachman, A.; Dariah, A.; Mulyani, A. Strategi Dan Teknologi Pengelolaan Lahan Kering Mendukung Pengadaan Pangan Nasional. J. Litbang Pertan. 2008, 27, 43–49. [Google Scholar]
  3. Tilman, D.; Fargione, J.; Wollff, B.; Antonio, C.D.; Dobson, A.; Howarth, R.; Schindler, D.; Simberloff, D.; Swackhamer, D. Forecasting Agriculturally Driven Global Environmental Change. Science 2001, 292, 281–284. [Google Scholar] [CrossRef] [PubMed]
  4. Wang, Q.; Liu, H.L.; Cheung, Y.M. A Renewable Energy Cooperation Scheme for OFDM Systems Using Evolutionary Many-Objective Optimization Algorithm. In Proceedings of the 12th International Conference on Computational Intelligence and Security, CIS 2016, Wuxi, China, 16–19 December 2016; Volume 327, pp. 194–197. [Google Scholar] [CrossRef]
  5. Waldron, A.; Miller, D.C.; Redding, D.; Mooers, A.; Kuhn, T.S.; Nibbelink, N.; Roberts, J.T.; Tobias, J.A.; Gittleman, J.L. Reductions in Global Biodiversity Loss Predicted from Conservation Spending. Nature 2017, 551, 364–367. [Google Scholar] [CrossRef]
  6. Godfray, H.C.J.; Beddington, J.R.; Crute, I.R.; Haddad, L.; Lawrence, D.; Muir, J.F.; Pretty, J.; Robinson, S.; Thomas, S.M.; Toulmin, C. Food Security: The Challenge of Feeding 9 Billion People. Science 2010, 327, 812–818. [Google Scholar] [CrossRef]
  7. Waldron, A.; Garrity, D.; Malhi, Y.; Girardin, C.; Miller, D.C.; Seddon, N. Agroforestry Can Enhance Food Security While Meeting Other Sustainable Development Goals. Trop. Conserv. Sci. 2017, 10, 1940082917720667. [Google Scholar] [CrossRef]
  8. Wezel, A.; Herren, B.G.; Kerr, R.B.; Barrios, E.; Gonçalves, A.L.R.; Sinclair, F. Agroecological Principles and Elements and Their Implications for Transitioning to Sustainable Food Systems. A Review. Agron. Sustain. Dev. 2020, 40, 40. [Google Scholar] [CrossRef]
  9. FAO. State of Food Security and Nutrition in the Word; FAO: Rome, Italy, 2018. [Google Scholar]
  10. Riofrío, J.; Herrero, C.; Grijalva, J.; Bravo, F. Aboveground Tree Additive Biomass Models in Ecuadorian Highland Agroforestry Systems. Biomass Bioenergy 2015, 80, 252–259. [Google Scholar] [CrossRef]
  11. Smith, A.; Snapp, S.; Chikowo, R.; Thorne, P.; Bekunda, M.; Glover, J. Measuring Sustainable Intensification in Smallholder Agroecosystems: A Review. Glob. Food Sec. 2017, 12, 127–138. [Google Scholar] [CrossRef]
  12. Prabhu, R.; Barrios, E.; Bayala, J.; Diby, L.; Donovan, J.; Gyau, A.; Graudal, L.; Jamnadass, R.; Kehlenbeck, K. Agroforestry. In Proceedings of the Agroecology for Food Security and Nutrition, Rome, Italy, 18–19 November 2015; p. 201. [Google Scholar]
  13. van Khuc, Q.; Pham, L.; Tran, M.; Nguyen, T.; Tran, B.Q.; Hoang, T.; Ngo, T.; Tran, T.D. Understanding Vietnamese Farmers’ Perception toward Forest Importance and Perceived Willingness-to-Participate in Redd+ Program: A Case Study in Nghe an Province. Forests 2021, 12, 521. [Google Scholar] [CrossRef]
  14. Garrity, D.P.; Akinnifesi, F.K.; Ajayi, O.C.; Weldesemayat, S.G.; Mowo, J.G.; Kalinganire, A.; Larwanou, M.; Bayala, J. Evergreen Agriculture: A Robust Approach to Sustainable Food Security in Africa. Food Secur. 2010, 2, 197–214. [Google Scholar] [CrossRef]
  15. Charles, R.; Munishi, P.; Nzunda, E. Agroforestry as Adaptation Strategy under Climate Change in Mwanga District, Kilimanjaro, Tanzania. Int. J. Environ. Prot. 2013, 3, 29–38. [Google Scholar]
  16. Budiastuti, M.S. Sistem Agroforestri Sebagai Alternatif Hadapi Pergeseran Musim Guna Pencapaian Keamanan Pangan. Ekosains 2013, 5, 1–5. [Google Scholar]
  17. Kohli, R.K.; Singh, H.P. Ecological Interactions in Agroforestry: An Overview. Ecol. Basis Agrofor. 2007, pp. 2–14. Available online: https://www.researchgate.net/publication/328938938_Ecological_interactions_in_agroforestry_An_overview (accessed on 14 July 2022).
  18. Lundgren, B.; Nair, P.K.R. Agroforestry for Soil Conservation. Soil Eros. Conserv. 1985, 703–717. [Google Scholar] [CrossRef]
  19. Pretty, J.; Bharucha, Z.P. Sustainable Intensification in Agricultural Systems. Ann. Bot. 2014, 114, 1571–1596. [Google Scholar] [CrossRef]
  20. Zaremba, L.S.; Smoleński, W.H. Optimal Portfolio Choice under a Liability Constraint. Ann. Oper. Res. 2000, 97, 131–141. [Google Scholar] [CrossRef]
  21. Maharani, D.; Sudomo, A.; Swestiani, D.; Murniati; Sabastian, G.E.; Roshetko, J.M.; Fambayun, R.A. Intercropping Tuber Crops with Teak in Gunungkidul Regency, Yogyakarta, Indonesia. Agronomy 2022, 12, 449. [Google Scholar] [CrossRef]
  22. Maryanto, I. Bioresources Untuk Pembangunan Ekonomi Hijau; Susiloningsih, D., Ed.; Lembaga Ilmu Pengetahuan Indonesia (LIPI): Bogor, Indonesia, 2013. [Google Scholar]
  23. Sibuea, S.M.; Kardhinata, E.H.; Ilyas, S.; Serdang, S. Identifikasi Dan Inventarisasi Jenis Tanaman Umbi-Umbian Yang Berpotensi Sebagai Sumber Karbohidrat Alternatif Di Kabupaten Serdang Bedagai. J. Online Agroekoteknologi 2014, 2, 1408–1418. [Google Scholar]
  24. Suhardi. Mandiri Pangan Sejahterakan Rakyat; Kagama: Yogyakarta, Indonesia, 2011. [Google Scholar]
  25. Wahyono, A.; Arifianto, A.; Wahyono, N.D.; Riskiawan, H.Y. Prospek Ekonomi Kebijakan Pemanfaatan Produktivitas Lahan Tidur Untuk Pengembangan Porang Dan Jamur Tiram Di Jawa Timur. Cakrawala 2017, 11, 171–180. [Google Scholar] [CrossRef]
  26. Atiah, S.; Kaswinarni, F.; Dewi, L.R. Keanekaragaman Jenis Umbi-Umbian Yang Berpotensi Sebagai Bahan Pangan Di Desa Ngesrepbalong Kabupaten Kendal. EDUSAINTEK 2019, 3, 390–396. [Google Scholar]
  27. FAO. World Food and Agriculture; FAO Statis: Rome, Italy, 2012. [Google Scholar]
  28. Boakye, A.A.; Wireko-Manu, F.D.; Oduro, I.; Ellis, W.O.; Gudjónsdóttir, M.; Chronakis, I.S. Utilizing Cocoyam (Xanthosoma sagittifolium) for Food and Nutrition Security: A Review. Food Sci. Nutr. 2018, 6, 703–713. [Google Scholar] [CrossRef]
  29. Boakye-Achampong, S.; Ohene-Yankyera, K.; Aidoo, R.; Sørensen, O.J. Is There Any Economics in Smallholder Cocoyam Production? Evidence from the Forest Agro-Ecological Zone of Ghana. Agric. Food Secur 2017, 6, 44. [Google Scholar] [CrossRef]
  30. Oshunsanya, S.O. Quantification of Soil Loss Due to White Cocoyam (Colocasia esculentus) and Red Cocoyam (Xanthosoma sagittifolium) Harvesting in Traditional Farming System. Catena (Amst) 2016, 137, 134–143. [Google Scholar] [CrossRef]
  31. Boakye, A.A.; Gudjónsdóttir, M.; Skytte, J.L.; Chronakis, I.S.; Wireko-Manu, F.D.; Oduro, I. Characteristics of Xanthosoma sagittifolium Roots during Cooking, Using Physicochemical Analysis, Uniaxial Compression, Multispectral Imaging and Low Field NMR Spectroscopy. J. Food Sci. Technol. 2017, 54, 2670–2683. [Google Scholar] [CrossRef]
  32. Onyeka, J. Status of Cocoyam (Colocasia esculenta and Xanthosoma spp.) in West and Central Africa: Production, Household Importance and the Threat from Leaf Blight. In CGIAR Research Program on Roots, Tubers and Bananas (RTB); CGIAR: Lima, Peru, 2014. [Google Scholar]
  33. Knipscheer, H.C.; Wilson, J.E. Cocoyam Farming Systems in Nigeria. In Proceedings of the Tropical root crops: Research strategies for the 1980s. In Proceedings of the First Triennial Root Crops Symposium of the International Society for Tropical Root Crops-Africa Branch, Ibadan, Nigeria, 8–12 September 1980. [Google Scholar]
  34. Adjei, P.O.-W.; Buor, D.; Addrah, P. Ecological Health Effects of Rural Livelihood and Poverty Reduction Strategies in the Lake Bosomtwe Basin of Ghana. GeoJournal 2017, 82, 609–625. [Google Scholar] [CrossRef]
  35. Sardos, J.; Muller, S.; Duval, M.F.; Noyer, J.-L.; Lebot, V. Root Crops Diversity and Agricultural Resilience: A Case Study of Traditional Agrosystems in Vanuatu (Oceania). Agric. Hum. Values 2016, 33, 721–736. [Google Scholar] [CrossRef]
  36. Opara, L.U. Edible Aroids: Post Harvest Operations; Food and Agriculture Organization of the United Nations: Rome, Italy,, 2003. [Google Scholar]
  37. Labouisse, J.P. Ethnobotany of Breadfruit in Vanuatu: Review and Prospects. Ethnobiol. Lett. 2016, 7, 14–23. [Google Scholar] [CrossRef]
  38. Serna-Loaiza, S.; Carmona-Garcia, E.; Cardona, C.A. Potential Raw Materials for Biorefineries to Ensure Food Security: The Cocoyam Case. Ind. Crops Prod. 2018, 126, 92–102. [Google Scholar] [CrossRef]
  39. De Souza Araújo, S.; de Souza Araújo, P.; Giunco, A.J.; Silva, S.M.; Argandoña, E.J. Bromatology, Food Chemistry and Antioxidant Activity of Xanthosoma sagittifolium (L.) Schott. Emir J. Food Agric. 2019, 31, 188–195. [Google Scholar] [CrossRef]
  40. Sefa-Dedeh, S.; Agyic Sackey, E.K. Chemical Composition and the Effect of Processing on Oxalate Content of Cocoyam Xanthosoma Sagithifolium and Colocasia esculenta Cormels 85. Food Chem. 2004, 85, 479–487. [Google Scholar] [CrossRef]
  41. Ofori, H.; Tortoe, C.; Akonor, P.T.; Ampah, J. Trace Metal and Aflatoxin Concentrations in Some Processed Cereal and Root and Tuber Flour. Int. J. Food Contam. 2016, 3, 15. [Google Scholar] [CrossRef]
  42. Graf, B.L.; Zhang, L.; Corradini, M.G.; Kuhn, P.; Newman, S.S.; Salbaum, J.M.; Raskin, I. Physicochemical Differences between Malanga (Xanthosoma sagittifolium) and Potato (Solanum tuberosum) Tubers Are Associated with Differential Effects on the Gut Microbiome. J. Funct. Foods 2018, 45, 268–276. [Google Scholar] [CrossRef] [PubMed]
  43. Tresina, P.S.; Doss, A.; Mohan, V.R. Fatty Acid Composition of Underutilized Corms, Rhizomes and Tubers. Food Res. 2020, 4, 1569–1572. [Google Scholar] [CrossRef]
  44. Silva, L.F.L.E.; de Souza, D.C.; Resende, L.V.; Nassur, R.D.C.M.; Samartini, C.Q.; Gonçalves, W.M. Nutritional Evaluation of Non-Conventional Vegetables in Brazil. An. Acad. Bras. Cienc. 2018, 90, 1775–1787. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Surono, I.S.; Verhoeven, J.; Venema, K. Low Glycemic Load after Digestion of Native Starch from the Indigenous Tuber Belitung Taro (Xanthosoma sagittifolium) in a Dynamic in Vitro Model of the Upper GI Tract (TIM-1). Food Nutr. Res. 2020, 64, 1–5. [Google Scholar] [CrossRef] [PubMed]
  46. Latifah, E.; Prahardini, P. Identifikasi Dan Deskripsi Tanaman Umbi-Umbian Pengganti Karbohidrat Di Kabupaten Trenggalek. Agrosains J. Penelit. Agron. 2020, 22, 94–104. [Google Scholar] [CrossRef]
  47. Calle, J.; Benavent-Gil, Y.; Garzón, R.; Rosell, C.M. Exploring the Functionality of Starches from Corms and Cormels of Xanthosoma sagittifolium. Int. J. Food Sci. Technol 2019, 54, 2494–2501. [Google Scholar] [CrossRef]
  48. Coronell-Tovar, D.C.; Chávez-Jáuregui, R.N.; Bosques-Vega, Á.; López-Moreno, M.L. Characterization of Cocoyam (Xanthosoma spp.) Corm Flour from the Nazareno Cultivar. Food Sci. Technol. 2019, 39, 349–357. [Google Scholar] [CrossRef]
  49. Adewumi, F.D.; Lajide, L.; Adetuyi, A.O.; Ayodele, O. Functional Properties of Three Native Starches and Their Modified Derivatives. Potravin. Slovak J. Food Sci. 2020, 14, 682–691. [Google Scholar] [CrossRef]
  50. Sobowale, S.S.; Animashaun, O.H.; Mulaba-Bafubiandi, A.F.; Abidoye, T.S.; Kewuyemi, Y.O.; Adebo, O.A. Process Optimization of Extrusion Variables and Its Effect on Properties of Extruded Cocoyam (Xanthosoma sagittifolium) Noodles. Food Sci. Nutr. 2018, 6, 2210–2226. [Google Scholar] [CrossRef]
  51. Calle, J.; Benavent-Gil, Y.; Rosell, C.M. Use of Flour from Cormels of Xanthosoma sagittifolium (L.) Schott and Colocasia esculenta (L.) Schott to Develop Pastes Foods: Physico-Chemical, Functional and Nutritional Characterization. Food Chem. 2020, 344, 128666. [Google Scholar] [CrossRef]
  52. Rosida, D.F.; Sarofa, U.; Aliffauziah, D. Characteristics of Non-Gluten Noodles from Modified Cocoyam (Xanthosoma sagittifolium) and Porang (Amorphophallus oncophyllus). Ital. J. Food Sci. 2022, 34, 13–23. [Google Scholar] [CrossRef]
  53. Mauliddyah, R.S.; Damat, D.; Wahyudi, V.A. Kajian Aktivitas Antioksidan Mi Basah Substitusi Tepung Umbi Kimpul Dengan Penambahan Ekstrak Klorofil Batang Bayam Dan KAngkung. Food Technol. Halal Sci. J. 2022, 5, 78–92. [Google Scholar] [CrossRef]
  54. Briliannita, A. Supu La Chemical Properties and Acceptance in the Biscuit Formula of Belitung Taro Xanthosoma sagittifolium with Addition of Ant Nest Tubers (Hydnophytum Formicarum) Plant. Slova J. Food Sci. 2020, 14, 1176–1182. [Google Scholar]
  55. Puspitasari, D.; Rejeki, F.S.; Wedowati, E.R.; Koesruwulandari; Kadir, A. Kualitas Biskuit MP-ASI Dari Tepung Komposit Kimpul-Kacang Tunggak Dan Tepung Sagu Selama Penyimpanan. J. Res. Technol. 2020, 6, 70–80. [Google Scholar]
  56. Rosida, D.F.; Putri, N.A.; Oktafiani, M. Characteristics of Modified Flour Cookies (Xanthosoma sagittifolium) with the Addition of Tapioca. Agrointek 2020, 14, 45–56. [Google Scholar] [CrossRef] [Green Version]
  57. Lindriati, T.; Herlina, H.; Arbiantara, H.; Asrofi, M. Optimization of Meat Analog Production from Concentrated Soy Protein and Yam (Xanthosoma sagittifolium) Powder Using Pasta Machine. Food Res. 2020, 4, 887–895. [Google Scholar] [CrossRef]
  58. Lindriati, T.; Masahid, A.D.; Daroini, I.K. Aplikasi Daging Analog Berbahan Dasar Umbi Kimpul (Xanthosoma sagittifolium) Dan Isolat Protein Kedelai Pada Pembuatan Sosis. J. Teknol. Pertan. Andalas 2020, 24, 7. [Google Scholar] [CrossRef]
  59. Ngatini; Purwijantiningsih, E.; Pranata, F.S. Kualitas Yoghurt Sinbiotik Dengan Kombinasi Tepung Kimpul (Xanthosoma sagittifolium) Dan Sari Buah Mangga (Mangifera indica Var. Arumanis). Biota J. Ilm. Ilmu-Ilmu Hayati 2018, 3, 33–43. [Google Scholar] [CrossRef]
  60. Sari, D.; Purwadi, P.; Thohari, I. Upaya Peningkatan Kualitas Yoghurt Set Dengan Penambahan Pati Kimpul (Xanthosoma sagittifolium). J. Ilmu-Ilmu Peternak. 2019, 29, 131–142. [Google Scholar] [CrossRef]
  61. Iswadi, D.; Wibisana, A. Jufrinaldi Modifikasi Pati Talas Kimpul (Xanthosoma sagittifolium) Untuk Bahan Pengental Makanan. J. Ilm. Tek. Kim. 2019, 3, 105–112. [Google Scholar]
  62. Angelina, V.L.; Sijabat, E.E.; Widjaja, A.C.; Rahayu, L.H. Studi Awal Pembuatan Bioplastik Dari Pati Kimpul (Xanthosoma sagittifolium L. Schott) Dengan Penambahan Linseed Oil Dan Sorbitol. Pros. Semin. Nas. Sains dan Teknol. 2019, 1, 29–34. [Google Scholar]
  63. Sipayung, H.; Hartiati, A.; Gunam, I.B. Pengaruh Konsentrasi Bahan Penguat Terhadap Karakteristik Komposit Bioplastik Pati Talas (Xanthosoma sagittifolium) Dan Kitosan. J. Rekayasa dan Manaj. Agroindustri 2022, 10, 34–43. [Google Scholar] [CrossRef]
  64. Putri, M.K.; Karyantina, M.; Suhartatik, N. Aktivitas Antimikrobia Edible Film Pati Kimpul (Xanthosma Sagittifolium) Dengan Variasi Jenis Dan Konsentrasi Ekstrak Jahe (Zingiber officinale). J. Teknol. Ind. Pertan. 2021, 15, 15–24. [Google Scholar]
  65. Mendes, T.D.C.; de FM França, C.; Petrucci, K.P.O.S.; Souza, C.S.; Santos, J.S.; Finger, F.L. Postharvest Responses of Tannia (Xanthosoma sagittifolium) Leaves to Mechanical Wounding. Aust. J. Crop. Sci. 2017, 11, 419–423. [Google Scholar] [CrossRef]
  66. Ajala, T.O.; Silva, B.O. The Design of Ibuprofen-Loaded Microbeads Using Polymers Obtained from Xanthosoma sagittifolium and Dillenia Indica. Polim. Med. 2020, 50, 21–31. [Google Scholar] [CrossRef] [PubMed]
  67. Caxito, M.L.C.; Correia, R.R.; Gomes, A.C.C.; Justo, G.; Coelho, M.G.P.; Sakuragui, C.M.; Kuster, R.M.; Sabino, K.C.C. In Vitro Antileukemic Activity of Xanthosoma sagittifolium (Taioba) Leaf Extract. Evid.-Based Complementary Altern. Med. 2015, 2015, 384267. [Google Scholar] [CrossRef]
  68. Longjan, G.G.; Dehouche, Z. Nutrient Characterisation and Bioenergy Potential of Common Nigerian Food Wastes. Waste Manag. Res. 2018, 36, 426–435. [Google Scholar] [CrossRef]
  69. Farias, F.D.A.C.; de Souza Moretti, M.M.; Costa, M.S.; BordignonJunior, S.E.; Cavalcante, K.B.; Boscolo, M.; Gomes, E.; Franco, C.M.L.; da Silva, R. Structural and Physicochemical Characteristics of Taioba Starch in Comparison with Cassava Starch and Its Potential for Ethanol Production. Ind. Crops Prod. 2020, 157, 112825. [Google Scholar] [CrossRef]
  70. de Chavez, H.D.; Villavicencio, E.B.; Villancio, V.T.; Garcia, J.N.M.; Bulatao, M.J.G.; Villavicencio, M.L.H.; Bondad, J.J.B. Propagation Techniques for Rapid Establishment and Production of Cocoyam (Xanthosoma sagittifolium (L.) Schott). J. Int. Soc. Southeast Asian Agric. Sci. 2019, 25, 83–94. [Google Scholar]
  71. Husnarti. Analisis Usahatani Talas Kimpul di Nagari Durian Gadang Kecamatan Akabuluru Kabupaten Lima Puluh Kota. J. Pertan. UMSB 2017, 1, 1–7. [Google Scholar]
  72. Hidayat, S. The Study of Suweg (Amorphophallus paeoniifolius) and Other Undergrowth Species in Teak Plantation Forest of Temengeng, Blora, Indonesia. Biodiversitas 2019, 20, 37–42. [Google Scholar] [CrossRef]
  73. Pachas, A.N.A.; Sakanphet, S.; Soukkhy, O.; Lao, M.; Savathvong, S.; Newby, J.C.; Souliyasack, B.; Keoboualapha, B.; Dieters, M.J. Initial Spacing of Teak (Tectona grandis L.f.) in Northern Lao PDR: Impacts on the Growth of Teak and Companion Crops. For. Ecol. Manag. 2019, 435, 77–88. [Google Scholar] [CrossRef]
  74. Karimuna, L.; Ansi, A.; Marfi, W.E.; Wijayanto, T.; Hasanuddin, L. Growth and Yields of Two Varieties of Maize (Zea mays L.) Intercropped with Peanut (Arachys hypogaea L.) Applied by Bokashi plus Fertilizer between the Rows of Teak Trees Based Agroforestry System. In Proceedings of the IOP Conference Series: Earth and Environmental Science, Raipur, India, 25–26 February 2022; Volume 951, p. 012041. [Google Scholar]
  75. Purnomo, D.; Budiastuti, M.T.S.; Setyaningrum, D. The Role of Soybean Agroforestry in Mitigating Climate Change in Indonesia. In Proceedings of the IOP Conference Series: Earth and Environmental Science, Raipur, India, 25–26 February 2022; Volume 1016, p. 012024. [Google Scholar]
  76. Neupane, R.P.; Thapa, G.B. Impact of Agroforestry Intervention on Soil Fertility and Farm Income under the Subsistence Farming System of the Middle Hills, Nepal. Agric. Ecosyst. Environ. 2001, 84, 157–167. [Google Scholar] [CrossRef]
  77. Duffy, C.; Toth, G.G.; Hagan, R.P.O.; McKeown, P.C.; Rahman, S.A.; Widyaningsih, Y.; Sunderland, T.C.H.; Spillane, C. Agroforestry Contributions to Smallholder Farmer Food Security in Indonesia. Agrofor. Syst. 2021, 95, 1109–1124. [Google Scholar] [CrossRef]
  78. Rachmadyanto, B. Analisis Usahatani Ganyong Dan Permasalahannya di Desa Jatisari Kecamatan Tajinan Kabupaten Malang; Universitas Muhammadiyah Malang: Malang, Indonesia, 2011. [Google Scholar]
  79. Baluk, M.S.N. Analisis Pendapatan Usahatani Garut Dan Nilai Tambah Pati Garut Di Desa Waringinanom, Kecamatan Poncokusumo; Kabupaten Malang: Malang, Indonesia, 2021. [Google Scholar]
  80. Tatay, P.; Widiastuti, M.M.D.; Untari, U. Analisis Pendapatan Budidaya Dan Pengolahan Hasil Gembili (Dioscorea esculenta) Sebagai Sumber Pangan Alternatif Bagi Keluarga di Kampung Yanggandur. Musamus J. Agribus. 2018, 1, 32–40. [Google Scholar] [CrossRef]
  81. Hudiyani, I.; Purnaningsih, N.; Asngari, P.S. Hardjanto Persepsi Petani Terhadap Hutan Rakyat Pola Agroforestri Di Kabupaten Wonogiri, Provinsi Jawa Tengah. J. Penyul. 2017, 13, 64–78. [Google Scholar] [CrossRef]
  82. Hidayat, M.R. Kajian Pola Pertanian Dan Upaya Konservasi Di Dataran Tinggi Dieng Kecamatan Kejajar Kabupaten Wonosobo; Universitas Negeri Semarang: Semarang, Indonesia, 2015. [Google Scholar]
  83. Purnomo, A.S.; Laili, S.; Zayadi, H. Persepsi Masyarakat Tentang Agroforestri Di Desa Sumberejo Poncokusumo Malang. Biosaintropis 2022, 7, 9–14. [Google Scholar] [CrossRef]
  84. Suparwata, D.O. Pandangan Masyarakat Pinggiran Hutan Terhadap Program Pengembangan Agroforestri. J. Penelit. Sos. dan Ekon. Kehutan. 2018, 15, 47–62. [Google Scholar] [CrossRef]
  85. Susanti, Y.; Wulandari, C.; Kaskoyo, H.; Safe’i, R.; Yuwono, S.B. Persepsi Masyarakat Terhadap Pengelolaan Agroforestri Di Tahura Wan Abdul Rachman, Bandarlampung. J. Hutan Trop. 2021, 9, 472–487. [Google Scholar] [CrossRef]
  86. Ruhimat, I.S. Tingkat Motivasi Petani Dalam Penerapan Sistem Agroforestry. J. Penelit. Sos. dan Ekon. Kehutan. 2015, 12, 131–147. [Google Scholar] [CrossRef]
  87. Achmad, B.; Simon, H.; Diniyati, D.; Widyaningsih, T.S.; Agroforestry, B.P.T.; Km, J.C.B. Persepsi Petani Terhadap Pengelolaan Dan Fungsi Hutan Rakyat Di Kabupaten Ciamis. J. Bumi Lestari 2012, 12, 123–136. [Google Scholar]
  88. Fujiwara, T.; Awang, S.A.; Widayanti, W.T.; Septiana, R.M.; Bariatul, H.; Rahmat, M.; Suyanto, A.; Sato, N. Overcoming Vulnerability of Privately Owned Small-Scale Forest through Collective Management Unit Establishment: A Case Study of Gunung Kidul District, Yogyakarta in Indonesia. Int. J. Soc. For. 2011, 4, 95–120. [Google Scholar]
  89. Octavia, D.; Suharti, S.; Dharmawan, I.; Nugroho, H.Y.S.H.; Supriyanto, B.; Rohadi, D.; Njurumana, G.N.; Yeny, I.; Hani, A.; Mindawati, N. Mainstreaming Smart Agroforestry for Social Forestry Implementation to Support Sustainable Development Goals in Indonesia: A Review. Sustainability 2022, 14, 9313. [Google Scholar] [CrossRef]
  90. Bishaw, B.; Soolanayakanahally, R.; Karki, U.; Hagan, E. Agroforestry for Sustainable Production and Resilient Landscapes. Agrofor. Syst. 2022, 96, 447–451. [Google Scholar] [CrossRef]
  91. Mandasari, P.A.; Adim, M.; Aisjah, S.; Supriyadi, S.; Murniyanto, E. The Capacity of Agroforestry and Food Crop System for C Stock and Sequestration (Case Study on Saobi Island Madura). In Proceedings of the IOP Conference Series: Earth and Environmental Science, Raipur, India, 25–26 February 2022; Volume 1005, p. 012011. [Google Scholar]
  92. Imron, M.A.; Campera, M.; al Bihad, D.; Rachmawati, F.D.; Nugroho, F.E.; Budiadi, B.; Wianti, K.F.; Suprapto, E.; Nijman, V.; Nekaris, K.A.I. Bird Assemblages in Coffee Agroforestry Systems and Other Human Modified Habitats in Indonesia. Biology 2022, 11, 310. [Google Scholar] [CrossRef]
  93. Stewart, H.T.L.; Race, D.H.; Rohadi, D.; Schmidt, D.M. Growth and Profitability of Smallholder Sengon and Teak Plantations in the Pati District, Indonesia. For. Policy Econ. 2021, 130, 102539. [Google Scholar] [CrossRef]
  94. Khasanah, N.; Perdana, A.; Rahmanullah, A.; Manurung, G.; Roshetko, J.M.; van Noordwijk, M. Intercropping Teak (Tectona grandis L.f.) and Maize (Zea mays): Bioeconomic Trade-off Analysis of Agroforestry Management Practices in Gunungkidul, West Java. Agrofor. Syst. 2015, 89, 1019–1033. [Google Scholar] [CrossRef]
  95. Paul, C.; Weber, M.; Knoke, T. Agroforestry versus Farm Mosaic Systems–Comparing Land-Use Efficiency, Economic Returns and Risks under Climate Change Effects. Sci. Total Environ. 2017, 587, 22–35. [Google Scholar] [CrossRef]
  96. Hermudananto, H.; Permadi, D.B.; Septiana, R.M.; Riyanto, S.; Pratama, A.A. Adoption of Agroforestry-Porang Model for Land Utilization under Teak Stands. J. Pengabdi. Kpd. Masy. (Indones. J. Community Engagem.) 2019, 5, 416–436. [Google Scholar] [CrossRef]
  97. Prehaten, D.; Hardiwinoto, S.; Naâ, M.; Supriyo, H.; Widiyatno, W.; Rodiana, D. Productivity of Arrowroots and Taro Grown under Superior Teak Clones with Several Levels of Stand Density. Biosaintifika J. Biol. Biol. Educ. 2021, 13, 51–57. [Google Scholar] [CrossRef]
  98. Rohmayanto, Y.; Nurfatriani, F.; Kurniawan, A.S. Skala Usaha Ekonomis Perhutanan Sosial: Studi Komparasi Pada Agroforestry Dan Ekowisata Di Yogyakarta Dan Nusa Tenggara Barat. J. Penelit. Sos. dan Ekon. Kehutan. 2019, 16, 55–80. [Google Scholar]
  99. Rahman, S.A.; Jacobsen, J.B.; Healey, J.R.; Roshetko, J.M.; Sunderland, T. Finding Alternatives to Swidden Agriculture: Does Agroforestry Improve Livelihood Options and Reduce Pressure on Existing Forest? Agrofor. Syst. 2017, 91, 185–199. [Google Scholar] [CrossRef]
  100. Saefudin; Widiyono, W.; Hidayati, N.; Syarif, F.; Wawo, A.H.; Setyowati, N.; Juhaeti, T.; Rini, D.S. Zingiberaceae Utilization from East Banyumas Production Forest as Natural Edible Additives. In Proceedings of the SATREPS Conference, Bangkok, Thailand, 9 December 2021; Volume 3, pp. 19–29. [Google Scholar]
  101. Oktalina, S.N.; Awang, S.A.; Hartono, S. Strategi Petani Hutan Rakyat Dan Kontribusinya Terhadap Penghidupan Di Kabupaten Gunung Kidul. J. Kawistara 2015, 5, 221–328. [Google Scholar]
  102. Kurniasih, H.; Ford, R.M.; Keenan, R.J.; King, B. The Evolution of Community Forestry through the Growth of Interlinked Community Institutions in Java, Indonesia. World Dev. 2021, 139, 105319. [Google Scholar] [CrossRef]
  103. Purnomo, P.; Daryono, B.S.; Rugayah, R.; Sumardi, I. Studi Etnobotani dioscorea spp. (Dioscoreaceae) Dan Kearifan Budaya Lokal Masyarakat Di Sekitar Hutan Wonosadi Gunung Kidul Yogyakarta. J. Nat. Indones. 2013, 14, 191. [Google Scholar] [CrossRef]
  104. Balai KPH Yogyakarta. Rencana Pembangunan Jangka Panjang (RPJP) Balai Kesatuan Pengelolaan Hutan Yogyakarta Tahun 2014–2019; Dinas Kehutanan Provinsi Daerah Istimewa Yogyakarta: Yogyakarta, Indonesia, 2013. [Google Scholar]
  105. Roshetko, J.M.; Rohadi, D.; Perdana, A.; Sabastian, G.; Nuryartono, N.; Pramono, A.A.; Widyani, N.; Manalu, P.; Fauzi, M.A.; Purnomo, S. Teak Systems’ Contribution to Rural Development in Indonesia. In Proceedings of the World Teak Conference 2013, Bangkok, Thailand, 24–27 March 2013. [Google Scholar]
  106. Murniyanto, E.; Sugito, Y.; Guritno, B.; Handayanto, E. Sagittifolium Di Bawah Tegakan Hutan Produksi Jati: Penunjang Ketahanan Pangan. In Proceedings of the Reformasi Pertanian Terintegrasi Menuju Kedaulatan Pangan, Jawa Timur, Indonesia, 10 October 2011; pp. 1–8. [Google Scholar]
  107. Salako, F.K.; Lal, R.; Swift, M.J. Intercropping Oil Palm (Elaeis guineensis) with Cocoyam (Xanthosoma sagittifolium) on Windrows and Non-Windrows in Southern Nigeria. J. Sustain. Agric. 1995, 6, 47–60. [Google Scholar] [CrossRef]
  108. Valenzuela, H.R. Shade Tolerance and Photosynthesis of Cocoyam (Xanthosoma sagittifolium (L.) Schott). Ph.D. Thesis, University of Florida, Gainesville, FL, USA, 1990; p. 91. [Google Scholar]
  109. Valenzuela, H.R.; Schaffer, B.; Stephen, K.O. Shade and Nitrogen Influence Gas Exchange and Growth of Cocoyam (Xanthosoma sagittifolium). J. Am. Soc. Hortic. Sci. 1990, 115, 1014–1018. [Google Scholar] [CrossRef]
  110. Asante, M.O.O.; Ahiakpa, J.K.; Amoatey, C.; Adjei-Nsiah, S. Effect of Shade and Level of Fertilizer Application on Nutrient Uptake and Dry Matter Partitioning in Cocoyam (Xanthosoma sagittifolium L.). J. Plant Nutr. 2017, 40, 2312–2325. [Google Scholar] [CrossRef]
  111. Schaffer, B.; O’hair, S.K. Regular Paper Net CO2 Assimilation of Taro and Cocoyam as Affected by Shading and Leaf Age. Photosynth. Res. 1987, 11, 245–251. [Google Scholar] [CrossRef]
  112. Sugiyarto, S.; Permatasari, A.; Anggarwulan, E. Distribusi, Populasi Dan Karakter Morfologi Tanaman Kimpul (Xanthosoma sagittifolium (L.) Schott) Umbi Kuning Di Lereng Gunung Merapi Kabupaten Klaten. In Proceedings of the Prosiding Seminar Biologi, Jawa Tengah, Indonesia, 30 October 2012; Volume 9. [Google Scholar]
  113. Neupane, R.P.; Sharma, K.R.; Thapa, G.B. Adoption of Agroforestry in the Hills of Nepal: A Logistic Regression Analysis. Agric. Syst. 2002, 72, 177–196. [Google Scholar] [CrossRef]
  114. Wijaya, L.A.; Setiyanto, N.A. Perhitungan Perkiraan Jumlah Hasil Kayu Jati Balok Dengan Menggunakan Algoritma Genetika Di UD. Wahyu Jaya. Udinus Repos. 2013, pp. 1–9. Available online: http://eprints.dinus.ac.id/12630/1/jurnal_12777.pdf (accessed on 23 July 2022).
  115. Krithikadatta, J. Normal Distribution. J. Conserv. Dent. 2014, 17, 96–97. [Google Scholar] [CrossRef]
  116. Fusch, P.I.; Ness, L.R. Are We There Yet? Data Saturation in Qualitative Research. Walden Fac. Staff Publ. 2015, 20, 1408–1416. [Google Scholar] [CrossRef]
  117. Mead, R.; Willey, R.W. The Concept of a ‘Land Equivalent Ratio’ and Advantages in Yields from Intercropping. Exp. Agric. 1980, 16, 217–228. [Google Scholar] [CrossRef]
  118. Ong, C.K.; Kho, R.M. A Framework for Quantifying the Various Effects of Tree–Crop Interactions. In Tree-Crop Interactions, 2nd ed.; CAB International: Wallingford, UK, 2015. [Google Scholar]
  119. Ejara, E.; Bakala, N.; Taye, T.; Shimalis, Y. Regular Article Determination of Appropriate Maize Haricot Bean Arrangement in Moisture Stress Areas of Borana, Southern Ethiopia. J. Ecobiotechnology 2017, 9, 18–23. [Google Scholar]
  120. Maitra, S.; Hossain, A.; Brestic, M.; Skalicky, M.; Ondrisik, P.; Gitari, H.; Brahmachari, K.; Shankar, T.; Bhadra, P.; Palai, J.B. Intercropping—A Low Input Agricultural Strategy for Food and Environmental Security. Agronomy 2021, 11, 343. [Google Scholar] [CrossRef]
  121. Soekartawi. Agribisnis: Teori Dan Aplikasinya; PT.; Rajagrapindo Persada: Jakarta, Indonesia, 2013. [Google Scholar]
  122. Rahim, A.; Supardi, S.; Hastuti, D.R.D. Model Analisis Ekonomi Pertanian; Universitas Negeri Makasar Press: Makasar, Indonesia, 2012. [Google Scholar]
  123. Anggarwulan, E.; Solichatun; Mudyantini, W. Karakter Fisiologi Kimpul (Xanthosoma sagittifolium m (L.) Schott) Pada Variasi Naungan Dan Ketersediaan Air. Biodiversitas 2008, 9, 264–268. [Google Scholar]
  124. Daryanto, S.; Wang, L.; Jacinthe, P.A. Drought Effects on Root and Tuber Production: A Meta-Analysis. Agric. Water Manag. 2016, 176, 122–131. [Google Scholar] [CrossRef]
  125. Bragato, G.; Fornasier, F.; Bagi, I.; Egli, S.; Marjanović, Ž. Soil Parameters Explain Short-Distance Variation in Production of Tuber Aestivum Vittad. in an Oak Plantation in the Central-Northern Part of the Great Hungarian Plain (Jászság Region, Hungary). For. Ecol. Manag. 2021, 479, 118578. [Google Scholar] [CrossRef]
  126. Zhang, H.; Liu, X.; Nie, B.; Song, B.; Du, P.; Liu, S.; Li, L.; Zhao, Z. Nitrogen Management Can Inhibit or Induce the Sprouting of Potato Tubers: Consequences of Regulation Tuberization. Postharvest Biol. Technol. 2021, 183, 111722. [Google Scholar] [CrossRef]
  127. Adekiya, A.O.; Agbede, T.M.; Ojeniyii, S.O. The Effect of Three Years of Tillage and Poultry Manure Application on Soil and Plant Nutrient Composition, Growth and Yield of Cocoyam. Exp. Agric. 2015, 52, 466–476. [Google Scholar] [CrossRef]
  128. Bayala, J.; Sanou, J.; Teklehaimanot, Z.; Ouedraogo, S.J.; Kalinganire, A.; Coe, R.; Noordwijk, M. van Advances in Knowledge of Processes in Soil–Tree–Crop Interactions in Parkland Systems in the West African Sahel: A Review. Agric. Ecosyst. Environ. 2015, 205, 25–35. [Google Scholar] [CrossRef]
  129. Hakim, A.R.; Soelaksini, L.D.; Asyim RA, M. Suplai Dosis P Dan K Terhadap Laju Pertumbuhan Dan Produksi Tanaman Ubi Jalar (Ipomea batatas L.) Varietas Antin 3. Agriprima J. Appl. Agric. Sci. 2018, 2, 44–54. [Google Scholar] [CrossRef]
  130. Kwadzo, M.; Quayson, E. Factors Influencing Adoption of Integrated Soil Fertility Management Technologies by Smallholder Farmers in Ghana. Heliyon 2021, 7, e07589. [Google Scholar] [CrossRef]
  131. Kaba, J.S.; Yamoah, F.A.; Acquaye, A. Towards Sustainable Agroforestry Management: Harnessing the Nutritional Soil Value through Cocoa Mix Waste. Waste Manag. 2021, 124, 264–272. [Google Scholar] [CrossRef]
  132. Pachas, A.N.A.; Sakanphet, S.; Midgley, S.; Dieters, M. Teak (Tectona grandis. L.f.) Silviculture and Research: Applications for Smallholders in Lao PDR. Aust. For. 2019, 82, 94–105. [Google Scholar] [CrossRef]
  133. Kiswanto; Indradewa, D.; Putra, E.T.S. Pertumbuhan Dan Hasil Jagung (Zea mays L.), Kacang Tanah (Arachis hypogaea L.), Dan Jahe (Zingiber officinale Var. Officinale) Pada Sistem Agroforestri Jati di Zona Ledok Wonosari, Gunung Kidul. Vegetalika 2012, 1, 78–94. [Google Scholar]
  134. Adepoju, A.A.; Awodunmuyila, D.J. Economics of Cocoyam Production and Marketing in Ekiti East Local Government Area, Ekiti State, Nigeria.Pdf. Res. J. Appl. Sci. 2008, 3, 95–98. [Google Scholar]
  135. Azeez, A.A.; Madukwe, O.M. Cocoyam Production and Economic Status of Farming Households in Abia State, South-East, Nigeria. J. Agric. Soc. Sci. 2010, 6, 83–86. [Google Scholar]
  136. Sagoe, R.; Haleegoah, J.; Marfo, K.A. Economic Evaluation of Cocoyam (Xanthosoma sp.) and Maize (Zea mays) in a Mixed Cropping System. Ghana J. Agric. Sci. 2006, 39, 171–179. [Google Scholar] [CrossRef]
  137. Soekartawi. Analisis Usahatani; UI Press: Jakarta, Indonesia, 2002. [Google Scholar]
  138. Khasanah, N. Analisis Usahatani Ubi Kayu Monokultur Dan Tumpangsari Di Kecamatan Karanglewas Kabupaten Banyumas (Tesis); Sebelas Maret Surakarta; UNS (Sebelas Maret University): Kota Surakarta, Jawa Tengah, Indonesia, 2015. [Google Scholar]
  139. Ramadhani, S. Analisis Komparasi Kelayakan Usahatani Ubi Kayu (Manihot Esculenta Crantz) Dan Jagung (Zea mays L.) (Studi Kasus: Desa Kota Tengah, Kecamatan Dolok Masihul, Kabupaten Serdang Bedagai). Bachelor’s Thesis, Universitas Sumatra Utara, Sumatra Utara, Indonesia, 2018. [Google Scholar]
  140. Thamrin, M.; Mardhiyah, A.; Marpaung, S.E. Analisis Usahatani Ubi Kayu (Manihot Utilissima). Agrium Jurnal Ilmu Pertanian 2015, 18, 57–64. [Google Scholar]
  141. Prasetiaswati, N.; Radjit, B.S. Kelayakan Usahatani Ubi Jalar Dengan Penerapan Teknologi Pengguludan di Lahan Kering Masam Di Lampung. J. Penelit. Tanam. Pangan 2015, 31, 188–194. [Google Scholar]
  142. Faidah, U.; Subekti, E.; Awami, S.N. Faktor-Faktor Yang Mempengaruhi Pendapatan Usahatani Ubi Jalar (Ipomoea batatas L.) (Studi Kasus Pada Gapoktan “Nusa Bhakti” Desa Adinuso Kecamatan Reban Kabupaten Batang). MEDIAGRO 2015, 11, 60–68. [Google Scholar]
  143. Nkeme, K.K.; Ekanem, J.T.; Nse, V.A. Capacity Building Needs of Small-Holder Cocoyam (Xanthosoma sagittifoliuu) Farmers in Selected Rural Communities of Akwa Ibom State, Nigeria. J. Agric. Ext. 2021, 25, 32–42. [Google Scholar] [CrossRef]
  144. Bammite, D.; Matthews, P.; Dagon, D.; Agbogan, A.; Odah, K.; Dansi, A.; Tozo, K. Constraints to Production and Preferred Traits for Taro (Colocasia esculenta) and New Cocoyam (Xanthosoma mafaffa) in Togo, West Africa. Afr. J. Food Agric. Nutr. Dev. 2018, 18, 13389–13407. [Google Scholar] [CrossRef]
  145. Suhartono; Fauziyah, E.; Widiyanto, A. The Efficiency of Dryland Farming in Panggang Forest KPH Yogyakarta. E3S Web Conf. 2021, 306, 02019. [Google Scholar] [CrossRef]
  146. Anikwe, M.C.N.; Ezeaku, P.I.; Onyia, M.A.N. Tillage and Plastic Mulch Effects on Soil Properties and Growth and Yield of Cocoyam (Colocasia esculenta) on an Ultisol in Southeastern Nigeria. Soil Tillage Res. 2007, 93, 2640272. [Google Scholar] [CrossRef]
  147. Heywood, V.P.; Hunter, D.; Jarvis, A.S. Underutilized Species and Climate Change: Current Status and Outlook. Crop. Adapt. Clim. Change 2011, 26, 507–521. [Google Scholar]
  148. Owusu-Darko, A.; Omenyo, E.L.; Paterson, P. Cocoyam (Corms and Cormels) An Underexploited Food and Feed Resource. J. Agric. Chem. Environ. 2014, 31, 22–29. [Google Scholar] [CrossRef]
  149. Amadi, C.O.; Onyeka, J.; Chukwu, G.O.; Okoye, B.C.; Ezeji, L.; Ezigbo, E.C. Evaluation of Exotic Genotypes of Taro (Colocasia esculenta) in Nigeria. Niger. Agric. J. 2015, 46, 36–42. [Google Scholar]
  150. Acheampong, E.; Insaidoo, T.F.G.; Ros-Tonen, M.A.F. Management of Ghana’s Modified Taungya System: Challenges and Strategies for Improvement. Agrofor. Syst. 2016, 90, 659–674. [Google Scholar] [CrossRef]
  151. Pierotti, R.S.; Friedson-Ridenour, S.; Olayiwola, O. Women Farm What They Can Manage: How Time Constraints Affect the Quantity and Quality of Labor for Married Women’s Agricultural Production in Southwestern Nigeria. World Dev. 2022, 152, 105800. [Google Scholar] [CrossRef]
  152. Mabhaudhi, T.; Modi, A.T. Intercropping Taro and Bambara Groundnut. Sustain. Agric. Rev. 2014, 13, 275–290. [Google Scholar]
  153. Talwana, H.L.; Tumuhimbise, R.; Osiru, D.S.O. Comparative Performance of Wetland Taro Grown in Upland Production System as Influenced by Different Plant Densities and Seedbed Preparation in Uganda. J. Root Crops 2010, 36, 65–71. [Google Scholar]
  154. Weerarathne, L.V.Y.; Marambe, B.; Chauhan, B.S. Intercropping as an Effective Component of Integrated Weed Management in Tropical Root and Tuber Crops: A Review. Crop. Prot. 2017, 95, 89–100. [Google Scholar] [CrossRef]
  155. Oshunsanya, S.O. Alternative Method of Reducing Soil Loss Due to Harvesting of Sweet Potato: A Case Study of Low Input Agriculture in Nigeria. Soil Tillage Res. 2016, 158, 49–56. [Google Scholar] [CrossRef]
  156. Sinclair, F.L. A General Classification of Agroforestry Practice. Agrofor. Syst. 1999, 46, 161–180. [Google Scholar] [CrossRef]
Figure 1. The conceptual framework of this study.
Figure 1. The conceptual framework of this study.
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Figure 2. The location of the study area.
Figure 2. The location of the study area.
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Figure 3. The research plots of cocoyam plants: (a) in open land; (b) within the 12-year-old teak stand; (c) within the 42-year-old teak stand; (d) a cocoyam tuber.
Figure 3. The research plots of cocoyam plants: (a) in open land; (b) within the 12-year-old teak stand; (c) within the 42-year-old teak stand; (d) a cocoyam tuber.
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Figure 4. The production of cocoyam tubers and the LER values in the cocoyam and teak agroforestry systems.
Figure 4. The production of cocoyam tubers and the LER values in the cocoyam and teak agroforestry systems.
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Figure 5. The characteristics of the respondents.
Figure 5. The characteristics of the respondents.
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Figure 6. The farmers’ perceptions of cocoyam cultivation within teak stands.
Figure 6. The farmers’ perceptions of cocoyam cultivation within teak stands.
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Table 1. The microclimate and soil properties of the agroforestry research plots before cocoyam planting.
Table 1. The microclimate and soil properties of the agroforestry research plots before cocoyam planting.
VariableOpen LandTeak Stand (12 Years Old)Teak Stand (42 Years Old)
Microclimate Properties
Relative Light Intensity (%)100.0048.3062.50
Daytime Temperature (°C)31.7327.8328.10
Daytime Relative Humidity (%)59.0770.5369.50
Soil Properties
Sand (%)7.006.005.00
Silt (%)14.009.007.00
Clay (%)79.0085.0086.00
pH H2O7.40 (neutral)6.80 (neutral)6.80 (neutral)
C-Organic Matter (%)2.24 (medium)2.31 (medium)2.05 (medium)
Total N (%)0.23 (medium)0.23 (medium)0.21 (medium)
C/N10 (low)10 (low)10 (low)
P2O5 HCl 25% (mg/100 g)15.12 (low)13.65 (very low)10.09 (very low)
P2O5 Olsen (ppm)6.6 (very low)3.8 (very low)4.3 (very low)
K2O (mg/100 g)12.72 (low)12.68 (low)9.78 (very low)
Ca (cmol (+)/kg)50.40 (very high)40.60 (very high)35.34 (very high)
Mg (cmol (+)/kg)1.94 (medium)2.30 (high)2.16 (high)
Na (cmol (+)/kg)0.12 (low)0.10 (low)0.13 (low)
CEC (cmol (+)/kg)44.10 (very high)42.70 (very high)33.98 (very high)
Table 2. The structure of costs, revenue, and income for cocoyam farming at a 1 ha scale using three different cropping systems.
Table 2. The structure of costs, revenue, and income for cocoyam farming at a 1 ha scale using three different cropping systems.
NumberDescriptionCocoyam
Monoculture
Intercropping with Teak Stand (12 Years Old) Intercropping with Teak Stand (42 Years Old)
1Production Costs
-Explicit Costs (IDR)
 Herbicides400,000200,000200,000
-Implicit Costs (IDR)
 Rent for Land2,000,0001,200,0001,200,000
 Seeds4,000,0004,000,0004,000,000
 Family Labor9,500,0005,000,0005,000,000
2Total Costs (IDR)15,900,00010,400,00010,400,000
3Production (kg)567026402760
4Price/kg (IDR)300030003000
5Revenue (IDR)17,010,0007,920,0008,280,000
6Income (IDR)16,610,0007,720,0008,080,000
7Profit (IDR)1,110,000−2,480,000−2,120,000
Table 3. The productivity of cocoyam farming at a 1 ha scale using three different cropping systems.
Table 3. The productivity of cocoyam farming at a 1 ha scale using three different cropping systems.
No.Farming Feasibility CriteriaCocoyam
Monoculture
Intercropping with Teak Stand (12 Years Old)Intercropping with Teak Stand (42 Years Old)
1R/C 1.070.760.80
2Labor Productivity (IDR/working day)55,84213,26315,158
Table 4. The correlations between respondent characteristics and their perceptions of cocoyam cultivation within teak stands.
Table 4. The correlations between respondent characteristics and their perceptions of cocoyam cultivation within teak stands.
NumberCharacteristics of RespondentsCorrelation with Farmers’ Perceptions
Correlation CoefficientSig. (2-Tailed)Alpha
1Age (years)0.3350.710.05
2Gender−0.470 **0.090.05
3Length of Stay in Village (years)0.1670.3700.01
4Education (years)0.0810.6710.05
5Main Job0.0190.9190.05
6Side Job0.1700.3700.05
7Farming Experience (years)0.2900.1200.05
8Number of Family Members (person)−0.394 *0.0310.05
9Land Ownership (ha)−0.2300.9060.05
Note: ** Correlation is significant at the 0.01 level (2-tailed); * correlation is significant at the 0.05 level (2-tailed).
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Winara, A.; Fauziyah, E.; Suhartono; Widiyanto, A.; Sanudin; Sudomo, A.; Siarudin, M.; Hani, A.; Indrajaya, Y.; Achmad, B.; et al. Assessing the Productivity and Socioeconomic Feasibility of Cocoyam and Teak Agroforestry for Food Security. Sustainability 2022, 14, 11981. https://doi.org/10.3390/su141911981

AMA Style

Winara A, Fauziyah E, Suhartono, Widiyanto A, Sanudin, Sudomo A, Siarudin M, Hani A, Indrajaya Y, Achmad B, et al. Assessing the Productivity and Socioeconomic Feasibility of Cocoyam and Teak Agroforestry for Food Security. Sustainability. 2022; 14(19):11981. https://doi.org/10.3390/su141911981

Chicago/Turabian Style

Winara, Aji, Eva Fauziyah, Suhartono, Ary Widiyanto, Sanudin, Aris Sudomo, Mohamad Siarudin, Aditya Hani, Yonky Indrajaya, Budiman Achmad, and et al. 2022. "Assessing the Productivity and Socioeconomic Feasibility of Cocoyam and Teak Agroforestry for Food Security" Sustainability 14, no. 19: 11981. https://doi.org/10.3390/su141911981

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