Next Article in Journal
Efficiency of Recycled Biogas Digestates as Phosphorus Fertilizers for Maize
Next Article in Special Issue
The Vernacular and Rural Houses of Agrarian Areas in the Zeta Region, Montenegro
Previous Article in Journal
Effect of Inorganic Zinc on Selected Immune Parameters in Chicken Blood and Jejunum after A. galli Infection
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Are Chilean Pasture Seed End-Users Adopting New Species? Trends and Joinpoint Regression Analysis of the Last 19 Years of Seed Imports

by
Cristian J. Moscoso
1,*,
Fernando Ortega-Klose
2 and
Alejandra Acuña
3
1
Instituto de Investigaciones Agropecuarias, INIA Remehue, P.O. Box 24-0, Osorno 5290000, Chile
2
Instituto de Investigaciones Agropecuarias, INIA Carillanca, P.O. Box 58-D, Temuco 4880000, Chile
3
Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica, Santiago 7820436, Chile
*
Author to whom correspondence should be addressed.
Agriculture 2021, 11(6), 552; https://doi.org/10.3390/agriculture11060552
Submission received: 14 May 2021 / Revised: 10 June 2021 / Accepted: 12 June 2021 / Published: 17 June 2021

Abstract

:
Pastures are important for the agricultural sector as forage, recreational and sports systems. The Chilean pasture seed market is highly dependent on introduced genetics; however, the effect of climate change and market conditions can modify pasture options. The objective of this study was to quantify changes of the pasture seeds sown by Chilean end-users, as metric tons (Mt) or proportion of the total (PT), based on 19 years of imported seed. The Mann–Kendall test and joinpoint regression analysis were used to estimate the overall trends and the average annual percent change (AAPC) for the whole period, respectively. The total imported Mt had an increasing trend and AAPC (+5.7%), wherein a large PT corresponded to ryegrasses (Lolium spp.) (0.681), with increasing trends for Mt and PT. Clovers (Trifolium spp.) had decreasing trends and AAPC (−2.9% for Mt and −9.6% for PT). For PT, the main species was perennial ryegrass (L. perenne L.) (0.357), with increasing trends for Mt. As Mt, a positive AAPC was found for plantain (P. lanceolata L.) (+17.4%) and chicory (C. intybus L.) (+63.2%). Over a period of 19 years, based on Mt but not PT, Chilean end-users have been adopting new pasture species with a decreasing use of Trifolium spp.

1. Introduction

Grassland systems are one of the most important ecosystems in terms of providing feed to ruminants for milk and beef production [1]. It is estimated that at the global level, grasslands account for nearly 50% of feed use in livestock systems [2], 80% of the world’s cow milk production and 70% of the world´s beef and veal produced in temperate grasslands [3]. In addition to the importance of temperate pastures in bovine diets, some species are highly adapted to close cutting because they have a high recuperative growth capacity after damage and biomass removal, making them suitable for lawns and sports fields [4]. In this usage, the pasture surface is called turfgrass and has many attributes; it can be used as an ideal playing, walking and seating surface and also helps to prevent erosion of the soil by water and wind [5]. Both sectors (animal production and recreational sports) use pasture seeds to reach some of their objectives.
At the global level, the pasture and forage seed market has increased by 50% to 60% in volume since 1990, mainly due to the increased demand of seed for turf [6]. According to [7], the forage and turf world seed production of 19 selected species was 846,573 metric tons (Mt), composed of 30.4% perennial ryegrass (Lolium perenne L.), 20.5% Italian and Westerwolths ryegrasses (Lolium multiflorum Lam.) and 19.3% tall fescue (Festuca arundinacea Schreb.). Indeed, 10 years of data from the European Union (EU-27) indicate that grasses account for 92% of pasture seed production [8].
Ryegrasses (Lolium spp.) are recognized as the most important species in temperate climates where grazed pastures are the base for animal production [3,9], because of high yields, digestibility and adaptation to a range of production practices [10]. Within this genus, L. perenne is the most important species, with seed production for forage and turf accounting for 47% in the EU-27 [8] and 80% of the seed production area in New Zealand [11]. In terms of forage use, in the Republic of Ireland, L. perenne accounts for 95% of grass seed usage [12] and, in Northern Ireland, between 78% and 86% of seed sales in a 25-year survey [13].
Fescues (Festuca spp.) are the second-most important pasture grass worldwide, and F. arundinacea is one of the most important species in this genus [6]. These species have a broad range of suitability in zones with water scarcity, hot summers and low temperatures during the winter months. Due to these characteristics and the effect of climate change, the use of species in this genus may increase [14].
In contrast, forage legumes have a small place in seed production [7]. The three most important species in temperate regions are Medicago sativa L., Trifolium repens L. and Trifolium pratense L., and as forage legumes, they have a strategic role in safeguarding the agricultural value in less favorable environments [15]. Forage legumes are a pillar for sustainable production systems due to their natural capacity to fix atmospheric N, having the potential to reduce the detrimental effects of livestock on the environment [16,17], but improvement in seed production to meet market requirements is a prerequisite [18].
In Chile, permanent and temporary pastureland areas cover 14.1 million hectares, with only 3.6% corresponding to sown pastures, an increase of 10.9% in the main zones for beef and dairy farming (Los Ríos and Los Lagos Regions), where L. multiflorum and L. perenne are the most important species in terms of sown hectares [19]. These data are only from one census, and there is a lack of historical data for the pasture seed use. The only study published gives data from two years (1998–1999) of imports and exports of clovers and ryegrasses seed [20]. The study highlights the importance of ryegrass imports, but the analysis was performed in a short time period. For the turfgrass seed market, perennial ryegrass and tall fescue are the main cool season grasses [21].
Taking into consideration the effects of climate change, central and southern Chile has experienced a decrease in precipitations [22], and projections indicate an increase in minimum and maximum temperatures [23]. A change in the use of pasture species to other species with better characteristics to cope with higher temperatures and/or less available water is expected. Increasing the diversity of forage species could enhance grassland productivity in the temperate [24] and Nordic and Mediterranean regions [25]. However, not only is diversity important but also factors such as storage time, temperature and light requirements may be considered an adaptation strategy for the optimal seed germination and seedling emergence [26], and soil temperature measurement, a need in order to predict field emergence [27]. Based on these, the objective of the present study is to quantify trends and changes over time in the pasture seeds sown by Chilean end-users, as metric tons and proportion of the total, based on 19 years of imported seed, and how this may impact some agricultural policies.

2. Materials and Methods

2.1. Data Source, Criteria Selection and Classification

Raw data of imported forage seed between 2001 and 2019 were requested from the Office of Agricultural Studies and Policies (ODEPA), a branch of the Ministry of Agriculture of Chile, with information from the National Customs Services. These raw data sets consist of monthly and yearly information of imports of seed, in metric tons, of different genera, species and blends.
Records (n = 5029) for a 19-year period of forages, turfgrasses, forage legumes, forage herbs, brassicas, cereals and other minor species were collected. These records were analyzed individually to find, delete or correct errors in identity and classification. The selection criteria were based on pastures and related turfgrass species that are used under grazing or turfgrass regimes. The authors use the term related turfgrass to include some species of the genera Lolium and Festuca spp. that are recognized as having a dual purpose: forage and amenity [28,29]. Brassicas, cereals, lupine, vicia, sorghum and specific turf-type species were not the focus of this article. Verified import data were first classified into six groups: Lolium spp., Festuca spp., Trifolium spp., Medicago spp., other pastures and the not determined (ND) group. The ND group was reported without a clear classification, such as seed blends of different species or inconsistency in their names, but related to the above groups.
Each of the six groups described were subdivided further. The genus Lolium spp. was divided into perennial ryegrass (Lolium perenne L.), Italian and Westerwolths ryegrasses (Lolium multiflorum Lam.), hybrid ryegrasses (Lolium x hybridum Hausskn.) and Wimmera ryegrass (Lolium rigidum Gaudin). Festuca spp. was composed only of tall fescue (Festuca arundinacea Schreb.). The genus Medicago spp. was subdivided into alfalfa/lucerne (Medicago sativa L.), burr medic (Medicago polymorpha L.), and barrel medic (Medicago truncatula Gaertn.). Trifolium spp. was subdivided into white clover (Trifolium repens L.), subterranean clover (Trifolium subterraneum L.), berseem clover (Trifolium alexandrinum L.), red clover (Trifolium pratense L.), strawberry clover (Trifolium fragiferum L.), balansa clover (Trifolium michelianum Savi.), arrowleaf clover (Trifolium vesiculosum Savi.), crimson clover (Trifolium incarnatum L.), and kura clover (Trifolium ambiguum M. Bieb.). The other pastures group was composed of Dactylis glomerata L., x Festulolium Asch. & Graebn., Phalaris spp., Plantago lanceolata L., Cichorium intybus L., Lotus spp., Bromus spp. and Phleum pratense L. If within any single group the species description was confusing or not detailed, data were classified as ND.

2.2. Statistical Analysis

A descriptive analysis of the proportion of mean annual imports of the 19-year period was performed, and the proportion of pastures related to the total seed imports was calculated.
Two analyses were performed to study trends in the Chilean pasture seed market. Firstly, we examined the trend over the 19-year period by means of the Mann–Kendall test for non-autocorrelated data, or the modified Mann–Kendall test for autocorrelated data [30]. As these tests identify only monotonic trends (increasing, decreasing or no trend), and not the changes over time, the data were analyzed using a joinpoint (turning-point) regression analysis [31]. Joinpoint regression has been used to analyze trends in environmental issues [32], sales trends [33], ecological risk assessment [34], bibliometric analysis [35], but mainly in cancer surveillance [36]. This analysis determines when a significant change in trends is present, assessing the annual percent change (APC) between trend points and the year when a change in the trend is produced. A number of joinpoints are selected using the Bonferroni correction for multiple testing, and the tests of significance use a Monte Carlo permutation method [37]. For each group and species, the average annual percent change (AAPC) is calculated for the whole period. If no change in trends is observed in the joinpoint analysis, the AAPC value is identical to the APC.
Both Mann–Kendall tests and joinpoint regression analyses were used in two data sets, imported seed in metric tons (Mt) and the proportion of each group/species in relation to the total imported seed (PT). A p-value < 0.05 was considered statistically significant. For years with no import data, the time-point was omitted [38]. For Mann–Kendall tests, R [39] and PAST [40] software were used. For APC and AAPC, the Joinpoint Regression software was used [37].

3. Results

3.1. Total Imported Seed

Expressed as a proportion of the 19-year period mean (2698 Mt), the change in total imported seed between 2001 and 2015 ranged from −0.51 to +1.00, with positive proportions in year 2008 and from year 2010 onwards. After the peak in year 2015, the proportion of the mean annual imports decreased to nearly zero (+0.05) in 2019 (Figure 1). In terms of imported Mt of pastures (Table 1), an increasing trend was observed over the 19-year period and a significant AAPC of +5.7% (Table 2). Despite this, the joinpoint regression analysis for the total imported seed (Figure 2a) indicates a change in trend in year 2015, with a significant APC (+10.6%) from year 2001 to 2015, decreasing afterwards.

3.2. Genus and Group Trends and Changes

In the 19-year period, a large PT corresponded to the genus Lolium spp. (0.681) followed by Festuca spp. (0.119), Medicago spp. (0.086), Trifolium spp. (0.059), other pastures (0.049) and the ND group (0.006), with means of 1837 Mt, 320 Mt, 232 Mt, 161 Mt, 133 Mt and 15 Mt, respectively (Table 1).
In the period as a whole for Mt, Lolium spp., Festuca spp., and the other pastures group showed an increasing trend, but the latter had only a significant AAPC of +6.1% (Table 2). Lolium and Festuca spp. have had an increasing trend as a PT over the years, and Festuca spp. only, a significant AAPC of +2.4% (Table 2). The remaining genera have no trends for Mt and PT as in the genus Medicago spp., or a decreasing trend in Mt and PT as in the genus Trifolium spp. (Table 2). Both legumes have a significant AAPC as PT, −4.4% and −9.6%, respectively (Table 2).
Within the period for Mt, a change in trend was observed for Lolium spp., with joinpoints in 2003 and 2015. For this genus, a significant APC (+14.9%) was observed between 2003 and 2015 (Figure 2a). For Festuca spp., joinpoints in the years 2008 and 2011 were detected (Figure 2a), and in the period between 2001 to 2008 and 2011 to 2015, a significant APC was observed (+5.0% and +4.7%, respectively). The APC were less pronounced than Lolium spp. (+14.9%), but Festuca spp. was continuously increasing and did not show a decrease from 2015 as Lolium spp. did (Figure 2a). In terms of PT, the only genus with joinpoints was Lolium spp., in years 2003 and 2015, but only the period between 2003 and 2015 had a significant APC of +3.0% (Figure 2c).

3.3. Species Trends and Changes

For PT, the main reported species over the period was L. perenne (0.357), accounting for more than one-third of all documented species, representing 52.4% of the genus Lolium spp., followed by L. multiflorum (0.132), F. arundinacea (0.107), and the legumes M. sativa (0.085), T. repens (0.036) and T. subterraneum (0.011) (Table 3). In addition, there was an important proportion of ND seeds belonging to the genus Lolium spp. (0.121). As a percentage, the ND data within Lolium and Festuca spp. accounts for 17.9% and 9.6%, respectively. This contrasts with the low proportion of data not determined that was found between groups: only 0.006 (Table 3). In the other pastures group, the most important species were D. glomerata and x Festulolium, which represent a PT of 0.030 and 0.014, respectively (Table 3). Other pasture species appear intermittently and represent <0.001 of the total, such as L. rigidum, M. truncatula, T. vesiculosum, T. incarnatum, T. ambiguum, P. pratense, Bromus spp. and Lotus spp., with no imported material of the last two in the last 6 and 11 years, respectively (Table 3).
In the entire period, the species L. perenne, L. multiflorum, L. x hybridum and F. arundinacea have an increasing trend in Mt but none with a significant AAPC (Table 2). Only the species L. multiflorum and F. arundinacea showed an increasing trend as PT over this period, and the latter a significant APC of +2.6% (Table 2). In relation to legume species, M. sativa is the most important forage legume as Mt and PT (Table 3), representing 99.0% of all species within the genus. No trend for Mt was found, but a decreasing trend for PT was found (Table 2). The AAPC for Mt and for PT were not significant. The second-most important legume species in terms of seed imports was T. repens, representing 59.5% of Trifolium spp. For T. repens, no trend as imported Mt, but a decreasing trend as a PT was found in the 19-year period. Neither Mt or PT had a significant AAPC (Table 2). Similarly, T. subterraneum and T. alexandrinum had decreasing trends and a significant AAPC (−8.5% and −22.5%, respectively) as PT. The species T. fragiferum had a decreasing trend in Mt and PT, and the rest of the Trifolium spp. species have no trends in both types of analysis performed (Table 2). From the other pastures group, only D. glomerata showed an increase in terms of Mt, with a significant AAPC of +6.6% (Table 2). The forage herbs P. lanceolata and C. intybus have no trends but a significant AAPC (+17.4% and +63.2%, respectively) as Mt, and only C. intybus had an increasing trend as PT (Table 2).
When Mt import data were analyzed within the period, the joinpoint regression analysis indicates changes in the trends for L. perenne, L. multiflorum, L. x hybridum, F. arundinacea and T. repens (Figure 2b). The species L. perenne had one joinpoint in year 2003, and from that year onwards the APC was significant (+8.4%). L. multiflorum had two joinpoints for the years 2003 and 2015, the period between those years only had a significant APC (+45.8%). F. arundinacea had three joinpoints, in 2008, 2011 and 2017, and a significant APC from 2001 to 2008 (+6.8%) and from 2011 to 2017 (+7.8%). L. x hybridum had three joinpoints, in the years 2003, 2010 and 2013 and from 2001 to 2003 and from 2013 to 2019, a significant APC (+249.4% and −22.3%, respectively). The only legume with a joinpoint was T. repens, in year 2003. Following that year, a significant APC was observed (−4.4%). Analyzing the PT (Figure 2d), the same species except for F. arundinacea demonstrated at least one joinpoint. There was a significant APC of −7.4% for L. perenne between 2001 and 2008, and an APC of +33.2% for L. multiflorum from 2003 to 2014. There was an APC of +275.5% for L. x hybridum from 2001 to 2003, and an APC of −15.8% from 2012 to 2019. There was an APC of +180.7% for T. repens between the years 2001 and 2003, and an APC of −24.2% from 2003 to 2009 (Figure 2d).

4. Discussion

4.1. Overview of the Genus and Species Imported

In Chile, the amount of pasture seed use is small compared to worldwide usage. The pasture seed imported in 2007 represents less than 0.5% of the total world seed production [7]. Despite this, in Chile the pasture seed market has been dynamic in terms of imports with an increase of over 4000 Mt in the first 15 years of the period from 2001 to 2015. Mainly due to Lolium and Festuca spp. importations, both reflecting the increasing market as a component of forage and turf fields [28,29]. This overall figure is similar to the world seed production data [7], with a greater importance of grasses over legumes, and Lolium spp. over other genera [6].
Tendencies in imports of forage seed depend on multiple factors including the demand of seed by farmers, climatic factors that generate the need to sow pastures (drought, cold winters and others), and/or a high price of the animal products, mainly milk, leading to a higher investment in pasture establishment. If the US dollar exchange rate is favorable, the cost of imports is lower, seed production in Chile is less economically attractive and imports increase. International forage seed prices, alternative use of land, and profitability of cereals, all affect land use for Chilean forage seed production.
The import peak in the year 2015 could be due to higher pasture establishment due to the extreme drought event between January and March (Figure S1). This, coupled with the high mean air temperature (Figure S2), leads to an increase in the importations (Table 1 and Table 2). The accumulated precipitation in those months was only 22 mm, extremely low compared with the 40-year mean rainfall of 142 mm. Another reason may be the low US dollar exchange rate that year, high international wheat prices and the national area sown with cereals (mainly wheat and oat) that reached a peak between the years 2014 and 2016, which all contributed to making import of pasture and turfgrass seed more attractive than producing it in Chile [41]. The increase from 2001 to 2015 was mainly in the Lolium spp. group followed by Festuca spp. (Table 1, Figure 2a). The species L. multiflorum showed the biggest increase in the years 2014 to 2016 (Table 3, Figure 2b) and this was due to the availability of seed for this species and the lower price (personal communication of seed industry).
The CIF prices (nominal values) over the years for the imports of the genera Lolium and Festuca spp. had the lowest values compared to Medicago spp., Trifolium spp. and the other pastures group (Figure S3), making them more available in terms of price for end-users.
The increasing trend of ND seed (as Mt) within Lolium and Festuca spp., and their significant AAPC (+7.9% and +8.7%, respectively), diminish the option to have a more specific value of the real amount of seed. Unfortunately, within Lolium and Festuca spp. data, there is not enough detail in terms of cultivars or use. A more detailed classification system is needed in order to have clear information about the intrinsic characteristics of each species, farmer reseeding activity and the intended use of the seed. For example, in a 10-year period in the Republic of Ireland, overall imports of grass seed increased to over 5000 t, but mainly due to a doubling of amenity grass seed imports, with seed usage of grasses and clovers in agriculture between 3000 and 3500 t [12]. This reflects the importance of a more detailed data collection to neither underestimate nor overestimate the real use of the seed, to calculate the surface that is (theoretically) reseeding each year and to identify how pasture end-users are facing the constant challenge in growing and maintaining pastures. This valuable information allowed the quantification of the decline in reseeding activity in a nearly 30-year study in Northern Ireland [12], a decline in the use of early maturing cultivars and a steady increase in tetraploid perennial ryegrasses in a 25-year survey [13].
Legume species have great potential for production in the Mediterranean region of central Chile, because of plant survival under low rainfall conditions and the possibility to extend the growing period [42,43], but the higher CIF prices (nominal values) compared with ryegrasses and fescues could affect the adoption of these legumes by farmers (Figure S3). For instance, M. sativa is more tolerant of growth under limited water availability than a range of grasses, legumes and forage herbs species [44], and the persistence remains unchanged under different defoliation regimes [45]. This particular species has a strong Chilean seed production company that supplies an important amount of seed to farmers, masking the real use of this forage legume. Secondly, M. polymorpha does not show any trend (Table 2) and the PT is very low (Table 3). This species has good agronomic characteristics for Mediterranean conditions, and some cultivars were developed for sub-humid and humid Mediterranean zones [46].
For the Trifolium spp., the amount of seed imported may be a concern. It is the only group that showed a decrease in all parameters: Mt, PT and AAPC (−2.9% and −9.6% respectively). The species T. repens is by far the clover species with the largest amount of seed imports (Table 3). In 1999, data indicated that the clover import was approximately 271 Mt [20], but in the period from 2001 to 2019 the mean was 161 Mt (Table 1), with a continuous and significant decrease in importation (Table 2). From a grazing perspective, forage legumes have greater importance because of their high nutritional value in the ruminant diet and the ability to reduce N leaching by reducing the use of N fertilizers [17,47]. In terms of yield, there is an economically important advantage of the perennial ryegrass–white clover mixture in high N treatments (225–325 kg N ha−1 year−1), as summarized in a series of multisite-year research [48]. Grass and white clover mixtures have the potential to increase milk production per cow and similar levels of overall milk production than only grass systems, but with less fertilizer inputs [49].
A focus on better grazing management to improve the persistency, yield and use of the Trifolium spp. species should be considered, and the benefits of reseeding white clover or red clover in an existing permanent pasture can be considerable in terms of dry matter and crude protein yield [50].
Other forage legumes in temperate regions are less used [15] and have only a small place in the Chilean market. The evaluation in terms of yield and persistence is used to improve the animal production systems both in the Mediterranean production areas [43,51] and temperate ecosystems [17], characterized globally by a low adoption of annual legumes by farmers [52]. The successful development, particularly in Australia, of mainly annual legumes [53] and the new phenological stage scales developed for T. subterraneum and T. alexandrinum could help improve agronomical practices and increase the use of these less adopted species [54]. To increase the forage legume options, the T. pratense breeding program of the Instituto de Investigaciones Agropecuarias (INIA-Chile) has been working in the last three decades to improve persistence and forage yield, releasing new improved cultivars [55].
In the other pastures group, D. glomerata was the most important. This species could see a systematic improvement after a complete phylogenetic analysis of the genus Dactylis spp. [56]. Another option for farmers is the use of the hybrid x Festulolium, which has appeared continuously since 2006, but without any trend. This hybrid is an alternative to those species that lack the quality and resilience of x Festulolium to biotic and abiotic stresses [57].
The characteristics of P. lanceolata and C. intybus of increased productivity during summer months [58] and the tolerance of hot and dry conditions over other common species [59] are desired features that farmers need in order to extend the grazing period, helping to increase the persistence of sown species and reducing weed ingress when forage herbs are included in the pasture mixture on sheep and beef systems [60] and increasing milk production as a part of multispecies swards [61]. The forage herb C. intybus is suggested as a potential alternative to F. arundinacea, D. glomerata and L. perenne under frequent heat and drought stress [62].

4.2. Chances of Adopting New Species

There is a world tendency towards the use of specialized and proprietary cultivars [6], but market prices and volumes are the primary factors that determine the success of a new cultivar [63]. The development of cultivars adapted to abiotic stress is necessary, and is one of the issues that the seed industry must address with the climate change conditions [64].
Chile has a free market-oriented economy, and is usually in line with the world market. The Chilean market depends on international prices and quantities available on the market and internal dynamics such as prices of animal products and climatic conditions affecting the demand for forage seed. Moreover, the Chilean market is very dynamic in terms of available cultivars due to the few legal requirements when introducing a new variety into the market. In fact, the Chilean legal system allows the introduction of new cultivars of known species to the market without the requirement of performing a prior agronomic evaluation. This has at least three consequences. First, from the market standpoint there is a rapid change in available cultivars with less emphasis on its agronomic value and more on the seed price. Second, from the production point of view, there are no official data available regarding the agronomic value of the cultivars, so farmers have no possibility of choosing the cultivars better adapted to their environment [55]. Third, it is difficult for national breeding programs to compete in a market that works like a commodity market rather than as a specialized one.
Chile has good soil and climatic conditions and dry summer for seed production. In the forage and turf groups, Chile has not developed a competitive industry, due to the low and variable international price for forage and turfgrass seeds. These have not allowed the competitive development, in a medium-term perspective, of the required know-how for the industry to compete. To guarantee seeds of the best adapted cultivars to local conditions, a successful pasture seed industry must be developed [52].
In the last 60 years, few Chilean forage cultivars have been developed and reached the market. Only T. pratense has been important for both national and export markets [55]. The first two cultivars of the native grass Bromus valdivianus (Bromino-INIA and Bronco-INIA) that were developed in the last decade are only just now slowly getting into the market as “new” species [65]. Therefore, most of the forage and turf seed is imported and the amount of imported seed or national production depends on multiple factors (dollar change rate, international seed prices, competitive crop prices such as cereals, and others).
Local research on new imported pasture species is needed. In addition, introduced and local cultivars must be evaluated under abiotic stress conditions to measure their potential impact on yield and, in the case of turfgrass varieties, ornamental features. Forage breeding, from the range that comprises Mediterranean to Nordic areas, should improve plant strategies to face abiotic stresses and optimize growth and phenology to new seasonal changes [25]. Under these conditions, the introduction and evaluation of species or cultivars to extend the production period and increase productivity under rain-fed environments [43] is a first strategy to increase livestock productivity. For those with irrigation, strategies to improve water productivity to optimize forage production are documented [66,67].

4.3. Implications for the Agricultural Policies

The official source of data, which come from the Office of Agricultural Studies and Policies (ODEPA) with information from the National Customs Services, is detailed in terms of genus, but in many cases the data are incomplete in terms of species, cultivars or the intended use of the seed (forage or turfgrass). In some cases, there is no clear description of the species belonging to a specific genus (mean percentage of ND data is 17.9% in Lolium spp.). For dual-purpose species, identifying the cultivar name is the way to know the final use [8]. This implies that a more exact classification system should be implemented by the Office of Agricultural Studies and Policies (ODEPA) and the National Custom Services once the seed arrives at the national territory in order to specify data in terms of cultivar, blend name and the intended use of seed. These will allow a continuous quantification of the pasture seed imports at a country level, the estimation of the theoretical surface and tendencies at the species level.

5. Conclusions

The results show that over the last 19 years, pasture seed imports have an increasing trend and positive annual changes, largely dominated by the genera Lolium and Festuca spp., and L. perenne at the species level. However, the level of not determined data and the lack of cultivar information and/or the intended use of seed within each of both genera limits a more precise analysis. The genus Trifolium spp. and its main species (T. repens, T. subterraneum and T. alexandrinum) have a decreasing trend over time as a proportion of the total. Only D. glomerata, P. lanceolata and C. intybus showed some increasing trends. Focused on the results, Chilean end-users have been increasing the use of Lolium and Festuca spp., decreasing the use of Trifolium spp. and slowly adopting some new pasture species. The analysis of these tendencies is important to orientate plant breeding programs, research and extension to the farmers; however, more detailed data at the species and cultivar levels are needed to perform a more precise analysis. This would allow the design of agricultural policies to cope with climate change conditions and the prioritization of breeding and research in the agronomy of new species to enhance pasture and turfgrass systems.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/agriculture11060552/s1, Figure S1: Boxplot of monthly precipitation of each month from 2001 to 2019; Figure S2: Boxplot of monthly mean air temperature of each month from 2001 to 2019; Figure S3: Pastures and related turfgrass import CIF prices.

Author Contributions

Conceptualization, C.J.M., F.O.-K. and A.A.; methodology, C.J.M.; formal analysis, C.J.M.; investigation, C.J.M., F.O.-K. and A.A.; data curation, C.J.M.; writing—original draft preparation, C.J.M.; writing—review and editing, C.J.M., F.O.-K. and A.A.; visualization, C.J.M.; project administration, C.J.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Instituto de Investigaciones Agropecuarias, grant number 502087-70. The APC was funded by the Instituto de Investigaciones Agropecuarias.

Data Availability Statement

Data subject to third party restrictions. The data that support the findings of this study are available from ODEPA. Restrictions apply to the availability of these data.

Acknowledgments

Many thanks to Andrea Garcia L. from the Office of Agricultural Studies and Policies (ODEPA), Patricio Sandaña for the advice and statistical support, Gary Secor for the English guidance and the reviewers for their comments and suggestions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Oenema, O.; de Klein, C.; Alfaro, M. Intensification of grassland and forage use: Driving forces and constraints. Crop Pasture Sci. 2014, 65, 524–537. [Google Scholar] [CrossRef]
  2. Herrero, M.; Havlik, P.; Valin, H.; Notenbaert, A.; Rufino, M.C.; Thornton, P.K.; Blummel, M.; Weiss, F.; Grace, D.; Obersteiner, M. Biomass use, production, feed efficiencies, and greenhouse gas emissions from global livestock systems. Proc. Natl. Acad. Sci. USA 2013, 110, 20888–20893. [Google Scholar] [CrossRef] [Green Version]
  3. Wilkins, P.W.; Humphreys, M.O. Progress in breeding perennial forage grasses for temperate agriculture. J. Agric. Sci. 2003, 140, 129–150. [Google Scholar] [CrossRef]
  4. Duller, S.; Thorogood, D.; Bonos, S.A. Breeding Objectives in Amenity Grasses. In Fodder Crops and Amenity Grasses; Boller, B., Posselt, U., Veronesi, F., Eds.; Springer: New York, NY, USA, 2010; pp. 137–160. [Google Scholar]
  5. Beard, J.B.; Green, R.L. The Role of Turfgrasses in Environmental Protection and Their Benefits to Humans. J. Environ. Qual. 1994, 23, 452–460. [Google Scholar] [CrossRef] [Green Version]
  6. Bondesen, O. Seed production and seed trade in a globalised world. Seed production in the northern light. In Proceedings of the 6th International Herbage Seed Conference, Gjennestad, Norway, 18–20 June 2007; pp. 9–12. [Google Scholar]
  7. ISF Forage & Turf Crop Seed Statistics. Available online: http://www.worldseed.org/cms/medias/file/ResourceCenter/SeedStatistics/ForageandTurfSeedMarket/Seed_Production_of_Selected_Species_2006.pdf (accessed on 15 June 2016).
  8. Huyghe, C.; De Vliegher, A.; Van Gils, B.; Peeters, A. Grasslands in the economic supply chain: Related industries. In Grasslands and Herbivore Production in Europe and Effects of Common Policies; Huyghe, C., De Vliegher, A., Van Gils, B., Peeters, A., Eds.; éditions Quae: Versailles, France, 2014; pp. 227–238. ISBN 9782759221578. [Google Scholar]
  9. Chapman, D.F.; Bryant, J.R.; Olayemi, M.E.; Edwards, G.R.; Thorrold, B.S.; McMillan, W.H.; Kerr, G.A.; Judson, G.; Cookson, T.; Moorhead, A.; et al. An economically based evaluation index for perennial and short-term ryegrasses in New Zealand dairy farm systems. Grass Forage Sci. 2017, 72, 1–21. [Google Scholar] [CrossRef]
  10. McDonagh, J.; O’Donovan, M.; McEvoy, M.; Gilliland, T.J. Genetic gain in perennial ryegrass (Lolium perenne) varieties 1973 to 2013. Euphytica 2016, 212, 187–199. [Google Scholar] [CrossRef] [Green Version]
  11. Rolston, M.P.; Chynoweth, R.J.; Vreugdenhil, S.R.; Gunnarsson, A.M. Ryegrass seed production in New Zealand: Achieving 3000+ kg/ha yields. Agron. N. Z. 2018, 48, 115–123. [Google Scholar]
  12. Grogan, D.; Gilliland, T.J. A review of perennial ryegrass variety evaluation in Ireland. Ir. J. Agric. Food Res. 2011, 50, 65–81. [Google Scholar]
  13. Gilliland, T.J.; Johnston, J.; Connolly, C. A review of forage grass and clover seed use in Northern Ireland, UK between 1980 and 2004. Grass Forage Sci. 2007, 62, 239–254. [Google Scholar] [CrossRef]
  14. Hannaway, D.B.; Daly, C.; Halbleib, M.D.; James, D.; West, C.P.; Volenec, J.F.; Chapman, D.; Li, X.; Cao, W.; Shen, J.; et al. Development of suitability maps with examples for the United States and China. In Tall Fescue for the 21st Century; Fribourg, H.A., Hannaway, D.B., West, C.P., Eds.; ASA, CSSA, SSSA: Madison, WI, USA, 2009; pp. 33–47. [Google Scholar]
  15. Annicchiarico, P.; Barrett, B.; Brummer, E.C.; Julier, B.; Marshall, A.H. Achievements and Challenges in Improving Temperate Perennial Forage Legumes. Crit. Rev. Plant Sci. 2015, 34, 327–380. [Google Scholar] [CrossRef]
  16. Lüscher, A.; Mueller-Harvey, I.; Soussana, J.F.; Rees, R.M.; Peyraud, J.L. Potential of legume-based grassland-livestock systems in Europe: A review. Grass Forage Sci. 2014, 69, 206–228. [Google Scholar] [CrossRef] [PubMed]
  17. Ortega, F.; Inostroza, L.; Moscoso, C.; Parra, L.; Quiroz, A. Persistence and yield stability of temperate grassland legumes for sustainable animal production. In Improving Grassland and Pasture Management in Temperate Agriculture; Marshall, A.H., Collins, R., Eds.; Burleigh Dodds Science Publishing: Cambridge, UK, 2018; pp. 219–236. ISBN 9781786762009. [Google Scholar]
  18. Boelt, B.; Julier, B.; Karagić, Đ.; Hampton, J. Legume Seed Production Meeting Market Requirements and Economic Impacts. Crit. Rev. Plant Sci. 2015, 34, 412–427. [Google Scholar] [CrossRef]
  19. Moscoso, C.J.; Urrutia, N.L. Overview of the Forage Land-Use in Southern Chile in a Thirty-Year Period. Crop. Forage Turfgrass Manag. 2017, 3, 1–4. [Google Scholar] [CrossRef]
  20. Demanet, R.; Mora, M.L.; Cussen, C.R.; Rowarth, J.S. Seed Production in Chile; International Herbage Seed Production Research Group: Auckland, New Zealand, 2000; pp. 3–6. [Google Scholar]
  21. Acuña, A.; Moscoso, C.J.; Danneberger, K.; Muñoz-Araya, M. Evolution of Chile’s Turfgrass Seed Market (2001–2015). Int. Turfgrass Soc. Res. J. 2017, 13, 477–479. [Google Scholar] [CrossRef]
  22. Stolpe, N.; Undurraga, P. Long term climatic trends in Chile and effects on soil moisture and temperature regimes. Chil. J. Agric. Res. 2016, 76, 487–496. [Google Scholar] [CrossRef] [Green Version]
  23. Araya-Osses, D.; Casanueva, A.; Román-Figueroa, C.; Uribe, J.M.; Paneque, M. Climate change projections of temperature and precipitation in Chile based on statistical downscaling. Clim. Dyn. 2020, 54, 4309–4330. [Google Scholar] [CrossRef]
  24. Pembleton, K.G.; Tozer, K.N.; Edwards, G.R.; Jacobs, J.L.; Turner, L.R. Simple versus diverse pastures: Opportunities and challenges in dairy systems. Anim. Prod. Sci. 2015, 55, 893–901. [Google Scholar] [CrossRef]
  25. Ergon, Å.; Seddaiu, G.; Korhonen, P.; Virkajärvi, P.; Bellocchi, G.; Jørgensen, M.; Østrem, L.; Reheul, D.; Volaire, F. How can forage production in Nordic and Mediterranean Europe adapt to the challenges and opportunities arising from climate change? Eur. J. Agron. 2018, 92, 97–106. [Google Scholar] [CrossRef] [Green Version]
  26. Gresta, F.; Cristaudo, A.; Onofri, A.; Restuccia, A.; Avola, G. Germination response of four pasture species to temperature, light, and post-harvest period. Plant Biosyst. 2010, 144, 849–856. [Google Scholar] [CrossRef]
  27. Moot, D.J.; Scott, W.R.; Roy, A.M.; Nicholls, A.C. Base temperature and thermal time requirements for germination and emergence of temperate pasture species. N. Z. J. Agric. Res. 2000, 43, 15–25. [Google Scholar] [CrossRef] [Green Version]
  28. Humphreys, M.; Feuerstein, U.; Vandewalle, M.; Baert, J. Ryegrasses. In Fodder Crops and Amenity Grasses; Boller, B., Posselt, U.K., Veronesi, F., Eds.; Springer: New York, NY, USA, 2010; pp. 211–260. [Google Scholar]
  29. Rognli, O.A.; Saha, M.C.; Bhamidimarri, S.; van der Heijden, S. Fescues. In Fodder Crops and Amenity Grasses; Springer: New York, NY, USA, 2010; pp. 261–292. [Google Scholar]
  30. Hamed, K.H.; Rao, A.R. A modified Mann-Kendall trend test for autocorrelated data. J. Hydrol. 1998, 204, 182–196. [Google Scholar] [CrossRef]
  31. Kim, H.J.; Fay, M.P.; Feuer, E.J.; Midthune, D.N. Permutation tests for joinpoint regression with applications to cancer rates. Stat. Med. 2000, 19, 335–351. [Google Scholar] [CrossRef]
  32. Iarocci, G.; Cocchiara, R.A.; Sestili, C.; Del Cimmuto, A.; La Torre, G. Variation of atmospheric emissions within the road transport sector in Italy between 1990 and 2016. Sci. Total Environ. 2019, 692, 1276–1281. [Google Scholar] [CrossRef] [PubMed]
  33. Agaku, I.T.; Alpert, H.R. Trends in annual sales and current use of cigarettes, cigars, roll-your-own tobacco, pipes, and smokeless tobacco among US adults, 2002–2012. Tob. Control 2016, 25, 451–457. [Google Scholar] [CrossRef] [PubMed]
  34. Gillis, D.; Edwards, B.P.M. The utility of joinpoint regression for estimating population parameters given changes in population structure. Heliyon 2019, 5, e02515. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Cash-Gibson, L.; Rojas-Gualdrón, D.F.; Pericàs, J.M.; Benach, J. Inequalities in global health inequalities research: A 50-year bibliometric analysis (1966–2015). PLoS ONE 2018, 13, e0191901. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Chen, H.-S.; Mariotto, A.B.; Zhu, L.; Kim, H.-J.; Cho, H.; Feuer, E.J. Developments and challenges in statistical methods in cancer surveillance. Stat. Interface 2014, 7, 135–151. [Google Scholar] [CrossRef]
  37. NCI Joinpoint Regression Program, Version 4 8.0.1; National Cancer Institute: Bethesda, MD, USA, 2020.
  38. Xu, J.; Lin, Y.; Yang, M.; Zhang, L. Statistics and pitfalls of trend analysis in cancer research: A review focused on statistical packages. J. Cancer 2020, 11, 2957–2961. [Google Scholar] [CrossRef]
  39. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2017. [Google Scholar]
  40. Hammer, Ø.; Harper, D.A.T.; Ryan, P.D. PAST: Paleontological statistics software package for education and data analysis. Palaeontol. Electron. 2001, 4, 1–9. [Google Scholar]
  41. ODEPA. Estadisticas Económicas. Available online: https://www.odepa.gob.cl/estadisticas-del-sector/estadisticas-economicas (accessed on 6 October 2020).
  42. del Pozo, A.; Ovalle, C.; Espinoza, S.; Barahona, V.; Gerding, M.; Humphries, A. Water relations and use-efficiency, plant survival and productivity of nine alfalfa (Medicago sativa L.) cultivars in dryland Mediterranean conditions. Eur. J. Agron. 2017, 84, 16–22. [Google Scholar] [CrossRef]
  43. Ovalle, C.; Espinoza, S.; Barahona, V.; Gerding, M.; Humphries, A.; del Pozo, A. Lucerne and other perennial legumes provide new options for rain fed livestock production in the Mediterranean-climate region of Chile. Cienc. Investig. Agrar. 2015, 42, 453–460. [Google Scholar] [CrossRef]
  44. Neal, J.S.; Fulkerson, W.J.; Lawrie, R.; Barchia, I.M. Difference in yield and persistence among perennial forages used by the dairy industry under optimum and deficit irrigation. Crop Pasture Sci. 2009, 60, 1071–1087. [Google Scholar] [CrossRef]
  45. Burnett, V.F.; Butler, K.L.; Hirth, J.R.; Mitchell, M.L.; Clark, S.G.; Nie, Z. Lucerne (Medicago sativa L.) Persistence Remains Unchanged under Variable Cutting Regimes. Agronomy 2020, 10, 844. [Google Scholar] [CrossRef]
  46. Ovalle, C.; del Pozo, A.; Avendaño, J.; Aravena, T.; Díaz, M.E. Cauquenes-INIA, Nuevo cultivar de Hualputra Chilena (Medicago polymorpha) para Areas de Secano Mediterraneo. Agric. Técnica 2001, 61, 89–92. [Google Scholar] [CrossRef]
  47. Peyraud, J.L.; Le Gall, A.; Lüscher, A. Potential food production from forage legume-based-systems in Europe: An overview. Ir. J. Agric. Food Res. 2009, 48, 115–135. [Google Scholar]
  48. Chapman, D.F.; Crush, J.R.; Lee, J.M.; Cosgrove, G.P.; Stevens, D.R.; Rossi, L.; Popay, A.J.; Edwards, G.R.; King, W.M. Implications of grass–clover interactions in dairy pastures for forage value indexing systems. 6. Cross-site analysis and general discussion. N. Z. J. Agric. Res. 2018, 61, 255–284. [Google Scholar] [CrossRef]
  49. Dineen, M.; Delaby, L.; Gilliland, T.; McCarthy, B. Meta-analysis of the effect of white clover inclusion in perennial ryegrass swards on milk production. J. Dairy Sci. 2018, 101, 1804–1816. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Weggler, K.; Thumm, U.; Elsaesser, M. Development of Legumes After Reseeding in Permanent Grassland, as Affected by Nitrogen Fertilizer Applications. Agriculture 2019, 9, 207. [Google Scholar] [CrossRef] [Green Version]
  51. Ovalle, C.; del Pozo, A.; Fernández, F.; Chavarría, J.; Arredondo, S. Arrowleaf Clover (Trifolium vesiculosum Savi): A New Species of Annual Legumes for High Rainfall Areas of the Mediterranean Climate Zone of Chile. Chil. J. Agric. Res. 2010, 70, 170–177. [Google Scholar] [CrossRef] [Green Version]
  52. Porqueddu, C.; Ates, S.; Louhaichi, M.; Kyriazopoulos, A.P.; Moreno, G.; del Pozo, A.; Ovalle, C.; Ewing, M.A.; Nichols, P.G.H. Grasslands in ‘Old World’ and ‘New World’ Mediterranean-climate zones: Past trends, current status and future research priorities. Grass Forage Sci. 2016, 71, 1–35. [Google Scholar] [CrossRef]
  53. Nichols, P.G.H.; Revell, C.K.; Humphries, A.W.; Howie, J.H.; Hall, E.J.; Sandral, G.A.; Ghamkhar, K.; Harris, C.A. Temperate pasture legumes in Australia—their history, current use, and future prospects. Crop Pasture Sci. 2012, 63, 691–725. [Google Scholar] [CrossRef]
  54. Enriquez-Hidalgo, D.; Cruz, T.; Teixeira, D.L.; Steinfort, U. Phenological stages of Mediterranean forage legumes, based on the BBCH scale. Ann. Appl. Biol. 2020, 176, 357–368. [Google Scholar] [CrossRef]
  55. Ortega, F.; Parra, L.; Quiroz, A. Breeding red clover for improved persistence in Chile: A review. Crop Pasture Sci. 2014, 65, 1138–1146. [Google Scholar] [CrossRef]
  56. Stewart, A.V.; Ellison, N.W. A molecular phylogenetic framework for cocksfoot (Dactylis glomerata L.) improvement. Crop Pasture Sci. 2014, 65, 780–786. [Google Scholar] [CrossRef]
  57. Ghesquière, M.; Humphreys, M.W.; Zwierzykowski, Z. Festulolium. In Fodder Crops and Amenity Grasses; Boller, B., Posselt, U.K., Veronesi, F., Eds.; Springer: New York, NY, USA, 2010; pp. 293–316. [Google Scholar]
  58. Lee, J.M.; Hemmingson, N.R.; Minnee, E.M.K.; Clark, C.E.F. Management strategies for chicory (Cichorium intybus) and plantain (Plantago lanceolata): Impact on dry matter yield, nutritive characteristics and plant density. Crop Pasture Sci. 2015, 66, 168–183. [Google Scholar] [CrossRef]
  59. Langworthy, A.D.; Rawnsley, R.P.; Freeman, M.J.; Pembleton, K.G.; Corkrey, R.; Harrison, M.T.; Lane, P.A.; Henry, D.A. Potential of summer-active temperate (C3) perennial forages to mitigate the detrimental effects of supraoptimal temperatures on summer home-grown feed production in south-eastern Australian dairying regions. Crop Pasture Sci. 2018, 69, 808–820. [Google Scholar] [CrossRef]
  60. Tozer, K.; Barker, G.; Cameron, C.; Wilson, D.; Loick, N. Effects of including forage herbs in grass–legume mixtures on persistence of intensively managed pastures sampled across three age categories and five regions. N. Z. J. Agric. Res. 2016, 59, 250–268. [Google Scholar] [CrossRef] [Green Version]
  61. McCarthy, K.M.; McAloon, C.G.; Lynch, M.B.; Pierce, K.M.; Mulligan, F.J. Herb species inclusion in grazing swards for dairy cows—A systematic review and meta-analysis. J. Dairy Sci. 2020, 103, 1416–1430. [Google Scholar] [CrossRef]
  62. Perera, R.S.; Cullen, B.R.; Eckard, R.J. Growth and Physiological Responses of Temperate Pasture Species to Consecutive Heat and Drought Stresses. Plants 2019, 8, 227. [Google Scholar] [CrossRef] [Green Version]
  63. Gilliland, T.J. Control of Cultivar Release and Distribution. In Fodder Crops and Amenity Grasses; Boller, B., Posselt, U.K., Veronesi, F., Eds.; Springer: New York, NY, USA, 2010; pp. 175–199. [Google Scholar]
  64. Hampton, J.; Conner, A.; Boelt, B.; Chastain, T.; Rolston, P. Climate Change: Seed Production and Options for Adaptation. Agriculture 2016, 6, 33. [Google Scholar] [CrossRef] [Green Version]
  65. Ortega, F.; Moscoso, C.; Levío, J. Respuesta a la fertilización nitrogeneda de cultivares chilenos de bromo (Bromus valdivianus Phil) y de bromo Gala. In Proceedings of the del XXXVIII Congreso de la Sociedad Chilena de Producción Animal, Frutillar, Chile, 23–25 October 2013; Sociedad Chilena de Producción Animal: Frutillar, Chile, 2013; pp. 135–136. [Google Scholar]
  66. López-Olivari, R.; Ortega-Klose, F. Response of red clover to deficit irrigation: Dry matter yield, populations, and irrigation water use efficiency in southern Chile. Irrig. Sci. 2021, 39, 173–189. [Google Scholar] [CrossRef]
  67. Rogers, M.-J.; Lawson, A.; Kelly, K. Forage Options for Dairy Farms with Reduced Water Availability in the Southern Murray Darling Basin of Australia. Sustainability 2017, 9, 2369. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Comparison of imports of pastures and related turfgrass seed expressed as a proportion of the mean of the 19-year period (2698 Mt).
Figure 1. Comparison of imports of pastures and related turfgrass seed expressed as a proportion of the mean of the 19-year period (2698 Mt).
Agriculture 11 00552 g001
Figure 2. Joinpoint regressions (APC) for imported seed in terms of (a) metric tons for the total (∎), Lolium spp. (●) and Festuca spp. (♦); (b) metric tons for the species L. perenne (∎), L. multiflorum (●), L. x hybridum (♦), F. arundinacea (▲) and T. repens (x); (c) proportion of the total for Lolium spp. (∎); (d) proportion of the total for the species L. perenne (∎), L. multiflorum (●), L. x hybridum (♦) and T. repens (▲).
Figure 2. Joinpoint regressions (APC) for imported seed in terms of (a) metric tons for the total (∎), Lolium spp. (●) and Festuca spp. (♦); (b) metric tons for the species L. perenne (∎), L. multiflorum (●), L. x hybridum (♦), F. arundinacea (▲) and T. repens (x); (c) proportion of the total for Lolium spp. (∎); (d) proportion of the total for the species L. perenne (∎), L. multiflorum (●), L. x hybridum (♦) and T. repens (▲).
Agriculture 11 00552 g002
Table 1. Total pasture and related turfgrass seed imported (Mt) by group from 2001 to 2019.
Table 1. Total pasture and related turfgrass seed imported (Mt) by group from 2001 to 2019.
Group2001200220032004200520062007200820092010201120122013201420152016201720182019
Metric tons (Mt)
Lolium spp. 18728795947091148836975199415631816168022492263313542933152229124172033
Festuca spp. 1109157128179178128203197191360356417397489480540577504496
Medicago spp.17051133162234220334388468153118300365253221159275261145
Trifolium spp.12418724015825315417720014715318317412815214610514916760
Other pastures 23367111731046415315681178153177112185194167293108114
Not determined 3 111614 223 30182020 5963 21
Total1308134212071296193014021865293724502690250733373284421453934186358534782848
1 Some species of this genus (L. perenne and F. arundinacea) can be used under forage or turf situations. 2 Including D. glomerata, x Festulolium, Phalaris spp., P. lanceolata, C. intybus, Lotus spp., Bromus spp. and P. pratense. 3 Seed blends and data not classifiable between groups. Spaces with no data indicate no imported material in that year.
Table 2. Trends (Mann–Kendall) and joinpoints (AAPC and number) of imported seed from 2001 to 2019.
Table 2. Trends (Mann–Kendall) and joinpoints (AAPC and number) of imported seed from 2001 to 2019.
Metric tons (Mt)Proportion of the Total (PT)
Mann–KendallAAPC 3JoinpointsMann–KendallAAPC 3Joinpoints
Group/Speciesp-ValueTrend%np-ValueTrend%n
Total<0.001Increasing 25.7 42
Lolium spp.<0.001Increasing 24.330.001Increasing−0.23
  L. perenne<0.001Increasing 24.720.726No trend−1.12
  L. multiflorum<0.001Increasing 26.93<0.001Increasing2.93
  L. x hybridum0.001Increasing 217.230.363No trend11.83
  Not determined 10.007Increasing7.9 400.833No trend0.40
Festuca spp.<0.001Increasing 24.330.025Increasing2.4 40
  F. arundinacea<0.001Increasing 27.130.003Increasing2.6 40
  Not determined 10.024Increasing8.7 400.994No trend1.30
Medicago spp.0.441No trend2.600.074No trend−4.4 40
  M. polymorpha0.242No trend 0.431No trend
  M. sativa0.441No trend2.600.050Decreasing−6.10
Trifolium spp.0.021Decreasing−2.9 40<0.001Decreasing−9.6 40
  T. repens0.150No trend5.120.003Decreasing−1.33
  T. subterraneum0.383No trend5.100.001Decreasing−8.5 40
  T. alexandrinum0.061No trend−15.6 400.001Decreasing−22.5 40
  T. pratense0.456No trend7.400.901No trend0.10
  T. fragiferum0.029Decreasing−9.600.001Decreasing−16.60
  T. michelianum0.837No trend−4.800.372No trend−14.40
  T. vesiculosum0.360No trend 0.592No trend
  Not determined 10.276No trend2.100.154No trend
 Other pastures0.003Increasing6.1 400.233No trend−1.20
  D. glomerata0.009Increasing6.6 400.441No trend−1.30
  x Festulolium0.392No trend4.900.752No trend−2.70
  Phalaris spp.0.011Decreasing−12.9 400.001Decreasing−21.8 40
  P. lanceolata0.096No trend17.4 400.372No trend7.20
  C. intybus0.064No trend63.2 400.046Increasing24.10
  Lotus spp.0.386No trend 0.500No trend
  Bromus spp.0.080No trend 0.386No trend
 Not determined 10.212No trend27.7 400.996No trend−0.40
1 Data not classifiable within a group or species. 2 Modified Mann–Kendall test used. 3 Average annual percent change. 4 Significantly different from zero at alpha = 0.05. The species L. rigidum, M. truncatula, T. incarnatum, T. ambiguum and P. pratense, as well as spaces with no data indicate no sufficient data to perform the analysis.
Table 3. Proportion of the total seed imports (PT) of species of pasture and related turfgrass by group from 2001 to 2019.
Table 3. Proportion of the total seed imports (PT) of species of pasture and related turfgrass by group from 2001 to 2019.
Group/Species2001200220032004200520062007200820092010201120122013201420152016201720182019
Lolium spp.
L. perenne0.5250.5440.3100.3360.4460.4180.2630.2740.2510.4140.3460.3430.3270.2940.3190.3740.3720.4350.404
L. multiflorum0.0690.0240.0050.0240.0210.0200.0260.1050.1260.0570.0700.1720.1400.2400.2390.2510.1140.0720.173
L. x hybridum0.0070.0120.0750.0810.0620.0360.0670.0490.0470.0400.1170.1020.1820.1080.0570.0490.0540.0420.059
L. rigidum 0.0060.008
 Not determined 10.0670.0750.1010.1010.0570.1210.1670.2520.2140.1650.1370.0570.0410.1020.1810.0790.0990.1470.078
Festuca spp.
F. arundinacea0.0680.1130.0760.1180.0790.0900.0970.0600.0760.1160.1270.1180.1190.1070.0820.1240.1490.1330.129
 Not determined 10.0150.0040.0300.0200.0130.0010.0120.0060.0020.0180.0150.0070.0020.0100.0080.0050.0120.0120.044
Medicago spp.
M. polymorpha 0.0010.0020.003 <0.0010.0020.0020.0020.002 <0.0010.002
M. sativa0.1300.0380.1100.1250.1210.1560.1770.1300.1910.0560.0450.0880.1090.0580.0410.0380.0760.0720.051
M. truncatula <0.001 <0.001 0.001
Trifolium spp.
T. repens0.0160.0790.1480.0870.0960.0710.0500.0380.0230.0310.0410.0310.0240.0210.0120.0180.0260.0340.018
T. subterraneum 0.0370.0160.0250.0260.0180.0280.0100.0090.0120.0040.0150.0100.0080.0010.0030.0140.0090.003
T. alexandrinum0.0220.0110.033 0.018 0.0070.0080.006 0.001<0.0010.002
T. pratense <0.0010.0020.0020.001<0.001<0.0010.008<0.001<0.001<0.001<0.0010.0010.0130.002<0.0010.001<0.001
T. fragiferum0.0040.003 0.0030.0030.0010.0010.0090.001<0.0010.0020.001<0.001<0.001 <0.0010.001
T. michelianum 0.0010.0010.003 0.0020.004 0.003 0.0010.0010.001<0.001 0.0010.001
T. vesiculosum <0.0010.001 <0.0010.0010.001 <0.001
T. incarnatum <0.001<0.001
T. ambiguum <0.001 <0.001
 Not determined 10.0540.001<0.0010.0070.002 0.0130.0070.0030.0040.0280.0030.0020.0040.001
Other pastures
D. glomerata0.0130.0270.0670.0330.0490.0350.0430.0230.0180.0320.0370.0350.0230.0270.0190.0180.0600.0250.027
x Festulolium 0.0110.008 0.0080.0300.0280.0160.0330.0210.0070.0080.0120.0150.0220.0220.0030.010
Phalaris spp.0.0080.0190.0120.0090.0050.0010.0050.002 0.0070.0020.002<0.001<0.001 0.001
P. lanceolata <0.001 0.001 <0.0010.0010.001<0.001<0.0010.0020.001<0.001 0.0010.001
C. intybus <0.001 <0.001<0.001 <0.001 0.0010.001<0.0010.001<0.001<0.001 0.0010.001
Lotus spp.0.0040.0030.0030.004 0.0040.002
Bromus spp.0.001 <0.001 0.001 0.0010.0010.0010.001
P. pratense <0.001
Not determined 1 0.0010.0010.0120.007 0.0120.001 0.0110.0070.0060.006 0.0110.015 0.006
1 Data not classifiable within a group or species. Spaces with no data indicate no imported material in that year.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Moscoso, C.J.; Ortega-Klose, F.; Acuña, A. Are Chilean Pasture Seed End-Users Adopting New Species? Trends and Joinpoint Regression Analysis of the Last 19 Years of Seed Imports. Agriculture 2021, 11, 552. https://doi.org/10.3390/agriculture11060552

AMA Style

Moscoso CJ, Ortega-Klose F, Acuña A. Are Chilean Pasture Seed End-Users Adopting New Species? Trends and Joinpoint Regression Analysis of the Last 19 Years of Seed Imports. Agriculture. 2021; 11(6):552. https://doi.org/10.3390/agriculture11060552

Chicago/Turabian Style

Moscoso, Cristian J., Fernando Ortega-Klose, and Alejandra Acuña. 2021. "Are Chilean Pasture Seed End-Users Adopting New Species? Trends and Joinpoint Regression Analysis of the Last 19 Years of Seed Imports" Agriculture 11, no. 6: 552. https://doi.org/10.3390/agriculture11060552

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop