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Article

Comparative and Correlation Analysis of Young and Mature Kaffir Lime (Citrus hystrix DC) Leaf Characteristics

1
Department of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Sumedang 45363, West Java, Indonesia
2
Department of Agronomy and Horticulture, Faculty of Agriculture, Institut Pertanian Bogor, Bogor 16680, West Java, Indonesia
3
Research Center for Pharmaceutical Ingredient and Traditional Medicine, National Research and Innovation Agency, Cibinong 16911, West Java, Indonesia
*
Author to whom correspondence should be addressed.
Int. J. Plant Biol. 2022, 13(3), 270-280; https://doi.org/10.3390/ijpb13030023
Submission received: 7 June 2022 / Revised: 16 June 2022 / Accepted: 17 June 2022 / Published: 15 August 2022

Abstract

:
Kaffir lime is leaf-oriented minor citrus that required extra attention to study. This study aimed to (i) comparatively analyze the young and mature leaf morpho-ecophysiological characters; and (ii) perform a correlation analysis for revealing the relationship among the physiological characters. Plants were ten one-year-old kaffir lime trees cultured under full sun condition. Leaf size was measured by using a specific allometric model. The Li-6400XT portable photosynthesis system was used to observe the leaf ecophysiological characters. The statistical analysis revealed significant differences in leaf size and physiology as the effect of leaf age. A significant size enlargement in mature leaves was noticed, especially in terms of leaf length, area, and weight, of about 77%, 177%, and 196%, respectively. Young leaves experienced a significant improvement in photosynthetic rate and actual water use efficiency for about 39% and 53%, respectively. Additionally, a strong, significant, and positive correlation between leaf chlorophyll, carotenoid content, and photosynthetic rate was found in the present study. Further studies using a multi-omics approach may enrich the science between kaffir lime leaf maturation as the basis of agricultural modification practice.

1. Introduction

Citrus, an ancient crop [1], has become one of the most important horticulture commodities worldwide, with a quadruple production gain during the 1960s to 2012 [2]. The latest genomic study revealed the Southeastern Himalayan valley as citrus original site, before eventually spreading around the world by numerous human activities [3]. Southeast Asian countries (Vietnam, Thailand, and Indonesia) are citrus (lime) exporters to the world market [4] and has become the center of diversity for kaffir lime [5,6].
Unlike fruit-oriented citrus in general, the kaffir lime is more popular for its leaves [7,8,9] in Asian cooking recipes [9,10,11] and for essential oils [12,13,14]. In the future, the uses of kaffir lime leaf as a cooking spice and essential oil would increase, along with the increase in population growth. Numerous studies have proved various pharmacological properties of citrus essential oil, such as stress relief and sleep relaxation [15], larvacidal [16], antifeedant [17], antibacterial [18], antifungal [19], antiparasitic [20], antimicrobial [21], anticancer [22], anti-inflammatory [23], and antioxidant [24]. Due to its economic importance, its production should meet the demand. Strategies to gain agri-production can be land expansion and or intensifying of agri-inputs, i.e., seedling, fertilizer, irrigation, and pest control agents [25].
To gain kaffir lime production means to produce more leaves. Leaves serve as the main source organ, where the photosynthesis process takes place [26,27], whose growth patterns can go simultaneously or alternately with the root part [28]. Due to the effect of leaf growth, an early study classified its functionality to be young and mature leaves [29]. Different leaf ages may display different leaf morpho-physiological characters. Leaf age is an important variable to study due to its association with energy partition [30] and pest control issues [31,32,33]. Previous studies [34,35] have been described the effect of leaf age on a plant in general. However, there is still limited research specific to the leaf morpho-physiological characteristics of a leaf-oriented citrus variety such kaffir lime. Therefore, the present study aimed to (i) comparatively analyze the leaf morpho-ecophysiological character as the leaf is getting mature; and (ii) perform a correlation analysis for revealing the relationship among the physiological characters.

2. Materials and Methods

2.1. Study Site and Plant Material

The present study was carried out in the Pasir Kuda experimental garden, IPB University, Bogor, Indonesia (6°36′36″ S, 106°46′47″ E, 239 m above sea level), from March 2018 to March 2019. Ten one-year-old kaffir lime trees cultured on latosol soil and under tropical open-field conditions were used as the plant materials in the present study. The plants, originated from grafted seedling into Rangpur lime rootstock, were raised by fertilizer application (Dose per plant: 20 g N, 15 g P2O5 and 10 g K2O), hand weeding, and insecticide application (if necessary).

2.2. Research Procedure

A single young and mature leaf was selected in each tree; thus, there were 10 young leaves and 10 mature leaves involved in the present study. Due to the completely randomized design used by the present experiment, the selection of the targeted leaf was random in numerous leaves in the kaffir lime canopy, as long as the targeted leaf is pest and disease damage free and display a normal bifoliate form. In general, the one-year-old kaffir lime trees were ± 1 m in height and had 120–150 leaves.

2.3. Measured Variables

Variables of leaf size, such as leaf length, leaf area, and leaf weight, were measured by using an allometric approach specific to Indonesian kaffir lime [7]. Leaf ecophysiological characteristics were measured by using a Li-6400XT portable photosynthesis system (Licor Inc., Lincoln, NE, USA) in the sunny day at 9:30 a.m., 7 March 2019. A Li-6400XT was able to measure the rate of transpiration (mmol H2O m−2 s−1), the rate of photosynthesis (μmol CO2 m−2 s−1), stomatal conductance (mol H2O m−2 s−1), incoming radiation (W m−2), and leaf temperature (°C). In every single measured leaf, there would be three measurements (triplo) made automatically by the Li-6400XT, defined as three observational replications. In addition, the actual water-use efficiency (WUE) of the kaffir lime leaf was calculated by dividing the obtained photosynthetic rate to the transpiration rate and then expressed in μmol CO2 mmol H2O−1. The actual light-use efficiency (LUE) was calculated by dividing the leaf fresh weight to perceived sunlight and then expressed in μg lux−1. The pigment content was measured by using a spectrophotometer following a previous study [36].

2.4. Data Analysis

Collected data were then subjected to the least significant difference (LSD) test at α 5% in Statistical Analysis Software (SAS) version 9.4 (SAS Institute Inc, Cary, NC, USA). Correlation analysis was performed between the photosynthetic rate and leaf pigment content (chlorophyll-a, chlorophyll-b, chlorophyll total, carotenoid and anthocyanin) by using Statistical Tool for Agricultural Research (STAR) version 2.0.1. (IRRI, Los Banos, Philippines).

3. Results and Discussion

3.1. Comparative Analysis of Leaf Morphological Character

Leaf size is an important morphological character that has been frequently observed in numerous papers. The area of leaf is aimed to evaluate the accumulation of plant biomass [37] and also the leaf growth [38,39,40]. In addition, leaf size was also the basis for considering the suitability of ornamental citrus potted plant that is widely developed in green cities [41,42]. The leaf weight was also used for similar purposes, with an addition to know the leaf harvesting index [43]. Leaf length was previously reported to be used as input in a non-destructive allometric model to estimate leaf area and leaf weight on kaffir lime [7].
Statistical analysis in the present study showed that young leaves experienced a significant size enlargement as the leaf is getting older. Young leaf length was 6.20 cm, while the mature one had already 10.99 cm. The mature leaf area was 29.18 cm2, while the young one was only 10.53 cm2. Individual leaf weight was recorded at 0.30 g and 0.88 g during its young and mature stage, respectively. The weight, area, and length of the young leaves were significantly increased up to 196%, 177%, and 77%, respectively, when it turned into the mature phase (Figure 1a–c). As the leaf maturation process continued the young leaf was getting broader to the maximum size [44,45]. The variation in leaf size might lead to different physiological responses, since leaf area is associated with the light absorption site on plants [46,47].

3.2. Comparative Analysis of Leaf Eco-Physiological Characters

The portable photosynthesis system measured no significant difference in the ecophysiological characters regarding leaf temperature between young and mature leaves of kaffir lime. The variation in leaf temperature in the present study was 24.48–24.58 °C (Figure 2a). This range was still in the normal category, since an earlier study reported that 75% of net assimilation rate was carried out at 20–30 °C [48]. Above that regime was categorized as high temperature, and the high temperature resulted in a restriction on citrus photosynthetic capacity [49].
The leaf temperature was associated with the incoming radiation, since the sunlight not only becomes the main raw material for assimilation but also it could release some heat to the plant. Thus, incoming radiation was also interesting to reveal. The present finding found no significant difference in radiation exposed to young and mature leaves, i.e., 160 W m−2 (Figure 2b). The same rate of incoming radiation here, emphasizes that if there is a difference in the rate of photosynthesis between young and mature leaves, it is genuinely caused by the age of the leaves.
Leaf age significantly affected the photosynthetic rate of kaffir lime under full sun conditions. The photosynthetic rate on mature kaffir lime leaf had been significantly increased for about 39% compared to the young one (Figure 2c). This finding was in agreement with the common argument that photosynthetic rate lagged behind the expansion of a leaf [50]. Numerous studies reported the lower photosynthetic rate on immature unexpanded young leaves compared to mature ones, namely, lychee [51], mango [50], apple [52], avocado [53], and other fruit crops [54]. Fully developed mature leaves with a dark green color in the exposed canopy was responsible to be the main important source organ that supported the whole plant growth and development [51]. The relationship between photosynthetic rate and leaf age did not always form a linear pattern, because there was proof that showed a logarithmic reduction in the photosynthetic rate up to 50% in older leaves [55]. Aside from leaf age, the citrus photosynthetic rate was also influenced by the nutritional status, i.e., boron (B)-adequate leaves, B-deficient leaves, and B-toxicity leaves display different photosynthetic rates of 15 μmol m−2 s−1, 2 μmol m−2 s−1, and 6 μmol m−2 s−1, respectively [56]. In addition, the variation in foliage photosynthetic rate might also relate to stomatal diffusion conductance of CO2 [48].
Statistical analysis showed no significant difference in stomatal conductance between young and mature kaffir lime leaves, i.e., 0.38–0.39 mol H2O m−2 s−1 (Figure 2d). Stomatal conductance, the opposite of stomatal resistance, was an important variable that displayed the degree of opening of the stomata allowed gas exchange and water release/transpiration. No significant stomatal conductance was followed by a similar result in terms of the transpiration rate. Both young and mature kaffir lime leaves displayed a relatively similar transpiration rate, in the range of 6.58–7.29 mmol H2O m−2 s−1 (Figure 2e). The higher the stomatal conductance, the more the stomata opened, and the greater potential to have high transpiration and photosynthetic rates [57]. Stomatal conductance could be varied in response to genetic and environmental factors. Different citrus species might show different stomata sizes and densities; for example, C. hystrix had bigger stomata and a lower stomata density than C. limon and C. aurantifolia [58]. Environmental stress, such as drought, caused the increase in stomatal closure. Earlier studies have reported that stomatal closure is the first action made to deal with drought stress [59], resulting in a decline in net assimilation [60,61,62].
The present study also highlighted the effect of leaf age on water-use efficiency at the individual leaf level. The actual WUE of the young leaf experiences a significant increase up to 53% when it was getting mature, i.e., 2.08 up to 3.18 μmol CO2 mmol H2O−1 (Figure 3a). This finding is in accordance with a previous study [2] that stated that WUE was positively related to tree age. The variation in WUE is commonly found in response to different species, time measurements, and culture practices. An earlier study [63] reported that the lower leaf water-use efficiency of Carrizo citrange (Citrus sinensis (L.) Osbeck), compared to Cleopatra mandarin (Citrus resnhi Hort. ex Tanaka; Cleo), was caused by different genetic factors. On a daily basis, the WUE was clearly high in the morning, gradually decreasing up to the afternoon [60]. Culture practices such shading [64] and irrigation modification [65,66,67] were reported to gain plant WUE. A reduction in over-optimal irrigation to optimal irrigation, forming a slight water deficit [68], was reported to improve the WUE and citrus yield by 30% and 20%, respectively [2].
It was likely that the mature leaves were also more efficient to use light than the young leaves, i.e., 12.68 and 4.3 μg lux−1, respectively (Figure 3b). There was a triple gain in LUE in mature leaves compared to young ones. The optimal LUE and photosynthetic rate could vary from species to species and also occurred in a specific range of temperature [49]. Although both young and mature leaves were exposed by similar incoming radiation and expressed the same leaf temperature, there is the supposition that young leaves have other limiting factors so that the LUE and photosynthetic rates were difficult to extend. This condition might be associated with the presence of non-stomatal limiting factors, i.e., the limited capacity of chloroplast to absorb CO2 [59]. Therefore, there is a need to analyze the leaf pigment content and its correlation to the leaf assimilation rate for providing some important details.

3.3. Comparative Analysis and Correlation of Leaf Pigmentation

Leaf pigment in the present experiment was statistically different given the effect of leaf maturation. The mature leaf experienced significant improvement in all measured pigments, i.e., chlorophyll-a, chlorophyll-b, chlorophyll-total, carotenoid, and anthocyanin, of about 321%, 285%, 311%, 171%, and 29% respectively, compared to the younger ones (Figure 4). A similar finding was also reported in the coffee leaf maturation process [45,69]. However, both chlorophyll-a and chlorophyll-b were heat and high-temperature sensitive compared to carotenoid [70]. Carotenoid is also a plant pigment essential for fruit coloring [71] and light harvesting during environmental stress [72]. The presence of a high carotenoid content could help the process of heat dissipation of excess excitation energy in the photosystem [73]. Aside from the photo-protection effect, this pigment serves as an antioxidant, phytohormone precursor, and color attractant agent [74]. The relationship of leaf pigment and photosynthetic rate is interesting to further evaluate.
Correlation analysis is a statistical tool to find the strength and direction of relationships among several variables data. Numerous studies have used this tool to reveal the relationship among morphological, ecophysiological, and phytochemical variables of plant [7,8,14,75,76]. The present study used Pearson correlation analysis to reveal the strong, significant, and positive correlation between the photosynthetic rate and all leaf pigment variables, except anthocyanin [Table 1]. The higher leaf chlorophyll-a, chlorophyll-b, chlorophyll total, and carotenoid contents were followed by the higher leaf photosynthetic rate and vice versa. It was likely that the higher content of chlorophyll and carotenoid in mature leaves is the main reason behind the higher photosynthetic rate found in the same leaf. A younger leaf is known to have a lower chlorophyll content, so that less photosynthesis occurs. Additionally, young leaves are more sensitive to heat and excessive light stress due to the lower carotenoid content produced.

4. Conclusions

Comparative analysis revealed the different leaf characters between young and mature leaves on one-year-old kaffir lime trees in open-field conditions. Young leaves experienced a significant improvement in leaf size and leaf photosynthetic rate, actual water-use efficiency, and light-use efficiency, as the leaf matured. Leaf photosynthetic rate displayed a positive and strong correlation with leaf pigment, except anthocyanin. In the future, the uses of the present finding include, but are not limited to, (i) formulating a regression model on leaf physiology and pigmentation; (ii) creating a culture practice recommendation to gain more mature leaves; and (iii) to better understand the science behind leaf maturation, when it could be combined with other studies in genomics, transcriptomics, proteomics, and metabolomics.

Author Contributions

Conceptualization, R.B. and R.P.; methodology, R.B. and E.S.; resources, R.P., A.A. and D.E.; writing—original draft preparation, R.B.; supervision, R.P., D.E., E.S. and A.A.; APC funding acquisition, R.B. All authors have read and agreed to the published version of the manuscript.

Funding

The APC was fully funded by Universitas Padjadjaran, Indonesia.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors thank Nandang Hasanudin for his technical assistance during Li-6400XT measurement and also the Pasir Kuda management team of IPB for field technical assistance.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Moore, G.A. Oranges and lemons: Clues to the taxonomy of Cirus from molecular markers. Trends Genet. 2001, 17, 536–540. [Google Scholar] [CrossRef]
  2. Qin, W.; Assinck, F.B.T.; Heinen, M.; Oenema, O. Water and nitrogen use efficiencies in citrus production: A meta-analysis. Agric. Ecosyst. Environ. 2016, 222, 103–111. [Google Scholar] [CrossRef]
  3. Wu, G.; Terol, J.; Ibanez, V.; Lopez-Garcia, A.; Perez-Roman, E.; Borreda, C.; Domingo, C.; Tadeo, F.R.; Carbonell-Caballero, J.; Alonso, R.; et al. Genomics of the origin and evolution of Citrus. Nature 2018, 554, 311–316. [Google Scholar] [CrossRef]
  4. Budiarto, R.; Pratita, D. Citrus export performances of southeast asian countries: A comparative analysis. Teknotan 2022, 16, 7–12. [Google Scholar] [CrossRef]
  5. Mabberley, D.J. Citrus (Rutaceae): A review of recent advances in etymology, systematics and medical applications. Blumea 2004, 49, 481–498. [Google Scholar] [CrossRef]
  6. Araujo, E.F.D.; Queiroz, L.P.D.; Machado, M.A. What is citrus? taxonomic implications from a study of cp-DNA evolution in the tribe Citreae (Rutaceae subfamily Aurantioideae). Org. Divers. Evol. 2003, 3, 55–62. [Google Scholar] [CrossRef]
  7. Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D.; Agusta, A. Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix). Biodiversitas 2021, 22, 2815–2820. [Google Scholar] [CrossRef]
  8. Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D. Morphological evaluation and determination keys of 21 citrus genotypes at seedling stage. Biodiversitas 2021, 22, 1570–1579. [Google Scholar] [CrossRef]
  9. Wongpornchai, S. Kaffir lime leaf. In Handbook of Herbs and Spices, 2nd ed.; Peter, K.V., Ed.; Woodhead Publishing Limited: Cambridge, UK, 2012. [Google Scholar]
  10. Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D.; Agusta, A. Sensory evaluation of the quality of kaffir lime (Citrus hystrix DC.) leaves exposed to different postharvest treatments. J. Trop. Crop Sci. 2021, 8, 71–79. [Google Scholar] [CrossRef]
  11. Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D.; Agusta, A. Production, post- harvest and marketing of kaffir lime (Citrus hystrix DC) in Tulungagung, Indonesia. J. Trop. Crop Sci. 2019, 6, 138–143. [Google Scholar] [CrossRef]
  12. Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D.; Agusta, A. The effects of preharvest mild shading on the quality and production of essential oil from kaffir lime leaves (Citrus hystrix). J. Trop. Crop Sci. 2022, 9, 15–21. [Google Scholar] [CrossRef]
  13. Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D.; Agusta, A. Preliminary study on antioxidant and antibacterial activity of kaffir lime (Citrus hystrix DC) leaf essential oil. Appl. Res. Sci. Technol. 2021, 1, 58–65. [Google Scholar] [CrossRef]
  14. Efendi, D.; Budiarto, R.; Poerwanto, R.; Santosa, E.; Agusta, A. Relationship among agroclimatic variables, soil and leaves nutrient status with the yield and main composition of kaffir lime (Citrus hystrix DC) leaves essential oil. Metabolites 2021, 11, 260. [Google Scholar] [CrossRef] [PubMed]
  15. Chandharakool, S.; Koomhin, P.; Sinlapasorn, J.; Suanjan, S.; Phungsai, J.; Suttipromma, N.; Songsamoe, S.; Matan, N.; Sattayakhom, A. Effects of tangerine essential oil on brain waves, moods and sleep onset latency. Molecules 2020, 25, 4865. [Google Scholar] [CrossRef] [PubMed]
  16. Eleni, M.; Antonios, M.; George, K.; Alexios-Leandros, S.; Prokopios, M. High-quality bergamot oil from Greece: Chemical analysis using chiral gas chromatography and larvicidal activity against the West Nile virus vector. Molecules 2009, 14, 839–849. [Google Scholar] [CrossRef] [PubMed]
  17. Othman, S.N.A.M.; Hassan, M.A.; Nahar, L.; Basar, N.; Jamil, S.; Sarker, S.D. Essential oils from the Malaysian citrus (Rutaceae) medicinal plants. Medicines 2016, 3, 13. [Google Scholar] [CrossRef] [PubMed]
  18. Song, X.; Liu, T.; Wang, L.; Liu, L.; Li, X.; Wu, X. Antibacterial effects and mechanism of mandarin (Citrus retculata L.) essential oil against Staphylococcus aureus. Molecules 2020, 25, 4956. [Google Scholar] [CrossRef]
  19. De Clerck, C.; Maso, S.D.; Parisi, O.; Dresen, F.; Zhiri, A.; Jijakli, M.H. Screening of antifungal and antibacterial activity of 90 commercial essential oils against 10 pathogens of agronomical importance. Foods 2020, 9, 1418. [Google Scholar] [CrossRef]
  20. Klimek-Szczykutowicz, M.; Szopa, A.; Ekiert, H. Citrus limon (lemon) phenomenon—A review of the chemistry, pharmacological properties, applications in the modern pharmaceutical, food, and cosmetics industries, and biotechnological studies. Plants 2020, 9, 119. [Google Scholar] [CrossRef]
  21. Aliberti, L.; Caputo, L.; Feo, V.D.; Martino, L.D.; Nazzaro, F.; Souza, L.F. Chemical composition and in vitro antimicrobial, cytotoxic and central nervous system activities of the essential oils of Citrus medica L. cv ‘Liscia’ and C. medica cv. ‘Rugosa’ cultivated in Southern Italy. Molecules 2016, 21, 1244. [Google Scholar] [CrossRef]
  22. Yang, C.; Chen, H.; Chen, H.; Zhong, B.; Luo, X.; Chun, J. Antioxidant and anticancer activities of essential oil from Gannan navel orange peel. Molecules 2017, 22, 1391. [Google Scholar] [CrossRef]
  23. Plastina, P.; Apriantini, A.; Meijerink, J.; Witkamp, R.; Gabriele, B.; Fazio, A. In vitro anti-inflammatory and radical scavenging properties of chinotto (Citrus myrtifoloia Raf.) essential oils. Nutrients 2018, 10, 783. [Google Scholar] [CrossRef] [PubMed]
  24. Chen, M.H.; Yang, K.M.; Huang, T.Z.; Wu, M.L. Traditional small-size Citrus from Taiwan: Essential oils, bioactive compounds, and antioxidant capacity. Medicines 2017, 4, 28. [Google Scholar] [CrossRef] [PubMed]
  25. Foley, J.A.; Ramankutty, N.; Brauman, K.A.; Cassidy, E.S.; Gerber, J.S.; Johnston, M.; Mueller, N.D.; O’Connell, C.; Ray, D.K.; West, P.C.; et al. Solutions for a cultivated planet. Nature 2011, 478, 337–342. [Google Scholar] [CrossRef] [PubMed]
  26. Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D. Shoot manipulations improve flushing and flowering of mandarin citrus in Indonesia. J. Appl. Hortic. 2018, 20, 112–118. [Google Scholar] [CrossRef]
  27. Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D.; Agusta, A. Agronomical and physiological characters of kaffir lime (Citrus hystrix DC) seedling under artificial shading and pruning. Emir. J. Food Agric. 2019, 31, 222–230. [Google Scholar] [CrossRef]
  28. Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D. A review of root pruning to regulate citrus growth. J. Trop. Crop Sci. 2019, 6, 1–7. [Google Scholar] [CrossRef]
  29. Wu, X.Y.; Kuai, B.K.; Jia, J.Z.; Jing, H.C. Regulation of leaf senescence and crop genetic improvement. J. Integr. Plant Biol. 2012, 54, 936–952. [Google Scholar] [CrossRef]
  30. Bielczynski, L.W.; Łacki, M.K.; Hoefnagels, I.; Gambin, A.; Croce, R. Leaf and plant age affects photosynthetic performance and photoprotective capacity. Plant Physiol. 2017, 175, 1634–1648. [Google Scholar] [CrossRef]
  31. De Carli, L.F.; Miranda, M.P.; Volpe, H.X.L.; Zanardi, O.Z.; Vizoni, M.C.; Martini, F.M.; Lopes, J.P.A. Leaf age affects the efficacy of insecticides to control Asian citrus psyllid, Diaphorina citri (Hemiptera: Liviidae). J. Appl. Entomol. 2018, 142, 689–695. [Google Scholar] [CrossRef]
  32. Tomaseto, A.F.; Krugner, R.; Lopes, J.R.S. Effect of plant barriers and citrus leaf age on dispersal of Diaphorina citri (Hemiptera: Liviidae). J. Appl. Entomol. 2016, 140, 91–102. [Google Scholar] [CrossRef]
  33. Seo, Y.D.; Kim, D.S. Effects of humidity and citrus leaf age on the multiplication of Aculops pelekassi (Acari: Eriophyoidea) and seasonal population abundances in citrus orchards. Korean J. Appl. Entomol. 2014, 53, 1–6. [Google Scholar] [CrossRef]
  34. Pantin, F.; Simonneau, T.; Muller, B. Coming of leaf age: Control of growth by hydraulics and metabolics during leaf ontogeny. New Phytol. 2012, 196, 349–366. [Google Scholar] [CrossRef] [PubMed]
  35. Pantin, F.; Simonneau, T.; Rolland, G.; Dauzat, M.; Muller, B. Control of leaf expansion: A developmental switch from metabolics to hydraulics. Plant Physiol. 2011, 156, 803–815. [Google Scholar] [CrossRef] [PubMed]
  36. Sims, D.A.; Gamon, J.A. Relationship between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens. Environ. 2002, 81, 337–354. [Google Scholar] [CrossRef]
  37. Weraduwage, S.M.; Chen, J.; Anozie, F.C.; Moreles, A.; Weise, S.E.; Sharkey, T.D. The relationship between leaf area growth and biomass accumulation in Arabidopsis thaliana. Front. Plant Sci. 2015, 6, 167. [Google Scholar] [CrossRef] [PubMed]
  38. Lakitan, B.; Widuri, L.I.; Meihana, M. Simplifying procedure for a non- destructive, inexpensive, yet accurate trifoliate leaf area estimation in snap bean (Phaseolus vulgaris). J. Appl. Hortic. 2017, 19, 15–21. [Google Scholar] [CrossRef]
  39. Nihayati, E.; Rosida, A.; Azizah, N. Growth and yield of temulawak (Curcuma xanthorizha Roxb.) and corn (Zea mays L.) with various intercropping patterns. Int. J. Plant Biol. 2018, 9, 9–14. [Google Scholar] [CrossRef]
  40. Hamdani, J.S.; Tunniza, A.Z.; Nuraini, A.; Budiarto, R. Production of G0 ‘Median’ potato on different media composition and fertilizer method. Asian J. Plant Sci. 2022, 21, 312–320. [Google Scholar] [CrossRef]
  41. Efendi, D.; Budiarto, R. Benefit and challenges of using tropical fruits as ornamental trees for green city. Acta Hortic. 2022, 1334, 369–377. [Google Scholar] [CrossRef]
  42. Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D. The potentials of limau (Citrus amblycarpa) as a functional food and ornamental mini tree based on metabolomic and morphological approach. J. Trop. Crop Sci. 2017, 4, 49–57. [Google Scholar] [CrossRef]
  43. Salazar, J.C.S.; Melgarejo, L.M.; Bautista, E.H.D.; Rienzoc, J.A.D.; Casanoves, F. Non-destructive estimation of the leaf weight and leaf area in cacao (Theobroma cacao L.). Sci. Hortic. 2018, 229, 19–24. [Google Scholar] [CrossRef]
  44. Bhakta, D.; Ganjewala, D. Effect of leaf positions on total phenolics, flavonoids and proanthocyanidins content and antioxidant activities in Lantana camara (L). J. Sci. Res. 2009, 1, 363–369. [Google Scholar] [CrossRef]
  45. Maxiselly, Y.; Anusornwanit, P.; Rugkong, A.; Chiarawipa, R.; Chanjula, P. Morpho-physiological traits, phytochemical composition, and antioxidant activity of canephora coffee leaves at various stages. Int. J. Plant Biol. 2022, 13, 106–114. [Google Scholar] [CrossRef]
  46. Campa, C.; Urban, L.; Mondolot, L.; Fabre, D.; Roques, S.; Lizzi, Y.; Aarrouf, J.; Doulbeau, S.; Breitler, J.C.; Letrez, C.; et al. Juvenile coffee leaves acclimated to low light are unable to cope with a moderate light increase. Front. Plant Sci. 2017, 8, 1126. [Google Scholar] [CrossRef]
  47. Prihastanti, E.; Nurchayati, Y. Differences in leaf area, trichome density, and xylem structure between the two types of Theobroma cacao l. cultivation: With or without shade plants. Int. J. Plant Biol. 2020, 11, 28–31. [Google Scholar] [CrossRef]
  48. Niinemets, U.; Keenan, T.F.; Hallik, L. A worldwide analysis of within-canopy variations in leaf structural, chemical andphysiological traits across plant functional types. New Phytol. 2015, 205, 973–993. [Google Scholar] [CrossRef]
  49. Ribeiro, R.V.; Machado, E.C. Some aspects of citrus ecophysiology in subtropical climates: Re-visiting photosynthesis under natural conditions. Braz. J. Plant Physiol. 2007, 19, 393–411. [Google Scholar] [CrossRef]
  50. Nii, N.; Watanabe, N.T.; Yamaguchi, K.; Nishimura, M. Changes of anatomical features, photosynthesis and ribulose bisphosphate carboxylase-oxygenase content of mango leaves. Ann. Bot. 1995, 76, 649–656. [Google Scholar] [CrossRef]
  51. Hieke, S.; Menzel, C.M.; Ludders, P. Effects of leaf, shoot and fruit development on photosynthesis of lychee trees (Litchi chinensis). Tree Physiol. 2002, 22, 955–961. [Google Scholar] [CrossRef]
  52. Kennedy, R.A.; Johnson, D. Changes in photosynthetic characteristic during leaf development in apple. Photosynth. Res. 1981, 2, 213–223. [Google Scholar] [CrossRef]
  53. Schaffer, B.; Whiley, A.W.; Kholi, R.R. Effects of leaf age on gas exchange characteristics of avocado (Persea americana Mill.). Sci. Hortic. 1991, 48, 21–28. [Google Scholar] [CrossRef]
  54. Flore, J.A.; Lakso, A.N. Environmental and physiological regulation of photosynthesis in fruit crops. Hortic. Rev. 1989, 11, 111–157. [Google Scholar]
  55. Bauerle, W.L.; McCullough, C.; Iversen, M.; Hazlett, M. Leaf age and position effects on quantum yield and photosynthetic capacity in hemp crowns. Plants 2020, 9, 271. [Google Scholar] [CrossRef] [PubMed]
  56. Yang, L.T.; Pan, J.F.; Hu, N.J.; Chen, H.H.; Jiang, H.X.; Lu, Y.B.; Chen, L.S. Citrus physiological and molecular response to boron stresses. Plants 2022, 11, 40. [Google Scholar] [CrossRef] [PubMed]
  57. Gimenez, C.; Gallardo, M.; Thompson, R.B. Plant–Water Relations. In Reference Module in Earth Systems and Environmental Sciences; Elsevier: Amsterdam, The Netherlands, 2013; pp. 1–8. [Google Scholar] [CrossRef]
  58. Sofiyanti, N.; Wahyuni, P.I.; Iriani, D. Stomatal characteristics of 5 Citrus L. species (Rutaceae) from Pekanbaru, Riau Province. J. Biol. Trop. 2022, 22, 173–178. [Google Scholar] [CrossRef]
  59. Yordanov, I.; Tsonev, T.; Velikova, V.; Georgieva, K.; Ivanov, P.; Tsenov, N.; Petrova, T. Changes in CO2 assimilation, transpiration and stomatal resistance of different wheat cultivars experiencing drought under field conditions. Bulg. J. Plant Physiol. 2001, 27, 20–33. [Google Scholar]
  60. Roccuzzo, G.; Villalobos, F.J.; Testu, L.; Fereres, E. Effects of water deficits on whole tree water use efficiency of orange. Agric. Water Manag. 2014, 140, 61–68. [Google Scholar] [CrossRef]
  61. Pena-Rojas, K.; Aranda, X.; Fleck, I. Stomatal limitation to CO2 assimilation and down-regulation of photosynthesis in Quercus ilex resprouts in response to slowly imposed drought. Tree Physiol. 2004, 24, 813–822. [Google Scholar] [CrossRef]
  62. Lawlor, D.W.; Cornic, G. Photosynthetic carbon assimilation and associated metabolism in relation to water deficits in higher plants. Plant Cell Environ. 2002, 25, 275–294. [Google Scholar] [CrossRef]
  63. Garcia-Sanchez, F.; Syvertsen, J.P.; Gimeno, V.; Botia, P.; Perez-perez, J.G. Responses to flooding and drought stress by two citrus rootstock seedlings with different water-use efficiency. Physiol. Plant. 2007, 130, 532–542. [Google Scholar] [CrossRef]
  64. Gimeno, V.; Simón, I.; Martínez, V.; Lidón, V.; Shahid, M.A.; Garcia-Sanchez, F. Effect of shade screen on production, fruit quality and growth parameters of ‘Fino 49′ lemon trees grafted on Citrus macrophylla and sour orange. Acta Hortic. 2015, 1065, 1845–1852. [Google Scholar] [CrossRef]
  65. Raza, A.; Zaka, M.A.; Khurshid, T.; Nawaz, M.A.; Ahmed, W.; Afzal, M.B.S. Different irrigation systems affect the yield and water use efficiency of kinnow mandarin (Citrus reticulata Blanco). J. Anim. Plant Sci. 2020, 30, 1178–1186. [Google Scholar] [CrossRef]
  66. Tejero, I.G.; Zuazo, V.H.D.; Bocanegra, J.A.J.; Fernandez, J.L.M. Improved water-use efficiency by deficit-irrigation programmes: Implications for saving water in citrus orchards. Sci. Hortic. 2011, 128, 274–282. [Google Scholar] [CrossRef]
  67. Hutton, R.J.; Loveys, B.R. A partial root zone drying irrigation strategy for citrus—Effects on water use efficiency and fruit characteristics. Agric. Water Manag. 2011, 98, 1485–1496. [Google Scholar] [CrossRef]
  68. Zhang, X.; Fan, Y.; Jia, Y.; Cui, N.; Zhao, L.; Hu, X.; Gong, D. Effect of water deficit on photosynthetic characteristics, yield and water use efficiency in Shiranui citrus under drip irrigation. Nongye Gongcheng Xuebao/Trans. Chin. Soc Agric Eng. 2018, 34, 143–150. [Google Scholar] [CrossRef]
  69. Acidri, R.; Sawai, Y.; Sugimoto, Y.; Handa, T.; Sasagawa, D.; Masunaga, T.; Yamamoto, S.; Nishihara, E. Phytochemical profile and antioxidant capacity of coffee plant organs compared to green and roasted coffee beans. Antioxidants 2020, 9, 93. [Google Scholar] [CrossRef]
  70. Netto, A.T.; Campostrini, E.; de Oliveira, J.G.; Bressan-Smith, R. Photosynthetic pigments, nitrogen, chlorophyll a fluorescence and SPAD-502 readings in coffee leaves. Sci. Hortic. 2005, 104, 199–209. [Google Scholar] [CrossRef]
  71. Efendi, D.; Sumiasih, I.H.; Budiarto, R.; Poerwanto, R.; Agusta, A.; Yuliani, S. Orange color formation and pigment variation on tropical tangerine peel by precooling and degreening. Asian J. Plant Sci. 2022, 21, 56–65. [Google Scholar] [CrossRef]
  72. Shah, S.H.; Houborg, R.; McCabe, M.F. Response of chlorophyll, carotenoid and SPAD-502 measurement to salinity and nutrient stress in wheat (Triticum aestivum L.). Agronomy 2017, 7, 61. [Google Scholar] [CrossRef]
  73. Ait Bihi, M.; Ain-Lhout, F.; Hatimi, A.; Fahmi, F.; Tahrouch, S. Ecophysiological response and morphological adjustment of Argania spinosa L. Skeels under contrasting climates: Case study of marginal populations. Int. J. Plant Biol. 2022, 12, 9404. [Google Scholar] [CrossRef]
  74. Maoka, T. Carotenoids as natural functional pigments. J. Nat. Med. 2020, 74, 1–16. [Google Scholar] [CrossRef] [PubMed]
  75. Suminar, E.; Budiarto, R.; Nuraini, N.; Mubarok, S.; Ezura, H. Morpho-physiological responses of iaa9 tomato mutants to different levels of PEG simulated drought stress. Biodiversitas 2022, 6, 3115–3126. [Google Scholar] [CrossRef]
  76. Mubarok, S.; Wicaksono, F.Y.; Budiarto, R.; Rahmat, B.P.N.; Khoerunnisa, S.A. Metabolite correlation with antioxidant activity in different fruit maturation stages of Physalis peruviana. Biodiversitas 2021, 22, 2743–2749. [Google Scholar] [CrossRef]
Figure 1. Comparative analysis of the size of young and mature kaffir lime leaf; namely, leaf weight (a), leaf area (b), and leaf length (c). Different letters inside the rectangular bar indicate a significant difference based on the LSD test at α 5%; the error bar represents the standard deviation.
Figure 1. Comparative analysis of the size of young and mature kaffir lime leaf; namely, leaf weight (a), leaf area (b), and leaf length (c). Different letters inside the rectangular bar indicate a significant difference based on the LSD test at α 5%; the error bar represents the standard deviation.
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Figure 2. Comparative analysis of the ecophysiological characters of young and mature kaffir lime leaves; namely, leaf temperature (a), incoming radiation (b), photosynthetic rate (c), stomatal conductance (d), and transpiration rate (e). Different letters inside the rectangular bar indicate a significant difference based on the LSD test at α 5%; the error bar represents the standard deviation.
Figure 2. Comparative analysis of the ecophysiological characters of young and mature kaffir lime leaves; namely, leaf temperature (a), incoming radiation (b), photosynthetic rate (c), stomatal conductance (d), and transpiration rate (e). Different letters inside the rectangular bar indicate a significant difference based on the LSD test at α 5%; the error bar represents the standard deviation.
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Figure 3. Comparative analysis of the actual water (a) and light-use efficiency (b) of young and mature kaffir lime leaves. Different letters inside the rectangular bar indicate a significant difference based on the LSD test at α 5%; the error bar represents the standard deviation.
Figure 3. Comparative analysis of the actual water (a) and light-use efficiency (b) of young and mature kaffir lime leaves. Different letters inside the rectangular bar indicate a significant difference based on the LSD test at α 5%; the error bar represents the standard deviation.
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Figure 4. Comparative analysis of the pigment content of young and mature kaffir lime leaves; namely, chlorophyll-a (a), chlorophyll-b (b), chlorophyll total (c), carotenoid (d) and anthocyanin (e). Different letters inside the rectangular bar indicate a significant difference based on the LSD test at α 5%; the error bar represents the standard deviation. Leaf pigment is expressed per unit leaf fresh weight (FW).
Figure 4. Comparative analysis of the pigment content of young and mature kaffir lime leaves; namely, chlorophyll-a (a), chlorophyll-b (b), chlorophyll total (c), carotenoid (d) and anthocyanin (e). Different letters inside the rectangular bar indicate a significant difference based on the LSD test at α 5%; the error bar represents the standard deviation. Leaf pigment is expressed per unit leaf fresh weight (FW).
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Table 1. Pearson correlations among the leaf pigments and photosynthetic rate of kaffir lime.
Table 1. Pearson correlations among the leaf pigments and photosynthetic rate of kaffir lime.
VariableChl-aChl-bAntCarChl-t
Chl-b0.9992 *
Ant0.54960.5744
Car0.9927 *0.9939 *0.6343
Chl-t0.9999 *0.9996 *0.55610.9932 *
Photo0.8777 *0.883 *0.65690.8946 *0.8792 *
Note: Chl-a—Chlorophyll-a (mg per g FW), Chl-b—Chlorophyll-b (mg per g FW), Ant—Anthocyanin (mg per g FW), Car—Carotenoid (mg per g FW), Chl-t—Chlorophyll total (mg per g FW), Photo—Photosynthetic rate (μmol CO2 m−2 s−1). *—significantly correlated at 99% confidence level.
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MDPI and ACS Style

Budiarto, R.; Poerwanto, R.; Santosa, E.; Efendi, D.; Agusta, A. Comparative and Correlation Analysis of Young and Mature Kaffir Lime (Citrus hystrix DC) Leaf Characteristics. Int. J. Plant Biol. 2022, 13, 270-280. https://doi.org/10.3390/ijpb13030023

AMA Style

Budiarto R, Poerwanto R, Santosa E, Efendi D, Agusta A. Comparative and Correlation Analysis of Young and Mature Kaffir Lime (Citrus hystrix DC) Leaf Characteristics. International Journal of Plant Biology. 2022; 13(3):270-280. https://doi.org/10.3390/ijpb13030023

Chicago/Turabian Style

Budiarto, Rahmat, Roedhy Poerwanto, Edi Santosa, Darda Efendi, and Andria Agusta. 2022. "Comparative and Correlation Analysis of Young and Mature Kaffir Lime (Citrus hystrix DC) Leaf Characteristics" International Journal of Plant Biology 13, no. 3: 270-280. https://doi.org/10.3390/ijpb13030023

APA Style

Budiarto, R., Poerwanto, R., Santosa, E., Efendi, D., & Agusta, A. (2022). Comparative and Correlation Analysis of Young and Mature Kaffir Lime (Citrus hystrix DC) Leaf Characteristics. International Journal of Plant Biology, 13(3), 270-280. https://doi.org/10.3390/ijpb13030023

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