Next Article in Journal
Local Sparse Principal Component Analysis for Exploring the Spatial Distribution of Social Infrastructure
Next Article in Special Issue
Depth of Edge Influence in a Madagascar Lowland Rainforest and Its Effects on Lemurs’ Abundance
Previous Article in Journal
Social Dimensions of Spatial Justice in the Use of the Public Transport System in Thessaloniki, Greece
Previous Article in Special Issue
Balancing Rare Species Conservation with Extractive Industries
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Climatic and Altitudinal Variation in Physicochemical Properties of Citrus sinensis in India

1
Department of Horticulture, H.N.B. Garhwal University, Srinagar Garhwal 246 174, Uttarakhand, India
2
Department of Horticulture, Govt. Degree College, Rudraprayag 246 171, Uttarakhand, India
3
Department of Rural Technology, H.N.B. Garhwal University, Srinagar Garhwal 246 174, Uttarakhand, India
4
Department of Forestry, College of Forestry, V.C.S.G. Uttarakhand University of Horticulture and Forestry, Tehri Garhwal 249 199, Uttarakhand, India
5
Department of Basic Sciences, College of Forestry, V.C.S.G. Uttarakhand University of Horticulture and Forestry, Tehri Garhwal 249 199, Uttarakhand, India
6
National Coordinator, National Agriculture Higher Education Project (NAHEP), Krishi Anusandhan Bhawan-II, Pusa Campus, New Delhi 110 012, NCT, India
7
GeoBioTec Research Centre, Department of Geosciences, University of Aveiro, 3810-193 Aveiro, Portugal
8
Department of Forestry and Natural Resources, H.N.B. Garhwal University, Srinagar Garhwal 246 174, Uttarakhand, India
*
Author to whom correspondence should be addressed.
Land 2022, 11(11), 2033; https://doi.org/10.3390/land11112033
Submission received: 11 September 2022 / Revised: 8 November 2022 / Accepted: 8 November 2022 / Published: 13 November 2022
(This article belongs to the Special Issue Species Vulnerability and Habitat Loss)

Abstract

:
C. sinensis (L.) Osbeck is grown in large-scale, in-home gardens of traditional agroforestry systems in the Garhwal Himalaya. The present investigation of C. sinensis was conducted on the basis of twenty-six populations in different home gardens located in different geographical variables. The aim was to understand variations in physicochemical properties, viz., fruit weight, fruit length, fruit width, peel thickness, peel weight, juice sacks, juice weight, seeds/fruits, rudimentary seeds/fruits, seed weight, total soluble solids, citric acid, ascorbic acid and sugar content. The results of the study revealed that the physicochemical properties of C. sinensis were significantly varied among the populations. The fruit weight was the most variable among the morphological characteristics, and vitamin C among the nutritive parameters. The average fruit weight varied from 96.64 to 296.86 g/fruit. The other study traits were found to oscillate between 7.73 and 12.76 °Brix (total soluble solids); 3.04 and 5.96% (citric acid); 31.45 and 86.45 mg/g−1 (vitamin C) and 4.65 and 9.27% soluble sugar. Geographical variables (altitude, latitude and longitude, temperature and rainfall) have influenced the physicochemical parameters of C. sinensis significantly. Amongst the physicochemical properties, fruit weight and vitamin C were the most variable parameters and could be used for the improvement of C. sinensis. These variations in the C. sinensis population have enabled great advances in better understanding the variability in the physicochemical properties of fruit and response to biotic and abiotic stresses.

1. Introduction

Fruits play a very significant role in nutritional security, generation of employment and the overall economic growth of the country. The importance of fruits is primarily considered in the context of energy and nutritive value. Fruits are a suitable diet for people of all age groups. They are a good source of dietary fiber, and fiber intake reduces the risk of cardiovascular disease and obesity. Fruits are consumed raw or processed and provide vitamins, minerals and different phytochemicals, which are a rich source of antioxidants, phytoestrogens, and anti-inflammatory agents. [1]
In fruit production, India ranks second after China, sharing about 12% of the world’s fruit production. Five fruits (banana, mango, citrus, papaya and guava) comprise more than 75% of the total fruit production in India [2]. Fruit has various natures and multifold nutritional and medicinal values. It is primarily valued for being either eaten alone as fresh fruit or processed into juice, or added to dishes and beverages (lemon, lime etc.). C. sinensis fruits have a prominent place among the popular and intensively grown and possess wider adaptability to different agro-climatic conditions. They grow equally in tropical and sub-tropical regions, including some favorable parts of the temperate regions of the world [2].
India is the fourth largest C. sinensis-producing country in the world, contributing 6.0% of the world’s total production [3], and in terms of cultivation area, C. sinensis is the third largest fruit industry after banana and mango. Over the last 30 years, the area and production of Citrus has increased at the rate of 11% and 9%, respectively, which indicated the expansion of the C. sinensis-based industry.
In India, citrus fruits are primarily grown in Maharashtra, Andhra Pradesh, Punjab, Karnataka, Uttarakhand and Bihar. The total area of sweet orange cultivation in India is 187 thousand hectares with a production of 3266 thousand MT during the period 2018–2019 [2]. C. sinensis L. (locally known as Malta) belongs to the family Rutaceae and is grown successfully in home gardens and bunds of agricultural fields in the Garhwal Himalaya, Uttarakhand, India. C. sinensis is generally grown from seeds and planted in home gardens. Home gardens in the Garhwal Himalaya have been used from time immemorial and are rich sources of biodiversity conservation. In home gardens, local farmers usually grow multi-storied cropping patterns on small pieces of land for the fulfillment of their daily needs, i.e., fruits, vegetables and spaces, etc. A study was conducted to evaluate the home gardens of the Garhwal Himalaya region and reported a total of 46 species in home gardens. Amongst the 46 species, 27 were agricultural crops and 15 were fruit crops and multipurpose trees. The density of C. sinensis was reported to be 106–313 trees/ha with other associated tree species such as Grewia optiva, Citrus limon, etc. [4].
Amongst the different citrus species grown in the different agroclimatic zones of tropical to temperate regions of the Garhwal Himalaya, Uttarakhand, C. sinensis was the dominant with the highest production. Due to its sweet–sour taste, charming flavor and refreshing juice, it is consumed fresh [5].
C. sinensis fruit is consumed within a short period of time due to its perishability. The fruit is harvested in the winter season [6] and is used to make different value-added products, i.e., juice, jam, jelly, squash and candy. Therefore, with multiple outcome products, Citrus is considered a cash crop [7]. Regarding total soluble solids (10oBx), one hundred grams of C. sinensis ready-to-serve (RTS) fruit contains 88.4 g water, 0.6 g protein, 10.5 g carbohydrates, 0.12 g fibers, 0.3 g ash and has 0.41% acidity [8]. Its peel is used to extract the essential oil which has great therapeutic and various cosmetic values. Ukaoma et al. [9] reported that the fruit peel of C. sinensis can be used to produce bio-fuel which is ecologically as well as economically suitable and provides employment opportunities for local people. Due to its uses and health benefits, the state agriculture and watershed divisions of Uttarakhand make offers and promote local marginal farming for C. sinensis growth on slope areas under the horticulture development program [10], but the management practices are improper and losing their production [11].
Home gardens usually grow a variety of species in small areas such as Grewia optiva, Celtis australis, Pyrus pashia, Artrocarpus heterophyllus, Mangifera indica, Psidium guajava, Juglans regia, Morus alba, Ficus spp. and Quercus leucotrichophora, etc., including C. sinensis. Vegetables such as onion, chilies, brinjal, cauliflower, cucumber, potato, leafy vegetables and spices are also grown. Agricultural crops such as wheat, rice, plus, millets and various self-grown grasses are common. Due to the variety of species in home gardens, they provide diverse and multiple services for the households as compared to a monocropping system. However, with a change in altitude, the combination of species changes because of the physical environment, ecological characteristics, socioeconomic and cultural factors [12]. Home gardens play an important role in in situ conservation of genetic resources [13,14].
In home gardens of the Garhwal Himalayan region, different Citrus species are grown, e.g., C. limon (lemon), C. maxima (limon, locally called Chakotara), C. nobilis (orange or narangi), C. pseudoliomon (galgal), and C. reticulata (santara), including C. sinensis, the fruit of the present study. Amongst these, C. sinensis has the most area under cultivation. C. sinensis grows in wide altitudinal ranges from 800 to 2000 m asl in the Western Himalaya. With increasing altitude, the climatic conditions, i.e., rainfall and temperature also varied. The hypothesis of the present study was that climatic and altitude influences the physicochemical properties of C. sinensis. To understand the hypothesis, the present study was carried out with the objective to determine the effect of climate in altitude on physicochemical properties of C. sinensis in Uttarakhand.

2. Materials and Methods

The soils in this area are usually porous and contain a large amount of gravel. The soils are generally shallow, gravely and brown and dark grey in color, and are moderately acidic to neutral in reaction. Due to rapid water percolation in the soil, its profile has reduced nutrients and the moisture retention capacity results in low soil fertility.
The present study was carried out on C. sinensis fruits collected from home gardens (farmer’s field) from the districts of Garhwal Himalayan region of Uttarakhand (Scheme 1), during the months of December–January (Figure 1A–E). Mature and ripe fruits of C. sinensis were collected randomly from 10 healthy trees from home gardens in the selected sites (Table 1). Healthy plants of C. sinensis were selected 100–300 m apart to avoid narrowing down the variation due to relatedness or inbreeding [15].
From all study sites, 1000 mature fruits of C. sinensis were randomly harvested (100 from each tree). The collected fruits were taken in cotton bags, an accession number was allotted (fruit growing sites) and they were brought to the laboratory in the Department of Horticulture, H.N.B. Garhwal University, Srinagar Garhwal for analysis and stored in a cool place. From each place, 100 fruits were selected randomly to measure the fruit length and width, and peel thickness and weight (five replicates with 20 fruit each) from each source, recorded with the help of a digital vernier caliper. The length was taken from the apex to the stem end. For each site, 700 fruits (seven replicates each of a hundred fruits) were randomly selected for measuring the fruit weight using the electronic top loading balance for getting an accurate reading as per ISTA [16]. The number of juice sacks, healthy and rudimentary seed and total seed per fruit (five replicated 20 each) were counted manually and the average was calculated from each source.
Fruit juice was extracted and various methods were applied for estimation of soluble sugars by McCready et al. [17]; the acidity of fruits was estimated by titrating the fruit juice [18]; ascorbic acid was estimated by using 2,6-Dichlorophenol indophenol (DCPIP) visual titration method [19], and the total soluble solids were determined by using a refractometer. The data were analyzed according to the procedure of analysis of randomized block design. The significant variation among the population was observed by applying analysis of variance (ANOVA), the critical difference (C.D.) test at the 5% probability level and the Pearson correlation coefficient was estimated by using the statistical software package and WASP 1 -Web Agri Stat Package IGAR Goa, and p-value for Pearson correlation was corrected with Bonferroni correction. JMP statistical software pro 14.0.0 was used for multivariate analysis of variance.

3. Results

The minimum fruit length and fruit breadth (5.63 and 5.83 cm) were recorded in the Satpuli population and the maximum (8.16 cm and 8.36 cm) fruit length and breadth in the Bhatgaon population. The average fruit length and breadth was reported as 6.66 and 6.83 cm, respectively, irrespective of population. Regarding fruit weight, the minimum (96.64 g/fruit) was observed in Satpuli and the maximum (296.86 g/fruit) in the Bhatgaon population, with a mean fruit weight of 164.62 g/fruit, irrespective of population. The minimum peel thickness (0.4 cm) was recorded in the Ukhimath population and the maximum (0.76 cm) in the Bhatgaon population, while the lowest peel weight (33.54 g/fruit) was observed in the Satpuli population and the highest (94.75 g/fruit) in the Bhatgaon population. On average, the peel thickness and peel weight reported were 0.55 and 53.63 g/fruit, respectively. The minimum juice sacks per fruit recorded (8.66) was in the Gumalgaon and Kafald populations, whereas the maximum (11.66) was in the Durgadhar population, with average juice sacks per fruit being 52.15. The average weight of juice was 62.07 g/fruit. The lowest number of seeds per fruit (11.47) was observed in the Durgadhar population, while the highest (24.24) was in the Satpuli population with an average seeds/fruit of 18.82. However, in the Gwaldam population, rudimentary seeds/fruit were not observed, but the maximum (17.47) rudimentary seeds were recorded in Kirada. The average rudimentary seeds/fruit recorded was 7.42. The minimum seed weight per fruit recorded (1.28 g/fruit) was in the Guptkashi population and the maximum (4.52 g/fruit) in the Pauri population (Table 2). The average seed weight/fruit was 2.82 g, irrespective of population.
On average, irrespective of population, total soluble solids reported were 10.10%, citric acid was 4.13%, ascorbic acid 54.77 mg/100 mL, and soluble sugar contents were 6.34 %. The lowest total soluble solids recorded (7.73 %) were in the Kirada population and the highest (12.76%) in the Ukhimath population. The minimum citric acid (3.20%) was observed in the Soni population while the maximum (6.68%) was in the Gwaldam population. Amongst the populations, the lowest ascorbic acid contents (31.45 mg/100 mL) were recorded in Bhatgaon and the highest (86.45 mg/100 mL) in the Ukhimath population. Similarly, the minimum soluble sugar contents (4.65%) were recorded in Ukhimathand the maximum (9.27%) in the Bhatgaon population (Table 3).
There was significant (p < 0.01) effect of fruit weight on fruit length, fruit width, peel thickness, juice weight and seed weight. Whereas; significant (p < 0.005) effects on the total soluble solid and citric acid (Table 4).
Altitude was significantly related to fruit length and inversely correlated with rudimentary seeds/fruit of C. sinensis. Latitude showed a significant positive correlation with fruit weight, fruit length and fruit width. The number of seeds/fruit and rudimentary seeds/fruit was revealed to be positively and significantly (p < 0.01) correlated with longitude. Rainfall was significantly negatively correlated with rudimentary seeds. Temperature had a significant positive correlation with fruit length, fruit width and rudimentary seeds (Table 5). Physicochemical characteristics exhibited significant variations among the populations (Table 6).

4. Discussion

The results of the present investigation reveal significant differences among the populations for physicochemical properties of C. sinensis fruits. In general, the composition of nutrients, i.e., sugar, acids, vitamins, minerals, and other parameters such as aroma, fiber, texture, and flavor are essential components for the determination of fruit quality. Plant genotypes, growing conditions, maturity and time of harvesting significantly influenced the parameters of these fruits [20,21]. C. sinensis fruits were collected from a wide range of altitudinal sites for the estimation of physicochemical characters. Thus, physicochemical properties of C. sinensis fruits were influenced by the geography (altitude, latitude, longitude, rainfall and temperature) of the growing area. The variation in geography directly corresponded with the climactic factors of the area such as temperature, rainfall, humidity, sunshine, phasing of sites/slopes, air currents, nutritional status of soil, moisture condition of soil, and pH of soil of the area, always with a chance of variations in these quality parameters of fruits being influenced or produced by a new genotype. The climatic factor also inhibits the normal crop load and vigor of the plants, which directly influences the morphological and nutrients contents of the fruits [22]. Variation in different physicochemical characters were also reported in Pyrus germplasms [23], Rubus idoeus, R. discolor [24], Psidium guajava [21], Mangifera indica [25], Citrus macroptera [26], Choerospondies axillaries [27], Citrus sinensis [28], Citrus aurantiifolia, C. limon and C. pseudolimon [29], Mangifera indica [30], Phyllanthus emblica [31] Ziziphus jujube [32], Vaccinium myrtillus [33].
The correlation coefficient matrix between fruit morphology of C. sinensis shows that fruit weight had a significant positive correlation with fruit width, peel thickness, peel thickness weight, and juice weight. These results are in agreement with the study in which a significant correlation coefficient was reported between fruit weight with other morphological traits of fruits in Ziziphus nummularia, Ziziphus spina-christi and Ziziphus oxyphylla [34], Prunus cerasus [35] and Elaeagnus angustifolia [36]. Significant correlations between morphometric characters which influenced the yield and quality of fruits should be important for a breeding program of any valuable fruit species [35]. It is necessary to undertake an evaluation of valuable species [36].
Physical parameters in pomegranate fruits had significant variation among the locations of collection sites [37]. Ali et al. [38] determined the effects of altitude on walnut fruit quality and found that fruit quality is influenced by altitude. The results of the present study reveal that altitude significantly influenced fruit length and peel thickness and rudimentary seeds significantly decrease as altitude increases. Out of fourteen physicochemical parameters in C. sinensis, nine parameters were significantly correlated with geographical variables (altitude, latitude, longitude, rainfall and temperature). Among these geographical variables, temperature and rainfall were the important factors which greatly influenced the physicochemical properties of C. sinensis. Physicochemical parameters showed a positive significant correlation with fruit length and an inverse significant relationship between peel thickness and rudimentary seeds depending on altitude. Latitude was positively significantly correlated with fruit weight, fruit length and fruit breadth, indicating a northern trend. The longitude exhibited a positive correlation between the number of seeds/fruit and rudimentary seeds/fruit, indicating that this trait increases towards eastern extremes. The inverse correlation of longitude with total soluble solids indicates that these traits increase towards the western extremes. Rainfall significantly decreased the peel thickness, rudimentary seeds and soluble sugar while increasing the total soluble solids and ascorbic acid. Temperature significantly increased the fruit length, fruit width, peel thickness, number of seeds and rudimentary seeds while decreasing the total soluble solids and ascorbic acid. Morphological and chemical variation in Phyllanthus emblica fruit were also studied [39] and Phyllanthus emblica fruits from different growing sites are reported to have morphological and chemical variation.
Ahmed et al. [23] suggest that variability accounting for fruit quality is due to either genotypes or environmental conditions prevailing in the growing areas or interaction of both factors. Shiraishi et al. [40] also report that changes in the locality (site), topography, and environment influence the pheno-physiological parameters such as bud burst, berry growth and development, berry size, numbers of berries per bunch, time of maturity and ripening and biochemistry; soluble sugar contents, titrable acidity, sugars, amino acids, organic acids, phenolic compounds, and total antioxidants varied significantly in table grape varieties. The variability in fruit quality of C. sinensis may be due to similar interactions. These results were also in line with the findings of Candiret et al. [41] on persimmon fruits. Thakur et al. [37] assume that the variations in total soluble solids of pomegranate fruits in different locations may be due to localized conditions. Almanza et al. [42] carried out work on this characteristic of ‘Pinot Noir’ grapevine fruit. Among the physicochemical characteristics of fruits, no specific trend was observed at any particular location. That means no single parameter was found to be dominant in multiple locations. It was assumed that the variations in various physicochemical characteristics of fruits in different locations may be due to localized conditions.

5. Conclusions

The morphometric parameters and nutrient contents of C. sinensis were significantly varied among the different populations in the Garhwal Himalaya. These estimated variations in morphometric character of C. sinensis also could be useful for a future breeding program for improving this valuable fruit species in the hill region of Uttarakhand, India. The high nutrient contents in this potential species, particularly the rich source of vitamin C, need to be conserved to enhance the immunity of the human body in present scenarios such as COVID-19. The low temperature and high rainfall areas were found suitable for the cultivation of C. sinensis quality fruits. Further studies related to genetic variability, selflife, storage life, and processing technology should be conducted to estimate the variation, long-term storage and value addition in C. sinensis in the Garhwal Himalaya region. The fruit’s mature time is the winter season in hilly areas; this does not provide proper market value for the grower cultivating; thus, proper storage and transport facilities should be enhanced to maximize the benefit for marginal farmers to cultivate the C. sinensis in home gardens, agroforestry systems and sloped lands.

Author Contributions

Conceptualization, J.A., J.S.R. and B.S., methodology, J.A., J.S.R. and B.S.; software, M.K.R. and B.S.; validation, J.A., J.S.R. and V.R.; formal analysis and investigation, J.A.; resources J.A. and J.S.R.; data curation, J.A.; writing—original draft preparation, J.A., V.R. and J.S.R.; writing—review and editing, B.S., V.P.K., P.K. and M.K.; visualization, J.S.R.; supervision, J.S.R.; funding acquisition, P.K., M.K. and M.M.S.C.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data generated or analyzed during this study are included in this submitted article.

Acknowledgments

First and second authors are thankful to late Y. K. Tomar for thier guidance and contribution in this work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Slavin, J.L.; Lloyd, B. Health benefits of fruits and vegetables. Adv. Nutr. (Bethesda Md.) 2012, 3, 506–516. [Google Scholar] [CrossRef] [Green Version]
  2. Anonymous. Horticulture Statistics at a Glance; Horticulture Statistical Division, Department of Agriculture Cooperation & Farmers Welfare, Government of India New Delhi: New Delhi, India, 2018; p. 490.
  3. Inglese, P.; Sortino, G. Citrus history, taxonomy, breeding, and fruit quality. In Agriculture and the Environment; Oxford Research Encyclopedia of Environmental Science: Oxford, UK, 2019; pp. 1–22. [Google Scholar]
  4. Goswami, S.; Bijalwan, A.; Singh, B.; Ahmed, T.; Kumar, S. Floristic Diversity, Community Structure and Species Richness of Malta (Citrus sinensis) Based Traditional Homegardens of TEHRI Garhwal, Uttarakhand, India. 2022. Available online: https://assets.researchsquare.com/files/rs-1616775/v1_covered.pdf?c=1652105765 (accessed on 30 September 2022).
  5. Sharma, T.; Khan, M.K.; Misra, P.; Shukla, P.K. Micropropagation of Kinnow through nodal explants. Bioscan 2012, 7, 295–297. [Google Scholar]
  6. Butu, M.; Rodino, S. Fruit and vegetable-based beverages—Nutritional properties and health benefits. In Natural Beverages; Academic Press: Cambridge, MA, USA, 2019; pp. 303–338. [Google Scholar]
  7. Pandey, D.; Kumar, A.; Singh, R. Marketing of sweet orange (Malta) in Kumaon region of Uttarakhand. J. Recent Adv. Appl. Sci. 2011, 26, 6–11. [Google Scholar]
  8. Syed, N.C.; Ghatge, P.U.; Machewar, G.; Pawar, S. Studies on preparation of Squash from sweet orange. Sci. Rep. 2012, 1, 311–313. [Google Scholar]
  9. Ukaoma, A.A.; Duru, M.C.; Iwu, I.; Nwachukwu, N.; Adamu, I.; Anyanwu, C. Citrus sinensis (L.) Peels; Potential for biofuel production. Int. J. Adv. Res. 2021, 9, 2320–5407. Available online: https://www.journalijar.com/uploads/616805068077f_IJAR-37230.pdf (accessed on 30 September 2022). [CrossRef]
  10. Choudhary, D.; Ghosh, I.; Chauhan, S.; Bhati, S.; Juyal, M. Case Studies on Value Chain Approach for Mountain Development in Uttarakhand, India; ICIMOD: Kathmandu, Nepal, 2013; pp. 1–44. [Google Scholar]
  11. Goswami, S.; Bijalwan, A.; Pana, K. Malta (Citrus sinensis): An important but underrated fruit of Uttarakhand, India. Int. J. Curr. Microbiol. Appl. Sci. 2020, 9, 2852–2855. [Google Scholar] [CrossRef]
  12. Kumar, B.M.; Nair, P.R. The enigma of tropical homegardens. Agrofor. Syst. 2004, 61, 135–152. [Google Scholar]
  13. Kumar, B.M. Species richness and aboveground carbon stocks in the homegardens of Central Kerala, India. Agric. Ecosyst. Environ. 2011, 140, 430–440. Available online: https://ur.booksc.eu/dl/13239132/0aad8d (accessed on 30 September 2022). [CrossRef]
  14. Kunhamu, T.K.; Ajeesh, R.; Kumar, V. Floristic analysis of peri-urban homegardens of southern Kerala, India. Indian J. Ecol. 2015, 42, 300–305. [Google Scholar]
  15. Schmidt, L. Guide to Handling Tropical and Subtropical Forest Seed; Danida Forest Seed Center: Humlebaek, Denmark, 2000. [Google Scholar]
  16. International Seed Testing Association. International Rules for seed testing. Seed Sci. Tech. 1999, 27, 27–32. [Google Scholar]
  17. McCready, R.M.; Guggot, J.; Silvaiera, V.; Owen, H.S. Determination of starch and amylase in vegetables. Anal. Chem. 1950, 22, 1156–1158. [Google Scholar] [CrossRef]
  18. AOAC. Official Methods of Analysis, 17th ed.; Association of Official Analytical Chemists: Washington, DC, USA, 2000. [Google Scholar]
  19. Ranganna, S. Handbook of Analysis and Quality Control for Fruit and Vegetable Scuppernong grapes during ripening. J. Food Sci. 2004, 38, 21–24. [Google Scholar]
  20. Hudina, M.; Stampar, F. The correlation of the pear (Pyrus communis L.) cv. ‘Williams’ yield quality to the foliar nutrition and water regime. Acta Agric. Slov. 2005, 85, 179–185. [Google Scholar]
  21. Mahour, M.K.; Tewari, R.; Baghel, B.S. Physico-chemical characteristics of different varieties/germaplasm of Guava in Malwa Plateau of Madhya Pradesh. Agric. Sci. Dig. 2012, 32, 141–144. [Google Scholar]
  22. Markovski, A.; Velkoska–Markovska, L. Investigation of the morphometric characteristics of Jujube types (Zizyphus jujuba Mill.) fruits in Republic of Macedonia. Genetika 2015, 47, 33–43. [Google Scholar] [CrossRef]
  23. Ahmed, M.; Anjum, M.; Khan, A.; Rabbani, M. Assessment of variability in fruit quality parameters of Pyrus germplasm collected from Azad Jammu and Kashmir. Pak. J. Bot. 2011, 43, 971–981. [Google Scholar]
  24. Purgar, D.; Duralija, D.B.; Boca, S.; Vokurka, A.; Ercisli, S. A comparison of fruit chemical characteristics of two wild grown Rubus species from different locations of Croatia. Molecules 2012, 17, 10390–10398. [Google Scholar] [CrossRef]
  25. Siddig, R.A.; Mohamed, S.O.; Goj, A.M.; Elsiddig, E.A. Physico-chemical characteristics of three Mango (Mangifera indica L.) Cultivars in Central Sudan. Int. J. Sci. Res. 2016, 6, 447. [Google Scholar]
  26. Hazarika, T.K.; Lalchhanmawia, J.; Chhangte, L.; Chhangte, L.; Shukla, A.C.; Nautiyal, B.P. Assessment of genetic variability in the endangered Citrus macroptera Mont. (“hatkora”) from Mizoram, North-East India. Genet. Resour. Crop Evol. 2017, 4, 321–330. [Google Scholar] [CrossRef]
  27. Ningot, E.P.; Dahale, M.H.; Uikey, A.; Naitam, P.C. Variability studies on physico-chemical characteristics of Jackfruit genotypes from Eastern Maharashtra, India. Int. J. Curr. Microbiol. Appl. Sci. 2018, 6, 2294–2298. [Google Scholar]
  28. Shravan, R.; Shere, D.M.; Joshi, M.M. Study of physico-chemical characteristics of sweet orange (Citrus sinensis) fruit. J. Pharmacogn. Phytochem. 2018, 7, 1687–1689. [Google Scholar]
  29. Lambani, N.; Malik, S.K.; Kaur, S.; Choudhary, R.; Rohini, M.R.; Bhat, K.V.; Chaudhury, R. Physico-chemical diversity analysis in Lime [C. aurantiifolia (Christm.) Swingle], Lemon (C. limon Burm. f.) and Hill Lemon (C. pseudolimon Tan.) species collected from the foothills of Himalaya, India. Int. J. Curr. Microbiol. Appl. Sci. 2018, 7, 3220–3227. [Google Scholar] [CrossRef]
  30. Yusuf, S.N.A.; Rahman, A.M.A.; Zakaria, Z.; Subbiah, V.K.; Masnan, M.J.; Wahab, Z. Morphological variability identification of Harumanis Mango (Mangifera indica L.) harvested from different location and tree age. Trop. Life Sci. Res. 2020, 31, 107–143. [Google Scholar] [CrossRef] [PubMed]
  31. Naithani, D.C.; Rawat, J.M.S.; Singh, B.; Khanduri, V.P.; Riyal, M.K. Determination of physico-chemical Properties of Aonla (Emblica officinalis Gaerth) Fruits among different populations in Garhwal Himalaya. Int. J. Fruit Sci. 2020, 20 (Suppl. S3), S579–S1589. [Google Scholar]
  32. Ghani, A.; Amini, S.; Mohtashami, S.; Neamati, S.H. Physicochemical and biochemical variations of jujube (Ziziphus jujuba Mill.) populations: A comparison of Iranian and imported types. Ind. Crops Prod. 2022, 183, 114898. [Google Scholar] [CrossRef]
  33. Urbonaviciene, D.; Bobinaite, R.; Viskelis, P.; Bobinas, C.; Petruskevicius, A.; Klavins, L.; Viskelis, J. Geographic variability of biologically active compounds, antioxidant activity and physico-chemical properties in wild bilberries (Vaccinium myrtillus L.). Antioxidants 2022, 11, 588. [Google Scholar] [CrossRef]
  34. Norouzi, E.; Erfani-Moghadam, J.; Fazeli, A.; Khadivi, A. Morphological variability within and among three species of Ziziphus genus using multivariate analysis. Sci. Hortic. 2017, 222, 180–186. [Google Scholar] [CrossRef]
  35. Ganopoulos, I.; Moysiadis, T.; Xanthopoulou, A.; Osathanunkul, M.; Madesis, P.; Zambounis, A.; Kazantzis, K. Morpho-physiological diversity in the collection of sour cherry (Prunus cerasus) cultivars of the Fruit Genebank in Naoussa, Greece using multivariate analysis. Sci. Hortic. 2016, 207, 225–232. [Google Scholar] [CrossRef]
  36. Khadivi, A. Phenotypic characterization of Elaeagnus angustifolia using multivariate analysis. Ind. Crops Prod. 2018, 120, 155–161. [Google Scholar] [CrossRef]
  37. Thakur, N.S.; Dhaygude, G.S.; Gupta, A. Physico-chemical characteristics of wild pomegranate fruits in different locations of Himachal Pradesh. Int. J. Farm Sci. 2011, 1, 37–44. [Google Scholar]
  38. Ali, M.; Ekincl, K. The effect of Altitude on fruit quality and compression load for cracking of Walnuts. J. Food Qual. 2004, 27, 407–417. [Google Scholar]
  39. Singh, B.; Rawat, J.M.S. Estimation of morpho-chemical contents of Phyllanthus emblica L. fruits from four different sites. For. Trees Livelihoods 2007, 17, 255–259. [Google Scholar] [CrossRef]
  40. Shiraishi, M.H.; Hiroyuki, F.; Chijiwa, H.H. Evaluation of table grape genetic resources for sugar, organic acid and amino acid composition of berries. Euphytica 2010, 174, 1–13. [Google Scholar] [CrossRef]
  41. Candir, E.E.; Ozdemir, A.; Kaplankiran, M. Physico-chemical changes during growth of persimmon fruits in the East Mediterranean climate region. Sci. Hortic. 2009, 121, 42–48. [Google Scholar] [CrossRef]
  42. Almanza, M.; Rico, M.A.; Fischer, G. Physico-chemical characterization of ‘Pinot Noir’ grapevine fruits during its growth and development under high altitude tropical condition. Agron. Colomb. 2010, 28, 173–180. [Google Scholar]
Scheme 1. Location map of the study area.
Scheme 1. Location map of the study area.
Land 11 02033 sch001
Figure 1. (A) Tree bearing C. sinensis fruits. (B) C. sinensis fruits turning colour; (C) C. sinensis at the harvesting stage; (D) Harevested fruits of C. sinensis (E) C. sinensis fruit samples for testing.
Figure 1. (A) Tree bearing C. sinensis fruits. (B) C. sinensis fruits turning colour; (C) C. sinensis at the harvesting stage; (D) Harevested fruits of C. sinensis (E) C. sinensis fruit samples for testing.
Land 11 02033 g001
Table 1. Geographical location of C. sinensis fruit (collection sites) in the Garhwal Himalaya.
Table 1. Geographical location of C. sinensis fruit (collection sites) in the Garhwal Himalaya.
Source
Site
DistrictsAltitude
(m asl)
Latitude NLongitude EMean Annual Rainfall (mm)Mean Temperature (°C)
SatpuliPauri Garhwal90029°55′4′′78°42′38′′85432
KafaldPauri Garhwal100030°17′34′′78°40′42′′86931
BhatgaonTehri Garhwal109530°10′30′′78°39′18′′84030
KiradaTehri Garhwal119030°14′6′′78°29′33′′81332
PabethTehri Garhwal120030°12′44′′78°36′24′′87534
BhutliTehri Garhwal126030°13′34′′78°31′12′′81129
AmsarigaonTehri Garhwal131030°14′23′′78°28′13′′91530
LawaTehri Garhwal132530°14′15′′78°29′26′′102028
BamangaonTehri Garhwal137530°24′31′′78°24′38′′108729
SoniTehri Garhwal141530°16′53′′78°46′30′′111229
UkhimathRudraparyag146030°30′54′′79°4′39′′137624
GuptkashiRudraparyag155030°31′35′′79°4′57′′137426
NawasuRudraparyag158030°13′7′′78°54′53′′120528
MusetiPauri Garhwal160030°15′45′′78°46′54′′127827
ChunchaPauri Garhwal165030°8′57′′78°46′40′′129326
GumalgaonTehri Garhwal165030°18′54′′78°46′33′′137424
PhataRudraparyag165030°34′41′′79°2′16′′132421
DurgadharRudraparyag165030°20′53′’79°1′39”124721
NaugaonkhalPauri Garhwal168029°57′48′’78°52′6”122022
KandaiPauri Garhwal170030°09′9′’78°46′36”120820
PaurigaonPauri Garhwal173530°09′20′’78°46′24”117519
VishalkhalChamoli175030°20′34′’79°11′53”122019
BhanajRudraparyag180030°25′14′’79°8′18”112521
PauriPauri Garhwal181430°8′24′’78°46′45”125718.5
GwaldamChamoli182930°01′0′’79°34′57”134718
JoshimathChamoli203030°33′11′’79°33′47”148518
Table 2. Effect of altitude on fruit morphology (mean ± SD) of C. sinensis in Garhwal Himalaya.
Table 2. Effect of altitude on fruit morphology (mean ± SD) of C. sinensis in Garhwal Himalaya.
SourceAltitude
(m asl)
Fruit Length (cm)Fruit Width (cm)Fruit Weight
(g)
Peel Thickness (cm)Peel Weight (g)Juice Sacks/FruitJuice Weight (g)Number of Seeds/FruitsRudimentary Seeds/FruitSeed Weight (g)
Satpuli9005.63 ± 1.035.83 ± 0.5496.64 ± 32.110.60 ± 0.1333.54 ± 17.2410.33 ± 2.5433.15 ± 17.8924.24 ± 6.5416.66 ± 6.741.54 ± 0.91
Kafald10007.26 ± 1.316.90 ± 1.72180.59 ± 54.490.56 ± 0.1253.94 ± 21.228.66 ± 1.7268.91 ± 21.3616.66 ± 7.217.33 ± 3.453.20 ± 1.02
Bhatgaon10958.16 ± 1.108.36 ± 1.52296.86 ± 107.290.76 ± 0.2194.75 ± 24.7611.24 ± 1.99111.32 ± 31.1122.66 ± 13.3712.52 ± 5.873.07 ± 1.01
Kirada11906.16 ± 0.916.53 ± 2.31129.96 ± 52.980.60 ± 0.1145.85 ± 16.6910.33 ± 2.3445.61 ± 23.3119.33 ± 14.4217.47 ± 6.412.09 ± 0.86
Pabeth12006.43 ± 2.886.76 ± 1.73147.92 ± 59.990.56 ± 0.1749.7 ± 23.1211.00 ± 3.0136.38 ± 22.5815.24 ± 8.9914.33 ± 5.112.38 ± 0.56
Bhutli12606.66 ± 1.126.73 ± 1.73137.77 ± 43.280.53 ± 0.2144.09 ± 24.3210.66 ± 3.5457.90 ± 32.1820.12 ± 11.5216.66 ± 8.253.27 ± 0.76
Amsarigaon13106.83 ± 1.417.36 ± 2.65151.35 ± 68.390.56 ± 0.2452.33 ± 17.8911.00 ± 4.4774.84 ± 37.8918.66 ± 13.236.89 ± 3.213.54 ± 0.97
Lawa13256.03 ± 1.867.46 ± 2.34221.78 ± 102.270.73 ± 0.1970.83 ± 24.5710.33 ± 3.93101.98 ± 35.2716.57 ± 10.47.66 ± 4.861.60 ± 0.37
Bamangaon13756.90 ± 1.327.93 ± 1.79227.79 ± 91.280.56 ± 0.2157.19 ± 23.6910.66 ± 5.3495.11 ± 28.5918.66 ± 9.454.66 ± 2.111.87 ± 0.61
Soni14156.66 ± 2.016.30 ± 1.72141.87 ± 87.900.43 ± 0.3338.82 ± 21.119.08 ± 5.3853.00 ± 31.9815.54 ± 11.747.33 ± 3.173.22 ± 1.01
Ukhimath14607.23 ± 1.927.10 ± 2.02172.05 ± 67.310.40 ± 0.2164.81 ± 23.2110.33 ± 5.9346.15 ± 23.5810.33 ± 11.953.24 ± 1.113.55 ± 0.92
Guptkashi15505.86 ± 2.466.06 ± 1.55137.77 ± 89.120.66 ± 0.3037.05 ± 17.1110.04 ± 4.9846.32 ± 27.8115.08 ± 10.546.33 ± 2.931.28 ± 0.12
Nawasu15805.86 ± 2.316.00 ± 1.69103.54 ± 32.130.46 ± 0.2735.40 ± 15.5810.66 ± 3.3334.27 ± 15.4416.00 ± 12.219.00 ± 2.951.79 ± 0.27
Museti16006.86 ± 1.837.26 ± 2.29182.68 ± 47.510.56 ± 0.1969.44 ± 24.129.33 ± 4.5252.38 ± 21.6314.66 ± 9.679.66 ± 3.013.15 ± 1.10
Chuncha16506.12 ± 2.215.90 ± 1.01114.11 ± 52.180.56 ± 0.1767.01 ± 26.719.66 ± 4.9075.24 ± 26.8317.33 ± 11.695.00 ± 1.013.25 ± 0.98
Gumalgaon16506.93 ± 1.016.96 ± 0.99187.18 ± 66.780.46 ± 0.1848.52 ± 24.328.66 ± 3.9269.58 ± 24.6823.33 ± 5.359.00 ± 3.113.18 ± 0.91
Phata16507.08 ± 1.986.86 ± 1.92158.95 ± 71.210.63 ± 0.1937.51 ± 25.439.33 ± 4.0157.69 ± 31.1118.07 ± 7.624.00 ± 0.981.78 ± 0.66
Durgadhar16507.30 ± 1.977.66 ± 2.69217.33 ± 101.240.50 ± 0.0977.34 ± 26.7211.66 ± 4.5864.94 ± 36.7211.12 ± 8.954.00 ± 1.114.04 ± 1.27
Naugaonkhal16807.60 ± 1.317.43 ± 2.37147.67 ± 53.470.46 ± 0.1171.41 ± 27.9910.33 ± 4.6753.84 ± 27.2115.66 ± 9.682.23 ± 0.824.10 ± 1.32
Kandai17006.56 ± 2.116.83 ± 1.97164.11 ± 66.900.50 ± 0.1840.35 ± 12.3210.33 ± 5.8976.45 ± 31.2219.33 ± 8.684.66 ± 0.793.58 ± 1.22
Paurigaon17356.76 ± 1.476.56 ± 1.32154.25 ± 59.090.43 ± 0.2257.55 ± 16.4510.66 ± 5.5167.43 ± 28.9219.33 ± 11.795.33 ± 2.233.26 ± 0.89
Vishalkhal17506.66 ± 1.897.10 ± 2.91173.61 ± 65.090.50 ± 0.1534.94 ± 13.8910.33 ± 4.9274.69 ± 34.2224.24 ± 13.459.27 ± 3.473.66 ± 1.09
Bhanaj18005.86 ± 0.925.86 ± 2.34183.32 ± 89.540.66 ± 0.3266.38 ± 21.6210.53 ± 4.8963.68 ± 32.1316.33 ± 14.831.28 ± 0.361.59 ± 0.43
Pauri18146.26 ± 2.026.93 ± 2.21158.02 ± 54.320.46 ± 0.1853.06 ± 17.8111.08 ± 5.5866.81 ± 33.1424.14 ± 11.873.14 ± 0.344.52 ± 1.42
Gwaldam18296.93 ± 1.926.06 ± 1.92144.14 ± 69.970.56 ± 0.2142.46 ± 21.8410.33 ± 5.4339.70 ± 18.9112.33 ± 9.760.00 ± 0.001.29 ± 0.64
Joshimath20306.52 ± 1.926.93 ± 2.01148.97 ± 99.900.56 ± 0.2250.05 ± 19.4810.66 ± 6.3446.54 ± 19.3218.33 ± 11.325.26 ± 1.173.54 ± 0.78
Mean 6.666.83164.620.5553.6352.1562.0717.827.422.82
CD 5 % 0.730.63126.61.6224.191.1734.4910.169.661.01
Table 3. Effect of altitude on nutrients content (mean ±SD) of C. sinensis in Garhwal Himalaya.
Table 3. Effect of altitude on nutrients content (mean ±SD) of C. sinensis in Garhwal Himalaya.
SourceAltitude
(m asl)
Total Soluble Solids (%)Citric Acid (%)Ascorbic Acid
(mg100 g−1)
Soluble Sugar (%)
Satpuli9008.00 ± 1.174.86 ± 1.2774.41 ± 5.695.96 ± 0.32
Kafald10009.53 ± 2.013.71 ± 1.2860.90 ± 6.875.99 ± 0.50
Bhatgaon109510.13 ± 2.223.52 ± 1.9331.45 ± 6.329.27 ± 0.38
Kirada11907.73 ± 1.964.03 ± 1.7934.89 ± 3,455.25 ± 0.45
Pabeth12009.80 ± 1.454.28 ± 2.1140.56 ± 5.326.64 ± 0.61
Bhutli126010.73 ± 2.634.04 ± 1.6952.80 ± 6.198.86 ± 0.47
Amsarigaon13109.40 ± 2.013.54 ± 0.9239.93 ± 2.398.42 ± 0.68
Lawa132510.46 ± 2.884.89 ± 2.3237.72 ± 3.917.56 ± 0.33
Bamangaon137511.23 ± 3.114.50 ± 2.1139.94 ± 5.095.48 ± 0.47
Soni14158.53 ± 1.973.20 ± 1.7934.57 ± 4.195.59 ± 0.31
Ukhimath146012.76 ± 3.473.28 ± 0.9486.45 ± 7.184.65 ± 0.32
Guptkashi155010.96 ± 2.973.93 ± 1.0953.15 ± 5.615.35 ± 0.23
Nawasu15809.80 ± 2.135.01 ± 2.0344.66 ± 4.595.16 ± 0.29
Museti16008.50 ± 2.313.26 ± 1.8154.23 ± 5.325.96 ± 0.41
Chuncha16509.66 ± 3.333.94 ± 1.3958.94 ± 5.625.29 ± 0.27
Gumalgaon16508.40 ± 2.973.84 ± 1.3742.11 ± 3.395.14 ± 0.26
Phata165012.46 ± 3.483.62 ± 1.5845.67 ± 5.605.24 ± 0.36
Durgadhar165011.66 ± 3.463.68 ± 0.7979.33 ± 6.015.96 ± 0.42
Naugaonkhal168011.03 ± 4.113.04 ± 1.2475.33 ± 6.735.96 ± 0.39
Kandai17009.73 ± 2.793.68 ± 1.3178.56 ± 4.935.49 ± 0.41
Paurigaon173511.20 ± 3.283.20 ± 1.3868.67 ± 4.796.65 ± 0.37
Vishalkhal175011.80 ± 2.904.40 ± 1.8860.06 ± 4.325.24 ± 0.33
Bhanaj18008.70 ± 1.755.46 ± 1.7340.88 ± 3.337.03 ± 0.57
Pauri18148.53 ± 1.393.79 ± 1.1183.40 ± 3.845.82 ± 0.32
Gwaldam182911.93 ± 3.416.68 ± 2.3746.47 ± 2.228.51 ± 0.23
Joshimath203010.00 ± 2.565.96 ± 2.1958.89 ± 2.878.28 ± 0.29
Mean 10.104.1354.776.34
CD 5 % 1.661.133.510.49
Table 4. MANOVA for fruit weight vs fruit morphology and nutritive properties of C. sinensis.
Table 4. MANOVA for fruit weight vs fruit morphology and nutritive properties of C. sinensis.
Source of VariationDFF Ratio
Fruit LengthFruit WidthPeel ThicknessPeel WeightJuice Sacks/FruitJuice WeightNumber of Seeds/FruitsRudimentary Seeds/FruitSeed WeightTotal Soluble SolidsCitric AcidAscorbic AcidSoluble Sugar
Fruit Weight117.94 **25.74 **18.15 **1.02 ns1.09 ns23.22 **2.43 ns0.61 ns6.27 **4.61 *4.69 *1.61 ns1.80 ns
** Significant at p < 0.01; * Significant at p < 0.05; NS- non significant.
Table 5. Correlation coefficient between geographical variable with morphological and nutrient contents of C. sinensis.
Table 5. Correlation coefficient between geographical variable with morphological and nutrient contents of C. sinensis.
Geographical VariableFWtFLFWPTP WtJ SJ WtNSRSS WtTSSCAAASS
Altitude−0.160.51 **0.00−0.340.300.11−0.11−0.14−0.70 **0.240.270.050.26−0.14
Latitude0.430.51 **0.51 **0.200.300.130.27−0.21−0.020.110.240.01−0.270.26
Longitude0.01−0.180.00−0.02−0.200.110.170.49 **0.45 **0.06−0.46 **0.14−0.290.13
Rainfall0.01−0.13−0.10−0.35−0.08−0.27−0.19−0.29−0.70 **0.140.360.130.35−0.34
Temperature−0.110.73 **0.81 **0.390.27−0.05−0.260.320.72 **−0.14−0.41−0.19−0.47 **0.04
Abbreviation: F Wt = fruit weight, FL = fruit length, FW = fruit width, Pt = peel thickness, Wt = peel weight, JS = juice sacks, J Wt = juice weight, NS = number of seeds, RS = rudimentary seeds, S Wt = seed weight, TSS = total soluble solids, CA = citric acid, AA = ascorbic acid, SS = soluble sugar. ** significant at p < 0.01.
Table 6. Analysis of variation for various morphological and nutrient contents among and within the fruit source of C. sinensis.
Table 6. Analysis of variation for various morphological and nutrient contents among and within the fruit source of C. sinensis.
Source of VariationD FF-Value
FLFWF WtS WtNSRSP WtP TJSJ WtTSSC AAASS
Treatment255.49 **8.78 **2.84 *7.28 **14.52 **2.00 ns3.36 *3.28 *3.06 *2.98 ns13.84 **6.03 **183.28 **143.18 **
Replicate42.073.19 *1.871.863.13 *0.630.662.32 *0.292.300.111.110.441.22
Abbreviation: F Wt = fruit weight, FL = fruit length, FW = fruit width, Pt = peel thickness, Wt = peel weight, JS = juice sacks, J Wt = juice weight, NS = number of seeds, RS = rudimentary seeds, S Wt = seed weight, TSS = total soluble solids, CA = citric acid, AA = ascorbic acid, SS = soluble sugar. * Significant at p < 0.05, ** significant at p < 0.01.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Anand, J.; Rawat, J.S.; Rawat, V.; Singh, B.; Khanduri, V.P.; Riyal, M.K.; Kumar, P.; Pinto, M.M.S.C.; Kumar, M. Climatic and Altitudinal Variation in Physicochemical Properties of Citrus sinensis in India. Land 2022, 11, 2033. https://doi.org/10.3390/land11112033

AMA Style

Anand J, Rawat JS, Rawat V, Singh B, Khanduri VP, Riyal MK, Kumar P, Pinto MMSC, Kumar M. Climatic and Altitudinal Variation in Physicochemical Properties of Citrus sinensis in India. Land. 2022; 11(11):2033. https://doi.org/10.3390/land11112033

Chicago/Turabian Style

Anand, Jahan, Jagmohan Singh Rawat, Vidyawati Rawat, Bhupendra Singh, Vinod Prasad Khanduri, Manoj Kumar Riyal, Prabhat Kumar, Marina M. S. Cabral Pinto, and Munesh Kumar. 2022. "Climatic and Altitudinal Variation in Physicochemical Properties of Citrus sinensis in India" Land 11, no. 11: 2033. https://doi.org/10.3390/land11112033

APA Style

Anand, J., Rawat, J. S., Rawat, V., Singh, B., Khanduri, V. P., Riyal, M. K., Kumar, P., Pinto, M. M. S. C., & Kumar, M. (2022). Climatic and Altitudinal Variation in Physicochemical Properties of Citrus sinensis in India. Land, 11(11), 2033. https://doi.org/10.3390/land11112033

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