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Protein content enhanced in soybean under aonla-based agroforestry system

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Abstract

An experiment on aonla-soybean intercropping was conducted at the experimental farm of the Department of Silviculture and Agroforestry, College of Horticulture and Forestry, Neri–Hamirpur, H.P., India during the year 2020–21 with an objective to determine the effect of aonla trees on growth, yield and quality parameters of soybean crop. The experiment was laid out in randomised complete block design (02 factorial) to determine the effect of the trees on growth and yield parameters of soybean crop in four directions (east, west, north and south) at three distances (1, 2 and 3 m) from the trees. The quality parameters of soybean were estimated at three distances (1, 2 and 3 m) from aonla trees having composite sample from all the directions, distance wise and in open grown crop with total four treatments. The treatments were replicated five times and data were analysed using randomised complete block design. In another experiment, the agroforestry system comprising aonla + soybean was compared with the sole soybean cropping system employing student’s t-test. The results showed that the growth and yield of intercropped soybean increased with an increase in the distance of crop from aonla trees and revealed significantly higher values at 3 m distance from trees as compared to the sole crop. Among directions, the highest yield was obtained in the east direction. The biochemical analysis exhibited that the photosynthetic pigments (total chlorophyll and carotenoids) of soybean leaves were lower under aonla as compared to sole cropping. The contents of total soluble protein and total carbohydrates were significantly higher in the seeds of soybean crop raised underneath aonla over the sole crop. Overall, aonla + soybean system revealed positive interactions between the components, therefore recommended for the farmers from ecological and economical perspective.

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References

  • Amanullah I (2016) Dry matter partitioning and harvest index differ in rice genotypes with variable rates of phosphorus and zinc nutrition. Rice Sci 23(2):78–87. https://doi.org/10.1016/j.rsci.2015.09.006

    Article  Google Scholar 

  • AOAC (1965) Official methods of analysis of association of official analytical chemists, 10th edn. Association of Official Analytical Chemists, Washington

  • AOAC (1970) Official methods of analysis of association of official analytical chemists, 11th edn. Association of Official Analytical Chemists, Washington

  • Artru S, Garre S, Dupraz C, Hiel M, Blitz-Frayret C, Lassois L (2017) Impact of spatio-temporal shade dynamics on wheatgrowth and yield, perspectives for temperate agroforestry. Eur J Agron 82:60–70. https://doi.org/10.1016/j.eja.2016.10.004

    Article  Google Scholar 

  • Dai YS, Yang T, Shen L, Wang XY, Zhang WL, Liu TT, Lu WH, Li LH, Zhang W (2021) Root growth, distribution, and physiological characteristics of alfalfa in a poplar/alfalfa silvopastoral system compared to sole-cropping in northwest Xinjiang, China. Agrofor Syst 95:1–17. https://doi.org/10.1007/s10457-021-00639-1

    Article  Google Scholar 

  • Davies BH (1976) Carotenoids. In: Goodwin TW (ed) Chemistry and biochemistry of plant pigments. Academic Press, London, p 154

    Google Scholar 

  • Deshmukh HK, Mishra VK, Deshmukh AJ, Taide YB (2011) Effect of Grewia optiva pollarded at different heights on biomass production of agroforestry systems in mid-hills of Himachal Pradesh of India. Indian J Ecol 38:137–140

    Google Scholar 

  • Dubois M, Gills KA, Hamilton JK, Robers PA, Smith F (1956) Colorimetric method of determination of sugars and related substances. Anal Chem 28(3):350–356

    Article  CAS  Google Scholar 

  • Fan Y, Chen J, Cheng Y, Raza MA, Wu X, Wang Z, Liu Q, Wang R, Wang X, Yong T, Liu W (2018) Effect of shading and light recovery on the growth, leaf structure, and photosynthetic performance of soybean in a maize-soybean relay-strip intercropping system. PLoS ONE 13(5):e0198159. https://doi.org/10.1371/journal.pone.0198159

    Article  CAS  Google Scholar 

  • Hedge JE, Hofreiter BT (1962). In: Whistler RL, Be Miller JN (eds) Carbohydrate chemistry, vol 17. Academic Press, New York

    Google Scholar 

  • Jayaraman J (1981) Laboratory manual in biochemistry. Wiley Eastern Ltd., New Delhi, pp 114–117

    Google Scholar 

  • Levasseur V, Oliver A (2000) The farming system and traditional agroforestry systems in the Maya community of San Jose. Belize Agrofor Syst 49(3):275–288. https://doi.org/10.1023/A:1006327403980

    Article  Google Scholar 

  • Lowry OH, Rosebrough NJ, Farr AL, Randall RJ (1951) Protein measurement with the Folin phenol reagent. J Biol Chem 193(1):265–275

    Article  CAS  Google Scholar 

  • Lu Q, Yang H, Ci L, Zhu Z, Wu Y, Jing Y (1997) Effect of radiation transmission on crop yield and quality. Acta Ecol Sin 17(1):36–44

    CAS  Google Scholar 

  • Muhtarudin M, Sari WP, Savitri D, Fathul F, Erwanto E, Liman L, Wijaya AK, Dakhlan A, Adhianto K (2020) Effect of grass variety and shade under palm oil plantation on production and proportion of stems, leaves and nutrition content of grass. J Biol Sci 20(3):116–122. https://doi.org/10.3923/jbs.2020.116.122

    Article  CAS  Google Scholar 

  • Narain P, Singh RK, Sindhwal NS, Joshie P (1997) Agroforestry for soil and water conservation in the western Himalayan Valley region of India runoff, soil and nutrient losses. Agrofor Syst 39(2):175–189. https://doi.org/10.1023/A:1005916713956

    Article  Google Scholar 

  • Ong CK (1996) Quantifying the effects of tree-crop interaction. In: Ong CK, Huxley P (eds) Tree-crop interactions. CAB International Press, Wallingford, pp 1–23

    Google Scholar 

  • Pardon P, Reubens B, Mertness J, Yesheyen K, Frenne DP, Smet DG, Van WC, Reheul D (2018) Effects of temperate agroforestry on yield and quality of different arable intercrops. Agric Syst 166:135–151. https://doi.org/10.1016/j.agsy.2018.08.008

    Article  Google Scholar 

  • Prochazkova D, Sairam RK, Srivastava GC, Singh DV (2001) Oxidative stress and antioxidant activity as the basis of senescence in maize leaves. Plant Sci 161:765–771. https://doi.org/10.1016/S0168-9452(01)00462-9

    Article  CAS  Google Scholar 

  • Puri S, Panwar P (2007) Agroforestry-systems and practices. New India Publishing Agency, New Delhi, pp 175–189

    Google Scholar 

  • Qiao X, Chen X, Lei J, Sai L, Xue L (2020) Apricot-based agroforestry system in Southern Xinjiang Province of China: influence on yield and quality of intercropping wheat. Agrofor Syst 94:477–485. https://doi.org/10.1007/s10457-019-00412-5

    Article  Google Scholar 

  • Rui LI, Wen T, Tang YP, Sun X, Xia C, University SA (2014) Effect of shading on photosynthetic and chlorophyll fluorescence characteristics of soybean. Acta Prataculturae Sin 23:198–206

    Google Scholar 

  • Sarkar P, Islam MM, Roy L, Rahman GMM (2014) Performance of raddish and coriander under six-year-old Lohkat tree. J Agrofor Environ 8(1):63–66

    Google Scholar 

  • Schroth G, Da-Fonseca GAB, Harvey CA, Gascon C, Vasconecelos HL, Izac AMN (2004) Agroforestry and biodiversity conservation in tropical landscapes. Isalnd press, Washington

    Google Scholar 

  • Semida WM, Ammar MS, Nevein A (2017) Effects of shade level and microenvironment on vegetative growth, physiological and biochemical characteristics of transplanted cucumber (Cucumis sativus). Arch Agric Environ Sci 2(4):361–368. https://doi.org/10.26832/24566632.2017.020421

    Article  Google Scholar 

  • Singh A (1977) Practical plant physiology. Kalyani Publishers, New Delhi

    Google Scholar 

  • Singh J, Bishnoi M (2013) Performance of bean crops under khejri (Prosopis cineraria) canopy in agroforestry systems of arid zone. Int J Agric Sci Res 2(12):318–321

    Google Scholar 

  • Stagnari F, Maggio A, Galieni A, Pisante M (2017) Multiple benefits of legumes for agriculture sustainability: an overview. Chem Biol Technol Agric 4(1):1–3. https://doi.org/10.1186/s40538-016-0085-1

    Article  Google Scholar 

  • Tewari JC, Moola-Ram RMM, Dagar JC (2014) Livelihood improvements and climate change adaptations through agroforestry in hot arid environments. In: Dagar JC, Singh AK, Arunachalam A (eds) Agroforestry systems in India: livelihood security & ecosystem services, advances in agroforestry, vol 10. Springer, New Delhi, pp 155–184

    Chapter  Google Scholar 

  • Thevathasan NV, Gordon AM, Simpson JA, Reynolds PE, Price GW, Zhang P (2004) Biophysical and ecological interactions in a temperate tree-based intercropping system. J Crop Improv 12(1–2):339–363. https://doi.org/10.1300/J411v12n01_04

    Article  Google Scholar 

  • Toppo P, Toppo S (2018) Tree crop interaction in agroforestry system. Int J Chem Stud 7(1):2359–2361

    Google Scholar 

  • Vandenbeldt RJ (1992) In: Faidherbia albida in the West African semi-arid tropics: proceedings of a workshop, Niamey, Niger, 22–26 April 1991. World Agroforestry Centre, pp 220

  • Vyas SP (2001) Effect of Prosopis cineraria on growth and productivity of Cassia angustifolia under Medico-forestry system in arid region of Thar desert. J Trop Forestry 17(3):71–73

    Google Scholar 

  • Wang J, Zhang Y, Liu C, Tan Y, Zhang Y, Chen L, Zhu H, Chen Y (2015) Wheat grain filling characteristics and quality traits in wheat-apricot intercropping field in Southern Xinjiang. Acta Agric Bor Occid Sin 24(7):44–50

    Google Scholar 

  • Wittmann C, Aschan G, Pfanz H (2001) Leaf and twig photosynthesis of young beech (Fagus sylvatica) and aspen (Populus tremula) trees grown under different light regime. Basic Appl Ecol 2:145–154. https://doi.org/10.1078/1439-1791-00047

    Article  Google Scholar 

  • Zhang W, Wang BJ, Gan YW, Duan ZP, Hao XD, Xu WL, Lv X, Li LH (2017) Competitive interaction in a jujube tree/wheat agroforestry system in northwest China’s Xinjiang Province. Agrofor Syst 91:881–893. https://doi.org/10.1007/s10457-016-9962-7

    Article  Google Scholar 

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Correspondence to Meenakshi Thakur.

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Sharma, A., Sharma, K., Thakur, M. et al. Protein content enhanced in soybean under aonla-based agroforestry system. Agroforest Syst 97, 261–272 (2023). https://doi.org/10.1007/s10457-023-00804-8

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