Intraspecific competition as a driver for true production potential of soybean

Submitted: 23 July 2020
Accepted: 8 October 2020
Published: 30 October 2020
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Highlights
- It is recommended to increase the sowing density in areas with less rainfall to compensate number of pods and number of seeds.
- Low intraspecific competition increased yield and nitrogen accumulation in the seeds as the plant density increased.
- In the wet year, strong intraspecific competition resulted in high yield and nitrogen accumulation only up to a density of 42 plants m–2.
- At very low crop density, the intensity of intraspecific competition is very low and blocked the manifestation of the plants’ true production potential.
- In the dry year, nitrogen uptake of soybean increased with plant density in the canopy up to the maximum density.

 

Phenotypic plasticity of agricultural plants is considered to be one of the main means by which plants cope with the variability of environmental factors. A major contributor to plant plasticity is sowing density, which has a relevant impact on competitive intensity concerning plant density in different environments (CI) and absolute severity of competition (ASC) concerning plant-plant responses to each other in canopy. A field experiment with soybean was set up at the Experimental Station in Prusy, Krakow, to determine the impact of intraspecific competition on growth, plant architecture, nitrogen accumulation, and yield of soybean as an effect of seven different plant densities and weather conditions. The study showed that intraspecific competition in soybean was conditioned by sowing density and access to water, thus revealing the true plant productive potential. Low intraspecific competition increased with plant density causing an increase in the yield of plants. In the wet year of 2014, strong intraspecific competition resulted in high yield and nitrogen accumulation only up to a density of 42 plants m–2, compared to dry years when nitrogen uptake of soybean increased with plant density in full range. The CI and ASC competition indices were sensitive to the varying amount of rainfall. Greater rainfall during crop vegetation increased the intensity of competition as well as the absolute severity of competition and decreased the relative yield with increasing density. In contrast, drought reduced intraspecific competition, eliminating it entirely at over 52 plants m–2.

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Annicchiarico P, 2017. Feed legumes for truly sustainable crop-animal systems. Ital. J. Agron. 12:880. DOI: https://doi.org/10.4081/ija.2017.880
Assefa Y, Prasad PVV, Carter P, Hinds M, Bhalla G, Schon R, Jeschke M, Paszkiewicz S, Ciampitti AI, 2016. Yield responses to planting density for US modern corn hybrids: A synthesis-analysis. Crop Sci. 56:2802-17. DOI: https://doi.org/10.2135/cropsci2016.04.0215
Board JE, Kahlon CS, 2013. Morphological responses to low plant population differ between soybean genotypes. Crop Sci. 53:1109-19. DOI: https://doi.org/10.2135/cropsci2012.04.0255
Bonser SP, 2013. High reproductive efficiency as an adaptive strategy in competitive environment. Funct. Ecol. 27:876-85. DOI: https://doi.org/10.1111/1365-2435.12064
Balbinot Junior AA, Neves de Oliveira MC, Franchini JC, Debiasi H, Zucareli C, Ferreira A. S, Werner F, 2018. Phenotypic plasticity in a soybean cultivar with indeterminate growth type. Pes. Agr. Brasil. 53:1038-44. DOI: https://doi.org/10.1590/s0100-204x2018000900007
Bashar HM, Khan MMH, Rahman MM, Rahaman F, Hussain J, Rokon GM, Shanto MH, Roy S, Akter N, 2019. Plant density effects on yield and yield attributes of two soybean varieties in Kharif-II Season of Bangladesh. Adv. Nut. Food Sci. 4:1-8. DOI: https://doi.org/10.33140/ANFS.04.03.03
Caratti FC, Lamego FP, Silva JDG, Garcia JR, Agostinetto D, 2016. Partitioning of competition for resources between soybean and corn as competitor plant. Planta Daninha, Viçosa-MG, v. 34, n. 4, pp 657-665. DOI: https://doi.org/10.1590/s0100-83582016340400005
De Bruin JL, Pedersen P, 2008. Effect of row spacing and seeding rate on soybean yield. Agr. J. 100:704-10. DOI: https://doi.org/10.2134/agronj2007.0106
FAO, 2019. Food outlook. FAO, Rome, Italy. Available from: http://www.fao.org/3/ca6911en/CA6911EN.pdf
Ferreira AS, Balbinot Junior AA, Werner F, Zucareli C, Franchini JC, Debiasi H, 2016. Plant density and mineral nitrogen fertilisation influencing yield, yield components and concentration of oil and protein in soybean grains. Bragantia 75:362-70. DOI: https://doi.org/10.1590/1678-4499.479
Grichar WJ, 2007. Row spacing, plant populations and cultivar effects on soybean production along Texas Gulf Coast. Crop Manag. 6:1-6. DOI: https://doi.org/10.1094/CM-2007-0615-01-RS
ISTA, 2009. International Rules for Seed Testing. International Seed Testing Association, Geneva, Switzerland.
Klimek-Kopyra A, Bacior M, ZajÄ…c T, 2017. Biodiversity as a creator of productivity and interspecific competitiveness of winter cereal species in mixed cropping. Ecol. Model. 343:123-30. DOI: https://doi.org/10.1016/j.ecolmodel.2016.10.012
Luca MJ, Hungria M, 2014. Plant densities and modulation of symbiotic nitrogen fixation in soybean. Sci. Agric. 71:81-187. DOI: https://doi.org/10.1590/S0103-90162014000300002
Maddonni GA, Otegui ME, 2006. Intraspecific competition in maize: contribution of extreme plant hierarchies to grain yield, grain yield components and kernel composition. Field Crop Res. 97:155-66. DOI: https://doi.org/10.1016/j.fcr.2005.09.013
Neugschwandtner RW, Winkler J, Bernhart M, Pucher MA, Klug M, Werni C, Adam E, Kaul H-P, 2020. Effect of row spacing, seedling rate and nitrogen fertilisation on yield and yield components of soybean. Bodenkult. J. Land Manag. Food Env. 70:221-36. DOI: https://doi.org/10.2478/boku-2019-0020
Nicolin DJ, Jorge RMM, Jorge LMM, 2015. Moving boundary modelling of conventional and transgenic soybean hydration: Moisture profile and moving front experimental validation. Int. J. Heat Mass Transfer 90:568-77. DOI: https://doi.org/10.1016/j.ijheatmasstransfer.2015.07.014
Nordby DE, Alderks DL, Nafziger ED, 2007. Competitiveness with weeds of soybean cultivars with different maturity and canopy width characteristics. Weed Technol. 21:1082-8. DOI: https://doi.org/10.1614/WT-06-190.1
Qian CR, Yang Y, Gong XJ, Jiang YB, Zhao Y, Yang ZL, Hao YB, Li L, Song ZW, Zhang WJ, 2016. Response of grain yield to plant density and nitrogen rate in spring maize hybrids released from 1970 to 2010 in Northeast China. Crop J. 4:459-67. DOI: https://doi.org/10.1016/j.cj.2016.04.004
Rahman MM, Hossain MM, 2011. Plant density effects on growth, yield and yield components of two soybean varieties under equidistant planting arrangement. Asian J. Plant Spec. 10:278-86. DOI: https://doi.org/10.3923/ajps.2011.278.286
Rębilas K, Klimek-Kopyra A, Bacior M, Zając T, 2020. A model for the yield losses estimation in an early soybean (Glycine max (L. Merr.)) cultivar depending on the cutting height at harvest. Field Crop. Res. 254:107846. DOI: https://doi.org/10.1016/j.fcr.2020.107846
Snaydon RW, 1991. Replacement or additive designs for competition studies? J. App. Ecol. 28:930-46. DOI: https://doi.org/10.2307/2404218
Snaydon RW, Satorre EH, 1989. Bivariate diagrams for plant competition data: modifications and interpretation. J App. Ecol. 26:1043-57. DOI: https://doi.org/10.2307/2403711
Spitters CJT, 1983. An alternative approach to the analysis of mixed cropping experiments. 1. Estimation of competition effects. Neth. J. Agric. Sci. 31:1-11. DOI: https://doi.org/10.18174/njas.v31i1.16957
Shapiro SS, Wilk MB, 1965. Ana analysis of variance test for normality (complete samples). Biometrika 52:591-611. DOI: https://doi.org/10.1093/biomet/52.3-4.591
Visser CLM, Schreuder R, Stoddard F, 2015. The EU’s dependency on soya bean import for the animal feed industry and potential for EU produced alternatives. OCL 21:1-8. Doi: 10.1051/ocl/2014021. DOI: https://doi.org/10.1051/ocl/2014021
Vollmann J, 2016. Soybean versus other food grain legumes: A critical appraisal of the United Nations Interna-tional Year of Pulses 2016. Bodenkult. J. Land Manag. Food Env. 67:17-24. DOI: https://doi.org/10.1515/boku-2016-0002
Wang L-W, Showalter A, Ungar I, 2005. Effects of intraspecific competition on growth and photosynthesis of Atriplex prostrata. Aquatic Botant. 83:1870192. DOI: https://doi.org/10.1016/j.aquabot.2005.06.005
Weigelt A, Jolliffe P, 2003. Indices of plant competition. J. Ecol. 91:707-20. DOI: https://doi.org/10.1046/j.1365-2745.2003.00805.x
Werner F, Balbinot Junior AA, Ferreira AS, Silva MA, Debiashi H, Franchini JC, 2016. Soybean growth affected by seeding rate and mineral nitrogen. Revista Brasil. Eng. Agríc. Ambien. 20:734-8. DOI: https://doi.org/10.1590/1807-1929/agriambi.v20n8p734-738
Yang X-Z, Zhang W-H, He Q-Y, 2019. Effects of intraspecific competition on growth, architecture and biomass allocation of Quercus Liaotungensis. J. Plant Int. 14:284-94. DOI: https://doi.org/10.1080/17429145.2019.1629656
Zhai LC, Xie R, Ming B, Li S, Ma D, 2018. Evaluation and analysis of intraspecific competition in maize: A case study on plant density experiment. J. Int. Agric. 17:2235-44. DOI: https://doi.org/10.1016/S2095-3119(18)61917-3
Zhang Q, Li Y, Chin K, Qi Y, 2017. Vegetable soybean: Seed composition and production research. Ital. J. Agron. 12:872. DOI: https://doi.org/10.4081/ija.2017.872

How to Cite

Klimek-Kopyra, A., Bacior, M., Lorenc-Kozik, A., Neugschwandtner , R. W., & Zając, T. (2020). Intraspecific competition as a driver for true production potential of soybean. Italian Journal of Agronomy, 16(1). https://doi.org/10.4081/ija.2020.1709