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Journal of Integrative Agriculture  2023, Vol. 22 Issue (2): 434-446    DOI: 10.1016/j.jia.2022.08.047
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Identification of tolerance to high density and lodging in short petiolate germplasm M657 and the effect of density on yield-related phenotypes of soybean

GAO Hua-wei1, 2, YANG Meng-yuan3, YAN Long4, HU Xian-zhong2, HONG Hui-long1, 2, ZHANG Xiang3, SUN Ru-jian5, WANG Hao-rang6, WANG Xiao-bo7, LIU Li-ke3, ZHANG Shu-zhen1, QIU Li-juan1, 2

1 Key Laboratory of Soybean Biology, Ministry of Education/College of Agriculture, Northeast Agricultural University, Harbin 150030, P.R.China

2 National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China

3 College of Life Science of Liaocheng University, Liaocheng 252059, P.R.China

4 Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences/Hebei Laboratory of Crop Genetic and Breeding, Shijiazhuang 050035, P.R.China

5 Hulun Buir Institution of Agriculture and Animal Husbandry, Zhalantun 162650, P.R.China

6 Jiangsu Xuhuai Regional Institute of Agricultural Sciences, Xuzhou 221000, P.R.China

7 School of Agronomy, Anhui Agricultural University, Hefei 230036, P.R.China

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摘要  高密度种植可以提高大豆产量,但通过改良株高及叶柄性状以选育株型紧凑、抗倒伏性优异的高产品种是提高产量的重要途径。2017-2018年,我们比较了黄淮地区四个地点的短叶柄种质M657与三个对照品种产量相关性状、抗倒伏性和叶柄相关表型间的关系。结果表明,M657对高种植密度和倒伏性表现出极高且稳定的耐受性,尤其在最高密度8×105株ha-1下表现依然优异。回归分析表明,较短的叶柄长度与抗倒伏性的增加显著相关。产量分析表明,M657在较高密度下获得了较高的产量,尤其在黄淮北片地区。在与地点、密度相关的倒伏性和产量方面,不同品种对株距、行间距的反应存在显著差异。植株的倒伏性与种植密度、株高、叶柄长度和有效分枝数显著正相关,与茎粗、单株粒数、单株粒重呈显著负相关。在当前大豆品种种植密度的基础上,适当增加种植密度有助于黄淮地区大豆的产量提高。本研究为在高密度种植系统中引入适宜高产的紧凑株型性状、建立黄淮地区大豆高产模式提供了极有价值的新种质资源。


Soybean yield has been increased through high planting density, but investigating plant height and petiole traits to select for compact architecture, lodging resistance, and high yield varieties is an underexplored avenue to improve yield.  We compared the relationship between yield-related traits, lodging resistance, and petiole-associated phenotypes in the short petiole germplasm M657 with three control accessions over 2017-2018 in four locations of the Huang-Huai region.  The results showed M657 exhibited stable and high tolerance to high planting density and resistance to lodging, especially at the highest density (8×105 plants ha-1).  Regression analysis showed that shorter petiole length was significantly associated with increased lodging resistance.  Yield analysis showed that M657 achieved higher yields under higher densities, especially in the north Huang-Huai region.  There are markedly different responses to intra- and inter-row spacing designs among varieties in both lodging and yield related to location and density.  Lodging was positively correlated with planting density, plant height, petiole length, and number of effective branches, and negatively correlated with stem diameter, seed number per plant, and seed weight per plant.  The yield of soybean was increased by appropriately increasing planting density on the basis of current soybean varieties in the Huang-Huai region.  This study provides a valuable new germplasm resource for introgression of compact architecture traits amenable to high yield in high density planting systems and establishes a high-yield model of soybean in the Huang-Huai region.

Keywords:  soybean       short petiole       high density and lodging       yield-related phenotypes  
Received: 15 August 2021   Accepted: 22 December 2021

This study was funded by the National Natural Science Foundation of China (31271753), the Central Public-interest Scientific Institution Basal Research Fund, China (S2021ZD02) and the Agricultural Science and Technology Innovation Program (ASTIP) of the Chinese Academy of Agricultural Sciences (CAAS-ZDRW202003-1).

About author:  Correspondence QIU Li-juan, E-mail:; ZHANG Shu-zhen, E-mail:; LIU Li-ke, E-mail:

Cite this article: 

GAO Hua-wei, YANG Meng-yuan, YAN Long, HU Xian-zhong, HONG Hui-long, ZHANG Xiang, SUN Ru-jian, WANG Hao-rang, WANG Xiao-bo, LIU Li-ke, ZHANG Shu-zhen, QIU Li-juan. 2023. Identification of tolerance to high density and lodging in short petiolate germplasm M657 and the effect of density on yield-related phenotypes of soybean. Journal of Integrative Agriculture, 22(2): 434-446.

Andrade F M, Hamawaki O T, Rezende D F, Sousa L B. 2010. Soybean genotypes at four planting dates and plant population, in Uberlandia-MG. Revista Verde De Agroecologia E Desenvolvimento Sustentável, 5, 124–129. (in Portuguese) 
Bertram M G, Pedersen P. 2004. Adjusting management practices using glyphosate-resistant soybean cultivars. Agronomy Journal, 96, 462–468.
Board J. 2001. Reduced lodging for soybean in low plant population is related to light quality. Crop Science, 41, 379–384.
Boquet D J, Koonce K L, Walker D M. 1982. Selected determinate soybean cultivar yield responses to row spacings and planting dates1. Agronomy Journal, 74, 136–138.
Cao Y J , Wang L C, Gu W R, Wang Y J, Zhang J H. 2021. Increasing photosynthetic performance and post-silking N uptake by moderate decreasing leaf source of maize under high planting density. Journal of Integrative Agriculture, 20, 494–510.
Chen H F, Yang Z L, Chen L M, Zhang C J, Yuan S L, Zhang X J, Qiu D Z, Wan Q, Zhan Y, Chen S L, Shan Z H, Zhou X A. 2017. Combining QTL and candidate gene analysis with phenotypic model to unravel the relationship between lodging and related traits in soybean. Molecular Breeding, 37, 43.
Cho Y S, Kim S D. 2010. Growth parameters and seed yield compenets by seeding time and seed density of non-/few branching soybean cultivars in drained paddy field. Asian Journal of Plant Sciences, 9, 140–145.
Cober E R, Morrison M J. 2010. Regulation of seed yield and agronomic characters by photoperiod sensitivity and growth habit genes in soybean. Theoretical and Applied Genetics, 120, 1005–1012.
Cooper R L. 1971. Influence of soybean production practices on lodging environments and seed yield in highly  in highly productive environments. Agronomy Journal, 63, 490–493.
Cooper R L. 1990. High-Yield-System-in-Place (HYSIP) concept for soybean production. Journal of Production Agriculture, 2, 321–324.
Cooper R L. 2003. A delayed flowering barrier to higher soybean yields. Field Crops Research, 82, 27–35.
Cooper R L. 2011. Breeding semi-dwarf soybeans. Plant Breeding Reviews, 3, 289–311.
Cooper R L, Mendiola T. 2004. Registration of 10 determinate semidwarf soybean germplasm lines. Crop Science, 44, 699–700.
Corassa G M, Amado T J C, Strieder M L, Schwalbert R, Pires J L F, Carter P R, Ciampitti I A. 2018. Optimum soybean seeding rates by yield environment in southern Brazil. Agronomy Journal, 110, 2430–2438.
Cox W J, Cherney J H. 2011. Growth and yield responses of soybean to row spacing and seeding rate. Agronomy Journal, 103, 123–128.
Daroish M, Hassan Z, Ahad M. 2005. Influence of planting dates and plant densities on photosynthesis capacity, gain and biological yield of soybean [Glycine max (L.) Merr.] in Karaj, Iran. Journal of Agronomy, 4, 230–237.
Debruin J L, Pedersen P. 2008. Effect of row spacing and seeding rate on soybean yield. Agronomy Journal, 100, 704–710. 
Driever S M, Nes E H V, Roijackers R M M. 2005. Growth limitation of lemna minor due to high plant density. Aquatic Botany, 81, 245–251.
Du W G, Gai J Y. 2014. A discussion on advances in breeding for super high-yielding soybean cultivars. Soil and Crop, 3, 81–92. (in Chinese)
Edwards J T, Purcell L C. 2005. Soybean yield and biomass responses to increasing plant population among diverse maturity groups: I. Agronomic characteristics. Crop Science, 45, 1770–1777.
Egli D B. 2008. Comparison of corn and soybean yields in the United States: historical trends and future prospects, Agronomy Journal, 100, S79–S88.
Ethredge W J, Ashley D A, Woodruff J M. 1989. Row spacing and plant population effects on yield components of soybean. Agronomy Journal, 81, 947–951.
Evenson R E, Gollin D. 2003. Assessing the impact of the green revolution, 1960 to 2000. Science, 300, 758–762.
Fehr W, Caviness C. 1977. Stages of soybean development. Iowa Agricultural and Home Economics Experiment Station Special Report, 80, 1–12.
Franklin K A, Whitelam G C. 2005. Phytochromes and shade-avoidance responses in plants. Annals of Botany, 96, 169–175.
Gao H W, Sun R J, Yang M Y, Yan L, Hu X Z, Fu G H, Hong H L, Guo B F, Zhang X, Liu L K, Zhang S Z, Qiu L J. 2021. Identification of petiole length for soybean compact architecture mutant M657 and breeding of new lines. Journal of Integrative Agriculture, 20, 2508–2520.
Guo M L, Guo T, Wang Z X, Zheng W, Li C D, Zhao H H, Zhang Z Y, Liu Z T. 2019. Radiation mutation breeding of new soybean variety Henong 71 and its high-yielding cultivation. Crop Research, 33, 280–283. (in Chinese)
Holshouser D L, Whittaker J P. 2002. Plant population and row-spacing effects on early soybean production systems in the mid-atlantic USA. Agronomy Journal, 94, 603–611.
Janovicek K J, Deen W, Vyn T J. 2006. Soybean response to zone tillage, twin-row planting, and row spacing. Agronomy Journal, 98, 800–807.
Jun T H, Kang S T. 2012. Genetic map of lps3: A new short petiole gene in soybeans. Genome, 55, 140–146.
Knebel J L, Guimarães V F, Andreotti M, Stangarlin J R. 2006. Influence of row spacing and plant population on late season disease severity, powdery mildew and agronomic characters in soybean. Acta Scientiarum: Agronomy, 28, 385–392.
Liebert J A, Matthew R. 2017. High planting rates improve weed suppression, yield, and profitability in organically-managed, no-till-planted soybean. Weed Technology, 31, 536–549.
Liu B H, Watanabe S, Uchiyama T, Kong F J, Kanazawa A, Xia Z J, Nagamatsu A, Arai M, Yamada T, Kitamura K, Masuta C, Harada K, Abe J. 2010. The soybean stem growth habit gene Dt1 is an ortholog of arabidopsis TERMINAL FLOWER1. Plant Physiology, 153, 198–210.
Liu G Z, Liu W M, Hou P, Ming B, Yang Y S, Guo X X, Xie R Z, Wang K R, Li S K. 2021. Reducing maize yield gap by matching plant density and solar radiation. Journal of Integrative Agriculture, 20, 363–370.
Liu S L, Zhang M, Feng F, Tian Z X. 2020. Toward a “Green Revolution” for Soybean. Molecular Plant, 5, 688–697.
Liu W G, Deng Y C, Hussain S, Zou J L, Yuan J, Luo L, Yang C Y, Yuan X Q, Yang W Y. 2016. Relationship between cellulose accumulation and lodging resistance in the stem of relay intercropped soybean [Glycine max (L.) Men.]. Field Crops Research, 196, 261–267.
Liu X B, Herbert S J, Zhang Q Y, Hashemi A M. 2007. Yield-density relation of glyphosate-resistant soya beans and their responses to light enrichment in north-eastern USA. Journal of Agronomy & Crop Science, 193, 55–62.
Lu W G, Wu C X, Xu C L. 2017. National soybean industry technology system repeatedly sets high-yield record of wheat stubble. Soybean Science&Technology, 5, 1–3. (in Chinese)
Lv H Y, Wang D W, Ge Y Q, Wei X, Deng X D, Yang W C, Tian Z X. 2018. Innovation of soybean breeding industry. Journal of Plant Genetic Resources, 19, 464–467. (in Chinese)
Martinez V P. 2016. Crop lodging induced by wind and rain. Agricultural and Forest Meteorology, 228–229, 265–275.
Masino A, Rugeroni P, Borrás L, Rotundo J L. 2018. Spatial and temporal plant-to-plant variability effects on soybean yield. European Journal of Agronomy, 98, 14–24.
Pedersen P, Lauer J G. 2003. Corn and soybean response to rotation sequence, row spacing, and tillage system. Agronomy Journal, 95, 965–971.
Place G T, Reberg-Horton S C, Dunphy J E, Smith A N. 2009. Seeding rate effects on weed control and yield for organic soybean production. Weed Technology, 23, 497–502.
Qiu L J, Chang R Z, Liu Z X, Guan R X, Li Y H. 2006. Descriptors and data standard for soybean (Glycine spp.). China Agricultural Press, Beijing. pp. 2–6. (in Chinese)
Seed Administration of Ministry of Agriculture and Rural Affairs & National Agricultural Technology Extension Service Center. 2020. National soybean variety test report of 2019. China Agricultural Science and Technology Press. pp. 324, 352. (in Chinese)
Shamsi K, Kobraee S. 2009. Effect of plant density on the growth, yield and yield components of three soybean varieties under climatic conditions of Kermanshah. Iran Journal of Animal & Plant Sciences, 2, 96–99.
Souza C A, Gava F, Casa R T, Bolzan J M, Kuhnem J P R. 2010. Relationship between plant density and soybean roundup ready TM genotypes. Planta Daninha, 28, 887–896.
Spader V, Deschamps C. 2015. Grain yield of soybean cultivars using different densities and sowing dates in a high-altitude region of south Brazil. Semina Ciencias Agrarias, 36, 1823–1834.
Takeda S, Matsuoka M. 2008. Genetic approaches to crop improvement: responding to environmental and population changes. Nature Reviews Genetics, 9, 444–457.
Tang Y, Wang X X, Yu J J. 2018. World soybean production trend and my country’s soybean industry revival strategy. South China Agriculture, 12, 88–92. (in Chinese)
USDA-NASS. 2019. Crop production 2018 summary. [2021-08-07].
Wegerer R, Popp M, Hu X, Purcell L C. 2016. Economic implications of soybean maturity group, Herbicide Program, and Irrigation Requirement. Crop, Forage & Turfgrass Management, 2, 1–11.
Wilson R F. 2010. Outlook for soybeans and soybean products in 21st century markets. Lipid Technology, 22, 199–202.
Xie F T, Dong Z, Wang X G, Sun Y H. 1993. Effect of lodging on soybean yield formation. Soybean Science, 12, 81–85. (in Chinese)
Xie F T, Martin S K T, Zhang H J, Wang H Y. 2011. Improvement of soybean yield and lodging in relation to morphological traits. Crop Research, 41, 64–74.
Zhai L C, Xie R Z, Ming B, Li S K, Ma D L. 2018. Evaluation and analysis of intraspecific competition in maize: A case study on plant density experiment. Journal of Integrative Agriculture, 17, 2235–2244.
Zhang H R, Hao D R, Sitoe H R, Yin Z T, Hu Z B, Zhang G Z. 2015. Genetic dissection of the relationship between plant architecture and yield component traits in soybean (Glycine max) by association analysis across multiple environments. Plant Breeding, 5, 564–572.
Zhang L X, Liu W, Tsegaw M, Xu X, Qi Y P, Sapey E, Liu L P, Wu T T, Sun S, Han T F. 2020. Principles and practices of the photo-thermal adaptability improvement in soybean. Journal of Integrative Agriculture, 19, 295–310.
Zhou R, Wang X Z, Zhang X J, Sha A H, Wu X J, Tu G Y, Qiu D Z, Zhou X A. 2007. Evaluation method of lodging resistance in soybean germplasm. Soybean Science, 26, 484–489. (in Chinese) 
Zhou X B, Yang G M, Sun S J, Chen Y H. 2010. Effect of different plant-row spacing on population structure and PAR interception in sunmmer soybean. Acta Ecologica Sinica, 30, 691–697. (in Chinese)

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