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Acta Agron Sin ›› 2009, Vol. 35 ›› Issue (8): 1483-1490.doi: 10.3724/SP.J.1006.2009.01483

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

Dynamic Analysis of Biomass Accumulation and Partition in Soybean with Different Yield Levels

HUANG Zhong-Wen1,2,ZHAO Tuan-Jie1,GAI Jun-Yi1,*   

  1. 1Soybean Research Institute，Nanjing Agricultural University/National Center for Soybean Improvement/National Key Laboratory for Crop Genetics and Germplasm Enhancement，Nanjing 210095，Jiangsu；2Department of Agronomy,Henan Institute of Science and Technology,Xinxiang 453003,China
  • Received:2008-12-02 Revised:2009-04-21 Online:2009-08-12 Published:2009-06-10
  • Contact: GAI Jun-Yi，E-mail: sri@njau.edu.cn; Tel: 025-84395405

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Abstract:

The dynamic correlation between yield and above- and below-ground biomass and the dynamic partition of biomass of high, medium and low yield lines were studied by using the population of recombinant inbred lines NJRIKY derived from a cross between parents with different biomass and yield potential levels to obtain some information for dynamic control of biomass accumulation in high yield breeding and management of soybean. The results obtained were as follows: (1) Yield was significantly and positively correlated with above- and below-ground biomass accumulation, their correlation increased during the growing stages and the peak correlation occurred at seed filling stage (R5–R6) with r = 0.76 for below-ground biomass and 0.79 for above-ground biomass. (2) The high yield lines (2 500–2 800 kg ha-1) had a significant higher below-ground and above-ground biomass accumulation than the medium yield and low yield lines. Both below- and above-ground biomass accumulation reached the peak at seed filling stage with the highest below-ground biomass of 660–700 kg ha-1 and above-ground biomass of 720–780 kg ha-1 at R5. (3) The composition of high yield lines was not consistent in the two years. Lines with decreased yield had also a decreased biomass, which demonstrated reduction of biomass accumulation caused by different environments was the reason for yield decrease. (4) The dynamic partition of biomass to stem and petiole during growing stages in high yield lines (30.8% and 10.6% at R5, respectively) was significantly higher than that in medium and low yield lines and the dynamic partition of biomass to leaf and root during growing stages in high yield lines (34.1% and 9.7% at R5, respectively) was significantly lower than that in medium and low yield lines. The results implied that the more increase of yield in the future depends on the comprehensive genetic improvement of both biomass and harvest index and the successive advancement of growth regulation technology in soybean.

Key words: Soybean, Yield, Biomass accumulation, Dynamic biomass partition, Dynamic correlation

[1] Boerma H R, Specht J E. Soybeans: Improvement, Production, and Uses, 3rd edn. Madison, WI, USA: ASA, CSSA & SSSA, Inc. Publishers, 2004. p 562
[2] Lugg D G, Sinclair T R. Sensonal changes in photosynthesis of field-grown soybean leaflets: II. Relation to leaflet dimensions. Photosynthtica, 1981, 15: 129-137
[3] Burkey K O, Wells R. Response of soybean photosynthesis and chloroplast membrane function to canopy development and mutual shading. Plant Physiol, 1991, 97: 245-252
[4] Burias N, Planchon C. Increasing soybean productivity through selection for nitrogen fixation. Agron J, 1999, 82: 1031-1034
[5] Pazdernik D L, Graham P H, Orf J H. Variation in pattern of nitrogen accumulation and distribution in soybean. Crop Sci, 1997, 37: 1482-1486
[6] Ronis D H, Sammons D J, Kenworthy W J, Meisinger J J. Heritability of total and fixed N content of the seed in two soybean populations. Crop Sci, 1985, 25: 1-4
[7] Muchow R C, Roberston M J, Pengelly B C. Accumulation and partitioning of biomass and nitrogen by soybean, mungbean and cowpen under contrasting environmental conditions. Field Crop Res, 1993, 33: 13-36
[8] Egli D B, Guffy R D, Heitholt J J. Factors associated with reduced yields of decayed plantings of soybean. J Agron Crop Sci, 1987, 159: 176-185
[9] Board J E, Modali H. Dry matter accumulation predictors for optimal yield in soybean. Crop Sci, 2005, 45: 1790-1799
[10] Niklas K J, Enquist B J. Invariant scaling relationships for interspecific plant biomass production rates and body size. Proc Natl Acad Sci USA,2001, 98: 2922-2927
[11] Shanghai Office of SAS Institute Inc of USA (美国SAS软件研究所上海办事处). SAS Base Manual (SAS基础教程). Shanghai: Shanghai Scientific and Technical Publishers, 1997 (in Chinese)
[12] SPSS Science Marketing Department, SigmaPlot 10 User’s Guide.
[2006-11-10]
[2007-03-10]. Available at http://www.spss.com
[13] Darlington R B. Multiple regression in psychological research and practice. Psycholog Bull, 1968, 69: 161-182
[15] Dong Z(董钻). Yield Physiology of Soybean (大豆产量生理). Beijing: China Agriculture Press, 2000. pp 53-55(in Chinese)
[16] Yang X-H(杨秀红), Wu Z-P(吴宗璞), Zhang G-D(张国栋). Correlations between characteristics of roots and those of aerial parts of soybean varieties. Acta Agron Sin (作物学报), 2002, 28(1): 72-75(in Chinese with English abstract)
[17] Weaver J E. Root Development of Field Crops. New York: McGraw-HiBook Company, 1926. pp 286-291
[18] Rigsby B, Board J E. Identification of soybean cultivars that yield well at low plant population. Crop Sci, 2003, 42: 234-239
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