Welcome to Acta Agronomica Sinica,

Acta Agron Sin ›› 2014, Vol. 40 ›› Issue (01): 7-16.doi: 10.3724/SP.J.1006.2014.00007


Correlation and Association Analysis between Biomass and Yield Components in Soybean

CHAO Mao-Ni1,**,HAO De-Rong2,**,YIN Zhi-Tong3,ZHANG Jin-Yu1,SONG Hai-Na1,ZHANG Huai-Ren1,CHU Shan-Shan1,ZHANG Guo-Zheng1,YU De-Yue1,*   

  1. 1 National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China; 2 Jiangsu Yanjiang Institute of Agricultural Sciences, Nantong 226541, China; 3 Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
  • Received:2013-06-05 Revised:2013-09-16 Online:2014-01-12 Published:2013-10-22
  • Contact: 喻德跃, E-mail: dyyu@njau.edu.cn, Te1: 025-84396410, Fax: 025-84395405 E-mail:2011201044@njau.edu.cn


Biomass, one of the main factors that determine the effective economic yield, has an important effect on the final seed yield. In this study, a genome-wide association analysis was conducted to detect key single-nucleotide polymorphisms (SNPs) associated with biomass and yield components using 1142 SNPs in a soybean landraces panel. There existed abundant phenotypic and genetic diversities and significant correlations among biomass and yield components in the population, and the correlation between biomass and seed yield was slightly higher than that between biomass and seed weight. Genome-wide association analysis using a mixed linear model detected 41, 56, and 29 SNPs associated with biomass, seed weight and seed yield respectively. Among them, 6, 19, and 1 SNPs were detected in two environments. In addition, 15 SNPs were found co-associated with two or more different traits and BARC-029051-06057 on chromosome 19 was associated with the three traits, which implies a partially common genetic basis for the three traits. Many SNPs detected in our study were found co-associated with soybean chlorophyll, chlorophyll fluorescence parameters and yield components in our previous study. The identification of these significant SNPs will be helpful to better understand the genetic basis of biomass and yield components, and facilitate the pyramiding of favorable alleles for future high-yield breeding by marker-assisted selection in soybean.

Key words: Single nucleotide polymorphisms (SNP), Photosynthesis, Yield, Soybean, Natural population

[1]周恩远, 刘丽君, 祖伟, 孙聪姝. 春大豆农艺性状与品质相关关系的研究. 东北农业大学报, 2008, 39: 145–149

Zhou E Y, Liu L J, Zu W, Sun C S. Study on relationship between agronomic traits and quality traits in spring soybean. J Northeast Agric Univ, 2008, 39: 145–149 (in Chinese with English abstract)

[2]马占峰, 赵淑文, 杨琪, 邹玉梅. 生物产量──大豆高产育种的物质基础. 东北农业大学学报, 1995, 26: 125–130

Ma Z F, Zhao S W, Yao Q, Zhou Y M. Biological yeild─physical basis of soyeban high yeild breeding. J Northeast Agric Univ, 1995, 26: 125–130 (in Chinese with English abstract).

[3]杨胜荣, 黄宗洪, 向关伦, 甘雨, 杨占烈, 潘建慧, 郭慧. 以提高生物产量为途径选育杂交水稻新组合. 农技服务, 2010: 1267–1269

Yang S R, Huang Z H, Xiang G L, Gan Y, Yang Z L, Pan J H, Guo H. Selestive new combinations of hybrid rice by raising biological production. Agric Technol Ser, 2010, 1267–1269 (in Chinese with English abstract).

[4]Austin R B, Ford M A, Morgan C L. Genetic improvement in the yield of winter wheat: a further evaluation. J Agric Sci, 1989, 112: 295–301

[5]Fischer R A, Rees D, Sayre K D, Lu Z M, Condon A G, Saavedra A L. Wheat yield progress associated with higher stomatal conductance and photosynthetic rate, and cooler canopies. Crop Sci, 1998, 38: 1467–1475

[6]Jin J, Liu X, Wang G, Mi L, Shen Z, Chen X, Herbert S J. Agronomic and physiological contributions to the yield improvement of soybean cultivars released from 1950 to 2006 in Northeast China. Field Crops Res, 2010, 115: 116–123

[7]Parry M A J, Reynolds M, Salvucci M E, Raines C, Andralojc P J, Zhu X G, Price G D, Condon A G, Furbank R T. Raising yield potential of wheat: II. Increasing photosynthetic capacity and efficiency. J Exp Bot, 2011, 62: 453–467

[8]黄中文, 赵团结, 盖钧镒. 大豆不同产量水平生物量积累与分配的动态分析. 作物学报, 2009, 35: 1483–1490

Huang Z W, Zhao T J, Gai J Y. Dynamic analysis of biomass accumulation and partition in Soybean with different yield levels. Acta Agron Sin, 2009, 35: 1483–1490 (in Chinese with English abstract).

[9]Board J E, Modali H. Dry matter accumulation predictors for optimal yield in soybean. Crop Sci, 2005, 45: 1790–1799

[10]Orf J H, Chase K, Adler F R, Mansur L M, Lark K G. Genetics of soybean agronomic traits: II. Interactions between yield quantitative trait loci in soybean. Crop Sci, 1999, 39: 1652–1657

[11]Yuan J, Njiti V N, Meksem K, Iqbal M J, Triwitayakorn K, Kassem M A, Davis G T, Schmidt M E, Lightfoot D A. Quantitative trait loci in two soybean recombinant inbred line populations segregating for yield and disease resistance. Crop Sci, 2002, 42: 271–277

[12]Kabelka E A, Diers B W, Fehr W R, LeRoy A R, Baianu I C, You T, Neece D J, Nelson R L. Putative alleles for increased yield from soybean plant introductions. Crop Sci, 2004, 44: 784–791

[13]Guzman P S, Diers B W, Neece D J, St Martin S K, LeRoy A R, Grau C R, Hughes T J, Nelson R L. QTL associated with yield in three backcross-derived populations of soybean. Crop Sci, 2007, 47: 111–122

[14]Palomeque L, Li-Jun L, Li W, Hedges B, Cober E R, Rajcan I. QTL in mega-environments: I. Universal and specific seed yield QTL detected in a population derived from a cross of high-yielding adapted× high-yielding exotic soybean lines. Theor Appl Genet, 2009, 119: 417–427

[15]Hao D, Cheng H, Yin Z, Cui S, Zhang D, Wang H, Yu D. Identification of single nucleotide polymorphisms and haplotypes associated with yield and yield components in soybean (Glycine max) landraces across multiple environments. Theo Appl Genet, 2012, 124: 447–458

[16]黄中文, 赵团结, 喻德跃, 陈受宜, 盖钧镒. 大豆生物量积累、收获指数及产量间的相关与QTL分析. 作物学报, 2008, 34: 944–951

Huang Z W, Zhao T J, Yu D Y, Chen S Y, Gai J Y. Correlation and QTL mapping of biomass accumulation, apparent harvest index, and yield in soybean. Acta Agron Sin, 2008, 34: 944–951 (in Chinese with English abstract).

[17]印志同, 宋海娜, 孟凡凡, 许晓明, 喻德跃. 大豆光合气体交换参数的QTL分析. 作物学报, 2009, 36: 92–100

Yin Z T, Song H N, Meng F F, Xu X M, Yu D Y. QTL mapping for photosynthetic gas-exchange parameters in soybean. Acta Agron Sin, 2009, 36: 92–100 (in Chinese with English abstract)

[18]Ainsworth E A, Yendrek C R, Skoneczka J A, Long S P. 2011. Accelerating yield potential in soybean: potential targets for biotechnological improvement. Plant Cell Environ, 35: 38–52

[19]Hao D, Chao M, Yin Z, Yu D. Genome-wide association analysis detecting significant single nucleotide polymorphisms for chlorophyll and chlorophyll fluorescence parameters in soybean (Glycine max) landraces. Euphytica, 2012: 1–13

[20]张贤泽, 马占峰, 赵淑文, 庞士铨. 大豆不同品种光合速率与产量关系的研究. 作物学报, 1986: 43–48

Zhang Z X, Ma Z F, Zhao S W, Pang S C. The relationship between net photosynthetic rate and yield formation in soybean. Acta Agron Sin, 1986: 43–48 (in Chinese with English abstract)

[21]杜维广, 张桂茹, 满为群, 栾晓燕, 陈怡, 谷秀芝. 大豆科学, 1999, 18: 154–159

Du W G, Zhang G R, Man W Q, Luan X Y, Chen Y, Gu X Z. Study on relationship between soybean photosynthesis and yield. Soybean Sci, 1999, 18: 154–159 (in Chinese with English abstract)

[22]Mehetre S S, Jamadagni B M. Biomass partitioning and growth characters in relation to plant architecture in soybean. Soybean Genet Newsl, 1996, 23: 92–97

[23]Schneeberger K, Weigel D. Fast-forward genetics enabled by new sequencing technologies. Trends Plant Sci, 2011, 16: 282–288

[24]Fulton T M, Beck-Bunn T, Emmatty D, Eshed Y, Lopez J, Petiard V, Uhlig J, Zamir D, Tanksley S D. QTL analysis of an advanced backcross of lycopersicon peruvianum to the cultivated tomato and comparisons with QTLs found in other wild species. Theo Appl Genet, 1997, 95: 881–894

[25]Thumma B R, Naidu B P, Chandra A, Cameron D F, Bahnisch L M, Liu C. Identification of causal relationships among traits related to drought resistance in Stylosanthes scabra using QTL analysis. J Exp Bot, 2001, 52: 203–214

[26]龚月桦, 高俊凤. 高等植物光合同化物的运输与分配. 西北植物学报, 1999, 19: 564–570

Gong Y H, Gao J F. Transport and partitioning of photoassimilate in higher plant. Acta Bot Boreal-Occident Sin, 1999, 19: 564–570 (in Chinese with English abstract)

[27]王玲玲, 杜吉到, 郑殿峰, 宋微微, 陈丽霞, 田静斋, 吕美芳. 大豆源库流关系的研究进展. 大豆科学, 2009, 28: 167–171

Wang L L, Du J D, Zheng D F, Song W W, Chen L X, Tian J Z, Lü M F. Advances in the studies of relation among source sink and flux of soybean. Soybean Sci, 2009, 28: 167–171 (in Chinese with English abstract)

[28]Liu W, Fu Y, Hu G, Si H, Zhu L, Wu C, Sun Z. Identification and fine mapping of a thermo-sensitive chlorophyll deficient mutant in rice (Oryza sativa L.). Planta, 2007, 226: 785–795

[29]印志同, 孟凡凡, 宋海娜, 晁毛妮, 许晓明, 邓德祥, 喻德跃: 大豆开花盛期快速叶绿素荧光参数的 QTL 分析. 中国农业科学, 2011, 44: 4980–4987

Yin Z T, Meng F F, Song H N, Chao M N, Xu X M, Deng D X, Yu D Y. QTL mapping for fast chlorophyll fluorescence parameters in soybean. Sci Agric Sin, 2011, 44: 4980–4987 (in Chinese with English abstract)

[30]Flood P J, Harbinson J, Aarts M G M. Natural genetic variation in plant photosynthesis. Trends Plant Sci, 2011, 16: 327–335

[31]Lefebvre S, Lawson T, Fryer M, Zakhleniuk O V, Lloyd J C, Raines C A. Increased sedoheptulose-1, 7-bisphosphatase activity in transgenic tobacco plants stimulates photosynthesis and growth from an early stage in development. Plant Physiol, 2005, 138: 451–460

[32]Orf J H, Chase K, Jarvik T, Mansur L M, Cregan P B, Adler F R, Lark K G. Genetics of soybean agronomic traits: I. Comparison of three related recombinant inbred populations. Crop Sci, 1999, 39: 1642–1651

[33]黄中文, 赵团结, 喻德跃, 陈受宜, 盖钧镒. 大豆产量有关性状QTL的检测. 中国农业科学, 2009, 42: 4155–4165

Huang Z W, Zhao T J, Yu D Y, Chen S Y, Gai J Y. Detection of QTLs of yield related traits in soybean. Sci Agric Sin, 2009, 42: 4155–4165 (in Chinese with English abstract)

[34]Kim H K, Kang S T, Suh D Y. Analysis of quantitative trait loci associated with leaflet types in two recombinant inbred lines of soybean. Plant Breed, 2005, 124: 582–589

[35]Specht J E, Chase K, Macrander M, Graef G L, Chung J, Markwell J P, Germann M, Orf J H, Lark K G. Soybean response to water: a QTL analysis of drought tolerance. Crop Sci, 2001, 41: 493–509

[36]Mian M A R, Bailey M A, Tamulonis J P, Shipe E R, Carter T E, Parrott W A, Ashley D A, Hussey R S, Boerma H R. Molecular markers associated with seed weight in two soybean populations. Theo Appl Genet, 1996, 93: 1011–1016

[37]Csanadi G, Vollmann J, Stift G, Lelley T. Seed quality QTLs identified in a molecular map of early maturing soybean. Theo Appl Genet, 2001, 103: 912–919

[38]Lee S H, Park K Y, Lee H S, Park E H, Boerma H R. Genetic mapping of QTLs conditioning soybean sprout yield and quality. Theo Appl Genet, 2001, 103: 702–709

[39]Guzman P S, Diers, B W, Neece D J, St Martin S K, LeRoy A R, Grau C R, Hughes T J, Nelson R L. QTL associated with yield in three backcross-derived populations of soybean. Crop Sci, 2007, 47: 111–122

[40]Funatsuki H, Kawaguchi K, Matsuba S, Sato Y, Ishimoto M. Mapping of QTL associated with chilling tolerance during reproductive growth in soybean. Theo Appl Genet, 2005, 111: 851–861

[41]Hoeck J A, Fehr W R, Shoemaker R C, Welke G A, Johnson S L, Cianzio S R. Molecular marker analysis of seed size in soybean. Crop Sci, 2003, 43: 68–74

[42]Hyten D L, Pantalone V R, Sams C E, Saxton A M, Landau-Ellis D, Stefaniak T R, Schmidt M E. Seed quality QTL in a prominent soybean population. Theo Appl Genet, 2004, 109: 552–561

[1] CHEN Ling-Ling, LI Zhan, LIU Ting-Xuan, GU Yong-Zhe, SONG Jian, WANG Jun, QIU Li-Juan. Genome wide association analysis of petiole angle based on 783 soybean resources (Glycine max L.) [J]. Acta Agronomica Sinica, 2022, 48(6): 1333-1345.
[2] WANG Dan, ZHOU Bao-Yuan, MA Wei, GE Jun-Zhu, DING Zai-Song, LI Cong-Feng, ZHAO Ming. Characteristics of the annual distribution and utilization of climate resource for double maize cropping system in the middle reaches of Yangtze River [J]. Acta Agronomica Sinica, 2022, 48(6): 1437-1450.
[3] WANG Wang-Nian, GE Jun-Zhu, YANG Hai-Chang, YIN Fa-Ting, HUANG Tai-Li, KUAI Jie, WANG Jing, WANG Bo, ZHOU Guang-Sheng, FU Ting-Dong. Adaptation of feed crops to saline-alkali soil stress and effect of improving saline-alkali soil [J]. Acta Agronomica Sinica, 2022, 48(6): 1451-1462.
[4] YAN Jia-Qian, GU Yi-Biao, XUE Zhang-Yi, ZHOU Tian-Yang, GE Qian-Qian, ZHANG Hao, LIU Li-Jun, WANG Zhi-Qin, GU Jun-Fei, YANG Jian-Chang, ZHOU Zhen-Ling, XU Da-Yong. Different responses of rice cultivars to salt stress and the underlying mechanisms [J]. Acta Agronomica Sinica, 2022, 48(6): 1463-1475.
[5] YANG Huan, ZHOU Ying, CHEN Ping, DU Qing, ZHENG Ben-Chuan, PU Tian, WEN Jing, YANG Wen-Yu, YONG Tai-Wen. Effects of nutrient uptake and utilization on yield of maize-legume strip intercropping system [J]. Acta Agronomica Sinica, 2022, 48(6): 1476-1487.
[6] CHEN Jing, REN Bai-Zhao, ZHAO Bin, LIU Peng, ZHANG Ji-Wang. Regulation of leaf-spraying glycine betaine on yield formation and antioxidation of summer maize sowed in different dates [J]. Acta Agronomica Sinica, 2022, 48(6): 1502-1515.
[7] LI Yi-Jun, LYU Hou-Quan. Effect of agricultural meteorological disasters on the production corn in the Northeast China [J]. Acta Agronomica Sinica, 2022, 48(6): 1537-1545.
[8] SHI Yan-Yan, MA Zhi-Hua, WU Chun-Hua, ZHOU Yong-Jin, LI Rong. Effects of ridge tillage with film mulching in furrow on photosynthetic characteristics of potato and yield formation in dryland farming [J]. Acta Agronomica Sinica, 2022, 48(5): 1288-1297.
[9] YU Chun-Miao, ZHANG Yong, WANG Hao-Rang, YANG Xing-Yong, DONG Quan-Zhong, XUE Hong, ZHANG Ming-Ming, LI Wei-Wei, WANG Lei, HU Kai-Feng, GU Yong-Zhe, QIU Li-Juan. Construction of a high density genetic map between cultivated and semi-wild soybeans and identification of QTLs for plant height [J]. Acta Agronomica Sinica, 2022, 48(5): 1091-1102.
[10] LI A-Li, FENG Ya-Nan, LI Ping, ZHANG Dong-Sheng, ZONG Yu-Zheng, LIN Wen, HAO Xing-Yu. Transcriptome analysis of leaves responses to elevated CO2 concentration, drought and interaction conditions in soybean [Glycine max (Linn.) Merr.] [J]. Acta Agronomica Sinica, 2022, 48(5): 1103-1118.
[11] PENG Xi-Hong, CHEN Ping, DU Qing, YANG Xue-Li, REN Jun-Bo, ZHENG Ben-Chuan, LUO Kai, XIE Chen, LEI Lu, YONG Tai-Wen, YANG Wen-Yu. Effects of reduced nitrogen application on soil aeration and root nodule growth of relay strip intercropping soybean [J]. Acta Agronomica Sinica, 2022, 48(5): 1199-1209.
[12] YAN Xiao-Yu, GUO Wen-Jun, QIN Du-Lin, WANG Shuang-Lei, NIE Jun-Jun, ZHAO Na, QI Jie, SONG Xian-Liang, MAO Li-Li, SUN Xue-Zhen. Effects of cotton stubble return and subsoiling on dry matter accumulation, nutrient uptake, and yield of cotton in coastal saline-alkali soil [J]. Acta Agronomica Sinica, 2022, 48(5): 1235-1247.
[13] KE Jian, CHEN Ting-Ting, WU Zhou, ZHU Tie-Zhong, SUN Jie, HE Hai-Bing, YOU Cui-Cui, ZHU De-Quan, WU Li-Quan. Suitable varieties and high-yielding population characteristics of late season rice in the northern margin area of double-cropping rice along the Yangtze River [J]. Acta Agronomica Sinica, 2022, 48(4): 1005-1016.
[14] WANG Hao-Rang, ZHANG Yong, YU Chun-Miao, DONG Quan-Zhong, LI Wei-Wei, HU Kai-Feng, ZHANG Ming-Ming, XUE Hong, YANG Meng-Ping, SONG Ji-Ling, WANG Lei, YANG Xing-Yong, QIU Li-Juan. Fine mapping of yellow-green leaf gene (ygl2) in soybean (Glycine max L.) [J]. Acta Agronomica Sinica, 2022, 48(4): 791-800.
[15] LI Rui-Dong, YIN Yang-Yang, SONG Wen-Wen, WU Ting-Ting, SUN Shi, HAN Tian-Fu, XU Cai-Long, WU Cun-Xiang, HU Shui-Xiu. Effects of close planting densities on assimilate accumulation and yield of soybean with different plant branching types [J]. Acta Agronomica Sinica, 2022, 48(4): 942-951.
Full text



No Suggested Reading articles found!