Welcome to Acta Agronomica Sinica，

Acta Agron Sin ›› 2011, Vol. 37 ›› Issue (03): 443-451.doi: 10.3724/SP.J.1006.2011.00443

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Analysis of Adaptability of Soybean Mini Core Collections in Huang-Huai Region

LIU Zhang-Xiong1,YANG Chun-Yan2,XU Ran3,LU Wei-Guo4,QIAO Yong1,ZHANG Li-Feng3,CHANG Ru-Zhen1,QIU Li-Juan1   

  1. 1 National Key Facility for Gene Resources and Genetic Improvement / Key Laboratory of Crop Germplasm Utilization, Ministry of Agriculture, Institute of Crop Sciences, Chinese Academy of Agricultural Science, Beijing 100081, China; 2 Institute of Grain and Oil Crops Research, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050031, China; 3 Institute of Crop Sciences, Shandong Academy of Agricultural Sciences, Jinan 250010, China; 4 Institute of industrial Crops Research, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
  • Received:2010-06-28 Revised:2010-09-27 Online:2011-03-12 Published:2010-12-15
  • Contact: 邱丽娟, E-mail: qiu_lijuan@263.net, Tel: 010-82106826

PDF

1220

Cited

4

Abstract: Accurate identification and evaluation of germplasm can enhance its effective use. To evaluate germplasm’s environmental adaptability and stability, we applied the additive main effects and multiplicative interaction (AMMI) model to analyze the two years’ data of the 60 mini core collections of soybean in three provinces in the Huang-Huai region. The results showed that the interactions between the genotypes and environment (G×E) for plant height, effective branch number, 100-seed weight, and yield per unit area were highly significant (P<0.01), and the squares of G×E to total squares were 16.73%–24.57%, suggesting a need of further analysis for the stability of varieties.  The phenotypes of different varieties were dependent on the planting sites, and some germplasm performed wide adaptability while others not in particular environment. The results laid a theoretical foundation to effectively use mini core collection for breeding in Huang-Huai region.

Key words: Soybean, Mini Core Collection, AMMI, Biplot, Regional adaptability

[1]Qiu L-J(邱丽娟), Li Y-H(李英慧), Guan R-X(关荣霞), Liu Z-X(刘章雄), Wang L-X(王丽霞), Chang R-Z(常汝镇). Establishment, representative testing and research progress of soybean core collection and mini core collection. Acta Agron Sin (作物学报), 2009, 35(4): 571–579 (in Chinese with English abstract)
[2]Luan W-J(栾维江), Liu Z-X(刘章雄), Guan R-X(关荣霞), Chang R-Z(常汝镇), He B-R(何蓓如), Qiu L-J(邱丽娟). Representative and genetic diversity at SSR loci for northeast spring sowing soybeans. Chin J Appl Ecol (应用生态学报), 2005, 16(8): 1469–1476(in Chinese with English abstract)
[3]Wang L X, Lin F Y, Luan W J, Li W, Guan R X, Li Y H, Ma Y S, Liu Z X, Chang R Z, Qiu L J. Genetic diversity of Chinese spring soybean germplasm revealed by SSR markers. Plant Breed, 2008, 127: 56–61
[4]Lin F-Y(林凡云), Qiu L-J(邱丽娟), Chang R-Z(常汝镇), He B-R(何蓓如). Genetic diversity of landrace and bred varieties of soybean in Shaanxi Chinese. J Oil Crop Sci (中国油料作物学报), 2003, 25(3): 24–29(in Chinese with English abstract)
[5]Xie H, Guan R X, Chang R Z, Qiu L J. Genetic diversity of the summer soybean germplasm in China revealed by SSR markers. Chin Sci Bull (科学通报), 2005, 50: 526–536(in Chinese)
[6]Guan Y(关媛), E W-D(鄂文弟), Wang L-X(王丽侠), Guan R-X(关荣霞), Liu Z-X(刘章雄), Chang R-Z(常汝镇), Qu Y-Y(曲延英), Qiu L-J(邱丽娟). Analysis of factors influencing the genetic diversity evaluation using two soybean
[Glycine max L. Merr.] collections from Hunan and Hubei. Acta Agron Sin (作物学报), 2007, 33(3): 461–468(in Chinese with English abstract)
[7]Wang L X, Guan Y, Guan R X, Li Y H, Ma Y S, Dong Z M, Liu X, Zhang H Y, Zhang Y Q, Liu Z X, Chang R Z, Xu H M, Li L H, Lin F Y, Luan W J, Ya N Z, Ning X C, Zhu L, Cui Y H, Piao R H, Liu Y, Chen P Y, Qiu L J. Establishment of Chinese soybean (Glycine max) core collections with agronomic traits and SSR markers. Euphytica, 2006, 151: 215–223
[8]Frankel O H, Brown A H D. Current plant genetic resources a critical appraisal. In: Genetics: New Fronetiers (Vol. IV). New Delhi, 1984. pp 112–145
[9]Kempton R A. The use of biplots in interpreting variety by environment interactions. J Agric Sci Camb, 1984, 103: 123–135
[10]Zobel R W, Wright M J, Gauch H G. Statistical analysis of a yield trial. Agron J, 1988, 80: 388–393
[11]Gauch Jr H G. Model selection and validation for yield trials with interaction. Biometrics, 1998, 44: 705–715
[12]Zhang Z(张泽), Lu C(鲁成), Xiang Z-H(向仲怀). Analysis of variety stability based on AMMI model. Acta Agron Sin (作物学报), 1998, 24(3): 304–309 (in Chinese with English abstract)
[13]Zeng X-Y(曾献英). Application of AMMI model to analyze regional trial data of cotton. Cotton Sci (棉花学报), 2004, 16(4): 233–235 (in Chinese with English abstract)
[14]Liu J-H(刘俊恒), Hu N(胡宁), Liu X-P(刘小片), He D-Y(何代元), Ma Z-J(马兆锦), He Q(何琴). Study of AMMI model in data analysis of regional trial of maize. Rain Fed Crops (杂粮作物), 2009, 29 (3): 159–162 (in Chinese with English abstract)
[15]An Y-W(安颖蔚), Gao X-N(高西宁), Ge W-D(葛维德). Application of AMMI model in the analysis of spring wheat regional trial date. J Anhui Agric Sci (安徽农业科学), 2006, 34 (17): 4199–4200 (in Chinese with English abstract)
[16]Qiang A-L(强爱玲), An Y-P(安永平). Application of AMMI model to analyze regional trial data of rice. J Jilin Agric Sci (吉林农业科学), 2007, 32(1): 5–7, 11(in Chinese with English abstract)
[17]Zhang Y(张艳), He Z-H(何中虎), Wang L(王磊), Zhou G-Y(周桂英). Using additive main effects and multiplicative interaction model to analyze genotype and environment effects on protein content of winter wheat in China. Acta Agric Boreali-Sin (华北农学报), 2000, 15(suppl): 31–35 (in Chinese with English abstract)
[18]Liu W-J(刘文江), Li H-J (李浩杰), Wang X-D(汪旭东), Zhou K-D(周开达). Stability analysis for elementary traits of hybrid rice by AMMI model. Acta Agron Sin (作物学报), 2002, 28(4): 569–573 (in Chinese with English abstract)
[19]Guo T-C(郭天财), Ma D-Y(马冬云), Zhu Y-J(朱云集), Wang C-Y(王晨阳), Xia G-J(夏国军), Luo Y(罗毅). Genotype, environment and their interactive effects on main quality traits of Winter-Sown wheat variety. Sci Agric Sin (中国农业科学), 2004, 37(7): 948-953 (in Chinese with English abstract)
[20]Zheng W(郑伟), Liu Y-H(刘玉红), Wang Y-X(王永样), Yu Y(于勇), Wang S-B(王思斌), Liu G-M(刘国民). The application of biplot in yield analysis of soybean regional test. Heilongjiang Agric Sci (黑龙江农业科学), 2005, (6): 5–7 (in Chinese with English abstract)
[21]Chen Z-X(陈志雄), Hu R-F(胡润芳), Lin G-Q(林国强). AMMI model analysis on regional test for new vegetable soybean varieties. Soybean Bull (大豆通报), 2007, (1): 32–33 (in Chinese with English abstract)
[22]Zheng W(郑伟). Analysis on regional test of soybean variety by AMMI model. Heilongjiang Agric Sci (黑龙江农业科学), 2005, (2): 15–17 (in Chinese with English abstract)
[23]Sneller C H, Dombek D. Comparing soybean cultivar ranking and selection for yield with AMMI and full-data performance estimates. Crop Sci, 35: 1536–1541
[24]Sabaghnia N, Sabaghpour S H, Dehghani H. The use of an AMMI model and its parameters to analysis yield stability in multi-environment trials. J Agric Sci, 2008, 146: 571–581
[25]Aremu C O, Adebayo T A, Oyekunle M, Ariyo O J. The relative discriminatory abilities of techniques measuring genotype×environment interaction in soybean (Glycine max L Merr.) in semi-arid and rain forest environments of Nigeria. Agric J, 2007, 2: 210–215
[26]Asfaw A, Alemayehu F, Gurum F, Atnal M. AMMI and SREG GGE biplot analysis for matching varieties onto soybean production environments in Ethiopia. Sci Res Essay, 2009, 4: 1322–1330
[27]Gurmu F, Mohammed H, Alemaw G. Genotype×environment interactions and stability of soybean for grain yield and nutrition quality. African Crop Sci J, 2009, 17: 87–99
[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] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] DU Hao, CHENG Yu-Han, LI Tai, HOU Zhi-Hong, LI Yong-Li, NAN Hai-Yang, DONG Li-Dong, LIU Bao-Hui, CHENG Qun. Improving seed number per pod of soybean by molecular breeding based on Ln locus [J]. Acta Agronomica Sinica, 2022, 48(3): 565-571.
[9] ZHOU Yue, ZHAO Zhi-Hua, ZHANG Hong-Ning, KONG You-Bin. Cloning and functional analysis of the promoter of purple acid phosphatase gene GmPAP14 in soybean [J]. Acta Agronomica Sinica, 2022, 48(3): 590-596.
[10] WANG Juan, ZHANG Yan-Wei, JIAO Zhu-Jin, LIU Pan-Pan, CHANG Wei. Identification of QTLs and candidate genes for 100-seed weight trait using PyBSASeq algorithm in soybean [J]. Acta Agronomica Sinica, 2022, 48(3): 635-643.
[11] ZHANG Guo-Wei, LI Kai, LI Si-Jia, WANG Xiao-Jing, YANG Chang-Qin, LIU Rui-Xian. Effects of sink-limiting treatments on leaf carbon metabolism in soybean [J]. Acta Agronomica Sinica, 2022, 48(2): 529-537.
[12] YU Tao-Bing, SHI Qi-Han, NIAN-Hai , LIAN Teng-Xiang. Effects of waterlogging on rhizosphere microorganisms communities of different soybean varieties [J]. Acta Agronomica Sinica, 2021, 47(9): 1690-1702.
[13] SONG Li-Jun, NIE Xiao-Yu, HE Lei-Lei, KUAI Jie, YANG Hua, GUO An-Guo, HUANG Jun-Sheng, FU Ting-Dong, WANG Bo, ZHOU Guang-Sheng. Screening and comprehensive evaluation of shade tolerance of forage soybean varieties [J]. Acta Agronomica Sinica, 2021, 47(9): 1741-1752.
[14] CAO Liang, DU Xin, YU Gao-Bo, JIN Xi-Jun, ZHANG Ming-Cong, REN Chun-Yuan, WANG Meng-Xue, ZHANG Yu-Xian. Regulation of carbon and nitrogen metabolism in leaf of soybean cultivar Suinong 26 at seed-filling stage under drought stress by exogenous melatonin [J]. Acta Agronomica Sinica, 2021, 47(9): 1779-1790.
[15] ZHANG Ming-Cong, HE Song-Yu, QIN Bin, WANG Meng-Xue, JIN Xi-Jun, REN Chun-Yuan, WU Yao-Kun, ZHANG Yu-Xian. Effects of exogenous melatonin on morphology, photosynthetic physiology, and yield of spring soybean variety Suinong 26 under drought stress [J]. Acta Agronomica Sinica, 2021, 47(9): 1791-1805.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Add: No. 80 Xueyuan South Rd, Beijing 100081, P. R. China E-mail: zwxb301@caas.cn
Supported by Beijing Magtech Co.Ltd