GGE双标图模型在玉米新品种测试中的应用
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摘要
利用GenStat软件对2017年春玉米区24个中熟新品种的多点测试进行分析,基于GGE双标图模型分析表明,各试验点中以吉林省公主岭柳阳鉴定点具有较强的品种区分能力,吉林省公主岭铁北区鉴定点最具有代表性,甘肃省武威靖远县不适合作为此试验的鉴定地。GGE双标图丰产性稳产型表明,吉单37表现最为突出。基于相邻标准法分析表明,农华218、吉单37表现最好。综合分析,GGE双标图在品种产量评价方面与相邻标准法结果基本一致,且GGE双标图可以更加全面有效地评估品种和试验地点。
Field-testing is the core link of breeding. The application of scientific data analysis methods to evaluate yield tests is an effective way to identify suitable high-yielding, stable-yielding and good-quality maize varieties. GenStat data processing system was used to analyze the 24 maize varieties in the mid-maturity area in 2017.The analysis of each test point showed that the identification site in Liuyang of Jilin province has strong ability to distinguish varieties, and Gongzhuling of Jilin province was the most representative, but Wuwei of Gansu province was not suitable for the identification of this test. The GGE-biplot showed that the performance of Jidan 37 is outstanding. Use of the adjacent standard method showed that Nonghua218 and Jidan 37 performed the best. The comprehensive analysis showed that the GGE-biplot is basically the same as the results of the adjacent standard method in evaluating the yield of varieties, and the GGE-biplot could more comprehensively and effectively evaluate varieties and sites.
Field-testing is the core link of breeding. The application of scientific data analysis methods to evaluate yield tests is an effective way to identify suitable high-yielding, stable-yielding and good-quality maize varieties. GenStat data processing system was used to analyze the 24 maize varieties in the mid-maturity area in 2017.The analysis of each test point showed that the identification site in Liuyang of Jilin province has strong ability to distinguish varieties, and Gongzhuling of Jilin province was the most representative, but Wuwei of Gansu province was not suitable for the identification of this test. The GGE-biplot showed that the performance of Jidan 37 is outstanding. Use of the adjacent standard method showed that Nonghua218 and Jidan 37 performed the best. The comprehensive analysis showed that the GGE-biplot is basically the same as the results of the adjacent standard method in evaluating the yield of varieties, and the GGE-biplot could more comprehensively and effectively evaluate varieties and sites.
引文
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[15]王磊,程本义,鄂志国,等.基于GGE双标图的水稻区试品种丰产性、稳产性和适应性评价[J].中国水稻科学,2015,29(4):408-416.Wang L,Cheng B Y,E Z G,et al.Use of GGE biplot in the yielding ability,stability and adaption evaluation for the varieties in the rice regional trials[J].Chin.J.Rice Sci.,2015,29(4):408-416.(in Chinese)
[16]张志芬,付晓峰,刘俊青,等.用GGE双标图分析燕麦区域试验品系产量稳定性及试点代表性[J].作物学报,2010,36(8):1377-1385.Zhang Z F,Fu X F,Liu J Q,et al.Yield stability and testing-site representativeness in national regional trials for oat lines based on GGE-biplot analysis[J].Acta Agronomica Sinica,2010,36(8):1377-1385.(in Chinese)
[17]王兵伟,覃嘉明,郑加兴,等.一年两季鲜食糯玉米区域试验的GGE双标图分析[J].南方农业学报,2017,48(11):1961-1968.Wang B W,Qin J M,Zheng J X,et al.GGE biplot analysis on regional trial of fresh-eaten waxy maize with two seasons per year[J].Journal of Southern Agriculture,2017,48(11):1961-1968.(in Chinese)
[2]赵祖亮,曲艺伟,刘哲,等.玉米产量的品种与环境互作效应空间分布规律[J].农业工程学报,2015,31(24):232-238.Zhao Z L,Qu Y W,Liu Z,et al.Spatial distribution of interaction effect between variety and environment on maize yield[J].Transactions of the Chinese Society of Agricultural Engineering,2015,31(24):232-238.(in Chinese)
[3]Yan W,Tinker N A.Biplot analysis of multi-environment trial data:Principles and applications[J].Can J.Plant Sci.,2006,86:623-645.
[4]Yan W,Kang M S,Ma B L,et al.AMMI analysis of genotype-by-environment data[J].Crop Sci.,2007,47:643-655.
[5]Ofori A P,Ofori K,Obeng-Antwi K,et al.Genetic analysis of single cross Quality Protein Maize(QPM)hybrids[J].Journal of Plant Breeding and Crop Science,2015,7(8):251-255.
[6]Gauch H G Jr,Piepho H P,Annicchiarico P.Statistical analysis of yield trials by AMMI and GGE:further considerations[J].Crop Sci.,2008,48:866-889.
[7]Gauch H G Jr,Piepho H P,Annicchiarico P.Statistical analysis of yield trials by AMMI and GGE:further considerations[J].Crop Sci.,2008,48:866-889.
[8]Gauch H G Jr.Statistical analysis of yield trials by AMMI and GGE[J].Crop Sci.,2006,46:1488-1500.
[9]罗俊,张华,邓祖湖,等.应用GGE双标图分析甘蔗品种(系)的产量和品质性状[J].作物学报,2013,39(1):142-152.Luo J,Zhang H,Deng Z H,et al.Analysis of yield and quality traits in sugarcane varieties(lines)with GGE-Biplot[J].Acta Agronomica Sinica 2013,39(1):142-152.(in Chinese)
[10]Gauch H G Jr.Statistical analysis of yield trials by AMMI and GGE[J].Crop Sci.,2006,46:1488-1500.
[11]严威凯.双标图分析在农作物品种多点试验中的应用[J].作物学报,2010,36(11):1805-1819.Yan W K.Optimal use of biplots in analysis of multi-Location variety test data[J].Acta Agron.Sin.,2010,36(11):1805-1819.(in Chinese)
[12]Yan W,Holland J B.A heritability-adjusted GGE Biplot for test environment evaluation[J].Euphytica,2010,171:355-369.
[13]柳娜,曹东,王世红,等.基于GGE双标图的甘肃春小麦区试品系稳产性和试点代表性分析[J].西北农林科技大学学报(自然科学版),2018(4):1-9.Liu N,Cao D,Wang S H,et al.Yield stability and testing-site representativeness of regional trials for spring wheat lines in Gansu based on GGE-biplot[J].Journal of Northwest A&F University(Nat.Sci.Ed.),2018(4):1-9.(in Chinese)
[14]严威凯,盛庆来,胡跃高,等.GGE叠图法─分析品种×环境互作模式的理想方法[J].作物学报,2001,27(1):21-27.Yan W K,Sheng Q L,Hu Y G,et al.GGE biplot:all ideal tool for studying genotype by environment interaction of regional yield trial data[J].Acta Agron.Sin.,2001,27(1):21-27.(in Chinese)
[15]王磊,程本义,鄂志国,等.基于GGE双标图的水稻区试品种丰产性、稳产性和适应性评价[J].中国水稻科学,2015,29(4):408-416.Wang L,Cheng B Y,E Z G,et al.Use of GGE biplot in the yielding ability,stability and adaption evaluation for the varieties in the rice regional trials[J].Chin.J.Rice Sci.,2015,29(4):408-416.(in Chinese)
[16]张志芬,付晓峰,刘俊青,等.用GGE双标图分析燕麦区域试验品系产量稳定性及试点代表性[J].作物学报,2010,36(8):1377-1385.Zhang Z F,Fu X F,Liu J Q,et al.Yield stability and testing-site representativeness in national regional trials for oat lines based on GGE-biplot analysis[J].Acta Agronomica Sinica,2010,36(8):1377-1385.(in Chinese)
[17]王兵伟,覃嘉明,郑加兴,等.一年两季鲜食糯玉米区域试验的GGE双标图分析[J].南方农业学报,2017,48(11):1961-1968.Wang B W,Qin J M,Zheng J X,et al.GGE biplot analysis on regional trial of fresh-eaten waxy maize with two seasons per year[J].Journal of Southern Agriculture,2017,48(11):1961-1968.(in Chinese)