期刊文献+

利用R语言GGE双标图评价玉米区域试验——以2018年江苏淮北玉米区域试验为例 被引量:16

Application of GGE Biplot Based on R Language in Maize Regional Trial——A Case Study of Maize Regional Trial in 2018 in Huaibei,Jiangsu Province
原文传递
导出
摘要 为分析区域试验参试组合的丰产性、稳产性和适应性及各试验点的鉴别力和代表性,采用R语言GGEBiplotGUI程序包对2018年江苏省淮北区域试验18个品种(对照郑单958)和10个试验点进行分析。结果表明,10个试验点可分为3个“小生态区”,其中,丰县、铜山、邳州、沭阳为一个“小生态区”,淮安、睢宁、宿迁为一个“小生态区”,滨海、岗埠(位于连云港)、淮安金色天华为一个“小生态区”。瑞友288、HT736、X1601、Ly1666丰产性较好,瑞友288不但丰产性好,稳产性也好,其他3个组合稳产性稍差。综合各试验点的鉴别力和代表性,淮安、睢宁、沭阳3个试验点鉴别力强、代表性好;岗埠试验点、淮安金色天华试验点具有较强的鉴别力但代表性较差;宿迁试验点具有较强的代表性但鉴别力较差。 In order to evaluate the yielding ability and stability,and adaptability of different maize varieties,as well as the discrimination and representativeness of test sites in maize regional trial,the GGEBiplotGUI package of free and open-source R language was used to analyze 18 varieties(including Zhengdan958 as the control)and 10 test sites in Huaibei,Jiangsu Province in 2018.The results showed that the 10 test sites were divided into three small“ecological zones”,among which Fengxian,Tongshan,Pizhou and Shuyang were the first group,Huai’an,Su⁃ining and Suqian were the second group,Binhai,Gangbu farm of Lianyungang and Jingsetianhua of Huai’an were the third group.Ruiyou288,HT736,X1601 and Ly1666 had high yields,among which the yield of Ruiyou 288 was high and stable,and the yields of the other three weren’t stable.Three test sites,Huai'an,Suining and Shuyang had good discrimination and representativeness.Gangbu farm of Lianyungang and Jingsetianhua of Huai’an had strong discrimination but poor representativeness.The test site of Suqian had strong representativeness but poor discrimina⁃tion.
作者 曾旭辉 彭宏 蒋厚良 张婕 王波 ZENG Xu-hui;PENG Hong;JIANG Hou-liang;ZHANG Jie;WANG Bo(Jiangsu Mingtian Seed Technology Co.,Ltd.,Nanjing 210014,China)
出处 《玉米科学》 CAS CSCD 北大核心 2020年第5期60-66,共7页 Journal of Maize Sciences
关键词 玉米 R语言 GGE双标图 区域试验 产量 试验点 Corn R language GGE biplot Regional trial Yield Test site
  • 相关文献

参考文献4

二级参考文献76

  • 1尚毅,李少钦,李殿荣,田建华.用双标图分析油菜双列杂交试验[J].作物学报,2006,32(2):243-248. 被引量:52
  • 2王瑛,李求文,王黎明.鄂西南山区玉米杂交品种组合试验初报[J].现代农业科技,2007(14):106-107. 被引量:2
  • 3Lin C S, Binns M R. Concepts and methods of analyzing regional trial data for cultivar and location selection. Plant Breed Rev, 1994, 12:271-297.
  • 4Cooper M, DeLacy I H. Relationship among analytical methods used to study genotypic variation and genotype-by-environment interaction in plant breeding multi-environment experiments. Theor Appl Genet, 1994, 88:561-572.
  • 5Gauch H G, Zobel R W. Identifying mega-environments and targeting genotypes. Crop Sci, 1997, 37:311-326.
  • 6Yan W. GGEbiplot--a Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron J, 2001, 93:1111-1118.
  • 7Yah W, Hunt L A. Biplot analysis of multi-environment trial data. In: Kang M Sed. Quantitative Genetics, Genomics, and Plant Breeding. CAB International, Wallingford, Oxon, UK. 2003. pp 289-303.
  • 8Yan W, Kang M S. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. Boca Raton, FL: CRC Press, 2003.
  • 9Yah W, Tinker N A. Biplot analysis of multi-environment trial data: Principles and applications. Can J Plant Sci, 2006, 86: 623-645.
  • 10Yan W, Kang M S, Ma B L, Woods S, Cornelius P L. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci, 2007, 47:643-655.

共引文献304

同被引文献197

引证文献16

二级引证文献51

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部