期刊文献+

甜玉米产量相关性状的AMMI模型分析 被引量:1

AMMI model analysis on the traits related to yield of sweet corn
下载PDF
导出
摘要 应用AMMI模型分析方法对福建省2008~2011年连续4年甜玉米区域试验数据进行产量相关性状分析,结果表明:以基因型效应为主的有株高、穗位高、穗长、穗行数,以环境效应为主的有产量、出苗至采收日数、穗粗,以基因型与环境互作效应为主的有行粒数、鲜百粒重;性状的稳定性以穗长、穗粗、穗行数最好,其次为出苗至采收日数、行粒数、鲜百粒重,第三为株高、穗位高,最差为产量;不同性状在不同生态条件下表现出不同的基因型与环境互作效应. The yield-correlated characters of sweet corn were analyzed by AMMI model analyzing method based on the region- al trial data of sweet corn in 2008 -2011 in Fujian. The results showed that plant height, height of ear location, ear length and rows per ear were determined by genotype effect, and the yield, days from emergence to harvesting, ear thickness were determined by environment effect, and grain number per row and fresh weight of 100 grains were determined by genotype ~ environment interaction effect. As the traits stability, the best were ear length, ear thickness and rows per ear, and the sec- ondly were days from emergence to harvesting, grain number per row and fresh weight of 100 grains, and the thirdly were plant height, height of ear location, the poorest was yield. And different traits showed different genotype ~ environment inter- action effect under different ecological condition.
出处 《福建农业科技》 2014年第2期1-6,共6页 Fujian Agricultural Science and Technology
关键词 甜玉米 区域试验 品种 环境 AMMI模型 Sweet corn regional test variety environment AMMI model
  • 相关文献

参考文献3

二级参考文献9

共引文献39

同被引文献25

  • 1张元跃.利用SAS估计动物BLUP育种值[J].中国奶牛,2006(5):20-23. 被引量:10
  • 2郑伟.SHMM模型在大豆品种区域试验中的应用[J].中国农学通报,2007,23(7):207-210. 被引量:6
  • 3Zhao Z,Zhang X,Li L,et al.Using memcached to promote unified user management system. IFIP Adv Inf Commun Technol . 2014
  • 4Negash A W,Mwambi H,Zewotir T,et al.Additive Main Effects and Multiplicative Interactions (AMMI)and genotype by environment interaction (GGE)biplot analysis of multienvironmental wheat variety trials. Afr.J.Agric.Res . 2013
  • 5Kumaresan.D and N. Nadarajan.Genotype x environment interactions for seed yield and its components in sesame (Sesame indicum L.). Electronic Journal of Plant Breeding . 2010
  • 6M.J. Mahasi,R.S. Pathak,F.N. Wachira,T.C. Riungu,M.G. Kinyua,J.K. Waweru.Genotype by Environment (GxE) Interaction and Stability in Safflower ( Carthamus tinctorious L.). Asian Journal of Plant Sciences . 2006
  • 7Babi? Milosav,An?elkovi? Violeta,Babi? Vojka.Genotype by environment interaction in maize breeding. Genetika . 2008
  • 8Environmental classification of maize-testing sites in the SADC region and its implication for collaborative maize breeding strategies in the subcontinent(J)Euphytica . 2005 (1)
  • 9A.Pswarayi,F. A.Van Eeuwijk,S.Ceccarelli,S.Grando,J.Comadran,J. R.Russell,E.Francia,N.Pecchioni,O.Li Destri,T.Akar,A.Al‐Yassin,A.Benbelkacem,W.Choumane,M.Karrou,H.Ouabbou,J.Bort,J. L.Araus,J. L.Molina‐Cano,W. T. B.Thomas,I.Romagosa.??Barley adaptation and improvement in the Mediterranean basin(J)Plant Breeding . 2008 (6)
  • 10Rad, M R Naroui,Kadir, M Abdul,Rafii, M Y,Jaafar, Hawa Z E,Naghavi, M R,Ahmadi, Farzaneh.??Genotype environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought stress conditions(J)Australian Journal of Crop Science . 2013 (7)

引证文献1

二级引证文献6

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