Chinese Journal OF Rice Science >
Use of GGE Biplots in the Yielding Ability, Stability and Adaptation Evaluation for the Varieties in the Rice Regional Trials
Received date: 2014-09-19
Revised date: 2014-11-19
Online published: 2015-07-10
Crop regional trial is an important part of the crop breeding, registering and extension for new varieties. AMMI models and GGE biplots are very effective in the date analysis of the crop regional trial, especially in the evaluation of yielding ability, stability and adaptation for the tested varieties, while GGE biplots have gain more popularity in recent years. This article introduced GGE biplots, and used a data set from 2012 trial group B of the early maturity for late season indica rice in Southern China Rice Regional Trials as an example to demonstrate its effectiveness in the evaluation of yielding ability, stability and adaptation for the tested varieties. The paper also discussed the points for attentions or precautions in the application of the GGE biplots.
Lei WANG, Ben-yi CHENG, Zhi-guo E, Shi-hua YANG . Use of GGE Biplots in the Yielding Ability, Stability and Adaptation Evaluation for the Varieties in the Rice Regional Trials[J]. Chinese Journal OF Rice Science, 2015 , 29(4) : 408 -416 . DOI: 10．3969/j．issn．1001G7216．2015．04．010
| [1] | 张群远, 孔繁玲, 廖琴, 等. 作物品种区域试验的评价体系及评价方法. 农业系统科学与综合研究, 2000, 16(2): 81-86. |
| [2] | 杨仕华, 廖琴. 中国水稻品种试验与审定. 北京: 中国农业科学出版社, 2005. |
| [3] | 杨仕华, 魏兴华. 水稻新品种评价体系//程式华, 李建. 现代中国水稻. 北京: 金盾出版社, 2007: 325-360. |
| [4] | Gauch H G.Model selection and validation for yield trials with interaction.Biometrics, 1988, 44: 705-715. |
| [5] | Gauch H G, Zobel R W.Predictive and postdictive success of statistical analyses of yield trials.Theor Appl Genet, 1988, 76: 1-10. |
| [6] | Gauch H G.1992. 产量区域试验统计分析-因子设计的AMMI分析. 王磊, 张群远, 张冬晓, 译, 2001. 北京: 中国农业科技出版社. |
| [7] | Cooper M, Hammer G L.Plant adaptation and crop improvement, Wilingford, UK. CAB International, 1996. |
| [8] | Gauch H G, Zobel R W.Identifying mega-environmnets and targeting genotypes.Crop Sci, 1997, 37: 311-326. |
| [9] | Kempton R A, Fox P N.Statistical methods for plant variety evaluation. London: Chapman&Hall, 1997 |
| [10] | 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. 作物学报, 2001, 27(1): 21-28. |
| [11] | Yan W K, Tinker N A.Biplot analysis of multi-environment trial data: Principles and applications.Can J Plant Sci, 2006, 86: 623-645. |
| [12] | 严威凯. 双标图分析在农作物品种多点试验中的应用. 作物学报, 2010, 36(11): 1805-1819. |
| [13] | 常磊, 柴守玺. GGE双标图在我国旱地春小麦稳产性分析中的应用. 中国生态农业学报, 2010, 18(5): 988-994. |
| [14] | 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. 作物学报, 2013, 39(1): 142-152. |
| [15] | 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. 作物学报, 2010, 36(8): 1377-1385. |
| [16] | 陈四龙, 李玉荣, 程增书, 等. 用GGE双标图分析种植密度对高油花生生长和产量的影响. 作物学报, 2009, 35(7): 1328-1335. |
| [17] | 尚毅, 李少钦, 李殿荣, 等. 用双标图分析油菜双列杂交试验. 作物学报, 2006, 32(2): 243-248. |
| [18] | 许乃银, 张国伟, 李健, 等. 基于GGE双标图和比强度选择的棉花品种生态区划分. 中国生态农业学报, 2012, 20(11): 1500-1507. |
| [19] | 许乃银, 张国伟, 李健, 等. 基于HA-GGE双标图的长江流域棉花区域试验环境评价. 作物学报, 2012, 38(12): 2229-2236. |
| [20] | 许乃银, 张国伟, 李健, 等. 基于GGE双标图的棉花品种生态区划分. 应用生态学报, 2013, 24(3): 771-776. |
| [21] | 许乃银, 张国伟, 李健, 等. 长江流域棉花纤维比强度选择的理想试验环境筛选. 棉花学报, 2013, 25(2): 121-128. |
| [22] | 全国农业技术推广服务中心, 中国水稻研究所. 中国水稻新品种试验: 2012年南方稻区国家水稻品种区试汇总报告. 北京: 中国农业科学技术出版社, 2013. |
| [23] | Kroonenberg P M.Introduction to biplots for GE tables. 1995. . |
| [24] | 王磊, McLaren C G, 杨仕华. 利用双标图分析基因型和环境交互作用. 科技通报, 1997, 13(5): 281-286 |
| [25] | 王磊, McLaren C G, 杨仕华. 利用双标图分析作物区试数据. 生物数学学报, 1997, 12(5): 587-563. |
| [26] | Gauch H G.Statistical analysis of yield trials by AMMI and GGE.Crop Sci, 2006, 46: 1488-1500. |
| [27] | Jolliffee I T.Principal component analysis. 2nd ed, Springer 2002. |
| [28] | Yan W K, Cornelius P L, Crossa J, et al.Two types of GGE biplots for analyzing multi-environment trial data.Crop Sci, 2001, 41: 656-663. |
/
| 〈 |
|
〉 |