许乃银, 李健, 张国伟, 周治国. 基于GGE双标图和马克隆值选择的棉花区域试验环境评价[J]. 中国生态农业学报(中英文), 2013, 21(10): 1241-1248. DOI: 10.3724/SP.J.1011.2013.30534
引用本文: 许乃银, 李健, 张国伟, 周治国. 基于GGE双标图和马克隆值选择的棉花区域试验环境评价[J]. 中国生态农业学报(中英文), 2013, 21(10): 1241-1248. DOI: 10.3724/SP.J.1011.2013.30534
XU Nai-Yin, LI Jian, ZHANG Guo-Wei, ZHOU Zhi-Guo. Evaluation of regional cotton trial environments based on cotton fiber micronaire selection by using GGE biplot analysis[J]. Chinese Journal of Eco-Agriculture, 2013, 21(10): 1241-1248. DOI: 10.3724/SP.J.1011.2013.30534
Citation: XU Nai-Yin, LI Jian, ZHANG Guo-Wei, ZHOU Zhi-Guo. Evaluation of regional cotton trial environments based on cotton fiber micronaire selection by using GGE biplot analysis[J]. Chinese Journal of Eco-Agriculture, 2013, 21(10): 1241-1248. DOI: 10.3724/SP.J.1011.2013.30534

基于GGE双标图和马克隆值选择的棉花区域试验环境评价

Evaluation of regional cotton trial environments based on cotton fiber micronaire selection by using GGE biplot analysis

  • 摘要: 棉纤维马克隆值是与纤维成纱品质密切相关的重要品质指标, 也是长江流域棉花品质改良的主要制约因子。选择利用对目标环境代表性强的试验点进行区域试验布局有助于提高马克隆值育种效率和节省试验成本。GGE双标图是进行试验点代表性评价和选择最有效的统计和图形展示工具, 已经在多种作物区域试验中用于品种稳定性和试验环境相似性分析, 但在基于马克隆值选择的棉花区域试验环境评价中应用报道较少。本文采用GGE双标图方法对2000-2010年期间27组长江流域国家棉花区域试验中的15个试验环境基于马克隆值选择的鉴别力、代表性和理想指数进行综合评价与分析。结果表明: 各试验环境依理想度指数优劣排序为荆州市>黄冈市>南通市>九江市>岳阳市>射洪县>常德市>安庆市>武汉市>南阳市>南京市>慈溪市>襄阳市>简阳市>盐城市; 从中筛选出最理想试验环境为湖北省荆州市, 较理想试验环境为湖北省黄冈市、江苏省南通市和江西省九江市, 这些试验环境对以长江流域为目标环境的广适性新品种选育和作为区域试验点鉴别理想品种的效率最高; 而位于江浙沿海棉区的江苏省盐城市和浙江省慈溪市不适宜作为针对长江流域的马克隆值选择与推荐环境。本研究充分展示了GGE双标图在区域试验环境评价方面的应用效果, 也为以长江流域棉区为目标环境的广泛适应性和特殊适应性品种的马克隆值选择和应用提供理论依据。

     

    Abstract: Cotton fiber micronaire is an important fiber trait which is directly related to yarn quality. This element of quality is the main limiting factor in cotton fiber quality improvement in the Yangtze River Valley. The optimal arrangement of a regional trial scheme is based on representative trial location identification. This is critical in enhancing both micronaire selection efficiency and regional trial cost-savings. Biplot GGE analysis has been the most useful statistical and visual tool for trial location evaluation and representative location selection, and it has been extensively adopted in cultivar stability and trial location similarity analysis in several crops. So far, however, little has been done in terms of cotton regional trial location evaluation based on fiber micronaire selection. The objective of this study was to single out ideal trial locations in cotton micronaire selection using biplot GGE analysis. The method was applied to 27 independent sets of cotton variety regional trials in 15 trail locations in the Yangtze River Valley in 2000 2010. Based on the evaluation variables of desirability indexes for fiber micronaire selection, the order of the 15 trial locations was Jingzhou City > Huanggang City > Nantong City > Jiujiang City > Yueyang City > Shehong City > Changde City > Anqing City > Wuhan City > Nanyang City > Nanjing City > Cixi City > Xiangyang City > Jianyang City > Yancheng City. Jingzhou City of Hubei Province was the most ideal trial location, while Huanggang City of Hubei Province, Nantong City of Jiangsu Province and Jiujiang City of Jiangxi Province were the ideal trial locations. It implied that these locations were the most effective for eurytopic cotton cultivar selection and regional test points of optimal cultivar identification based on cotton fiber micronaire in the Yangtze River Valley. On the other hand, the cotton trial locations in Jiangsu and Zhejiang provincial coastal fields (Yancheng and Cixi) were not suitable for cotton fiber micronaire selection in the Yangtze River Valley. This article has fully demonstrated the efficiency of biplot GGE application in regional trial environment evaluation and therefore laid the theoretical basis for decision-making regarding fiber micronaire selection in regional/national cotton trials schemes in the Yangtze River Valley.

     

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