【摘要】 基因型与环境的互作对基因型筛选具有重要作用,并且使品种筛选变得复杂。本文对法国27个冬小麦品种在27个生长环境中获得的试验数据进行了分析比较,同时对高谷粒产量(GY),谷粒蛋白产量(GPY),谷粒蛋白含量(GPC)和稳定性的几种方法进行了筛选:Kang秩和方法(指标1:相同权重的3种谷粒性状和Shukla稳定性方差δ2)以及5种衍生的秩和指标(指标2~6:3种谷粒性状高于δ22~6倍的权重),稳定性方差(s2)和回归系数(b),研究它们之间的秩相关性以及它们与3种谷粒性状的相关性。结果表明:3种稳定性统计δ2,s2和b对同时筛选3种谷粒性状指标和稳定性都是非常有用的方法。对于GPY的筛选,指标1秩和方法比稳定性方差s2略保守。指标2比指标1和稳定方差s2更好地筛选到高GY和高GPY。指标3,指标4,指标5和指标6更适合于初始筛选3种谷粒性状。所有的稳定性统计方法都能很好与3种谷粒性状秩相关。稳定性方差s2和回归系数b之间在除了GY之外的3种谷粒性状中秩相关性不高,稳定性方差δ2和稳定性方差s2之间在3种谷粒性状中都具有很强的秩相关性。3种稳定性统计在高产和低产的环境中重复性不高,同样,在2个年份之间的重复性也可以忽略。但是,在随机抽取的4个环境之间的重复性却非常高。更多还原

【Abstract】 Genotype×environment interaction(GEI) is important in genotype selection and complicates varietal recommendation.Our objective was to compare methods that were selected for high grain yield(GY),grain protein yield(GPY) and grain protein content(GPC) and stability including Kang’s rank-sum method(Index 1: equal weights for grain yield or quality and shukla’s(1972) stability variance δ2) and five additional rank-sum indices,a stability-variance statistic(s2) and regression coefficient(b),and to study rank correlations among them and their relationship with GY,GPY and GPC in winter wheat.All statistics were calculated with 27 wheat genotypes grown in 27 environments in France.δ2 and s2 and b statistics would be useful tools for selecting both three grain traits and stability simultaneously.Index 1 is slightly more conservative than s2 for GPY.Index 2 selected higher GY and GPC genotypes than did Index 1 and s2.Index 3,Index 4,Index 5 and Index 6 favored selection primarily for GY,GPY and GPC.All the stability statistics were identically well rank-correlated with GY,GPY and GPC.The s2 and b statistics were slightly rank-correlated with each other in three grain traits except GY while the high rank-correlation between δ2 and s2 statistics for all three grain traits was detected.The stability statistics between low-yield and high-yield environments were weakly repeatable.Repeatability of the stability statistics was also negligible between statistics estimated in the two years.However,repeatability of all statistics was generally strong between statistics estimated from four randomly chosen subsets of environments.更多还原