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对于75个小麦品种两年的试验结果,采用不同方法进行距离比较分析。结果表明:用表型平均值相关阵经主成分转换,计算品种间欧氏距离,再用类平均法聚类,似乎是适宜的距离分析方法。D~2值在年份间较稳定,不同年份的D~2估值,可用于预测杂种优势。根据13个性状估算的品种间距离(D~2)与株粒重杂种优势(H)之间呈曲线关系,其理论方程是:Y=-3.65+6.665X--0.1288X~2。根据该方程推算:D~2=25.87时,H出现最大值。
For two years of 75 wheat cultivars, different methods were used to compare the distances. The results showed that using the correlation matrix of phenotypic average to convert the Euclidean distance between varieties by principal component transformation and clustering by cluster average method seemed to be an appropriate distance analysis method. D ~ 2 values are more stable between years and D ~ 2 estimates of different years can be used to predict heterosis. According to the 13 traits, the distance between cultivars (D ~ 2) and the grain weight heterosis (H) showed a curve relationship. The theoretical equation is: Y = -3.65 + 6.665X - 0.1288X ~ 2. Calculated according to the equation: D ~ 2 = 25.87, H appears the maximum value.