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该文提出了F1组合评选的两种量化方法??最小平方和(LSS)法与最小绝对值和(LSA)法,分别以SS＝∑NIWI〔(F1I－II)2/MAX(F1I－II)2〕和SA＝∑NIWI(｜F1I－II｜/MAX｜FLI－II｜)度量F1组合多个性状表现与育种目标的接近程度,SS或SA值越小,则F1组合越好.采用LSS法、LSA法对32个小麦高产育种F1组合进行了分析,以F2实际选择情况进行了验证.结果表明,LSS法和LSA法都能很好地评价F1组合的优劣,进而可以对F1组合分级并淘汰一定量的组合.“,”Quantitative methods for evaluating the sum of squares (SS) and the sum of absolute values (SA) used for testing the difference between multiple traits of F 1 and breeding objectives were put forward for evaluating and selecting F 1 crosses in wheat cross breeding.In the program,SS=∑niw i ( 1i -I i) 2/max([AKF-〗 1i -I i) 2 and SA=∑niw i(| li -I i|/max| 1i -I i|),and the smaller the values of SS or SA is,the better the F 1 cross is.Using the methods or SS and SA,32 crosses of F ...