灰色关联度分析在小麦高代品系上的综合评价  

Gray Relationship Analysis Used in Integrative Evaluation of Seed Materials of Wheat

作　　者：王伟[1] 龙增栋[1] 

机构地区：[1]贵州省农业科学院旱粮研究所,贵阳550006

出　　处：《贵州农业科学》2004年第2期27-28,共2页Guizhou Agricultural Sciences

摘　　要：利用灰色关联度分析 ,对 2 0 0 2年度小麦品比试验中的 11个品种 (系 )的生育期、株高、千粒重、穗粒数、单位面积产量、幼苗习性和籽粒饱满度 7个性状进行了综合评价 ,确定出最优的高代品系。结果表明 :品系 9835 3、超选A、超选B的灰色关联度较大 ,分别为 0 .915、0 .714、0 .6 5 8,可供小麦育种工作进一步研究利用。Making use of the gray relationship analysis in comparison experiment in 2002, 7 characters of 11 wheat breeds were integratedly evaluated,including growth period, plant height,1000-GW, grain number per ear, yield per 667m^(2), seedling behavior and plumpness of seeds, to confirm out the best of breeds. The result showed that the three better breeds were 98353, Caoxuan A, Caoxuan B. And each of their gray relationship degree was 0.915, 0.714, 0.658. These breeds can be used in our next work of wheat-breeding.

关 键 词：灰色关联度分析 小麦 高代品系 性状 育种 综合评价 

分 类 号：S512.103.2[农业科学—作物学] S117