应用灰色关联度综合评价17个不同秋眠级苜蓿的生产性能

Applying grey correlative degree analysis to comprehensively evaluate growth performance of 17 types of alfalfa with different fall-dormancy grades

对17个苜蓿品种在湘西南地区的生长适应性性状指标,包括12项农艺性状指标与粗蛋白含量进行了灰色关联分析,并建立品种适应性综合评价模型。结果表明,在湘西南地区表现较好的苜蓿品种有盛世、丰宝、CW680等,而阿尔冈金、皇后2000品种的生产性能较差,各项指标的权重大小顺序为:粗蛋白>叶长>叶宽>茎粗>株高>再生速度>主根长>鲜干比>根颈直径>单株干重>侧根数目>茎叶比>根系鲜重,可为南方亚热带地区苜蓿引种和推广提供科学的依据。

In this stu leaf, width, regrow dy, adaptation performance characters such as biomass per plant, plant height, leaf length, th rate, length of taproot, and crude protein content of 17 alfalfa varieties grown in the southwest area of Hunan province were measures and analyzed by the grey correlative system, to establish varieties assessment models. The alfalfa varieties, includin,Millennium, Powerplant, and CW680, performed well in the study area, whereas the other varieties had relatively low adaptive productivities. The order of weight index in the grey correlation analysis was： CP〉leaf length〉leaf width〉 thick of stem〉height length regrowth rate〉length of taproot〉fresh/dry〉rootstalk diameter〉biomass per plant 〉 number lateral root leaf/stem〉root weight. These results offer scientific evidence for introducing and extending alfalfa production in sub-tropical regions of south China.