摘要
为筛选出适宜冀西北地区种植的优良燕麦(Avena sativa)品种,本试验对引进的国内外21个燕麦品种的生产性能和营养品质相关指标进行了测定和分析,并运用灰色关联度分析法进行了综合评价。结果表明:不同燕麦品种对同一生态环境的适应性差异较大,其中‘张莜9号’和‘白燕2号’的干草产量较高,达到7000 kg·hm^-2以上;‘青引2号’的干鲜比和叶茎比较高,适口性较好;而‘牧思乐’的营养品质较好。参试燕麦品种各指标的权重系数从高到低的顺序为:干草产量>中性洗涤纤维含量>酸性洗涤纤维含量>粗蛋白含量>叶茎比>株高>相对饲草品质>粗脂肪含量>干鲜比>粗灰分含量,通过加权关联度评价得出综合表现较好的燕麦品种为‘牧思乐’、‘坝莜3号’、‘领袖’和‘贝勒2’,这4个品种可以作为冀西北及周边地区的优良燕麦品种进行推广种植。
In order to select special oat varieties suitable for planting in the northwest of Hebei province,21 oat varieties from home and abroad were used as materials.The production performance and nutritional quality were measured and analyzed,and also evaluated with gray correlation analysis.The results showed that different oat varieties had different adaptability to local environment according to their agronomic characters,‘Zhangyou NO.9’and‘Baiyan NO.2’had high hay yield,above 7000 kg·hm^-2;‘Qingyin NO.2’had high leaf stem ratio and dry fresh ratio;‘Molasses’had good nutritional quality.According to the gray correlation analysis,the top four oat varieties are‘Molasses’,‘Bayou NO.3’,‘Souris’and‘Baler NO.2’,and they are better suitable for planting in the northwest of Hebei province and similar area.
作者
王运涛
杨志敏
刘建成
李峰
于林清
远婷
梁潇
周文秀
WANG Yun-tao;YANG Zhi-min;LIU Jian-cheng;LI Feng;YU Lin-qing;YUAN Ting;LIANG Xiao;ZHOU Wen-xiu(Zhangjiakou University, Zhangjiakou, Hebei Province 075000, China;Zhangjiakou academy of agricultural sciences, Zhangjiakou, Hebei Province 075000, China;Grassland Research Institute of Chinese Academy of Agricultural Sciences, Huhhot, Inner Mongolia 010010, China;Zhangjiakou Innovation Center of Ecological Monitoring and Comprehensive Management Technology, Zhangjiakou, Hebei Province 075000, China;Agricultural Technology Popularization Station of Kelegou Town, weichang, Hebei Province 068453, China)
出处
《草地学报》
CAS
CSCD
北大核心
2020年第5期1311-1318,共8页
Acta Agrestia Sinica
基金
河北省重点研发项目(19226362D)
河北省重点研发项目(19226424D)
张家口学院张家口地区草地资源保护与利用科研团队资助。
关键词
冀西北
燕麦
生产性能
营养品质
灰色关联度分析
Northwest of Hebei province
Avena sativa
Production performance
Nutritional quality
Gray correlation analysis