摘要
为筛选高寒地区人工建植禾豆混播草地的最佳组合及比例,以老芒麦(Elymus sibiricus)、箭筈豌豆(Vicia sativa)和饲用豌豆(Pisum sativum)为试验材料,设置不同混播组合及比例,对饲草生产性能、营养品质进行测定,并采用灰色关联度综合评价。结果表明:混播组合极显著影响牧草的株高、茎叶比和粗脂肪(P<0.01),混播比例极显著影响鲜、干草产量、粗蛋白质、粗纤维含量、酸性洗涤纤维和中性洗涤纤维(P<0.01)。当禾本科:豆科=7:3时,可显著提高其生产力(P<0.05)。经灰色关联度进一步综合分析表明,高寒区禾豆混播草地,其组合为老芒麦+箭筈豌豆(7:3)建植时人工草地的生产力和品质较佳。
This study aimed to explore the best combination and proportion of Legume-grass mixtures in alpine cold region. Elymus sibiricus,Vicia sativa and Pisum sativum were used as a material, Different Mixtures and Proportions of Legume-grass mixtures used as testes, we determined the yield and nutritional quality of bean-mixed grassland, and combined with comprehensive analysis by grey relational degree evaluation. The result showed that Mixing combinations highly significantly affected forage height, stem to leaf ratio and crude protein(P<0.01),and mixing ratios highly significantly affected fresh and hay yield, crude protein, crude fiber content, acidic detergent fiber and neutral detergent fiber(P<0.01). The productivity was significantly(P<0.05) increased when Poaceae: Leguminosae = 7:3. Further comprehensive analysis by gray correlation showed that the combination Elymus sibiricus+Vicia sativa(7:3) had better productivity and quality which Legume-grass mixtures planted in alpine cold region.
作者
方伟
FANG Wei(Qinghai Province Grassland Improvement Experimental Station,Gonghe Qinghai 813000,China)
出处
《青海草业》
2022年第4期1-8,共8页
Qinghai Prataculture
关键词
禾豆混播
产量
营养品质
灰色关联度评价
Iegume-grass mixtures
Grass yield
Quality
Grey relational degree evaluation