摘要
应用灰色关联度分析法,以干物质产量、粗蛋白质、酸性洗涤纤维、中性洗涤纤维、可消化干物质、干物质采食量、相对饲喂价值和水分利用效率为指标构建评价模型,对陇东黄土高原九种春播一年生饲草作物的生产性能进行了量化评估。九种春播一年生饲草作物生产性能的加权关联度排序与等权关联度排序基本一致,加权关联度综合评价后排序为玉米>春小麦>苏丹草>糜子>谷子>大豆>燕麦>箭筈豌豆>豌豆,等权关联度综合评价后排序为玉米>苏丹草>春小麦>糜子>谷子>大豆>燕麦>箭筈豌豆>豌豆。
Cultivation of annual pasture is thought to be the most logical solution to the shortage of forage in spring and winter, however optimal choice of annual forage crops has become a bottle neck of establishment and development of annual pasture in the Loess Plateau. Dry matter (DM), crude protein (CP), acid detergent fiber (ADF), neutral detergent fiber (NDF), digestible dry matter (DDM), digesti- ble dry matter intake (DMI), relative feed value (RFV) and water use efficiency (WUE) were used as in dicators and Grey Correlative Degree analyses was applied to comprehensively evaluate the production per formance of spring-sown annual forage crops in the Loess Plateau. The results showed that weighted Grey Correlative Degree (WGCD) evaluation and Grey Correlative Degree (GCD) evaluation had similar results; The order of WDCG evaluation was maize 〉 spring wheat 〉 Sudan grass 〉 millet 〉 small millet soybean 〉 oats 7〉 vetch 〉 pea, whilst the order of GCD evaluation was maize 〉 Sudan grass 〉 spring wheat 〉 millet〉small millet 〉 soybean 〉 oats 〉 vetch 〉pea.
出处
《中国草地学报》
CSCD
北大核心
2014年第2期25-28,共4页
Chinese Journal of Grassland
基金
澳大利亚国际农业研究中心(ACIAR)项目(LWR/2007/191)
甘肃省重大科技专项(1203FKDA035)
教育部重大科技项目(313028)资助