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基于K-means算法和TOPSIS模型的陇东旱区大豆品种饲用性能评价 被引量:1

Feed performance evaluation of soybean varieties in dry area of east Gansu based on K-means algorithm and TOPSIS mode
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摘要 研究旨在丰富黄土高原陇东旱区优质饲草品种。试验对不同类型的14个大豆品种进行方差分析,在此基础上,采用K-means算法进行聚类分析,采用TOPSIS法进行综合评价,研究饲草的生产性能。结果显示,牧绿9号和牧绿2号对试验区的气候表现出较好的适应性,主茎长达2 m以上,分枝多、叶量丰富,产量分别达到5 620.6、4 586.7 kg/667 m^(2),粗蛋白含量分别为17.30%、17.90%,中性洗涤纤维含量分别为44.17%、45.32%,酸性洗涤纤维含量分别为36.10%、36.70%,粗脂肪含量分别为4.68%、4.70%,钙含量分别为1.97%、1.93%,相对饲喂价值分别为143.50、135.75。籽粒大豆中可用作生产饲草的品种为桂春1607、桂夏7号,其产量分别达3 710.7、3 464.0 kg/667 m^(2),粗蛋白含量分别为19.30%、18.30%,中性洗涤纤维含量分别为41.32%、42.74%,酸性洗涤纤维含量分别为32.80%、34.45%,粗脂肪含量分别为4.00%、4.35%,钙含量分别为1.61%、1.79%,相对饲喂价值分别为151.00、143.50。研究表明,牧绿9号、牧绿2号、桂春1607、桂夏7号均具有较高的饲用价值。 The study was to enrich high-quality forage varieties of grass in dry area of Longdong on loess plateau.A total of 14 soybean varieties of various types were introduced in study.On the basis of variance analysis,K-means algorithm was used for cluster analysis,TOPSIS method was used for comprehensive evaluation,and the forage productivity was discussed.The results showed that two forage varieties,Mulu No.9 and Mulu No.2,showed good adaptability to the climate in test area.The main stem was more than 2 m,with many branches and abundant leaves.The yield was 5620.6,4586.7 kg/667 m^(2),the crude protein content was 17.30%and 17.90%,the neutral detergent fiber content was 44.17%and 45.32%,the acid detergent fiber content was 36.10%and 36.70%,the crude fat content was 4.68%and 4.70%,the calcium content was 1.97%and 1.93%,and the relative feed value was 143.50 and 135.75.Among seed soybeans,Guichun 1607 and Guixia No.7 can be used as forage,with yields of 3710.7,3464.0 kg/667 m',crude protein content of 19.30%and 18.30%,neutral detergent fiber content of 41.32%and 42.74%,acid detergent fiber content of 32.80%and 34.45%,crude fat content of 4.00%and 4.35%,calcium content of 1.61%and 1.79%,and relative feed value of 151.00 and 143.50.The study indicates that Mulu No.9,Mulu No.2,Guichun 1607 and Guixia No.7 all have high feeding value.
作者 耿智广 张金霞 李峰 李世恩 施海娜 岳耀敬 GENG Zhi-guang;ZHANG Jin-xia;LI Feng;LI Shi-en;SHI Hai-na;YUE Yao-jing
出处 《饲料研究》 CAS 北大核心 2023年第10期122-127,共6页 Feed Research
基金 中国农业科学院科技创新工程重大科研任务(项目编号:CAAS-ZDRW202106) 甘肃省青年基金(项目编号:22JR5RM046) 甘肃省玉米产业体系基金项目 庆阳市科技支撑基金A类项目(项目编号:KZ2015-08) 庆阳市科技支撑基金B类项目“混合青贮饲料生产技术集成与研究”。
关键词 大豆品种 饲用性能 K-MEANS聚类 TOPSIS综合评价 soybean varieties feeding performance K-means clustering TOPSIS comprehensive evaluation
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