| 16份无芒雀麦种质资源生产性能与营养品质的综合评价 |
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| 引用本文： | 黄薇,常巍,余淑艳,李小云,高雪芹,伏兵哲.16份无芒雀麦种质资源生产性能与营养品质的综合评价[J].草业科学,2022,1(1):2237-2246. |
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| 作者姓名： | 黄薇 常巍 余淑艳 李小云 高雪芹 伏兵哲 |
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| 作者单位： | 宁夏大学农学院,宁夏,银川,750021;宁夏草牧业工程技术研究中心,宁夏,银川,750021 |
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| 基金项目： | 宁夏牧草育种专项(2019NYYZ0403)%宁夏高等学校一流学科建设(草学学科)项目(NXYLXK2017A01) |
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| 摘 要： | 为了筛选出生产性能与营养品质表现优良的无芒雀麦(Bromus inermis)种质材料，测量和分析了国内外16份无芒雀麦种质资源生产性能和营养品质的相关指标，并运用聚类分析、灰色关联度分析进行综合评价。结果表明：不同无芒雀麦种质材料之间生产性能与营养品质差异显著(P < 0.05)，其中Q6、Q8、Q2的鲜草产量与Q16、Q4的干草产量显著高于其他种质材料(P < 0.05)，可作为追求产草量的基础材料利用；Q16粗蛋白含量高，中性洗涤纤维含量低，牧草消化率高，营养品质好；Q2、Q4、Q10、Q14叶茎比显著高于其他种质材料(P < 0.05)。聚类分析将16份种质材料聚为4类，聚类结果与原产地关系较小。根据灰色关联度分析，叶茎比、干草产量、粗灰分、粗蛋白在无芒雀麦生产性能与营养品质综合评价系统中权重最大，可作为无芒雀麦品种评价和筛选时的关键性状；Q6、Q4、Q10、Q16、Q2、Q8与理想品系关联系数最大，综合表现最好，可为无芒雀麦品种改良和新品种培育提供基础材料。
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| 关 键 词： | 无芒雀麦 生产性能 营养品质 聚类分析 灰色关联度分析 综合评价 |
Comprehensive evaluation of production performance and nutritional quality of 16 Bromus inermis germplasm resources |
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| HUANG Wei,CHANG Wei,YU Shuyan,LI Xiaoyun,GAO Xueqin,FU Bingzhe.Comprehensive evaluation of production performance and nutritional quality of 16 Bromus inermis germplasm resources[J].Pratacultural Science,2022,1(1):2237-2246. |
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| Authors: | HUANG Wei CHANG Wei YU Shuyan LI Xiaoyun GAO Xueqin FU Bingzhe |
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| Abstract: | To select the Bromus inermis germplasm materials with excellent performance and nutritional quality, performance and nutritional quality indicators of 16 germplasm resources were measured and analyzed, and a comprehensive evaluation was performed using gray relational and cluster analyses. The results showed that there were significant differences in the production performance and nutritional quality of the different B. inermis germplasm materials (P < 0.05). The fresh yield of Q6, Q8, and Q2 and the hay yield of Q16 and Q4 were significantly higher than the other germplasm materials (P < 0.05), which can be used as basic materials for obtaining high grass yield. Q16 had high crude protein content, low acid detergent fiber content, high forage digestibility, and excellent nutritional quality. The leaf-stem ratios of Q2, Q4, Q10, and Q14 were significantly higher than those of the other germplasm materials (P < 0.05). The cluster analysis divided the 16 germplasm materials into four categories, and the clustering results had little relationship with the place of origin. Based on the gray correlation analysis, the leaf-stem ratio, hay yield, crude ash, and crude protein had the largest weights in the comprehensive evaluation of production performance and nutritional quality of B. inermis, which can be used as key traits in the evaluation and selection of B. inermis varieties. Q6, Q4, Q10, Q16, Q2, and Q8 had the highest correlation coefficients with ideal strains and the best comprehensive performance, and could provide the basic materials for the improvement and breeding of new B. inermis varieties. |
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| Keywords: | Bromus inermis production performance nutritional quality cluster analysis gray correlation analysis comprehensive evaluation |
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