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作 者:马小梅[1] 杨小霞 雍佳熹 何彩虹 伏兵哲[1,2,3] 高雪芹 Ma Xiaomei;Yang Xiaoxia;Yong Jiaxi;He Caihong;Fu Bingzhe;Gao Xueqin(School of Forestry and Prataculture,Ningxia University,Yinchuan 750021,China;Ningxia Grassland and Animal Husbandry Engineering Technology Research Center,Yinchuan 750021,China;Model Innovation in Forage Production Effificiency,Ministry of Agriculture and Rural Affairs,Yinchuan 750021,China)
机构地区:[1]宁夏大学林业与草业学院,宁夏银川750021 [2]宁夏草牧业工程技术研究中心,宁夏银川750021 [3]农业农村部饲草高效生产模式创新重点实验室,宁夏银川750021
出 处:《农业科学研究》2024年第3期7-12,25,共7页Journal of Agricultural Sciences
基 金: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)。
摘 要:为客观评价老芒麦(Elymus sibiricus)种质资源的生产性能和品质,测定14份老芒麦种质的12个农艺性状指标和5个营养成分质量分数,进行变异系数、相关性和主成分分析,利用隶属函数进行综合评价。结果表明:茎直径、茎节数、种子宽、千粒质量、株高、分蘖数、鲜干比、叶茎比、鲜草产量、干草产量、种子产量、粗蛋白质量分数、粗灰分质量分数、粗脂肪质量分数的变异系数均大于10%,其中干草产量的变异系数最大,为31.75%,中性洗涤纤维质量分数的变异系数最小,为3.38%。分蘖数与鲜草产量显著相关,叶茎比与粗脂肪质量分数显著相关,各指标之间相互影响。主成分分析将18个指标归为6个主成分,累计贡献率为86.65%。利用隶属函数分析进行综合评价,筛选出4个综合表现较好的种质E4、E5、E7、E10,在以后的育种工作中可将这4个种质作为候选亲本或核心种质加以利用。The aim of this study was to objectively evaluate the production performance and quality of Elymus sibiricus germplasm resources.In this study,12 production performance indicators and 5 nutritional composition indicators of 14 Elymus sibiricus germplasms were measured,and statistical analyses were carried out using coefficients of variation,correlation,and principal component analysis,with comprehensive evaluation conducted by membership function analysis.The results showed that the coefficients of variation of 14 production performance and nutritional components,including stem diameter,node number of stem,seed width,thousand-grain weight,plant height,number of tillers,the ratio of fresh to dry mass,leaf-to-stem ratio,fresh yield,hay yield,seed yield,content of crude protein,ash content,and content of ether extract,were all greater than 10%.The maximum coefficient of variation of hay yield was 31.75%,while the minimum coefficient of variation of neutral detergent fiber was 3.38%.The number of tillers was significantly correlated with fresh grass yield,while the leaf-to-stem ratio was significantly correlated with the content of ether extract,and various indicators would restrict each other.Principal component analysis classified 18 indicators into six principal components,with a cumulative contribution rate of 86.65%.E4,E5,E7,and E10,which exhibited the best overall performance,were selected based on the comprehensive evaluation using membership function analysis,which could be used as candidate parents or core germplasms for breeding.
关 键 词:老芒麦 农艺性状 营养成分 主成分分析 综合评价
分 类 号:S326[农业科学—作物遗传育种]
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