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作 者:俞华先[1] 经艳芬[1] 安汝东[1] 郎荣斌[1] 田春艳 董立华[1] 桃联安[1] 孙有芳[1] 杨李和[1] 边芯[1] 周清明[1] YU Hua-xian;JING Yan-fen;AN Ru-dong;LANG Rong-bin;TIAN Chun-yan;DONG Li-hua;TAO Lian-an;SUN You-fang;YANG Li-he;BIAN Xin;ZHOU Qing-ming(Ruili Breeding Station,Sugarcane Research Institute,Yunnan Academy of Agricultural Sciences,Ruili 678600,China)
出 处:《江西农业学报》2019年第10期16-22,共7页Acta Agriculturae Jiangxi
基 金:云南省农业基础研究联合专项面上项目“大茎野生种57NG208创新种质的遗传分析与评价”(2017FG001-058);云南省农业科学院科技创新及成果转化“现代化科研所建设(云瑞甘蔗育种重要亲本培育与应用)”(2018BB02901);德宏州科技局科协“王凯博士工作站(云瑞甘蔗育种重要亲本主要性状遗传及其应用)”;云岭英才计划“高端外国专家”专项“甘蔗品种改良与应用”
摘 要:以12份大茎野生种血缘后代材料及生产上大面积推广种植的ROC22和粤糖93-159为试验材料,对其7个工农艺性状进行主成分和聚类分析。结果表明:供试材料各性状间存在较高相关性;主成分分析将7个性状降为3个主成分,这3个主成分能解释表型变异的95.7057%。基于3个主成分进行二维排序和聚类分析,筛选到8(云瑞14-204)和6(云瑞14-199)2份优质材料,能较好地为大茎野生种的创新利用和品种改良提供科学依据。The main components analysis and cluster analysis of seven industrial and agronomic characters were carried out from 12 S.robusfum offspring,the leading varieties ROC22 and Yuetang 93-159.The results showed that there was a higher correlation among the various traits of the test materials.seven traits were reduced to three principal components by principal component analysis,which could explain 95.7057% of phenotypic variation.Based on the two dimensional sorting and clustering analysis of the three principal components,the 8(Yunrui 14-204)and 6(Yunrui 14-199)were selected as two high quality materials,which could provide a scientific basis for the innovative utilization and improvement of S.robustum varieties.
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