摘要
以入编《中国稻种资源目录》的 1567份浙江粳稻地方品种为材料 ,采用变种类型分层 (丁颖分类法 ) ,聚类分组和直接随机取样 3种方法 ,构建了浙江粳稻地方品种核心样品 ,并探讨了适宜的样品规模和利用编目性状进行核心样品构建的可靠性。研究表明 :变种类型下聚类分组取样优于直接随机取样 ,编目性状可作为构建核心样品的重要性状 ,浙江粳稻地方品种核心样品可采用变种类型分层 /系统聚类分组 /组内随机取样方法构建 ,适宜规模为原有样品的 6.5%。
This study was to search reasonable methods for developing a core collection for Zhejiang traditional japonica rice germplasm with 1567 accessions catalogued in “Catalog of China Rice Germplasm”. Cluster and random sampling methods were used under Dingying′s taxonomic system. The suitable sample size and the reliability of core collection based on catalog traits were also discussed. The result showed that the cluster method based on catalog traits was more advantages than the random method to set up the core collection. The core collection with 6.5% sample size was judged suitable to represent the Zhejiang traditional japonica rice germplasm.
出处
《作物学报》
CAS
CSCD
北大核心
2001年第3期324-328,共5页
Acta Agronomica Sinica
基金
国家"九五"重点科技攻关项目
国家"973"项目