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花生种质资源在江淮区域农艺性状的评价研究
引用本文:汪 清,姜 涛,王 嵩,赵西拥,朱晓峰,倪皖莉. 花生种质资源在江淮区域农艺性状的评价研究[J]. 中国农学通报, 2017, 33(32): 9-14
作者姓名:汪 清  姜 涛  王 嵩  赵西拥  朱晓峰  倪皖莉
作者单位:安徽省农业科学院作物研究所,安徽省农业科学院作物研究所,安徽省农业科学院作物研究所,安徽省农业科学院作物研究所,安徽省农业科学院作物研究所,安徽省农业科学院作物研究所
基金项目:国家花生产业技术体系合肥综合试验站(CARS-14-合肥综合试验站);安徽省农业科学院学科建设面上项目“花生高产抗病种质鉴定及创 制”(14A0215);安徽省农业成果转化资金项目“高产油用花生新品种皖花9 号中试与示范”(1504032003)。
摘    要:为了更好地利用花生种质资源进行育种工作,对300份花生种质资源在江淮区域的农艺性状数据进行数理统计,并结合SPSS 20.0软件进行相关性与聚类分析。结果表明:供试花生种质8个农艺性状中,有效分枝数与单株结果数极显著正相关;主茎高与单株生产力极显著负相关;主茎高与单株结果数显著负相关。采用Ward法在平方欧式距离D2=4时,将供试种质材料划分为三大类群。同一类型的种质其地理来源有不同,同一地理来源的种质其类型有不同,同一类型或者同一地理来源的花生种质亲缘关系非最近。江淮区域花生种质资源的农艺性状具有丰富的遗传多样性,本研究结果为江淮区域花生育种工作提供参考。

关 键 词:花生  多样性  聚类分析  相关性  农艺性状  种质资源
收稿时间:2016-11-01
修稿时间:2017-11-07

Evaluation of Agronomic Characters of Peanut Germplasm Resources in Jianghuai Region
Abstract:To better use peanut germplasm resources in breeding, data of agronomic characters of 300 peanut germplasm resources in Jianghuai Region were statistically analyzed, and correlation analysis and cluster analysis were conducted with SPSS 20.0 software. The results showed that among the 8 agronomic characters, the effective branch number had extremely and significantly positive correlation with the number of pods per plant; main stem height and plant productivity per plant had extremely and significantly negative correlation; main stem height and the number of pods per plant had significantly negative correlation. With the Ward method, the peanut germplasm resources could be clustered into three groups when the square Euclidean distanceD 2 was 4. The same type of peanut germplasm resources had different geographical sources. The same geographical source of peanut germplasm resources had different types. Peanut germplasm resources derived from the same type or the same geographical source had no closest genetic relationship. The agronomic characters of peanut germplasm resources in Jianghuai Region had a rich genetic diversity, and the results could provide reference for peanut breeding.
Keywords:peanut   diversity   cluster analysis   correlation   agronomic characters   germplasm resources
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