首页> 外文期刊>African Journal of Plant Science >Morphological characterization of blackberry (Rubus subgenus Rubus Watson) genetic resources in Kenya
【24h】

Morphological characterization of blackberry (Rubus subgenus Rubus Watson) genetic resources in Kenya

机译:肯尼亚黑莓(Rubus亚种Rubus Watson)遗传资源的形态学表征

获取原文
           

摘要

The variation of morphological and physiological traits of blackberry (Rubus subgenus Rubus Watson) is vital for successful breeding of the fruit crop. The objective of this study was to characterize blackberry accessions in-situ using morphological descriptors in Kenya. Each blackberry accession was nested within its county of collection. A phylogenetic tree was then constructed using the Gower’s coefficient which clustered the accessions into two classes; I and II consisting of 1 and 89 accessions, respectively. The clustering of accessions did not show an association between the origin of collection and the accessions. Principal Component Analysis (PCA) revealed ten axes of which seven had a cumulative variation of 96.30% with the first two axes having a discriminatory variance of 52.71%. This suggests that variables identified in this study could be used to differentiate blackberry accessions morphologically. This study demonstrated that the number of internodes per average growing shoots, thorniness of the plant and length of internode were associated with the first axis with Eigenvalue of 27.79%. Plant thorniness was also associated with the second axis with Eigenvalue of 24.92%. These results suggest that there exists qualitative and quantitative variation among blackberry accessions in Kenya that can be utilized in breeding.
机译:黑莓(Rubus亚种Rubus Watson)的形态和生理特性的变化对于成功地种植水果作物至关重要。这项研究的目的是在肯尼亚使用形态学描述符对黑莓品种进行原位鉴定。每个黑莓品种都嵌套在其收集县内。然后使用高尔系数构建种系树,将种质分为两类: I和II分别由1和89个种质组成。种质的聚类并没有显示出种源与种质之间的联系。主成分分析(PCA)显示十个轴,其中七个轴的累积变化为96.30%,前两个轴的差异为52.71%。这表明该研究中确定的变量可用于从形态上区分黑莓品种。这项研究表明,每个平均生长芽的节间数量,植物的刺痛程度和节间长度与第一轴相关,特征值27.79%。植物刺痛也与第二轴相关,特征值24.92%。这些结果表明,肯尼亚黑莓品种之间存在定性和定量的差异,可用于育种。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号