Genetic affinity of sunflower lines and cluster analysis by morphological traits

Q3 Agricultural and Biological Sciences Helia Pub Date : 2020-10-01 DOI:10.1515/helia-2020-0014
K. Vedmedeva
{"title":"Genetic affinity of sunflower lines and cluster analysis by morphological traits","authors":"K. Vedmedeva","doi":"10.1515/helia-2020-0014","DOIUrl":null,"url":null,"abstract":"Abstract The purpose of the study is to identify the use of qualitative and quantitative morphological traits to ascertain genetic affinity and identification of sunflower lines. A collection of 39 sunflower lines was studied according to morphological qualitative traits described in the method of establishing differences, homogeneity, stability and quantitative traits (plant organ size, 1000 seeds weight, oil content). Several lines of unknown origin were identified to each other. The material of the collection of lines proved the possibility of clustering by the method of link analysis on a set of morphological features. Generalized data show that only three lines out of 39 do not correspond to known lineages in their clusters, which is 92% of the correct cluster definition. The results of clustering, identification and breeding records were compared. To be consistent with the breeding records classification, the number of distinguished traits that are not similar must exceed 20 names given to the score.","PeriodicalId":39086,"journal":{"name":"Helia","volume":"43 1","pages":"113 - 122"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/helia-2020-0014","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Helia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/helia-2020-0014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 1

Abstract

Abstract The purpose of the study is to identify the use of qualitative and quantitative morphological traits to ascertain genetic affinity and identification of sunflower lines. A collection of 39 sunflower lines was studied according to morphological qualitative traits described in the method of establishing differences, homogeneity, stability and quantitative traits (plant organ size, 1000 seeds weight, oil content). Several lines of unknown origin were identified to each other. The material of the collection of lines proved the possibility of clustering by the method of link analysis on a set of morphological features. Generalized data show that only three lines out of 39 do not correspond to known lineages in their clusters, which is 92% of the correct cluster definition. The results of clustering, identification and breeding records were compared. To be consistent with the breeding records classification, the number of distinguished traits that are not similar must exceed 20 names given to the score.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
向日葵品系的遗传亲和性及其形态性状的聚类分析
摘要本研究的目的是利用定性和定量形态性状来确定向日葵品系的遗传亲和力和鉴定。根据建立差异性、同质性、稳定性和数量性状(植物器官大小、1000粒种子重量、含油量)的方法中描述的形态定性性状,对39个向日葵品系进行了研究。有几条来路不明的线相互辨认。通过对一组形态学特征的链接分析,证明了聚类的可能性。广义数据显示,39条线中只有3条线与集群中的已知谱系不对应,这是正确集群定义的92%。对聚类、鉴定和育种记录的结果进行了比较。为了与育种记录分类一致,不相似的可分辨性状的数量必须超过20个评分名称。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Helia
Helia Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
1.00
自引率
0.00%
发文量
9
期刊最新文献
Biotechnological methods of growing sunflower in different fertilizer systems Bioprospecting for improved floral fragrance in wild sunflowers Sunflower hybrids productivity depending on the rates of mineral fertilizers in the south of Ukraine Correlations of confectionary seed traits in different head zones sunflower Genotype-environment interaction in the variability of yield associated indices under stress conditions in sunflower
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1