Development of a multicriteria decision-making model for evaluating hybrid offspring in the sweetpotato (Ipomoea batatas L.) breeding process.

IF 2 4区 农林科学 Q2 AGRONOMY Breeding Science Pub Date : 2023-06-01 Epub Date: 2023-06-27 DOI:10.1270/jsbbs.22096
Wei Xiang, Kailong Li, Fang Dong, Ya Zhang, Qiang Zeng, Ling Jiang, Daowei Zhang, Yanlan Huang, Liang Xiao, Zhuo Zhang, Chaofan Zhang
{"title":"Development of a multicriteria decision-making model for evaluating hybrid offspring in the sweetpotato (<i>Ipomoea batatas</i> L.) breeding process.","authors":"Wei Xiang,&nbsp;Kailong Li,&nbsp;Fang Dong,&nbsp;Ya Zhang,&nbsp;Qiang Zeng,&nbsp;Ling Jiang,&nbsp;Daowei Zhang,&nbsp;Yanlan Huang,&nbsp;Liang Xiao,&nbsp;Zhuo Zhang,&nbsp;Chaofan Zhang","doi":"10.1270/jsbbs.22096","DOIUrl":null,"url":null,"abstract":"<p><p>Sweetpotato variety breeding is always a long process. Screening of hybrid offspring is dominated by empirical judgment in this process. Data analysis and decision fatigue have been troubling breeders. In recent years, the low-efficiency screening mode has been unable to meet the requirements of sweetpotato germplasm innovation. Therefore, it is necessary to construct a high-efficiency method that can screen germplasms for different usages, for mining elite genotypes, and to create dedicated sweetpotato varieties. In this article, the multicriteria decision-making (MCDM) model was constructed based on six agronomic traits, including fresh root yield, vine length, vine diameter, branch number, root number and the spatial distribution of storage roots, and five quality traits, including dry matter content, marketable root yield, uniformity of roots, starch content and the edible quality score. Among these, the edible quality score was calculated by using fuzzy comprehensive evaluation to integrate the sensory scores of color, odor, sweetness, stickiness and fibrous taste. The MCDM model was compared with the traditional screening method via an evaluation in 25 sweetpotato materials. The interference of subjective factors on the evaluation results was significantly reduced. The MCDM model is more overall, more accurate and faster than the traditional screening method in the selection of elite sweetpotato materials. It could be programmed to serve the breeders in combination with the traditional screening method.</p>","PeriodicalId":9258,"journal":{"name":"Breeding Science","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570886/pdf/73_246.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Breeding Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1270/jsbbs.22096","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/27 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

Sweetpotato variety breeding is always a long process. Screening of hybrid offspring is dominated by empirical judgment in this process. Data analysis and decision fatigue have been troubling breeders. In recent years, the low-efficiency screening mode has been unable to meet the requirements of sweetpotato germplasm innovation. Therefore, it is necessary to construct a high-efficiency method that can screen germplasms for different usages, for mining elite genotypes, and to create dedicated sweetpotato varieties. In this article, the multicriteria decision-making (MCDM) model was constructed based on six agronomic traits, including fresh root yield, vine length, vine diameter, branch number, root number and the spatial distribution of storage roots, and five quality traits, including dry matter content, marketable root yield, uniformity of roots, starch content and the edible quality score. Among these, the edible quality score was calculated by using fuzzy comprehensive evaluation to integrate the sensory scores of color, odor, sweetness, stickiness and fibrous taste. The MCDM model was compared with the traditional screening method via an evaluation in 25 sweetpotato materials. The interference of subjective factors on the evaluation results was significantly reduced. The MCDM model is more overall, more accurate and faster than the traditional screening method in the selection of elite sweetpotato materials. It could be programmed to serve the breeders in combination with the traditional screening method.

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
在甘薯(Ipomoea batatas L.)育种过程中评估杂交后代的多准则决策模型的开发。
甘薯品种选育是一个漫长的过程。在这个过程中,杂交后代的筛选主要由经验判断决定。数据分析和决策疲劳一直困扰着饲养者。近年来,低效筛选模式已不能满足甘薯种质创新的要求。因此,有必要构建一种高效的方法来筛选不同用途的种质,挖掘优良基因型,并创造专门的甘薯品种。本文基于鲜根产量、藤长、藤径、分枝数、根数和贮藏根空间分布等6个农艺性状,以及干物质含量、商品根产量、根均匀性、淀粉含量和食用质量分数等5个品质性状,构建了多准则决策模型。其中,采用模糊综合评判法,综合颜色、气味、甜味、粘性和纤维味的感官得分,计算出食用质量得分。通过对25种甘薯材料的评价,将MCDM模型与传统筛选方法进行了比较。主观因素对评价结果的干扰显著减少。在甘薯优良材料的筛选中,MCDM模型比传统的筛选方法更全面、更准确、更快。它可以与传统的筛选方法相结合,为育种家服务。
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
Breeding Science
Breeding Science 农林科学-农艺学
CiteScore
4.90
自引率
4.20%
发文量
37
审稿时长
1.5 months
期刊介绍: Breeding Science is published by the Japanese Society of Breeding. Breeding Science publishes research papers, notes and reviews related to breeding. Research Papers are standard original articles. Notes report new cultivars, breeding lines, germplasms, genetic stocks, mapping populations, database, software, and techniques significant and useful for breeding. Reviews summarize recent and historical events related breeding. Manuscripts should be submitted by corresponding author. Corresponding author must have obtained permission from all authors prior to submission. Correspondence, proofs, and charges of excess page and color figures should be handled by the corresponding author.
期刊最新文献
Detection and validation of QTLs for green stem disorder of soybean (Glycine max (L.) Merr.). Development of genomic and genetic resources facilitating molecular genetic studies on untapped Myanmar rice germplasms. DNAMarkMaker: streamlining ARMS and CAPS marker development from resequencing data with NGS short reads. Interaction between genetic regions responsible for the starch properties in non-glutinous rice varieties in Hokkaido, Japan. NARO historical phenotype dataset from rice breeding.
×
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