Phenotyping winter wheat for early ground cover

IF 1.2 4区 农林科学 Q3 AGRONOMY Czech Journal of Genetics and Plant Breeding Pub Date : 2022-04-12 DOI:10.17221/91/2021-cjgpb
Y. Kaya
{"title":"Phenotyping winter wheat for early ground cover","authors":"Y. Kaya","doi":"10.17221/91/2021-cjgpb","DOIUrl":null,"url":null,"abstract":"The relationship between the early ground cover and the grain yield in winter wheat is not yet fully understood. In a winter wheat breeding programme, selection for early ground cover is traditionally made using visual scoring. Although visual scoring is preferred as a phenotypic screening tool by wheat breeders, its output may not be reliable, as it requires experience. A smartphone camera-based digital image technique can be recommended as a feasible, reliable, repeatable, affordable, and fast selection tool for early ground cover in wheat as an alternative to visual scoring. For this purpose, two wheat trials were conducted in the 2017–2018 and 2019–2020 seasons. In both seasons, 215 wheat genotypes in total, together with three checks from spring wheat, were tested under rain-fed conditions in the spring wheat zone in Turkey. All the tested wheat genotypes were grouped into spring, facultative, and winter growth habit using visual scoring. Simultaneously, photos were taken from each plot with a smartphone camera, and the early ground cover (%) was estimated using the smartphone camera-based digital image technique. The relationships between grain yield, visual scoring, and early ground cover could so be estimated. In both seasons, significant negative correlation between grain yield and visual scoring (r = −0.679** and r = −0.704**, respectively) and significant positive correlation between the grain yield and the early ground cover (r = 0.745** and r = 0.747**, respectively) were observed. The correlation between visual scoring and early ground cover were negative (r = −0.862** and r = −0.926**, respectively). The broad sense heritability estimates in both seasons were 0.51 and 0.85, respectively, for early ground cover, 0.91 and 0.94 for visual scoring, and 0.86 and 0.69 for grain yield. In this study, we revealed that testing winter wheat genotypes in the spring wheat zone rather than in the winter wheat zone could be a more effective way to unveil the positive relationship between the early ground cover and the grain yield. We have shown that the smartphone-based digital image technique is a useful selection tool for early ground cover in winter wheat.","PeriodicalId":50598,"journal":{"name":"Czech Journal of Genetics and Plant Breeding","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Czech Journal of Genetics and Plant Breeding","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.17221/91/2021-cjgpb","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

The relationship between the early ground cover and the grain yield in winter wheat is not yet fully understood. In a winter wheat breeding programme, selection for early ground cover is traditionally made using visual scoring. Although visual scoring is preferred as a phenotypic screening tool by wheat breeders, its output may not be reliable, as it requires experience. A smartphone camera-based digital image technique can be recommended as a feasible, reliable, repeatable, affordable, and fast selection tool for early ground cover in wheat as an alternative to visual scoring. For this purpose, two wheat trials were conducted in the 2017–2018 and 2019–2020 seasons. In both seasons, 215 wheat genotypes in total, together with three checks from spring wheat, were tested under rain-fed conditions in the spring wheat zone in Turkey. All the tested wheat genotypes were grouped into spring, facultative, and winter growth habit using visual scoring. Simultaneously, photos were taken from each plot with a smartphone camera, and the early ground cover (%) was estimated using the smartphone camera-based digital image technique. The relationships between grain yield, visual scoring, and early ground cover could so be estimated. In both seasons, significant negative correlation between grain yield and visual scoring (r = −0.679** and r = −0.704**, respectively) and significant positive correlation between the grain yield and the early ground cover (r = 0.745** and r = 0.747**, respectively) were observed. The correlation between visual scoring and early ground cover were negative (r = −0.862** and r = −0.926**, respectively). The broad sense heritability estimates in both seasons were 0.51 and 0.85, respectively, for early ground cover, 0.91 and 0.94 for visual scoring, and 0.86 and 0.69 for grain yield. In this study, we revealed that testing winter wheat genotypes in the spring wheat zone rather than in the winter wheat zone could be a more effective way to unveil the positive relationship between the early ground cover and the grain yield. We have shown that the smartphone-based digital image technique is a useful selection tool for early ground cover in winter wheat.
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
早期地被覆盖冬小麦表型分析
冬小麦早期地面覆盖与粮食产量之间的关系尚不完全清楚。在冬小麦育种计划中,早期地面覆盖物的选择传统上是使用视觉评分进行的。尽管视觉评分是小麦育种家首选的表型筛选工具,但其产量可能不可靠,因为它需要经验。基于智能手机摄像头的数字图像技术可以被推荐为一种可行、可靠、可重复、价格合理且快速的小麦早期地面覆盖选择工具,作为视觉评分的替代方案。为此,在2017-2018和2019-2020季节进行了两次小麦试验。在这两个季节,共有215种小麦基因型,以及来自春小麦的三种检查,在土耳其春小麦区的雨养条件下进行了测试。使用视觉评分将所有测试的小麦基因型分为春季、兼性和冬季生长习惯。同时,用智能手机摄像头从每个地块拍摄照片,并使用基于智能手机摄像头的数字图像技术估计早期地面覆盖率(%)。粮食产量、视觉评分和早期地面覆盖之间的关系可以这样估计。在这两个季节,粮食产量与视觉评分之间均呈显著负相关(分别为r=-0.679**和r=-0.704**),粮食产量和早期地面覆盖之间呈显著正相关性(分别为r=0.745**和r=0.747**)。视觉评分与早期地面覆盖之间的相关性为负(分别为r=−0.862**和r=−0.926**)。两个季节的广义遗传力估计值,早期地面覆盖分别为0.51和0.85,视觉评分分别为0.91和0.94,粮食产量分别为0.86和0.69。在这项研究中,我们发现,在春小麦区而不是在冬小麦区测试冬小麦基因型可能是揭示早期地面覆盖与粮食产量之间正相关关系的更有效方法。我们已经证明,基于智能手机的数字图像技术是冬小麦早期地面覆盖物的有用选择工具。
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
Czech Journal of Genetics and Plant Breeding
Czech Journal of Genetics and Plant Breeding Agricultural and Biological Sciences-Plant Science
CiteScore
2.20
自引率
0.00%
发文量
25
审稿时长
>12 weeks
期刊介绍: Original scientific papers, critical reviews articles and short communications from the field of theoretical and applied plant genetics, plant biotechnology and plant breeding. Papers are published in English.
期刊最新文献
Role of herbicide-tolerant (HT) rice in the weed management of direct seeded crop: Challenges and opportunities  Exploring potato diversity: A comprehensive genetic and phenotypic analysis of quantitative and qualitative traits  QTL mapping for heading date and plant height using a RIL population in rice in different photoperiod environments Isolation and expression analysis of the HvnAnt2 gene in qingke barley (Hordeum vulgare L. var. nudum Hook. f.) varieties with different grain colours List of Field Crop Varieties Registered in the Czech Republic in 2023
×
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