热带双倍单倍体玉米品系在人工 Striga hermonthica (Del.) Benth.侵染。

IF 2.1 3区 生物学 Q3 GENETICS & HEREDITY G3: Genes|Genomes|Genetics Pub Date : 2024-10-07 DOI:10.1093/g3journal/jkae186
Joan J C Kimutai, Dan Makumbi, Juan Burgueño, Paulino Pérez-Rodríguez, Jose Crossa, Manje Gowda, Abebe Menkir, Angela Pacheco, Beatrice E Ifie, Pangirayi Tongoona, Eric Y Danquah, Boddupalli M Prasanna
{"title":"热带双倍单倍体玉米品系在人工 Striga hermonthica (Del.) Benth.侵染。","authors":"Joan J C Kimutai, Dan Makumbi, Juan Burgueño, Paulino Pérez-Rodríguez, Jose Crossa, Manje Gowda, Abebe Menkir, Angela Pacheco, Beatrice E Ifie, Pangirayi Tongoona, Eric Y Danquah, Boddupalli M Prasanna","doi":"10.1093/g3journal/jkae186","DOIUrl":null,"url":null,"abstract":"<p><p>Striga hermonthica (Del.) Benth., a parasitic weed, causes substantial yield losses in maize production in sub-Saharan Africa. Breeding for Striga resistance in maize is constrained by limited genetic diversity for Striga resistance within the elite germplasm and phenotyping capacity under artificial Striga infestation. Genomics-enabled approaches have the potential to accelerate identification of Striga resistant lines for hybrid development. The objectives of this study were to evaluate the accuracy of genomic selection for traits associated with Striga resistance and grain yield (GY) and to predict genetic values of tested and untested doubled haploid maize lines. We genotyped 606 doubled haploid lines with 8,439 rAmpSeq markers. A training set of 116 doubled haploid lines crossed to 2 testers was phenotyped under artificial Striga infestation at 3 locations in Kenya. Heritability for Striga resistance parameters ranged from 0.38-0.65 while that for GY was 0.54. The prediction accuracies for Striga resistance-associated traits across locations, as determined by cross-validation (CV) were 0.24-0.53 for CV0 and from 0.20 to 0.37 for CV2. For GY, the prediction accuracies were 0.59 and 0.56 for CV0 and CV2, respectively. The results revealed 300 doubled haploid lines with desirable genomic estimated breeding values for reduced number of emerged Striga plants (STR) at 8, 10, and 12 weeks after planting. The genomic estimated breeding values of doubled haploid lines for Striga resistance-associated traits in the training and testing sets were similar in magnitude. These results highlight the potential application of genomic selection in breeding for Striga resistance in maize. The integration of genomic-assisted strategies and doubled haploid technology for line development coupled with forward breeding for major adaptive traits will enhance genetic gains in breeding for Striga resistance in maize.</p>","PeriodicalId":12468,"journal":{"name":"G3: Genes|Genomes|Genetics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11457060/pdf/","citationCount":"0","resultStr":"{\"title\":\"Genomic prediction of the performance of tropical doubled haploid maize lines under artificial Striga hermonthica (Del.) Benth. infestation.\",\"authors\":\"Joan J C Kimutai, Dan Makumbi, Juan Burgueño, Paulino Pérez-Rodríguez, Jose Crossa, Manje Gowda, Abebe Menkir, Angela Pacheco, Beatrice E Ifie, Pangirayi Tongoona, Eric Y Danquah, Boddupalli M Prasanna\",\"doi\":\"10.1093/g3journal/jkae186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Striga hermonthica (Del.) Benth., a parasitic weed, causes substantial yield losses in maize production in sub-Saharan Africa. Breeding for Striga resistance in maize is constrained by limited genetic diversity for Striga resistance within the elite germplasm and phenotyping capacity under artificial Striga infestation. Genomics-enabled approaches have the potential to accelerate identification of Striga resistant lines for hybrid development. The objectives of this study were to evaluate the accuracy of genomic selection for traits associated with Striga resistance and grain yield (GY) and to predict genetic values of tested and untested doubled haploid maize lines. We genotyped 606 doubled haploid lines with 8,439 rAmpSeq markers. A training set of 116 doubled haploid lines crossed to 2 testers was phenotyped under artificial Striga infestation at 3 locations in Kenya. Heritability for Striga resistance parameters ranged from 0.38-0.65 while that for GY was 0.54. The prediction accuracies for Striga resistance-associated traits across locations, as determined by cross-validation (CV) were 0.24-0.53 for CV0 and from 0.20 to 0.37 for CV2. For GY, the prediction accuracies were 0.59 and 0.56 for CV0 and CV2, respectively. The results revealed 300 doubled haploid lines with desirable genomic estimated breeding values for reduced number of emerged Striga plants (STR) at 8, 10, and 12 weeks after planting. The genomic estimated breeding values of doubled haploid lines for Striga resistance-associated traits in the training and testing sets were similar in magnitude. These results highlight the potential application of genomic selection in breeding for Striga resistance in maize. The integration of genomic-assisted strategies and doubled haploid technology for line development coupled with forward breeding for major adaptive traits will enhance genetic gains in breeding for Striga resistance in maize.</p>\",\"PeriodicalId\":12468,\"journal\":{\"name\":\"G3: Genes|Genomes|Genetics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11457060/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"G3: Genes|Genomes|Genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/g3journal/jkae186\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"G3: Genes|Genomes|Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/g3journal/jkae186","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

摘要

Striga hermonthica (Del.) Benth.是一种寄生杂草,给撒哈拉以南非洲(SSA)的玉米生产造成了巨大的产量损失。玉米抗 Striga 的育种工作受到了限制,原因是精英种质中 Striga 抗性的遗传多样性和人工 Striga 侵染下的表型能力有限。基因组学方法有可能加快Striga抗性品系的鉴定,从而促进杂交育种的发展。本研究的目的是评估基因组选择与抗Striga和谷物产量(GY)相关性状的准确性,并预测经过测试和未经测试的双倍单倍体(DH)玉米品系的遗传值。我们用 8439 个 rAmpSeq 标记对 606 个 DH 株系进行了基因分型。由 116 个 DH 株系与两个测试者杂交组成的训练集在肯尼亚三个地点的人工 Striga 侵染条件下进行了表型分析。Striga抗性参数的遗传率为0.38-0.65,而GY的遗传率为0.54。通过交叉验证(CV)确定的不同地点的 Striga 抗性相关性状的预测准确度为:CV0 为 0.24 至 0.53,CV2 为 0.20 至 0.37。对于 GY,CV0 和 CV2 的预测准确率分别为 0.59 和 0.56。结果表明,有 300 个 DH 株系在播种后 8、10 和 12 周具有理想的基因组估计育种值(GEBVs),可减少出苗 Striga 株数(STR)。在训练集和测试集中,DH品系抗Striga相关性状的GEBV值大小相似。这些结果凸显了基因组选择在玉米抗Striga育种中的潜在应用。将基因组辅助策略和用于品系开发的 DH 技术与主要适应性性状的前瞻性育种相结合,将提高玉米抗Striga育种的遗传收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Genomic prediction of the performance of tropical doubled haploid maize lines under artificial Striga hermonthica (Del.) Benth. infestation.

Striga hermonthica (Del.) Benth., a parasitic weed, causes substantial yield losses in maize production in sub-Saharan Africa. Breeding for Striga resistance in maize is constrained by limited genetic diversity for Striga resistance within the elite germplasm and phenotyping capacity under artificial Striga infestation. Genomics-enabled approaches have the potential to accelerate identification of Striga resistant lines for hybrid development. The objectives of this study were to evaluate the accuracy of genomic selection for traits associated with Striga resistance and grain yield (GY) and to predict genetic values of tested and untested doubled haploid maize lines. We genotyped 606 doubled haploid lines with 8,439 rAmpSeq markers. A training set of 116 doubled haploid lines crossed to 2 testers was phenotyped under artificial Striga infestation at 3 locations in Kenya. Heritability for Striga resistance parameters ranged from 0.38-0.65 while that for GY was 0.54. The prediction accuracies for Striga resistance-associated traits across locations, as determined by cross-validation (CV) were 0.24-0.53 for CV0 and from 0.20 to 0.37 for CV2. For GY, the prediction accuracies were 0.59 and 0.56 for CV0 and CV2, respectively. The results revealed 300 doubled haploid lines with desirable genomic estimated breeding values for reduced number of emerged Striga plants (STR) at 8, 10, and 12 weeks after planting. The genomic estimated breeding values of doubled haploid lines for Striga resistance-associated traits in the training and testing sets were similar in magnitude. These results highlight the potential application of genomic selection in breeding for Striga resistance in maize. The integration of genomic-assisted strategies and doubled haploid technology for line development coupled with forward breeding for major adaptive traits will enhance genetic gains in breeding for Striga resistance in maize.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
G3: Genes|Genomes|Genetics
G3: Genes|Genomes|Genetics GENETICS & HEREDITY-
CiteScore
5.10
自引率
3.80%
发文量
305
审稿时长
3-8 weeks
期刊介绍: G3: Genes, Genomes, Genetics provides a forum for the publication of high‐quality foundational research, particularly research that generates useful genetic and genomic information such as genome maps, single gene studies, genome‐wide association and QTL studies, as well as genome reports, mutant screens, and advances in methods and technology. The Editorial Board of G3 believes that rapid dissemination of these data is the necessary foundation for analysis that leads to mechanistic insights. G3, published by the Genetics Society of America, meets the critical and growing need of the genetics community for rapid review and publication of important results in all areas of genetics. G3 offers the opportunity to publish the puzzling finding or to present unpublished results that may not have been submitted for review and publication due to a perceived lack of a potential high-impact finding. G3 has earned the DOAJ Seal, which is a mark of certification for open access journals, awarded by DOAJ to journals that achieve a high level of openness, adhere to Best Practice and high publishing standards.
期刊最新文献
CATG: Software for Collinearity-Based Genome Assembly Correction. A collection of split-Gal4 drivers targeting conserved signaling ligands in Drosophila. Wild yeast isolation by middle school students reveals features of populations residing on North American oaks. GenoTools: An Open-Source Python Package for Efficient Genotype Data Quality Control and Analysis. Testis- and ovary-expressed polo-like kinase transcripts and gene duplications affect male fertility when expressed in the Drosophila melanogaster germline.
×
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