dc.creatorDang, D.
dc.creatorYuan Guan
dc.creatorHongjian Zheng
dc.creatorZhang, X.
dc.creatorAo Zhang
dc.creatorHui Wang
dc.creatorYanye Ruan
dc.creatorQing Li
dc.date2023-02-09T01:05:13Z
dc.date2023-02-09T01:05:13Z
dc.date2023
dc.date.accessioned2023-07-17T20:10:20Z
dc.date.available2023-07-17T20:10:20Z
dc.identifierhttps://hdl.handle.net/10883/22501
dc.identifier10.3390/plants12020303
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514244
dc.descriptionSweet corn and waxy corn has a better taste and higher accumulated nutritional value than regular maize, and is widely planted and popularly consumed throughout the world. Plant height (PH), ear height (EH), and tassel branch number (TBN) are key plant architecture traits, which play an important role in improving grain yield in maize. In this study, a genome-wide association study (GWAS) and genomic prediction analysis were conducted on plant architecture traits of PH, EH, and TBN in a fresh edible maize population consisting of 190 sweet corn inbred lines and 287 waxy corn inbred lines. Phenotypic data from two locations showed high heritability for all three traits, with significant differences observed between sweet corn and waxy corn for both PH and EH. The differences between the three subgroups of sweet corn were not obvious for all three traits. Population structure and PCA analysis results divided the whole population into three subgroups, i.e., sweet corn, waxy corn, and the subgroup mixed with sweet and waxy corn. Analysis of GWAS was conducted with 278,592 SNPs obtained from resequencing data; 184, 45, and 68 significantly associated SNPs were detected for PH, EH, and TBN, respectively. The phenotypic variance explained (PVE) values of these significant SNPs ranged from 3.50% to 7.0%. The results of this study lay the foundation for further understanding the genetic basis of plant architecture traits in sweet corn and waxy corn. Genomic selection (GS) is a new approach for improving quantitative traits in large plant breeding populations that uses whole-genome molecular markers. The marker number and marker quality are essential for the application of GS in maize breeding. GWAS can choose the most related markers with the traits, so it can be used to improve the predictive accuracy of GS.
dc.languageEnglish
dc.publisherMDPI
dc.relationhttps://www.mdpi.com/article/10.3390/plants12020303/s1
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source2
dc.source12
dc.source2223-7747
dc.sourcePlants
dc.source303
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectGenome-Wide Association Study
dc.subjectGenomic Prediction
dc.subjectEar Height
dc.subjectTassel Branch Number
dc.subjectWaxy Corn
dc.subjectGENOMICS
dc.subjectPLANT HEIGHT
dc.subjectSWEET CORN
dc.subjectWAXY MAIZE
dc.subjectMaize
dc.titleGenome-wide association study and genomic prediction on plant architecture traits in sweet corn and waxy corn
dc.typeArticle
dc.typePublished Version
dc.coverageBasel (Switzerland)


Este ítem pertenece a la siguiente institución