Genome-wide association analyses of 54 traits identified multiple loci for the determination of floret fertility in wheat

Genome-wide association analyses of 54 traits identified multiple loci for the determination of floret fertility in wheat

© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.

Bibliographische Detailangaben
Veröffentlicht in:The New phytologist. - 1979. - 214(2017), 1 vom: 01. Apr., Seite 257-270
1. Verfasser: Guo, Zifeng (VerfasserIn)
Weitere Verfasser: Chen, Dijun, Alqudah, Ahmad M, Röder, Marion S, Ganal, Martin W, Schnurbusch, Thorsten
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2017
Zugriff auf das übergeordnete Werk:The New phytologist
Schlagworte:Journal Article assimilate distribution candidate genes floret fertility genome-wide association study (GWAS) quantitative trait locus (QTL) spike morphology
Beschreibung
Zusammenfassung:© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.
Increasing grain yield is still the main target of wheat breeding; yet today's wheat plants utilize less than half of their yield potential. Owing to the difficulty of determining grain yield potential in a large population, few genetic factors regulating floret fertility (i.e. the difference between grain yield potential and grain number) have been reported to date. In this study, we conducted a genome-wide association study (GWAS) by quantifying 54 traits (16 floret fertility traits and 38 traits for assimilate partitioning and spike morphology) in 210 European winter wheat accessions. The results of this GWAS experiment suggested potential associations between floret fertility, assimilate partitioning and spike morphology revealed by shared quantitative trait loci (QTLs). Several candidate genes involved in carbohydrate metabolism, phytohormones or floral development colocalized with such QTLs, thereby providing potential targets for selection. Based on our GWAS results we propose a genetic network underlying floret fertility and related traits, nominating determinants for improved yield performance
Beschreibung:Date Completed 16.02.2018
Date Revised 09.04.2022
published: Print-Electronic
GENBANK: AF490475, AB259782, JX844798, KR935231, DQ116391, AB109215, DQ297407, FN400939, AY082962, AK069429
Citation Status MEDLINE
ISSN:1469-8137
DOI:10.1111/nph.14342