Literature DB >> 32574201

Quantitative trait loci for agronomic traits in tetraploid wheat for enhancing grain yield in Kazakhstan environments.

Shynar Anuarbek1,2, Saule Abugalieva1,3, Nicola Pecchioni4, Giovanni Laidò4, Marco Maccaferri5, Roberto Tuberosa5, Yerlan Turuspekov1,2.   

Abstract

Durum wheat (Triticum turgidum L. ssp. durum) is one of the top crops in Kazakhstan, where it is cultivated in different ecological niches, mainly at higher latitudes in the steppe zone of the northern region. Therefore, local breeding programs for durum wheat are primarily focused on selection for high productivity in Northern Kazakhstan based on the introduction of promising foreign germplasm and the adoption of marker-assisted selection. In this study, a world tetraploid wheat collection consisted of 184 primitive and domesticated accessions, which were previously genotyped using 16,425 polymorphic SNP markers, was field-tested in Northern and South-eastern Kazakhstan. The field tests have allowed the identification of 80 durum wheat promising lines in Northern Kazakhstan in comparison with a local standard cultivar. Also, GGE (Genotype and Genotype by Environment) biplot analyses for yield performance revealed that accessions of T. dicoccum, T. carthlicum, and T. turanicum also have potential to improve durum wheat yield in the region. The genome-wide association study (GWAS) has allowed the identification of 83 MTAs (marker-trait associations) for heading date, seed maturation time, plant height, spike length, number of fertile spikes, number of kernels per spike, and thousand kernel weight. The comparison of the 83 identified MTAs with those previously reported in GWAS for durum wheat suggests that 38 MTAs are presumably novel, while the co-localization of a large number of MTAs with those previously published confirms the validity of the results of this study. The MTAs reported herewith will provide the opportunity to implement marker-assisted selection in ongoing durum wheat breeding projects targeting higher productivity in the region.

Entities:  

Year:  2020        PMID: 32574201     DOI: 10.1371/journal.pone.0234863

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  4 in total

1.  Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerations.

Authors:  David L Hyten
Journal:  Methods Mol Biol       Date:  2022

2.  QTL mapping of agronomic traits in wheat using the UK Avalon ×  Cadenza reference mapping population grown in Kazakhstan.

Authors:  Akerke Amalova; Saule Abugalieva; Vladimir Chudinov; Grigoriy Sereda; Laura Tokhetova; Alima Abdikhalyk; Yerlan Turuspekov
Journal:  PeerJ       Date:  2021-02-18       Impact factor: 2.984

3.  Genome-wide association study of yield components in spring wheat collection harvested under two water regimes in Northern Kazakhstan.

Authors:  Akerke Amalova; Saule Abugalieva; Adylkhan Babkenov; Sandukash Babkenova; Yerlan Turuspekov
Journal:  PeerJ       Date:  2021-07-27       Impact factor: 2.984

4.  Genome-Wide Association Study of Leaf Rust and Stem Rust Seedling and Adult Resistances in Tetraploid Wheat Accessions Harvested in Kazakhstan.

Authors:  Yuliya Genievskaya; Nicola Pecchioni; Giovanni Laidò; Shynar Anuarbek; Aralbek Rsaliyev; Vladimir Chudinov; Alibek Zatybekov; Yerlan Turuspekov; Saule Abugalieva
Journal:  Plants (Basel)       Date:  2022-07-22
  4 in total

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