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GWAS for QTLs associated with agronomic traits in Chickpea (Cicer arietinum L.) harvested in South-East Kazakhstan
Journal article   Open access   Peer reviewed

GWAS for QTLs associated with agronomic traits in Chickpea (Cicer arietinum L.) harvested in South-East Kazakhstan

Alibek Zatybekov, Yuliya Genievskaya, Shynar Anuarbek, Rajeev K Varshney, Rutwik Barmukh, Mukhtar Kudaibergenov, Yerlan Turuspekov and Saule Abugalieva
BMC plant biology, Vol.26, 42
2025
PMID: 41331428
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CC BY-NC-ND V4.0 Open Access

Abstract

Chickpea Yield components GWAS QTL mapping
Background Chickpea (Cicer arietinum L.) is vital for global food security; however, its productivity is limited by genotype-environment interactions and restricted genetic diversity. This study dissected the genetic architecture of six agronomic traits in chickpea using genome-wide association studies (GWAS) to identify stable quantitative trait loci (QTLs). Results Phenotypic analysis of 238 chickpea accessions across three growing seasons revealed significant variation in plant height (PH), height to lowest pod (HLP), number of lateral branches (NLB), number of seeds per plant (NSP), thousand-seed weight (TSW), and yield per plant (YP). Broad-sense heritability (h2) ranged from 0.15 (NSP) to 0.88 (TSW). GWAS identified 40 stable QTLs, including major-effect loci on chromosomes 2 (Q_YP_2.1, R² = 0.45) and 4 (Q_TSW_4.1, R² = 0.22). Candidate genes linked to polyamine biosynthesis (LOC101508792) and carbohydrate metabolism (LOC101492955) were implicated. Conclusions The study highlights the potential of marker-assisted selection for enhancing chickpea resilience and productivity, particularly in drought-prone regions such as Kazakhstan.

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#2 Zero Hunger
#12 Responsible Consumption & Production

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