ArticleFrontiers in genetics2022
Genome-wide association studies reveal putative QTLs for physiological traits under contrasting phosphorous conditions in wheat (
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Effects of Exogenous Phosphorus and Hydrogen Peroxide on Wheat Root Architecture.Plants (Basel, Switzerland) · 2026Article
- Genetic dissection for phosphorus uptake and utilization efficiency at seedling stage in wheat (Molecular breeding : new strategies in plant improvement · 2025Article
- Responses of natural plastisphere community and zooplankton to microplastic pollution: a review on novel remediation strategies.Archives of microbiology · 2025Review
- Rooting for resilience: central metaxylem area as a breeding target for yield gain and resilience in wheat (Triticum aestivum L.).BMC plant biology · 2025Article
- Role of functional genes for seed vigor related traits through genome-wide association mapping in finger millet (Eleusine coracana L. Gaertn.).Scientific reports · 2025Article
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- Identification and Characterization of theBiology · 2024Article
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Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A Genome-wide association (GWAS) study was conducted for phosphorous (P)-use responsive physiological traits in bread wheat at the seedling stage under contrasting P regimes. A panel of 158 diverse advanced breeding lines and released varieties, and a set of 10,800 filtered single nucleotide polymorphism (SNP) markers were used to study marker-trait associations over the eight shoot traits. Principle component analysis separated the two environments (P regimes) because of the differential response of the traits indicating the essentiality of the separate breeding programmes for each environment. Significant variations for genotypic, environmental, and genotype × environment (GEI) effects were observed for all the traits in the combined analysis of variance with moderately high broad sense heritability traits (0.50-0.73). With the different algorithms of association mapping viz., BLINK, FarmCPU, and MLM, 38 unique QTLs under non-limiting P (NLP) and 45 QTLs for limiting P (LP) conditions for various shoot traits were identified. Some of these QTLs were captured by all three algorithms. Interestingly, a Q.
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