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Quantitative Trait Loci (QTL) Mapping for Disease Resistance in Crop Species Using Advanced Biostatistical Approaches

Year: 2024

Type: article

Abstract: Quantitative Trait Loci (QTL) However, continued mapping of the genetic region(s) in disease resistance in crop species is indispensable for the development of high-yielding, robust crop species. Phenotypic trait-based QTL mapping is a bridge between a specific genomic region and a genetic marker of resistance to disease on the population level or to a translated genetic marker of disease resistance. Using advanced biostatistical methods, such as mixed models and Bayesian inference, this study increases the accuracy and resolution of QTL identification (e.g., wheat, rice, and maize). It is found that a more robust analysis can furnish additional robustness that considers the interaction of environment and genetic variance and population structure, both significant yet frequently neglected facets in standard QTL mapping. By combining crop breeders with genomics-based cutting-edge biostatistical tools, we can choose plants resistant to disease.

Source: Global Drug Design & Development Review

DOI: 10.31703/gdddr.2024(ix-iii).01

Authors: Hafiza Sadia Rasool, Shagufta Muhammad Hanif, Nida Khanim

Institutions: Lahore College for Women University, Federal Urdu University, Abbottabad University of Science and Technology

Language: English

Topic: Genetic Mapping and Diversity in Plants and Animals

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Zero hunger

Open Access status: hybrid

OpenAlex ID: W4404884153

FWCI:

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