Advancements in QTL Mapping and GWAS Application in Plant Improvement

dc.contributor.authorAltaf, Muhammad Tanveer
dc.contributor.authorTatar, Muhammed
dc.contributor.authorAli, Amjad
dc.contributor.authorLiaqat, Waqas
dc.contributor.authorMortazvi, Parnaz
dc.contributor.authorKayihan, Ceyhun
dc.contributor.authorOlmez, Fatih
dc.contributor.authorNadeem, Muhammad Azhar
dc.contributor.authorJaved, Jazib
dc.contributor.authorGou, Jin-Ying
dc.contributor.authorWang, Meng-Lu
dc.contributor.authorUmar, Ummad Ud Din
dc.contributor.authorDasgan, Hayriye Yildiz
dc.contributor.authorKurt, Cemal
dc.contributor.authorYildiz, Mehtap
dc.contributor.authorMansoor, Sheikh
dc.contributor.authorDababat, Abdelfattah A.
dc.contributor.authorCeliktas, Nafiz
dc.contributor.authorBaloch, Faheem Shehzad
dc.date.accessioned2025-04-10T06:52:48Z
dc.date.issued2024
dc.description.abstractIn modern plant breeding, molecular markers have become indispensable tools, allowing the precise identification of genetic loci linked to key agronomic traits. These markers provide critical insight into the genetic architecture of crops, accelerating the selection of desirable traits for sustainable agriculture. This review focuses on the advancements in quantitative trait locus (QTL) mapping and genome-wide association studies (GWASs), highlighting their effective roles in identifying complex traits such as stress tolerance, yield, disease resistance, and nutrient efficiency. QTL mapping identifies the significant genetic regions linked to desired traits, while GWASs enhance precision using larger populations. The integration of high-throughput phenotyping has further improved the efficiency and accuracyof QTL research and GWASs, enabling precise trait analysis across diverse conditions. Additionally, next-generation sequencing, clustered regularly interspaced short palindromic repeats (CRISPR) technology, and transcriptomics have transformed these methods, offering profound insights into gene function and regulation. Single-cell RNA sequencing further enhances our understanding of plant responses at the cellular level, especially under environmental stress. Despite this progress, however, challenges persist in optimizing methods, refining training populations, and integrating these tools into breeding programs. Future studies must aim to enhance genetic prediction models, incorporate advanced molecular technologies, and refine functional markers to tackle the challenges of sustainable agriculture.
dc.identifier.issn1300-008X
dc.identifier.scopus2-s2.0-85213974655
dc.identifier.urihttps://hdl.handle.net/11727/12833
dc.identifier.wos001385974400003
dc.language.isoen_US
dc.publisherTURKISH JOURNAL OF BOTANY
dc.subjectgenomic selection
dc.subjectnext-generation sequencing
dc.subjectgenome-wide association studies
dc.subjectplant breeding
dc.subjectMolecular markers
dc.subjectQTL mapping
dc.titleAdvancements in QTL Mapping and GWAS Application in Plant Improvement
dc.typeArticle

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