Advances in Genome-Wide Studies of Complex Agronomic Traits in Crops
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Genetics, Genomics and Biotechnology".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 6
Special Issue Editors
Interests: molecular mechanisms; regulatory network; QTL mapping; genome-wide association study
Special Issues, Collections and Topics in MDPI journals
Interests: genomics; domestication; population genetics; QTL mapping; genome-wide association study; complex traits
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Understanding the genetic basis of complex agronomic traits is essential for accelerating crop improvement in the face of climate change, food insecurity, and sustainability challenges. This Special Issue aims to highlight recent advances in genome-wide studies, including GWAS, QTL mapping, transcriptome-wide association studies (TWASs), and genomic prediction, that have unraveled the genetic architecture of yield, stress resistance, flowering time, nutrient use efficiency, and other key traits in crops. We welcome the submission of original research, reviews, and methodological advances that apply multi-omics integration, artificial intelligence (AI), machine learning (ML), or population genomics to decipher complex traits. Studies focusing on both major and underutilized crops, as well as comparative approaches across species, are encouraged. By compiling cutting-edge findings in this area, this issue aims to facilitate knowledge exchange and promote innovative strategies for crop genetic improvement.
Dr. Hantao Wang
Guest Editor
Dr. Chao Shen
Guest Editor Assistant
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- genome-wide association study (GWAS)
- quantitative trait loci (QTL)
- complex traits
- artificial intelligence (AI)
- machine learning
- crop genomics
- multi-omics integration
- genomic prediction
- agronomic traits
- population genomics
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