Genome-Wide Association Study and Genomic Prediction in Vegetable Crops
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Crop Breeding and Genetics".
Deadline for manuscript submissions: closed (25 April 2022) | Viewed by 508
Special Issue Editors
Interests: QTL mapping; GAWS; GP; molecular breeding; vegetable breeding
Interests: breeding for fruit quality; differential gene expression analysis; genomic selection; GWAS; molecular breeding; plant breeding; QTL mapping; resistance breeding; stress tolerance
Special Issues, Collections and Topics in MDPI journals
Interests: QTL analysis; GWAS; molecular breeding; organic and specialty crop breeding
Special Issue Information
Dear Colleagues,
Plant molecular breeding has been the foundation for crop improvement into the 21st century and has become part of breeding programs to expedite advances and genetic gains in many crops. Marker-assisted selection (MAS) has been successfully used in the selection of specific major genes/alleles in plant breeding. Recently, predictive breeding via genomic selection (GS) has become an essential tool in crop improvement. GS refers to selecting individuals’ performance within a population based on genomic estimated breeding values (GEBV). The decreasing cost of DNA sequencing renders GS affordable and powerful by providing high-density markers across the genome. GS has been shown to be more efficient over traditional MAS when dealing with small-effect quantitative trait loci (QTL). So far, genomic prediction (GP) as a GS parameter has been investigated in dozens of crops for various agronomic traits and abiotic and biotic stress traits. Genomic breeding value estimation in GP is the key step in GS. With the decreased genotyping cost and improved statistical methods, genome-wide association study (GWAS) and GS offer new approaches for the genetic improvement of complex traits in crop species. GWAS, based on a population of unrelated lines and high-density markers, has been used to identify candidate genes for a broad range of complex traits in different crops.
This Special Issue aims to collect research papers and reviews focusing on “Genome-Wide Association Study in Vegetable Crops”. Therefore, research articles, reviews, short notes, and opinion articles related to association mapping, genome-wide association study, genomic prediction, and genomic selection in vegetable crops are welcome to this Special Issue.
Dr. Ainong Shi
Dr. Dilip R. Panthee
Dr. Waltram Ravelombola
Dr. Gehendra Bhattarai
Guest Editors
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.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- genome-wide association study
- genomic prediction
- genomic selection
- marker-assisted selection
