Analysis of Complex Traits and Molecular Selection in Annual Crops—2nd Edition

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Crop Breeding and Genetics".

Deadline for manuscript submissions: 10 October 2024 | Viewed by 39

Special Issue Editors

College of Biological and Food Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China
Interests: genomics; domestication; population genetics; QTL mapping; genome-wide association study; complex traits
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Guest Editor
State Key Laboratory of Cotton Biology, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
Interests: molecular mechanisms; regulatory network; QTL mapping; genome-wide association study
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Special Issue Information

Dear Colleagues,

Following the first edition of this Special Issue, "Analysis of Complex Traits and Molecular Selection in Annual Crops", in Agronomy, the Editorial Office would like to launch a second edition. The subject, the editorial team, and the submission process will remain the same.

The agronomic traits of crops are some of the most pressing issues in agricultural production. Analyses of complex agronomic traits, such as crop yield, quality and stress resistance, molecular selection, and the construction as well as mining of complex relationship networks between crop genes and agronomic traits, represent the frontiers of and hot issues in crop research. The complex agronomic traits of crops are controlled by the effects of multiple genes, environments, gene–gene interactions, and gene–environment interactions. For a long time, there has been a lack of effective research that analyzes complex agronomic traits. With the development of high-throughput sequencing technology, we can comprehensively and systematically understand the compositions of complex agronomic traits and molecular selection breeding.

In this Special Issue, we seek integrative studies that highlight the genetic basis of complex agronomic traits in annual crops for molecular selection, including (but not limited to) the development of new techniques and methods in addition to the integration of multiple omics data for the analysis of complex agronomic traits, as well as reviews that offer original perspectives on the analysis of complex traits and molecular selection in annual crops.

Dr. Chao Shen
Dr. Hantao Wang
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

  • complex traits
  • QTL mapping
  • molecular selection
  • genome-wide association study
  • linkage mapping
  • genomics
  • population genetics
  • domestication and improvement

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Published Papers

This special issue is now open for submission.
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