Plant Genomics and Genomic Prediction for Crop Improvement

A Special Issue of Plants (ISSN 2223-7747) belonging to the section "Plant Genetics, Genomics and Biotechnology".

Deadline for manuscript submissions: 31 March 2027 | Viewed by 64

Editor


E-Mail Website
Guest Editor
Max Planck Institute for Plant Breeding Research, Cologne, Germany
Interests: genomic prediction; quantitative genetics; statistical genetics; plant breeding; molecular breeding; genomic selection; marker-assisted selection; bioinformatics

Special Issue Information

Dear Colleagues,

With the advancement of modern sequencing technologies, these technologies provide high-density molecular markers to dissect plants’ complex gene networks, which is essential for crop improvement. Moreover, genotyping cost is becoming increasingly cheap, making it possible to genotype thousands of individuals and to apply genomic selection in crop improvement. Genomic prediction is a promising approach in plant breeding and is being applied intensively in modern commercial plant breeding companies. The Special Issue aims to publish recent progress in plant genomics to dissect key genes and their regulatory network for yield and disease resistance; to use various advanced statistical models for genomic prediction and application in diverse plant breeding programs; to compare traditional linear models with the latest artificial intelligence approaches for genome prediction, integrating genomics, phenomics, and environomics data for genomic prediction; and to utilize various advanced quantitative and statistical genetics methods to enhance the efficiency of genomic selection for crop improvement.

Dr. Jinquan Li
Guest Editor

Manuscript Submission Information

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Keywords

  • plant genomics
  • crop genetics
  • genomic prediction
  • plant breeding
  • molecular breeding
  • GxE interaction
  • machine learning
  • phenomics
  • enviromics

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Published Papers

This special issue is now open for submission.
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