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The Plant Genome special issue: Advances in genomic selection and application of machine learning in genomic prediction for crop improvement

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Relation http://oar.icrisat.org/12759/
https://acsess.onlinelibrary.wiley.com/doi/10.1002/tpg2.20178
https://doi.org/10.1002/tpg2.20178
 
Title The Plant Genome special issue: Advances in genomic selection and application of machine learning in genomic prediction for crop improvement
 
Creator Varshney, R K
 
Subject Crop Improvement
Genetics and Genomics
 
Description Since Meuwissen et al. (2001) proposed the idea of using genome-wide marker information for prediction of the genetic worth of untested individuals, the concept of genomic selection (GS) has spawned a series of publications over the last two decades in animals and plants alike. Advances in genomic profiling and phenotyping have given a strong impetus to application of GS in plant breeding (Crossa et al., 2017; Varshney et al., 2017). Empirical and simulation studies suggest that GS can improve the rate of genetic gain in plant breeding programs via influencing the various parameters of the breeder's equation (Sinha et al., 2021). Concurrent advances in methods of genomic prediction including parametric and non-parametric have resulted in considerable improvements in the prediction accuracies of different GS models. The rising complexity of datasets emanating from high throughput genotyping, phenotyping and omics systems calls for harnessing the enormous potential of machine learning (ML) tools for prediction of plant performance (Varshney et al., 2021a). This issue on “Advances in genomic selection and application of machine learning in genomic prediction” presents 14 articles from leading experts in this field. Key highlights of these articles are summarized here in this editorial.
 
Publisher Crop Science Society of America
 
Date 2021-11-22
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Rights cc_attribution
 
Identifier http://oar.icrisat.org/12759/1/The%20Plant%20Genome_14_3_1-4_2021.pdf
Varshney, R K (2021) The Plant Genome special issue: Advances in genomic selection and application of machine learning in genomic prediction for crop improvement. The Plant Genome (TSI), 14 (3). pp. 1-4. ISSN 1940-3372