AIMC Topic: Selective Breeding

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A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding.

G3 (Bethesda, Md.) Feb 7, 2019
Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes. For this reason, in this paper we explore the genomic ba...
Support Vector Machine Bayes Theorem Quantitative Trait, Heritable Plant Breeding Selective Breeding
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Cotton genotypes selection through artificial neural networks.

Genetics and molecular research : GMR Sep 27, 2017
Breeding programs currently use statistical analysis to assist in the identification of superior genotypes at various stages of a cultivar's development. Differently from these analyses, the computational intelligence approach has been little explore...
Neural Networks, Computer Genotype Models, Genetic Selection, Genetic Cotton Fiber Gossypium Quantitative Trait, Heritable Plant Breeding Selective Breeding
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