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Article
A zero altered Poisson random forest model for genomic-enabled prediction
(Genetics Society of America, 2021)
Article
Aerial high‐throughput phenotyping enables indirect selection for grain yield at the early generation, seed‐limited stages in breeding programs
(Crop Science Society of America (CSSA), 2020)
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Genomic-enabled prediction with classification algorithms
(Springer Nature, 2014)
Pearson’s correlation coefficient (ρ) is the most commonly reported metric of the success of prediction in genomic selection (GS). However, in real breeding ρ may not be very useful for assessing the quality of the regression ...
Article
A review of deep learning applications for genomic selection
(BioMed Central, 2021)
Article
Diversidad fenotípica y variantes distintivas de la raza Jala de maíz
(Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, 2006)
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Article
Multi-trait genomic-enabled prediction enhances accuracy in multi-year wheat breeding trials
(Genetics Society of America, 2021)
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Article