Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Bernabe Cano-Paez"'
Autor:
Osval A. Montesinos-López, Leonardo Crespo-Herrera, Carolina Saint Pierre, Bernabe Cano-Paez, Gloria Isabel Huerta-Prado, Brandon Alejandro Mosqueda-González, Sofia Ramos-Pulido, Guillermo Gerard, Khalid Alnowibet, Roberto Fritsche-Neto, Abelardo Montesinos-López, José Crossa
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionBecause Genomic selection (GS) is a predictive methodology, it needs to guarantee high-prediction accuracies for practical implementations. However, since many factors affect the prediction performance of this methodology, its practical i
Externí odkaz:
https://doaj.org/article/bc352c418ea44b3aa88d1cf294b125fa
Autor:
Osval A. Montesinos-López, Arron H. Carter, David Alejandro Bernal-Sandoval, Bernabe Cano-Paez, Abelardo Montesinos-López, José Crossa
Publikováno v:
Genes; Volume 13; Issue 12; Pages: 2282
Genomic prediction is revolutionizing plant breeding since candidate genotypes can be selected without the need to measure their trait in the field. When a reference population contains both phenotypic and genotypic information, it is trained by a st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26dc668cc8cd90938301fcfcaaa678fc
https://pubmed.ncbi.nlm.nih.gov/36553547
https://pubmed.ncbi.nlm.nih.gov/36553547
Autor:
Osval A. Montesinos-López, Abelardo Montesinos-López, Bernabe Cano-Paez, Carlos Moisés Hernández-Suárez, Pedro C. Santana-Mancilla, José Crossa
Publikováno v:
Genes; Volume 13; Issue 8; Pages: 1494
Genomic selection (GS) changed the way plant breeders select genotypes. GS takes advantage of phenotypic and genotypic information to training a statistical machine learning model, which is used to predict phenotypic (or breeding) values of new lines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e0b5dc63ac617afb8331b6e300ad84b
https://doi.org/10.3390/genes13081494
https://doi.org/10.3390/genes13081494