Prediction accuracy of genomic selection models for earliness in tomato

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:33:18Z
Fecha de publicación2020-01-01
ResumenGenomic selection is considered to be an important tool in plant breeding programs. However, its application in the earliness of tomato (Solanum lycopersicum L.) has not been studied. The objective of the present study was to evaluate the prediction performance of six statistical models for six quantitative characteristics related to earliness in tomato. The study used phenotypic and genotypic data belonging to an F2 population consisting of 172 tomato plants. Simple sequence repeat (SSR) markers were obtained using genotypic information, and the genomic values were estimated by the following six different statistical models: Bayesian Lasso (BL), Bayesian ridge regression (BRR), BayesA, BayesB, BayesC pi, and reproducing kernel Hilbert spaces (RKIIS) regression. The correlation values ranged from 0.17 to 0.57. The highest association values were found in days to flowering of the third inflorescence and 1000-seed weight, which were greater than 0.5. In general, all the models performed in a similar manner because only slight differences were observed among the correlation values. Specifically, BL, BayesB, and MIS exhibited the highest Pearson correlation values for most traits. According to the results, genomic selection could be a useful tool to support tomato breeding focused on earliness.es_ES
Doihttps://doi.org/10.4067/s0718-58392020000400505es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/5115
Idiomaenes_ES
EditorialINST INVESTIGACIONES AGROPECUARIAS - INIAes_ES
RelaciónChilean Journal of Agricultural Researches_ES
URL relacionadohttps://doi.org/10.4067/s0718-58392020000400505es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteChilean Journal of Agricultural Research
Palabra claveGenetic gaines_ES
Palabra clavegenomic selectiones_ES
Palabra claveSolanum lycopersicumes_ES
Palabra clavestatistical modelses_ES
TítuloPrediction accuracy of genomic selection models for earliness in tomatoes_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorHernandez-Bautista, Aurelio
AutorLobato-Ortiz, Ricardo
AutorJesus Garcia-Zavala, J.
AutorCruz-Izquierdo, Serafin
AutorLuis Chavez-Servia, Jose
AutorRocandio-Rodriguez, Mario
AutorDel Rocio Moreno-Ramirez, Yolanda
AutorHernandez-Leal, Enrique
AutorHernandez-Rodriguez, Martha
AutorReyes-Lopez, Delfino
AutorHernandez-Bautista, Aurelioes_ES
AutorLobato-Ortiz, Ricardoes_ES
AutorJesus Garcia-Zavala, J.es_ES
AutorCruz-Izquierdo, Serafines_ES
AutorLuis Chavez-Servia, Josees_ES
AutorRocandio-Rodriguez, Marioes_ES
AutorDel Rocio Moreno-Ramirez, Yolandaes_ES
AutorHernandez-Leal, Enriquees_ES
AutorHernandez-Rodriguez, Marthaes_ES
AutorReyes-Lopez, Delfinoes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número4es_ES
Rango de páginas505-514es_ES
URL relacionadahttps://doi.org/10.4067/s0718-58392020000400505
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen80es_ES

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