Fecha/hora: 11/06/2024 23:39:55

Biblioteca(s): 	INIA Treinta y Tres.	
Fecha corriente: 	13/09/2021	
Fecha de la última actualización: 	14/09/2021	
Autoria: 	CRUZ, M.; ARBELAEZ, J. D.; LOAIZA, K.; CUASQUER, J.; ROSAS, J.E.; GRATEROL, E.	
Afiliación: 	MARIBEL CRUZ, FLAR (Fondo Latinoamericano para Arroz de Riego); CIAT (International Center for Tropical Agriculture), Colombia.; JUAN DAVID ARBELAEZ, Dep. of Crop Sciences, Univ. of Illinois, USA.; KATHERINE LOAIZA, FLAR (Fondo Latinoamericano para Arroz de Riego) ; CIAT (International Center for Tropical Agriculture), Colombia.; JUAN CUASQUER, CIAT (International Center for Tropical Agriculture), Colombia.; JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EDUARDO GRATEROL, FLAR (Fondo Latinoamericano para Arroz de Riego); CIAT (International Center for Tropical Agriculture), Colombia.	
Título: 	Genetic and phenotypic characterization of rice grain quality traits to define research strategies for improving rice milling, appearance, and cooking qualities in Latin America and the Caribbean.	
Año de publicación: 	2021	
Fuente/Imprenta: 	The Plant Genome, September, 2021 OPEN ACCESS, e20134.  Doi: https://doi.org/10.1002/tpg2.20134	
Páginas: 	16 p.	
DOI: 	10.1002/tpg2.20134	
Idioma: 	Inglés	
Notas: 	Article history: Received: 24 February 2021;  Accepted: 23 June 2021; Corresponding author Juan David Arbelaez  arbelaez@illinois.edu	
Contenido: 	Abstract
Rice (Oryza sativa L.)grain quality is a set of complex interrelated traits that include grain milling, appearance, cooking, and edible properties. As consumer preferences in Latin America and the Caribbean evolve, determining what traits best capture regional grain quality preferences is fundamental for breeding and cultivar release.
In this study, a genome-wide association study (GWAS), marker-assisted selection (MAS), and genomic selection (GS) were evaluated to help guide the development of new breeding strategies for rice grain quality improvement. For this purpose, 284 rice lines representing over 20 yr of breeding in Latin America and the Caribbean were genotyped and phenotyped for 10 different traits including grain milling, appearance, cooking, and edible quality traits. Genetic correlations among the 10 traits ranged from ?0.83 to 0.85. A GWAS identified 19 significant marker/trait combinations associated with eight grain quality traits. Four functional markers, three located in the Waxy and one in the starch synthase IIa genes, were significantly associated with six grain-quality traits. These markers individually explained 51?75% of the phenotypic variance depending on the trait, clearly indicating their potential utility for MAS.
Cross-validation studies to evaluate predictive abilities of four different GS models for each of the 10 quality traits were conducted and predictive abilities ranged from 0.3 to 0.72. Overall, the machine learning model random forest had the highest predictive abilities and was especially effective for traits where large effect quantitative trait loci were identified. This study provides the foundation for deploying effective molecular breeding strategies for grain quality in Latin American rice breeding programs.	
Palabras-Clave: 	CALIDAD CULINARIA; CALIDAD DE GRANO; CALIDAD DE LA SEMILLA; FITOMEJORAMIENTO; RICE.	
Categoría del tema: 	F30 Genética vegetal y fitomejoramiento	
URL: 	http://www.ainfo.inia.uy/digital/bitstream/item/15974/1/The-Plant-Genome-2021-Cruz.pdf	
Registro original: 	INIA Treinta y Tres (TT)	
Ejemplares: 	TT - (103338-1) - PXI - AP - DD - The Plant Genome/2021/CRUZ -  -  - DIS