|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
Fecha : |
12/03/2019 |
Actualizado : |
12/03/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
QUERO, G.; GUTIÉRREZ, L.; MONTEVERDE, E.; BLANCO, P.H.; PÉREZ DE VIDA, F.; ROSAS, J.E.; FERNANDEZ, S.; GARAYCOCHEA, S.; MC COUCH, S.; BERBERIAN, N.; SIMONDI, S.; BONNECARRERE, V. |
Afiliación : |
GASTÓN QUERO CORRALLO, Universidad de la República (UdelaR)/ Facultad de Agronomía; INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCÍA GUTIÉRREZ, Dep. of Agronomy, Univ. of Wisconsin-Madison, United States.; Universidad de la República (UdelaR)/ Facultad de Agronomía; ELIANA MONTEVERDE, Dep. of Plant Breeding and Genetics, Cornell Univ., United States; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SCHUBERT DANIEL FERNANDEZ REGGIARDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SILVIA RAQUEL GARAYCOCHEA SOLSONA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SUSAN MCCOUCH, Dep. of Plant Breeding and Genetics, Cornell Univ., United States; NATALIA BERBERIAN, Universidad de la República (UdelaR)/ Facultad de Agronomía; SEBASTIÁN SIMONDI, College of Natural and Exact Sciences, Univ. Nacional de Cuyo, Argentina; MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Plant Genome, 2018, Volume 11, Article number 170076. Open Access. |
ISSN : |
1940-3372 |
DOI : |
10.3835/plantgenome2017.08.0076 |
Idioma : |
Inglés |
Notas : |
Article history: Received: Aug 25, 2017 // Accepted: Apr 09, 2018 // Published: July 12, 2018.
Permissions: This is an open access article under the CC BY-NC-ND license. Proper attribution is required for reuse. No permissions are needed for reuse unless it is derivative or for commercial purposes. |
Contenido : |
Abstract.
Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs.
© 2018 Crop Science Society of America MenosAbstract.
Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after mil... Presentar Todo |
Palabras claves : |
FOOD GRAIN; GENETIC SELECTION; GENETIC VARIATION; GENETICS; MILLED RICE; PLANT BREEDING. |
Thesagro : |
ORYZA SATIVA; RICE. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12507/1/tpg-11-3-170076.pdf
https://dl.sciencesocieties.org/publications/tpg/abstracts/11/3/170076
|
Marc : |
LEADER 03044naa a2200385 a 4500 001 1059613 005 2019-03-12 008 2018 bl uuuu u00u1 u #d 022 $a1940-3372 024 7 $a10.3835/plantgenome2017.08.0076$2DOI 100 1 $aQUERO, G. 245 $aGenome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.$h[electronic resource] 260 $c2018 500 $aArticle history: Received: Aug 25, 2017 // Accepted: Apr 09, 2018 // Published: July 12, 2018. Permissions: This is an open access article under the CC BY-NC-ND license. Proper attribution is required for reuse. No permissions are needed for reuse unless it is derivative or for commercial purposes. 520 $aAbstract. Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs. © 2018 Crop Science Society of America 650 $aORYZA SATIVA 650 $aRICE 653 $aFOOD GRAIN 653 $aGENETIC SELECTION 653 $aGENETIC VARIATION 653 $aGENETICS 653 $aMILLED RICE 653 $aPLANT BREEDING 700 1 $aGUTIÉRREZ, L. 700 1 $aMONTEVERDE, E. 700 1 $aBLANCO, P.H. 700 1 $aPÉREZ DE VIDA, F. 700 1 $aROSAS, J.E. 700 1 $aFERNANDEZ, S. 700 1 $aGARAYCOCHEA, S. 700 1 $aMC COUCH, S. 700 1 $aBERBERIAN, N. 700 1 $aSIMONDI, S. 700 1 $aBONNECARRERE, V. 773 $tPlant Genome, 2018, Volume 11, Article number 170076. Open Access.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registros recuperados : 85 | |
26. | | SCHEFFEL, S.; REBOLLO, I.; PÉREZ DE VIDA, F.; ROSAS, J.E. Consolidating INIA's Rice Breeding Program Database, phase I: historical índica trials.[Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
| |
27. | | REBOLLO, I.; AGUILAR, I.; PÉREZ DE VIDA, F.; MOLINA, F.; GUTIÉRREZ, L.; ROSAS, J.E. Genotype by environment interaction characterization and its modeling with random regression to climatic variables in two rice breeding populations. Original article. Crop Science. 2023, Volume 63, Issue 4, Pages 2220-2240. https://doi.org/10.1002/csc2.21029 -- OPEN ACCESS. Article history: Received 21 November 2022, Accepted 10 May 2023, Published online 16 June 2023. -- Correspondence: Rosas, J.E.; INIA, Estación Experimental Treinta y Tres, Road 8 km 281, Treinta y Tres, Uruguay; email:jrosas@inia.org.uy...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
| |
28. | | MONTEVERDE, E.; SCHEFFEL, S.; REBOLLO, I.; MOLINA, F.; PÉREZ DE VIDA, F.; ROSAS, J.E. Ganancia genética del Programa de Mejoramiento Genético de Arroz de INIA. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B. (Eds.) Arroz 2021. Montevideo (UY): INIA, 2022. p. 68-70. (INIA Serie Técnica; 262)Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Treinta y Tres. |
| |
30. | | CRUZ, M.; ARBELAEZ, J. D.; LOAIZA, K.; CUASQUER, J.; ROSAS, J.E.; GRATEROL, E. 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. The Plant Genome, September, 2021 OPEN ACCESS, e20134. Doi: https://doi.org/10.1002/tpg2.20134 16 p. Article history: Received: 24 February 2021; Accepted: 23 June 2021; Corresponding author Juan David Arbelaez arbelaez@illinois.eduTipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : -- - -- |
Biblioteca(s): INIA Treinta y Tres. |
| |
31. | | ALE, L.; VERGER, M.; FELDMANN, J.; PÉREZ DE VIDA, F.; ROSAS, J.E. Genetics of grain arsenic content in two advanced rice breeding populations. [Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.Biblioteca(s): INIA Treinta y Tres. |
| |
36. | | ALE, L.; VERGER, M.; RAAB, A.; FELDMANN, J.; PÉREZ DE VIDA, F.; ROSAS, J.E. Mapeo asociativo de arsénico en grano de arroz en germoplasma avanzado de INIA. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B.; Álvarez, O. (Eds.) Arroz 2020. Montevideo (UY): INIA, 2020. p. 1-4. (INIA Serie Técnica; 257)Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Treinta y Tres. |
| |
37. | | RUIZ GONZÁLEZ, S.; ROSAS, J.E.; MATTOS, N.; MORTALENA, M.; LOPEZ, V.; BARLOCCO, C.; BEYHAUT, E. Mapeo asociativo de la fijación biológica de nitrógeno en germoplasma avanzado del programa de mejoramiento genético de soja de INIA. O6. Módulo 2: Integración de información sobre el microbioma en el manejo de sistemas de producción y en el mejoramiento genético. In: Abreo, E.; Beyhaut, E.; Rivas, F. (Eds.). Simposio Microorganismos para la Agricultura, 2. [Resúmenes y Posters]. Canelones (UY): INIA, 2022. p.14. (Serie Actividades de Difusión; 797)801 Proyecto: Maximización de la fijación biológica de nitrógeno en el cultivo de soja. Beca: INIA. Fuente financiamiento: INIA.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Las Brujas. |
| |
40. | | MOLINA, F.; MARTÍNEZ, S.; PÉREZ DE VIDA, F.; ROSAS, J.E.; BLANCO, P.H. New Clearfield rice lines - Uruguay Rice Breeden Program. [Abstract] + [Poster]. In: International Temperate Rice Conference (7., 2020, Pelotas, RS), Science & Innovation: feeding a world of 10 billion people: proceedings. Pelotas RS, Brasil, February 9-12, 2020. Brasília, DF : Embrapa, 2020.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Treinta y Tres. |
| |
Registros recuperados : 85 | |
|
Expresión de búsqueda válido. Check! |
|
|