|
|
Registros recuperados : 85 | |
4. | | REBOLLO, I.; AGUILAR, I.; ROSAS, J.E. Comparison of conventional and GBLUP Genome-Wide Association mapping of cold tolerance in 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. |
| |
15. | | CARRACELAS, G.; HORNBUCKLE, J.; ROSAS, J.E.; ROEL, A. Irrigation management strategies to increase water productivity in Oryza sativa (rice) in Uruguay. [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 Tacuarembó; INIA Treinta y Tres. |
| |
Registros recuperados : 85 | |
|
|
| Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
27/11/2019 |
Actualizado : |
10/02/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
-- - -- |
Autor : |
BONNECARRERE, V.; ROSAS, J.E.; FERRARO, B. |
Afiliación : |
MARIA VICTORIA BONNECARRERE MARTINEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN EDUARDO ROSAS CAISSIOLS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRUNO FERRARO ALBERTONI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Economic impact of marker-assisted selection and rapid generation advance on breeding programs. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
Euphytica, 2019, v. 215, a. 197. 11 p. doi: https://doi.org/10.1007/s10681-019-2529-8 |
DOI : |
10.1007/s10681-019-2529-8 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 19 August 2019 / Accepted: 5 November 2019 / Published online: 12 November 2019. |
Contenido : |
Abstract Plant breeding for the generation of cultivars adapted to local conditions has been an important and strategic concern of developing countries with
agriculture-based economies. Considering economic constraints, breeders must improve genetic gain to increase the delivery of better cultivars with lower costs, through the implementation of molecular breeding and rapid generation advance. The aim of this work is to assess the actual economic impact of the implementation of these technologies on genetic gain for yield, rice blast disease resistance, and grain amylose content in a conventional rice breeding program. This analysis is intended as a case study of public breeding programs in developing countries. To accomplish this objective, cost analyses and genetic gain estimations were performed for four rice breeding scenarios: conventional and marker-assisted selection, with and without rapid generation advance. These estimations were then used to develop a cost index reflecting the breeding efficiency. The most efficient method was found to depend on the objective trait considered. For yield, there are small variations in genetic gain, but in terms of costs, the application of technology increases the breeding efficiency. For rice blast resistance, marker-assisted selection is not an efficient option when not using rapid generation advance. Conversely, the efficiency of marker-assisted selection increases when using rapid generation advance. For grain amylose content, the greatest
effect on genetic gain is obtained when using marker-assisted selection. Rapid generation advance always increases the breeding efficiency. The use of new technological tools is recommended in terms of the cost?benefit function. MenosAbstract Plant breeding for the generation of cultivars adapted to local conditions has been an important and strategic concern of developing countries with
agriculture-based economies. Considering economic constraints, breeders must improve genetic gain to increase the delivery of better cultivars with lower costs, through the implementation of molecular breeding and rapid generation advance. The aim of this work is to assess the actual economic impact of the implementation of these technologies on genetic gain for yield, rice blast disease resistance, and grain amylose content in a conventional rice breeding program. This analysis is intended as a case study of public breeding programs in developing countries. To accomplish this objective, cost analyses and genetic gain estimations were performed for four rice breeding scenarios: conventional and marker-assisted selection, with and without rapid generation advance. These estimations were then used to develop a cost index reflecting the breeding efficiency. The most efficient method was found to depend on the objective trait considered. For yield, there are small variations in genetic gain, but in terms of costs, the application of technology increases the breeding efficiency. For rice blast resistance, marker-assisted selection is not an efficient option when not using rapid generation advance. Conversely, the efficiency of marker-assisted selection increases when using rapid generation advance. For grain amylose content, ... Presentar Todo |
Palabras claves : |
BREEDING EFFICIENCY; COST INDEX; GENETIC GAIN; MAS; PLANT BREEDING; RGA. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
Marc : |
LEADER 02560naa a2200241 a 4500 001 1060469 005 2020-02-10 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1007/s10681-019-2529-8$2DOI 100 1 $aBONNECARRERE, V. 245 $aEconomic impact of marker-assisted selection and rapid generation advance on breeding programs.$h[electronic resource] 260 $c2019 500 $aArticle history: Received: 19 August 2019 / Accepted: 5 November 2019 / Published online: 12 November 2019. 520 $aAbstract Plant breeding for the generation of cultivars adapted to local conditions has been an important and strategic concern of developing countries with agriculture-based economies. Considering economic constraints, breeders must improve genetic gain to increase the delivery of better cultivars with lower costs, through the implementation of molecular breeding and rapid generation advance. The aim of this work is to assess the actual economic impact of the implementation of these technologies on genetic gain for yield, rice blast disease resistance, and grain amylose content in a conventional rice breeding program. This analysis is intended as a case study of public breeding programs in developing countries. To accomplish this objective, cost analyses and genetic gain estimations were performed for four rice breeding scenarios: conventional and marker-assisted selection, with and without rapid generation advance. These estimations were then used to develop a cost index reflecting the breeding efficiency. The most efficient method was found to depend on the objective trait considered. For yield, there are small variations in genetic gain, but in terms of costs, the application of technology increases the breeding efficiency. For rice blast resistance, marker-assisted selection is not an efficient option when not using rapid generation advance. Conversely, the efficiency of marker-assisted selection increases when using rapid generation advance. For grain amylose content, the greatest effect on genetic gain is obtained when using marker-assisted selection. Rapid generation advance always increases the breeding efficiency. The use of new technological tools is recommended in terms of the cost?benefit function. 653 $aBREEDING EFFICIENCY 653 $aCOST INDEX 653 $aGENETIC GAIN 653 $aMAS 653 $aPLANT BREEDING 653 $aRGA 700 1 $aROSAS, J.E. 700 1 $aFERRARO, B. 773 $tEuphytica, 2019$gv. 215, a. 197. 11 p. doi: https://doi.org/10.1007/s10681-019-2529-8
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Treinta y Tres (TT) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|