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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
15/10/2020 |
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Actualizado : |
21/05/2021 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
BASSO, C.; RIBEIRO, A.; CIBILS-STEWART, X.; CHIARAVALLE, W.; PUNSCHKE, K. |
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Afiliación : |
CESAR BASSO, Unidad de Entomología, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay.; ADELA RIBEIRO, Unidad de Entomología, Estación Experimental Dr. M.A. Cassinoni, Facultad de Agronomía, Universidad de la República, Paysandú, Uruguay.; XIMENA CIBILS-STEWART, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WILLY CHIARAVALLE, Entoagro. Roberto Koch, Montevideo, Uruguay.; KARINA PUNSCHKE, Registro de Agentes de Control Biológico, División Control de Insumos, Dirección General de Servicios Agrícolas, Ministerio de Ganadería, Agricultura y Pesca, Montevideo, Uruguay. |
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Título : |
Biological Control in Uruguay; [capítulo 30]. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
In: van Lenteren JC, Vanda HP, Bueno VHP, Luna MG, Yelitza C, Colmenarez YC. (Eds.). Biological control in Latin America and the Caribbean: it?s rich history and bright future. Wallingford: CAB International, 2020. |
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Páginas : |
p.453-463. |
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ISBN : |
978-1789-24-243-0 |
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Idioma : |
Inglés |
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Contenido : |
Abstract: The first reported case of biological control in Uruguay was an attempt to import the parasitoid Encarsia berlesei from Italy to manage the white peach scale in 1912, which failed due to high mortality during the long boat trip. Later introduction of the same parasitoid (in 1913) and the predator Lindorus lophanthae (in 1915) resulted in permanent control of peach scale. In the early 20th century, Uruguay was a pioneer in South America in the successful introduction of natural enemies of pests recently arrived in the country and was also a provider of biocontrol agents to other countries in the region by re-exporting these exotic species. Throughout this century the introduction and colonization of biocontrol agents continued. In the 1980s and 1990s, national production of entomopathogens and parasitoids was initiated. During this period (and until today), large-scale prospecting projects were executed to find and identify native natural enemies and microbial control agents in several important crops. The largest areas under classical biocontrol are currently in pine and eucalyptus plantations. Recently, government regulations for the registration and control of biocontrol products have been established in Uruguay. The first commercial biocontrol products on the market are used to manage pests in horticultural crops in greenhouses and for field crops such as soybeans, intended for local consumption and for export. Uruguay aspires to be recognized for the production of high-quality food. Biocontrol helps to realize this aspiration, because it contributes to food safety and adds to environmental protection. MenosAbstract: The first reported case of biological control in Uruguay was an attempt to import the parasitoid Encarsia berlesei from Italy to manage the white peach scale in 1912, which failed due to high mortality during the long boat trip. Later introduction of the same parasitoid (in 1913) and the predator Lindorus lophanthae (in 1915) resulted in permanent control of peach scale. In the early 20th century, Uruguay was a pioneer in South America in the successful introduction of natural enemies of pests recently arrived in the country and was also a provider of biocontrol agents to other countries in the region by re-exporting these exotic species. Throughout this century the introduction and colonization of biocontrol agents continued. In the 1980s and 1990s, national production of entomopathogens and parasitoids was initiated. During this period (and until today), large-scale prospecting projects were executed to find and identify native natural enemies and microbial control agents in several important crops. The largest areas under classical biocontrol are currently in pine and eucalyptus plantations. Recently, government regulations for the registration and control of biocontrol products have been established in Uruguay. The first commercial biocontrol products on the market are used to manage pests in horticultural crops in greenhouses and for field crops such as soybeans, intended for local consumption and for export. Uruguay aspires to be recognized for the production... Presentar Todo |
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Palabras claves : |
AGENTES DE BIOCONTROL; BIOCONTROL; CONTROL BIOLOGICO. |
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Thesagro : |
ENEMIGOS NATURALES; ENTOMOLOGIA; ENTOMOPATOGENOS; URUGUAY. |
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Asunto categoría : |
H10 Plagas de las plantas |
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Marc : |
LEADER 02548naa a2200277 a 4500
001 1061417
005 2021-05-21
008 2020 bl uuuu u00u1 u #d
020 $a978-1789-24-243-0
100 1 $aBASSO, C.
245 $aBiological Control in Uruguay; [capítulo 30].$h[electronic resource]
260 $c2020
300 $ap.453-463.
520 $aAbstract: The first reported case of biological control in Uruguay was an attempt to import the parasitoid Encarsia berlesei from Italy to manage the white peach scale in 1912, which failed due to high mortality during the long boat trip. Later introduction of the same parasitoid (in 1913) and the predator Lindorus lophanthae (in 1915) resulted in permanent control of peach scale. In the early 20th century, Uruguay was a pioneer in South America in the successful introduction of natural enemies of pests recently arrived in the country and was also a provider of biocontrol agents to other countries in the region by re-exporting these exotic species. Throughout this century the introduction and colonization of biocontrol agents continued. In the 1980s and 1990s, national production of entomopathogens and parasitoids was initiated. During this period (and until today), large-scale prospecting projects were executed to find and identify native natural enemies and microbial control agents in several important crops. The largest areas under classical biocontrol are currently in pine and eucalyptus plantations. Recently, government regulations for the registration and control of biocontrol products have been established in Uruguay. The first commercial biocontrol products on the market are used to manage pests in horticultural crops in greenhouses and for field crops such as soybeans, intended for local consumption and for export. Uruguay aspires to be recognized for the production of high-quality food. Biocontrol helps to realize this aspiration, because it contributes to food safety and adds to environmental protection.
650 $aENEMIGOS NATURALES
650 $aENTOMOLOGIA
650 $aENTOMOPATOGENOS
650 $aURUGUAY
653 $aAGENTES DE BIOCONTROL
653 $aBIOCONTROL
653 $aCONTROL BIOLOGICO
700 1 $aRIBEIRO, A.
700 1 $aCIBILS-STEWART, X.
700 1 $aCHIARAVALLE, W.
700 1 $aPUNSCHKE, K.
773 $tIn: van Lenteren JC, Vanda HP, Bueno VHP, Luna MG, Yelitza C, Colmenarez YC. (Eds.). Biological control in Latin America and the Caribbean: it?s rich history and bright future. Wallingford: CAB International, 2020.
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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
06/12/2019 |
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Actualizado : |
05/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
BERRO, I.; LADO, B.; NALIN, R.S.; QUINCKE, M.; GUTIÉRREZ, L. |
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Afiliación : |
Dep. of Agronomy, Univ. of Wisconsin, Madison, USA.; Facultad de Agronomía, Univ. de la República, Montevideo, Uruguay.; Dep. of Agronomy, Univ. of Wisconsin, Madison, USA.; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Dep. of Agronomy, Univ. of Wisconsin, Madison, USA./ Facultad de Agronomía, Univ. de la República, Montevideo, Uruguay. |
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Título : |
Training population optimization for genomic selection. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Plant Genome, November 2019, Volume 12, Issue 3, Article number 190028. OPEN ACCESS. DOI: https://doi.org/10.3835/plantgenome2019.04.0028 |
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DOI : |
10.3835/plantgenome2019.04.0028 |
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Idioma : |
Inglés |
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Notas : |
Article histoty: Received 1 Apr. 2019. /Accepted 23 Sept. 2019. |
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Contenido : |
ABSTRACT :The effectiveness of genomic selection in breeding programs depends on the phenotypic quality and depth, the
prediction model, the number and type of molecular markers, and the size and composition of the training population (TR).
Furthermore, population structure and diversity have a key role in the composition of the optimal training sets. Our goal was
to compare strategies for optimizing the TR for specific testing populations (TE). A total of 1353 wheat (Triticum aestivum
L.) and 644 rice (Oryza sativa L.) advanced lines were evaluated for grain yield in multiple environments. Several within-TR optimization
strategies were compared to identify groups of individuals with increased predictive ability. Additionally, optimization strategies
to choose individuals from the TR with higher predictive ability for a specific TE were compared. There is a benefit in considering
both the population structure and the relationship between the TR and the TE when designing an optimal TR for genomic
selection. A weighted relationship matrix with stratified sampling is the best strategy for forward predictions of quantitative traits in
populations several generations apart. Genomic selection (GS) consists of selecting individuals from a TE on the basis of genotypic values predicted from their genome-wide molecular marker scores and a statistical model adjusted with individuals that have phenotypic and genotypic information (Meuwissen et al., 2001). The group of individuals that were phenotyped and genotyped is called the TR (Heffner et al. 2009). MenosABSTRACT :The effectiveness of genomic selection in breeding programs depends on the phenotypic quality and depth, the
prediction model, the number and type of molecular markers, and the size and composition of the training population (TR).
Furthermore, population structure and diversity have a key role in the composition of the optimal training sets. Our goal was
to compare strategies for optimizing the TR for specific testing populations (TE). A total of 1353 wheat (Triticum aestivum
L.) and 644 rice (Oryza sativa L.) advanced lines were evaluated for grain yield in multiple environments. Several within-TR optimization
strategies were compared to identify groups of individuals with increased predictive ability. Additionally, optimization strategies
to choose individuals from the TR with higher predictive ability for a specific TE were compared. There is a benefit in considering
both the population structure and the relationship between the TR and the TE when designing an optimal TR for genomic
selection. A weighted relationship matrix with stratified sampling is the best strategy for forward predictions of quantitative traits in
populations several generations apart. Genomic selection (GS) consists of selecting individuals from a TE on the basis of genotypic values predicted from their genome-wide molecular marker scores and a statistical model adjusted with individuals that have phenotypic and genotypic information (Meuwissen et al., 2001). The group of individ... Presentar Todo |
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Palabras claves : |
GENOMIC SELECTION; SELECCIÓN GENÓMICA. |
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Thesagro : |
TRIGO; TRITICUM AESTIVUM. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16707/1/The-Plant-Genome-2019-Berro-Training-Population-Optimization-for-Genomic-Selection.pdf
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.3835/plantgenome2019.04.0028
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Marc : |
LEADER 02385naa a2200241 a 4500
001 1060511
005 2022-09-05
008 2019 bl uuuu u00u1 u #d
024 7 $a10.3835/plantgenome2019.04.0028$2DOI
100 1 $aBERRO, I.
245 $aTraining population optimization for genomic selection.$h[electronic resource]
260 $c2019
500 $aArticle histoty: Received 1 Apr. 2019. /Accepted 23 Sept. 2019.
520 $aABSTRACT :The effectiveness of genomic selection in breeding programs depends on the phenotypic quality and depth, the prediction model, the number and type of molecular markers, and the size and composition of the training population (TR). Furthermore, population structure and diversity have a key role in the composition of the optimal training sets. Our goal was to compare strategies for optimizing the TR for specific testing populations (TE). A total of 1353 wheat (Triticum aestivum L.) and 644 rice (Oryza sativa L.) advanced lines were evaluated for grain yield in multiple environments. Several within-TR optimization strategies were compared to identify groups of individuals with increased predictive ability. Additionally, optimization strategies to choose individuals from the TR with higher predictive ability for a specific TE were compared. There is a benefit in considering both the population structure and the relationship between the TR and the TE when designing an optimal TR for genomic selection. A weighted relationship matrix with stratified sampling is the best strategy for forward predictions of quantitative traits in populations several generations apart. Genomic selection (GS) consists of selecting individuals from a TE on the basis of genotypic values predicted from their genome-wide molecular marker scores and a statistical model adjusted with individuals that have phenotypic and genotypic information (Meuwissen et al., 2001). The group of individuals that were phenotyped and genotyped is called the TR (Heffner et al. 2009).
650 $aTRIGO
650 $aTRITICUM AESTIVUM
653 $aGENOMIC SELECTION
653 $aSELECCIÓN GENÓMICA
700 1 $aLADO, B.
700 1 $aNALIN, R.S.
700 1 $aQUINCKE, M.
700 1 $aGUTIÉRREZ, L.
773 $tPlant Genome, November 2019, Volume 12, Issue 3, Article number 190028. OPEN ACCESS. DOI: https://doi.org/10.3835/plantgenome2019.04.0028
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