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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha : |
19/12/2022 |
Actualizado : |
19/12/2022 |
Tipo de producción científica : |
Libros |
Autor : |
BRANCHICCELA, B.; SANTOS, E.; SALVARREY, S.; ANTÚNEZ, K.; ARBULO, N. |
Afiliación : |
MARIA BELEN BRANCHICCELA CORREA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Instituto de Investigaciones Biológicas Clemente Estable (IIBCE).; ESTELA SANTOS, Facultad de Ciencias, Universidad de la República (Udelar).; SHEENA SALVARREY, Facultad de Ciencias, Universidad de la República (Udelar).; KARINA ANTÚNEZ, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE).; NATALIA ARBULO, Centro Universitario Regional del Este. Universidad de la República(CURE-Udelar). |
Título : |
Mucho más que miel: abejas del Uruguay. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Montevideo (Uruguay): ANII; INIA, 2022. |
Páginas : |
s.p. |
ISBN : |
978-9915-41-429-4 |
Idioma : |
Español |
Notas : |
Ilustraciones, diagramación y diseño de: Elis Montagne y María Leguizamón.
Otras instituciones participantes: Ministerio de Educación y Cultura (MEC). Centro Universitario Regional Este (CURE). Universidad de la República (UdelaR). Comisión Honoraria de Desarrollo Apícola (CHDA). |
Contenido : |
Información para nivel escolar. |
Palabras claves : |
ABEJAS; APICULTURA; MIEL; URUGUAY. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
Marc : |
LEADER 00907nam a2200241 a 4500 001 1063842 005 2022-12-19 008 2022 bl uuuu u00u1 u #d 020 $a978-9915-41-429-4 100 1 $aBRANCHICCELA, B. 245 $aMucho más que miel$babejas del Uruguay.$h[electronic resource] 260 $aMontevideo (Uruguay): ANII; INIA$c2022 300 $as.p. 500 $aIlustraciones, diagramación y diseño de: Elis Montagne y María Leguizamón. Otras instituciones participantes: Ministerio de Educación y Cultura (MEC). Centro Universitario Regional Este (CURE). Universidad de la República (UdelaR). Comisión Honoraria de Desarrollo Apícola (CHDA). 520 $aInformación para nivel escolar. 653 $aABEJAS 653 $aAPICULTURA 653 $aMIEL 653 $aURUGUAY 700 1 $aSANTOS, E. 700 1 $aSALVARREY, S. 700 1 $aANTÚNEZ, K. 700 1 $aARBULO, N.
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
31/03/2021 |
Actualizado : |
31/03/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
MOTA, R.R.; TEMPELMAN, R.J.; FERNANDO F CARDOSO; AGUILAR, I.; LOPES, P.S. |
Afiliación : |
RODRIGO REIS MOTA, Michigan State University; Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil; ROBERT J TEMPELMAN, Michigan State University; CARDOSO, F.F., Embrapa Southern Region Animal Husbandry, Bagé, Rio Grande do Sul, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PAULO S LOPES, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil. |
Título : |
Genomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models. |
Complemento del título : |
Volume Species Breeding: Beef cattle, 235. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.235. |
Idioma : |
Inglés |
Notas : |
Acknowledgments: The authors thank Delta G Connection by providing the data used in this research; Embrapa Southern Region Animal Husbandry and Michigan State University for theoretical and technical support; CAPES, CNPq and FAPEMIG by granting the scholarship. |
Contenido : |
ABSTRACT.
The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models. |
Palabras claves : |
Cross validation; Single-step; Tick counts. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15448/1/Mota-et-al.-2014.-WCGALP.pdf
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Marc : |
LEADER 01877nam a2200205 a 4500 001 1061924 005 2021-03-31 008 2014 bl uuuu u01u1 u #d 100 1 $aMOTA, R.R. 245 $aGenomic wide-selection for tick resistance in Hereford and Braford cattle via reaction norm models.$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.235.$c2014 500 $aAcknowledgments: The authors thank Delta G Connection by providing the data used in this research; Embrapa Southern Region Animal Husbandry and Michigan State University for theoretical and technical support; CAPES, CNPq and FAPEMIG by granting the scholarship. 520 $aABSTRACT. The objective of this study was to compare a conventional genomic model (GBLUP) and its extension to a linear reaction norm model (GLRNM) specifying genotype by environment interaction (G*E) for tick resistance in Brazilian cattle. Tick counts (TC) from 4,363 Hereford and Braford cattle from 146 contemporary groups (CG) were available of which 3,591 animals had BovineSNP50 Illumina v2 BeadChip genotypes. The reaction norm covariate was based on CG estimates of TC from a first-step model. Analysis was conducted based on adapting the single step GBLUP/REML procedure. Five-fold cross validation based on K-means and random partitioning was used to compare the fit of the two models. Cross validation correlations were strong and not significantly different between models for either partitioning strategy. Nevertheless, it seems apparent that G*E for tick infestation exists and can captured by GLRNM models. 653 $aCross validation 653 $aSingle-step 653 $aTick counts 700 1 $aTEMPELMAN, R.J. 700 1 $aFERNANDO F CARDOSO 700 1 $aAGUILAR, I. 700 1 $aLOPES, P.S.
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