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| Registros recuperados : 10 | |
| 1. |  | FEDERICI, M.; ARTIGAS, R.; GUERRA, S.; BRANDA, A.; VÁZQUEZ, N.; NICOLINI, P.; DUTRA, F.; LLAMBÍ, S. Detection of the Brachyspina mutation in Uruguayan Holstein cows using real time PCR and melting curve analysis. [Detecção da mutação da Brachyspina em vacas Holandês Uruguaias usando PCR em tempo real e análise da curva de fusão.] Ciencia Rural, 2021, volume 51 (9), Article e20200872. OPEN ACCESS. Doi: https://doi.org/10.1590/0103-8478cr20200872 Article history: Received 17 Sept 2020; Accepted 05 Jan 2021; Reviewed 07 Mar 2021; Publication in this collection 02 June 2021; Date of issue 2021.| Biblioteca(s): INIA Las Brujas. |
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| 2. | | ARTIGAS, R.; FEDERICI, M.; VÁZQUEZ, N.; ALCÁNTARA, M.; RAMÍREZ, M.; GUERRA, S.; DUTRA, F.; LLAMBÍ, S. Identificación por catálogo y detección molecular de bovinos Holstein portadores de braquiespina en Uruguay. [Identification through sire catalogues analysis and molecular detection of brachyspina carriers in Uruguayan Holstein.] Artículo original. FAVE Sección Ciencias Veterinarias, 2020, volume 19 (2), 50-54. OPEN ACCESS. DOI: https://doi.org/10.14409/favecv.v19i2.9523 Article history: Recibido 3 Marzo 2020; Aceptado 1 Agosto 2020; Disponible en línea 14 Agosto 2020.
Editor: P. Beldomenico.
Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0.| Biblioteca(s): INIA Las Brujas. |
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| 3. | | ARBOLEYA, J.; GILSANZ, J.; ALLIAUME, F.; LEONI, C.; FALERO, M.; GUERRA, S. Minimum tillage and vegetable crop rotation Agrociencia Uruguay, 2012, v. 16, no.3 (Special Issue-ISTRO), p. 60-66. Special Issue: ISTRO - Striving for sustainable high productivity through improved soil and crop management.| Biblioteca(s): INIA Las Brujas. |
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| 5. | | Arboleya, J.; Gilsanz, J.C.; Allauime, F.; Leoni, C.; Falero, M.; Aranda, S.; Guerra, S. Manejo sustentable en la producción hortícola intensiva ln: "INIA, Programa Nacional de Investigación en Producción y Sustentabilidad Ambiental; INIA, Programa Nacional de Investigación en Producción Hortícola; DIGEGRA". Jardín de abonos verdes de verano. Módulo de investigación comprobatoria hortícola, Día de campo. Canelones (Uruguay): INIA Las Brujas, 2011. p. 17-28 (INIA Serie Actividades de Difusión; 641) "INIA, Programa Nacional de Investigación en Producción y Sustentabilidad Ambiental; INIA, Programa Nacional de Investigación en Producción Hortícola; DIGEGRA"| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| 7. | | ARBOLEYA, J.; GILSANZ, J.C.; ALLIAUME, F.; LEONI, C.; FALERO, M.; GUERRA, S. Manejo sustentable en la producción hortícola intensiva. Evolución del contenido de agua, de propiedades físicas, químicas, biológicas del suelo y del rendimiento en repollo y zapallo. [resumen] Suelos. Fertilidad. ln: Congreso Nacional de Horti-Fruticultura, 12. Jornadas Regionales de Manejo Poscosecha de Frutas. Seminario Suelos en Horticultura. Seminario Frutales de Pepita. 20-23 octubre 2012, Montevideo (UY) Trabajos presentados. Montevideo (UY): INIA; SUHF, 2010. p.122.| Biblioteca(s): INIA Las Brujas. |
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| 8. | | FEDERICI, M.; RIGAMONTI, N.; FERRARI, G.; ROVIRA, P.J.; TORRES, P.; GUERRA, S.; SIMÓN, C.; FERNÁNDEZ-CIGANDA, S. Análisis de comunidades de cianobacterias y microorganismos asociados al sedimento mediante secuenciación del gen 16S ARNr y qPCR en el embalse rincón del bonete. 161. (resúmen) Áreas temáticas: Ciencias del Mar y Limnología. In: Physiological Mini Reviews, 2022, volume 15, Special Issue: III (3er) Congreso Nacional de Biociencias Octubre 2022, Montevideo, Uruguay. p.145. Resumen publicado en las jornadas de BIOCIENCIAS: II Jornadas Binacionales Argentina-Uruguay; III Congreso Nacional 2022 "Ciencia para el desarrollo sustentable".| Biblioteca(s): INIA Las Brujas. |
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| 9. | | GARCÍA, M.; ALLIAUME, F.; MANCASSOLA, V.; PELUFFO, S.; DIESTE, J.P.; GUERRA, S.; DOGLIOTTI, S.; LEONI, C. La importancia del recurso suelo en la sostenibilidad de los sistemas de producción en el sur de Uruguay: Proyecto EULACIAS-FPTA 209 Noticiero, 2009, no.16, p.42-45| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| 10. | | DOGLIOTTI, S.; ABEDALA, C.; AGUERRE, V.; ALBIN, A.; ALLIAUME, F.; ÁLVAREZ, J.; BACIGALUPE, G.F.; BARRETO, M.; CHIAPPE, M.; CORRAL, J.; DIESTE, J.P.; GARCÍA DE SOUZA, M.C.; GUERRA, S.; LEONI, C.; MALÁN, I.; MANCASSOLA, V.; PEDEMONTE, A.; PELUFFO, S.; POMBO, C.; SALVO, G.; SCARLATO, M. Desarrollo sostenible de sistemas de producción hortícolas y hortícola-ganaderos familiares: una experiencia de co-innovación Montevideo (UY): INIA, 2012. 112 p. (Serie FPTA-INIA; 33) "Proyecto FPTA 209: "Diseño, implementación y evaluación de sistemas de producción intensivos sostenibles en la zona sur del Uruguay". Período de Ejecución: Dic.2006-Jun.2010| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| Registros recuperados : 10 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
18/08/2022 |
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Actualizado : |
20/07/2023 |
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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 : |
PRAVIA, M.I.; NAVAJAS, E.; AGUILAR, I.; RAVAGNOLO, O. |
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Afiliación : |
MARIA ISABEL PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OLGA RAVAGNOLO GUMILA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Evaluation of feed efficiency traits in different Hereford populations and their effect on variance component estimation. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Animal Production Science, 2022, Volume 62, Issue 17, pages 1652-1660. doi: https://doi.org/10.1071/AN21420 |
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ISSN : |
1836-0939 |
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DOI : |
10.1071/AN21420 |
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Idioma : |
Inglés |
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Notas : |
Article history: Submitted 24 August 2021; Accepted 10 June 2022; Published online 1 August 2022. -- Handling Editor: Sue Hatcher. --
Corresponding author: Pravia, M.I.; Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental Las Brujas, Ruta 48 Km. 10, Canelones, Uruguay; email:mpravia@inia.org.uy -- FUNDING: Financial support was provided by the National Agency for Research and Innovation (grant RTS-1-2012-1-3489). -- |
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Contenido : |
ABSTRACT.- Context: Residual feed intake is a relevant trait for beef cattle, given the positive impact on reducing feeding costs and greenhouse gas emissions. The lack of large databases is a restriction when estimating accurate genetic parameters for dry matter intake (DMI) and residual feed intake (RFI), and combining different data sets could be an alternative to increase the amount of data and achieve better estimations. Aim: The main objective was to compare Uruguayan data (URY; 780 bulls) and Canadian data (CAN; 1597 bulls), and to assess the adequacy of pooling both data sets (ALL) for the estimation of genetic parameters for DMI and RFI. Methods: Feed intake and growth traits phenotypes in both data sets were measured following the same protocols established by the Beef Improvement Federation. Pedigree connections among data sets existed, but were weak. Performance data were analysed for each data set, and individual partial regression coefficients for each energy sink on DMI were obtained and compared. Univariate and multivariate variance components were estimated by the restricted maximum likelihood (REML) for DMI, RFI and their energy sinks traits (average daily gain, metabolic mid weight and back fat thickness). Key results: There were some differences in phenotypic performance among data (P < 0.01); however, no differences (P > 0.1) were observed for phenotypic values of RFI between sets. Heritability estimates for DMI were 0.42 (URY), 0.41 (CAN) and 0.45 for ALL data, whereas heritability estimates for RFI were 0.34 (URY), 0.20 (CAN) and 0.25 for ALL data. The results obtained indicate selection on reducing RFI could lead to a decrease in DMI, without compromising other performance traits, as genetic correlations between RFI, growth and liveweight were low or close to 0 (-0.12-0.07). Conclusions: As genetic parameters were similar between national data sets (URY, CAN), pooling data (ALL) provided more accurate parameter estimations, as they presented smaller standard deviations, especially in multivariate analysis. Implications: Parameters estimated here may be used in international or national genetic evaluation programs. © 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing. MenosABSTRACT.- Context: Residual feed intake is a relevant trait for beef cattle, given the positive impact on reducing feeding costs and greenhouse gas emissions. The lack of large databases is a restriction when estimating accurate genetic parameters for dry matter intake (DMI) and residual feed intake (RFI), and combining different data sets could be an alternative to increase the amount of data and achieve better estimations. Aim: The main objective was to compare Uruguayan data (URY; 780 bulls) and Canadian data (CAN; 1597 bulls), and to assess the adequacy of pooling both data sets (ALL) for the estimation of genetic parameters for DMI and RFI. Methods: Feed intake and growth traits phenotypes in both data sets were measured following the same protocols established by the Beef Improvement Federation. Pedigree connections among data sets existed, but were weak. Performance data were analysed for each data set, and individual partial regression coefficients for each energy sink on DMI were obtained and compared. Univariate and multivariate variance components were estimated by the restricted maximum likelihood (REML) for DMI, RFI and their energy sinks traits (average daily gain, metabolic mid weight and back fat thickness). Key results: There were some differences in phenotypic performance among data (P < 0.01); however, no differences (P > 0.1) were observed for phenotypic values of RFI between sets. Heritability estimates for DMI were 0.42 (URY), 0.41 (CAN) and 0.45 for A... Presentar Todo |
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Palabras claves : |
Across country evaluation; Beef cattle; Feed intake; Genetic correlations; Heritability; Multiple trait model; Residual feed intake; Variance component estimation. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 03625naa a2200289 a 4500
001 1063535
005 2023-07-20
008 2022 bl uuuu u00u1 u #d
022 $a1836-0939
024 7 $a10.1071/AN21420$2DOI
100 1 $aPRAVIA, M.I.
245 $aEvaluation of feed efficiency traits in different Hereford populations and their effect on variance component estimation.$h[electronic resource]
260 $c2022
500 $aArticle history: Submitted 24 August 2021; Accepted 10 June 2022; Published online 1 August 2022. -- Handling Editor: Sue Hatcher. -- Corresponding author: Pravia, M.I.; Instituto Nacional de Investigación Agropecuaria (INIA), Estación Experimental Las Brujas, Ruta 48 Km. 10, Canelones, Uruguay; email:mpravia@inia.org.uy -- FUNDING: Financial support was provided by the National Agency for Research and Innovation (grant RTS-1-2012-1-3489). --
520 $aABSTRACT.- Context: Residual feed intake is a relevant trait for beef cattle, given the positive impact on reducing feeding costs and greenhouse gas emissions. The lack of large databases is a restriction when estimating accurate genetic parameters for dry matter intake (DMI) and residual feed intake (RFI), and combining different data sets could be an alternative to increase the amount of data and achieve better estimations. Aim: The main objective was to compare Uruguayan data (URY; 780 bulls) and Canadian data (CAN; 1597 bulls), and to assess the adequacy of pooling both data sets (ALL) for the estimation of genetic parameters for DMI and RFI. Methods: Feed intake and growth traits phenotypes in both data sets were measured following the same protocols established by the Beef Improvement Federation. Pedigree connections among data sets existed, but were weak. Performance data were analysed for each data set, and individual partial regression coefficients for each energy sink on DMI were obtained and compared. Univariate and multivariate variance components were estimated by the restricted maximum likelihood (REML) for DMI, RFI and their energy sinks traits (average daily gain, metabolic mid weight and back fat thickness). Key results: There were some differences in phenotypic performance among data (P < 0.01); however, no differences (P > 0.1) were observed for phenotypic values of RFI between sets. Heritability estimates for DMI were 0.42 (URY), 0.41 (CAN) and 0.45 for ALL data, whereas heritability estimates for RFI were 0.34 (URY), 0.20 (CAN) and 0.25 for ALL data. The results obtained indicate selection on reducing RFI could lead to a decrease in DMI, without compromising other performance traits, as genetic correlations between RFI, growth and liveweight were low or close to 0 (-0.12-0.07). Conclusions: As genetic parameters were similar between national data sets (URY, CAN), pooling data (ALL) provided more accurate parameter estimations, as they presented smaller standard deviations, especially in multivariate analysis. Implications: Parameters estimated here may be used in international or national genetic evaluation programs. © 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing.
653 $aAcross country evaluation
653 $aBeef cattle
653 $aFeed intake
653 $aGenetic correlations
653 $aHeritability
653 $aMultiple trait model
653 $aResidual feed intake
653 $aVariance component estimation
700 1 $aNAVAJAS, E.
700 1 $aAGUILAR, I.
700 1 $aRAVAGNOLO, O.
773 $tAnimal Production Science, 2022, Volume 62, Issue 17, pages 1652-1660. doi: https://doi.org/10.1071/AN21420
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