| |
|
|
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha : |
23/08/2022 |
|
Actualizado : |
22/05/2023 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Nacionales |
|
Autor : |
CARRACELAS, B.; NAVAJAS, E.; VERA, B.; CIAPPESONI, G. |
|
Afiliación : |
EMERITA BEATRIZ CARRACELAS MARQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BRENDA VERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
|
Título : |
SNP arrays evaluation as tools in genetic improvement in Corriedale sheep in Uruguay. [Evaluación de paneles de SNP como herramientas en la mejora genética de ovinos Corriedale en Uruguay]. [Avaliação de painéis de SNP como ferramentas em melhoramento genético de ovinos Corriedale no Uruguai]. |
|
Complemento del título : |
Animal production and pastures. |
|
Fecha de publicación : |
2022 |
|
Fuente / Imprenta : |
Agrociencia Uruguay, 2022, vol. 26, number 2, article e998. doi: https://doi.org/10.31285/AGRO.26.998 |
|
ISSN : |
2730-5066 |
|
DOI : |
10.31285/AGRO.26.998 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received 09 Feb 2022; Accepted 30 May 2022; Published 19 Aug 2022. Editor: Mariana Carriquiry, Universidad de la República, Facultad de Agronomía, Montevideo, Uruguay. Correspondence: Beatriz Carracelas, bcarracelas@inia.org.uy -- License: This work is licensed under a Creative Commons Attribution 4.0 International License. (CC BY 4.0). |
|
Contenido : |
ABSTRACT.- One control strategy for gastrointestinal nematodes (GIN) is genetic selection. This studys objective was to compare eggs per gram of feces (FEC) and fiber diameter (FD) estimated breeding values (EBV) and genomic EBV (GEBV) in Corriedale breed. Analysis included 19547 lambs with data, and 454, 711 and 383 genotypes from 170, 507 and 50K SNP chips, respectively. A univariate animal model was used for EBV and GEBV estimation, which included contemporary group, type of birth and dam age as fixed effects, and age at recording as covariate. Differential weights (?) were considered in the genomic relationship matrix (G), and the best fit models were identified using Akaikes Information Criterion (AIC), which were later used for GEBV and accuracies estimation. The use of only impacted on low density SNP chips. No differences were observed in mean accuracies for the whole population. However, in the genotyped subgroup accuracies increased by 2% with the 170 SNP chip (?=0.25), and by 5% (?=0.5) and 14% (?=0.75) with the 507 SNP chip. No differences were observed in FD EBV and GEBV mean accuracies. These results show that it is possible to increase GEBV accuracies despite the use of low-density chips -.-.-.-.-.-.-.-.-.-.-.-..-RESUMEN.- Una alternativa para el control de losnematodos gastrointestinales (NGI) es la selección genética. El objetivo de este trabajo fue comparar las precisiones de los valores de cría (EBV) y los EBV genómicos (GEBV) del recuento de huevos por gramo en heces (HPG) y diámetro de fibra (DF) en la raza Corriedale. El análisis incluyó 19547 corderos con datos fenotípicos y 454, 711 y 383 genotipados con paneles o chips de 170, 507 y 50K SNP, respectivamente. Los EBV y GEBV se estimaron con un modelo animal univariado que incluyó los efectos fijos:grupo contemporáneo, tipo de nacimiento y edad de la madre,y edad al registro como covariable. Se consideraron pesos diferenciales (?) en la matriz de relaciones genómicas, identificándose los modelos con mejor ajuste con el criterio de información de Akaike (AIC), que fueron utili-zados para la estimación de los GEBV y sus precisiones. El uso de ?solo impactó en el ajuste con paneles de baja densidad. No se encontraron diferencias en las precisiones promedio de la población total. En cambio, en el subgrupo de animales genotipados las precisiones aumentaron 2% con 170 SNP (?=0.25), y con 507 SNP 5% (?=0.5) y 14% (?=0.75). No hubo diferencias en precisiones de los EBV y los GEBV de DF. Los resultados muestran que es posible aumentar las precisiones de los GEBV aun con paneles de baja densidad. -.-.-.-.-.-.-.-.-.-.-.-..-RESUMO.- Uma alternativa para o controle de nematóidesgastrointestinais (NGI) é a seleção genética. O objetivo deste trabalho foi comparar as precisões dos valores genéticos estimados (EBV) e dos EBVs genômicos (GEBV) da contagem de ovos por grama de fezes (OPG) e diâmetro de fibra (DF) na raça Corriedale. Aanálise incluiu 19547 cordeiros com dados e 454, 711 e 383 genotipados de 170, 507 e 50K SNPs, respectivamente. Foram estimados os EBV e GEBV com um modelo animal univariado que incluiu efeitos fixos de grupo contemporâneo, tipo de nascimento e idade da mãe e idade no registro (covariável). Pesos diferenciais (?) foram considerados na matriz de relações genômicas, identificando os modelos com melhor ajuste via critério de informação de Akaike (AIC), os quais foram utilizados para estimar o GEBV e suas precisões. O uso de ?=0.75 somente impactou no ajuste com painéis de baixa densidade. Não foram encontradas diferenças na precisão média da população total. Em contraste, no subgrupo de animais genotipados as precisões aumentaram 2% com 170 SNPs (?=0.25), e com 507 SNPs 5% (?=0.5) e 14% (?=0.75). Não houve diferenças na precisão de EBV e GEBV de DF. Os resultados mostram que é possível aumentar a precisão de GEBVs mesmo que se utilizem painéis de baixa densidade. MenosABSTRACT.- One control strategy for gastrointestinal nematodes (GIN) is genetic selection. This studys objective was to compare eggs per gram of feces (FEC) and fiber diameter (FD) estimated breeding values (EBV) and genomic EBV (GEBV) in Corriedale breed. Analysis included 19547 lambs with data, and 454, 711 and 383 genotypes from 170, 507 and 50K SNP chips, respectively. A univariate animal model was used for EBV and GEBV estimation, which included contemporary group, type of birth and dam age as fixed effects, and age at recording as covariate. Differential weights (?) were considered in the genomic relationship matrix (G), and the best fit models were identified using Akaikes Information Criterion (AIC), which were later used for GEBV and accuracies estimation. The use of only impacted on low density SNP chips. No differences were observed in mean accuracies for the whole population. However, in the genotyped subgroup accuracies increased by 2% with the 170 SNP chip (?=0.25), and by 5% (?=0.5) and 14% (?=0.75) with the 507 SNP chip. No differences were observed in FD EBV and GEBV mean accuracies. These results show that it is possible to increase GEBV accuracies despite the use of low-density chips -.-.-.-.-.-.-.-.-.-.-.-..-RESUMEN.- Una alternativa para el control de losnematodos gastrointestinales (NGI) es la selección genética. El objetivo de este trabajo fue comparar las precisiones de los valores de cría (EBV) y los EBV genómicos (GEBV) del recuento... Presentar Todo |
|
Palabras claves : |
Accuracy; FEC; GEBV; HPG; OPG; Precisão; Precisión. |
|
Thesagro : |
CORRIEDALE. |
|
Asunto categoría : |
L10 Genética y mejoramiento animal |
|
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16637/1/998-Article-Text-6221-1-10-20220819.pdf
|
|
Marc : |
LEADER 05383naa a2200289 a 4500
001 1063543
005 2023-05-22
008 2022 bl uuuu u00u1 u #d
022 $a2730-5066
024 7 $a10.31285/AGRO.26.998$2DOI
100 1 $aCARRACELAS, B.
245 $aSNP arrays evaluation as tools in genetic improvement in Corriedale sheep in Uruguay. [Evaluación de paneles de SNP como herramientas en la mejora genética de ovinos Corriedale en Uruguay]. [Avaliação de painéis de SNP como ferramentas em melhoramento genético de ovinos Corriedale no Uruguai].$h[electronic resource]
260 $c2022
500 $aArticle history: Received 09 Feb 2022; Accepted 30 May 2022; Published 19 Aug 2022. Editor: Mariana Carriquiry, Universidad de la República, Facultad de Agronomía, Montevideo, Uruguay. Correspondence: Beatriz Carracelas, bcarracelas@inia.org.uy -- License: This work is licensed under a Creative Commons Attribution 4.0 International License. (CC BY 4.0).
520 $aABSTRACT.- One control strategy for gastrointestinal nematodes (GIN) is genetic selection. This studys objective was to compare eggs per gram of feces (FEC) and fiber diameter (FD) estimated breeding values (EBV) and genomic EBV (GEBV) in Corriedale breed. Analysis included 19547 lambs with data, and 454, 711 and 383 genotypes from 170, 507 and 50K SNP chips, respectively. A univariate animal model was used for EBV and GEBV estimation, which included contemporary group, type of birth and dam age as fixed effects, and age at recording as covariate. Differential weights (?) were considered in the genomic relationship matrix (G), and the best fit models were identified using Akaikes Information Criterion (AIC), which were later used for GEBV and accuracies estimation. The use of only impacted on low density SNP chips. No differences were observed in mean accuracies for the whole population. However, in the genotyped subgroup accuracies increased by 2% with the 170 SNP chip (?=0.25), and by 5% (?=0.5) and 14% (?=0.75) with the 507 SNP chip. No differences were observed in FD EBV and GEBV mean accuracies. These results show that it is possible to increase GEBV accuracies despite the use of low-density chips -.-.-.-.-.-.-.-.-.-.-.-..-RESUMEN.- Una alternativa para el control de losnematodos gastrointestinales (NGI) es la selección genética. El objetivo de este trabajo fue comparar las precisiones de los valores de cría (EBV) y los EBV genómicos (GEBV) del recuento de huevos por gramo en heces (HPG) y diámetro de fibra (DF) en la raza Corriedale. El análisis incluyó 19547 corderos con datos fenotípicos y 454, 711 y 383 genotipados con paneles o chips de 170, 507 y 50K SNP, respectivamente. Los EBV y GEBV se estimaron con un modelo animal univariado que incluyó los efectos fijos:grupo contemporáneo, tipo de nacimiento y edad de la madre,y edad al registro como covariable. Se consideraron pesos diferenciales (?) en la matriz de relaciones genómicas, identificándose los modelos con mejor ajuste con el criterio de información de Akaike (AIC), que fueron utili-zados para la estimación de los GEBV y sus precisiones. El uso de ?solo impactó en el ajuste con paneles de baja densidad. No se encontraron diferencias en las precisiones promedio de la población total. En cambio, en el subgrupo de animales genotipados las precisiones aumentaron 2% con 170 SNP (?=0.25), y con 507 SNP 5% (?=0.5) y 14% (?=0.75). No hubo diferencias en precisiones de los EBV y los GEBV de DF. Los resultados muestran que es posible aumentar las precisiones de los GEBV aun con paneles de baja densidad. -.-.-.-.-.-.-.-.-.-.-.-..-RESUMO.- Uma alternativa para o controle de nematóidesgastrointestinais (NGI) é a seleção genética. O objetivo deste trabalho foi comparar as precisões dos valores genéticos estimados (EBV) e dos EBVs genômicos (GEBV) da contagem de ovos por grama de fezes (OPG) e diâmetro de fibra (DF) na raça Corriedale. Aanálise incluiu 19547 cordeiros com dados e 454, 711 e 383 genotipados de 170, 507 e 50K SNPs, respectivamente. Foram estimados os EBV e GEBV com um modelo animal univariado que incluiu efeitos fixos de grupo contemporâneo, tipo de nascimento e idade da mãe e idade no registro (covariável). Pesos diferenciais (?) foram considerados na matriz de relações genômicas, identificando os modelos com melhor ajuste via critério de informação de Akaike (AIC), os quais foram utilizados para estimar o GEBV e suas precisões. O uso de ?=0.75 somente impactou no ajuste com painéis de baixa densidade. Não foram encontradas diferenças na precisão média da população total. Em contraste, no subgrupo de animais genotipados as precisões aumentaram 2% com 170 SNPs (?=0.25), e com 507 SNPs 5% (?=0.5) e 14% (?=0.75). Não houve diferenças na precisão de EBV e GEBV de DF. Os resultados mostram que é possível aumentar a precisão de GEBVs mesmo que se utilizem painéis de baixa densidade.
650 $aCORRIEDALE
653 $aAccuracy
653 $aFEC
653 $aGEBV
653 $aHPG
653 $aOPG
653 $aPrecisão
653 $aPrecisión
700 1 $aNAVAJAS, E.
700 1 $aVERA, B.
700 1 $aCIAPPESONI, G.
773 $tAgrociencia Uruguay, 2022, vol. 26, number 2, article e998. doi: https://doi.org/10.31285/AGRO.26.998
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
|
 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
|
Registro completo
|
|
Biblioteca (s) : |
INIA Las Brujas. |
|
Fecha actual : |
02/10/2017 |
|
Actualizado : |
02/10/2017 |
|
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
|
Circulación / Nivel : |
Internacional - -- |
|
Autor : |
FRIONI, N.; ROVERE, G.; AGUILAR, I.; URIOSTE, J. |
|
Afiliación : |
NICOLÁS FRIONI, Universidad de la República (UdelaR)/ Facultad de Agronomía (UY); Animal Breeding and Genetics Group, Department of Animal Sciences, Georg-August-University (DE); GABRIEL ROVERE, Universidad de la República (UdelaR)/ Facultad de Agronomía (UY); Department of Molecular Biology and Genetics, Centre for Quantitative Genetics and Genomics, Aarhus University (DK); IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JORGE I. URIOSTE, Universidad de la República (UdelaR)/ Facultad de Agronomía (UY). |
|
Título : |
Genetic parameters and correlations between days open and production traits across lactations in pasture based dairy production systems. |
|
Fecha de publicación : |
2017 |
|
Fuente / Imprenta : |
Livestock Science, 2017, 204:104-109. |
|
ISSN : |
1871-1413 |
|
DOI : |
10.1016/j.livsci.2017.08.018 |
|
Idioma : |
Inglés |
|
Notas : |
Article history: Received 14 November 2016; Received in revised form 20 June 2017; Accepted 23 August 2017. |
|
Contenido : |
ABSTRACT.
The aim of this study was to estimate the additive genetic correlations, heritabilities and repeatabilities of days open (DO), milk (MY), fat (FY) and protein yields (PY), using data from pasture based dairy systems of Uruguay, and to explore whether DO should be interpreted as a different trait across lactations or as a trait with repeated measures. The database contained 500, 412 and 294 thousand records of first, second and third lactation, respectively. Cows were offspring of 7747 sires. Fertility records lower and upper limits were 42 and 250 days, respectively. In a first approach (Mdiff) we estimated variance components and covariances over lactations, assuming that the traits were different at each lactation. In a second approach (Mrep) estimations were carried out considering each trait as a repeated measure along lactations. In Mdiff, DO with a production trait was analyzed considering each lactation as a different trait. Three six-variate linear models were analyzed (DO-MY, DO-FY, DO-PY, and lactations first to third). In the Mrep procedure, DO, MY, FY and PY were analyzed together with a multiple trait repeatability model. For all models, the fixed effects were herd-year-season and lactationage classes. Animal and the permanent environment effect were included as random effects. The additive genetic correlations between DO and yield traits by Mdiff were between +0.39 and +0.78; by Mrep, they ranged from +0.44 to +0.55. Heritabilities of DO by Mdiff were between 0.04 and 0.06 and 0.05 by Mrep. The additive genetic correlations of DO between lactations ranged from +0.76 to +0.91. Heritabilities of MY, FY and PY were 0.23, 0.21 and 0.21, respectively. Repeatabilities obtained were 0.10, 0.49, 0.47 and 0.49 for DO, MY, FY and PY, respectively. We concluded that the heritability of DO was low but enough to consider the trait in selection programs. We confirmed unfavorable additive genetic correlations between DO and yield traits for the Uruguayan pasture systems, which supports the importance of considering fertility in selection programs to reduce or avoid a decline in reproduction. The additive genetic correlations of DO between lactations were high, suggesting that a plausible model should consider DO records of a given animal as repeated measures.
© 2017 Elsevier B.V. All rights reserved. MenosABSTRACT.
The aim of this study was to estimate the additive genetic correlations, heritabilities and repeatabilities of days open (DO), milk (MY), fat (FY) and protein yields (PY), using data from pasture based dairy systems of Uruguay, and to explore whether DO should be interpreted as a different trait across lactations or as a trait with repeated measures. The database contained 500, 412 and 294 thousand records of first, second and third lactation, respectively. Cows were offspring of 7747 sires. Fertility records lower and upper limits were 42 and 250 days, respectively. In a first approach (Mdiff) we estimated variance components and covariances over lactations, assuming that the traits were different at each lactation. In a second approach (Mrep) estimations were carried out considering each trait as a repeated measure along lactations. In Mdiff, DO with a production trait was analyzed considering each lactation as a different trait. Three six-variate linear models were analyzed (DO-MY, DO-FY, DO-PY, and lactations first to third). In the Mrep procedure, DO, MY, FY and PY were analyzed together with a multiple trait repeatability model. For all models, the fixed effects were herd-year-season and lactationage classes. Animal and the permanent environment effect were included as random effects. The additive genetic correlations between DO and yield traits by Mdiff were between +0.39 and +0.78; by Mrep, they ranged from +0.44 to +0.55. Heritabilities of DO by Mdiff were... Presentar Todo |
|
Palabras claves : |
DAIRY PRODUCTION; GENETIC CORRELATION; HERITABILITY; HOLSTEIN; REPRODUCTIVE PERFORMANCE. |
|
Thesagro : |
GANADO LECHERO; RENDIMIENTO LECHERO. |
|
Asunto categoría : |
-- |
|
Marc : |
LEADER 03282naa a2200277 a 4500
001 1057620
005 2017-10-02
008 2017 bl uuuu u00u1 u #d
022 $a1871-1413
024 7 $a10.1016/j.livsci.2017.08.018$2DOI
100 1 $aFRIONI, N.
245 $aGenetic parameters and correlations between days open and production traits across lactations in pasture based dairy production systems.$h[electronic resource]
260 $c2017
500 $aArticle history: Received 14 November 2016; Received in revised form 20 June 2017; Accepted 23 August 2017.
520 $aABSTRACT. The aim of this study was to estimate the additive genetic correlations, heritabilities and repeatabilities of days open (DO), milk (MY), fat (FY) and protein yields (PY), using data from pasture based dairy systems of Uruguay, and to explore whether DO should be interpreted as a different trait across lactations or as a trait with repeated measures. The database contained 500, 412 and 294 thousand records of first, second and third lactation, respectively. Cows were offspring of 7747 sires. Fertility records lower and upper limits were 42 and 250 days, respectively. In a first approach (Mdiff) we estimated variance components and covariances over lactations, assuming that the traits were different at each lactation. In a second approach (Mrep) estimations were carried out considering each trait as a repeated measure along lactations. In Mdiff, DO with a production trait was analyzed considering each lactation as a different trait. Three six-variate linear models were analyzed (DO-MY, DO-FY, DO-PY, and lactations first to third). In the Mrep procedure, DO, MY, FY and PY were analyzed together with a multiple trait repeatability model. For all models, the fixed effects were herd-year-season and lactationage classes. Animal and the permanent environment effect were included as random effects. The additive genetic correlations between DO and yield traits by Mdiff were between +0.39 and +0.78; by Mrep, they ranged from +0.44 to +0.55. Heritabilities of DO by Mdiff were between 0.04 and 0.06 and 0.05 by Mrep. The additive genetic correlations of DO between lactations ranged from +0.76 to +0.91. Heritabilities of MY, FY and PY were 0.23, 0.21 and 0.21, respectively. Repeatabilities obtained were 0.10, 0.49, 0.47 and 0.49 for DO, MY, FY and PY, respectively. We concluded that the heritability of DO was low but enough to consider the trait in selection programs. We confirmed unfavorable additive genetic correlations between DO and yield traits for the Uruguayan pasture systems, which supports the importance of considering fertility in selection programs to reduce or avoid a decline in reproduction. The additive genetic correlations of DO between lactations were high, suggesting that a plausible model should consider DO records of a given animal as repeated measures. © 2017 Elsevier B.V. All rights reserved.
650 $aGANADO LECHERO
650 $aRENDIMIENTO LECHERO
653 $aDAIRY PRODUCTION
653 $aGENETIC CORRELATION
653 $aHERITABILITY
653 $aHOLSTEIN
653 $aREPRODUCTIVE PERFORMANCE
700 1 $aROVERE, G.
700 1 $aAGUILAR, I.
700 1 $aURIOSTE, J.
773 $tLivestock Science, 2017, 204:104-109.
Descargar
Esconder MarcPresentar Marc Completo |
|
Registro original : |
INIA Las Brujas (LB) |
|
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
| Expresión de búsqueda válido. Check! |
|
|
