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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
10/09/2014 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CIAPPESONI, G.; GOLDBERG, V.; GIMENO, D. |
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Afiliación : |
CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VIRGINIA GOLDBERG BIANCHI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DIEGO GIMENO, SUL (Secretariado Uruguayo de la Lana). |
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Título : |
Estimates of genetic parameters for worm resistance, wool and growth traits in Merino sheep of Uruguay. |
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Fecha de publicación : |
2013 |
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Fuente / Imprenta : |
Livestock Science, 2013, v.157, no.1, p.65-74. |
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Volumen : |
157 (1) |
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Páginas : |
65-74 |
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ISSN : |
1871-1413 |
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DOI : |
10.1016/j.livsci.2013.07.011 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 19 October 2012 / Received in revised form 19 July 2013 / Accepted 24 July 2013. |
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Contenido : |
ABSTRACT.
The genotype of an individual and the environment as the maternal ability of its dam have substantial effects on the phenotype expression of many production traits. The aim of the present study was to estimate the (co)variance components for worm resistance, wool and growth traits in Merino sheep, testing the importance of maternal effects and to determine the most appropriate model for each trait. The traits analyzed were Greasy Fleece Weight (GFW), Clean Fleece Weight (CFW), average Fibre Diameter (FD), Coefficient of Variation of FD (CVFD), Staple Length (SL), Comfort Factor (CF30), Weaning Weight (WWT), Yearling Body Weight (YWT) and Faecal worm Egg Count (FEC). The data were recorded during a 15-year period from 1995 to 2010, from Uruguayan Merino stud flocks. A Bayesian analysis was performed to estimate (co)variance components and genetic parameters. By ignoring or including maternal genetic or environmental effects, five different univariate models were fitted in order to determine the most effective for each trait. For CVFD and YWT, the model fitting the data best included direct additive effects as the only significant random source of variation. For GFW, CFW, FD, SL and CF30 the most appropriate model included direct-maternal covariance; while for FEC included maternal genetics effects with a zero direct-maternal covariance. The most suitable model for WWT included correlated maternal genetic plus maternal permanent environmental effects. The estimates of direct heritability were moderate to high and ranged from 0.15 for log transformed FEC to 0.74 for FD. Most of the direct additive genetic correlation (rg) estimations were in the expected range for Merino breed. However, the estimate of rg between FEC and FD was unfavourable (−0.18±0.03). In conclusion, there is considerable genetic variation in the traits analyzed, indicating the potential to make genetic progress on these traits. This study showed that maternal effects are influencing most of traits analyzed, thus these effects should be considered in Uruguayan Merino breeding programs; since the implementation of an appropriate model of analysis is critical to obtain accurate estimates. MenosABSTRACT.
The genotype of an individual and the environment as the maternal ability of its dam have substantial effects on the phenotype expression of many production traits. The aim of the present study was to estimate the (co)variance components for worm resistance, wool and growth traits in Merino sheep, testing the importance of maternal effects and to determine the most appropriate model for each trait. The traits analyzed were Greasy Fleece Weight (GFW), Clean Fleece Weight (CFW), average Fibre Diameter (FD), Coefficient of Variation of FD (CVFD), Staple Length (SL), Comfort Factor (CF30), Weaning Weight (WWT), Yearling Body Weight (YWT) and Faecal worm Egg Count (FEC). The data were recorded during a 15-year period from 1995 to 2010, from Uruguayan Merino stud flocks. A Bayesian analysis was performed to estimate (co)variance components and genetic parameters. By ignoring or including maternal genetic or environmental effects, five different univariate models were fitted in order to determine the most effective for each trait. For CVFD and YWT, the model fitting the data best included direct additive effects as the only significant random source of variation. For GFW, CFW, FD, SL and CF30 the most appropriate model included direct-maternal covariance; while for FEC included maternal genetics effects with a zero direct-maternal covariance. The most suitable model for WWT included correlated maternal genetic plus maternal permanent environmental effects. The estimates ... Presentar Todo |
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Palabras claves : |
COVARIANZA GENÉTICA; OVIS ARIES. |
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Thesagro : |
COVARIANZA; LANA. |
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Asunto categoría : |
L60 Taxonomía y geografía de los animales |
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Marc : |
LEADER 03026naa a2200253 a 4500
001 1050134
005 2019-10-15
008 2013 bl uuuu u00u1 u #d
022 $a1871-1413
024 7 $a10.1016/j.livsci.2013.07.011$2DOI
100 1 $aCIAPPESONI, G.
245 $aEstimates of genetic parameters for worm resistance, wool and growth traits in Merino sheep of Uruguay.$h[electronic resource]
260 $c2013
300 $a65-74 157 (1)
490 $v157 (1)
500 $aArticle history: Received 19 October 2012 / Received in revised form 19 July 2013 / Accepted 24 July 2013.
520 $aABSTRACT. The genotype of an individual and the environment as the maternal ability of its dam have substantial effects on the phenotype expression of many production traits. The aim of the present study was to estimate the (co)variance components for worm resistance, wool and growth traits in Merino sheep, testing the importance of maternal effects and to determine the most appropriate model for each trait. The traits analyzed were Greasy Fleece Weight (GFW), Clean Fleece Weight (CFW), average Fibre Diameter (FD), Coefficient of Variation of FD (CVFD), Staple Length (SL), Comfort Factor (CF30), Weaning Weight (WWT), Yearling Body Weight (YWT) and Faecal worm Egg Count (FEC). The data were recorded during a 15-year period from 1995 to 2010, from Uruguayan Merino stud flocks. A Bayesian analysis was performed to estimate (co)variance components and genetic parameters. By ignoring or including maternal genetic or environmental effects, five different univariate models were fitted in order to determine the most effective for each trait. For CVFD and YWT, the model fitting the data best included direct additive effects as the only significant random source of variation. For GFW, CFW, FD, SL and CF30 the most appropriate model included direct-maternal covariance; while for FEC included maternal genetics effects with a zero direct-maternal covariance. The most suitable model for WWT included correlated maternal genetic plus maternal permanent environmental effects. The estimates of direct heritability were moderate to high and ranged from 0.15 for log transformed FEC to 0.74 for FD. Most of the direct additive genetic correlation (rg) estimations were in the expected range for Merino breed. However, the estimate of rg between FEC and FD was unfavourable (−0.18±0.03). In conclusion, there is considerable genetic variation in the traits analyzed, indicating the potential to make genetic progress on these traits. This study showed that maternal effects are influencing most of traits analyzed, thus these effects should be considered in Uruguayan Merino breeding programs; since the implementation of an appropriate model of analysis is critical to obtain accurate estimates.
650 $aCOVARIANZA
650 $aLANA
653 $aCOVARIANZA GENÉTICA
653 $aOVIS ARIES
700 1 $aGOLDBERG, V.
700 1 $aGIMENO, D.
773 $tLivestock Science, 2013$gv.157, no.1, p.65-74.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
27/11/2020 |
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Actualizado : |
27/11/2020 |
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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 : |
MARQUES, C. B.; GOLDBERG, V.; CIAPPESONI, G. |
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Afiliación : |
CAMILA BALCONI MARQUES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VIRGINIA GOLDBERG BIANCHI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Genetic parameters for production traits, resistance and resilience to Nematode parasites under different worm burden challenges in Corriedale sheep. (Research paper) |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Veterinary Parasitology, November 2020, Volume 287, Article number 109272. Doi: https://doi.org/10.1016/j.vetpar.2020.109272 |
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ISSN : |
0304-4017 |
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DOI : |
10.1016/j.vetpar.2020.109272 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 24 June 2020; Received in revised form 11 October 2020; Accepted 11 October 2020; Available online 15 October 2020. |
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Contenido : |
ABSTRACT.
Characterized as the most important gastrointestinal parasite (GIP) in the world, Haemonchus contortus is also the most predominant and pathogenic genus in Uruguay, causing high morbidity and mortality rates in sheep flocks. For approximately 26 years resistance to GIP has been included in the National Genetic Evaluation (NGE) of Corriedale and Merino breeds, using Faecal Egg Count (FEC) as the selection criterion. The aim of the present study was to estimate genetic parameters for FEC, post-weaning Body Weight (BW), Packed Cell Volume (PCV), FAMACHA© and Body Condition Score (BCS), to determine the possibility to include these traits in the NGE of GIP resistance and resilience, as complementary selection criteria and to investigate the sensitivity of breeding values to different environmental worm burden challenges. Data were collected on 19,510 lambs from 2000 to 2009 in 24 Corriedale studs that participated in the NGE of sheep in Uruguay. (Co)variances components were estimated using a multi-trait animal model performing a Bayesian analysis. Posterior means estimated for heritability (h2) were of low to moderate magnitude (between 0.10 and 0.33) for the traits analysed. Genetic correlations (rg) were not significantly different from zero for BW- Loge (FEC + 100), BW-FAMACHA©, BW-PCV, Loge (FEC + 100)-PCV, BCS-FAMACHA©, moderate favourable rg for Loge (FEC + 100)-FAMACHA and PCV-BCS (0.55, 0.41) and high favourable rg for BW-BCS (0.66). These results indicate the possibility to complement selection programs incorporating BW, Loge (FEC + 100), FAMACHA©, PCV and BCS in order to select resistant and resilient animal to GIP. Furthermore, genetic parameters for BW and Loge (FEC + 100) to different environmental worm burden challenge was investigated. Two contemporary groups of low worm environment (Loge (FEC + 100) below 6.40) and a high worm environment (Loge (FEC + 100) above 6.75) were considered. In this model, h2 estimated for BW and Loge (FEC + 100) were found to be not statistically different between low and high environmental worm burden, furthermore, high correlations between traits at both environments were also presented.
© 2020 Elsevier B.V. MenosABSTRACT.
Characterized as the most important gastrointestinal parasite (GIP) in the world, Haemonchus contortus is also the most predominant and pathogenic genus in Uruguay, causing high morbidity and mortality rates in sheep flocks. For approximately 26 years resistance to GIP has been included in the National Genetic Evaluation (NGE) of Corriedale and Merino breeds, using Faecal Egg Count (FEC) as the selection criterion. The aim of the present study was to estimate genetic parameters for FEC, post-weaning Body Weight (BW), Packed Cell Volume (PCV), FAMACHA© and Body Condition Score (BCS), to determine the possibility to include these traits in the NGE of GIP resistance and resilience, as complementary selection criteria and to investigate the sensitivity of breeding values to different environmental worm burden challenges. Data were collected on 19,510 lambs from 2000 to 2009 in 24 Corriedale studs that participated in the NGE of sheep in Uruguay. (Co)variances components were estimated using a multi-trait animal model performing a Bayesian analysis. Posterior means estimated for heritability (h2) were of low to moderate magnitude (between 0.10 and 0.33) for the traits analysed. Genetic correlations (rg) were not significantly different from zero for BW- Loge (FEC + 100), BW-FAMACHA©, BW-PCV, Loge (FEC + 100)-PCV, BCS-FAMACHA©, moderate favourable rg for Loge (FEC + 100)-FAMACHA and PCV-BCS (0.55, 0.41) and high favourable rg for BW-BCS (0.66). These results indicate the... Presentar Todo |
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Palabras claves : |
Faecal egg count; Genetic correlation; Haemonchus contortus; Heritability. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03171naa a2200229 a 4500
001 1061523
005 2020-11-27
008 2020 bl uuuu u00u1 u #d
022 $a0304-4017
024 7 $a10.1016/j.vetpar.2020.109272$2DOI
100 1 $aMARQUES, C. B.
245 $aGenetic parameters for production traits, resistance and resilience to Nematode parasites under different worm burden challenges in Corriedale sheep. (Research paper)$h[electronic resource]
260 $c2020
500 $aArticle history: Received 24 June 2020; Received in revised form 11 October 2020; Accepted 11 October 2020; Available online 15 October 2020.
520 $aABSTRACT. Characterized as the most important gastrointestinal parasite (GIP) in the world, Haemonchus contortus is also the most predominant and pathogenic genus in Uruguay, causing high morbidity and mortality rates in sheep flocks. For approximately 26 years resistance to GIP has been included in the National Genetic Evaluation (NGE) of Corriedale and Merino breeds, using Faecal Egg Count (FEC) as the selection criterion. The aim of the present study was to estimate genetic parameters for FEC, post-weaning Body Weight (BW), Packed Cell Volume (PCV), FAMACHA© and Body Condition Score (BCS), to determine the possibility to include these traits in the NGE of GIP resistance and resilience, as complementary selection criteria and to investigate the sensitivity of breeding values to different environmental worm burden challenges. Data were collected on 19,510 lambs from 2000 to 2009 in 24 Corriedale studs that participated in the NGE of sheep in Uruguay. (Co)variances components were estimated using a multi-trait animal model performing a Bayesian analysis. Posterior means estimated for heritability (h2) were of low to moderate magnitude (between 0.10 and 0.33) for the traits analysed. Genetic correlations (rg) were not significantly different from zero for BW- Loge (FEC + 100), BW-FAMACHA©, BW-PCV, Loge (FEC + 100)-PCV, BCS-FAMACHA©, moderate favourable rg for Loge (FEC + 100)-FAMACHA and PCV-BCS (0.55, 0.41) and high favourable rg for BW-BCS (0.66). These results indicate the possibility to complement selection programs incorporating BW, Loge (FEC + 100), FAMACHA©, PCV and BCS in order to select resistant and resilient animal to GIP. Furthermore, genetic parameters for BW and Loge (FEC + 100) to different environmental worm burden challenge was investigated. Two contemporary groups of low worm environment (Loge (FEC + 100) below 6.40) and a high worm environment (Loge (FEC + 100) above 6.75) were considered. In this model, h2 estimated for BW and Loge (FEC + 100) were found to be not statistically different between low and high environmental worm burden, furthermore, high correlations between traits at both environments were also presented. © 2020 Elsevier B.V.
653 $aFaecal egg count
653 $aGenetic correlation
653 $aHaemonchus contortus
653 $aHeritability
700 1 $aGOLDBERG, V.
700 1 $aCIAPPESONI, G.
773 $tVeterinary Parasitology, November 2020, Volume 287, Article number 109272. Doi: https://doi.org/10.1016/j.vetpar.2020.109272
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