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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
07/11/2018 |
Actualizado : |
07/11/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
CHIAIA, H.L.J.; PERIPOLLI, E.; DE OLIVEIRA SILVA, R.M.; FEITOSA, F.L.B.; DE LEMOS, M.V.A.; BERTON, M.P.; OLIVIERI, B.F.; ESPIGOLAN, R.; TONUSSI, R.L.; GORDO, D.G.M.; DE ALBUQUERQUE, L.G.; DE OLIVEIRA, H.N.; FERRINHO, A.M.; MUELLER, L.F.; KLUSKA, S.; TONHATI, H.; PEREIRA, A.S.C.; AGUILAR, I.; BALDI, F. |
Afiliación : |
HERMENEGILDO LUCAS JUSTINO CHIAIA, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; ELISA PERIPOLLI, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; RAFAEL MEDEIROS DE OLIVEIRA SILVA, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; FABIELE LOISE BRAGA FEITOSA, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; MARCOS VINÍCIUS ANTUNES DE LEMOS, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; MARIANA PIATTO BERTON, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; BIANCA FERREIRA OLIVIERI, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; RAFAEL ESPIGOLAN, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; RAFAEL LARA TONUSSI, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; DANIEL GUSTAVO MANSAN GORDO, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; LUCIA GALVÃO DE ALBUQUERQUE, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; HENRIQUE NUNES DE OLIVEIRA, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; ADRIELLE MATHIAS FERRINHO, Faculdade de Medicina Veterinária e Zootecnia, USP, Brazil.; LENISE FREITAS MUELLER, Faculdade de Zootecnia e Engenharia de Alimentos, USP, Brazil.; SABRINA KLUSKA, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; HUMBERTO TONHATI, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil.; ANGÉLICA SIMONE CRAVO PEREIRA, Faculdade de Medicina Veterinária e Zootecnia, USP, Brazil.; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BALDI, Faculdade de Ciências Agrárias e Veterinárias, UNESP, Brazil. |
Título : |
Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
Journal of Applied Genetics, 1 November 2018, volume 59, Issue 4, pages 493-501. |
DOI : |
10.1007/s13353-018-0470-5 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 15 May 2018 // Revised: 28 August 2018 // Accepted: 17 September 2018. |
Contenido : |
ABSTRACT.
The aim of the present study was to compare the predictive ability of SNP-BLUP model using different pseudo-phenotypes such as phenotype adjusted for fixed effects, estimated breeding value, and genomic estimated breeding value, using simulated and real data for beef FA profile of Nelore cattle finished in feedlot. A pedigree with phenotypes and genotypes of 10,000 animals were simulated, considering 50% of multiple sires in the pedigree. Regarding to phenotypes, two traits were simulated, one with high heritability (0.58), another with low heritability (0.13). Ten replicates were performed for each trait and results were averaged among replicates. A historical population was created from generation zero to 2020, with a constant size of 2000 animals (from generation zero to 1000) to produce different levels of linkage disequilibrium (LD). Therefore, there was a gradual reduction in the number of animals (from 2000 to 600), producing a ?bottleneck effect? and consequently, genetic drift and LD starting in the generation 1001 to 2020. A total of 335,000 markers (with MAF greater or equal to 0.02) and 1000 QTL were randomly selected from the last generation of the historical population to generate genotypic data for the test population. The phenotypes were computed as the sum of the QTL effects and an error term sampled from a normal distribution with zero mean and variance equal to 0.88. For simulated data, 4000 animals of the generations 7, 8, and 9 (with genotype and phenotype) were used as training population, and 1000 animals of the last generation (10) were used as validation population. A total of 937 Nelore bulls with phenotype for fatty acid profiles (Sum of saturated, monounsaturated, omega 3, omega 6, ratio of polyunsaturated and saturated and polyunsaturated fatty acid profile) were genotyped using the Illumina BovineHD BeadChip (Illumina, San Diego, CA) with 777,962 SNP. To compare the accuracy and bias of direct genomic value (DGV) for different pseudo-phenotypes, the correlation between true breeding value (TBV) or DGV with pseudo-phenotypes and linear regression coefficient of the pseudo-phenotypes on TBV for simulated data or DGV for real data, respectively. For simulated data, the correlations between DGV and TBV for high heritability traits were higher than obtained with low heritability traits. For simulated and real data, the prediction ability was higher for GEBV than for Yc and EBV. For simulated data, the regression coefficient estimates (b(Yc,DGV)), were on average lower than 1 for high and low heritability traits, being inflated. The results were more biased for Yc and EBV than for GEBV. For real data, the GEBV displayed less biased results compared to Yc and EBV for SFA, MUFA, n-3, n-6, and PUFA/SFA. Despite the less biased results for PUFA using the EBV as pseudo-phenotype, the b(Yi,DGV estimates obtained for the different pseudo-phenotypes (Yc, EBV and GEBV) were very close. Genomic information can assist in improving beef fatty acid profile in Zebu cattle, since the use of genomic information yielded genomic values for fatty acid profile with accuracies ranging from low to moderate. Considering both simulated and real data, the ssGBLUP model is an appropriate alternative to obtain more reliable and less biased GEBVs as pseudo-phenotype in situations of missing pedigree, due to high proportion of multiple sires, being more adequate than EBV and Yc to predict direct genomic value for beef fatty acid profile.
© 2018, Institute of Plant Genetics, Polish Academy of Sciences, Poznan. MenosABSTRACT.
The aim of the present study was to compare the predictive ability of SNP-BLUP model using different pseudo-phenotypes such as phenotype adjusted for fixed effects, estimated breeding value, and genomic estimated breeding value, using simulated and real data for beef FA profile of Nelore cattle finished in feedlot. A pedigree with phenotypes and genotypes of 10,000 animals were simulated, considering 50% of multiple sires in the pedigree. Regarding to phenotypes, two traits were simulated, one with high heritability (0.58), another with low heritability (0.13). Ten replicates were performed for each trait and results were averaged among replicates. A historical population was created from generation zero to 2020, with a constant size of 2000 animals (from generation zero to 1000) to produce different levels of linkage disequilibrium (LD). Therefore, there was a gradual reduction in the number of animals (from 2000 to 600), producing a ?bottleneck effect? and consequently, genetic drift and LD starting in the generation 1001 to 2020. A total of 335,000 markers (with MAF greater or equal to 0.02) and 1000 QTL were randomly selected from the last generation of the historical population to generate genotypic data for the test population. The phenotypes were computed as the sum of the QTL effects and an error term sampled from a normal distribution with zero mean and variance equal to 0.88. For simulated data, 4000 animals of the generations 7, 8, and 9 (with genotype a... Presentar Todo |
Palabras claves : |
BOS INDICUS; GENOMIC PREDICTION; LIPID PROFILE; SINGLE-STEP; SNP-BLUP. |
Asunto categoría : |
-- |
Marc : |
LEADER 04880naa a2200421 a 4500 001 1059280 005 2018-11-07 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1007/s13353-018-0470-5$2DOI 100 1 $aCHIAIA, H.L.J. 245 $aGenomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes.$h[electronic resource] 260 $c2018 500 $aArticle history: Received: 15 May 2018 // Revised: 28 August 2018 // Accepted: 17 September 2018. 520 $aABSTRACT. The aim of the present study was to compare the predictive ability of SNP-BLUP model using different pseudo-phenotypes such as phenotype adjusted for fixed effects, estimated breeding value, and genomic estimated breeding value, using simulated and real data for beef FA profile of Nelore cattle finished in feedlot. A pedigree with phenotypes and genotypes of 10,000 animals were simulated, considering 50% of multiple sires in the pedigree. Regarding to phenotypes, two traits were simulated, one with high heritability (0.58), another with low heritability (0.13). Ten replicates were performed for each trait and results were averaged among replicates. A historical population was created from generation zero to 2020, with a constant size of 2000 animals (from generation zero to 1000) to produce different levels of linkage disequilibrium (LD). Therefore, there was a gradual reduction in the number of animals (from 2000 to 600), producing a ?bottleneck effect? and consequently, genetic drift and LD starting in the generation 1001 to 2020. A total of 335,000 markers (with MAF greater or equal to 0.02) and 1000 QTL were randomly selected from the last generation of the historical population to generate genotypic data for the test population. The phenotypes were computed as the sum of the QTL effects and an error term sampled from a normal distribution with zero mean and variance equal to 0.88. For simulated data, 4000 animals of the generations 7, 8, and 9 (with genotype and phenotype) were used as training population, and 1000 animals of the last generation (10) were used as validation population. A total of 937 Nelore bulls with phenotype for fatty acid profiles (Sum of saturated, monounsaturated, omega 3, omega 6, ratio of polyunsaturated and saturated and polyunsaturated fatty acid profile) were genotyped using the Illumina BovineHD BeadChip (Illumina, San Diego, CA) with 777,962 SNP. To compare the accuracy and bias of direct genomic value (DGV) for different pseudo-phenotypes, the correlation between true breeding value (TBV) or DGV with pseudo-phenotypes and linear regression coefficient of the pseudo-phenotypes on TBV for simulated data or DGV for real data, respectively. For simulated data, the correlations between DGV and TBV for high heritability traits were higher than obtained with low heritability traits. For simulated and real data, the prediction ability was higher for GEBV than for Yc and EBV. For simulated data, the regression coefficient estimates (b(Yc,DGV)), were on average lower than 1 for high and low heritability traits, being inflated. The results were more biased for Yc and EBV than for GEBV. For real data, the GEBV displayed less biased results compared to Yc and EBV for SFA, MUFA, n-3, n-6, and PUFA/SFA. Despite the less biased results for PUFA using the EBV as pseudo-phenotype, the b(Yi,DGV estimates obtained for the different pseudo-phenotypes (Yc, EBV and GEBV) were very close. Genomic information can assist in improving beef fatty acid profile in Zebu cattle, since the use of genomic information yielded genomic values for fatty acid profile with accuracies ranging from low to moderate. Considering both simulated and real data, the ssGBLUP model is an appropriate alternative to obtain more reliable and less biased GEBVs as pseudo-phenotype in situations of missing pedigree, due to high proportion of multiple sires, being more adequate than EBV and Yc to predict direct genomic value for beef fatty acid profile. © 2018, Institute of Plant Genetics, Polish Academy of Sciences, Poznan. 653 $aBOS INDICUS 653 $aGENOMIC PREDICTION 653 $aLIPID PROFILE 653 $aSINGLE-STEP 653 $aSNP-BLUP 700 1 $aPERIPOLLI, E. 700 1 $aDE OLIVEIRA SILVA, R.M. 700 1 $aFEITOSA, F.L.B. 700 1 $aDE LEMOS, M.V.A. 700 1 $aBERTON, M.P. 700 1 $aOLIVIERI, B.F. 700 1 $aESPIGOLAN, R. 700 1 $aTONUSSI, R.L. 700 1 $aGORDO, D.G.M. 700 1 $aDE ALBUQUERQUE, L.G. 700 1 $aDE OLIVEIRA, H.N. 700 1 $aFERRINHO, A.M. 700 1 $aMUELLER, L.F. 700 1 $aKLUSKA, S. 700 1 $aTONHATI, H. 700 1 $aPEREIRA, A.S.C. 700 1 $aAGUILAR, I. 700 1 $aBALDI, F. 773 $tJournal of Applied Genetics, 1 November 2018, volume 59, Issue 4, pages 493-501.
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INIA Las Brujas (LB) |
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Registros recuperados : 12 | |
1. | | PERIPOLLI, E.; BANCHERO, G.; PEREIRA, A.S.C.; BRITO, G.; LA MANNA, A.; FERNANDEZ, E.; MONTOSSI, F.; BALDI, F. Effect of growth path on the performance and carcass traits of Hereford steers finished either on pasture or in feedlot. Animal Production Science, 2018, v. 58, p. 1341-1348. https://doi.org/10.1071/AN16061 Article history: Received: 2 February 2016 // Accepted: 2 December 2016 // Published online: 28 February 2017. Corresponding author. Email: elisa_peripolli@hotmail.comTipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Tacuarembó. |
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2. | | PIAGGIO, L.; QUINTANS, G.; SAN JULIÁN, R.; FERREIRA, G.; ITHURRALDE, J.; FIERRO, S.; PEREIRA, A.S.C.; BALDI, F.; BANCHERO, G. Growth, meat and feed efficiency traits of lambs born to ewes submitted to energy restriction during mid-gestation. Animal, 2018, v. 12, no. 2, p. 256-264. Article history: Received: 17 October 2016 // Accepted: 24 May 2017; First published online 24 July 2017.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó; INIA Treinta y Tres. |
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3. | | LONDOÑO-GIL, M.; CARDONA-CIFUENTES, D.; ESPIGOLAN, R.; PERIPOLLI, E.; LÔBO, R. B.; PEREIRA, A. S. C.; AGUILAR, I.; BALDI, F. Genomic evaluation of commercial herds with different pedigree structures using the single-step genomic BLUP in Nelore cattle. Tropical Animal Health and Production, 2023, Volume 55, Issue 2, Article 95. doi: https://doi.org/10.1007/s11250-023-03508-4 Article history: Received 28 April 2022, Accepted 11 February 2023, To be Published April 2023. -- Correspondence author: Cardona-Cifuentes, D.; Faculdade de Ciências Agrárias e Veterinárias, Universidade Estadual Paulista Júlio de...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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4. | | FERRINHO, A.M.; PERIPOLLI, E.; BANCHERO, G.; PEREIRA, A.S.C.; BRITO, G.; LA MANNA, A.; FERNANDEZ, E.; MONTOSSI, F.; BALDI, F. Effect of growth rate on beef fatty acid profile from Hereford steers finished either on pasture or in feedlot. Journal of Animal Science, 2017, v.95, suppl.4. p.180-181. Article history: Published online: August 10, 2017.Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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5. | | TONUSSI, R.L.; LONDOÑO-GIL, M.; DE OLIVEIRA SILVA, R.M.; MAGALHÃES, A.F.B.; AMORIM, S:T.; KLUSKA, S.; ESPIGOLAN, R.; PERIPOLLI, E.; PEREIRA, A.S.C.; LÔBO, R.B.; AGUILAR, I.; LOURENÇO, D.A.L.; BALDI, F. Accuracy of genomic breeding values and predictive ability for postweaning liveweight and age at first calving in a Nellore cattle population with missing sire information. Tropical Animal Health and Production, 2021, Volume 53, Issue 4, Article number 432. doi: https://doi.org/10.1007/s11250-021-02879-w Article history: Received 19 March 2021; Accepted 30 July 2021; Published online 10 August 2021.
Corresponding author: Londoño-Gil, M.; Grupo de Melhoramento Animal, Faculdade de Ciências Agrárias E Veterinárias, Universidade Estadual...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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6. | | FERRINHO, A.M.; PERIPOLLI, E.; BANCHERO, G.; PEREIRA, A.S.C.; BRITO, G.; LA MANNA, A.; FERNANDEZ, E.; MONTOSSI, F.; KLUSKA, S.; MUELLER, L.F.; BERCHIELLI, T.T.; BALDI, F. Effect of growth path on carcass and meat-quality traits of Hereford steers finished on pasture or in feedlot. Animal Production Science, 2020, Volume 60, Issue 2, Pages 323-332. Doi: https://doi.org/10.1071/AN18075 Article history: Received 30 January 2018 / Accepted 14 May 2019 / Published online 4 December 2019.
Funding information:
This work was supported by Sao Paulo Research Foundation (FAPESP grant #2016/22022-4 and #2011/21241-0), Brazil,...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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7. | | SILVA, R.P.; ESPIGOLAN, R.; BERTON, M.P.; STAFUZZA, N.B.; SANTOS, F.S.; NEGREIROS, M.P.; SCHUCHMANN, R.K.; RODRIGUEZ, J.D.; LÔBO, R.B.; BANCHERO, G.; PEREIRA, A.S.C.; BERGMANN, J.A.G.; BALDI, F. Genetic parameters and genomic regions associated with calving ease in primiparous Nellore heifers. Livestock Science, October 2020, Volume 240, Article number 104183. Doi: https://doi.org/10.1016/j.livsci.2020.104183 Article history: Received 19 February 2020 /Received in revised form 25 June 2020 /Accepted 1 August 2020/Available online 02 August 2020. /Corresponding author: E-mail address: fernandobaldiuy@gmail.com (F. Baldi). This work was...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA La Estanzuela. |
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8. | | VENTURINI, G.C.; BALDI, F.; ERNANDES, M.; REZENDE, R.G.; PEREIRA, A.S.C.; BANCHERO, G.; BRITO, G.; LA MANNA, A.; FERNANDEZ, E.; ACOSTA, Y.; FORMOSO, F.; MONTOSSI, F. Effect of sorghum grain silage and roughage management on animal performance and meat and carcass traits in steers finished in feedlot. In: International Congress of Meat Science and Technology (ICoMST), 59, 2013, Izmir, Turquía.[Resumen expandido]Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA La Estanzuela. |
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9. | | TONUSSI, R. L.; SILVA, R. M. D. O.; MAGALHÃES, A.F.B.; ESPIGOLAN, R.; PERIPOLLI, E.; OLIVIERI, B. F.; FEITOSA, F. L. B.; LEMOS, M. V. A.; BERTON, M. P.; CHIAIA, H. L. J.; PEREIRA, A. S. C.; LÔBO, R. B.; BEZERRA, L. A. F.; MAGNABOSCO, C. D. U.; LOURENÇO, D.A.L.; AGUILAR, I.; BALDI, F. Application of single step genomic BLUP under different uncertain paternity scenarios using simulated data. (Research article). PLoS ONE, September 2017, Volume 12, Issue 9, Article number e0181752. OPEN ACCESS. Article history: Received September 22, 2016 // Accepted July 6, 2017 // Published September 28, 2017.
Data Availability Statement: All relevant data are within the paper, its Supporting Information files, and in Figshare.
Funding: This...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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10. | | LEMOS, M.V.A.; CHIAIA, H.L.J.; BERTON, M.P.; FEITOSA, F.L.B.; ABOUJAOUD, C.; CAMARGO, G.M.F.; PEREIRA, A.S.C.; ALBUQUERQUE, L.G.; FERRINHO, A.M.; MUELLER, L.F.; MAZALLI, M.R.; FURLAN, J.J.M.; CARVALHEIRO, R.; GORDO, D.M.; TONUSSI, R.; ESPIGOLAN, R.; SILVA, R.M.O.; DE OLIVEIRA, H.N.; DUCKETT, S.; AGUILAR, I.; BALDI, F. Genome-wide association between single nucleotide polymorphisms with beef fatty acid profile in Nellore cattle using the single step procedure. BMC Genomics, 2016, v. 17:213. Received: 19 November 2015 / Accepted: 23 February 2016 /Published: 9 March 2016Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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11. | | CHIAIA, H.L.J.; PERIPOLLI, E.; DE OLIVEIRA SILVA, R.M.; FEITOSA, F.L.B.; DE LEMOS, M.V.A.; BERTON, M.P.; OLIVIERI, B.F.; ESPIGOLAN, R.; TONUSSI, R.L.; GORDO, D.G.M.; DE ALBUQUERQUE, L.G.; DE OLIVEIRA, H.N.; FERRINHO, A.M.; MUELLER, L.F.; KLUSKA, S.; TONHATI, H.; PEREIRA, A.S.C.; AGUILAR, I.; BALDI, F. Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes. Journal of Applied Genetics, 1 November 2018, volume 59, Issue 4, pages 493-501. Article history: Received: 15 May 2018 // Revised: 28 August 2018 // Accepted: 17 September 2018.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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12. | | FEITOSA, F. L. B.; OLIVIERI, B. F.; ABOUJAOUDE, C.; PEREIRA, A. S. C.; DE LEMOS, M. V. A.; CHIAIA, H. L. J.; BERTON, M. P.; PERIPOLLI, E.; FERRINHO, A. M.; MUELLER, L. F.; MAZZALI, M. R.; DE ALBUQUERQUE, L. G.; DE OLIVERA, H. N.; TONHATI, H.; ESPIGOLAN, R.; TONUSSI, R. L.; DE OLIVIERA SILVA, R. M.; GORDO, D. G. M.; MAGALHAES, A. F. B.; AGUILAR, I.; BALDI, F. S. B. Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot. Journal of Applied Genetics, 2017, 58 (1), 123-132. Article history: Received: 15 December 2015 /Revised: 10 March 2016 /Accepted: 5 July 2016 / Published Online: 30 July 2016Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 12 | |
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