Genetic analysis of litter size and number of kids born alive across parities in Spanish goat breeds using a random regression model

Genetic parameters of litter size (LS) and number of kids born alive (NBA) were estimated across parities in Florida and Payoya goat breeds using a threshold random regression model (RRM). We analysed the reproductive records for the Florida and Payoya breeds separately, and a total of 130.849 and 6...

Full description

Bibliographic Details
Main Authors: Chiraz Ziadi, Eva Muñoz-Mejías, Manuel Sánchez Rodríguez, María Dolores López, Olga González-Casquet, Antonio Molina Alcalá
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Italian Journal of Animal Science
Subjects:
Online Access:http://dx.doi.org/10.1080/1828051X.2020.1869601
_version_ 1811297136562667520
author Chiraz Ziadi
Eva Muñoz-Mejías
Manuel Sánchez Rodríguez
María Dolores López
Olga González-Casquet
Antonio Molina Alcalá
author_facet Chiraz Ziadi
Eva Muñoz-Mejías
Manuel Sánchez Rodríguez
María Dolores López
Olga González-Casquet
Antonio Molina Alcalá
author_sort Chiraz Ziadi
collection DOAJ
description Genetic parameters of litter size (LS) and number of kids born alive (NBA) were estimated across parities in Florida and Payoya goat breeds using a threshold random regression model (RRM). We analysed the reproductive records for the Florida and Payoya breeds separately, and a total of 130.849 and 67.478 reproductive records from the first to the seventh parities from Florida and Payoya, respectively, were included in the analysis. Random regressions on Legendre polynomials of standardised parity were included for permanent environmental and additive genetic effects. We based our estimation of all the covariance components on Bayesian inference under categorical distribution and considered heterogeneous residual variances in the model. The estimates of heritabilities ranged from null to 0.37 for LS and from 0.02 to 0.20 for NBA, while the repeatability estimates were between 0.008–0.60 and 0.03–0.44 for LS and NBA, respectively. Phenotypic correlations within-trait along parities ranged widely from −0.31 to 0.97, while the genetic correlations within-trait through parities showed a wider range and magnitude of values, from −0.98 to 0.99 for LS and from −0.72 to 0.99 for NBA. The estimates of genetic correlations between LS and NBA in the different parities were positive in the first two parities and negative in the later ones. Due to the noticeable changes in variance and the incomplete genetic correlations, the use of a random regression model to analyse LS and NBA is recommended in goat breeds.HIGHLIGHTS A bivariate threshold random regression model has been used for the first time to estimate genetic parameters of litter size and number of kids born alive across parities in Spanish goat breeds. The evolution of genetic parameters along parities is different between Florida and Payoya that have different production systems, being more intensive in the case of the Florida breed. Estimates of variance were not constant across parities for both traits and breeds. Genetic correlations within-trait across parities were different from unity. Thus, LS and NBA should be treated as different traits in successive parities. Given that the estimates of variance and covariances are not constant across parities for both traits and breeds, the use of RRM is highly recommended.
first_indexed 2024-04-13T05:58:37Z
format Article
id doaj.art-6ec0f2bbd42340f1b57fd8ff6cc74365
institution Directory Open Access Journal
issn 1594-4077
1828-051X
language English
last_indexed 2024-04-13T05:58:37Z
publishDate 2021-01-01
publisher Taylor & Francis Group
record_format Article
series Italian Journal of Animal Science
spelling doaj.art-6ec0f2bbd42340f1b57fd8ff6cc743652022-12-22T02:59:31ZengTaylor & Francis GroupItalian Journal of Animal Science1594-40771828-051X2021-01-012019410110.1080/1828051X.2020.18696011869601Genetic analysis of litter size and number of kids born alive across parities in Spanish goat breeds using a random regression modelChiraz Ziadi0Eva Muñoz-Mejías1Manuel Sánchez Rodríguez2María Dolores López3Olga González-Casquet4Antonio Molina Alcalá5Departamento de Genética, Universidad de CórdobaDepartamento de Patología Animal, Producción Animal, Bromatología y Tecnología de los Alimentos de la Universidad de Las Palmas de Gran Canaria. Campus Universitario Cardones de ArucasDepartamento de Producción Animal, Universidad de Córdoba. Campus de Rabanales. Ctra, Madrid-CádizACRIFLOR. Edificio de Producción Animal. Campus de Rabanales. CtraAsociación de Criadores de la Raza Caprina PayoyaDepartamento de Genética, Universidad de CórdobaGenetic parameters of litter size (LS) and number of kids born alive (NBA) were estimated across parities in Florida and Payoya goat breeds using a threshold random regression model (RRM). We analysed the reproductive records for the Florida and Payoya breeds separately, and a total of 130.849 and 67.478 reproductive records from the first to the seventh parities from Florida and Payoya, respectively, were included in the analysis. Random regressions on Legendre polynomials of standardised parity were included for permanent environmental and additive genetic effects. We based our estimation of all the covariance components on Bayesian inference under categorical distribution and considered heterogeneous residual variances in the model. The estimates of heritabilities ranged from null to 0.37 for LS and from 0.02 to 0.20 for NBA, while the repeatability estimates were between 0.008–0.60 and 0.03–0.44 for LS and NBA, respectively. Phenotypic correlations within-trait along parities ranged widely from −0.31 to 0.97, while the genetic correlations within-trait through parities showed a wider range and magnitude of values, from −0.98 to 0.99 for LS and from −0.72 to 0.99 for NBA. The estimates of genetic correlations between LS and NBA in the different parities were positive in the first two parities and negative in the later ones. Due to the noticeable changes in variance and the incomplete genetic correlations, the use of a random regression model to analyse LS and NBA is recommended in goat breeds.HIGHLIGHTS A bivariate threshold random regression model has been used for the first time to estimate genetic parameters of litter size and number of kids born alive across parities in Spanish goat breeds. The evolution of genetic parameters along parities is different between Florida and Payoya that have different production systems, being more intensive in the case of the Florida breed. Estimates of variance were not constant across parities for both traits and breeds. Genetic correlations within-trait across parities were different from unity. Thus, LS and NBA should be treated as different traits in successive parities. Given that the estimates of variance and covariances are not constant across parities for both traits and breeds, the use of RRM is highly recommended.http://dx.doi.org/10.1080/1828051X.2020.1869601litter sizenumber of kids born alivegenetic parametersrandom regression modeldairy goat
spellingShingle Chiraz Ziadi
Eva Muñoz-Mejías
Manuel Sánchez Rodríguez
María Dolores López
Olga González-Casquet
Antonio Molina Alcalá
Genetic analysis of litter size and number of kids born alive across parities in Spanish goat breeds using a random regression model
Italian Journal of Animal Science
litter size
number of kids born alive
genetic parameters
random regression model
dairy goat
title Genetic analysis of litter size and number of kids born alive across parities in Spanish goat breeds using a random regression model
title_full Genetic analysis of litter size and number of kids born alive across parities in Spanish goat breeds using a random regression model
title_fullStr Genetic analysis of litter size and number of kids born alive across parities in Spanish goat breeds using a random regression model
title_full_unstemmed Genetic analysis of litter size and number of kids born alive across parities in Spanish goat breeds using a random regression model
title_short Genetic analysis of litter size and number of kids born alive across parities in Spanish goat breeds using a random regression model
title_sort genetic analysis of litter size and number of kids born alive across parities in spanish goat breeds using a random regression model
topic litter size
number of kids born alive
genetic parameters
random regression model
dairy goat
url http://dx.doi.org/10.1080/1828051X.2020.1869601
work_keys_str_mv AT chirazziadi geneticanalysisoflittersizeandnumberofkidsbornaliveacrossparitiesinspanishgoatbreedsusingarandomregressionmodel
AT evamunozmejias geneticanalysisoflittersizeandnumberofkidsbornaliveacrossparitiesinspanishgoatbreedsusingarandomregressionmodel
AT manuelsanchezrodriguez geneticanalysisoflittersizeandnumberofkidsbornaliveacrossparitiesinspanishgoatbreedsusingarandomregressionmodel
AT mariadoloreslopez geneticanalysisoflittersizeandnumberofkidsbornaliveacrossparitiesinspanishgoatbreedsusingarandomregressionmodel
AT olgagonzalezcasquet geneticanalysisoflittersizeandnumberofkidsbornaliveacrossparitiesinspanishgoatbreedsusingarandomregressionmodel
AT antoniomolinaalcala geneticanalysisoflittersizeandnumberofkidsbornaliveacrossparitiesinspanishgoatbreedsusingarandomregressionmodel