Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Evaluation of repeatability and pre-structured repeatability models for genetic analyses of repeated records of fat and protein contents of milk in Iranian Holstein cows

M. Asadi Fozi
+ Author Affiliations
- Author Affiliations

A Department of Animal Science, Faculty of Agricultural, Shahid Bahonar University of Kerman, Kerman, Iran.

B Adjunct/Honorary Associate, School of Rural Science and Agriculture, University of New England, Armidale, NSW 2350, Australia.

C Corresponding author. Email: masadi@uk.ac.ir

Animal Production Science - https://doi.org/10.1071/AN16354
Submitted: 1 June 2016  Accepted: 19 May 2017   Published online: 11 July 2017

Abstract

Fat and protein content of milk measurements from first to fifth lactations of Iranian Holstein cows were analysed using repeatability and several pre-structured repeatability models that varied in additive genetic variance structure and fitted heterogeneous residual co (variance). For this research, a total of 257 197 fat and 218 688 protein records were used. The records were measured on 116 531 cows born between 2010 and 2014. The animals originated from 2355 sires and 91 212 dams. Pre-structured repeatability models with heterogeneous residual co (variance) and the respective genetic variance structure were the best models for genetic analysis of the fat and protein data. The results derived from these models showed that heritability of both fat and protein are decreased from first to fifth lactations. Heritability of fat measured at first, second, third, fourth and fifth locations were between 0.10 and 0.19 and those for protein were between 0.07 and 0.24. Moderate to high phenotypic correlations were estimated between the repeated records of the fat and protein. Values of 0.13 and 0.16 were estimated for heritability of fat and protein using repeatability model. Phenotypic correlations among the repeated records of fat and protein were estimated to be 0.30 and 0.33, respectively when this model was applied. The results showed the genetic variance, heritability and phenotypic correlation of the fat and protein are changed over the lactations but the genetic parameters derived from the repeatability model are homogenous whereas in both models unity genetic correlations are assumed among the repeated records. The results of this study show that the repeatability model is not an appropriate model for genetic analysis of the repeated records of fat and protein in the population investigated and can be improved when pre-structured repeatability model is used. In the present study homogenous genetic covariance was assumed among the fat and protein taken at the different lactations which can be modelled in future studies for more improving the models.

Additional keywords: genetic analysis, repeatability model.


References

Albuquerque LG, Meyer K (2001) Estimates of covariance functions for growth from birth to 630 days of age in Nelore cattle. Journal of Animal Science 79, 2776–2789.
Estimates of covariance functions for growth from birth to 630 days of age in Nelore cattle.CrossRef | 1:CAS:528:DC%2BD3MXptVaksrc%3D&md5=b08c6a4966ec31fe9ab640fa4a9dd586CAS |

Alinaghizadeh R, Mohammadabadi MR, Moradnasab Badrabadi S (2007) Kappa-casein gene study in Iranian Sistani cattle breed (Bos indicus) using PCR-RFLP. Pakistan Journal of Biological Sciences 10, 4291–4294.
Kappa-casein gene study in Iranian Sistani cattle breed (Bos indicus) using PCR-RFLP.CrossRef |

Asadi Fozi M, Van der Werf JHJ, Swan AA (2012) Modelling genetic co (variance) structure across ages of mean fibre diameter in sheep using multivariate and random regression analysis. Animal Production Science 52, 1019–1026.
Modelling genetic co (variance) structure across ages of mean fibre diameter in sheep using multivariate and random regression analysis.CrossRef |

Coelli KA, Gilmour AR, Atkins KD (1998) Comparison of genetic covariance models for annual measurements of fleece weight and fibre diameter. Proceeding of 6th World Congress on Genetics Applied to Livestock Production 24, 31–34.

Ebrahimi Z, Mohammadabadi MR, Esmailizadeh AK, Khezri A, Najmi Noori A (2015a) Association of PIT1 gene with milk fat percentage in Holstein cattle. Iranian Journal of Applied Animal Science 5, 575–582.

Ebrahimi Z, Mohammadabadi MR, Esmailizadeh AK, Khezri A (2015b) Association of PIT1 gene and milk protein percentage in Holstein cattle. Journal of Livestock Science and Technologies 3, 41–49.

Gilmour AR, Gogel BJ, Cullis BR, Welham SJ, Thompson R (2002) ‘ASReml user guide release 1.0.’ (VSN International Ltd: Hemel Hempstead, UK)

Javanmard A, Mohammadabadi MR, Zarrigabayi GE, Gharahedaghi AA, Nassiry MR, Javadmansh A, Asadzadeh N (2008) Polymorphism within the intron region of the bovine leptin gene in Iranian Sarabi cattle (Iranian Bos taurus). Russian Journal of Genetics 44, 495–497.
Polymorphism within the intron region of the bovine leptin gene in Iranian Sarabi cattle (Iranian Bos taurus).CrossRef | 1:CAS:528:DC%2BD1cXltlCrtL4%3D&md5=633e0d682b00cadbb37335886bc0ccc2CAS |

Kharrati Koopaei H, Mohammad Abadi MR, Ansari Mehyari S, Esmaili Zadeh Koshkoiyeh A, Tarang A, Nikbakhti M (2011) Genetic variation of DGAT1 gene and its association with milk production in Iranian Holstein cattle breed population. Iranian Journal of Animal Science Research 3, 185–192.

Kharrati Koopaei H, Mohammadabadi MR, Ansari Mahyari S, Tarang AR, Potki P, Esmailizadeh AK (2012a) Effect of DGAT1 variants on milk composition traits in Iranian Holstein cattle population. Animal Science Papers and Reports 30, 231–240.

Kharrati Koopaei H, Mohammadabadi MR, Tarang A, Kharratikoopaei M, Esmailizadeh Koshkoiyeh A (2012b) Study of the association between the allelic variations in DGAT1 gene with mastitis in Iranian Holstein cattle. Modern Genetics Journal 7, 101–104.

Mohammadabadi MR, Torabi A, Tahmourespoor M, Baghizadeh A, Esmailizadeh Koshkoie A, Mohammadi A (2010) Analysis of bovine growth hormone gene polymorphism of local and Holstein cattle breeds in Kerman province of Iran using polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP). African Journal of Biotechnology 9, 6848–6852.

Mohammadi A, Nassiry MR, Mosafer J, Mohammadabadi MR, Sulimova GE (2009) Distribution of BoLA-DRB3 allelic frequencies and identification of a new allele in the Iranian cattle breed Sistani (Bos indicus). Russian Journal of Genetics 45, 198–202.
Distribution of BoLA-DRB3 allelic frequencies and identification of a new allele in the Iranian cattle breed Sistani (Bos indicus).CrossRef | 1:CAS:528:DC%2BD1MXitlWms7w%3D&md5=48958524e79f3e65e8a5cc7a41e6b9b4CAS |

Pasandideh M, Mohammadabadi MR, Esmailizadeh AK, Tarang A (2015) Association of bovine PPARGC1A and OPN genes with milk production and composition in Holstein cattle. Czech Journal of Animal Science 60, 97–104.
Association of bovine PPARGC1A and OPN genes with milk production and composition in Holstein cattle.CrossRef | 1:CAS:528:DC%2BC28XhsFejsb%2FF&md5=9dafcc5d26b71057cdd299c65a26c6baCAS |

Wang Z, Wang R, Li J, Zhang W, Wuriliga , Su R, Liu Z, Zhou J, Wei Y, Meng R, Zhang Y (2014) Modelling genetic co-variance structure across ages of fleece traits in Inner Mongolia cashmere goat production using repeatability and multivariate analysis. Livestock Science 161, 1–5.
Modelling genetic co-variance structure across ages of fleece traits in Inner Mongolia cashmere goat production using repeatability and multivariate analysis.CrossRef |

Wolfinger RD (1993) Covariance structure in general mixed models. Communications in Statistics 22, 1079–1106.
Covariance structure in general mixed models.CrossRef |

Zeynadini S, Asadi Fozi M, Ayatolahi A (2014) Modelling genetic co (variance) structure across ages of milk production in Holstein cows. PhD Thesis, Shahid Bahonar University of Kerman, Kerman, Iran.



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