Estimation of Genetic Parameters for Heifer and Cow Fertility Traits Derived from On-Farm AI Service Records of South African Holstein Cattle

This study aimed to derive additional fertility traits from service data and estimate their genetic parameters for their possible inclusion in the South African Holstein cattle breeding programs. Service records (<i>n</i> = 64,464) were collected from 18 South African Holstein herds usin...

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Main Authors: Ramadimetje Delight Kgari, Carel Muller, Kennedy Dzama, Mahlako Linah Makgahlela
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Animals
Subjects:
Online Access:https://www.mdpi.com/2076-2615/12/16/2023
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author Ramadimetje Delight Kgari
Carel Muller
Kennedy Dzama
Mahlako Linah Makgahlela
author_facet Ramadimetje Delight Kgari
Carel Muller
Kennedy Dzama
Mahlako Linah Makgahlela
author_sort Ramadimetje Delight Kgari
collection DOAJ
description This study aimed to derive additional fertility traits from service data and estimate their genetic parameters for their possible inclusion in the South African Holstein cattle breeding programs. Service records (<i>n</i> = 64,464) were collected from 18 South African Holstein herds using on-farm automated milk recording systems. Using a multivariate model, the data were used to estimate heritabilities and correlations among several fertility traits. The pedigree data consisted of information on 18,592 animals born between 1981 and 2013. Heritability estimates observed were low to moderate (0.02 ± 0.00 to 0.24 ± 0.00), indicating that there is some genetic basis for the explored fertility traits to warrant selection. The genetic correlations observed between fertility traits were generally favorable, with some high correlations between age at first service (AFS) and services per conception for heifers (SPCh) (0.73 ± 0.00) and between days from calving to first service (CFS) and services per conception for cows (SPC) (0.90 ± 0.01). Positive genetic correlations indicate that improvement in one trait is coupled with a correlated genetic increase in another trait. The studied fertility traits could be used in addition to AFC and CI to serve as a basis for the selection of reproduction in dairy cattle to minimize selection bias.
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spelling doaj.art-08ad8036ca864babbe3c4fa76e3e03632023-11-30T23:03:33ZengMDPI AGAnimals2076-26152022-08-011216202310.3390/ani12162023Estimation of Genetic Parameters for Heifer and Cow Fertility Traits Derived from On-Farm AI Service Records of South African Holstein CattleRamadimetje Delight Kgari0Carel Muller1Kennedy Dzama2Mahlako Linah Makgahlela3Agricultural Research Council, Department of Animal Breeding and Genetics, Private Bag X2, Irene 0062, South AfricaDepartment of Animal Sciences, University of Stellenbosch, Stellenbosch 7600, South AfricaDepartment of Animal Sciences, University of Stellenbosch, Stellenbosch 7600, South AfricaAgricultural Research Council, Department of Animal Breeding and Genetics, Private Bag X2, Irene 0062, South AfricaThis study aimed to derive additional fertility traits from service data and estimate their genetic parameters for their possible inclusion in the South African Holstein cattle breeding programs. Service records (<i>n</i> = 64,464) were collected from 18 South African Holstein herds using on-farm automated milk recording systems. Using a multivariate model, the data were used to estimate heritabilities and correlations among several fertility traits. The pedigree data consisted of information on 18,592 animals born between 1981 and 2013. Heritability estimates observed were low to moderate (0.02 ± 0.00 to 0.24 ± 0.00), indicating that there is some genetic basis for the explored fertility traits to warrant selection. The genetic correlations observed between fertility traits were generally favorable, with some high correlations between age at first service (AFS) and services per conception for heifers (SPCh) (0.73 ± 0.00) and between days from calving to first service (CFS) and services per conception for cows (SPC) (0.90 ± 0.01). Positive genetic correlations indicate that improvement in one trait is coupled with a correlated genetic increase in another trait. The studied fertility traits could be used in addition to AFC and CI to serve as a basis for the selection of reproduction in dairy cattle to minimize selection bias.https://www.mdpi.com/2076-2615/12/16/2023cow fitnessgenetic improvementheritability
spellingShingle Ramadimetje Delight Kgari
Carel Muller
Kennedy Dzama
Mahlako Linah Makgahlela
Estimation of Genetic Parameters for Heifer and Cow Fertility Traits Derived from On-Farm AI Service Records of South African Holstein Cattle
Animals
cow fitness
genetic improvement
heritability
title Estimation of Genetic Parameters for Heifer and Cow Fertility Traits Derived from On-Farm AI Service Records of South African Holstein Cattle
title_full Estimation of Genetic Parameters for Heifer and Cow Fertility Traits Derived from On-Farm AI Service Records of South African Holstein Cattle
title_fullStr Estimation of Genetic Parameters for Heifer and Cow Fertility Traits Derived from On-Farm AI Service Records of South African Holstein Cattle
title_full_unstemmed Estimation of Genetic Parameters for Heifer and Cow Fertility Traits Derived from On-Farm AI Service Records of South African Holstein Cattle
title_short Estimation of Genetic Parameters for Heifer and Cow Fertility Traits Derived from On-Farm AI Service Records of South African Holstein Cattle
title_sort estimation of genetic parameters for heifer and cow fertility traits derived from on farm ai service records of south african holstein cattle
topic cow fitness
genetic improvement
heritability
url https://www.mdpi.com/2076-2615/12/16/2023
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AT kennedydzama estimationofgeneticparametersforheiferandcowfertilitytraitsderivedfromonfarmaiservicerecordsofsouthafricanholsteincattle
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