Jeyaruban, M G; Johnston, D J

Author(s)

Jeyaruban, M G

Johnston, D J

Publication Date

2023-07-26

Abstract

BREEDPLAN publishes EBVs for days to calving (DTC) from natural mating (NAT) as the key measure of genetic merit for female reproduction. More recently, oestrus synchronization and artificial insemination (AI) have become more widely used in beef cattle in Australia to improve reproductive efficiency. The aim of this study was to develop a reproductive module to predict reproductive performance in beef cattle in Australia by using mating outcomes from AI, NAT from females and scrotal circumference (SC) in males. The study analysed mating and calving data collected on Angus cattle in Australia and New Zealand using the events-based recording system introduced in 2010. Genetic parameters for 1st, 2nd and 3rd parities conception rate (CR) to AI and DTC from NAT were estimated. Mean CR from 1st, 2nd and 3rd parities of AI were 51.5%, 56.2% and 70.4% and for DTC of NAT were 303, 308 and 305 days, respectively. Estimated heritability for CR from 1st, 2nd and 3rd parities were 0.15, 0.12 and 0.10 and for DTC were 0.05, 0.11 and 0.14, respectively. Moderate negative genetic correlations (-0.41 to -0.10) were estimated between CR and DTC of all three parities and were significantly lower than 1 suggesting that they were different traits. Therefore, there are benefits in genetic evaluation from including AI data and modelling parities as different traits.

Citation

Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.25, p. 59-62

ISSN

1328-3227

Link

https://hdl.handle.net/1959.11/56088

Publisher

Association for the Advancement of Animal Breeding and Genetics (AAABG)

Title

New module for prediction of reproductive traits EBV in Breedplan

Type of document

Conference Publication

Entity Type

Publication

Author(s)	Jeyaruban, M G Johnston, D J
Publication Date	2023-07-26
Abstract	<p>BREEDPLAN publishes EBVs for days to calving (DTC) from natural mating (NAT) as the key measure of genetic merit for female reproduction. More recently, oestrus synchronization and artificial insemination (AI) have become more widely used in beef cattle in Australia to improve reproductive efficiency. The aim of this study was to develop a reproductive module to predict reproductive performance in beef cattle in Australia by using mating outcomes from AI, NAT from females and scrotal circumference (SC) in males. The study analysed mating and calving data collected on Angus cattle in Australia and New Zealand using the events-based recording system introduced in 2010. Genetic parameters for 1<sup>st</sup>, 2<sup>nd</sup> and 3<sup>rd</sup> parities conception rate (CR) to AI and DTC from NAT were estimated. Mean CR from 1st, 2nd and 3rd parities of AI were 51.5%, 56.2% and 70.4% and for DTC of NAT were 303, 308 and 305 days, respectively. Estimated heritability for CR from 1<sup>st</sup>, 2<sup>nd</sup> and 3<sup>rd</sup> parities were 0.15, 0.12 and 0.10 and for DTC were 0.05, 0.11 and 0.14, respectively. Moderate negative genetic correlations (-0.41 to -0.10) were estimated between CR and DTC of all three parities and were significantly lower than 1 suggesting that they were different traits. Therefore, there are benefits in genetic evaluation from including AI data and modelling parities as different traits.</p>
Citation	Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.25, p. 59-62
ISSN	1328-3227
Link	https://hdl.handle.net/1959.11/56088
Publisher	Association for the Advancement of Animal Breeding and Genetics (AAABG)
Title	New module for prediction of reproductive traits EBV in Breedplan
Type of document	Conference Publication
Entity Type	Publication

New module for prediction of reproductive traits EBV in Breedplan

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