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RESEARCH ARTICLE

Selection strategies for beef cow size and condition

R. E. Hickson A and W. S. Pitchford https://orcid.org/0000-0002-5213-3978 B C
+ Author Affiliations
- Author Affiliations

A Animal Science Group, School of Agriculture and Environment, Massey University, Private Bag 11222, Palmerston North, New Zealand.

B Davies Livestock Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy Campus, Roseworthy, SA 5371, Australia.

C Corresponding author. Email: Wayne.Pitchford@adelaide.edu.au

Animal Production Science - https://doi.org/10.1071/AN21077
Submitted: 11 February 2021  Accepted: 22 June 2021   Published online: 14 October 2021

Abstract

Context: The present work was motivated by beef breeder concerns that selection for high growth and low fat in steers and low mature weight in cows will lead to cows that have low body condition and, therefore, productivity.

Aims: The aim of this was to partition cow weight into size (associated with height) and condition (variation net of height) and test whether the trait net weight is a worthy addition to breeding programs.

Methods: Angus cows (5901) were measured as heifers (4889) and at pre-calving and weaning of their first and second calf (minimum 2690) for weight, height and body condition traits (condition score, ultrasound eye-muscle area, P8 and rib fat depth, and intramuscular fat percentage). A novel trait was developed by fitting height as a covariate to weight, with the residuals termed net weight.

Key results: Net weight was both heritable and genetically correlated with cow condition score and ultrasound measures. However, despite having a lower heritability, condition score was a more effective measure for genetic improvement of cow condition.

Conclusions: A measure of cow condition should be included in genetic evaluation programs but net weight is unlikely to be that measure.

Implications: Condition score should be recorded at the time of mature cow weight for breeding programs.

Keywords: beef, cow condition, net weight.


References

Accioly JM, Copping KJ, Deland MPB, Hebart ML, Herd RM, Lee SJ, Jones FM, Laurence M, Speijers EJ, Walmsley BJ, Pitchford WS (2018) Divergent breeding values for fatness or residual feed intake in Angus cattle. 4. Fat EBVs’ influence on fatness fluctuation and supplementary feeding requirements. Animal Production Science 58, 67–79.
Divergent breeding values for fatness or residual feed intake in Angus cattle. 4. Fat EBVs’ influence on fatness fluctuation and supplementary feeding requirements.Crossref | GoogleScholarGoogle Scholar |

Butler DG, Cullis BR, Gilmour AR, Gogel BJ (2009) ASReml-R 3 Reference Manual. Available at https://asreml.kb.vsni.co.uk/knowledge-base/asreml_r_documentation/ [Verified 20 December 2018]

De Faveri J, Donoghue KA, Lee SJ, Verbyla AP, Pitchford WS (2018) Maternal body composition in seedstock herds. 3. Multivariate analysis using factor analytic models and cluster analysis. Animal Production Science 58, 135–144.
Maternal body composition in seedstock herds. 3. Multivariate analysis using factor analytic models and cluster analysis.Crossref | GoogleScholarGoogle Scholar |

Deland MPB, Copping KJ, Graham JF, Lee SJ, McGilchrist P, Pitchford WS (2018) Divergent breeding values for fatness or residual feed intake in Angus cattle. 6. Dam-line impacts on steer carcass compliance. Animal Production Science 58, 94–102.
Divergent breeding values for fatness or residual feed intake in Angus cattle. 6. Dam-line impacts on steer carcass compliance.Crossref | GoogleScholarGoogle Scholar |

Donoghue KA, Lee SJ, Parnell PF, Pitchford WS (2018) Maternal body composition in seedstock herds. 4. Genetic parameters for body composition of Angus and Hereford cows. Animal Production Science 58, 145–155.
Maternal body composition in seedstock herds. 4. Genetic parameters for body composition of Angus and Hereford cows.Crossref | GoogleScholarGoogle Scholar |

Graham JF (2006) Condition scoring of beef cattle. Agriculture Victoria. Available at http://agriculture.vic.gov.au/agriculture/livestock/beef/handling-and-management/condition-scoring-of-beef-cattle [Verified 20 December 2018]

Graham JF, Clarke AJ (1984) The relationship of condition score to carcass data in beef cattle. Animal Production Science 15, 369–372.

Graser H, Tier B, Johnston DJ, Barwick SA (2005) Genetic evaluation for the beef industry in Australia. Australian Journal of Experimental Agriculture 45, 913–921.
Genetic evaluation for the beef industry in Australia.Crossref | GoogleScholarGoogle Scholar |

Lee SJ, Nuberg IK, Pitchford WS (2018) Maternal body composition in seedstock herds. 1. Grazing management strategy influences perspectives on optimal balance of production traits and maternal productivity. Animal Production Science 58, 117–124.
Maternal body composition in seedstock herds. 1. Grazing management strategy influences perspectives on optimal balance of production traits and maternal productivity.Crossref | GoogleScholarGoogle Scholar |

Meyer K, Johnston DJ, Graser H-U (2004) Estimates of the complete genetic covariance matrix for traits in ulti-trait genetic evaluation of Australian Hereford cattle. Australian Journal of Agricultural Research 55, 195–210.
Estimates of the complete genetic covariance matrix for traits in ulti-trait genetic evaluation of Australian Hereford cattle.Crossref | GoogleScholarGoogle Scholar |

Pitchford WS, Lee SJ, Donoghue KA, Walmsley BJ (2015) Selection for reduced mature cow weight will reduce body condition unless accompanied by selection for increased fat. Proceedings of the Association for the Advancement of Animal Breeding and Genetics 21, 189–192.

Pitchford WS, Accioly JM, Banks RG, Barnes AL, Barwick SA, Copping KJ, Deland MPB, Donoghue KA, Edwards N, Hebart ML, Herd RM, Jones FM, Laurence M, Lee SJ, McKiernan WA, Parnell PF, Speijers EJ, Tudor GD, Graham JF (2018a) Genesis, design and methods of the Beef CRC Maternal Productivity Project. Animal Production Science 58, 20–32.
Genesis, design and methods of the Beef CRC Maternal Productivity Project.Crossref | GoogleScholarGoogle Scholar |

Pitchford WS, Lines DS, Wilkes MJ (2018b) Variation in residual feed intake depends on feed on offer. Animal Production Science 58, 1414–1422.
Variation in residual feed intake depends on feed on offer.Crossref | GoogleScholarGoogle Scholar |

Roughsedge T, Am PR, Thompson R, Simm G (2005) Genetic parameters for a maternal breeding goal in beef production. Journal of Animal Science 83, 2319–2329.
Genetic parameters for a maternal breeding goal in beef production.Crossref | GoogleScholarGoogle Scholar | 16160043PubMed |

Walmsley BJ, Barwick SA (2018) GxE for beef cattle breeding objectives as a consequence of differences in cow feed cost. Proceedings World Congress on Genetics Applied to Livestock Production 11, 866

Walmsley BJ, Lee SJ, Parnell PF, Pitchford WS (2018) A review of factors influencing key biological components of maternal productivity in temperate beef cattle. Animal Production Science 58, 1–19.
A review of factors influencing key biological components of maternal productivity in temperate beef cattle.Crossref | GoogleScholarGoogle Scholar |

Weik F, Archer JA, Morris ST, Garrick DJ, Hickson RE (2020) Relationship between body condition score and pregnancy rates following artificial insemination and subsequent natural mating in beef cows on commercial farms in New Zealand. New Zealand Journal of Animal Science and Production 80, 14–20.

Wolcott ML, Johnston DJ, Barwick SA (2014) Genetic relationships of female reproduction with growth, body composition, maternal weaning weight and tropical adaption in two tropical beef genotypes. Animal Production Science 54, 60–73.
Genetic relationships of female reproduction with growth, body composition, maternal weaning weight and tropical adaption in two tropical beef genotypes.Crossref | GoogleScholarGoogle Scholar |