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RESEARCH ARTICLE

Divergent breeding values for fatness or residual feed intake in Angus cattle. 4. Fat EBVs’ influence on fatness fluctuation and supplementary feeding requirements

J. M. Accioly B H L , K. J. Copping C I , M. P. B. Deland C J , M. L. Hebart D , R. M. Herd E , S. J. Lee D , F. M. Jones B , M. Laurence F , E. J. Speijers G K , B. J. Walmsley E and W. S. Pitchford D
+ Author Affiliations
- Author Affiliations

A Cooperative Research Centre for Beef Genetic Technologies.

B Department of Agriculture and Food, Bunbury, WA 6230, Australia.

C South Australian Research and Development Institute, Struan Agricultural Centre, Naracoorte, SA 5271, Australia.

D School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy Campus, SA 5371, Australia.

E NSW Department of Primary Industries, University of New England, NSW 2351, Australia.

F College of Veterinary Medicine, Murdoch University, WA 6150, Australia.

G Department of Agriculture and Food, South Perth, WA 6151, Australia.

H Present address: PO Box 75 Gelorup, WA 6230, Australia.

I Present address: Walteela, Avenue Range, SA 5273, Australia.

J Present address: Fifth Avenue, Naracoorte, SA 5271, Australia.

K Present address: 11A Swanbourne Street, Fremantle, WA 6160, Australia.

L Corresponding author. Email: jeisane.alis@gmail.com

Animal Production Science 58(1) 67-79 https://doi.org/10.1071/AN14797
Submitted: 5 September 2014  Accepted: 15 July 2015   Published: 7 September 2016

Abstract

The productivity of 500 Angus cows, divergently selected for either rib fat or residual feed intake (RFI) based on BREEDPLAN estimated breeding values (EBVs) and managed under two levels of nutrition (stocking rates), was evaluated. The study examined the effects of genetic line, nutrition and weaning history on profiles for weight, rib fat depth, fatness (rib fat depth adjusted for weight) and supplementary feed requirements from just before the first joining as heifers through to the weaning of their third calf. Cows gained both weight and fat as they grew older. Observed fluctuations in weight and rib fat depth, within each year, were associated with pasture availability and physiological demands. Cows that did not wean a calf in a given year became heavier and fatter than cows that did; and they remained so when they calved the following year. High-fat and High-RFI were always fatter and lighter than Low-fat and Low-RFI cows, respectively. The difference in rib fat and fatness between High- and Low-RFI lines (P < 0.001) was similar to, although slightly greater than, the difference between High- and Low-fat lines (P = 0.048) reflecting differences in rib fat EBVs between High-RFI (3.2 ± 1.47) and Low-RFI (–0.7 ± 1.3) compared with High-fat (1.1 ± 0.78) and Low-fat (–1.4 ± 0.67). Cows on High-Nutrition were heavier and fatter than those on Low-Nutrition (P < 0.001) but there were no significant interactions between genetic line and nutrition (P > 0.05). Supplementary feeding threshold was reached earlier by Low-fat and Low-RFI cows than their counterparts. Calculations based on the data in the present paper estimate that if cows lose condition at a rapid rate (1 condition score/month), then a cow with an extra 1 mm rib fat EBV would take 7.5 days longer to reach the same supplementary feeding threshold. Fat EBVs can, therefore, be a useful tool in assisting beef producers to match genotype to their production system.

Additional keywords: body reserves, calving history, energetic efficiency, nutrition, supplementation.


References

Anderton L, Accioly JM, Copping KJ, Deland MPB, Hebart ML, Herd RM, Jones FM, Laurence M, Lee SJ, Speijers EJ, Walmsley BJ, Pitchford WS (2016) Divergent genotypes for fatness or residual feed intake in Angus cattle. 7. Low-fat and low-RFI cows produce more liveweight and better gross margins than do high-fat and high-RFI cows when managed under the same conditions. Animal Production Science
Divergent genotypes for fatness or residual feed intake in Angus cattle. 7. Low-fat and low-RFI cows produce more liveweight and better gross margins than do high-fat and high-RFI cows when managed under the same conditions.Crossref | GoogleScholarGoogle Scholar |

Byrne TJ Santos B Amer PR Bryant JR 2013 The economic value of body condition score in New Zealand Seasonal dairying systems. Proceedings of the Association for the Advancement of Animal Breeding and Genetics Conference 20 479 482

Chilliard Y, Ferlay A, Faulconnier Y, Bonnet M, Rouel J, Bocquier F (2000) Adipose tissue metabolism and its role in adaptations to undernutrition in ruminants. The Proceedings of the Nutrition Society 59, 127–134.
Adipose tissue metabolism and its role in adaptations to undernutrition in ruminants.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXktF2gsrY%3D&md5=6552dcae45f3deb61d2db087e392b1bbCAS | 10828182PubMed |

Copping KJ, Accioly JM, Deland MPB, Edwards NJ, Graham JF, Hebart ML, Herd RM, Jones FM, Laurence M, Lee SJ, Speijers EJ, Pitchford WS (2016) Divergent genotypes for fatness or residual feed intake in Angus cattle. 3. Performance of mature cows. Animal Production Science.
Divergent genotypes for fatness or residual feed intake in Angus cattle. 3. Performance of mature cows.Crossref | GoogleScholarGoogle Scholar |

CSIRO (2012) ‘Grazfeed.’ Available at http://www.grazplan.csiro.au/?q=node/2 [Verified 17 January 2012]

Deland MPB, Accioly JM, Copping KJ, Graham JF, Lee SJ, McGilchrist P, Pitchford WS (2016) Divergent breeding values for fatness or residual feed intake in Angus cattle. 6. Dam-line impacts on steer carcass compliance. Animal Production Science
Divergent breeding values for fatness or residual feed intake in Angus cattle. 6. Dam-line impacts on steer carcass compliance.Crossref | GoogleScholarGoogle Scholar |

Della Bosca TJ, McIntyre BL, Read D, Smart WL, Taylor EG, Tudor GD (2004) Optimising feed supply, reproductive efficiency and progeny growth to meet market specifications. 5. Economic analysis of autumn and winter calving. Animal Production in Australia 25, 228

DeRouen SM, Franke DE, Morrison DG, Wyatt WE, Coombs DF, White TW, Humes PE, Greene BB (1994) Prepartum body condition and weight influences on reproductive performance of first-calf beef cows. Journal of Animal Science 72, 1119–1125.

Donoghue KA, Lee SJ, Parnell PF, Pitchford WS (2016) Genetic parameters for body composition of Angus and Hereford cows. Animal Production Science
Genetic parameters for body composition of Angus and Hereford cows.Crossref | GoogleScholarGoogle Scholar | in press.

Exton S (2001) ‘Testing beef cattle for net feed efficiency – standards manual.’ Available at http://www.dpi.nsw.gov.au/agriculture/livestock/beef/breeding/general/feed-efficiency [Verified 1 November 2012]

Freetly HC, Nienaber JA (1998) Efficiency of energy and nitrogen loss and gain in mature cows. Journal of Animal Science 76, 896–905.

Freetly HC, Ferrell CL, Jenkins TG (2000) Timing of realimentation of mature cows that were feed-restricted during pregnancy influences calf birth weights and growth rates. Journal of Animal Science 78, 2790–2796.

Freetly HC, Ferrell CL, Jenkins TG (2005) Nutritionally altering weight gain patterns of pregnant heifers and young cows changes the time that feed resources are offered without any difference in production. Journal of Animal Science 83, 916–926.

Freetly HC, Nienaber JA, Brown-Brandl T (2008) Partitioning of energy in pregnant beef cows during nutritionally induced body weight fluctuation. Journal of Animal Science 86, 370–377.
Partitioning of energy in pregnant beef cows during nutritionally induced body weight fluctuation.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhsVajs7g%3D&md5=daf5569d09baf6944b88455a67ccd0c8CAS | 17998430PubMed |

Gilmour AR, Cullis BR, Thompson R (2009) ‘ASReml update: what’s new in release 3.00.’ (VSN International: Hemel Hempstead, UK)

Graham JF (2006) ‘Condition scoring of beef cattle.’ Available at http://www.dpi.vic.gov.au/agriculture/beef-and-sheep/beef/handling-and-management/condition-scoring-of-beef-cattle [Verified 1 November 2012]

Grossi DA, Frizzas OG, Paz CCP, Bezerra LAF, Lôbo RB, Oliveria JA, Munari DP (2008) Genetic associations between accumulated productivity, and reproductive and growth traits in Nelore cattle. Livestock Science 117, 139–146.
Genetic associations between accumulated productivity, and reproductive and growth traits in Nelore cattle.Crossref | GoogleScholarGoogle Scholar |

Hebart ML, Accioly JM, Copping KJ, Deland MPB, Herd RM, Jones FM, Laurence M, Lee SJ, Lines DS, Speijers EJ, Walmsley BJ, Pitchford WS (2016) Divergent breeding values for fatness or residual feed intake in Angus cattle. 5. Cow genotype affects feed efficiency and maternal productivity. Animal Production Science
Divergent breeding values for fatness or residual feed intake in Angus cattle. 5. Cow genotype affects feed efficiency and maternal productivity.Crossref | GoogleScholarGoogle Scholar |

Herd RM, Pitchford WS (2011) Residual feed intake selection makes cattle leaner and more efficient. Recent Advances in Animal Nutrition 18, 45–58.

Houghton PL, Lemenager RP, Hendrix KS, Moss GE, Stewart TS (1990) Effects of body composition, pre- and postpartum energy intake and stage of production of energy utilization by beef cows. Journal of Animal Science 68, 1447–1456.

Houseknecht KL, Portocarrero CP (1998) Leptin and its receptors: regulators of whole-body energy homeostasis. Domestic Animal Endocrinology 15, 457–475.
Leptin and its receptors: regulators of whole-body energy homeostasis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1MXhslGhsQ%3D%3D&md5=9c4d29f07d06ba07ad79507dbc0ca7f5CAS | 9861538PubMed |

Jones FM, Accioly JM, Copping KJ, Deland MPB, Graham JF, Hebart ML, Herd RM, Laurence M, Lee SJ, Speijers EJ, Pitchford WS (2016) Divergent breeding values for fatness or residual feed intake in Angus cattle. 1. Pregnancy rates of heifers differed between fat lines and were more affected by weight and fat. Animal Production Science
Divergent breeding values for fatness or residual feed intake in Angus cattle. 1. Pregnancy rates of heifers differed between fat lines and were more affected by weight and fat.Crossref | GoogleScholarGoogle Scholar |

Keenan (2013) Available at http://www.keenan.com.au/ [Verified 17 January 2013]

Lalman DL, Keisler DH, Williams JE, Scholljegerdes EJ, Mallet DH (1997) Influence of postpartum weight and body condition change on duration of anestrus by undernourished suckled beef heifers. Journal of Animal Science 75, 2003–2008.

Laurence M, Accioly JM, Copping KJ, Deland MPB, Graham JF, Hebart ML, Herd RM, Jones FM, Lee SJ, Speijers EJ, Pitchford WS (2016) Divergent genotypes for fatness or residual feed intake in Angus cattle. 2. Body composition but not reproduction was affected in first-parity cows on both low and high levels of nutrition. Animal Production Science
Divergent genotypes for fatness or residual feed intake in Angus cattle. 2. Body composition but not reproduction was affected in first-parity cows on both low and high levels of nutrition.Crossref | GoogleScholarGoogle Scholar |

Lee SJ, Nuberg IK, Pitchford WS (2016) Maternal body composition in Australian seedstock herds. 1. Grazing management strategy influences perspectives on optimal balance of production traits and maternal productivity. Animal Production Science
Maternal body composition in Australian seedstock herds. 1. Grazing management strategy influences perspectives on optimal balance of production traits and maternal productivity.Crossref | GoogleScholarGoogle Scholar |

Lines DS, Pitchford WS, Bottema CDK, Herd RM, Oddy VH (2014) Selection for residual feed intake affects appetite and body composition rather than energetic efficiency. Animal Production Science
Selection for residual feed intake affects appetite and body composition rather than energetic efficiency.Crossref | GoogleScholarGoogle Scholar |

Morrison DG, Spitzer JC, Perkins JL (1999) Influence of prepartum body condition score change on reproduction in multiparous beef cows calving in moderate body condition. Journal of Animal Science 77, 1048–1054.

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 (2016) Genesis, design and methods of the Beef CRC Maternal Productivity Project. Animal Production Science
Genesis, design and methods of the Beef CRC Maternal Productivity Project.Crossref | GoogleScholarGoogle Scholar | in press.

Rae DO, Kunkle WE, Chenoweth PJ, Sand RS, Tran T (1993) Relationship of parity and body condition score to pregnancy rates in Florida beef cattle. Theriogenology 39, 1143–1152.
Relationship of parity and body condition score to pregnancy rates in Florida beef cattle.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD28zgtVSntg%3D%3D&md5=cfd52660c11ed7b68fe70b285e6d3c98CAS | 16727283PubMed |

Renquist BJ, Oltjen JW, Sainz RD, Calvert CC (2006) Effects of age on body condition and production parameters of multiparous beef cows. Journal of Animal Science 84, 1890–1895.
Effects of age on body condition and production parameters of multiparous beef cows.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xmt1aqtL8%3D&md5=82f843866c82204f227bbf64cabe3865CAS | 16775073PubMed |

Ritchie HD (2001) The optimum cow – what criteria must she meet? Presented at Beef Improvement Federation annual conference, 31 May—3 June 1995, Sheridan, WY. Revised August 2001. Available at https://www.msu.edu/~ritchieh/papers/optimumcow.html [Verified 26 September 2013]

Smart WL, Della Bosca TJ, McIntyre BL, Read D, Tudor GD (2004) Optimising feed supply, reproductive efficiency and progeny growth to meet market specifications. 3. Efficient use of pasture. Animal Production in Australia 25, 316

Spitzer JC, Morrison DG, Wettemann RP, Faulkner LC (1995) Reproductive responses and calf birth and weaning weights as affected by body condition at parturition and postpartum weight gain in primiparous beef cows. Journal of Animal Science 73, 1251–1257.

Turner NC (2004) Sustainable production of crops and pastures under drought in a Mediterranean environment. Annals of Applied Biology 144, 139–147.
Sustainable production of crops and pastures under drought in a Mediterranean environment.Crossref | GoogleScholarGoogle Scholar |

Verbyla AP, Cullis BR, Kenward MG, Welham SJ (1999) The analysis of designed experiments and longitudinal data by using smoothing splines. Journal of the Royal Statistical Society. Series C. Applied Statistics 48, 269–311.
The analysis of designed experiments and longitudinal data by using smoothing splines.Crossref | GoogleScholarGoogle Scholar |

Walkom SF, Brien FD, Hebart ML, Fogarty NM, Hatcher S, Pitchford WS (2014) Season and reproductive status rather than genetic factors influence change in ewe weight and fat over time. 2. Spline analysis of crossbred ewes. Animal Production Science
Season and reproductive status rather than genetic factors influence change in ewe weight and fat over time. 2. Spline analysis of crossbred ewes.Crossref | GoogleScholarGoogle Scholar |

Walmsley BJ, Lee SJ, Parnell PF, Pitchford WS (2016) A review of factors influencing key biological components of maternal productivity in temperate beef cattle. Animal Production Science
A review of factors influencing key biological components of maternal productivity in temperate beef cattle.Crossref | GoogleScholarGoogle Scholar |