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

Whole-body fatness is a good predictor of phenotypic feed and liveweight efficiency in adult Merino ewes fed a poor-quality diet

S. E. Blumer A B D , G. E. Gardner A B , M. B. Ferguson C and A. N. Thompson A B
+ Author Affiliations
- Author Affiliations

A CRC for Sheep Industry Innovation, Homestead Building, UNE, Armidale, NSW 2351, Australia.

B School of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia.

C Present address: The New Zealand Merino Company Ltd, PO Box 25160, Christchurch 8024, New Zealand.

D Corresponding author. Email: s.blumer@murdoch.edu.au

Animal Production Science 56(4) 789-796 https://doi.org/10.1071/AN15217
Submitted: 28 April 2015  Accepted: 11 February 2016   Published: 4 March 2016

Abstract

Weight loss due to poor nutrition in adult ewes over summer–autumn is economically expensive due to immediate costs such as feed and labour but also due to ongoing costs to reproductive success and ewe health. We predicted that adult Merino ewes with a higher proportion of fat would be more efficient, both through lower intake and reduced weight loss. Four-year-old Merino ewes (n = 64) were held in single pens and fed a chaff-based diet either ad libitum, with the aim of achieving liveweight maintenance, or a restricted amount to achieve liveweight loss of 100 g/day. Liveweight change and feed intake were measured, and residual liveweight change and residual feed intake were used to indicate efficiency. There was a difference of 2 MJ of metabolisable energy per day between the most efficient and least efficient ewes for residual feed intake, and a difference of 90 g per day between the most efficient and least efficient ewes for residual liveweight change. There was a significant association between blood plasma concentrations of leptin and both liveweight and feed efficiency, so that ewes with high concentrations of leptin had a lower daily intake, and/or lost less weight than did those with low concentrations of leptin. Managing adult Merino ewes to maximise fat-tissue accretion during spring via genetics and/or nutritional management could be a useful strategy to reduce feed requirements during summer–autumn because the ewes will be more efficient and have larger fat reserves to lose before achieving a lower critical limit.

Additional keywords: composition, intake, leptin, nutrition, resilience.


References

Ahima RS, Saper CB, Flier JS, Elmquist JK (2000) Leptin regulation of neuroendocrine systems. Frontiers in Neuroendocrinology 21, 263–307.
Leptin regulation of neuroendocrine systems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXksFeqsb8%3D&md5=0f858529d7cb4da65a8f757a2510ee93CAS | 10882542PubMed |

Archer J, Reverter A, Herd R, Johnston D, Arthur P (2002) Genetic variation in feed intake and efficiency of mature beef cows and relationships with postweaning measurements. World Congress on Genetics Applied to Livestock Production 31, 221–224.

Arthur P, Herd R, Wright J, Xu G, Dibley K, Richardson E (1996) Net feed conversion efficiency and its relationship with other traits in beef cattle. Proceedings: Australian Society of Animal Production 21, 107–110.

Arthur PF, Archer JA, Johnston DJ, Herd RM, Richardson EC, Parnell PF (2001) Genetic and phenotypic variance and covariance components for feed intake, feed efficiency, and other postweaning traits in Angus cattle. Journal of Animal Science 79, 2805–2811.

Ball A, Thompson J (1995) The effect of selection for differences in ultrasonic backfat depth on the feed utilisation for maintenance and biological efficiency in sheep. Proceedings of the Australian Association of Animal Breeding and Genetics. 11, 403–417.

Basarab J, Price M, Aalhus J, Okine E, Snelling W, Lyle K (2003) Residual feed intake and body composition in young growing cattle. Canadian Journal of Animal Science 83, 189–204.
Residual feed intake and body composition in young growing cattle.Crossref | GoogleScholarGoogle Scholar |

Behrendt R, van Burgel A, Bailey A, Barber P, Curnow M, Gordon D, Edwards JH, Oldham C, Thompson A (2011) On-farm paddock-scale comparisons across southern Australia confirm that increasing the nutrition of Merino ewes improves their production and the lifetime performance of their progeny. Animal Production Science 51, 805–812.
On-farm paddock-scale comparisons across southern Australia confirm that increasing the nutrition of Merino ewes improves their production and the lifetime performance of their progeny.Crossref | GoogleScholarGoogle Scholar |

Blache D, Tellam RL, Chagas LM, Blackberry MA, Vercoe PE, Martin GB (2000) Level of nutrition affects leptin concentrations in plasma and cerebrospinal fluid in sheep. The Journal of Endocrinology 165, 625–637.
Level of nutrition affects leptin concentrations in plasma and cerebrospinal fluid in sheep.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXktl2qtrw%3D&md5=0e025858bed0fdca96fc4a8576ff1b3dCAS | 10828846PubMed |

Blumer SE, Gardner GE, Ferguson MB, Thompson AN (2016) Environmental and genetic factors influence the liveweight of adult Merino and Border Leicester × Merino ewes across multiple sites and years. Animal Production Science 56, 775–788.
Environmental and genetic factors influence the liveweight of adult Merino and Border Leicester × Merino ewes across multiple sites and years.Crossref | GoogleScholarGoogle Scholar |

Bocquier F, Atti N, Purroy A, Chilliard Y (2000) The role of body reserves in the metabolic adaptation of different breeds of sheep to food shortage. In ‘Livestock Production and Climatic Uncertainty in the Mediterranean’. (Eds F Guessous, N Rihani, A Llham) pp. 75–93. (Wageningen Academic Publishers: Wageningen, The Netherlands)

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 |

Curtis K (2009) Wool desk report – June 2009. DAFWA, Issue 11.

Delavaud C, Bocquier F, Chilliard Y, Keisler D, Gertler A, Kann G (2000) Plasma leptin determination in ruminants: effect of nutritional status and body fatness on plasma leptin concentration assessed by a specific RIA in sheep. The Journal of Endocrinology 165, 519–526.
Plasma leptin determination in ruminants: effect of nutritional status and body fatness on plasma leptin concentration assessed by a specific RIA in sheep.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXjvFegtb4%3D&md5=6a13451e0fa7bf74040a12d3e5827846CAS | 10810316PubMed |

Edwards JH, Copping K, Thompson A (2011) Managing the nutrition of twin-bearing ewes during pregnancy using Lifetimewool recommendations increases production of twin lambs. Animal Production Science 51, 813–820.
Managing the nutrition of twin-bearing ewes during pregnancy using Lifetimewool recommendations increases production of twin lambs.Crossref | GoogleScholarGoogle Scholar |

Fogarty NM, Banks RG, van der Werf JHJ, Ball AJ, Gibson JP (2007) The information nucleus-a new concept to enhance sheep industry genetic improvement. Proceedings for the Advancement of Animal Breeding and Genetics 17, 29–32.

Freer M, Moore AD, Donnelly JR (1997) GRAZPLAN: Decision support systems for Australian grazing enterprises. 2. The animal biology model for feed intake, production and reproduction and the GrazFeed DSS. Agricultural Systems 54, 77–126.
GRAZPLAN: Decision support systems for Australian grazing enterprises. 2. The animal biology model for feed intake, production and reproduction and the GrazFeed DSS.Crossref | GoogleScholarGoogle Scholar |

Gilmour AR, Luff AF, Fogarty NM, Banks R (1994) Genetic parameters for ultrasound fat depth and eye muscle measurements in live Poll Dorset sheep. Australian Journal of Agricultural Research 45, 1281–1291.
Genetic parameters for ultrasound fat depth and eye muscle measurements in live Poll Dorset sheep.Crossref | GoogleScholarGoogle Scholar |

Graham N (1980) Variation in energy and nitrogen utilization by sheep between weaning and maturity. Australian Journal of Agricultural Research 31, 335–345.
Variation in energy and nitrogen utilization by sheep between weaning and maturity.Crossref | GoogleScholarGoogle Scholar |

Greeff J, Davidson R, Skerritt J (2003) Genetic relationship between carcass quality and wool production traits in Australian Merino rams. Proceedings for the Association for the Advancement of Animal Breeding and Genetics 15, 330–333.

Herd RM, Bishop SC (2000) Genetic variation in residual feed intake and its association with other production traits in British Hereford cattle. Livestock Production Science 63, 111–119.
Genetic variation in residual feed intake and its association with other production traits in British Hereford cattle.Crossref | GoogleScholarGoogle Scholar |

Hopkins DL, Stanley DF, Martin LC, Ponnampalam EN, van de Ven R (2007) Sire and growth path effects on sheep meat production 1. Growth and carcass characteristics. Australian Journal of Experimental Agriculture 47, 1208–1218.
Sire and growth path effects on sheep meat production 1. Growth and carcass characteristics.Crossref | GoogleScholarGoogle Scholar |

Jefferies B (1961) Body condition scoring and its use in management. Tasmanian Journal of Agriculture 32, 19–21.

Kelly R (1992) Lamb mortality and growth to weaning in commercial Merino flocks in Western Australia. Australian Journal of Agricultural Research 43, 1399–1416.
Lamb mortality and growth to weaning in commercial Merino flocks in Western Australia.Crossref | GoogleScholarGoogle Scholar |

Kelly AK, McGee M, Crews DH, Fahey AG, Wylie AR, Kenny DA (2010) Effect of divergence in residual feed intake on feeding behavior, blood metabolic variables, and body composition traits in growing beef heifers. Journal of Animal Science 88, 109–123.
Effect of divergence in residual feed intake on feeding behavior, blood metabolic variables, and body composition traits in growing beef heifers.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXls1yktQ%3D%3D&md5=5e5774a2c01647123812858bc8438104CAS | 19820067PubMed |

Knott S, Dunshea F, Leury B, Brien F, Suster D, Cummins L (2004) Body composition influences net feed intake in terminal sire rams. Science Access 1, 274

Knott SA, Cummins LJ, Dunshea FR, Leury BJ (2008) The use of different models for the estimation of residual feed intake (RFI) as a measure of feed efficiency in meat sheep. Animal Feed Science and Technology 143, 242–255.
The use of different models for the estimation of residual feed intake (RFI) as a measure of feed efficiency in meat sheep.Crossref | GoogleScholarGoogle Scholar |

Koch RM, Swiger L, Chambers D, Gregory K (1963) Efficiency of feed use in beef cattle. Journal of Animal Science 22, 486–494.

Little DA, Sandland RL (1975) Studies on distribution of body fat in sheep during continuous growth, and following nutritional restriction and rehabilitation. Australian Journal of Agricultural Research 26, 363–374.
Studies on distribution of body fat in sheep during continuous growth, and following nutritional restriction and rehabilitation.Crossref | GoogleScholarGoogle Scholar |

Nielsen MK, Freking B, Jones L, Nelson S, Vorderstrasse T, Hussey B (1997) Divergent selection for heat loss in mice: II. Correlated responses in feed intake, body mass, body composition, and number born through fifteen generations. Journal of Animal Science 75, 1469–1476.

Oldham CM, Thompson AN, Ferguson MB, Gordon DJ, Kearney GA, Paganoni BL (2011) The birthweight and survival of Merino lambs can be predicted from the profile of liveweight change of their mothers during pregnancy. Animal Production Science 51, 776–783.
The birthweight and survival of Merino lambs can be predicted from the profile of liveweight change of their mothers during pregnancy.Crossref | GoogleScholarGoogle Scholar |

Osuji P (1974) The physiology of eating and the energy expenditure of the ruminant at pasture. Journal of Range Management 27, 437–443.
The physiology of eating and the energy expenditure of the ruminant at pasture.Crossref | GoogleScholarGoogle Scholar |

Richardson EC, Herd RM (2004) Biological basis for variation in residual feed intake in beef cattle. 2. Synthesis of results following divergent selection. Australian Journal of Experimental Agriculture 44, 431–440.
Biological basis for variation in residual feed intake in beef cattle. 2. Synthesis of results following divergent selection.Crossref | GoogleScholarGoogle Scholar |

Rose G, Kause A, Mulder HA, van der Werf JHJ, Thompson AN, Ferguson MB, van Arendonk JAM (2013) Merino ewes can be bred for body weight change to be more tolerant to uncertain feed supply. Journal of Animal Science 91, 2555–2565.
Merino ewes can be bred for body weight change to be more tolerant to uncertain feed supply.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXpvFCrs7o%3D&md5=0a8899f22528efbc96b4dc00b90d9816CAS | 23508033PubMed |

Roux CZ (2013) Use of theoretical efficiencies of protein and fat synthesis to calculate energy requirements for growth in ruminants. South African Journal of Animal Science 43, 435–456.
Use of theoretical efficiencies of protein and fat synthesis to calculate energy requirements for growth in ruminants.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXnsFWiu7w%3D&md5=734124bc83d608536143835b5d7a1488CAS |

SAS (2002) ‘SAS software. Version 9 of the SAS system for Windows.’ (SAS Institute: Cary, NC)

Stratakis CA, Chrousos GP (1995) Neuroendocrinology and pathophysiology of the stress system. Annals of the New York Academy of Sciences 771, 1–18.
Neuroendocrinology and pathophysiology of the stress system.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK28XitlKnurk%3D&md5=88cb82bf7fe227287ccd3363c9ff60a9CAS | 8597390PubMed |

Thompson AN (2006) ‘Poor ewe nutrition during pregnancy increases fatness of their progeny.’ (Department of Agriculture and Food Western Australia: Perth, WA)

van der Werf JHJ, Kinghorn BP, Banks RG (2010) Design and role of an information nucleus in sheep breeding programs. Animal Production Science 50, 998–1003.
Design and role of an information nucleus in sheep breeding programs.Crossref | GoogleScholarGoogle Scholar |

Walkom S, Brien F, Hebart M, Fogarty N, Hatcher S, Pitchford W (2014) Season and reproductive status rather than genetics factors influence change in ewe weight and fat over time. 1. Analysis of crossbred ewes. Animal Production Science 54, 802–813.
Season and reproductive status rather than genetics factors influence change in ewe weight and fat over time. 1. Analysis of crossbred ewes.Crossref | GoogleScholarGoogle Scholar |

Young JM, Ferguson MB, Thompson AN (2011) The potential value of genetic differences in liveweight loss during summer and autumn in Merinos ewes differs with production environment. Proceedings for the Advancement of Animal Breeding and Genetics 19, 307–310.