Calculating dry matter consumption of dairy herds in Australia: the need to fully account for energy requirements and issues with estimating energy supply
J. W. Heard A F , P. T. Doyle B , S. A. Francis C , M. v. H. Staines D and W. J. Wales EA Department of Primary Industries – Hamilton, Mt Napier Road, Hamilton, Vic. 3300, Australia.
B Peter Doyle Consulting, 4 Red Bean Close, Suffolk Park, NSW 2481, Australia.
C 255 McIsaac Road, Ardmona, Vic. 3629, Australia.
D Department of Agriculture and Food, 4703 Jalbarragup Road, Busselton, WA 6280, Australia.
E Department of Primary Industries – Ellinbank, 1301 Hazeldean Road, Ellinbank, Vic. 3820, Australia.
F Corresponding author. Email: janna.heard@dpi.vic.gov.au
Animal Production Science 51(7) 605-614 https://doi.org/10.1071/AN10079
Submitted: 19 May 2010 Accepted: 16 April 2011 Published: 27 June 2011
Abstract
Feed costs are the major component of the variable costs and a significant component of the total costs of milk production on Australian dairy farms. To improve farm productivity, farmers need to understand how much feed is being consumed and the nutritive characteristics of the diet. This paper reviews an existing simple approach, the ‘Target 10’ approach, which is commonly used by the dairy industry in Victoria to estimate annual forage consumption. An alternative approach – the ‘Feeding Systems’ approach – is then introduced. The ‘Feeding Systems’ approach is compared with estimated forage consumption measured under experimental conditions. An analysis of the sensitivity of both approaches to incremental changes in key variables is presented. The ‘Feeding Standards’ approach was concordant with estimated forage consumption measured under experimental conditions. Sensitivity analysis has highlighted key variables which may have considerable influence over simulated forage consumption using this approach. Given that none of the key variables tested in this analysis can be varied in the ‘Target 10’ approach, we feel confident that the ‘Feeding Standards’ approach provides an improved method of back-calculating annual on-farm forage consumption. Using a robust approach to calculate forage consumption which fully accounts for metabolisable energy requirements is important where farmers are using home-grown forage consumption as an indicator of farm feeding system performance. It is also important to understand the assumptions involved in estimating metabolisable energy supply from either supplements or forage.
Additional keywords: back calculation, forage, forage consumption.
References
AFRC (1993) ‘Energy and protein requirements of ruminants: an advisory manual prepared by the AFRC Technical Committee on responses to nutrients.’ (CAB International: Wallingford)Anon. (1989) ‘Operation mid lactation: farmer manual.’ (Northern Victorian Committee for Dairy Industry Development: Echuca, Vic.)
ARC (1965) ‘The nutrient requirements of farm livestock. No. 2. Ruminants.’ (Agricultural Research Council: London)
ARC (1980) ‘The nutrient requirements of ruminant livestock.’ (Commonwealth Agricultural Bureaux: Farnham Royal)
Bargo F, Muller LD, Varga GA, Delahoy JE, Cassidy TW (2002) Ruminal digestion and fermentation of high-producing dairy cows with three different feeding systems combining pasture and total mixed rations. Journal of Dairy Science 85, 2964–2973.
| Ruminal digestion and fermentation of high-producing dairy cows with three different feeding systems combining pasture and total mixed rations.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38Xptlagt78%3D&md5=5f3ef391ee62fde8ec8cd9ab57a999cbCAS | 12487462PubMed |
Beever DE, Doyle PT (2007) Feed conversion efficiency as a key determinant of dairy herd performance: a review. Australian Journal of Experimental Agriculture 47, 645–657.
| Feed conversion efficiency as a key determinant of dairy herd performance: a review.Crossref | GoogleScholarGoogle Scholar |
Boomsma J (1996) ‘Target 10: the first three years.’ (Agriculture Victoria: Ellinbank, Vic.)
Butler-Hogg BW, Wood JD, Bines JA (1985) Fat partitioning in British Friesian cows: the influence of physiological state on dissected body composition. Journal of Agricultural Science 104, 519–528.
| Fat partitioning in British Friesian cows: the influence of physiological state on dissected body composition.Crossref | GoogleScholarGoogle Scholar |
Chapman DF, Kenny SN, Beca D, Johnson IR (2008) Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance. Agricultural Systems 97, 108–125.
| Pasture and forage crop systems for non-irrigated dairy farms in southern Australia. 1. Physical production and economic performance.Crossref | GoogleScholarGoogle Scholar |
Clarke T, Flinn PC, McGowan AA (1982) Low cost pepsin-cellulase assays for prediction of digestibility of herbage. Grass and Forage Science 37, 147–150.
| Low cost pepsin-cellulase assays for prediction of digestibility of herbage.Crossref | GoogleScholarGoogle Scholar |
CSIRO (2007) ‘Nutrient requirements of domesticated ruminants.’ (CSIRO Publishing: Melbourne)
Dairy Australia (2010) Australian Dairy Industry in Focus 2009. Available at http://www.dairyaustralia.com.au/~/media/Publications/Australian%20Dairy%20Industry%20in%20Focus/2009/Australian%20Dairy%20Industry%20In%20Focus%202009.ashx [Verified 8 September 2010]
Dalley DE, Roche JR, Moate PJ, Grainger C (2001) More frequent allocation of herbage does not improve the milk production of dairy cows in early lactation. Australian Journal of Experimental Agriculture 41, 593–599.
| More frequent allocation of herbage does not improve the milk production of dairy cows in early lactation.Crossref | GoogleScholarGoogle Scholar |
Doyle PT, Stockdale CR, Lawson AR, Cohen DC (2000) ‘Pastures for dairy production in Victoria.’ (Department of Natural Resources and Environment. Rodney Printers: Tatura, Vic.)
Doyle PT, Francis SA, Stockdale CR (2005) Associative effects between feeds when concentrate supplements are fed to grazing dairy cows: a review of likely impacts on metabolisable energy supply. Australian Journal of Agricultural Research 56, 1315–1329.
| Associative effects between feeds when concentrate supplements are fed to grazing dairy cows: a review of likely impacts on metabolisable energy supply.Crossref | GoogleScholarGoogle Scholar |
Earle DF (1976) A guide to scoring dairy cow condition. Journal of Agriculture (Victoria) 74, 228–231.
Earle DF, McGowan AA (1979) Evaluation and calibration of a rising plate meter for estimating pasture dry matter yield. Australian Journal of Experimental Agriculture and Animal Husbandry 21, 167–171.
Heard JW, Cohen DC, Doyle PT, Wales WJ, Stockdale CR (2004) Diet Check – a tactical decision support tool for feeding decisions with grazing dairy cows. Animal Feed Science and Technology 112, 177–194.
| Diet Check – a tactical decision support tool for feeding decisions with grazing dairy cows.Crossref | GoogleScholarGoogle Scholar |
Huhtanen P (1991) Associative effects of feeds in ruminants. Norwegian Journal of Agricultural Sciences 5, 37–57.
INRA (1978) ‘Alimentation des Ruminants.’ (Ed. R Jarrige) (INRA Publications: Versailles)
King KR, Stockdale CR (1980) The effects of stocking rate and nitrogen fertilizer on the productivity of irrigated perennial pasture grazed by dairy cows. 2. Animal production. Australian Journal of Experimental Agriculture and Animal Husbandry 20, 537–542.
| The effects of stocking rate and nitrogen fertilizer on the productivity of irrigated perennial pasture grazed by dairy cows. 2. Animal production.Crossref | GoogleScholarGoogle Scholar |
Leddin CM (2010) Efficiency of grain supplements in pasture-based dairy production systems. MSc Thesis, University of Melbourne.
Leddin CM, Stockdale CR, Hill J, Heard JW, Doyle PT (2009) Increasing amounts of crushed wheat fed with pasture hay reduced dietary fiber digestibility in lactating dairy cows. Journal of Dairy Science 92, 2747–2757.
| Increasing amounts of crushed wheat fed with pasture hay reduced dietary fiber digestibility in lactating dairy cows.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXmsFems7w%3D&md5=d834bc16bdde5343cc81af153a6c222dCAS | 19448009PubMed |
Lin LI (1989) A concordance correlation coefficient to evaluate reproducibility. Biometrics 45, 255–268.
| A concordance correlation coefficient to evaluate reproducibility.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaL1M3kslKrtg%3D%3D&md5=bbf58f4b37a24caea8b379a3479b3d06CAS | 2720055PubMed |
Lin LI (1992) Assay validation using the Concordance Correlation Coefficient. Biometrics 48, 599–604.
| Assay validation using the Concordance Correlation Coefficient.Crossref | GoogleScholarGoogle Scholar |
Macoon B, Sollenberger LE, Moore JE, Staples CR, Fike JH, Portier KM (2003) Comparison of three techniques for estimating the forage intake of lactating dairy cows on pasture. Journal of Animal Science 81, 2357–2366.
MAFF (1975) Energy allowances and feeding systems for ruminants. United Kingdom Ministry of Agriculture, Fisheries and Food. Technical Bulletin No. 33. HMSO, London.
Mould FL, Ørskov ER, Mann SO (1983) Associative effects of mixed feeds. I. Effects of type and level of supplementation and the influence of the rumen fluid pH on cellulolysis in vivo and dry matter digestion of various roughages. Animal Feed Science and Technology 10, 15–30.
| Associative effects of mixed feeds. I. Effects of type and level of supplementation and the influence of the rumen fluid pH on cellulolysis in vivo and dry matter digestion of various roughages.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaL2cXhtlOrtrs%3D&md5=416c88cb8c30f58d1431887ef35811d2CAS |
NRC (2001) ‘Nutrient requirements of dairy cattle.’ 7th revised edn. (National Research Council, National Academy Press: Washington, DC)
Pitt RE, van Kessel JS, Fox DG, Pell AN, Barry MC, Van Soest PJ (1996) Prediction of ruminal volatile fatty acids and pH within the net carbohydrate and protein system. Journal of Animal Science 74, 226–244.
Reeves M, Fulkerson WJ, Kellaway RC, Dove H (1996) A comparison of three techniques to determine the herbage intake of dairy cows grazing kikuyu (Pennisetum clandestinum) pasture. Australian Journal of Experimental Agriculture 36, 23–30.
| A comparison of three techniques to determine the herbage intake of dairy cows grazing kikuyu (Pennisetum clandestinum) pasture.Crossref | GoogleScholarGoogle Scholar |
SCA (1990) Feeding standards for Australian livestock. Ruminants. Report for the Standing Committee on Agriculture. CSIRO, Melbourne.
Stockdale CR (1999) Effect of length of the period of supplementation with concentrates on pasture intake and performance of grazing dairy cows. Australian Journal of Experimental Agriculture 39, 803–809.
| Effect of length of the period of supplementation with concentrates on pasture intake and performance of grazing dairy cows.Crossref | GoogleScholarGoogle Scholar |
Stockdale CR (2000) Differences in body condition and body size affect the responses of grazing dairy cows to high-energy supplements in early lactation. Australian Journal of Experimental Agriculture 40, 903–911.
| Differences in body condition and body size affect the responses of grazing dairy cows to high-energy supplements in early lactation.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXptVWqtL4%3D&md5=3656b2a58e8d9b2cf28db3aa4f447044CAS |
Stockdale CR (2010) Wastage of conserved fodder when feeding livestock. Animal Production Science 50, 400–404.
| Wastage of conserved fodder when feeding livestock.Crossref | GoogleScholarGoogle Scholar |
Stockdale CR, King KRO (1983) A comparison of two techniques used to estimate the herbage intake of lactating dairy cows in a grazing experiment in Australia. The Journal of Agricultural Science 100, 227–230.
| A comparison of two techniques used to estimate the herbage intake of lactating dairy cows in a grazing experiment in Australia.Crossref | GoogleScholarGoogle Scholar |
Wales WJ, Doyle PT, Dellow DW (1998) Dry matter intake and nutrient selection by lactating cows grazing irrigated pasture at different pasture allowances in summer and autumn. Australian Journal of Experimental Agriculture 38, 451–460.
| Dry matter intake and nutrient selection by lactating cows grazing irrigated pasture at different pasture allowances in summer and autumn.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1cXms1OjtLk%3D&md5=52a0b14d21199c07f11b7e02483c673fCAS |
Weiss WP (1999) Energy prediction equations for ruminant feeds. In ‘Proceedings of 61st Cornell nutrition conference for feed manufacturers, Rochester, NY’. pp. 176–185. (New York State College of Agriculture and Life Sciences: Ithaca, NY)
Williams YJ, Wales WJ, Doyle PT, Heard JW (2002) Dry matter intake of dairy cows grazing irrigated perennial pastures estimated by three methods. Animal Production in Australia 24, 265–268.