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Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Use of supplements and variation in the stocking rate in cow–calf systems on temperate pastures in Chile: a simulation approach

A. R. Catrileo A C , P. M. Toro B , C. D. Aguilar B and R. Vera B
+ Author Affiliations
- Author Affiliations

A Instituto de Investigaciones Agropecuarias, PO Box 58-D, Temuco, Chile.

B Pontificia Universidad Católica de Chile, Departamento de Ciencias Animales, Facultad de Agronomía e Ingeniería Forestal, Av. V. Mackenna 4860, Santiago, Chile.

C Corresponding author. Email: acatrile@inia.cl

Animal Production Science 49(12) 1059-1067 https://doi.org/10.1071/EA08113
Submitted: 4 April 2008  Accepted: 22 July 2009   Published: 16 November 2009

Abstract

A simulation model was developed to evaluate the productive and economic effect of the variation in feed practices and stocking rate of a cow–calf system in Chile. Winter supplementation at grazing, stocking rate and economic aspects of the system were analysed. The supplementation of straw v. pasture hay at two different stocking rates was evaluated in the temperate pasture zone in La Araucania, Chile. Data were simulated using a decision support tool to help analyse the system. Simulations with the model involved 20 replicates of a factorial combination of two stocking rates (1.0 and 1.4 cows/ha) with differences in the initial weight (‘light’ v. ‘heavy’ with weights of heifers, primiparous and multiparous cows being 340 v. 380, 400 v. 450 and 440 v. 480 kg, respectively), at the same grazing pressure (kg liveweight/ha), two winter supplements (oat straw v. pasture hay) and two levels (6 v. 8 kg straw, and 5.1 v. 6.8 pasture hay). The model was validated with data collected from an experiment conducted with permanent pastures and a beef cattle cow–calf system from 1984 to 1989. The results indicate that there was a significant (P < 0.01) effect of a cow’s weight on the calves at 180 days, and on their reproductive performance, with the heavier cows increasing their calving rate by 20% relative to the lighter group. The stocking rate and the type and amount of supplement, however, did not influence (P > 0.05) the weight of female and male calves at the time of sale. Finally, supplementation with pasture hay, as opposed to oat straw, incurred a larger (P < 0.01) mean cost at an equivalent level of provision of metabolisable energy. Although difficult to analyse under real conditions, the economic and productive benefits of various feed practices and stocking rates were successfully evaluated in the present study using simulation tools.

Additional keywords: beef cattle, simulation models, winter supplementation.


Acknowledgements

This work was funded by Fondo Nacional de Desarrollo Científico y Tecnológico-FONDECYT 1050740 Grant. We are grateful to Mr I. Peña, from the Agronomy and Forestry Faculty, P.U. Católica de Chile, for his statistical advice and support.


References


AFRC (1993) ‘Energy and protein requirement of ruminants.’ (CAB International: Wallingford, UK)

Aguilar C (1997) ‘Simulación de sistemas. Aplicaciones en producción animal. Colección en Agricultura.’ (P. Universidad Católica de Chile: Santiago, Chile)

Aguilar C , Allende R , Morales S (2003) (Eds) ‘Gestión de sistemas pecuarios. Modelos para evaluar alternativas tecnológicas y creación de valor en la empresa pecuaria.’ (Colección en Agricultura. P. Universidad Católica de Chile: Santiago, Chile)

Aguilar C, Vera R, Allende R, Toro P (2006) Supplementation, stocking rates, and economic performance of lamb production systems in the mediterranean-type region of Chile. Small Ruminant Research 66, 108–115.
Crossref | GoogleScholarGoogle Scholar | open url image1

Alcock DJ (2006) Using grazing systems modelling to assess economic, production and environmental risks to aid in selecting appropriate stocking rates. Australian Journal of Experimental Agriculture 46, 841–844.
Crossref | GoogleScholarGoogle Scholar | open url image1

Anderson P , Meiske R (1991) Managing beef cow condition scores through feeding. Issue 16, January. University of Minnesota, St Paul. Extension Service. Department of Animal Science, USA.

ARC (1980) ‘The nutrient requirements of ruminant livestock.’ (Agricultural Research Council: London)

Buskirk D, Lemenager R, Horstmant L (1992) Estimation of net energy requirements (NEm and NEA) of lactating beef cows. Journal of Animal Science 70, 3867–3876. open url image1

Clark SG, Donnelly JR, Moore AD (2000) The GrassGro decision support tool: its effectiveness in simulating pasture and animal production and value in determining research priorities. Australian Journal of Experimental Agriculture 40, 247–256.
Crossref | GoogleScholarGoogle Scholar | open url image1

CSIRO (1990) ‘Feeding standards for Australian livestock. Ruminants.’ (CSIRO Publishing: Melbourne)

Da Cunda S (1997) Modelo de simulación para la gestión estratégica de sistemas de producción de carne bovina, de la región de Basalto, Uruguay. MSc Thesis, Pontificia Universidad Católica de Chile, Santiago, Chile.

Dart J (2005) Evaluation for farming systems improvement: looking backwards, thinking forwards. Australian Journal of Experimental Agriculture 45, 627–633.
Crossref | GoogleScholarGoogle Scholar | open url image1

Delaby L, Peyraud JL, Delagarde R (2001) Effect of the level of concentrate supplementation, herbage allowance and milk yield at turn-out on the performance of dairy cows in mid lactation at grazing. Animal Science (Penicuik, Scotland) 73, 171–181. open url image1

Field GT (2007) Reproduction. In ‘Beef production and management decisions’. 5th edn. (Ed. GT Field) pp. 331–378. (Prentice Hall: Upper Saddle River, NJ)

Hady PJ, Lloyd JW, Kaneene JB, Skidmore AL (1994) Partial budget model for reproductive programs of dairy farm businesses. Journal of Dairy Science 77, 482–491. open url image1

Halvorson M (2003) ‘Getting started with Microsoft Visual Basic. NET.’ (McGraw Hill/Interamericana de España: Madrid)

Hoover SV , Perry RF (1989) ‘Simulation. A problem-solving approach.’ (Addison-Wesley Publishing Co.: Reading, UK)

Johnson IR, Lodge GM, White RE (2003) The sustainable grazing system pasture model: description, philosophy and application to the SGS national experiment. Australian Journal of Experimental Agriculture 43, 711–728.
Crossref | GoogleScholarGoogle Scholar | open url image1

Kingwell RS , Pannell DJ (1987) ‘MIDAS, bioeconomic model of a dryland farm system.’ (Pudoc: Wageningen, Germany)

Klee GG (1996) La pradera en los sistemas de producción de carne bovina. In ‘Praderas para Chile. Ministerio de Agricultura’. (Ed. I Ruiz) pp. 680–696. (Instituto de Investigaciones Agropecuarias: Santiago, Chile)

MacLeod ND, Ash AJ, McIvor JG (2004) An economic assessment of the impact of grazing land condition on livestock performance in tropical woodlands. The Rangeland Journal 26, 49–71.
Crossref | GoogleScholarGoogle Scholar | open url image1

McDonald P , Edwards RA , Greenhalgh JFD , Morgan CA (2002) ‘Animal nutrition.’ 6th edn. (Prentice Hall: London)

Oficina de Estudios y Políticas Agrarias (2001) ‘Compendio Estadístico Silvoagropecuario 1990–2000.’ (Ministerio de Agricultura: Santiago, Chile)

Rojas C (2003) Crianza bovina: concentración de partos y pesos de terneros. pp. 47–49. Tierra Adentro (Jul-Ago), No. 51, Santiago, Chile.

Rojas C (2005) Manejo de la crianza. In ‘Producción y manejo de carne bovina en Chile. Ministerio de Agricultura’. (Ed. SA Catrileo) pp. 257–274. (Instituto de Investigaciones Agropecuarias: Santiago, Chile)

Rojas C, Romero O (1990) Sistema de crianza de Hereford, utilizando festuca con trébol subterráneo en el valle de la IX Región. Agricultura Técnica (Chile) 50, 379–385. open url image1

Uribe H , Lanuza F (2006) Reproducción. In ‘Manual de producción de leche para pequeños y medianos productores. Ministerio de Agricultura’. pp. 97–108. (Ed. H Navarro) Instituto de Investigaciones Agropecuarias. Centro Regional Remehue. Boletín No. 148. Osorno, Chile.

Williams CB, Oltenacu PA, Sniffen CJ (1989) Refinements in determining the energy value of body tissue reserves and tissue gains from growth. Journal of Dairy Science 72, 264–269. open url image1

Wood PDP (1967) Algebraic model of the lactation curve in cattle. Nature 216, 164–165.
Crossref | GoogleScholarGoogle Scholar | open url image1