A bio-economic model to improve profitability in a large national beef cattle population

  • Javier López-Paredes Universidad Politécnica de Madrid, Dept. Producción Agraria. 28040 Madrid
  • Jose-Antonio Jiménez-Montero CONAFE, Spanish Holstein Association, 28340 Valdemoro (Madrid)
  • Maria-Angeles Pérez-Cabal Universidad Complutense de Madrid, Dept. Producción Animal, 28040 Madrid
  • Oscar González-Recio Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, O.A., M.P. (INIA), 28040 Madrid
  • Rafael Alenda Universidad Politécnica de Madrid, Dept. Producción Agraria. 28040 Madrid
Keywords: profit function, economic values, bioeconomic model


A bio-economic model was developed for estimating economic values for use in improving profitability in a large national beef cattle population from birth to slaughter. Results were divided into fattening costs, production costs and income. Economic values were derived for 17 traits for two regions, mature weight (-0.43 € and -0.38 €/+1 kg of live weight), age at first calving (-0.13 € and -0.11 €/+1d), calving interval (-1.06 € and -1.02 €/+1d), age at last calving (0.03 € and 0.03 €/+1d), mortality 0-48 h (-5.86 € and -5.63 €/1% calves per cow and year), pre-weaning mortality (-5.96 € and -5.73 €/+1% calves per cow and year), fattening mortality (-8.23 € and -7.88 €/+1% calves per cow and year), adult mortality (-8.92 € and -7.34 €/+1% adult cows per cow and year), pre-weaning average daily gain (2.56 € and 2.84 €/+10g/d), fattening young animals average daily gain (2.65 € and 3.00 €/+10g/d), culled cow in fattening average daily gain (0.25 € and 0.16 €/+10g/d), culled cow dressing carcass percentage (3.09 € and 2.42 €/+1%), culled cow price (4.59 € and 3.59 €/+0.06 €/kg), carcass conformation score (16.39 € and 15.3 €/+1 SEUROP class), dressing carcass rate of calf (18.22 € and 18.23 €/+1%), carcass growth (9.00 € and 10.09 €/+10g of carcass weight/d) and age at slaughter (0.27 € and 0.44 €/+1d). Two sample herds were used to show the economic impact of calving interval and age at first calving shortening in the profit per slaughtered young animal, which was 178 € and 111 € for Herds A and B, respectively. The economic values of functional traits were reduced and production traits were enhanced when fertility traits were improved. The model could be applied in a Spanish national program.


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Aby BA, Aass L, Sehested E, Vangen O, 2012. A bio-economic model for calculating economic values of traits for intensive and extensive beef cattle breeds. Livest Sci 143 (2): 259-269. https://doi.org/10.1016/j.livsci.2011.10.003

Agabriel J, D’Hour P, 2007. Alimentations des vaches allaitantes. In: Alimentation des bovins, ovins et caprins. INRA, Paris. pp: 58-65.

Albera A, P. Carnier P, Groen AF, 2002. Economic values for beef traits in Piemontese cattle. Proc VII World Congress on Genetics Applied to Livestock Production, Montpellier (France), Aug. pp: 0-4.

Albera A, Carnier P, Groen AF, 2004. Definition of a breeding goal for the Piemontese breed: economic and biological values and their sensitivity to production circumstances. Livest Prod Sci 89: 67-78. https://doi.org/10.1016/j.livprodsci.2003.12.004

Amer P, Lowman B, Simm G, 1996. Economic values for reproduction traits in beef suckler herds based on a calving distribution model. Livest Prod Sci 46: 85-96. https://doi.org/10.1016/0301-6226(96)00016-4

Amer P, Simm G, Keane M, Diskin M, Wickham B, 2001. Breeding objectives for beef cattle in Ireland. Livest Prod Sci 67: 223-239. https://doi.org/10.1016/S0301-6226(00)00201-3

Berry DP, Garcia JF, Garrick DJ, 2016. Development and implementation of genomic predictions in beef cattle. Anim Front 6: 32-38. https://doi.org/10.2527/af.2016-0005

Bourdon R.M, Brinks JS, 1983. Calving date versus calving interval as a reproductive measure in beef cattle. J Anim Sci 57: 1412-1417. https://doi.org/10.2527/jas1983.5761412x

Charfeddine N, 1998. Selección por mérito económico global en el ganado vacuno frisón en España. Tesis doctoral, Dpto. Producción Animal, ETSI Agrónomos, UPM, Madrid.

Conroy SB, Drennan MJ, Kenny DA, McGee M, 2010. The relationship of various muscular and skeletal scores and ultrasound measurements in the live animal, and carcass classification scores with carcass composition and value of bulls. Livest Sci 127: 11-21. https://doi.org/10.1016/j.livsci.2009.06.007

Day ML, Nogueira GP, 2013. Management of age at puberty in beef heifers to optimize efficiency of beef production. Anim Front 3: 6-11. https://doi.org/10.2527/af.2013-0027

Daza-Andrada A, 2014. Vacuno de carne con criterios económicos. Editorial Agricola Española, Madrid.

De Haas Y, Veerkamp RF, Shalloo L, Dillo P, Kuipers A, Klopčič M, 2013. Economic values for yield, survival, calving interval and beef daily gain for three breeds in Slovenia. Livest Sci 157: 397-407. https://doi.org/10.1016/j.livsci.2013.08.015

Dickerson G, 1970. Efficiency of animal production-molding the biological components. J Anim Sci 30: 849-859. https://doi.org/10.2527/jas1970.306849x

Etienne A, Martínez Valderrama J, Díaz-Ambrona H, Gregorio C, 2008. Productive model of evergreen oak and annual pastures in Extremadura (Spain). Proc XII Meeting of the FAO-CIHEAM sub-network on Mediterranean pastures and fodder crops, Zaragoza (Spain), pp: 65-68.

Fernández-Perea M, Alenda-Jiménez R, 2004. Economic weights for a selection index in Avileña purebred beef cattle. Livest Prod Sci 89: 223-233. https://doi.org/10.1016/j.livprodsci.2004.01.004

Gutiérrez JP, Alvarez I, Fernandez I, Royo LJ, Diez J, Goyache F, 2002. Genetic relationships between calving date, calving interval, age at first calving and type traits in beef cattle. Livest Prod Sci 78: 215-222. https://doi.org/10.1016/S0301-6226(02)00100-8

Harris DL, 1970. Breeding for efficiency in livestock production: Defining the economic objectives. J Anim Sci 30: 860-865. https://doi.org/10.2527/jas1970.306860x

Harris DL, Newman S, 1994. Breeding for profit: synergism between genetic improvement and livestock production (a review). J Anim Sci 72: 2178-2200.

Hirooka H, Sasaki Y, 1998. Derivation of economic weights for carcass traits in Japanese Black cattle from field records. J Anim Breed Gen 115 (1‐6): 27-37. https://doi.org/10.1111/j.1439-0388.1998.tb00325.x

Hirooka H, Groen AF, Hillers J, 1998. Developing breeding objectives for beef cattle production 1. A bio-economic simulation model. Anim Sci 66 (3): 607-622. https://doi.org/10.1017/S1357729800009188

INRA, 1988. Alimentation des bovins ovins & caprins; Jarrige R (ed), Institut National de la Recherche Agronomique, Paris.

Kluyts JF, Neser FWC, Bradfield MJ, 2004. Development of breeding objectives for beef cattle breeding: derivation of economic values: review article. S Afr J Anim Sci 33: 142-158. https://doi.org/10.4314/sajas.v33i3.3768

Kulak K, Wilton J, Fox G, Dekkers J, 2003. Comparisons of economic values with and without risk for livestock trait improvement. Livest Prod Sci 79 (2): 183-191. https://doi.org/10.1016/S0301-6226(02)00155-0

Lowman BG, Scott N, Somerville S, 1976. Condition scoring of cattle, rev. ed. Bull. East of Scotland College of Agriculture, No. 6.

MacNeil MD, Newman S, 1994. Selection indices for Canadian beef production using specialized sire and dam lines. Can J Anim Sci. 74 (3): 419-424. https://doi.org/10.4141/cjas94-060

MAPAMA, 2014. Estudio del sector español de vacas nodrizas. Datos SITRAN 2014. Subdirección General de Productos Ganaderos. Ministerio de Agricultura, Alimentación y Medio Ambiente, Gobierno de España. http://www.mapama.gob.es/es/ganaderia/temas/produccion-y-mercados-ganaderos/estudio_nodrizas_2014_tcm7-267234.pdf

Minick Bormann J, Wilson DE, 2010. Calving day and age at first calving in Angus heifers1. J Anim Sci 88: 1947-1956. https://doi.org/10.2527/jas.2009-2249

Moav R, 1973. Economic evaluation of genetic differences. In: Agricultural genetics: selected topics; pp: 319-352. John Wiley and Sons, NY.

Nielsen HM, Amer PR, Byrne TJ, 2014. Approaches to formulating practical breeding objectives for animal production systems. Acta Agric Scand A - Anim Sci 64 (1): 2-12.

NRC, 2000. Nutrient requirements of beef cattle, update 7th rev. ed. Natl Acad Press, Washington DC, USA.

Olea L, San Miguel-Ayanz A, 2006. The Spanish dehesa. A traditional Mediterranean silvopastoral system linking production and nature conservation. XXI General Meeting of the European Grassland Federation, Badajoz (Spain). pp: 3-13.

Phocas F, Bloch C, Chapelle P, Bécherel F, Renand G, Ménissier F, 1998. Developing a breeding objective for a French purebred beef cattle selection programme. Livest Prod Sci 57: 49-65. https://doi.org/10.1016/S0301-6226(98)00157-2

Ponzoni RW, Newman S, 1989. Developing breeding objectives for Australian beef cattle production. Anim Prod 49: 35-47. https://doi.org/10.1017/S0003356100004232

Pravia MI, Ravagnolo O, Urioste JI, Garrick DJ, 2014. Identification of breeding objectives using a bioeconomic model for a beef cattle production system in Uruguay. Livest Sci 160: 21-28. https://doi.org/10.1016/j.livsci.2013.12.006

Ronningen K, 1971. Tables for estimating the loss in efficiency when selecting according to an index based on a false economic ratio between two traits. Acta Agric Scand 21: 33-49. https://doi.org/10.1080/00015127109433425

Roughsedge T, Amer PR, Thompson R, Simm G, 2005. Genetic parameters for a maternal breeding goal in beef production. J Anim Sci 83 (10): 2319-2329. https://doi.org/10.2527/2005.83102319x

Sanz A, Bernués A, Villalba D, Casasús I, Revilla R, 2004. Influence of management and nutrition on postpartum interval in Brown Swiss and Pirenaica cows. Livest Prod Sci 86: 179-191. https://doi.org/10.1016/S0301-6226(03)00165-9

Short RE, Staigmiller RB, Bellows RA, Greer RC, 1990. Breeding heifers at one year of age: Biological and economical considerations. Proc. 39th Annu. Beef Cattle Short Course. Univ. of Florida, Gainesville, USA. pp: 93-106.

Smith C, James JW, Brascamp EW, 1986. On the derivation of economic weights in livestock improvement. Anim Prod 43: 545-551. https://doi.org/10.1017/S0003356100002750

Tess MW, Davis KC, 2002. Gordon Dickerson: Defining economic efficiency of beef production Proc. Beef Improvement Fed Res Symp Annu Meeting. Omaha (USA). pp: 21-31.

Vermorel M, 1978. Feed evaluation for ruminants. II. The new energy systems proposed in France. Livest Prod Sci 5: 347-365. https://doi.org/10.1016/0301-6226(78)90030-1

Wolfová M, Wolf J, Přibyl J, Zahrádková R, Kica J, 2005a. Breeding objectives for beef cattle used in different production systems: 1. Model development. Livest Prod Sci 95: 201-215. https://doi.org/10.1016/j.livprodsci.2004.12.018

Wolfová M, Wolf J, Zahrádková R, Přibyl J, Daňo J, Krupa E, Kica J, 2005b. Breeding objectives for beef cattle used in different production systems: 2. Model application to production systems with the Charolais breed. Livest Prod Sci 95: 217-230. https://doi.org/10.1016/j.livprodsci.2004.12.019

How to Cite
López-ParedesJ., Jiménez-MonteroJ.-A., Pérez-CabalM.-A., González-RecioO., & AlendaR. (2017). A bio-economic model to improve profitability in a large national beef cattle population. Spanish Journal of Agricultural Research, 15(3), e0406. https://doi.org/10.5424/sjar/2017153-10901
Animal breeding, genetics and reproduction