ORIGINAL PAPER
 
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ABSTRACT
The aim of this study was to determine the effect of gender status and concentrate supplementation level on the fattening process in beef crosses with various maturity types. The animals were fattened in two dietary treatments groups differing in the level of concentrate supplementation, analogous in terms of sire breed and gender status. Feed intake was recorded. Body weight, dry matter intake and feed efficiency were analysed using the Gompertz model in 36 bulls and 36 steers, crosses of Polish Holstein-Friesian (PHF) cows and beef bulls (Hereford – HH, Limousin – LM, Charolais – CH), aged 300 to 550 days. The performance of the Gompertz model was assessed by calculating the coefficient of determination. Results showed that animals of all genotypes fed diets with a higher concentrate level were characterised by a higher growth rate. PHF × HH crosses reached their peak growth rate between 400 and 450 days of age, regardless of feeding level. On the other hand, PHF × LM crosses reached the maximum growth rate faster at the higher level of concentrate supplementation compared to the lower level (350 vs. 450 days of age). Therefore, PHF × CH bulls should be fed more intensively than steers due to the strong effect of gender status on their relative growth rate and feed efficiency. The analysis of growth curves in beef cattle can improve feed efficiency and help meet the nutrient requirements of animals at different growth stages. Predictive models could be used to estimate the breeding value of beef cattle and support selection for economically significant traits.
CONFLICT OF INTEREST
The Authors declare that there is no conflict of interest.
 
REFERENCES (29)
1.
Akbaş Y., Alçiçek A., Önenç A. Güngör M., 2006. Growth curve analysis for body weight and dry matter intake in Friesian, Limousin x Friesian and Piemontese x Friesian cattle. Arch. Tierz. 49, 329–339, https://doi.org/10.5194/aab-49....
 
2.
AOAC, 2012. Official Method of Analysis: Association of Analytical Chemists. 19th Edition, Washington DC.
 
3.
Demir Y., Sahinler Z., 2021. Comparison of growth curves using non-linear models in Morkarman male lambs subjected to different feeding regimes. J. Anim. Plant Sci. 31, 665–670, https://doi.org/10.36899/JAPS.....
 
4.
Domínguez-Viveros J., Rodríguez-Almeida F.A., Aguilar-Palma G.N., Castillo-Rangel F., Saiz-Pineda J.F., Villegas-Gutiérrez C., 2020. Fitting of non-linear models to characterize the growth of five zebu cattle breeds. Livest. Sci. 242, 104303, https://doi.org/10.1016/j.livs....
 
5.
Duan X., An B., Du L., Chang T., Liang M., Yang B.-G., Xu L., Zhang L., Li J., E G., Gao H., 2021. Genome-Wide Association Analysis of Growth Curve Parameters in Chinese Simmental Beef Cattle. Animals 11, 192, https://doi.org/10.3390/ani110....
 
6.
Esfandyari H., Jensen J., 2021. Simultaneous Bayesian estimation of genetic parameters for curves of weight, feed intake, and residual feed intake in beef cattle. J. Anim. Sci. 99, 231, https://doi.org/10.1093/jas/sk....
 
7.
Fan L.Q., Bailey D.R., Shannon N.H., 1995. Genetic parameter estimation of postweaning gain, feed intake, and feed efficiency for Hereford and Angus bulls fed two different diets. J. Anim. Sci. 73, 365–372, https://doi.org/10.2527/1995.7....
 
8.
Fernandes H.J., Tedeschi L.O., Paulino M.F., Detmann E., Paiva L.M., de Campos S., Filho V., da Silva A.G., Azevêdo J.A.G., 2012. Evaluation of mathematical models to describe growth of grazing young bulls. R. Bras. Zootec. 41, 367–373, https://doi.org/10.1590/S1516-....
 
9.
Freetly H.C., Kuehn L.A., Cundiff L.V., 2011. Growth curves of crossbred cows sired by Hereford, Angus, Belgian blue, Brahman, Boran, and Tuli bulls, and the fraction of mature body weight and height at puberty. J. Anim. Sci. 89, 2373–2379, https://doi.org/10.2527/jas.20....
 
10.
Goyache F., Fernandez I., Royo L., Alvarez I., Gutierrez J.P., 2003. Factors affecting actual weaning weight, preweaning average daily gain and relative growth rate in Asturianna de los Valles beef cattle. Arch. Tierz. Dummerstorf 46, 235–243, https://doi.org/10.5194/aab-46....
 
11.
Hirooka H., 2010. Systems approaches to beef cattle production systems using modeling and simulation. Anim. Sci. J. 81, 411–424, https://doi.org/10.1111/j.1740....
 
12.
Hozáková K., Vavrišínová K., Neirurerová P., Bujko J., 2020. Growth of beef cattle as prediction for meat production: A review. Acta Fytotechn. Zootechn, 23, 58–69, https://doi.org/10.15414/afz.2....
 
13.
Kowalski Z.M., Ludwin J., Górka P., Rinne M., Weisbjerg M.R., JagusiakW., 2014. The use of cellulase and filter bag technique to predict digestibility of forages. Anim. Feed Sci. Tech. 198, 49–56, https://doi.org/10.1016/j.anif....
 
14.
Lawrence T.L.J., Fowler V.R., 2002. Growth of Farm Animals. 2nd Edition. CAB International, Wallingford, 368 pp., https://doi.org/10.1079/978085...
 
15.
Liang Y., Zhu B., Jin S., Bao J., Xu L., Chen Y., Gao X., Zhang L., Gao H., Li J., 2018. The growth curve fitting and the correlation analysis between body weight and body measurements in Chinese Simmental beef cattle population. Acta Vet. Zootech. Sin. 49, 497–506.
 
16.
Licitra G., Hernandez T.M., Van Soest P.J., 1996. Standardization of procedures for nitrogen fractionation of ruminant feeds. Anim. Feed Sci. Technol. 57, 347–358, https://doi.org/10.1016/0377-8....
 
17.
Manninen M., Honkavaara M., Jauhiainen L., Nykanen A., Heikilla A.M, 2011. Effects of grass-red clover silage digestibility and concentrate protein concentration on performance, carcass value, eating quality and economy of finishing Hereford bulls reared in cold conditions. Agric. Food Sci. 20, 151–168, https://doi.org/10.2137/145960....
 
18.
Narinç D., Öksüz Narinç N., Aygün A., 2019. Growth curve analyses in poultry science. Worlds Poult. Sci. J. 73, 395–408, https://doi.org/10.1017/S00439....
 
19.
Polish Standard. Feeds. Sampling. PN-90/R-64769.
 
20.
Rezende M.P.G., Malhado C.H.M., Biffani S., Carrillo-Tabakman J.A., Fabbri M.C., Crovetti A., Carneiro P.L.S., Bozzi R., 2022. Heritability and genetic correlation of body weight and Kleiber ratio in Limousin and Charolais beef cattle breeds. Animal, 16, 100528, https://doi.org/10.1016/j.anim....
 
21.
Seber G.A.F., Wild C.J., 1989. Nonlinear Regression. John Wiley & Sons, New York, USA, https://doi.org/10.1002/047172...
 
22.
Selvaggi M., Laudadio V., D’Alessandro A.G., Dario C., Tufarelli V., 2017. Comparison on accuracy of different nonlinear models in predicting growth of Podolica bulls. Anim. Sci. J. 88, 1128–1133, https://doi.org/10.1111/asj.12....
 
23.
Selvaggi M., Laudadio V., Dario C., Tufarelli V., 2015. Modelling growth curves in a nondescript italian chicken breed: an opportunity to improve genetic and feeding strategies. Poult. Sci. J. 52, 288–294, https://doi.org/10.2141/jpsa.0....
 
24.
Strzetelski J. (Editor), 2009. Nutrient Requirements of Ruminants: Nutritional Value of French and Polish Ruminant Feeds (in Polish). The National Research Institute of Animal Production: Cracow (Poland), 240 pp.
 
25.
Thomas A.T., 1977. An automated procedure for the determination of soluble carbohydrates in herbage. J. Sci. Food Agric. 28, 639–642, https://doi.org/10.1002/jsfa.2....
 
26.
Thornley J.H.M., France J., 2007. Mathematical models in agriculture: quantitative methods for the plant, animal and ecological sciences. 2nd Edition. Oxon: CABI, Wallingford, UK, https://doi.org/10.1079/978085...
 
27.
Tutkun M., 2019. Growth curve prediction of Holstein-Friesian bulls by different non-linear model functions. Appl. Ecol. Environ. Res. 17, 4409–4416, https://doi.org/10.15666/aeer/....
 
28.
Van Soest P.J., Robertson J.B., Lewis B.A., 1991. Methods for dietary fiber, neutral detergent fiber and nonstarch polysaccharides in relation to animal nutrition. J. Dairy Sci. 74: 3583–3597, https://doi.org/10.3168/jds.S0....
 
29.
Wilson B.J., 1977. Growth curves: their analysis and use, In: Boorman KN, Wilson BJ (eds), Production, pp. 89–115. British Poultry Science Ltd.. Edinburgh, UK.
 
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