Multiphasic growth models for cattle

Nesetrilova, H.

doi:10.17221/4176-cjas

Cited by 21 publications

(15 citation statements)

References 8 publications

(6 reference statements)

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“…Several studies have reported significant correlations between estimates of growth curve parameters and reproductive traits in cattle (Beltrán et al, 1992;Menchaca et al, 1996;Bayram et al, 2004;Nesetrilova, 2005). Results indicated a negative association between the maturing rate index and the young cow reproductive traits age at first calving and calving interval, suggesting that early-maturing cows were younger at first calving and had shorter calving intervals, both indicators of improved fertility.…”

Section: Discussionmentioning

confidence: 98%

Growth characteristics, reproductive performance, and evaluation of their associative relationships in Brangus cattle managed in a Chihuahuan Desert production system1

Luna‐Nevárez

Bailey

et al. 2010

Journal of Animal Science

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Balancing growth and reproductive performance in beef cattle managed in desert environments is challenging. Our objectives were to 1) evaluate trends in growth and reproductive traits, and 2) assess associative relationships between growth characteristics and reproductive performance in a Brangus herd managed in a Chihuahuan Desert production system from 1972 to 2006. Data were from bull (n = 597) and heifer calves (n = 585; 1988 to 2006) and cows (n = 525; repeated records of cows, n = 2,611; 1972 to 2006). Variables describing the growth curve of each cow were estimated using a nonlinear logistic function (each cow needed 6 yr of data). Mixed-effect models and logistic regression were used to analyze trends across years in growth and reproductive traits (both continuous and categorical). For continuous traits of calves, a slight cubic response (P < 0.01) described the dynamics of birth weight, 205-d BW, and 365-d BW across years. For categorical traits of females, positive linear trends (P < 0.05) across years were observed in percent pregnant as yearlings, calved at 2 yr of age, and first-calf heifer rebreeding (slopes ranged from 0.007 to 0.014%/yr). Autumn cow BW increased gradually until 1997 (509 kg +/- 8.8) and then decreased gradually by 0.6 kg/yr, whereas pregnancy percentage decreased gradually until 1995 (78.4% +/- 1.0) and then increased slightly by 0.2%/yr. A quadratic effect best described the dynamics of these 2 variables across years (P < 0.01) as well as estimates describing the growth curve of each cow. Specifically, asymptotic BW and age increased (P < 0.05) from 1972 to 1983 and 1990, respectively. Asymptotic age then decreased by 27% from 1983 to 1996 (P < 0.05). The maturing rate index was negatively correlated with age at first calving and calving interval (r = -0.42 and -0.18, P < 0.01), which suggested that early-maturing cows had enhanced fertility in this environment and production system. In summary, minimal changes were observed in measures of growth in bulls and heifers in a Brangus herd managed in the Chihuahuan Desert. Opposing relationships were observed among measures of cow size and fertility; as growth curves shifted toward earlier maturity, measures of reproductive performance suggested that fertility improved.

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Section: Discussionmentioning

confidence: 98%

Growth characteristics, reproductive performance, and evaluation of their associative relationships in Brangus cattle managed in a Chihuahuan Desert production system1

Luna‐Nevárez

Bailey

et al. 2010

Journal of Animal Science

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“…The most commonly used analytical method for evaluation is the multi-trait animal model, the traits being net gain (calculated as carcass weight divided by age), "SEUROP" carcass conformation score (grades S to P according to muscularity), fatness classes (1 -lean, 5 -very fat) and meat percentage (Schild et al 2003). Nesetrilova (2005) described the growth curve for the Czech Fleckvieh cattle up to 1,400 days of age using a multiphase growth model. Vesela et al (2011) estimated the genetic indices of beef cattle production traits in the SEUROP system.…”

Section: Cattlementioning

confidence: 99%

Recent developments in cattle, pig, sheep and horse breeding - a review

et al. 2014

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The aim of this review was to summarize new genetic approaches and techniques in the breeding of cattle, pigs, sheep and horses. Often production and reproductive traits are treated separately in genetic evaluations, but advantages may accrue to their joint evaluation. A good example is the system in pig breeding. Simplified breeding objectives are generally no longer appropriate and consequently becoming increasingly complex. The goal of selection for improved animal performance is to increase the profit of the production system; therefore, economic selection indices are now used in most livestock breeding programmes. Recent developments in dairy cattle breeding have focused on the incorporation of molecular information into genetic evaluations and on increasing the importance of longevity and health in breeding objectives to maximize the change in profit. For a genetic evaluation of meat yield (beef, pig, sheep), several types of information can be used, including data from performance test stations, records from progeny tests and measurements taken at slaughter. The standard genetic evaluation method of evaluation of growth or milk production has been the multi-trait animal model, but a test-day model with random regression is becoming the new standard, in sheep as well. Reviews of molecular genetics and pedigree analyses for performance traits in horses are described. Genome -wide selection is becoming a world standard for dairy cattle, and for other farm animals it is under development.

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“…Non-linear growth functions (e.g., Bhowmick & Bhattacharya, Gompertz, Logistic, Von Bertalanffy, Weibull and Richards), with parameters estimated by regression, describe animal growth (Bhowmick and Bhattacharya, 2014;Chizzotti et al, 2008;Forni et al, 2009;Freetly et al, 2011;Marinho et al, 2013;Nesetrilová, 2005). However, they have limited capacity to estimate body composition (i.e., fat and protein), thus, neglecting the possible interactions between metabolism and composition of gain dynamics (NRC, 1996).…”

Section: Introductionmentioning

confidence: 99%

Parametrization of the Davis Growth Model using data of crossbred Zebu cattle

Biase

Dias

Barioni

et al. 2017

Sci. agric. (Piracicaba, Braz.)

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The system of differential equations proposed by Oltjen et al. [1986, named Davis Growth Model (DGM)] to represent cattle growth has been parameterized with data from Bos taurus (British) and Bos indicus (Nellore) breeds. The DGM has been successfully used for simulation and decision support in the United States. However, the effect of about 30 years of genetic improvement and the use of different breeds may affect the model parameter values, which also may need to be re-estimated for crossbred animals. The aim of this study was to estimate parameter values and confidence intervals for the DGM with growth and body composition data from Zebu crossbred animals. Confidence intervals and asymptotic distribution were generated through nonparametric bootstrap with data from a field experiment conducted in Brazil. The parameters showed normal probability distribution for most scenarios. The rate constant for deoxyribonucleic acid (DNA) synthesis had a minimum increase of 156 % and the maximum of 389 %, compared to the original values and the maintenance requirement had a minimum increase of 126 % and maximum of 160 % compared to the original values. Lower limits of 95 % confidence intervals for the parameters related to maintenance and protein accretion rates were higher than the original estimates of the DGM, evidencing genetic differences of the Zebu crossbred animals in relation to the original DGM parameters.

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Multiphasic growth models for cattle

Cited by 21 publications

References 8 publications

Growth characteristics, reproductive performance, and evaluation of their associative relationships in Brangus cattle managed in a Chihuahuan Desert production system1

Growth characteristics, reproductive performance, and evaluation of their associative relationships in Brangus cattle managed in a Chihuahuan Desert production system1

Recent developments in cattle, pig, sheep and horse breeding - a review

Parametrization of the Davis Growth Model using data of crossbred Zebu cattle

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