La production de viande bovine à partir de femelles de réforme

Cabaraux, Jean-François; Dufrasne, Isabelle; Roux, M.; Istasse, Louis; Hornick, Jean-Luc

doi:10.20870/productions-animales.2005.18.1.3508

Cited by 13 publications

(16 citation statements)

References 36 publications

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“…In accordance with our results, different studies showed that an increase in concentrate quantities in the fattening diet induced an increase of fat tissue percentage and a decrease of muscle percentage in the carcass of young bulls (Geay and Beranger, 1969; Geay et al, 1976; Bowling et al, 1978;Mandell et al, 1998) and cull cows (Dumont et al, 1997;Cabaraux et al, 2005).…”

Section: Prediction Models Of Carcass Characteristics From Rearing Fasupporting

confidence: 93%

“…Previously observed effects of DMI (Cabaraux et al, 2005;Juniper et al, 2005) and NEI (Beranger and Robelin, 1977;Malterre et al, 2011) are in accordance with the impact of these rearing factors in the equations for both animal categories for fat tissue percentage and muscle percentage prediction models.…”

Section: Prediction Models Of Carcass Characteristics From Rearing Fasupporting

confidence: 80%

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Prediction of beef carcass and meat traits from rearing factors in young bulls and cull cows

Soulat

Léger

Monteils

2016

Journal of Animal Science

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The aim of this study was to predict the beef carcass and LM (thoracis part) characteristics and the sensory properties of the LM from rearing factors applied during the fattening period. Individual data from 995 animals (688 young bulls and 307 cull cows) in 15 experiments were used to establish prediction models. The data concerned rearing factors (13 variables), carcass characteristics (5 variables), LM characteristics (2 variables), and LM sensory properties (3 variables). In this study, 8 prediction models were established: dressing percentage and the proportions of fat tissue and muscle in the carcass to characterize the beef carcass; cross-sectional area of fibers (mean fiber area) and isocitrate dehydrogenase activity to characterize the LM; and, finally, overall tenderness, juiciness, and flavor intensity scores to characterize the LM sensory properties. A random effect was considered in each model: the breed for the prediction models for the carcass and LM characteristics and the trained taste panel for the prediction of the meat sensory properties. To evaluate the quality of prediction models, 3 criteria were measured: robustness, accuracy, and precision. The model was robust when the root mean square errors of prediction of calibration and validation sub-data sets were near to one another. Except for the mean fiber area model, the obtained predicted models were robust. The prediction models were considered to have a high accuracy when the mean prediction error (MPE) was ≤0.10 and to have a high precision when the was the closest to 1. The prediction of the characteristics of the carcass from the rearing factors had a high precision ( > 0.70) and a high prediction accuracy (MPE < 0.10), except for the fat percentage model ( = 0.67, MPE = 0.16). However, the predictions of the LM characteristics and LM sensory properties from the rearing factors were not sufficiently precise ( < 0.50) and accurate (MPE > 0.10). Only the flavor intensity of the beef score could be satisfactorily predicted from the rearing factors with high precision ( = 0.72) and accuracy (MPE = 0.10). All the prediction models displayed different effects of the rearing factors according to animal categories (young bulls or cull cows). In consequence, these prediction models display the necessary adaption of rearing factors during the fattening period according to animal categories to optimize the carcass traits according to animal categories.

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Section: Prediction Models Of Carcass Characteristics From Rearing Fasupporting

confidence: 93%

Section: Prediction Models Of Carcass Characteristics From Rearing Fasupporting

confidence: 80%

Prediction of beef carcass and meat traits from rearing factors in young bulls and cull cows

Soulat

Léger

Monteils

2016

Journal of Animal Science

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“…Consistently, increase in BW obs and BCS obs results in increasing energy for gain and increasing energy requirements. This is in accordance with the statement of Cabaraux et al (2005) that a cow culled at high condition score will gain weight as if it had already begun its finishing period and will have a lower feeding efficiency than a cow culled at a lean condition score.…”

Section: Discussionsupporting

confidence: 92%

“…Malterre (1986) reported that age of the cow has a negative effect on its ability to gain weight and to fatten. Cabaraux et al (2005) 5. Graphs of the observed NE intake of the 31 groups of Charolais cows at finishing against the requirements estimated (a) using previous recommendations (INRA 1989) and (b) with the CompoCow model.…”

Section: Model Response To Key Determinants Of Lipid Proportion In Thmentioning

confidence: 99%

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CompoCow: a predictive model to estimate variations in body composition and the energy requirements of cull cows during finishing

García

Agabriel

2008

J. Agric. Sci.

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SU MMARYCull cows account for a large part of beef consumption in France and are a significant proportion of farm income for dairy (0 . 10) and beef systems (up to 0 . 30). On-farm observations highlight considerable variations in cull cow phenotypes in terms of age, frame size, health, physiological status and body condition. Consequently, an important issue for producers of cull cows is the management of feed supply during the finishing period to obtain a satisfactory condition score and conformation prior to slaughter.New feeding recommendations for cull cows should consider live weight and live weight gain, age, frame size and body condition score (BCS) to estimate the energy requirements. A predictive model, called CompoCow, was developed for this purpose. The present paper describes the CompoCow model by summarizing developments from previous modelling approaches and outlining the assumptions and equations used in the model. CompoCow combines a growth model for the cow during its productive period (3-8 years old) and a model for the finishing period (in days) and was parameterized for Charolais, Limousine and Holstein breeds. Sensitivity analysis highlighted that the outputs of the model were mainly sensitive to initial body weight and expected body weight gain of the animal. The proportion of lipid in live weight gain was related to body weight, BCS and frame size of the animal. The model also accounts for the higher proportion of lipid in live weight gain in Holstein than in Charolais cows. The model was applied to data from Charolais cows. It showed that the proportion of variability explained by CompoCow for energy requirements was higher than the proportion obtained with previous INRA recommendations, 0 . 78 and 0 . 67, respectively. CompoCow does not rely on mechanistic relationships, but it appears robust as it accounts correctly for the effects of age and BCS on the requirements.

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Crossbreeding effect of double-muscled cattle on in vitro embryo development and quality

Residiwati

Tuska

Azari‐Dolatabad

et al. 2020

Reproductive Biology

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Nowadays, several developing countries have started to breed double-muscled cattle to their autochthonous cattle to improve meat production. However, the developmental competence of the resultant crossbreeding embryos is unknown. The objective of this study was to evaluate the effect of crossbreeding double-muscled (Belgian Blue; BB) semen with beef (Limousin; LIM) and dairy (Holstein-Friesian; HF) derived oocytes on embryo development and quality, using purebred BB as a control (BB oocytes fertilized by BB sperm). A single ejaculate of a BB bull was evaluated by Computer Assisted Sperm Analysis before using for in vitro fertilization. Ovaries from each breed were collected at the local slaughterhouse (n = 1,720 oocytes). All statistical analyses were performed using R-core (P < 0.05). Embryo quality was evaluated via differential-apoptotic staining of day 8 blastocysts. Cleavage (48 h post insemination) and day 8 blastocyst rates were greater (P < 0.05) for LIM (82.9 ± 6 and 27 ± 4.3%, respectively) than for BB (69.8 ± 8.5 and 19.6 ± 3.1%, respectively) and HF (45.1 ± 10 and 12.3 ± 2.2%, respectively). Holstein-Friesian presented lower cleavage and day 8 blastocyst rates than BB (P < 0.05). Limousin blastocysts presented a higher number (P < 0.05) of inner cell mass cells (ICM; 68 ± 7.8) than HF (40.4 ± 8.2). In conclusion, crossbreeding double-muscled cattle by in vitro fertilization with LIM oocytes yielded better embryo compared with the purebred combination, while the combination with HF oocytes produced the lowest rate of blastocysts.

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La production de viande bovine à partir de femelles de réforme

Cited by 13 publications

References 36 publications

Prediction of beef carcass and meat traits from rearing factors in young bulls and cull cows

Prediction of beef carcass and meat traits from rearing factors in young bulls and cull cows

CompoCow: a predictive model to estimate variations in body composition and the energy requirements of cull cows during finishing

Crossbreeding effect of double-muscled cattle on in vitro embryo development and quality

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