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1

Economic evaluation of cow-calf herds. II. Analysis of the main determinants

100%
Michalickova M., Krupova Z., Krupa E.
Animal Science Papers and Reports
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2015
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tom 33
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nr 4
Effects of basic production and economic variables on the economic outcome of cow-calf herds in Slovakia for the period 2008 to 2012 were quantified using a linear regression model. Total costs per cow per year, costs per calf sold and average daily gain of calf from birth to selling were identified as the major determinants (P<0.05) of variation in economic results among analysed herds. Annual profit per cow declined by 1.09 € and 0.80 €, respectively, per 1 € increase in the annual cost per cow and per sold calf, respectively. Among individual cost components, farm feed, depreciation of animals, other direct costs and overhead costs significantly impacted profits. A 1 g increase in average daily calf gain was associated with an increase in annual profit of 0.59 € per cow. This is related to the specific character of the cow-calf production system, in which economic outcomes are predominantly dependent upon calf production. Major determinants increasing profitability included higher weight of sold calves, lower costs per sold calf and lower costs of producing replacement heifers. Regular calculation and analysis of costs are necessary to maximise utilization of inputs and evaluate farm efficiency as objectively as possible.
2

Metody określające obecność mąki z pszenicy zwyczajnej w makaronach

100%
Obuchowski W., Zdziarski R., Krupa E.
Przegląd Zbożowo-Młynarski
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1990
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tom 34
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nr 10
3

Economic evaluation of cow-calf herds. I. Calculation methods

100%
Michalickova M., Krupova Z., Krupa E.
Animal Science Papers and Reports
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2015
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tom 33
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nr 3
Methodology for a comprehensive evaluation of production and economic variables for suckler herd production in Slovakia were developed using herd records from 2008 through 2012. Major characteristics of the production system were considered. Among other conclusions, the number of weaned calves as the only product of the system depended mostly on cow fertility and affected both revenues and costs. Herds were characterized by low labour requirements and capital investments.Feed costs were an important component in the calculation formula. Strict adherence to traditional seasonal winter calving (mainly in January-March) was critical for the investigated cow-calf system, because it facilitates effective grazing management and thus reduces costs of feed for cows and calves during the spring season. To rationally model the suckler cow production system and to properly allocate revenues and costs, the accounting period should be based on the production year (October-September). At no time over the period under investigation was the average herd profitable, even when direct subsidies were included in annual revenues. The most favourable economic outcome across years (-208 € per cow per year in 2008) was achieved primarily thanks to lower costs per feeding day (-48%) and higher average daily gain of calves till weaning (+18%) than in the other years.
4

Genetic evaluation of the growth of beef bulls at a performance test station

100%
Vostry L., Vesela Z., Krupa E.
Journal of Animal and Feed Sciences
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2014
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tom 23
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nr 1
Genetic evaluation of the growth of bulls at a performance test station was performed using a single-trait model (STAM) and multi-trait models that included pre-weaning growth. The growth of the bulls was represented by the average daily gain in the test (ADGT). Pre-weaning growth was expressed as average daily gains from birth to 120 days of age (ADG120) and from 120 to 210 days of age (ADG210). The coefficient of heritability across breeds was estimated by all models to be approximately 0.17 for ADG120, 0.13 for ADG210, and 0.27 for ADGT. Some tested models included the random effect of direct permanent environment. All testing criteria prioritized the multi-trait model incorporating the direct permanent effect, which was the most important effect in the model. The values of Spearman’s coefficients of correlation between breeding value predicted by the single-trait and multi-trait models were 0.93, and in the particular models that evaluated 10%, 5% and 1% of the best sires, the values ranged from 0.76 to 0.83.
5

Genetic relationships among calving ease, birth weight and perinatal calf survival in Charolais cattle

88%
Vostry L., Milerski M., Krupa E., Vesela Z., Vostra-Vydrova H.
Animal Science Papers and Reports
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2015
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tom 33
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nr 3
Perinatal calf mortality affects profitability of beef cattle production systems, hence, it Gould eventually be beneficial to include this trait in a breeding goal. The objectives of this study were to estimate the environmental effects and heritabilities of and genetic correlations among birth weight (BW), calving ease (CE) and calf survival (CS) in Charolais cattle, in the Czech Republic.The dataset contained 27,402 field records. Fixed effects in the 3-trait model were year of birth, age of dam, sex, and litter size of calf. Random effects in the model were direct and maternal genetic effects, maternal permanent environment, contemporary group (herd x year x season), and residual.Birth weight was modelled as a normally distributed trait, while for calf survival a linear logit model was applied. The CE score was either transformed to be normally distributed (T1) or treated as a binary trait (T2). For T1, heritabilities for the direct genetic effect were 0.23, 0.21 and 0.05 for BWd, CEd and CSd, respectively; while heritabilities for maternal genetic effects were 0.10, 0.02 and 0.05 for BWm, CEm, and CSm. Genetic correlations among BW, CE and CS were close to zero for both direct and maternal genetic effects with the exception of that between BWd and CEd (0.21 for T1 and 0.24 for T2). Results suggest that low additive direct and maternal genetic variances for calf survival and low to modest direct and maternal genetic correlations between BW, CE and CS would limit effectiveness of selection for calf survival in a breeding program, in spite of its economic importance in beef cattle production.
6

Prediction of intramuscular fat in live bulls using real-time ultrasound and image analysis

76%
Polak P., Mendizabal J. A., Roa N. E. B., Krupa E., Huba J., Peskovicova D., Oravcova M.
Journal of Animal and Feed Sciences
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2008
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tom 17
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nr 1
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