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Estimation of direct and maternal genetic parameters for weaning weight in Hungarian Simmental cattle
17-22Views:175The aim of the current research was to estimate variance components and genetic parameters of weaning weight in Hungarian Simmental cattle. Weaning weight records were obtained from the Association of Hungarian Simmental Breeders. The dataset comprised of 44,278 animals born from 1975 to 2020. The data was analyzed using the restricted maximum likelihood methodology of the Wombat software. We fitted a total of six models to the weaning weight data of Hungarian Simmental cattle. Models ranged from a simple model with animals as the only random effect to a model that had maternal environmental effects as additional random effects as well as direct maternal genetic covariance. Fixed effects in the model comprised of herd, birth year, calving order and sex. Likelihood ratio test was used to determine the best fit model for the data. Results indicated that allowing for direct-maternal genetic covariance increases the direct and maternal effect dramatically. The best fit model had direct and maternal genetic effects as the only random effect with non-zero direct-maternal genetic correlation. Direct heritability, maternal heritability and direct maternal correlation of the best fit model was 0.57, 0.16 and -0.78 respectively. The result indicates that problem of (co-)sampling variation occurs when attempting to partition additive genetic variance into direct and maternal components.
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Analyzing the Efficiency of Dairy Farms by Using the Method of Data Envelopment Analysis (DEA)
17-21Views:116In Hungary the dairy sector is in a long-term critical period, the stock has been in constant decline. The consumption of milk and dairy products in Hungary is slightly rising compared to the world tendency, and it is fallen behind the level in 1990. The milk consumption per capita in 2006 was with 75 liters less than the EU-15 average. Dairy enterprise is a very risky activity: the profitability of the enterprise is affected by the fluctuation of feed and animal health products prices from the side of inputs, and by the fluctuation of end-product prices. Under these circumstances it is vital for the
cattle breeders, in order to survive, to harness the reserves in the breeding as effectively as possible. In our research we made a multi-faceted efficiency analysis of an agricultural holding’s three dairy farms. The chosen method for the analysis was Data Envelopment Analysis (DEA). The
selection of the method is justified by the fact that there is not such a reliable database by which we could define production functions, and that DEA makes possible to manage several inputs and outputs, i.e. multiple decision problems, simultaneously. By using DEA the sources that causes shortfalls can be identified, analyzed and quantified on farms that does not operate efficiently, thus it can help the corporate decision support successfully. In the model inputs are the cost data per one liter milk – feed, medicinal product use, logistic costs -, and the main parameters
concerning the keeping and rearing. Outputs are indicators concerning milk production, milk quality and others. We prepared the model in MS Excel, the linear programming model series were programmed by Visual Basic. After solving the model, in light of the shadow prices we can determine why either of the farms is not efficient. -
The evaluation of body condition scoring of Holstein-Friesian cows
57-61Views:130We carried out the examinations on a farm of 500 cows where We examined the body condition of the stock every month. We recorded the body condition data together with the milk production and calving data. We analysed the daily milk production as well as the body condition. During the examinations we sought an answer how the body condition and the production level change during the lactation period.
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Study of changes in the strength of connection between grey cattle cows and their offspring after weaning
129-136Views:328It is important to minimize stress for cattle because of animal welfare and profitability. This study aims to reveal how long after abrupt weaning the cow and her offspring show a need to rebuild the connection if physical barriers are removed and distances disappear. The research was carried out on Szamárhát Farm owned by the Tiszatáj Foundation, Hungary. In the autumn of 2019, thirty-one calves were weaned, randomly selected from 81 grey cattle cows’ offspring. The oldest calf was 10 months old, while the youngest one was 6 months old on the day of weaning. They were divided into three groups and reunited with the cows during the first, third, and fifth weeks after weaning. Each reunion happened in the early afternoon and the cow and her offspring spent 24 hours together again. The formation and the strength of the connection were recorded for an hour three times during this period, first in the afternoon, then in the morning, and the next afternoon. It can be seen that both parties showed the need to form the connection during the first week after weaning because the bond made between them was obvious in a short time. The connections proved to be strong. However, neither the cows nor their offsprings showed any intention to form strong connections in the third and fifth weeks. In the majority of the cases, no connection was formed.
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The analysis of ostrich chick vitality
35-40Views:134Examinations on ostrich chick vitality can help to improve the effectiveness of Hungarian ostrich husbandry and hatching technology. The investigations were carried out on an ostrich breeder farm in Eastern Hungary. For the analyses, the Tona et al. (2003) scoring system was applied presenting eight main criteria (activity, feather, condition, eyesight, the condition of navel and leg, the amount of the remaining shell membrane and egg content, and the size and tenderness of the abdomen). Most chicks (98.08%) were vigilant and had clean and dry feathers. There was no difference between the average hatching weights between May and August but a decreasing tendency was shown during the laying season. The vitality total score was above 90 in each evaluated month and was not affected by the hatching month. Our results revealed that the vitality of chicks was not affected by either the hatching month (P=0.51) or the weight category (P=0.11). Neither the hatching weight of chicks and leg condition were correlated (P=0.79). Results showed that the Tona scoring system with small modifications can be well applied to ostrich chicks. Practical on-farm usage of the system can be suggested as an aid in day-old chick evaluation. After individual marking of chicks, the investigation of growth and culling rate could be carried out for more precise conclusions, involving more farms and laying seasons.