The aim of the article is to evaluate production efficiency and its determinants of specialised dairy farming among the EU regions. In the most of European regions, there is a relatively high significance of small specialised farms including dairy farms. The DEAVRS method (data envelopment analysis with variable returns to scale) reveals efficient and inefficient regions including the scale efficiency. In the next step, the two-sample t-test determines differences of economic and structural indicators between efficient and inefficient regions. The research reveals that substitution of labour by capital/contract work explains the variability of the farm net value added per AWU (annual work unit) income indicator by more than 30%. The significant economic determinants of production efficiency in specialised dairy farming are farm size, herd size, crop output per hectare, productivity of energy, and capital (at α = 0.01). Specialised dairy farms in efficient regions have significantly higher farm net value added per AWU than inefficient regions. Agricultural enterprises in inefficient regions have a more extensive structure and produce more noncommodity output (public goods). Specialised dairy farms in efficient regions have a slightly higher milk yield, specific livestock costs of feed, bedding, and veterinary services per livestock unit.
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http://dx.doi.org/10.1155/2014/985149 | DOI Listing |
Trop Anim Health Prod
January 2025
Livestock Production and Management Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh, 243 122, India.
Dry matter intake (DMI) determination is essential for effective management of meat goats, especially in optimizing feed utilization and production efficiency. Unfortunately, farmers often face challenges in accurately predicting DMI which leads to wastage of feed and an increase in the cost of production. This investigation aimed to predict DMI in Black Bengal goats by using body weight (BW), body condition score (BCS), average daily gain (ADG), and metabolic body weight (MBW) by applying an artificial neural network (ANN) model.
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January 2025
College of Veterinary Medicine, China Agricultural University, Beijing, China.
Cows with high body condition scores experience more severe negative energy balance (NEB) and undergo mobilization of more body fat during the peripartum period, leading to more production of nonesterified fatty acids (NEFA) and -hydroxybutyric acid (BHBA). Postpartum insulin secretion is lower, and insulin resistance is stronger in obese cows. Exogenous insulin supplementation has been hypothesized as a key approach for regulating NEFA in these cows.
View Article and Find Full Text PDFSci Rep
January 2025
College of Veterinary Medicine and Agriculture, Addis Ababa University, P. O. Box 34, Bishoftu, Ethiopia.
Brucellosis is a bacterial disease of many domestic and wild animals with great economic and public health importance. Although it has a major constraint in dairy production, comprehensive information regarding the epidemiology of brucellosis in dairy herds is limited. Besides, evaluating the dairy farmers' knowledge, attitude, and practice (KAP) regarding brucellosis is crucial for generating information that can enhance control programs and public health interventions.
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Veterinary Embryology Laboratory, Professional School of Veterinary Medicine, Universidad Nacional de San Antonio Abad del Cusco, Sicuani-Cusco, Peru.
Currently, incubators with a time-lapse system are widely used for in vitro embryo production in several species, however, their effect on alpaca embryo development compared to conventional incubators remains unknown. The aim of this study was to compare early in vitro embryo development in alpacas using a time-lapse incubator system versus a conventional incubator. Ovaries were obtained from a slaughterhouse and 1048 cumulus-oocyte complexes (COCs) were collected and in vitro matured for 26 h in either a time-lapse system (n = 542) or a conventional incubator (n = 542).
View Article and Find Full Text PDFJDS Commun
January 2025
Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.
Hock scoring in dairy cattle is a crucial welfare assessment tool used to evaluate the condition of a cow's hocks, particularly for signs of injury, swelling, or lesions. These scores provide insight into the overall well-being of the animals and are essential for ensuring proper management and housing conditions. Accurate hock scoring is vital because it can indicate issues such as poor bedding quality or inadequate space, which directly affect the health and productivity of the herd.
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