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• A growth model to predict body weight and body composition of broilers

  17-24

  Galyna Dukhta

  Jaap van Milgen

  György Kövér

  Veronika Halas

  Views:

  541

  Models predicting the nutrient partitioning and animal performance have been developed for decades. Nowadays, growth models are used in practical animal nutrition, and they have particular importance in precision livestock farming. The aim of the present study was to introduce a broiler model and to provide examples on model application. The model predicts protein and fat deposition as well as the body weight of an individual broiler chicken from digestible nutrient intake over time. Feed intake (FI) and the digestible nutrient content of the feed are inputs as well as some animal factors like: initial BW, feed intake at 1 and 2 kg of BW, precocity and mean protein deposition. The protein and energy metabolism is represented as in the classical nutrient partitioning models. The protein deposition (PD) is driven by digestible amino acid supply and is under “genetic control”, the so-called potential PD limits the actual PD if protein is oversupplied.

  The authors discuss how the model can be used to simulate the animal response upon different scenarios. Examples are given to show that the diet might be limiting if some animal trait is changed. Applicability of the model has shown through running the model by using different feed strategies (three- vs five-phase-feeding) and variations with animal factors. In conclusion, growth models are useful tools to support decision making for defining the most suitable feeds used in a broiler farm. The model presented in this paper shows a high sensibility and flexibility to test different scenarios. By challenging the model with different inputs, the animal response in terms of changes in body weight and feed conversion can be understood more by studying the shift in deposition of chemical constituents. The examples provided in the present paper shows the benefit of using mathematical models and their applicability in precision nutrition. It can be concluded that the growth model helps to apply “from desired feed to desired food” concept.

• Genetic and phenotypic basis of goat adaptability across agro-ecological zones: Implications for breeding and conservation

  51-58

  Nelly Kichamu

  Putri Kusuma Astuti

  Szilvia Kusza

  Views:

  63

  Goats are among the most adaptable livestock species that can survive in varied agro-ecological zones globally. This resilience is shaped by the interactions between genetic and phenotypic traits. This review assesses the available information on morphology, physiology, and molecular characteristics that enable them to adapt and their implication for breeding and conservation. Phenotypic characteristics, including variation in coat color, the type and density of hair, body size, skin color, and thermoregulation behavior, were observed to be measures of adaptation to heat, cold, and feed scarcity. The review also observed some key candidate genes at the molecular level, including HSP70, EPAS1, FGF5, and MC1R, among others, with pathways that are responsible for heat tolerance, hypoxia response, and metabolic efficiency. The link between environmental pressures and phenotypic variation is examined as a driver for genetic differentiation among local goat populations. Incorporating these phenotypic and genetic insights forms a basis for breeding strategies that are climate-resilient and for safeguarding adaptive genetic resources. This will ensure that goats stay productive and diverse over time, thereby contributing to food security and the current climate change.

• Development of LEADER in Hungary

  37-40

  Szilárd Jávor

  Views:

  224

  The development of the Hungarian LEADER programme was organised by the Institute of Rural development, Training and Consultancy under the control of the Ministry of Rural Development. Starting the programme without earlier experiences, lead to problems, but these were solved by the efficient work of the organizing institutions. The changing European economical situation makes it necessary to review and update the Local Development Strategies along with opening the programme again. This makes the programme work more effectively with every new turn. Continusing LEADER in Hungary after 2013, by using the hungarian and Western European knowledge, can bring economical and social benefits for rural areas and for the whole nation as well.

• The Poultry Industry through the Experts’ Eyes

  39-42

  Edina Lendvai

  Views:

  213

  In my study reveal the situation of the poultry industry. In my research, I used the regularly adopted qualitative method, i.e. the interview. I conversed with the managers of the most important poultry factories, and asked them about the position of the Hungarian poultry sector, the possibility of improving its position, the changes in consumer behaviour, in marketing strategies, means and methods.
  The managers talked about the necessity of collaborating between factories. They agreed on the dominance of commercial chains. In their opinion, these prejudice their chances. They emphasized about the increasing role of processed products and the growing number of sell-stimulated marketing means. The consumer behaviour has changed in the last 10 years too, which helps the market of processed poultry products.

• Upgrading breeding value estimation in beef cattle

  451-458

  Ferenc Szabó

  Márton Szűcs

  Károly Tempfli

  Berry Donagh

  Views:

  397

  This paper gives a summary of the possibility for applying genomic information for breeding value estimation in beef cattle breeding. This process is called genomic prediction and is now widely used in dairy cattle globally as well as in some beef and sheep populations. The advantage of genomic prediction is a more accurate estimate of the genetic merit of an individual at a young age thereby facilitating greater annual genetic gain, predominantly through shorter generation intervals. Genomic predictions are more advantageous for sex-linked (e.g., milk yield), low heritability (e.g., fertility) and difficult-to-measure (e.g., feed intake) traits. The larger the reference population, on average, the more accurate the genomic predictions; additionally, the closer genetically the reference population is to the candidate population, the greater the accuracy of genomic predictions. Research is continuing on strategies to generate accurate genomic predictions using a reference population consisting of multiple breeds (and crossbred). Retrospective analysis of real-life data where genomic predictions have been operation for several years clearly shows a benefit of this technology.