ASSESSMENT OF THE NEEDS AND ECONOMIC EFFICIENCY OF PREMIXES, PROTEIN AND VITAMIN SUPPLEMENTS AND MIXED FODDER’S

The article presents statistics on the number of pigs and poultry in Ukraine and Odessa region for 1990-2019 and the results of the calculation of needs for premixes and protein-vitamin supplements (PVS) in Ukraine, and in particular, in Odessa region, the average increase and volumes of compound feed consumption. The main purpose of the calculation is to determine the production potential of premixes and compound feeds in Ukraine and in the region, the cost of compound feeds in poultry farming using different types of premixes and PVS.According to the Main Department of Statistics in Odesa Oblast, the number of pigs has decreased over the past five years, and the number of poultry has increased by 7.3%.The calculation of the need for premixes and PVS is determined by the volume of feed production, the need for which depends on the number of livestock and poultry, data on their average growth and consumption of feed.The method of calculating the number of pigs and poultry (forecast) depending on the needs of the population in livestock food, as well as the results of the forecast of the number of pigs and chickens in Ukraine and Odessa region for 2020-2023, which amounted to 5702, 0 and 173.0 thousand goals, 224.8 and 3.3 million goals, respectively.The calculations taking into account the export-import potential of raw materials showed that in the Odessa region there is a shortage of capacity, namely: P mf forecast = 104819.6 thousand tons.  0, P mf forecast ≥ M year, ie 104819.6  9000.0 thousand tons, so in the Odessa region should provide a feed mill with a capacity of 15 thousand tons per shift in two shifts is appropriate and reasonable. The potential of production and sale of compound feeds in the Odessa region, which is up to 8500 thousand tons of feed, 85 thousand tons of premixes and 2430 thousand tons of PVS, calculated the main producers and consumers of feed products.The estimated economic efficiency of the use of feed enriched with complex premixes, as a result of which it is possible to reduce the cost of obtaining 10 eggs to 280 million UAH. per year, and in the fattening of suckling piglets - zeko-nomity in the production of pork up to 3.15 million UAH.

Hierarchical mixed-model expedites genome-wide longitudinal association analysis

A hierarchical random regression model (Hi-RRM) was extended into a genome-wide association analysis for longitudinal data, which significantly reduced the dimensionality of repeated measurements. The Hi-RRM first modeled the phenotypic trajectory of each individual using a RRM and then associated phenotypic regressions with genetic markers using a multivariate mixed model (mvLMM). By spectral decomposition of genomic relationship and regression covariance matrices, the mvLMM was transformed into a multiple linear regression, which improved computing efficiency while implementing mvLMM associations in efficient mixed-model association expedited (EMMAX). Compared with the existing RRM-based association analyses, the statistical utility of Hi-RRM was demonstrated by simulation experiments. The method proposed here was also applied to find the quantitative trait nucleotides controlling the growth pattern of egg weights in poultry data.

Nationwide Microbiological Baseline Data Collected by Sponge Sampling during 1997 and 1998 for Cattle, Swine, Turkeys, and Geese†

During 1997 and 1998, the U.S. Food Safety and Inspection Service completed nationwide microbiological baseline studies on four separate categories of livestock and poultry. Data were collected by sponge-sampling techniques. These studies were designed to provide nationwide estimates of the prevalence of Salmonella and prevalence and concentrations of Escherichia coli in cattle (n = 1,881), swine (n = 2,127), turkeys (n = 1,396), and geese (n = 102) in establishments under federal inspection. Salmonella prevalence ranged from 1.2% in cattle to 6.9% in swine, 13.7% in geese, and 19.6% in turkeys. The prevalence of E. coli was 16.6% in cattle (geometric mean = 0.26 CFU/cm2), 44.1% in swine (mean = 0.78 CFU/cm2), 92.7% in turkey (mean = 2.46 CFU/cm2), and 96.5% in geese (mean = 1.97 CFU/cm2). These values are similar to or somewhat lower than previous baseline values obtained for steers and heifers, cows and bulls, market hogs, and young turkeys. This study is the first in which nationwide microbiological baseline data have been compiled for geese. These data will be useful to individuals working with hazard analysis critical control point plans and risk assessment and to the research and academic communities.

Issues of Demand Specification and Industry Structure in Turkeys and Broiler Chickens

Factors unique to the turkey industry suggest that conclusions concerning market structure and demand specification drawn from aggregate poultry data cannot necessarily be extrapolated to the turkey industry. The Wu-Hausman endogeneity test is used to examine demand specifications and industry structure specifically for turkey meat. In contrast to general poultry, quantity—not price—is found to be predetermined in demand models that use annual turkey data. Quarterly demand analysis suggests this result stems from biological cycles that limit a producer's ability to react to price change and the use of a weighted average for determining price and quantity.

Variance component estimates and genetic trends in a broiler breeder dam line using animal model methods

Recent developments in computing technology have seen the widespread implementation of animal models for parameter estimation and breeding value prediction in both experimental and commercial breeding programs. These techniques have several benefits over traditional least squares and index methods, including the ability to monitor genetic trends in die absence of an unselected control population. This paper reports heritabilities and genetic trends estimated from a large poultry data set for three broiler traits.

Variance component estimates and genetic trends in a broiler breeder dam line using animal model methods

Recent developments in computing technology have seen the widespread implementation of animal models for parameter estimation and breeding value prediction in both experimental and commercial breeding programs. These techniques have several benefits over traditional least squares and index methods, including the ability to monitor genetic trends in die absence of an unselected control population. This paper reports heritabilities and genetic trends estimated from a large poultry data set for three broiler traits.