UDC 636.2.034/57.087

S. Kramarenko,
N. Kuzmichova,
A. Kramarenko

It is noted in the article that two main (latent) factors that determine the shape of the lactation curve can be distinguished on the basis of the Analysis of the Main Component (PCA).
Data on the origin and indices of lactation activity (n = 526) during 1-9 lactations of 113 red red steppe cows that were descendants of 6 pedigree bulls and kept in the ST “Plemreproduktov” steppe (Mykolaiv region, Ukraine) during 2001-2014 pp. was used in the study. In addition, the total hopes for 305 days of lactation (Y305) were used to study the effects of the age and the month of calving of cows on the form of their lactation curves.
High correlations were found between the level of productivity during different months of lactation. The Analysis of the Main Component (PCA), performed on the basis of the correlation matrix of tastes for M1 … M10, proves the possibility of obtaining two new variables (PC1 and PC2) describing about 80% of the variability of the output data. The first main component (PC1) describes 53.0%, while the second (PC2) describes about 26.9% of the variability of the output data, respectively. PC1 had probable and positive correlations with M3 … M9 ranging from 0.658 to 0.938, while PC2 had probable and positive correlations with M2-M3 (0.695 … 0.717), but high and negative with M9-M19 (- 0.673 … -0.661). Thus, PC1 determines the potential level of dairy productivity, while PC2 characterizes the persistence of the lactation curve (the rate of reduction in milk productivity after reaching the peak).
The PC1 had a very high correlation with Y305 (0.958; p & lt; 0.001), while PC2 was uncorrelated with total lactation thirst for 305 days (0.007; p = 0.856). The absence of a correlation between PC2 and Y305 coincides with the suggestion by some authors of the possibility of using persistence as a measure that does not depend on the level of milk productivity.
It has been established that the calving number, age and month of calving of cows are also able to change the standard shape of the lactation curve. The first-breeders had the lowest milk productivity (Y305).
The obtained results indicate that the breeding work was mainly aimed at raising the level of milk productivity, rather than on the correction of the persistence of the lactation curve.

Keyword: lactation curve, persistency, Principle Component Analysis (PCA), dairy cattle.

Modelling of the lactation curves in dairy cattle on the basis of Principal Component Analysis (PCA).

Issue 4 (96), 2017

UDC 636.4.082.25:575.22

S. Lugovoy, PhD (Agr.), Ass. Professor
S. Kramarenko, DSc (Biol.), Ass. Professor
S. Galimov, PhD (Agr.), Ass. Professor
Mykolayiv National Agrarian University

The aim of this study was to analyze the genetic variability and population structure of the Red White Belted breed pigs. Twelve microsatellite loci were selected and belong to the list of microsatellite markers recommended by FAO/ISAG. The number of observed alleles (Na) detected ranged from 4 to 8, with an overall mean of 6.67 and a total of 80 alleles were observed at these loci. The overall means for observed (Ho) and expected (He) heterozygosities were 0.649 and 0.693, respectively. The population effective size (Ne) estimate based on LD-method is 59.2 (95% CI: 36-129) individuals. This population has not undergone any recent and/or sudden reduction in the effective population size and remained at mutation-drift equilibrium.

Key words: genetic polymorphism, microsatellite loci, pigs, the Red White Belted breed.

Genetic polymorphism of the red white belted breed pigs based on microsatellite markers.

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Issue №1 (93), 2017

UDC 636.082/57.087

S. Kramarenko,
O. Potryvaieva

In recent years, in order to estimate farm animals breeding value, more and more attention is paid to the method of BLUP (Best Linear Unbiased Prediction). The essence of this method is using of statistical adjustment for the impact of identifiable factors.
The main purpose of this study is a comparative analysis of various algorithms of linear models to obtain reliable estimates of breeding values (EBV) of animals.
As the material for the study were used zootechnical data for 113 cows of Russian Red Steppe Breed, which were keeping in State Enterprise “Plemreproductor “Stepove” (Mykolayiv region) during the 2001-2014 years. As a dependent variable were used data of the milk yield for 305 days of the first lactation.
As randomized factors was used bull-producer’s genotype. As fixed factors – year of birth, month of calving and season of calving. Finally, as the covariance were used weight in different stages of postnatal growth, exterior measurements and the age of the first effective insemination.
It was established, that the model, which includes the effect of bulls’ genotype, as well as year of cows’ birth, unfortunately, gives unsatisfactory results. Although, when considered separately, both these factors seems to has highly likely impact. So, the assessment proved to be very sensitive to the imbalance in the using of different bulls at different times.
Using exterior indicators makes only an insignificant effect in the adjustment of estimates of breeding value. The most significant effect on the estimates of breeding value of bulls had the weight of cows at the age of first lactation and the age of the first effective insemination – in this case the EBV accuracy increases by almost in a half (from 18.3% to 32.6%).

Key words: estimated breeding value (EBV), Linear models (BLUP), dairy cow.

Estimation of the dairy cow’s breeding values using the linear models (BLUP).

Issue 2(90), Part 2, 2016