The yield of washed fiber and performance indicators in young rams of the taurian type askanian fine fleece breed

Under market conditions, the increase in wool and lamb production should not only increase the livestock number, but also increase its productivity. The significant reserve is also to improve the quality of raw materials produced. The aim of the research was to identify the features of wool and meat productivity in young rams of the Taurian type Askanian fine fleece breed the taking into account an in-depth assessment of the washed fiber yield and subsequent use of the obtained data in the selection-breeding work with sheep. The young rams of the Taurian type Askanian fine fleece breed were used for research. The formed groups were characterized by low, medium and high yield of washed fiber. The results of the studies showed an advantage in all research parameters in young rams with an average yield of washed fiber. Therefore, it is proposed to direct the selection-breeding work to improve live weight and physical and mechanical properties of wool in young rams with high yields of washed fiber (more than 60.1%), which will allow to obtain more profits not only from the wool sale but from the sale of mutton, and to reject lambs with a low washed fiber yield to prevent the transmission of this trait to their offspring.

TO THE 85TH ANNIVERSARY FROM BIRTHDAY DOCTOR OF AGRICULTURAL SCIENCE PROFESSOR BORYS YEVHENOVYCH PODOBA BORYS YEVHENOVYCH PODOBA – A RECOGNIZED AUTHORITY ON AGRICULTURAL ANIMAL GENETIC

Borys Yevhenovych Podoba, a well-known scientist, chief researcher of the laboratory of information systems of the Institute of Animal Breeding and Genetics nd. a.M.V.Zubets of NAAS is celebrating his 85th birthday. Borys Podoba was born on April 28, 1936 in Chernigov. In 1959 he graduated from the agronomic faculty of the Ukrainian Academy of Agricultural Sciences. In 1959–1968 he worked at the Ukrainian Research Institute of Poultry, where in 1966 he defended his Ph. D. thesis on the topic "The use of heterosis in duck breeding." In 1968 he began working at the Scientific Research Institute of Animal Husbandry of the Forest-Steppe and Polesye of the Ukrainian SSR, where he worked as a senior researcher, and since 1976 – as the head of the laboratory of genetics. In 1976 he was awarded the academic title of senior research fellow with a degree in breeding and selection of farm animals. Since 1978, B. Ye. Podoba has been working at the Institute of Animal Breeding and Genetics as a senior researcher, then as head of the laboratory for the genetic foundations of breeding. In 1997 he defended his doctoral dissertation "The use of polymorphism of erythrocyte antigens for assessing breeding resources, increasing the genetic potential and preserving the gene pool of cattle", by the specialty "genetics". Borys Yevhenovych Podoba developed the theory and methods of using blood groups in the genetic monitoring system when creating and improving breeds, preserving biodiversity in animal husbandry in Ukraine, and made a significant contribution to the organization and improvement of the immunogenetic service of Ukraine. One of the directions of his scientific work was the combination of immunogenetic methods with breeding aspects of the individual development of animals. This work connects the generations of breeders G. F. Podoba on the methodological approaches of selection breeding of breeding young cattle used in the creation of a herd of Mining Schwyz, and E. G. Podoba on the principles of selection to improve the efficiency of feed use by farm animals. All years of scientific activity, B. Ye. Podoba has been an active member, first of the All-Union and then the Ukrainian Society of Geneticists and Breeders nd. a. N. I. Vavilov. In 2015 he received the title of degree professor in genetics. The results of B. Ye. Podoba's scientific research are presented in more than 300 scientific works published by him, including 9 monographs, 11 scientific articles in foreign publications, more than 20 recommendations and breeding programs, 7 patents and copyright certificates on genetics, selection, breeding, preservation of the genepool and biodiversity of farm animals, which have become a significant contribution to the treasury of Ukrainian science. The staff of the Institute congratulates the esteemed professor Borys Yevhenovych Podoba and wishes him good health and creative longevity!

DEPENDENCE OF MILK YIELD OF COWS OF SIMMENTAL BREED ON UDDER FORMS

In the research, it was determined that the milk yield of cows from abroad of Simmental breed depends on the udder forms in the conditions of Uzbekistan.. Milk production type with The Shape of the pelvic udder it has been noted that cows have achieved a significant advantage in milk yield from cows with The Shape of a cup and round udder. It was noted that the selection-breeding work on the udder forms of cows in the breeding of cattle of Simmental breeds is an important factor in the creation of high-yielding dairy herds. Also, the udder index of cows of Group I of the type of milk production and the milk yield rate were higher than that of cows in groups II and III, these data indicate that the udder of cows of Group I was developed proportionally and was well adapted to modern milking equipment.

Optimized grouping to increase accuracy of prediction of breeding values based on group records in genomic selection breeding programs

Background Phenotypic records of group means or group sums are a good alternative to individual records for some difficult to measure, but economically important traits such as feed efficiency or egg production. Accuracy of predicted breeding values based on group records increases with increasing relationships between group members. The classical way to form groups with more closely-related animals is based on pedigree information. When genotyping information is available before phenotyping, its use to form groups may further increase the accuracy of prediction from group records. This study analyzed two grouping methods based on genomic information: (1) unsupervised clustering implemented in the STRUCTURE software and (2) supervised clustering that models genomic relationships. Results Using genomic best linear unbiased prediction (GBLUP) models, estimates of the genetic variance based on group records were consistent with those based on individual records. When genomic information was available to constitute the groups, genomic relationship coefficients between group members were higher than when random grouping of paternal half-sibs and of full-sibs was applied. Grouping methods that are based on genomic information resulted in higher accuracy of genomic estimated breeding values (GEBV) prediction compared to random grouping. The increase was ~ 1.5% for full-sibs and ~ 11.5% for paternal half-sibs. In addition, grouping methods that are based on genomic information led to lower coancestry coefficients between the top animals ranked by GEBV. Of the two proposed methods, supervised clustering was superior in terms of accuracy, computation requirements and applicability. By adding surplus genotyped offspring (more genotyped offspring than required to fill the groups), the advantage of supervised clustering increased by up to 4.5% compared to random grouping of full-sibs, and by 14.7% compared to random grouping of paternal half-sibs. This advantage also increased with increasing family sizes or decreasing genome sizes. Conclusions The use of genotyping information for grouping animals increases the accuracy of selection when phenotypic group records are used in genomic selection breeding programs.