ASSESSMENT OF THE ECONOMIC EFFECT OF USING THE BLACK-MOTLEY CATTLE BREED WITH THE ZEBU PEDIGREE IN DAIRY CATTLE BREEDING

Author(s):  
Kh.A. AMERKHANOV ◽  
◽  
N.I. Solovyeva ◽  
N.I. Morozova ◽  
N.N. Karzayeva
Author(s):  
K.ZH. ZHUMANOV ◽  
◽  
T.N. KARYMSAKOV ◽  
M.A. KINEEV ◽  
M.V. TAMAROVSKIY ◽  
...  

According to the current “Instruction” used in dairy cattle selection and breeding in the Republic of Kazakhstan, bulls-producers of dairy breeds are assessed according to the their offspring quality based on the principle of “peer daughter”. This means that the phenotypic indicators of the daughters of the tested bulls are compared with the corresponding indicators of their peers. In European countries with developed dairy cattle breeding, as well as in Canada, the USA, etc., to ensure a reliable forecast of the genetic value of individuals (primarily, bulls-producers), use is made of the best linear unbiased forecast method (BLUP method). This method implies that the breeding value of producers is determined by the deviation values of the development of traits of the examined animal from its average values in the population. Especially urgent area is the research aimed at improving breeding programs, including assessing the breeding value of bulls-producers of dairy breeds using BLUP methods based on the productive qualities of the mass of dairy cattle in the Republic of Kazakhstan. The research material included the data on the phenotypic indicators of the milk productivity of first-calf cows (the amount of milk yield, the content of fat and protein in milk, the yield of milk fat and protein) of the Holstein black-motley dairy cattle breed, obtained from the information and analytical database of the Republic of Kazakhstan for 2016–2017. It was found that when evaluating according to the official “Instruction”, 16 sires out of 256 bulls (6.2%) got the stud category in 2016, 14 sires (9.2%) out of 152 bulls in 2017, and – 30 sires of 249 bulls (12.0%) over the cumulative period. The results of the conducted research prove that the use of the classic “Instructions” in dairy cattle breeding has lower efficiency (by 42.8–90.0%) as compared with the assessment of the breeding value of bulls based on the BLUP method.The selection of sire bulls into breeding groups based on the “peer daughter” methodology is not reliable enough and rather ineffective. Comparing the results of assessing the breeding qualities of sire bulls, obtianed using two methods in all compared periods (2016, 2017, 2016–2017), the authors established a clear superiority of the BLUP method over the current Instruction used in the Republic of Kazakhstan.


2020 ◽  
Vol 3 ◽  
pp. 156-163
Author(s):  
Askar Baymuhanov ◽  
◽  
Galina Guseva ◽  

In terms of transition to loose housing, the issue of herd management is becoming especially acute. The aim of the study is to substantiate the efficiency of milk production using innovative technologies based on 7 model dairy farms containing 100 or more dairy cows. The relevance of the research topic is in the analysis of the effective application of the “Herd Management” system through digital technologies and intensive feeding for raising young animals of various groups. The economic effect of the introduction of innovative technologies in these economic entities is shown, which made it possible to determine the potential for their development, to assess the results of conducting production processes. The authors note the importance for dairy industry of the transfer and adaptation of technologies for automation of technological processes for production of livestock products in dairy cattle breeding in Kazakhstan, which will contribute to the achievement of goals and indicators as part of the implementation of the State Program on Development of the Agroindustrial Complex of the Republic of Kazakhstan for 2017-2021. Examples of model farms, where high financial indicators were obtained on the basis of calculations, are presented. It was revealed that the development of dairy cattle breeding and the increase in productivity of cows largely depends on intensification of forage production, organization of proper care and maintenance of livestock, the breed and quality of raised heifers intended for reproduction. It was determined that in the experimental groups, when optimizing the feed rations of young cattle, the increase in live weight of the studied farm animals increases.


Author(s):  
A. G. Burda ◽  
S. A. Burda

The processes of the development of the information society and the digital economy in the Russian Federation and the Krasnodar Territory are considered, primarily in sectors that are somehow connected with the agrarian-industrial complex and agriculture. The reserves of application of modern information technologies, cybernetic systems in organizations of the agro-food sector of the Russian economy, cybernetic approach to the management of resources of organizations in conditions of digitalization of agriculture are revealed. On the example of the dairy cattle breeding industry, perspective innovative developments based on information processing using computer technology are considered. Based on the analysis of trends in technology development in dairy cattle breeding, changes in information flows are shown that objectively contribute to the use of electronic herd management systems. A brief review of electronic devices that have been used in dairy cattle breeding is given, a scheme of the functioning of decision support systems for dairy herd management is presented. The components of the cumulative economic effect from the use of such electronic herd management systems, including the production of additional products and cost savings, are considered, the calculated structure of the cumulative economic effect is reduced by reducing the duration of the service period and reducing the incidence of animals with mastitis and ketosis. The conclusion is made about the expediency of using the electronic control system for dairy herds in the conditions of digitalization of the economy.


Author(s):  
E.E. Melnikova ◽  
◽  
S.N. Kharitonov ◽  
I.N. Yanchukov ◽  
L.V. Ionova ◽  
...  

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