اخبار و اعلانات

 آمار

تعداد نشریات286
تعداد نشریات سازمان84
تعداد شماره‌ها2,913
تعداد مقالات32,858
تعداد مشاهده مقاله43,215,160
تعداد دریافت فایل اصل مقاله19,732,917
Abugaliev, Serimbek, Bupebayeva, L, Kulbayev, R, Baisabyrova, A. (1400). Introduction of the Modern Methods of Assessing the Breeding Value of Cows in the Selection of Dairy Cattle in the Republic of Kazakhstan. سامانه مدیریت نشریات علمی, 76(6), 1715-1726. doi: 10.22092/ari.2021.356236.1810
Serimbek Abugaliev; L Bupebayeva; R Kulbayev; A Baisabyrova. "Introduction of the Modern Methods of Assessing the Breeding Value of Cows in the Selection of Dairy Cattle in the Republic of Kazakhstan". سامانه مدیریت نشریات علمی, 76, 6, 1400, 1715-1726. doi: 10.22092/ari.2021.356236.1810
Abugaliev, Serimbek, Bupebayeva, L, Kulbayev, R, Baisabyrova, A. (1400). 'Introduction of the Modern Methods of Assessing the Breeding Value of Cows in the Selection of Dairy Cattle in the Republic of Kazakhstan', سامانه مدیریت نشریات علمی, 76(6), pp. 1715-1726. doi: 10.22092/ari.2021.356236.1810
Abugaliev, Serimbek, Bupebayeva, L, Kulbayev, R, Baisabyrova, A. Introduction of the Modern Methods of Assessing the Breeding Value of Cows in the Selection of Dairy Cattle in the Republic of Kazakhstan. سامانه مدیریت نشریات علمی, 1400; 76(6): 1715-1726. doi: 10.22092/ari.2021.356236.1810

Introduction of the Modern Methods of Assessing the Breeding Value of Cows in the Selection of Dairy Cattle in the Republic of Kazakhstan

Archives of Razi Institute
مقاله 17، دوره 76، شماره 6، بهمن و اسفند 2021، صفحه 1715-1726    اصل مقاله (957.65 K)
نوع مقاله: Original Articles
شناسه دیجیتال (DOI): 10.22092/ari.2021.356236.1810
نویسندگان
Serimbek Abugaliev* 1؛ L Bupebayeva2؛ R Kulbayev3؛ A Baisabyrova2
1LLP “Kazakh Scientific Research Institute of Animal Breeding and Feed Production,” 51 Jandosov str., Almaty, the Republic of Kazakhstan 2 Kazakh National Agrarian University, 8 Abay Ave., Almaty, 050100, the Republic of Kazakhstan
2Kazakh National Agrarian University, 8 Abay Ave., Almaty, 050100, the Republic of Kazakhstan
3West Kazakhstan Agricultural and Technical University named after Zhangir Khan, 51 Zhangir khan str., Uralsk, 090000, the Republic of Kazakhstan
چکیده
On the genetic improvement of animals, the need for decision-making takes place at the strategic, tactical, and operational levels. At the strategic level, this means defining a breeding goal, selecting a breeding system (selection or crossbreeding), as well as crossbreeding patterns, breeds, and lines. The current study aimed to analyze the breeding and genetic parameters of the dairy cattle in the Republic of Kazakhstan and introduce modern methods for assessing the breeding value of domestic and imported breeds of dairy cows. Research data were collected from primary zootechnical and breeding accounting (from the information and analytical system [IAS]), as well as experimental studies, visual assessment, measurements, and control milking of animals. In addition, biochemical studies of milk were conducted in this study. All animals were in the same conditions of feeding. The average milk yield per cow was 5,712±97 kg, with an average fat content of 3.83±0.02%, protein content of 3.28±0.01%, with the content of 339.6±54 thousand somatic cells. However, these data are obtained based on quarterly quality indicators of milk (fat content, protein, and the number of somatic cells), which raises doubts about the reliability of the results. It was found that the average index of the total estimated breeding value (EBV) for all breeds was 81. Among all breeds, the highest EBV was estimated at 84 in the Holstein cows (imported to the country).
کلیدواژه‌ها
Breeding process management system؛ Control milking؛ Exterior؛ Index estimation of breeding value؛ Milk yield for lactation
سایر فایل های مرتبط با مقاله
مراجع
  1. Alimzhanov BO, Alimzhanova LV, Bostanova SK, Sheiko YN, Isabekova SA. Milk productivity and natural resistance of Holstein-breed Heifers of own generation. Biol Med. 2016;8(2):1.
  2. Balkibayeva A, Aidynov Z, Orazbayeva A, Sheiko Y, Aikupesheva D. Measuring Dairy Farm Efficiency in the Republic of Kazakhstan. J Environ Manag Tour. 2018;9(5 (29)):967-78.
  3. Madhusoodan AP, Sejian V, Rashamol VP, Savitha ST, Bagath M, Krishnan G, et al. Resilient capacity of cattle to environmental challenges–An updated review. J Anim Behav Biometeorol. 2020;7(3):104-18.
  4. Rahbar R, Abdullahpour R, Sadeghi-Sefidmazgi A. Effect of calf birth weight on milk production of Holstein dairy cattle in desert climate. J Anim Behav Biometeorol. 2020;4(3):65-70.
  5. Abugaliev S, Shamshidin A, Rodionov G, Baymukanov D, Islamov E. Dairy Productivity Of Holstein Cows In Different Regions Of Kazakhstan. Вестник Мичуринского государственного аграрного университета. 2018;4:2018136.
  6. Seidaliyev N, Dalibayev E, Zhamalov B, Muka Sh B. Monitoring data of the existing system of organization of the selective process in the dairy cattle breeding of the Republic of Kazakhstan. News of the National academy of sciences of the Republic of Kazakhstan: Series of Agricultural Sciences. 2018:81-6.
  7. Zuev A, Osadchaya OY. Problems and solutions for creating highly productive dairy herds. Russ. 2006:265.
  8. Bekseitov T, Abeldinov R, Mukatayeva ZM. Study on the acclimatization qualities of imported cattle in the Republic of Kazakhstan. Arch Zootech. 2016;19(1).
  9. Zaton-Dobrowolska M, Čítek J, Filistowicz A, Řehout V, Szulc T. Genetic distance between the Polish Red, Czech Red and German Red cattle estimated based on selected loci of protein coding genes and DNA microsatellite sequences. Anim Sci Pap Rep. 2007;25(1):45-54.
  10. Dekkers JC, Hospital F. The use of molecular genetics in the improvement of agricultural populations. Nat Rev Genet. 2002;3(1):22-32.
  11. Meuwissen T, Hayes B, Goddard M. Genomic selection: A paradigm shift in animal breeding. Anim Front. 2016;6(1):6-14.
  12. Berry DP, Coffey MP, Pryce J, De Haas Y, Løvendahl P, Krattenmacher N, et al. International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources. Int J Dairy Sci. 2014;97(6):3894-905.
  13. Glick G, Shirak A, Uliel S, Zeron Y, Ezra E, Seroussi E, et al. Signatures of contemporary selection in the I sraeli H olstein dairy cattle. Anim Genet. 2012;43:45-55.
  14. Habier D, Fernando RL, Dekkers JC. Genomic selection using low-density marker panels. Genetics. 2009;182(1):343-53.
  15. Lyashuk A. The influences of certain factors of organic milk production on cow productivity. Вестник аграрной науки. 2018;6(75).
  16. Roman L, Sidashova S, Danchuk O, Popova I, Levchenko A, Chornyi V, et al. Functional asymmetry in cattle ovaries and donor-recipients embryo. Ukr J Ecol. 2020;10(3).
  17. Bakker H. Cow indexing in herd improvement. Int J Livest. 1977;18:11-2.
  18. Erbe M, Hayes B, Matukumalli L, Goswami S, Bowman P, Reich C, et al. Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels. Int J Dairy Sci. 2012;95(7):4114-29.
  19. Veerkamp R, Beerda B. Genetics and genomics to improve fertility in high producing dairy cows. Theriogenology. 2007;68:S266-S73.
  20. Hedrick P. Genetics of populations: Jones & Bartlett Learning; 2011.
  21. Abugaliyev S, Seidaliyev N, Dalibayev E, Zhamalov B, Muka Sh B. Procedure of custom mating and genomic analysis of bull-calves in dairy cattle breeding. Reports of the National academy of sciences of the Republic of Kazakhstan. 2018:2224-5227.
  22. Bissembayev A, Shamshidin A, Nassambaev E, Seitmuratov A, Kasenov J, Abylgazinova A, et al. Kazakhstan beef cattle indices. Int J Emerg Technol. 2020;11(1):438-46.
  23. Epstein D, Brock GJ, Ogloblin C, editors. Russian Farm Performance in the Leningrad Region, 1995-1998. Proceedings of the Pennsylvania Economics Association Conference; 2003.
  1. Oltenacu PA, Broom DM. The impact of genetic selection for increased milk yield on the welfare of dairy cows. Anim Welf. 2010;19(1):39-49.
  2. Přibyl J, Madsen P, Bauer J, Přibylová J, Šimečková M, Vostrý L, et al. Contribution of domestic production records, Interbull estimated breeding values, and single nucleotide polymorphism genetic markers to the single-step genomic evaluation of milk production. J Dairy Sci. 2013;96(3):1865-73.
  3. Nei M. F-statistics and the analysis of gene diversity in subdivided populations. Ann Hum Genet. 1977;41:225-33.
  4. Asylbekovich BD, Kurmanbaiuly AS, Beskempirovich SN, Erbosynovich CA, Kurmanbaevich DE, Seydakhanuly ZB, et al. Productivity and estimated breeding value of the dairy cattle gene pool in the Republic of Kazakhstan. Научный журнал «Вестник НАН РК». 2019;(2):14-27.
  5. Kovshov V, Lukyanova M, Galin Z, Faizov N, Frolova O. Methodology of strategic planning of socio-economic development of the agricultural sector of the region. Montenegrin J Econ. 2019;15(3):179-88.
  6. Ryzhova LI, Nikolaeva LV, Kurochkina N, Lebedeva ME. Optimization of methods and systems for strategic and operational management accounting in agricultural enterprises. Rev Eur Stud. 2015;7:119.
آمار
تعداد مشاهده مقاله: 14,804
تعداد دریافت فایل اصل مقاله: 383


counter
سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب