اخبار و اعلانات

 آمار

تعداد نشریات286
تعداد نشریات سازمان84
تعداد شماره‌ها2,932
تعداد مقالات33,084
تعداد مشاهده مقاله43,732,422
تعداد دریافت فایل اصل مقاله20,244,027
Islamov, E. I, Kulmanova, G. A, Kulataev, B. T, Bekbaeva, D. N, Zhumanova, A. S. (1400). Enhancement of the Reliability of Animal Genotyping Regarding the Betterment of Wool Productivity in South-Kazakh Merino Sheep in Kazakhstan. سامانه مدیریت نشریات علمی, 76(6), 1703-1714. doi: 10.22092/ari.2021.356235.1809
E. I Islamov; G. A Kulmanova; B. T Kulataev; D. N Bekbaeva; A. S Zhumanova. "Enhancement of the Reliability of Animal Genotyping Regarding the Betterment of Wool Productivity in South-Kazakh Merino Sheep in Kazakhstan". سامانه مدیریت نشریات علمی, 76, 6, 1400, 1703-1714. doi: 10.22092/ari.2021.356235.1809
Islamov, E. I, Kulmanova, G. A, Kulataev, B. T, Bekbaeva, D. N, Zhumanova, A. S. (1400). 'Enhancement of the Reliability of Animal Genotyping Regarding the Betterment of Wool Productivity in South-Kazakh Merino Sheep in Kazakhstan', سامانه مدیریت نشریات علمی, 76(6), pp. 1703-1714. doi: 10.22092/ari.2021.356235.1809
Islamov, E. I, Kulmanova, G. A, Kulataev, B. T, Bekbaeva, D. N, Zhumanova, A. S. Enhancement of the Reliability of Animal Genotyping Regarding the Betterment of Wool Productivity in South-Kazakh Merino Sheep in Kazakhstan. سامانه مدیریت نشریات علمی, 1400; 76(6): 1703-1714. doi: 10.22092/ari.2021.356235.1809

Enhancement of the Reliability of Animal Genotyping Regarding the Betterment of Wool Productivity in South-Kazakh Merino Sheep in Kazakhstan

Archives of Razi Institute
مقاله 16، دوره 76، شماره 6، بهمن و اسفند 2021، صفحه 1703-1714    اصل مقاله (593.1 K)
نوع مقاله: Original Articles
شناسه دیجیتال (DOI): 10.22092/ari.2021.356235.1809
نویسندگان
E. I Islamov؛ G. A Kulmanova* ؛ B. T Kulataev؛ D. N Bekbaeva؛ A. S Zhumanova
Kazakh National Agrarian University, Almaty, Kazakhstan
چکیده
Enhancement of the production and productivity in animals is possible by improving the environment and changing the genetic structure of the herd which is done through selection. The present study aimed to investigate the efficiency of using genetic resources in the population of South-Kazakh merino sheep breed to improve and enhance the quality of wool productivity by determining a combination of phenotypic traits, morphobic and chemical parameters, as well as immunogenetic factors. Wool productivity was studied and accounted for by cutting each animal's wool during the period of shearing with an accuracy of 0.1 kg. At the age of 14 months, samples of wool were taken from 10 ewes of each group to study the yield of pure wool using physical and technological indicators. The value of reproducibility coefficients was determined by conducting correlation analysis. The value was estimated from 0.439 to 0.871 and 0.331 to 0.776 for the live weight and wool cutting, respectively. The number of woolens per 1 mm2 of skin positively correlated with pure wool cutting (0.276±0.135) and woolliness factor (0.293±0.134), while it negatively correlated with the live weight of sheep (-0.055±0.140), staple length (-0.146±0.139), and toner wool (-0.180±0.138). This negative correlation implies that the most densely woolly sheep will not necessarily have a breeding advantage for the herd improvement on a combination of signs. However, the outstanding wool density as a separate indicator of sheep woolen productivity has a great breeding advantage; therefore, in the merino population, it is necessary to create a small factory line of sheep with a very large wool density. A variety of sheep productivity indices in each age had a high correlation with a variety of maximum productivity levels of animals bred in the conditions of "Batay-Shu" LLP.
کلیدواژه‌ها
Fiber yield؛ Homeostatic system؛ Staple length؛ Wool
سایر فایل های مرتبط با مقاله
مراجع
  1. Godfray HCJ, Beddington JR, Crute IR, Haddad L, Lawrence D, Muir JF, et al. Food security: the challenge of feeding 9 billion people. Science. 2010;327(5967):812-8.
  2. Dadashpour Davachi N, Bartlewski PM, Masoudi R, Ahmadi B, Didarkhah M. Induction of ovulation after artificial insemination in rabbits: Intramuscular injection of gonadotropin-releasing hormone (GnRH) agonist vs. intravenous administration of mated doe serum. Iran J Vet Med. 2021.
  3. McMichael AJ, Powles JW, Butler CD, Uauy R. Food, livestock production, energy, climate change, and health. Lancet. 2007;370(9594):1253-63.
  4. Oltenacu PA, Algers B. Selection for increased production and the welfare of dairy cows: are new breeding goals needed? AMBIO. 2005;34(4):311-5.
  5. McManus C, Paiva SR, Araújo ROd. Genetics and breeding of sheep in Brazil. Rev Bras Zootec. 2010;39:236-46.
  6. Visscher P, Pong-Wong R, Whittemore C, Haley C. Impact of biotechnology on (cross) breeding programmes in pigs. Livest Prod Sci. 2000;65(1-2):57-70.
  7. Williams CG, Savolainen O. Inbreeding depression in conifers: implications for breeding strategy. For Sci. 1996;42(1):102-17.
  8. Zhumagaliyeva G, Kulatayev B. Productive and reproductive qualities of sheep of the Kazakh fine-wool breed. Izvestiâ Nacionalʹnoj akademii nauk Respubliki Kazahstan. 2018;6(48):81-6.
  9. Islamov E, Kulmanova G, Kulataev B, Bekbaeva D, Zhumanova A. Increasing the reliability of animal genotype estimation in the process of woolen qualities improvement in South-Kazakh merino sheep divorceable in the conditions of Batay-Shu LLP in Zhambyl oblast. Eur Asian J BioSci. 2020;14(2).
  10. Kostesha N, Laman A, Shepelyakovskaya A, Zaitseva I, Orlov V, Dykman L, et al. Selection and characterization of phage miniantibodies to actins of different origin. Biochemistry. 2005;70(8):884-9.
  11. Pourlis AF. A review of morphological characteristics relating to the production and reproduction of fat-tailed sheep breeds. Trop Anim Health Prod. 2011;43(7):1267-87.
  12. Dalvit C, Sacca E, Cassandro M, Gervaso M, Pastore E, Piasentier E. Genetic diversity and variability in Alpine sheep breeds. Small Rumin Res. 2008;80(1-3):45-51.
  13. Peter C, Bruford M, Perez T, Dalamitra S, Hewitt G, Erhardt G, et al. Genetic diversity and subdivision of 57 European and Middle‐Eastern sheep breeds. Anim Gen. 2007;38(1):37-44.
  14. Hazard D, Bouix J, Chassier M, Delval E, Foulquie D, Fassier T, et al. Genotype by environment interactions for behavioral reactivity in sheep. J Anim Sci. 2016;94(4):1459-71.
  15. Steinheim G, Ødegard J, Adnøy T, Klemetsdal G. Genotype by environment interaction for lamb weaning weight in two Norwegian sheep breeds. J Anim Sci. 2008;86(1):33-9.
  16. Salinas-Rios T, Hernández-Bautista J, Mariscal-Méndez A, Aquino-Cleto M, Martínez-Martínez A, Rodríguez-Magadán HM. Genetic Characterization of a Sheep Population in Oaxaca, Mexico: The Chocholteca Creole. Animals. 2021;11(4):1172.
  17. Jávor A, Huszenicza G, Czeglédi L, Árnyasi M, Oláh J, Szabó S, et al. Molecular genetics methods, as tool of sheep breeding. J Anim Sci Biotechnol. 2007;40(1):117-30.
  18. Hynd P, editor Recent advances in the use of molecular genetics for the improvement of sheep. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006; Instituto Prociência.
  19. Wang Y, Wang S, Luo Y. Advances in Molecular Genetics Research of the Origin and Domestication of Domestic Sheep. Biotechnol J. 2013;(12):15.
  20. Göncü S, Güngör C. The Innovative Techniques in Animal Husbandry. Anim Husb Nut. 2018;1.
  21. Ibrayev D, Shauyenov S, Islamov Y, Narbayev S. Adaptation of crossbred young sheep of Kazakh meat-wool half-fine breed to conditions of Chu-Ili's low mountains and Moin-Kum's sands. Biol Med. 2015;7(3):1.
  22. Islamov Y, Kulmanova G, editors. Condition and prospects of sheep breeding development in kazakhstan. 12 th international symposium modern trends in livestock production, Belgrade, Serbia; 2019.
  23. Makhatov B, Kazakh N, Seyitpan K, Kazakh N, Kulataev B, Kazakh N, editors. Improving the gene pool of modern sheep and goats breeds in Kazakhstan. The collection of proceedings SNIIZHK Collection of scientific papers based on international coordination congress of scientists-sheep breeders; 2013: Stavropol Research Institute of animal husbandry and food production.
  24. Islamov EI, Kulmanova GA, Kulataev BT, Zhumanova AI. Genetic Basis for Improving the Reproductive Qualities and Productivity of South-Kazakh Merinoes. J Arch Razi Inst. 2021.
  1. Iskakov KA, Kulatayev BT, Zhumagaliyeva GM, Pares CP. Productive and biological features of Kazakh fine-wool sheep in the conditions of the almaty regionOnline. J Biol Sci. 2017;17(3):219-25.
  2. Zhumagaliyeva GM, Shynybayev DS, Kulataev BT, Akimzhan N. Early preliminary assessment of breeding qualities of South Kazakh Merino sheep breed. Glob Vet. 2014;13(4):462-6.
  3. Dehnavi E, Ahani Azari M, Hasani S, Nassiry MR, Mohajer M, Khan Ahmadi A, et al. Polymorphism of myostatin gene in intron 1 and 2 and exon 3, and their associations with yearling weight, using PCR-RFLP and PCR-SSCP techniques in Zel sheep. Biotechnol Res Int. 2012;2012.
  4. Dossybayev K, Mussayeva A, Bekmanov B, Kulataev B. Analysis of Genetic Diversity in three Kazakh Sheep using 12 Microsatellites. Int J Eng Technol. 2018;7(4.38):122-4.
  5. Li X, Ekerljung M, Lundström K, Lundén A. Association of polymorphisms at DGAT1, leptin, SCD1, CAPN1 and CAST genes with color, marbling and water holding capacity in meat from beef cattle populations in Sweden. Meat Sci. 2013;94(2):153-8.
  6. Scheffler TL, Park S, Gerrard DE. Lessons to learn about postmortem metabolism using the AMPKγ3R200Q mutation in the pig. Meat Sci. 2011;89(3):244-50.
 

آمار
تعداد مشاهده مقاله: 14,562
تعداد دریافت فایل اصل مقاله: 407


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