GENETIC DIVERSITY AND PRODUCTIVE PERFORMANCE IN LOCAL AND IMPORTED IRAQI COWS USING MICROSATELLITE MARKERS
DOI:
https://doi.org/10.36103/ijas.v54i6.1854Keywords:
restaki cows , janoubi cows , CSSM66 , milk yield.Abstract
The study was conducted us to identify the genetic features of the microsatellite markers CSSM66 and ETH10 and ILSTS34 and their relationship to genetic diversity and productive performance this study was carried out using 100 cows of five breeds presented in Iraq ; Restaki (n=10) , Janoubi (n=10) , Sharabi (n=10) , (local), Holstein (n=50) and male Brahman (n=20) (imported).The results showed the presence of a very high diversity and a highly significant difference in a sample of studied cows in the allele distribution ratios for the three markers, the results showed a significant effect (P≤0.05) superiority of the genotype LY within the ETH10 marker in the least number of inseminatons required for fertilization of Restaki cows, namely 1.16 insemination, and the genotype GP and AB within ETH10 and CSSM66 markers, respectively, recorded the highest total average milk yield with a significant value (P≤0.05) for Holstein cows, reached 1.44 . The CC genotype within markers CSSM66 had the highest mean total weight with an average of 502.75 among Brahman bulls. Therefore, microsatellites markers contributed to the mapping of quantitative traits in the studied cows
References
Ali, E. H. 2016. Measurring cow farms efficiency by using the quality response. Iraqi Journal of Agricultural Sciences, 47(2),600-611. https://doi.org/10.36103/ijas.v47i2.606
Alkudsi, N. H., and A.W., Shaker, .2017. The relationship of lactoferrin gene with milk production and its component in holstein cow. Iraqi Journal of Agricultural Sciences, 48(1):375-381. https://doi.org/10.36103/ijas.v48i1.457
Alluwaimi, A. M., and J.S., Cullor, .2002. Cytokines gene expression patterns of bovine milk during middle and late stages of lactation. J. Vet. Med. B Infect. Dis. Vet. Public Health 49, 105–110. doi: 10.1046/j.1439-0450.2002.00515.x
Abdulkareem, T. A. and A. J. A. Al-Saedi 2022. Comparison of semen quality for three lines of holstein bulls: 1. some immediate and microscopic characteristics. Iraqi Journal of Agricultural Sciences, 53(4),752-759. https://doi.org/10.36103/ijas.v53i4.1585
Abdulkareem, T. A., S. M. Eidanm F. K. Al-Saidy and N. K. Al-Hassani. 2023. Effect of pre- and post-mating vitamins ad3e treatment on reproductive performance of awassi ewes. Iraqi Journal of Agricultural Sciences, 54(2),431-437. https://doi.org/10.36103/ijas.v54i2.1717
Arun, S. J., P.C.,Thomson, P. A., Sheehy, M. S., Khatkar, H. W., Raadsma, and P., Williamson,. 2015. Targeted analysis reveals an important role of JAK-STAT-SOCS genes for milk production traits in Australian dairy cattle. Frontiers In Genetics, 6, 342
Barendse, W.,D., Vaiman, S.J., Kemp, Y., Sugimoto, S.M., Armitage, J.L., Williams, and P., Zaragoza, .1997. A medium-density genetic linkage map of the bovine genome. Mammalian Genome, 8(1), 21-28
Brenig, B., and E., Schütz, 2016. Recent development of allele frequencies and exclusion probabilities of microsatellites used for parentage control in the German Holstein Friesian cattle population. BMC Genetics, 17(1): 1-9
Brezinsky, L.;S.J., Kemp, A.J.; Teale,.1993. Ilsts005—A Polymorphic Bovine Microsatellite. Anim. Genet. . 24, 73.
Chu M.X.,G.L Zhou H.G., Jin W.H., Shi F.C., Cao and I., Fang .2005. Study on relationships between seven microsatellite loci and somatic cell score in Beijing Holstein cows. Yi Chuan Xue Bao. 32(5), 471-1.475
DeAtley, K. L.,G., Rincon, C.R., Farber, J. F., Medrano, P., Luna-Nevarez, R.M., Enns, and M,G., Thomas, .2011. Genetic analyses involving microsatellite ETH10 genotypes on bovine chromosome 5 and performance trait measures in Angus-and Brahman-influenced cattle. J of Anim Sci, 89(7): 2031-2041
Duncan, D.B. 1955. Multiple Rang and Multiple F-test. Biometrics. 11:1-42
Eggen A.,D., Steinbach, R., Fries, and H. Leveziel, .1994. Proc. XXIV Internat. Conf. Anim. Genet. Prague, Czech Republic. PP: 111
Eidan, S. M. and S. A. Khudhir. 2023. Association between atp1a1 gene polymorphisms with semen characteristics in holstein bulls. Iraqi Journal of Agricultural Sciences, 54(2),330-337. https://doi.org/10.36103/ijas.v54i2.1706
Farber, C. R., and J. F. Medrano. 2003. Putative in silico mapping of DNA sequences to livestock genome maps using SSLP flanking sequences. Anim. Genet. 34:11–18
Hago Abdelwahid, H.,M.P., Jothi SK.S., Reuben and Y. Halimatun,. 2019. Evaluation of genetic variability in Brahman cattle breed in Malaysia using microsatellite markers. Qenetics and Biodiversity Journal (gabj), 3(2): 57-61
Hermiz, H. N., and J.M.,A., Hadad, .2020. Factors affecting reproductive traits in several breeds. Iraqi Journal of Agricultural Science, 51(2), 629-636. https://doi.org/10.36103/ijas.v51i2.990
Hassan, M.S., S.M. Eidan, F.F. Ibrahim, and K.J. Yahya. 2021. Effect of swim-up and glass wool techniques, with adding antioxidants to tris extender on improving postcryopreserved total sperm characteristics in straw and freezability percentage for low semen quality of Holstein bulls. Iraqi Journal of Agricultural Science, 52(4), 885-895. https://doi.org/10.36103/ijas.v52i4.1396
Hassan, M.S. and S.M. Eidan. 2021. Effect of swim-up and glass wool techniques, with adding antioxidants to tris extender on improving post-cryopreserved some semen attributes of low semen quality for Holstein bulls. Iraqi Journal of Agricultural Science, 52(3), 552-563. https://doi.org/10.36103/ijas.v52i3.1342
Hurst, P.,P., Termine and M., Karl, . 2005. Agricultural Workers and Their Contribution to Sustainable Agriculture and Rural Development. FAO, Rome. <ftp://ftp.fao.org/docrep/fao/008/af164e/af164e00.pdf
Iheshiulor, O. O.,J.A.,Yu.X., Woolliams, R., Wellmann, andT.H., Meuwissen, .2016. Within-and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels. GeneticSelection Evolution, 48(1), 1-15
Kemp S.J.,O., Hishida J., Wambugu A., Rink M.L., Longeri R.Z., Ma Y., Da H.A., Lewin W., Barendse and A.J Teale .1995. A panel of polymorphic bovine, ovine and caprine microsatellite markers. Animal Genetics 26, 299–306
Kim, J. J., F. Farnir, J. Savell, and J. F. Taylor. 2003. Detection of quantitative trait loci for growth and beef carcass fatness traits in a cross between Bos taurus (Angus) and Bos indicus (Brahman) cattle. J. Anim. Sci. 81:1933–1942
Nkrumah, J. D., E. L. Sherman, C. Li, E. Marques, D. H. Crews, R. Bartusiak, B. Murdoch, Z. Wang, J. A. Basarab, and S. S. Moore. 2007. Primary genome scan to identify putative quantitative trait loci for feedlot growth rate, feed intake, and feed efficiency of beef cattle. J. Anim. Sci. 85:3170–3181.
Rawlings, J. S., K. M. Rosler, and D. A. Harrison. 2004. The JAK/ STAT signaling pathway. J. Cell Sci. 117:1281–1283
Rushdi, H. E.,R.E.A., Moghaieb, H., Abdel-Shafy, and M,A., Ibrahim, .2017. Association between microsatellite markers and milk production traits in Egyptian buffaloes. Czech Journal of Animal Science, 62(9), 384-391
SAS. 2012. Statistical Analysis System, User's Guide. Statistical. Version 9.1th ed. SAS. Inst. Inc. Cary. N.C. USA. PP :110
Schindler, C., and C. Plumlee. 2008. Interferons pen the JAK-STAT pathway. Semin. Cell Dev. Biol. 19:311–318
Smith, S. B., M. Zembayashi, D. K. Lunt, J. O. Sanders, and C. D. Gilbert. 2001. Carcass traits and microsatellite distributions in offspring of sires from three geographical regions of Japan. J. Anim. Sci. 79:3041–3051
Teneva,A., E.,Todorovska, M.P., Petrović, S., Kusza, K., Perriassamy, V., Caro Petrović, and D., Gadjev, .2018. Short tandem repeats (STR) in cattle genomics and breeding. Biotechnology in Animal Husbandry, 34(2), 127-147
Toldo, S. S.,R., Fries, P., Steffen, H.L., Neibergs, W., Barendse, J.E., Womack, D. J., Hetzel, and G., Stranzinger, .1993. Physically mapped, cosmid-derived microsatellite markers as anchor loci on bovine chromosomes. Mamm. Genome 4, 720–727
Wibowo, T. A., C.T.,Gaskins, R.C., Newberry, G.H., Thorgaard, J.J., Michal, and Z., Jiang, .2008. Genome assembly anchored QTL map of bovine chromosome 14. International Journal of Biological Sciences, 4(6), 406
Williams, J. L. 2006. Livestock Genomes (Bovine genome). Reviews in Cell Biology and Molecular Medicine. PP : 337-338.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
2.jpg)
https://orcid.org/0000-0002-5774-5906 2.jpg)
