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Year 2023, Volume: 63 Issue: 2, 63 - 68, 31.12.2023
https://doi.org/10.46897/livestockstudies.1415343

Abstract

References

  • Agung, P. P., Saputra, F., Zein, M. S. A., Wulandari, A. S., Putra, W. P. B., Said, S., & Jakaria, J. (2019). Genetic diversity of Indonesian cattle breeds based on microsatellite markers. Asian-Australasian Journal of Animal Sciences, 32(4). https://doi.org/10.5713/ajas.18.0283
  • American Simmental Association. (2023). History of the Simmental Breed. Www.Simmental.Org. https://www.pasimmental.com/files/wp-content/uploads/2014/03/Simmental_history.pdf Date accesed: 27.11.2023
  • Arruda, M. P., Lipka, A. E., Brown, P. J., Krill, A. M., Thurber, C., Brown-Guedira, G., Dong, Y., Foresman, B. J., & Kolb, F. L. (2016). Comparing genomic selection and marker-assisted selection for Fusarium head blight resistance in wheat (Triticum aestivum L.). Molecular Breeding, 36(7). https://doi.org/10.1007/s11032-016-0508-5
  • Arzik, Y., Kizilaslan, M., Behrem, S., White, S. N., Piel, L. M. W., & Cinar, M. U. (2023). Genome-Wide Scan of Wool Production Traits in Akkaraman Sheep. Genes, 14(3), 713.
  • Averdunk, G., and Krogmeier, D. (2011). Animals that Produce Dairy Foods: Minor and Dual-Purpose Bos taurus Breeds. In Encyclopedia of Dairy Sciences: Second Edition. https://doi.org/10.1016/B978-0-12-374407-4.00033-9
  • Dakin EE, Avise JC. (2004) Microsatellite null alleles in parentage analysis. Heredity (Edinb). 93(5):504-9. doi: 10.1038/sj.hdy.6800545. PMID: 15292911.
  • Earl, Dent A. and vonHoldt, Bridgett M. (2012) Structure Harvester: A website and program for visualizing Structure output and implementing the Evanno method. Conservation Genetics Resources vol. 4 (2) pp. 359-361 doi: 10.1007/s12686-011-9548-7
  • Evanno G, Regnaut S, Goudet J.(2005) Detecting the number of clusters of individuals using the software STRUCTURE: A simulation study. Mol Ecol. 14(8): 2611–2620.
  • Excoffier L., Laval G., and Schneider S., 2007. Arlequin (version 3.0), An integrated software package for population genetics data analysis. Evol Bioinform Online. 1, 47-50
  • Ganteil, A., Rodriguez-Ramilo, S. T., Ligonesche, B., & Larzul, C. (2021). Characterization of Autozygosity in Pigs in Three-Way Crossbreeding. Frontiers in Genetics, 11. https://doi.org/10.3389/fgene.2020.584556
  • Garkovenko, A. V., Radchenko, V. V., Ilnitskaya, E. V., Koshchaev, A. G., Shchukina, I. V., Bakharev, A. A., & Sukhanova, S. F. (2018). Polymorphism of cattle microsatellite complexes. Journal of Pharmaceutical Sciences and Research, 10(6).
  • Goudet, J. (1995), FSTAT (version 1.2), A computer program to calculate F-statistics. J Hered. 86(6):485–486.
  • Hall, S. J. G. (2004). Livestock Biodiversity. In Livestock Biodiversity. Copyright © 2004 by Blackwell Publishing Ltd. https://doi.org/10.1002/9780470995433
  • Kizilaslan, M., Arzik, Y., White, S. N., Piel, L. M. W., & Cinar, M. U. (2022). Genetic Parameters and Genomic Regions Underlying Growth and Linear Type Traits in Akkaraman Sheep. In Genes (Vol. 13, Issue 8). https://doi.org/10.3390/genes13081414
  • Kalinowski S.T., Taper M.L. and Marshall T.C. (2007). Revising how the computer program Cervus accommodates genotyping error increases success in paternity assignment. Mol Ecol. 16(5), 1099-106
  • Knott, S.A. Marklund, L., Haley, C.S., Andersson, K., Davies, W., Ellegren, H., Fredholm, M., Hansson,I., Hoyheim, B., Lundstro, K., Moller, M., and Andersson, L., (1998) Multiple Marker Mapping of Quantitative Trait Loci in a Cross Between Outbred Wild Boar and Large White Pigs. Genetics. 149: 1069–1080.
  • Mihai, R., Mihalascu, C., Emil MĂRGINEAN, G., Paula MARIN, M., Aurora CĂRĂTUȘ, M., & Vidu, L. (2019). The Dynamics Of Milk Production In Montbeliardee Breed On A Farm In Southern Romania. www.Montbeliardee.org
  • Periši, P., Skalicki, Z., Petrovi, M. M., Bogdanovi, V., & Ruži, D. (2009). Simmental Cattle Production Systems in Different. The state in Simmental breed in some European countries. 25, 315–326
  • Pritchard, J. K., Stephens, M., and Donnelly, P., 2000. Inference of population structure using multilocus genotype data. Genetics 155, 945–959.
  • R Development Core Team. (2019). R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. In R Foundation for Statistical Computing (Vol. 2).
  • Rousset F. (2008). genepop’007: A complete re-implementation of the genepop software for windows and linux. Mol Ecol Resour. 8(1):103–106.
  • Rice WR (1989) Analyzing tables of statistical tests. Evolution 43:223–225
  • Scholtens, M., Jiang, A., Smith, A., Littlejohn, M., Lehnert, K., Snell, R., Lopez-Villalobos, N., Garrick, D., & Blair, H. (2020). Genome-wide association studies of lactation yields of milk, fat, protein and somatic cell score in New Zealand dairy goats. Journal of Animal Science and Biotechnology, 11, 1–14.
  • Unlusoy, I. (2022). Türkiye'de Damızlık Olarak Kullanılan Siyah Alaca (Holstein) Irkı Boğalarda Gözlenen Genetik Darboğaz. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi. Osmaniye Korkut Ata University Journal of The Institute of Science and Technology Ob. 5(3), 1647–1655.
  • Unlusoy, I. (2023). Determination of declined genetic diversity of Holstein stud bulls based on microsatellite markers, Animal Biotechnology, DOI: 10.1080/10495398.2023.2176866
  • Wiggans, G. R., Cole, J. B., Hubbard, S. M., & Sonstegard, T. S. (2017). Genomic Selection in Dairy Cattle: The USDA Experience. Annual Review of Animal Biosciences, 5, 309–327. https://doi.org/10.1146/annurev-animal-021815-111422
  • Williams, J. L. (2005). The use of marker-assisted selection in animal breeding and biotechnology. 24(1), 379–391.
  • World Simmental Fleckvieh Federation. (2018). Breed Description. http://wsff.info/breed-description.htm
  • Zhang, Z., Ober, U., Erbe, M., Zhang, H., Gao, N., He, J., Li, J., & Simianer, H. (2014). Improving the accuracy of whole genome prediction for complex traits using the results of genome wide association studies. PloS One, 9(3), e93017.

Comparison of Fleckvieh and Montbeliarde Stud Bulls with Turkish Simmental Stud Bulls in Terms of Genetic Structure and Diversity

Year 2023, Volume: 63 Issue: 2, 63 - 68, 31.12.2023
https://doi.org/10.46897/livestockstudies.1415343

Abstract

The original Simmental cattle stood out for their potentials of durability, rapid growth and milk quality. They deliver many kinds of breeding types due to their multi-purpose production. The goals of Simmental cattle breeding has been diverted many times since its domestication. Intensive selection programs applied to increase the frequency of alleles associated with economically important traits in the population may cause the frequencies of some alleles to decrease or even disappear. In this study, it was aimed to evaluate the diversity of Simmental cattle subpopulations, which have been subjected to many crossbreeding and selection programs since their existence, by using their sire lines. For this purpose, genetic structure and diversity were evaluated using microsatellite data of 16 Simmental bulls bred in Türkiye and 115 Fleckvieh and 27 Montbeliarde breeding bulls whose semen imported to Türkiye. As a result, it was observed that the genetic structure of Montbeliarde subpopulation had more homogenity than Fleckvieh and Turkish Simmental subpopulations. Besides, the genetic structure of Turkish Simmental subpopulation was similar to Fleckvieh subpopulation.

References

  • Agung, P. P., Saputra, F., Zein, M. S. A., Wulandari, A. S., Putra, W. P. B., Said, S., & Jakaria, J. (2019). Genetic diversity of Indonesian cattle breeds based on microsatellite markers. Asian-Australasian Journal of Animal Sciences, 32(4). https://doi.org/10.5713/ajas.18.0283
  • American Simmental Association. (2023). History of the Simmental Breed. Www.Simmental.Org. https://www.pasimmental.com/files/wp-content/uploads/2014/03/Simmental_history.pdf Date accesed: 27.11.2023
  • Arruda, M. P., Lipka, A. E., Brown, P. J., Krill, A. M., Thurber, C., Brown-Guedira, G., Dong, Y., Foresman, B. J., & Kolb, F. L. (2016). Comparing genomic selection and marker-assisted selection for Fusarium head blight resistance in wheat (Triticum aestivum L.). Molecular Breeding, 36(7). https://doi.org/10.1007/s11032-016-0508-5
  • Arzik, Y., Kizilaslan, M., Behrem, S., White, S. N., Piel, L. M. W., & Cinar, M. U. (2023). Genome-Wide Scan of Wool Production Traits in Akkaraman Sheep. Genes, 14(3), 713.
  • Averdunk, G., and Krogmeier, D. (2011). Animals that Produce Dairy Foods: Minor and Dual-Purpose Bos taurus Breeds. In Encyclopedia of Dairy Sciences: Second Edition. https://doi.org/10.1016/B978-0-12-374407-4.00033-9
  • Dakin EE, Avise JC. (2004) Microsatellite null alleles in parentage analysis. Heredity (Edinb). 93(5):504-9. doi: 10.1038/sj.hdy.6800545. PMID: 15292911.
  • Earl, Dent A. and vonHoldt, Bridgett M. (2012) Structure Harvester: A website and program for visualizing Structure output and implementing the Evanno method. Conservation Genetics Resources vol. 4 (2) pp. 359-361 doi: 10.1007/s12686-011-9548-7
  • Evanno G, Regnaut S, Goudet J.(2005) Detecting the number of clusters of individuals using the software STRUCTURE: A simulation study. Mol Ecol. 14(8): 2611–2620.
  • Excoffier L., Laval G., and Schneider S., 2007. Arlequin (version 3.0), An integrated software package for population genetics data analysis. Evol Bioinform Online. 1, 47-50
  • Ganteil, A., Rodriguez-Ramilo, S. T., Ligonesche, B., & Larzul, C. (2021). Characterization of Autozygosity in Pigs in Three-Way Crossbreeding. Frontiers in Genetics, 11. https://doi.org/10.3389/fgene.2020.584556
  • Garkovenko, A. V., Radchenko, V. V., Ilnitskaya, E. V., Koshchaev, A. G., Shchukina, I. V., Bakharev, A. A., & Sukhanova, S. F. (2018). Polymorphism of cattle microsatellite complexes. Journal of Pharmaceutical Sciences and Research, 10(6).
  • Goudet, J. (1995), FSTAT (version 1.2), A computer program to calculate F-statistics. J Hered. 86(6):485–486.
  • Hall, S. J. G. (2004). Livestock Biodiversity. In Livestock Biodiversity. Copyright © 2004 by Blackwell Publishing Ltd. https://doi.org/10.1002/9780470995433
  • Kizilaslan, M., Arzik, Y., White, S. N., Piel, L. M. W., & Cinar, M. U. (2022). Genetic Parameters and Genomic Regions Underlying Growth and Linear Type Traits in Akkaraman Sheep. In Genes (Vol. 13, Issue 8). https://doi.org/10.3390/genes13081414
  • Kalinowski S.T., Taper M.L. and Marshall T.C. (2007). Revising how the computer program Cervus accommodates genotyping error increases success in paternity assignment. Mol Ecol. 16(5), 1099-106
  • Knott, S.A. Marklund, L., Haley, C.S., Andersson, K., Davies, W., Ellegren, H., Fredholm, M., Hansson,I., Hoyheim, B., Lundstro, K., Moller, M., and Andersson, L., (1998) Multiple Marker Mapping of Quantitative Trait Loci in a Cross Between Outbred Wild Boar and Large White Pigs. Genetics. 149: 1069–1080.
  • Mihai, R., Mihalascu, C., Emil MĂRGINEAN, G., Paula MARIN, M., Aurora CĂRĂTUȘ, M., & Vidu, L. (2019). The Dynamics Of Milk Production In Montbeliardee Breed On A Farm In Southern Romania. www.Montbeliardee.org
  • Periši, P., Skalicki, Z., Petrovi, M. M., Bogdanovi, V., & Ruži, D. (2009). Simmental Cattle Production Systems in Different. The state in Simmental breed in some European countries. 25, 315–326
  • Pritchard, J. K., Stephens, M., and Donnelly, P., 2000. Inference of population structure using multilocus genotype data. Genetics 155, 945–959.
  • R Development Core Team. (2019). R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. In R Foundation for Statistical Computing (Vol. 2).
  • Rousset F. (2008). genepop’007: A complete re-implementation of the genepop software for windows and linux. Mol Ecol Resour. 8(1):103–106.
  • Rice WR (1989) Analyzing tables of statistical tests. Evolution 43:223–225
  • Scholtens, M., Jiang, A., Smith, A., Littlejohn, M., Lehnert, K., Snell, R., Lopez-Villalobos, N., Garrick, D., & Blair, H. (2020). Genome-wide association studies of lactation yields of milk, fat, protein and somatic cell score in New Zealand dairy goats. Journal of Animal Science and Biotechnology, 11, 1–14.
  • Unlusoy, I. (2022). Türkiye'de Damızlık Olarak Kullanılan Siyah Alaca (Holstein) Irkı Boğalarda Gözlenen Genetik Darboğaz. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi. Osmaniye Korkut Ata University Journal of The Institute of Science and Technology Ob. 5(3), 1647–1655.
  • Unlusoy, I. (2023). Determination of declined genetic diversity of Holstein stud bulls based on microsatellite markers, Animal Biotechnology, DOI: 10.1080/10495398.2023.2176866
  • Wiggans, G. R., Cole, J. B., Hubbard, S. M., & Sonstegard, T. S. (2017). Genomic Selection in Dairy Cattle: The USDA Experience. Annual Review of Animal Biosciences, 5, 309–327. https://doi.org/10.1146/annurev-animal-021815-111422
  • Williams, J. L. (2005). The use of marker-assisted selection in animal breeding and biotechnology. 24(1), 379–391.
  • World Simmental Fleckvieh Federation. (2018). Breed Description. http://wsff.info/breed-description.htm
  • Zhang, Z., Ober, U., Erbe, M., Zhang, H., Gao, N., He, J., Li, J., & Simianer, H. (2014). Improving the accuracy of whole genome prediction for complex traits using the results of genome wide association studies. PloS One, 9(3), e93017.
There are 29 citations in total.

Details

Primary Language English
Subjects Zootechny (Other)
Journal Section 63-2
Authors

İlke Unlusoy 0000-0002-0170-9957

Early Pub Date January 5, 2024
Publication Date December 31, 2023
Submission Date November 28, 2023
Acceptance Date December 26, 2023
Published in Issue Year 2023 Volume: 63 Issue: 2

Cite

APA Unlusoy, İ. (2023). Comparison of Fleckvieh and Montbeliarde Stud Bulls with Turkish Simmental Stud Bulls in Terms of Genetic Structure and Diversity. Livestock Studies, 63(2), 63-68. https://doi.org/10.46897/livestockstudies.1415343
AMA Unlusoy İ. Comparison of Fleckvieh and Montbeliarde Stud Bulls with Turkish Simmental Stud Bulls in Terms of Genetic Structure and Diversity. Livestock Studies. December 2023;63(2):63-68. doi:10.46897/livestockstudies.1415343
Chicago Unlusoy, İlke. “Comparison of Fleckvieh and Montbeliarde Stud Bulls With Turkish Simmental Stud Bulls in Terms of Genetic Structure and Diversity”. Livestock Studies 63, no. 2 (December 2023): 63-68. https://doi.org/10.46897/livestockstudies.1415343.
EndNote Unlusoy İ (December 1, 2023) Comparison of Fleckvieh and Montbeliarde Stud Bulls with Turkish Simmental Stud Bulls in Terms of Genetic Structure and Diversity. Livestock Studies 63 2 63–68.
IEEE İ. Unlusoy, “Comparison of Fleckvieh and Montbeliarde Stud Bulls with Turkish Simmental Stud Bulls in Terms of Genetic Structure and Diversity”, Livestock Studies, vol. 63, no. 2, pp. 63–68, 2023, doi: 10.46897/livestockstudies.1415343.
ISNAD Unlusoy, İlke. “Comparison of Fleckvieh and Montbeliarde Stud Bulls With Turkish Simmental Stud Bulls in Terms of Genetic Structure and Diversity”. Livestock Studies 63/2 (December 2023), 63-68. https://doi.org/10.46897/livestockstudies.1415343.
JAMA Unlusoy İ. Comparison of Fleckvieh and Montbeliarde Stud Bulls with Turkish Simmental Stud Bulls in Terms of Genetic Structure and Diversity. Livestock Studies. 2023;63:63–68.
MLA Unlusoy, İlke. “Comparison of Fleckvieh and Montbeliarde Stud Bulls With Turkish Simmental Stud Bulls in Terms of Genetic Structure and Diversity”. Livestock Studies, vol. 63, no. 2, 2023, pp. 63-68, doi:10.46897/livestockstudies.1415343.
Vancouver Unlusoy İ. Comparison of Fleckvieh and Montbeliarde Stud Bulls with Turkish Simmental Stud Bulls in Terms of Genetic Structure and Diversity. Livestock Studies. 2023;63(2):63-8.