Review
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Year 2026, Volume: 7 Issue: 1, 78 - 88, 27.03.2026
https://doi.org/10.56430/japro.1825204
https://izlik.org/JA44AJ88NJ

Abstract

References

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  • Boettcher, P. J., Hoffmann, I., Baumung, R., Drucker, A. G., McManus, C., Berg, P., Stella, A., Nilsen, L. B., Moran, D., Naves, M., & Thompson, M. C. (2015). Genetic resources and genomics for adaptation of livestock to climate change. Frontiers in Genetics, 5, 461. https://doi.org/10.3389/fgene.2014.00461
  • Boichard, D., Ducrocq, V., Croiseau, P., & Fritz, S. (2016). Genomic selection in domestic animals: principles, applications and perspectives. Comptes Rendus Biologies, 339(7-8), 274-277. https://doi.org/10.1016/j.crvi.2016.04.007
  • Burrow, H. M., Mrode, R., Mwai, A. O., Coffey, M. P., & Hayes, B. J. (2021). Challenges and opportunities in applying genomic selection to ruminants owned by smallholder farmers. Agriculture, 11(11), 1172. https://doi.org/10.3390/agriculture11111172
  • CDCB. (2024). Genetic evaluation schedules. https://uscdcb.com/genetic-evaluation-schedule/2026/
  • CDN. (2023). Genetic evaluation release. https://www.cdn.ca/home.php
  • Cole, J. B., Wiggans, G. R., Ma, L., Sonstegard, T. S., Lawlor Jr, T. J., Crooker, B. A., Tassell, C. P. V., Yang, J., Wang, S., Matukumalli, L. K., & Da, Y. (2011). Genome-wide association analysis of thirty one production, health, reproduction and body conformation traits in contemporary US Holstein cows. BMC Genomics, 12, 408. https://doi.org/10.1186/1471-2164-12-408
  • CRV. (2024). Annual report. https://crvpf.org/category/annual-reports/
  • Daetwyler, H. D., Swan, A. A., van der Werf, J. H., & Hayes, B. J. (2012). Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation. Genetics Selection Evolution, 44, 33. https://doi.org/10.1186/1297-9686-44-33
  • Daetwyler, H. D., Villanueva, B., & Woolliams, J. A. (2008). Accuracy of predicting the genetic risk of disease using a genome-wide approach. PloS One, 3(10), e3395. https://doi.org/10.1371/journal.pone.0003395
  • Dagdelen, U., & Esenbuga, N. (2025). Association of GH/HaeIII polymorphism with growth and developmental traits of Morkaraman sheep. Archives Animal Breeding, 68(3), 575-587. https://doi.org/10.5194/aab-68-575-2025
  • De Roos, A. P. W., Hayes, B. J., Spelman, R. J., & Goddard, M. E. (2008). Linkage disequilibrium and persistence of phase in Holstein–Friesian, Jersey and Angus cattle. Genetics, 179(3), 1503-1512. https://doi.org/10.1534/genetics.107.084301
  • Demirci, E., Akyel, R., Caner, B., Alan-Selçuk, N., Güven-Meşe, Ş., Ocak, M., & Kabasakal, L. (2020). Interobserver and intraobserver agreement on prostate-specific membrane antigen PET/CT images according to the miTNM and PSMA-RADS criteria. Nuclear Medicine Communications, 41(8), 759-767. https://doi.org/10.1097/mnm.0000000000001219
  • Ducrocq, V., Croiseau, P., Baur, A., Saintilan, R., Fritz, S., & Boichard, D. (2014). Genomic evaluation using QTL information. 10. World Congress of Genetics Applied to Livestock Production. Vancouver.
  • Erdogan, H., Durmaz, M. S., Arslan, S., Durmaz, F. G., Cebeci, H., Ergun, O., & Karaagac, S. S. (2020). Shear wave elastography evaluation of testes in patients with varicocele. Ultrasound Quarterly, 36(1), 64-68. https://doi.org/10.1097/ruq.0000000000000418
  • FAO. (2019). Gateway to dairy production and products. https://www.fao.org/dairy-production-products/resources/publications/13/en
  • FAO. (2021). Breeding strategies for sustainable management of animal genetic resources. https://www.fao.org/4/i1103e/i1103e.pdf
  • García-Ruiz, A., Cole, J. B., VanRaden, P. M., Wiggans, G. R., Ruiz-López, F. J., & Van Tassell, C. P. (2016). Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection. Proceedings of the National Academy of Sciences, 113(28), E3995-E4004. https://doi.org/10.1073/pnas.1519061113
  • Goddard, M. E., & Hayes, B. (2007). Genomic selection. Journal of Animal breeding and Genetics, 124(6), 323-330. https://doi.org/10.1111/j.1439-0388.2007.00702.x
  • Goddard, M. E., & Hayes, B. J. (2009). Mapping genes for complex traits in domestic animals and their use in breeding programmes. Nature Reviews Genetics, 10(6), 381-391. https://doi.org/10.1038/nrg2575
  • Groeneveld, L. F., Lenstra, J. A., Eding, H., Toro, M. A., Scherf, B., Pilling, D., Negrini, R., Finlay, E. K., Jianlin, H., Groeneveld, E., Weigend, S., & Globaldiv Consortium. (2010). Genetic diversity in farm animals–a review. Animal Genetics, 41(s1), 6-31. https://doi.org/10.1111/j.1365-2052.2010.02038.x
  • Hayes, B. J., Bowman, P. J., Chamberlain, A. J., & Goddard, M. E. (2009). Invited review: Genomic selection in dairy cattle: Progress and challenges. Journal of dairy science, 92(2), 433-443. https://doi.org/10.3168/jds.2008-1646
  • Hayes, L., Manyweathers, J., Maru, Y., Loechel, B., Kelly, J., Kruger, H., Woodgate, R., & Hernandez-Jover, M. (2021). Stakeholder mapping in animal health surveillance: A comparative assessment of networks in intensive dairy cattle and extensive sheep production in Australia. Preventive Veterinary Medicine, 190, 105326.
  • Hickey, J. M., Chiurugwi, T., Mackay, I., & Powell, W. (2017). Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery. Nature Genetics, 49(9), 1297-1303. https://doi.org/10.1038/ng.3920
  • Kaymakçı, M., & Taşkın, T. (2005). Koyun-Keçi Yetiştiricileri Birlikleri’ nin verim denetimleri ve damızlık seçiminde işlevleri üzerine bir deneme. Journal of Animal Production, 46(2). (In Turkish)
  • Kijas, J., Carvalheiro, R., Menzies, M., Mcwilliam, S., Coman, G., Foote, A., Moser, R., Franz, L., & Sellars, M. (2025). Genome-wide SNP variation reveals genetic structure and high levels of diversity in a global survey of wild and farmed Pacific white shrimp. Aquaculture, 597, 741911. https://doi.org/10.1016/j.aquaculture.2024.741911
  • Lund, M. S., Su, G., Janss, L., Guldbrandtsen, B., & Brøndum, R. F. (2014). Genomic evaluation of cattle in a multi-breed context. Livestock Science, 166, 101-110. https://doi.org/10.1016/j.livsci.2014.05.008
  • Mastrangelo, S., Tolone, M., Sardina, M. T., Sottile, G., Sutera, A. M., Di Gerlando, R., & Portolano, B. (2017). Genome-wide scan for runs of homozygosity identifies potential candidate genes associated with local adaptation in Valle del Belice sheep. Genetics Selection Evolution, 49(1), 84. https://doi.org/10.1186/s12711-017-0360-z
  • Meuwissen, T. H., Hayes, B. J., & Goddard, M. (2001). Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157(4), 1819-1829. https://doi.org/10.1093/genetics/157.4.1819
  • Meuwissen, T., Hayes, B., & Goddard, M. (2016). Genomic selection: A paradigm shift in animal breeding. Animal Frontiers, 6(1), 6-14. https://doi.org/10.2527/af.2016-0002
  • Morota, G., Ventura, R. V., Silva, F. F., Koyama, M., & Fernando, S. C. (2018). Big data analytics and precision animal agriculture symposium: Machine learning and data mining advance predictive big data analysis in precision animal agriculture. Journal of Animal Science, 96(4), 1540-1550. https://doi.org/10.1093/jas/sky014
  • Mrode, R. A. (2014). Linear models for the prediction of animal breeding values. CABI.
  • Mrode, R., Ojango, J. M. K., Okeyo, A. M., & Mwacharo, J. M. (2019). Genomic selection and use of molecular tools in breeding programs for indigenous and crossbred cattle in developing countries: Current status and future prospects. Frontiers in Genetics, 9, 694. https://doi.org/10.3389/fgene.2018.00694
  • OECD. (2015). Agricultural policy monitoring and evaluation 2015. https://www.oecd.org/content/dam/oecd/en/publications/reports/2015/08/agricultural-policy-monitoring-and-evaluation-2015_g1g5489c/agr_pol-2015-en.pdf
  • Önder, H., & Tırınk, C. (2022). Bibliometric analysis for genomic selection studies in animal science. Journal of the Institute of Science and Technology, 12(3), 1849-1856. https://doi.org/10.21597/jist.1133397
  • Özdemir, S., Ekiz, E. E., & Ekiz, B. (2022). Effect of lairage duration on cattle behaviors and stockperson actions in the slaughter corridor in Simmental and Swiss Brown breeds. Tropical Animal Health and Production, 54(2), 139. https://doi.org/10.1007/s11250-022-03136-4
  • Schaeffer, L. (2006). Strategy for applying genome‐wide selection in dairy cattle. Journal of animal Breeding and Genetics, 123(4), 218-223. https://doi.org/10.1111/j.1439-0388.2006.00595.x
  • Schenkel, F. S., Sargolzaei, M., Kistemaker, G., Jansen, G. B., Sullivan, P., Van Doormaal, B. J., VanRaden, P. M., & Wiggans, G. R. (2009). Reliability of genomic evaluation of Holstein cattle in Canada. Interbull Bulletin, (39), 51-51.
  • TİGEM. (2024). 2024 idare faaliyet raporu. https://www.tigem.gov.tr/Folder/GosterimDetayDosyasi/1984a808-8b63-4f95-ac05-a5b02820cfaf.pdf (In Turkish)
  • Uğurlu, M., Teke, B., Akdağ, F., Salman, M., Kaya, İ., & Ekiz, B. (2022). Fattening performance of Herik lambs underneath thermal stress in intensive conditions. Kocatepe Veterinary Journal, 15(4), 390-394. https://doi.org/10.30607/kvj.1110296
  • Uğurlu, M., Uysal, A., Nacar, B., Bölükbaş, B., Atalar, F., Ay, D., Teke, B., Kaya, İ., & Akdağ, F. (2025). Effect of breed and fattening system on fattening performance, rumen and blood parameters in Akkaraman, Karayaka and Herik lambs under indoor conditions. Ankara Üniversitesi Veteriner Fakültesi Dergisi, 72(4), 397-404. https://doi.org/10.33988/auvfd.1557120
  • Van Doormaal, B. J., Kistemaker, G. J., Sullivan, P. G., Sargolzaei, M., & Schenkel, F. S. (2009). Canadian implementation of genomic evaluations. Interbull Bulletin, (40), 214-214.
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The Role of Genomic Selection in Animal Breeding: A Comparative Review of Applications in Türkiye and Around the World

Year 2026, Volume: 7 Issue: 1, 78 - 88, 27.03.2026
https://doi.org/10.56430/japro.1825204
https://izlik.org/JA44AJ88NJ

Abstract

Genomic selection (GS) is a method that uses genetic markers distributed throughout the genome. It has a powerful and widespread impact on current animal breeding practices. This impact stems from high levels of variation and a shorter intergenerational period. In contrast, genetic selection is a form of selection based on pedigree. GS is a method used to select individuals with high productivity at an early age. It enables the earlier, more cost-effective and reliable identification of individuals with superior traits. It is particularly useful for estimating challenging selection parameters, such as reproductive traits, disease resistance and feed efficiency. This is primarily due to the low heritability of these traits. This review sets out to explore the fundamental concepts, technological foundations, and practical applications of GS in livestock breeding. It focuses on outlining both the benefits and the challenges of this approach, while also discussing its prospects for future development. The discussion begins with an explanation of the key methodological aspects of GS and then moves on to compare its implementation in several pioneering countries, including the United States, Canada, France, and the Netherlands. In these nations, large-scale genomic programmes have played a central role in accelerating genetic improvement and delivering notable economic gains, particularly in dairy and beef cattle production. The resulting analysis examines the current status of GS in Türkiye, with a focus on the progress made through various research projects, the use of molecular data and national herd recording systems. Despite these positive developments, challenges remain relating to the integration and analysis of genomic data, establishing a reference population, and adapting selection indices to native breeds. The review ends by underlining how important it is to invest in genomic technologies and to bring together different subjects, in order to make the livestock sector in Türkiye more competitive and sustainable.

Ethical Statement

This study does not require ethical committee approval.

References

  • Aydin, K. B., Bi, Y., Brito, L. F., Ulutaş, Z., & Morota, G. (2024). Review of sheep breeding and genetic research in Türkiye. Frontiers in Genetics, 15, 1308113. https://doi.org/10.3389/fgene.2024.1308113
  • Boettcher, P. J., Hoffmann, I., Baumung, R., Drucker, A. G., McManus, C., Berg, P., Stella, A., Nilsen, L. B., Moran, D., Naves, M., & Thompson, M. C. (2015). Genetic resources and genomics for adaptation of livestock to climate change. Frontiers in Genetics, 5, 461. https://doi.org/10.3389/fgene.2014.00461
  • Boichard, D., Ducrocq, V., Croiseau, P., & Fritz, S. (2016). Genomic selection in domestic animals: principles, applications and perspectives. Comptes Rendus Biologies, 339(7-8), 274-277. https://doi.org/10.1016/j.crvi.2016.04.007
  • Burrow, H. M., Mrode, R., Mwai, A. O., Coffey, M. P., & Hayes, B. J. (2021). Challenges and opportunities in applying genomic selection to ruminants owned by smallholder farmers. Agriculture, 11(11), 1172. https://doi.org/10.3390/agriculture11111172
  • CDCB. (2024). Genetic evaluation schedules. https://uscdcb.com/genetic-evaluation-schedule/2026/
  • CDN. (2023). Genetic evaluation release. https://www.cdn.ca/home.php
  • Cole, J. B., Wiggans, G. R., Ma, L., Sonstegard, T. S., Lawlor Jr, T. J., Crooker, B. A., Tassell, C. P. V., Yang, J., Wang, S., Matukumalli, L. K., & Da, Y. (2011). Genome-wide association analysis of thirty one production, health, reproduction and body conformation traits in contemporary US Holstein cows. BMC Genomics, 12, 408. https://doi.org/10.1186/1471-2164-12-408
  • CRV. (2024). Annual report. https://crvpf.org/category/annual-reports/
  • Daetwyler, H. D., Swan, A. A., van der Werf, J. H., & Hayes, B. J. (2012). Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation. Genetics Selection Evolution, 44, 33. https://doi.org/10.1186/1297-9686-44-33
  • Daetwyler, H. D., Villanueva, B., & Woolliams, J. A. (2008). Accuracy of predicting the genetic risk of disease using a genome-wide approach. PloS One, 3(10), e3395. https://doi.org/10.1371/journal.pone.0003395
  • Dagdelen, U., & Esenbuga, N. (2025). Association of GH/HaeIII polymorphism with growth and developmental traits of Morkaraman sheep. Archives Animal Breeding, 68(3), 575-587. https://doi.org/10.5194/aab-68-575-2025
  • De Roos, A. P. W., Hayes, B. J., Spelman, R. J., & Goddard, M. E. (2008). Linkage disequilibrium and persistence of phase in Holstein–Friesian, Jersey and Angus cattle. Genetics, 179(3), 1503-1512. https://doi.org/10.1534/genetics.107.084301
  • Demirci, E., Akyel, R., Caner, B., Alan-Selçuk, N., Güven-Meşe, Ş., Ocak, M., & Kabasakal, L. (2020). Interobserver and intraobserver agreement on prostate-specific membrane antigen PET/CT images according to the miTNM and PSMA-RADS criteria. Nuclear Medicine Communications, 41(8), 759-767. https://doi.org/10.1097/mnm.0000000000001219
  • Ducrocq, V., Croiseau, P., Baur, A., Saintilan, R., Fritz, S., & Boichard, D. (2014). Genomic evaluation using QTL information. 10. World Congress of Genetics Applied to Livestock Production. Vancouver.
  • Erdogan, H., Durmaz, M. S., Arslan, S., Durmaz, F. G., Cebeci, H., Ergun, O., & Karaagac, S. S. (2020). Shear wave elastography evaluation of testes in patients with varicocele. Ultrasound Quarterly, 36(1), 64-68. https://doi.org/10.1097/ruq.0000000000000418
  • FAO. (2019). Gateway to dairy production and products. https://www.fao.org/dairy-production-products/resources/publications/13/en
  • FAO. (2021). Breeding strategies for sustainable management of animal genetic resources. https://www.fao.org/4/i1103e/i1103e.pdf
  • García-Ruiz, A., Cole, J. B., VanRaden, P. M., Wiggans, G. R., Ruiz-López, F. J., & Van Tassell, C. P. (2016). Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection. Proceedings of the National Academy of Sciences, 113(28), E3995-E4004. https://doi.org/10.1073/pnas.1519061113
  • Goddard, M. E., & Hayes, B. (2007). Genomic selection. Journal of Animal breeding and Genetics, 124(6), 323-330. https://doi.org/10.1111/j.1439-0388.2007.00702.x
  • Goddard, M. E., & Hayes, B. J. (2009). Mapping genes for complex traits in domestic animals and their use in breeding programmes. Nature Reviews Genetics, 10(6), 381-391. https://doi.org/10.1038/nrg2575
  • Groeneveld, L. F., Lenstra, J. A., Eding, H., Toro, M. A., Scherf, B., Pilling, D., Negrini, R., Finlay, E. K., Jianlin, H., Groeneveld, E., Weigend, S., & Globaldiv Consortium. (2010). Genetic diversity in farm animals–a review. Animal Genetics, 41(s1), 6-31. https://doi.org/10.1111/j.1365-2052.2010.02038.x
  • Hayes, B. J., Bowman, P. J., Chamberlain, A. J., & Goddard, M. E. (2009). Invited review: Genomic selection in dairy cattle: Progress and challenges. Journal of dairy science, 92(2), 433-443. https://doi.org/10.3168/jds.2008-1646
  • Hayes, L., Manyweathers, J., Maru, Y., Loechel, B., Kelly, J., Kruger, H., Woodgate, R., & Hernandez-Jover, M. (2021). Stakeholder mapping in animal health surveillance: A comparative assessment of networks in intensive dairy cattle and extensive sheep production in Australia. Preventive Veterinary Medicine, 190, 105326.
  • Hickey, J. M., Chiurugwi, T., Mackay, I., & Powell, W. (2017). Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery. Nature Genetics, 49(9), 1297-1303. https://doi.org/10.1038/ng.3920
  • Kaymakçı, M., & Taşkın, T. (2005). Koyun-Keçi Yetiştiricileri Birlikleri’ nin verim denetimleri ve damızlık seçiminde işlevleri üzerine bir deneme. Journal of Animal Production, 46(2). (In Turkish)
  • Kijas, J., Carvalheiro, R., Menzies, M., Mcwilliam, S., Coman, G., Foote, A., Moser, R., Franz, L., & Sellars, M. (2025). Genome-wide SNP variation reveals genetic structure and high levels of diversity in a global survey of wild and farmed Pacific white shrimp. Aquaculture, 597, 741911. https://doi.org/10.1016/j.aquaculture.2024.741911
  • Lund, M. S., Su, G., Janss, L., Guldbrandtsen, B., & Brøndum, R. F. (2014). Genomic evaluation of cattle in a multi-breed context. Livestock Science, 166, 101-110. https://doi.org/10.1016/j.livsci.2014.05.008
  • Mastrangelo, S., Tolone, M., Sardina, M. T., Sottile, G., Sutera, A. M., Di Gerlando, R., & Portolano, B. (2017). Genome-wide scan for runs of homozygosity identifies potential candidate genes associated with local adaptation in Valle del Belice sheep. Genetics Selection Evolution, 49(1), 84. https://doi.org/10.1186/s12711-017-0360-z
  • Meuwissen, T. H., Hayes, B. J., & Goddard, M. (2001). Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157(4), 1819-1829. https://doi.org/10.1093/genetics/157.4.1819
  • Meuwissen, T., Hayes, B., & Goddard, M. (2016). Genomic selection: A paradigm shift in animal breeding. Animal Frontiers, 6(1), 6-14. https://doi.org/10.2527/af.2016-0002
  • Morota, G., Ventura, R. V., Silva, F. F., Koyama, M., & Fernando, S. C. (2018). Big data analytics and precision animal agriculture symposium: Machine learning and data mining advance predictive big data analysis in precision animal agriculture. Journal of Animal Science, 96(4), 1540-1550. https://doi.org/10.1093/jas/sky014
  • Mrode, R. A. (2014). Linear models for the prediction of animal breeding values. CABI.
  • Mrode, R., Ojango, J. M. K., Okeyo, A. M., & Mwacharo, J. M. (2019). Genomic selection and use of molecular tools in breeding programs for indigenous and crossbred cattle in developing countries: Current status and future prospects. Frontiers in Genetics, 9, 694. https://doi.org/10.3389/fgene.2018.00694
  • OECD. (2015). Agricultural policy monitoring and evaluation 2015. https://www.oecd.org/content/dam/oecd/en/publications/reports/2015/08/agricultural-policy-monitoring-and-evaluation-2015_g1g5489c/agr_pol-2015-en.pdf
  • Önder, H., & Tırınk, C. (2022). Bibliometric analysis for genomic selection studies in animal science. Journal of the Institute of Science and Technology, 12(3), 1849-1856. https://doi.org/10.21597/jist.1133397
  • Özdemir, S., Ekiz, E. E., & Ekiz, B. (2022). Effect of lairage duration on cattle behaviors and stockperson actions in the slaughter corridor in Simmental and Swiss Brown breeds. Tropical Animal Health and Production, 54(2), 139. https://doi.org/10.1007/s11250-022-03136-4
  • Schaeffer, L. (2006). Strategy for applying genome‐wide selection in dairy cattle. Journal of animal Breeding and Genetics, 123(4), 218-223. https://doi.org/10.1111/j.1439-0388.2006.00595.x
  • Schenkel, F. S., Sargolzaei, M., Kistemaker, G., Jansen, G. B., Sullivan, P., Van Doormaal, B. J., VanRaden, P. M., & Wiggans, G. R. (2009). Reliability of genomic evaluation of Holstein cattle in Canada. Interbull Bulletin, (39), 51-51.
  • TİGEM. (2024). 2024 idare faaliyet raporu. https://www.tigem.gov.tr/Folder/GosterimDetayDosyasi/1984a808-8b63-4f95-ac05-a5b02820cfaf.pdf (In Turkish)
  • Uğurlu, M., Teke, B., Akdağ, F., Salman, M., Kaya, İ., & Ekiz, B. (2022). Fattening performance of Herik lambs underneath thermal stress in intensive conditions. Kocatepe Veterinary Journal, 15(4), 390-394. https://doi.org/10.30607/kvj.1110296
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There are 51 citations in total.

Details

Primary Language English
Subjects Animal Science, Genetics and Biostatistics
Journal Section Review
Authors

Ülkü Dağdelen 0000-0002-5167-8255

Submission Date November 17, 2025
Acceptance Date January 2, 2026
Publication Date March 27, 2026
DOI https://doi.org/10.56430/japro.1825204
IZ https://izlik.org/JA44AJ88NJ
Published in Issue Year 2026 Volume: 7 Issue: 1

Cite

APA Dağdelen, Ü. (2026). The Role of Genomic Selection in Animal Breeding: A Comparative Review of Applications in Türkiye and Around the World. Journal of Agricultural Production, 7(1), 78-88. https://doi.org/10.56430/japro.1825204