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Çiftlik Hayvanlarda Laktasyon Eğrilerinin Bibliyometrik Analizi

Year 2023, Volume: 10 Issue: 4, 1009 - 1016, 13.10.2023
https://doi.org/10.30910/turkjans.1333143

Abstract

Bu çalışma, 1980 ile 2023 yılları arasında WOS veri tabanındaki 1455 çalışmadan elde edilen verilere dayanarak, çiftlik hayvanlarında laktasyon eğrisi modellemesinin bibliyometrik analizini sunmaktadır. Elde edilen sonuçlarda, 26 çalışmayla öne çıkan yazar Macicotta NPP ve çalışma sayısı açısından Cornell Üniversitesi önde gelen kurum olarak görülmüştür. Bu alanda en önemli dergi olarak Journal of Dairy Science, 393 makaleyle öne çıkmaktadır. Temsil edilen ülkeler arasında Türkiye, 44 çalışma ile 13. sırada yer almakta ve bu çalışmaların çoğunluğu yerel yazarlarla iş birliği içinde yürütülmektedir. Bu bulgular, laktasyon eğrileri alanında gelecekteki araştırma çalışmaları için değerli bir perspektif sunmakta ve ortak yazar seçimi, dergi seçimi ve ilgili anahtar kelimeler konusunda rehberlik sağlamaktadır. Çalışmanın sonucunda, çiftlik hayvanlarında laktasyon eğrilerinin kullanımı için farklı matematik modellerin kullanılması ve yaygınlaşması gerektiği düşünülmektedir.

References

  • Ali, T.M., Narang, R., Dubey, P.P. and Kaur, S. 2023. Characterization of lactation curve patterns using non-linear models in crossbred dairy cattle. Indian Journal of Animal Research, 57(3): 290-297.
  • Aria, M. and Cuccurullo, C. 2017. bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics. Advance online publication. doi: 10.1016/j.joi.2017.08.007
  • Borghese, A., Boselli, C., and Rosati, R. 2013. Lactation curve and milk flow. Buffalo Bulletin, 32(1): 334-350.
  • Buttchereit, N., Stamer, E., Junge, W. and Thaller, G. 2010. Evaluation of five lactation curve models fitted for fat: protein ratio of milk and daily energy balance. Journal of Dairy Science, 93(4): 1702-1712.
  • Cankaya, S., Unalan, A. and Soydan, E. 2011. Selection of a mathematical model to describe the lactation curves of Jersey cattle. Archives Animal Breeding, 54(1): 27-35.
  • Groenewald, P., Ferreira, A., Van der Merwe, H. and Slippers, S. 1995. A mathematical model for describing and predicting the lactation curve of Merino ewes. Animal Science, 61(1): 95-101.
  • Han, J., Kang, H.J., Kim, M., and Kwon, G.H. 2020. Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019). Journal of Biomedical Informatics, 109, 103516.
  • Marshall, A.C., Lopez-Villalobos, N., Loveday, S.M., Ellis, A. and McNabb, W. 2023. Modelling lactation curves for dairy sheep in a New Zealand flock. Animals, 13(3): 349.
  • Morant, S. and Gnanasakthy, A. 1989. A new approach to the mathematical formulation of lactation curves. Animal Production, 49(2): 151-162. Peralta-Lailson, M., Trejo-González, A.Á., Pedraza-Villagómez, P., Berruecos-Villalobos, J.M. and Vasquez, C.G. 2005. Factors affecting milk yield and lactation curve fitting in the creole sheep of Chiapas-Mexico. Small Ruminant Research, 58(3): 265-273.
  • Pollott, G.E. 2000. A biological approach to lactation curve analysis for milk yield. Journal of Dairy Science, 83(11): 2448-2458.
  • Şahin, A., Ulutas, Z., Yildirim, A., Aksoy, Y. and Genc, S. 2014. Comparison of different lactation curve models of Anatolian Buffaloes. Kafkas Univ Vet Fak Derg, 20(6): 847-855.
  • Torshizi, M.E., Aslamenejad, A.A., Nassiri, M.R. and Farhangfar, H. 2011. Comparison and evaluation of mathematical lactation curve functions of Iranian primiparous Holsteins. South African Journal of Animal Science, 41(2): 104-115.

Bibliometric Analysis of Lactation Curves in Livestock

Year 2023, Volume: 10 Issue: 4, 1009 - 1016, 13.10.2023
https://doi.org/10.30910/turkjans.1333143

Abstract

This study presents a bibliometric analysis of lactation curve modeling in livestock based on 1455 articles from the WOS database spanning 1980 to 2023. It highlights the prominent researcher Macicotta NPP with 26 publications and identifies the University of Cornell as the leading institution in terms of publication count. The Journal of Dairy Science emerges as the most relevant journal in the field, with 393 papers. Among the countries represented, Turkey ranks 13th with 44 studies, primarily conducted in collaboration with other local authors. These findings offer valuable insights for future research endeavors in the domain of lactation curves and provide guidance on coauthor selection, journal selection, and relevant keywords. Therefore, it is suggested in this study that the lactation curve studies should be supported with different math models in livestock.

References

  • Ali, T.M., Narang, R., Dubey, P.P. and Kaur, S. 2023. Characterization of lactation curve patterns using non-linear models in crossbred dairy cattle. Indian Journal of Animal Research, 57(3): 290-297.
  • Aria, M. and Cuccurullo, C. 2017. bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics. Advance online publication. doi: 10.1016/j.joi.2017.08.007
  • Borghese, A., Boselli, C., and Rosati, R. 2013. Lactation curve and milk flow. Buffalo Bulletin, 32(1): 334-350.
  • Buttchereit, N., Stamer, E., Junge, W. and Thaller, G. 2010. Evaluation of five lactation curve models fitted for fat: protein ratio of milk and daily energy balance. Journal of Dairy Science, 93(4): 1702-1712.
  • Cankaya, S., Unalan, A. and Soydan, E. 2011. Selection of a mathematical model to describe the lactation curves of Jersey cattle. Archives Animal Breeding, 54(1): 27-35.
  • Groenewald, P., Ferreira, A., Van der Merwe, H. and Slippers, S. 1995. A mathematical model for describing and predicting the lactation curve of Merino ewes. Animal Science, 61(1): 95-101.
  • Han, J., Kang, H.J., Kim, M., and Kwon, G.H. 2020. Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019). Journal of Biomedical Informatics, 109, 103516.
  • Marshall, A.C., Lopez-Villalobos, N., Loveday, S.M., Ellis, A. and McNabb, W. 2023. Modelling lactation curves for dairy sheep in a New Zealand flock. Animals, 13(3): 349.
  • Morant, S. and Gnanasakthy, A. 1989. A new approach to the mathematical formulation of lactation curves. Animal Production, 49(2): 151-162. Peralta-Lailson, M., Trejo-González, A.Á., Pedraza-Villagómez, P., Berruecos-Villalobos, J.M. and Vasquez, C.G. 2005. Factors affecting milk yield and lactation curve fitting in the creole sheep of Chiapas-Mexico. Small Ruminant Research, 58(3): 265-273.
  • Pollott, G.E. 2000. A biological approach to lactation curve analysis for milk yield. Journal of Dairy Science, 83(11): 2448-2458.
  • Şahin, A., Ulutas, Z., Yildirim, A., Aksoy, Y. and Genc, S. 2014. Comparison of different lactation curve models of Anatolian Buffaloes. Kafkas Univ Vet Fak Derg, 20(6): 847-855.
  • Torshizi, M.E., Aslamenejad, A.A., Nassiri, M.R. and Farhangfar, H. 2011. Comparison and evaluation of mathematical lactation curve functions of Iranian primiparous Holsteins. South African Journal of Animal Science, 41(2): 104-115.
There are 12 citations in total.

Details

Primary Language Turkish
Subjects Stock Farming and Treatment, Sheep and Goat Breeding and Treatment, Animal Science, Genetics and Biostatistics
Journal Section Research Article
Authors

Malik Ergin 0000-0003-1810-6754

Rabia Albayrak Delialioğlu 0000-0002-1969-4319

Yasin Altay 0000-0003-4049-8301

Özgür Koşkan 0000-0002-5089-6250

Publication Date October 13, 2023
Submission Date July 26, 2023
Published in Issue Year 2023 Volume: 10 Issue: 4

Cite

APA Ergin, M., Albayrak Delialioğlu, R., Altay, Y., Koşkan, Ö. (2023). Çiftlik Hayvanlarda Laktasyon Eğrilerinin Bibliyometrik Analizi. Türk Tarım Ve Doğa Bilimleri Dergisi, 10(4), 1009-1016. https://doi.org/10.30910/turkjans.1333143