Journals / Harran Üniversitesi Veteriner Fakültesi Dergisi / 2013 / Cilt: 2 - Sayı: 2

Detection of different shapes of lactation curve described by Ali and schaeffer model in holstein dairy cows

Siyah Alaca ırkı süt ineklerinde Ali-Schaeffer modeli kullanılarak tanımlanmış farklı laktasyon eğrisi biçimlerinin belirlenmesi

Pages
94–101
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Considering the results from this study, parameter values from calculated model parameters should be useable for selection criteria, if environmental factors are taken into account.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of this study was to investigate different lactation curves and to detect the relationship between shape of lactation curves and estimated model parameters from daily milk yield records of Holstein cows bred in Sanliurfa by using five-parameter Ali-Schaeffer model which is known as best way for describing lactation curves.
📊
Key Findings & Data:In this study, 188,316 daily milk yield records of 633 lactations obtained from 211 Holstein cows were used.
💡
Conclusion & Impact:Considering the results from this study, parameter values from calculated model parameters should be useable for selection criteria, if environmental factors are taken into account.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The aim of this study was to investigate different lactation curves and to detect the relationship between shape of lactation curves and estimated model parameters from daily milk yield records of Holstein cows bred in Sanliurfa by using five-parameter Ali-Schaeffer model which is known as best way for describing lactation curves. In this study, 188,316 daily milk yield records of 633 lactations obtained from 211 Holstein cows were used. According to sign of Ali-Schaeffer model parameters, 12 different types of lactation curve were described for 632 lactations. However, only one lactation could not be described. Among 632 lactations, signs of 19 curves for parameter a (peak yield), b and c (yield decline), d and g (yield rise) were found as +, -, - ,-, + respectively and were described as typically lactation curve. Considering the results from this study, parameter values from calculated model parameters should be useable for selection criteria, if environmental factors are taken into account.

Özet

Bu çalışmanın amacı, Şanlıurfa’da yetiştiriciliği yapılan Siyah Alaca ırkı süt ineklerinin günlük süt verim kayıtlarına beş parametreli Ali-Schaeffer modelinin uyumunu yaparak farklı tipte laktasyon eğrilerini saptamak ve laktasyon eğrisi biçimleri ile model parametreleri arasındaki ilişkiyi belirlemektir. Çalışmanın materyalini özel bir süt ve besi sığırı işletmesinde bulunan 211 baş Siyah Alaca ırkı süt ineğinin 633 laktasyonuna ait 188,316 günlük süt verim kaydı oluşturmuştur. Araştırmada kullanılan Ali-Schaeffer modeli parametrelerinin işaretlerine bağlı olarak 632 laktasyon için 12 tip eğri tanımlanmıştır. Bir laktasyon ise tanımlanamamıştır. Toplam 632 laktasyon içerisinde pik verimi belirleyen a parametresi, laktasyon eğrisindeki inişi belirleyen b ve c parametreleri ile yükselmeyi belirleyen d ve g parametrelerine ait işaretleri sırasıyla +, -, -, -, + şeklinde olan sadece 19 adet tipik laktasyon eğrisi biçimi gözlenmiştir. Araştırmadan elde edilen sonuçlar dikkate alındığında, çevre faktörlerini de göz önünde bulundurarak model parametreleri hesaplamak suretiyle elde edilen parametre değerleri seleksiyon ölçütü olarak kullanılabilir.

🔖

Cite This Article

YAZGAN, K., CEDDEN, F., KONCAGÜL, S. (2022). Detection of different shapes of lactation curve described by Ali and schaeffer model in holstein dairy cows. Harran Üniversitesi Veteriner Fakültesi Dergisi, Cilt: 2 - Sayı: 2, 94–101. https://ajindex.com/articles/534422

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (7)

  1. Ali TE, Schaefter LR. 1987. Accounting for covariances among test day milk yields in dairy cows. Can J Anim Sci, 67, 637-644.
  2. Kirkpatrick MD, Lofsvold D, Bulmer M. 1990. Analysis of inheritance, selection, and evolition of growth trajectories. For Genet, 124, 979-993.
  3. Macciotta NPP, Vicario, D, Cappio-Borlino, A. 2005. Detcctionof different shapes of lactation curve for milk yield in dairy cattleby empirical mathematical models. J Dairy Sci, 88, 1178-1191. Meyer K. 1998. Estimating covariance functions for longitudinal data using random regression models. Genet Sel Evol, 30, 221-240. Polott GE. 2000. A biological approach to lactation curve analysis for milk yield. J Dairy Sci, 83, 2448-2458.
  4. Pool MH, Meuwissen THE. 2000. Reduction of the number of parameters needed for a polynomial random regression test day model. Livest Prod Sci, 64, 133-145.
  5. Silvestre AM, Petim-Batista F,Colaço J. 2006. The accuracy of seven mathematical functions in modeling dairy cattle lactation curves based on test-day records from varying sample schemes. J Dairy Sci, 89, 1813-1821.
  6. Tekerli M, Akıncı Z, Doğan I, Akçan A. 2000. Factors affecting the shape of lactation curves of Holstein from the Balıkesir province of Turkey. J Dairy Sci, 83, 1381-1386.
  7. White IMS, Thompson R, Brotherstone S. 1999. Genctıc and environmental smoothing of lactation curves with cubic splines. J Dairy Sci, 82, 632-638. Wilmink JBM. 1987. Adjustment of test-day milk. fat and protein yield for age season and stage of lactation. Livest Prod Sci, 16, 335-348. Wood PDP. 1967. Algebraicmodel of laetation curve in cattle. Nature, 218, 164-165. Wood PDP. 1970. A note on the repeatability of parameters of the lactation curve in cattle. Anim Prod, 12, 535–538.