A Path Analysis for Determination of Factors Affecting 305-Day Milk Yield in Jersey Cows

The purpose of this paper was to determine the direct, indirect and total effect of age of calving (AC), year of calving (YC), calving season (SC) and lactation length (LL) on 305-day milk yield (305-DMY) in Jersey cows using path analysis. The data used included 1717 lactation yield records of 617 Jersey cows calving from 2002 to 2012 on the Samsun Karakoy State Farm in Turkey. The results showed that AC, YC, SC and LL had statistically important effects on the 305-day milk yield f the Jersey cows. The results further indicated that the direct and total effects of LL on 305-day milk yield were higher than the effect of AC, YC and SC, although the indirect effect of AC on 305-day milk yield was the highest. As a consequence, to facilitate increasing milk yield per cow, the use of the lactation length provides some useful knowledge for management and the genetic evaluation of Jersey cows.

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  • Anonymous 2015. Path analysis (statistics). http://en.wikipedia.org/wiki/Path_analysis_(statistics), Accessed: 03.11.2015.
  • Bakır G, Çetin M. 2003. Breeding characteristics and milk yield traits of Holstein cattle in Reyhanlı agricultural facility. Turk J Vet Anim Sci, 27 (1): 173-180.Bring J: How to standardize regression coefficients, Am Stat, 48 (3): 209-213, 1994.
  • Cankaya S, Kayaalp GT. 2007. Estimation of relationship between live weights and some body measurements in German Farm×Hair crossbred by canonical correlation analysis. J Anim Prod, 48, 27-32.
  • Cankaya S, Unalan A, Soydan E. 2011. Selection of a mathematical model to describe the lactation curves of Jersey cattle. Arc Tierz, 54 (1): 27-35.
  • Cankaya S. Abaci SH. 2012. Path analysis for determination of relationships between some body measurements and live weight of German fawn× hair crossbred kids. Kafkas Univ Vet Fak Derg, 18(5): 769-773.
  • Choi SB, Lee JW, Choy KH, Na KJ, Kim NS. 2005. Estimates of parameters for genetics relationship between reproductive performances and body condition score of Hanwoo cows. Asian-Aust. J Anim Sci, 18 (7): 909 (Abstract).
  • Curtis CR, Erb HN, Sniffen CJ, Smith, RD, Kronfeld DS. 1985. Path analysis of dry period nutrition, postpartum metabolic and reproductive disorders and mastitis in Holstein cows. J Dairy Sci, 68, 2347-2360.
  • Garson GD. 2015. Path analysis from Lecturenotes, 2008. http://hbanaszak.mjr.uw.edu.pl/TempTxt/Garson_2008_PathAnalysis.pdf Accessed:10.07.2015.
  • Gorgulu O. 2011. Path analysis for milk yield characteristics in Jersey dairy cows. Asian J Anim Vet Adv, 6 (2): 182-188.
  • Guler M, Adak MS, Ulukan H. 2001. Determining relationships among yield and some yield components using path coefficient analysis in chickpea (Cicer arietinum L.). Eur J Agron, 14(2): 161-166.
  • Guneri̇ O, Takma C, Akbaş Y. 2015. Determination of factors affecting 305-day milk production via path analysis on Holstein Friesians. Kafkas Univ Vet Fak Derg, 21(2): 219-224.
  • Korkut ZK, Başer İ, Bilir S. 1993. The studies path coefficient and correlation of drum wheat’s. Symposium of Drum Wheat and Its Products, Ankara, 183-87.
  • Mendes M, Karabayır A, Pala A. 2005. Path analysis of the relationships between various body measures and live weight of American Bronze Turkeys under the three different lighting programs. J Agric Sci, 11 (2): 184-188.
  • Orhan H, Kaşıkçı D. 2002. A study on comparison of the correlation, path and partial regression coefficients. J Anim Prod, 43(2), 68-78.
  • Tahtali Y, Şahin A, Ulutaş Z, Şirin E, Abacı SH. 2011. Determination of effective factors for milk yield of Brown Swiss Cattle using by path analysis. Kafkas Univ Vet Fak Derg, 17 (5): 859-864.
  • Topal M, Esenboga N:. 2001. A Study on direct and indirect effects of some factors on weaning weight of a Awassi lambs. Turk J Vet Anim Sci, 25, 377-382.
  • Unalan A, Cebeci Z. 2004. Estimation of Genetic parameters and correlations for the first three lactation milk yields in Holstein Friesian cattle by the REML method. Turk J Vet Sci, 28, 1043-1049.