Year 2020, Volume 26 , Issue 2, Pages 173 - 180 2020-06-04

A Bayesian Network Analysis for the Factors Affecting the 305-day Milk Productivity of Holstein Friesians

Volkan SEVİNÇ [1] , Özge AKKUŞ [2] , Çiğdem TAKMA [3] , Öznur İŞÇİ GÜNERİ [4]


The variables affecting the milk productivity have been discussed in various articles through different methods. A recent study using path analysis shows that three variables significantly affect the 305-day milk yield of Holstein Friesian cows. Those variables are parity, first calving year and lactation length. The scope of this manuscript is to provide a simultaneous multilateral analysis among the milk yield, those three variables and a new variable calving season. The analysis was realized through a Bayesian network built over the findings of the path analysis. 17,109 records of Holstein Friesian cows calved between 2001- 2011 years were analyzed. The estimated Bayesian network shows that younger cows produce more milk. Lactation length and parity do not depend on each other. Cows reach their highest amount of milk yield on their 4th parities. Milk yield is mostly affected by lactation length. Finally, first calving year, parity and lactation length should be considered as criteria in a selection study to increase the milk yield while calving season not.0000-0003-4643-443X

305-day milk yield, Holstein Friesians, Bayesian networks
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Primary Language en
Subjects Engineering
Journal Section Makaleler
Authors

Orcid: 0000-0003-4643-443X
Author: Volkan SEVİNÇ (Primary Author)
Institution: MUĞLA SITKI KOÇMAN UNIVERSITY, FACULTY OF SCIENCE
Country: Turkey


Orcid: 0000-0002-3077-0896
Author: Özge AKKUŞ
Institution: MUĞLA SITKI KOÇMAN UNIVERSITY, FACULTY OF SCIENCE
Country: Turkey


Orcid: 0000-0001-8561-8333
Author: Çiğdem TAKMA
Institution: EGE UNIVERSITY, FACULTY OF AGRICULTURE
Country: Turkey


Orcid: 0000-0003-3677-7121
Author: Öznur İŞÇİ GÜNERİ
Institution: MUĞLA SITKI KOÇMAN UNIVERSITY, FACULTY OF SCIENCE
Country: Turkey


Dates

Application Date : September 17, 2018
Acceptance Date : March 11, 2019
Publication Date : June 4, 2020

EndNote %0 Journal of Agricultural Sciences A Bayesian Network Analysis for the Factors Affecting the 305-day Milk Productivity of Holstein Friesians %A Volkan Sevi̇nç , Özge Akkuş , Çiğdem Takma , Öznur İşçi̇ Güneri̇ %T A Bayesian Network Analysis for the Factors Affecting the 305-day Milk Productivity of Holstein Friesians %D 2020 %J Journal of Agricultural Sciences %P -2148-9297 %V 26 %N 2 %R doi: 10.15832/ankutbd.460705 %U 10.15832/ankutbd.460705