Araştırma Makalesi

Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves

Cilt: 34 Sayı: 3 29 Aralık 2017
  • Yalçın Tahtalı *
  • Emine Berberoğlu
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Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves

Öz

The aim of this paper was to describe the effects of calf sex, birth month and type on birth weight using Regression Tree (RT) analysis. For this purpose, 894 Holstein calves data raised in Polatlı State Farm were analyzed. The birth weight of calves averaged 38.478 ± 2.487 kg of total calves born, 95.5 % were single born. Twin born calves weights were lower (35.125 ± 1.652 kg) than single born (38.635±2.408 kg). Male calves were significantly (P<0.05) heavier than females by 1.28 kg. The mean birth weight of twin calves was 3.58 kg lower than that of single. Effects of calving month, sex of calf, birth type on birth weight were all significant (P<0.05).

Anahtar Kelimeler

Kaynakça

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  5. Chang LY and Wang HW (2006). Analysis of traffic injury severity: An application of non-parametric classification tree techniques. Accident Analysis and Prevention 38: 1019-1027.
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  7. Doğan N and Özdamar K (2003). CHAID analysis and an aplication related with family planning. Türkiye Klinikleri J. Med. Sci., 23: 392-397.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yazarlar

Yalçın Tahtalı * Bu kişi benim
Türkiye

Emine Berberoğlu Bu kişi benim
Türkiye

Yayımlanma Tarihi

29 Aralık 2017

Gönderilme Tarihi

16 Haziran 2017

Kabul Tarihi

24 Temmuz 2017

Yayımlandığı Sayı

Yıl 2017 Cilt: 34 Sayı: 3

Kaynak Göster

APA
Tahtalı, Y., & Berberoğlu, E. (2017). Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves. Journal of Agricultural Faculty of Gaziosmanpaşa University, 34(3), 166-171. https://doi.org/10.13002/jafag4320
AMA
1.Tahtalı Y, Berberoğlu E. Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves. Journal of Agricultural Faculty of Gaziosmanpaşa University. 2017;34(3):166-171. doi:10.13002/jafag4320
Chicago
Tahtalı, Yalçın, ve Emine Berberoğlu. 2017. “Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves”. Journal of Agricultural Faculty of Gaziosmanpaşa University 34 (3): 166-71. https://doi.org/10.13002/jafag4320.
EndNote
Tahtalı Y, Berberoğlu E (01 Aralık 2017) Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves. Journal of Agricultural Faculty of Gaziosmanpaşa University 34 3 166–171.
IEEE
[1]Y. Tahtalı ve E. Berberoğlu, “Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves”, Journal of Agricultural Faculty of Gaziosmanpaşa University, c. 34, sy 3, ss. 166–171, Ara. 2017, doi: 10.13002/jafag4320.
ISNAD
Tahtalı, Yalçın - Berberoğlu, Emine. “Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves”. Journal of Agricultural Faculty of Gaziosmanpaşa University 34/3 (01 Aralık 2017): 166-171. https://doi.org/10.13002/jafag4320.
JAMA
1.Tahtalı Y, Berberoğlu E. Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves. Journal of Agricultural Faculty of Gaziosmanpaşa University. 2017;34:166–171.
MLA
Tahtalı, Yalçın, ve Emine Berberoğlu. “Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves”. Journal of Agricultural Faculty of Gaziosmanpaşa University, c. 34, sy 3, Aralık 2017, ss. 166-71, doi:10.13002/jafag4320.
Vancouver
1.Yalçın Tahtalı, Emine Berberoğlu. Regression Tree Analysis for Determination of the Effective Factors on Birth Weight in Holstein Calves. Journal of Agricultural Faculty of Gaziosmanpaşa University. 01 Aralık 2017;34(3):166-71. doi:10.13002/jafag4320