Siyah Alaca Süt Sığırlarında Vücut Ölçülerinin Birbirlerine Oranlarının Verim Özellikleri ile İlişkisi
Abstract
Çalışmada, Görüntü İşleme Metotları kullanarak Siyah Alaca süt sığırlarının vücut ölçülerinin ortaya konması, elde edilen vücut ölçülerinin birbirlerine bölünerek oranlar elde edilmesi ve bu oranların verim özellikleri ile ilişkilerinin ortaya konması amaçlanmıştır. Bu amaçla 198 büyük baş Siyah Alaca süt sığırının Sabit Nesne Video Metodu yardımıyla vücut ölçüleri tespit edilmiştir. Tespit edilen vücut ölçüleri birbirlerine bölünerek oranlar elde edilmiş ve bu oranlar ile Günlük Ortalama Süt Verimi (GOSV), Gebelik Başına Tohumlama Sayısı (GBTS), İlkine Tohumlama Yaşı (İTY) ile İlkine Buzağılama Yaşı (İBY) arasındaki ilişkileri ortaya konmuştur. Araştırmada, GOSV, GBTS, İTY ve İBY ile vücut ölçülerinden cidago yüksekliği (CY), sırt yüksekliği (SY), sağrı yüksekliği (SGY), oturak yumru yüksekliği (OYY), göğüs derinliği (GD), vücut uzunluğu (VU), gövde uzunluğu (GU), vücut alanı (VA) ve vücut çevresi (VÇ) arasındaki ilişkinin tüm laktasyon guruplarında düşük, negatif yönlü ve istatistik olarak önemli olmadığı gözlenmiştir (p>0.05). Vücut ölçülerinden elde edilen oranlar modele dahil edilerek GOSV, GBTS, İTY ve İBY’nın tahmini için oluşturulan çoklu regresyon denklemlerine ilişkin en yüksek Determinasyon Katsayısı (R2) değerlerinin GOSV için CY (0.389 (p<0.01)), GBTS için VA (0.344 (p<0.05)), İTY için VÇ (0.266 (p<0.05)) ve İBY için VÇ ile edilen oranların kullanıldığı çoklu regresyon denklemleri olduğu gözlenmiştir. Süt sığırlarında vücut ölçülerinin belirlenmesinde GİM uygulamalarının Klasik Ölçüm Metotları’na (KM) göre daha pratik olduğu söylenebilir. Siyah Alaca süt sığırlarında GOSV, GBTS, İTY ve İBY gibi süt ve döl verimlerinin tahmini için vücut ölçülerinden elde edilen oranlar kullanılarak oluşturulan regresyon denklemlerinin tahmin gücünün düşük olduğu belirlenmiştir.
Keywords
Siyah Alaca süt sığırı Vücut ölçüleri Görüntü işleme Gebelik Başına Tohumlama Sayısı ilkine buzağılama yaşı
Supporting Institution
Tekirdağ Namık Kemal Üniversitesi Bilimsel Araştırma Projeleri Birimi
Project Number
NKUBAP.03.YL.18.141
References
- Akbulut O, Tuzemen N, Yanar M, Aydin R 1998. Relationship of early live weight and body measurements with first lactation milk yield characteristics in brown swiss cattle. Atatürk Üniv. Z.F.Der.:29(2): 250-258.
- Alıç D 2007. Investigations on the conformation traits, herd life and milk yield holst Investigations on the conformation traits, herd life and milk yield holstein cows. ein cows.University of Ankara , Institute of Natural and Applied Sciences, Department of Animal Science. PhD. Thesis. 96 Page, Ankara.
- Dogaroglu OK 2006. Image Processing Technology For Estimating Live Weight And Various Body Sizes In Butchering Cattle. University of Trakya, Institute of Natural and Applied Sciences, Department of Animal Science, Master Thesis. 58 Page, Edirne.
- Hyslop JJ, Ross DW, Schofield CP, Navajas E, Roehe R, Simm G 2008. An assessment of the potential for live animal digital image analysis to predict the slaughter liveweights of finished beef cattle. Proceedings of BSAS. Society's Annual Conference in Scarborough, p:50, 31 March-2 April, Scarborough.
- Kok S 1996. Research on some morphological and genetical characteristics of water buffalo population in various region of Marmara and Karadeniz. University of Trakya, Institute of Natural and Applied Sciences, Department of Animal Science, PhD. Thesis. 206 Page, Edirne
- Kuchida K, Hamaya S, Saito Y, Suzuki M, Miyoshi S 1996. Development of a body dimension measurement method for dairy cattle by computer image analysis with video camera. Ann. Sci. and Tech., 67: 878-881.
- Larroque H, Ducrocq V 2001. Relationship Between Type and Longevity in the Holstein Breed. Genet. Sel. Evol. 33: 39–59
- Mimaryan M, Yener SM 2000. Morpohological characteristics and correlations between live weight and milk yield in Holstein-Friesian cows and opportunities to benefit from them in selection. Tarım Bilimleri Dergisi. 6(2): 82-85.
- Negretti P, Bianconi G 2005. Indirect determination of live weight, dead weight, and yield at slaughtering of chianini beef by means of opto-informatic evaluation methods. 4th World It. Beef Cattle Gubbio Italy, 29 Apr.-1 May, 229-234
- Onal AR 2011. Comparison Of Different Methods Which Are Used For Estimating Morphometric Parameters Of Cattle And Water Buffalos By Digital Image Processing Technology. University of Namik Kemal, Institute of Natural and Applied Sciences, Department of Animal Science, PhD. Thesis. 153 Page. Tekirdag
- Orhan E. 2007. Researches on some physiological and morphological traits of Holstain fresian cows raised in registered herds in Konya. University of Selçuk, Institute of Natural and Applied Sciences, Department of Animal Science, PhD. Thesis. 112 Page. Konya
- Tien NQ, Tripathi VN 1990. Genetic parameters of body weight at different ages and fi rst lactation traits in Murrah buffalo heifers. Indian Vet. J., 67(9): 821-825.
- Tozser J, Sutta J, Bedo S 2000. The evaluation of video pictures for measurements of cattle. Allatteny Takarm. 49: 385–392.
- Yavuz S, Kaygisiz A 2015. Relationships Between Some udder traits and Body Sizes and Somatic Cell Numbers in Holstein Cattle. KSÜ J.of Natural Sciences., 18(3): 9-18.
Relationship Between Production Characteristics and Proportion of Body Measurements of Holstein Cows
Abstract
The objective of this study was to determine Holstein Cattle body measurements using digital imaging DIPM methods. The ratios were calculated by dividing each measurement by another and the relationship between the ratios and the output characteristics were evaluated. For this reason, the body measurements of the 198 heads of Holstein cattle breed dairy cows were calculated by the Set Object Video System (SOVS) process. The ratios were calculated by dividing each body measurement to another then the relationship between these ratios and the characteristics including the daily average milk yield (DAMY), the number of inseminations per calving (NIPC), the age at insemination (AFI) and the age at first calving (AFC) were evaluated. The relationship between DAMY, NIPC, AFI, AFC and body measurements were; withers height (WH), back height (BH), rump height (RH), pin bone height (PBH) ), chest depth (CD), body length (BL), trunk length (TL), body area (BA) and body perimeter (BP) was low, negative and not statistical significantly (p>0.05). The highest R2 measured for DAMY by WH (0.389 (p<0.01), for NIPC by BA (0.344 (p<0.05)), for AFI by BP (0.266 (p<0.05)) and for AFC by BP (0.249 (p<0.05)) used in multiple regression equations. It can be stated that the use of DIPM is more convenient than TM for the body measurement of milking cows. The estimated power of regression equations for estimating milk and reproductive output, such as DAMY, NIPC, AFI and AFC, were low for Holstein cattle breeding cows.
Keywords
Holstein cattle breed Body Measurements Image Processing Number of insemination per conception Age at first calving
Project Number
NKUBAP.03.YL.18.141
References
- Akbulut O, Tuzemen N, Yanar M, Aydin R 1998. Relationship of early live weight and body measurements with first lactation milk yield characteristics in brown swiss cattle. Atatürk Üniv. Z.F.Der.:29(2): 250-258.
- Alıç D 2007. Investigations on the conformation traits, herd life and milk yield holst Investigations on the conformation traits, herd life and milk yield holstein cows. ein cows.University of Ankara , Institute of Natural and Applied Sciences, Department of Animal Science. PhD. Thesis. 96 Page, Ankara.
- Dogaroglu OK 2006. Image Processing Technology For Estimating Live Weight And Various Body Sizes In Butchering Cattle. University of Trakya, Institute of Natural and Applied Sciences, Department of Animal Science, Master Thesis. 58 Page, Edirne.
- Hyslop JJ, Ross DW, Schofield CP, Navajas E, Roehe R, Simm G 2008. An assessment of the potential for live animal digital image analysis to predict the slaughter liveweights of finished beef cattle. Proceedings of BSAS. Society's Annual Conference in Scarborough, p:50, 31 March-2 April, Scarborough.
- Kok S 1996. Research on some morphological and genetical characteristics of water buffalo population in various region of Marmara and Karadeniz. University of Trakya, Institute of Natural and Applied Sciences, Department of Animal Science, PhD. Thesis. 206 Page, Edirne
- Kuchida K, Hamaya S, Saito Y, Suzuki M, Miyoshi S 1996. Development of a body dimension measurement method for dairy cattle by computer image analysis with video camera. Ann. Sci. and Tech., 67: 878-881.
- Larroque H, Ducrocq V 2001. Relationship Between Type and Longevity in the Holstein Breed. Genet. Sel. Evol. 33: 39–59
- Mimaryan M, Yener SM 2000. Morpohological characteristics and correlations between live weight and milk yield in Holstein-Friesian cows and opportunities to benefit from them in selection. Tarım Bilimleri Dergisi. 6(2): 82-85.
- Negretti P, Bianconi G 2005. Indirect determination of live weight, dead weight, and yield at slaughtering of chianini beef by means of opto-informatic evaluation methods. 4th World It. Beef Cattle Gubbio Italy, 29 Apr.-1 May, 229-234
- Onal AR 2011. Comparison Of Different Methods Which Are Used For Estimating Morphometric Parameters Of Cattle And Water Buffalos By Digital Image Processing Technology. University of Namik Kemal, Institute of Natural and Applied Sciences, Department of Animal Science, PhD. Thesis. 153 Page. Tekirdag
- Orhan E. 2007. Researches on some physiological and morphological traits of Holstain fresian cows raised in registered herds in Konya. University of Selçuk, Institute of Natural and Applied Sciences, Department of Animal Science, PhD. Thesis. 112 Page. Konya
- Tien NQ, Tripathi VN 1990. Genetic parameters of body weight at different ages and fi rst lactation traits in Murrah buffalo heifers. Indian Vet. J., 67(9): 821-825.
- Tozser J, Sutta J, Bedo S 2000. The evaluation of video pictures for measurements of cattle. Allatteny Takarm. 49: 385–392.
- Yavuz S, Kaygisiz A 2015. Relationships Between Some udder traits and Body Sizes and Somatic Cell Numbers in Holstein Cattle. KSÜ J.of Natural Sciences., 18(3): 9-18.
Details
| Primary Language | English |
|---|---|
| Journal Section | RESEARCH ARTICLE |
| Authors | |
| Project Number | NKUBAP.03.YL.18.141 |
| Publication Date | December 31, 2021 |
| Submission Date | December 17, 2020 |
| Acceptance Date | January 28, 2021 |
| Published in Issue | Year 2021Volume: 24 Issue: 6 |
Cited By
The principal component of body height linear type traits and the relationship level to milk yields as Holstein cattle selection criterion
Ankara Üniversitesi Veteriner Fakültesi Dergisi
https://doi.org/10.33988/auvfd.1251983
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Published 6 times a year
KSU Journal of Agriculture and Nature
e-ISSN: 2619-9149