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    PREDICTION OF BODYWEIGHT OF HOLSTEIN AND BROWN-SWISS MALE CATTLE BY USING DIGITAL IMAGES
    (Univ Agricultural Sciences & Veterinary Medicine Bucharest, 2017) Bozkurt, Yalcin; Mikail, Nazire; Ulusar, Umit Deniz; Aktas, Hakan; Dogan, Cihan
    This research aimed to develop prediction models for accurate estimation of performance and body measurements of beef cattle grown in feedlot beef system by using Digital Image Analysis (DIA). For this purpose, 40 animals were used in total and composed of 20 animals of the Brown Swiss breed and 20 animals of the Holstein breed with the age of about 4-5 months at the beginning of the experiment. Animals were fed the same dietary rations throughout the experimental period of 12 months. When the animals reached 500-550 kg bodyweights (BW), they were slaughtered. The digital images of each live animal were taken and the same parameters (digital wither height (DJWH), digital body length (DJBL), digital body depth (DJBD), digital hip width (DJHW), digital hip height (DJHH) and digital pin bone length (DJPL) were also determined from the images, using the data with 1069 observations for each traits. Then, prediction models were developed by DIA. The linear, quadratic and cubic regression models were performed to predict BW for both breeds and since there was no statistically significant differences (P > 0.05) in body measurements between breeds. The data of these breeds were combined and found that DJBL and DJWH would be the best possible traits in predicting BW (R-2 = 93.9% and 90.7% respectively) among the other measurements. The linear terms of all body measurements by DIA were considered for analysis and they were significant and R2 values for other body measurements DJHW, DJBD, DJHH and DJPL were approximately 78.4, 81.4, 87.7 and 67.7% respectively. It can be concluded that in management situations where BW cannot be measured it can be predicted accurately by measuring DJBL and DJWH alone or both DJBD and even DJHH and different models may be needed to predict BW in different feeding and environmental conditions and breeds.
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    PREDICTION OF CARCASS WEIGHT OF HOLSTEIN AND BROWN SWISS CATTLE GROWN IN A 12-MONTHS INTENSIVE BEEF PRODUCTION SYSTEM BY USING REAL-TIME CARCASS MEASUREMENTS
    (Univ Agricultural Sciences & Veterinary Medicine Bucharest, 2017) Bozkurt, Yalcin; Varban, Stepan; Mikail, Nazire; Dogan, Cihan
    In this study, it was aimed to evaluate the use of some morphometric carcass measurements to predict carcass weight of Holstein and Brown Swiss cattle grown in a 12-months intensive beef production system. Associations between carcass weights (CW) and some carcass measurements such as carcass heart girth (CHG), carcass length (CL) and carcass depth (CD) were examined for prediction ability, using the data with 134 observations for each traits. The linear, quadratic and cubic regression models were performed to predict CW for both breeds and since there were no statistically significant (P > 0.05) differences in carcass measurements between breeds. The data of these breeds were combined and found that CL and CHG would be the best possible traits in predicting CW (R-2 = 57.9 and 50.7% respectively) among the other measurements. The highest R-2 values were obtained from both the equation contained all carcass traits (R-2 = 65.5%) and the equation that included only CHG and CL (R-2 = 65.4%). All type of regressions showed that addition of quadratic and cubic terms contributed little benefit in predicting CW. Therefore, all linear terms of all carcass measurements were considered for analysis and they were significant (P. 0.05) and the R-2 value for other carcass measurement CD was approximately 20.8%. It can be concluded that in management situations where CW cannot be measured it can be predicted accurately by measuring CL and CHG alone and different models may be needed to predict CW in different feeding and environmental conditions and for other breeds.