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ŞENGÜL, ÖMER

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ŞENGÜL

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ÖMER

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    Publication
    Effect of royal jelly on puberty of ewe lambs
    (Polish Soc Veterinary Sciences Editorial Office, 2021-09-01) Sengül, Ömer; İbrahim, A.k; Emsen, Berna; ŞENGÜL, ÖMER; AK, İBRAHİM; Bursa Uludağ Üniversitesi/Ziraat Fakültesi/Zootekni Bölümü; 0000-0001-5078-2002; AAH-2915-2021; EZK-6483-2022
    In this study, we investigated the effect of royal jelly on the puberty of female 1/4 Romanov x 3/4 Morkaraman crossbred lambs. Royal jelly was applied in two ways: orally and intravaginally. The rate of estrus as well as the day and time (in hours) of estrus were observed and determined by real-time ultrasonography (for pregnancy) and laparoscopic surgery (ovary examination). Three groups of lambs were observed. The first group, consisting of 15 female lambs, was treated intravaginally; in the second group, 15 female lambs were treated orally; and the third group, which served as control, consisted of 10 ewe lambs that were not treated with royal jelly. Estrus rates in the intravaginally and orally treated groups were 13% and 20%, respectively, whereas the control group showed no estrus activity. However, estrus interval in both groups was observed 3-5 days after the withdrawal of the treatment. All the animals had an active ovary when observed during estrus activity by ovary examination. Yearling 1/4 Romanov-bred ewes respond positively to royal jelly application. Increasing the doses and extending the duration of royal jelly application might yield better results.
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    Use of multivariate adaptive regression splines (MARS) for predicting parameters of breast meat in quails
    (Pakistan Agricultural Scientists Forum, 2020-08-01) Şengül, Turgay; Çelik, Şenol; Şengül, Ömer; ŞENGÜL, ÖMER; Bursa Uludağ Üniversitesi/Ziraat Fakültesi/Hayvancılık Bölümü. Bilim; 0000-0001-5078-2002; AAH-2915-2021
    The aim of this study was to determine the effects of variety and sex on the color of the breast meat (brightness: L*, red color: a*, yellow color: b*) in quails. In this study, a total of 144 quails from three different varieties (Wild-type, Dark Brown and Golden) were employed. The color and pH parameters of the breast meat were measured in quails slaughtered in week 10. In order to predict the brightness (L*), red color (a*), and yellow color (b*) values of the breast meat, Multivariate Adaptive Regression Splines (MARS) models were implemented. When determining the best model, attention was paid to minimize the Generalized Cross Validation (GCV), Root Mean Square Error (RMSE), and Mean Absolute Deviation (MAD) statistics and to maximize coefficient of determination (R-2) and adjusted R-2 values. In the MARS models constructed to predict L*, a* and b*, it was found that R-2 values were 0.999, 0.999, and 0.999; adjusted R-2 values were 0.997, 0.992, and 0.996; and RMSE values were 0.068, 0.082, and 0.038, respectively. As a result, it could be suggested that MARS modeling may be a useful tool for the prediction of the color parameters of the breast meat.