20.500.12556/RUL-155881 Identification of best growth curve model for Anatolian black cattle Določitev najboljšega modela krivulje rasti za anatolsko črno govedo The aim of this study was to identify the model that best describes the growth trajectory from birth to 24 months of age in Anatolian Black Cattle (ABC) raised for con-servation purposes. A total of 493 weight records of 113 animals at birth, 3, 6, 12, 18, and 24 months were collected. Six different non-linear models were used to describe the growth curve of animals: 2nd degree polynomial, 3rd degreee polynomial, Logistic, Brody, Von Bertalanffy, and Gompertz models. In the study, R2 values of the models were: 0.997, 0.999, 0.953, 0.979, 0.924, and 0.862; corel values (correlation between the observed and estimated curves) were 0.994, 0.998, 0.989, 0.993, 0.961, and 0.703; Residual Standard Deviations (RSD) were 3.216, 1.388, 11.533, 3.561, 14.736, and 27.141, respectively. Given these values, it was found that the 3rd degree polynomial model was the best to describe the growth curve of ABC. As a result of the analyses, it was noticed that the values predicted by this model deviated by 1-3 kg from the observed values in all periods and in all environmental factors examined (sex, dam age, parity, birth year and birth, season). It was found that these differences increased up to 4-5 kg only in the 18-month period. The results also showed that ABC continued to grow after 24 months of age. As a result, traits such as age at sexual maturity, breeding age, and slaughter age can be easily predicted by identifying the model that best describes growth and development in herds. Anatolian black cattle live weight growth curve non-linear models anatolsko črno govedo živa teža krivulja rasti nelinearni modeli deslorelinski implantat dolgo delujoči GnRH true false true Angleški jezik Slovenski jezik Članek v reviji 2024-04-23 12:54:17 2024-04-23 12:54:21 2024-04-24 04:20:22 0000-00-00 00:00:00 2023 0 0 str. 195-203 no. 4 Vol. 60 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2023-01-01 636.2:591.4:661.155.4 1580-4003 10.26873/SVR-1695-2023 187984643 identification.pdf identification.pdf 1 73082F43EA831C72F28112E57C8FF321 3b371b777fe7d9331866ec70d1e49130d2c8b88839ac4264a68daeccb27c1653 755869f4-0161-11ef-9b79-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=183013 https://slovetres.si/index.php/SVR/article/view/1695 1 d82106f7-015f-11ef-9b79-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=183001 Veterinarska fakulteta Slovenian veterinary research 0 0 0