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Clinical Evaluation Of The Accuracy Of Foetal Radiographic Findings In Parturition Date Prediction Of Small Size Dogs, Panthipa Borikappakul, Nardtiwa Chaivoravitsakul, Rampaipat Penchome, Suppawiwat Ponglowhapan
Clinical Evaluation Of The Accuracy Of Foetal Radiographic Findings In Parturition Date Prediction Of Small Size Dogs, Panthipa Borikappakul, Nardtiwa Chaivoravitsakul, Rampaipat Penchome, Suppawiwat Ponglowhapan
The Thai Journal of Veterinary Medicine
Ultrasonographic measurements of extra-foetal or foetal structures have been reported as an accurate means of predicting the date of parturition in the bitch. However, for many years, radiography has been clinically useful for pregnancy diagnosis, determining the number of foetuses and prolonged foetal death. Guidelines for estimating the canine parturition date based on foetal skeletal mineralization in relation to gestational age and preovulatory LH surge have been applied in small animal practice. The aims of this retrospective study were to evaluate the accuracy of parturition date prediction using foetal radiographic findings in small size dogs (1-10 kg), and to determine …
Artificial Neural Networks Approach For Predicting Methionine Requirement In Broiler Chickens, Chanwit Kaewtapee, Charn Khetchaturat, Rattana Nukreaw, Nuttawut Krutthai, Chaiyapoom Bunchasak
Artificial Neural Networks Approach For Predicting Methionine Requirement In Broiler Chickens, Chanwit Kaewtapee, Charn Khetchaturat, Rattana Nukreaw, Nuttawut Krutthai, Chaiyapoom Bunchasak
The Thai Journal of Veterinary Medicine
The objective of this research was to apply artificial neural networks (ANNs) for predicting the methionine requirement in broiler chickens at day 1-10 (starter period) and day 11-21 (grower period). A total of 28 data was obtained from five hundred and sixty male broiler chicks (Ross 308), which were divided into twenty-eight pens with twenty chickens in each. Body weight was determined at days 10 and 21. A bootstrapping method was used to multiply the observations to overcome the limited data for training. A total of 280 data was obtained and divided into a training set (n = 220) and …