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Manalu W

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Author-ID : 410205

Veterinary

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Artificial neural networks simulation to define critical temperature of Fries Holland based on physiological responses D, Suherman; BP, Purwanto; W, Manalu; IG, Permana
Indonesian Journal of Animal and Veterinary Sciences Vol 18, No 1 (2013)
Publisher : Indonesian Animal Sciences Society

Artificial Neural Networks (ANN) simulation for industrial engineering is used to define critical temperature of Fries Holland (FH) heifer based on physiological responses on models to predict heart rate and respiratory rate, using ambient temperature and humidity inputs. The research was conducted using six dairy cattles in Bogor and in Jakarta. The heifers were fed at 6 am and 3 pm daily. The environmental condition (Ta, Rh, THI, and Va) and physiological responses (heart rate and respiration rate) were then measured for 14 days in two months at 1 h intervals started from 5 am to 8 pm. By using this ANN simulation, the critical temperature for FH heifer were defined, from heart rate at Ta 24,5Â°C and Rh 78% at Bogor, and at Ta 23,5Â°C and Rh 88% at Jakarta, from respiratory rate at Ta 22,5Â°C and Rh 78% at Bogor, and at Ta 23,5Â°C and Rh 78% at Jakarta. The respiratory rate on FH heifer was more sensitive to stress due to Ta and Rh fluctuation than the heart rate. Key Words: Artificial Neural Network, Critical Temperature, Heifer, Physiological Respons

Effect of katuk leaf meal and mulberry leaf meal in the diet on size and mineral content of tibia bone of laying quail W, Hermana; T, Toharmat; ., Sumiati; W, Manalu
Indonesian Journal of Animal and Veterinary Sciences Vol 18, No 3 (2013)
Publisher : Indonesian Animal Sciences Society

The objectives of this research was to study tibia bone mineral content and blood profil of laying quail offered control diet (P0); diet with 10% katuk leaf meal /KLM (P1); diet with 10% mulberry leaf meal/MLM (P2); and diet with 5% KLM+5% MLM (P3). A completely randomized design using 4 treatments, 5 replications, and 2 quails of 17 weeks of age in each experimental unit replication was used in this experiment. The data were analyzed using analysis of variance and Duncan test. Parameters observed were tibia bone mineral content. The result showed that quail tibia bone weight and percentage of tibia bone weight were not affected by treatment, but diametre of tibia bone from quail fed mixture of KLM+MLM in the diet shorter (P < 0.05) than that of the other treatment. It wasÂ concluded that KLM and MLM can be used in the diet of laying quail up to 10% without affected the tibia bone mineral content. Key Words: Katuk Leaf Meal, Laying Quail, Mulberry Leaf Meal, Tibia Bone.

Effect of katuk leaf meal and mulberry leaf meal in the diet on size and mineral content of tibia bone of laying quail Hermana W; Toharmat T; Sumiati .; Manalu W
Jurnal Ilmu Ternak dan Veteriner Vol 18, No 3 (2013): SEPTEMBER 2013
Publisher : Indonesian Center for Animal Research and Development (ICARD)

The objectives of this research was to study tibia bone mineral content and blood profil of laying quail offered control diet (P0); diet with 10% katuk leaf meal /KLM (P1); diet with 10% mulberry leaf meal/MLM (P2); and diet with 5% KLM+5% MLM (P3). A completely randomized design using 4 treatments, 5 replications, and 2 quails of 17 weeks of age in each experimental unit replication was used in this experiment. The data were analyzed using analysis of variance and Duncan test. Parameters observed were tibia bone mineral content. The result showed that quail tibia bone weight and percentage of tibia bone weight were not affected by treatment, but diametre of tibia bone from quail fed mixture of KLM+MLM in the diet shorter (P < 0.05) than that of the other treatment. It was concluded that KLM and MLM can be used in the diet of laying quail up to 10% without affected the tibia bone mineral content. Key Words: Katuk Leaf Meal, Laying Quail, Mulberry Leaf Meal, Tibia Bone.

Artificial neural networks simulation to define critical temperature of Fries Holland based on physiological responses Suherman D; Purwanto BP; Manalu W; Permana IG
Jurnal Ilmu Ternak dan Veteriner Vol 18, No 1 (2013): MARCH 2013
Publisher : Indonesian Center for Animal Research and Development (ICARD)

Artificial Neural Networks (ANN) simulation for industrial engineering is used to define critical temperature of Fries Holland (FH) heifer based on physiological responses on models to predict heart rate and respiratory rate, using ambient temperature and humidity inputs. The research was conducted using six dairy cattles in Bogor and in Jakarta. The heifers were fed at 6 am and 3 pm daily. The environmental condition (Ta, Rh, THI, and Va) and physiological responses (heart rate and respiration rate) were then measured for 14 days in two months at 1 h intervals started from 5 am to 8 pm. By using this ANN simulation, the critical temperature for FH heifer were defined, from heart rate at Ta 24,5°C and Rh 78% at Bogor, and at Ta 23,5°C and Rh 88% at Jakarta, from respiratory rate at Ta 22,5°C and Rh 78% at Bogor, and at Ta 23,5°C and Rh 78% at Jakarta. The respiratory rate on FH heifer was more sensitive to stress due to Ta and Rh fluctuation than the heart rate. Key Words: Artificial Neural Network, Critical Temperature, Heifer, Physiological Respons

Co-Authors Hermana W Permana IG Purwanto BP Suherman D Sumiati . Sumiati . Toharmat T

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