B. P. Purwanto
Directorate of Diploma Program, Bogor Agricultural University, Jl. Kumbang No. 14, Bogor 16151

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Akurasi Estimasi Produksi Susu Test Interval Method sebagai Alternatif Seleksi Sapi Peranakan Friesian Holstein di Area Tropika Basah Prabowo, S.; Atabany, A.; Komala, I.; Yani, A.; Cyrilla, L.; Murfi, A.; Purwanto, B. P.
Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan Vol. 1 No. 3 (2013): Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan
Publisher : Department of Animal Production and Technology, Faculty of Animal Science, IPB University in associated with Animal Scientist's Society of Indonesia (HILPI)

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Abstract

The objective of this research was to assess test interval method for estimation of milk yield of Friesian Holstein Breed in tropical condition for alternative selection in herd. Purposive sampling method was used in this research. Milk yield data were collected base on daily yield from 3 heads lactating cows. Estimated milk yield from test interval method and actual milk yield were analyzed using statistical correlation analysis. The results showed that estimated milk yield significantly correlated (P<0.01) to actual milk yield (r = 0.991). The estimation of milk yield of individual cows was lower or higher than that of their actual milk yield at 305 days never more than that of 0.29 to 0.79 %. It was concluded that test interval methodcould be used accurately to estimate milk yield and in addition could be used for selection of Friesian Holstein Breed in wet tropic area
Umur Beranak Pertama terhadap Produktivitas Sapi Perah Periode Laktasi Pertama dan Selang Beranak Pertama Murdani, K.; Purwanto, B. P.; Atabany, A.
Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan Vol. 5 No. 3 (2017): Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan
Publisher : Department of Animal Production and Technology, Faculty of Animal Science, IPB University in associated with Animal Scientist's Society of Indonesia (HILPI)

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Dairy cattle productive period is the best time to earned income. This is strongly influenced by the age factor of the first calving and the milk yield production. Based on that, this research conducted to analyze the differences effect of the age of first calving and calving interval on lactation period. The performance of the productivity period dairy cattle to the age of the first calving, calving interval, the empty period, the dry period and the milk yield. This research uses recorded production data from Dairy Cattle Breeding Center (BPT-SP and HMT) Cikole. The data consists of 42 productive dairy cows during the 2011-2017 maintenance period. The data were grouped by age of first calving K1: age of first calving 22-25 months; K2: age of first calving 26-29 months; K3: age of first calving 30-33 months; K4: age of first calving 34-37 months. The results showed that grouping of the first age calving was significanly in each group K1, K2, K3 and K4. The was significanly effect also exists on total milk production of first and second lactation periods in K1 and K2 more than K3 and K4.The results of the analysis the first calving relationship with the production of first and second lactation  decreased milk yield production during the lactation period.
Model Pertumbuhan Sapi Perah Friesian Holstein (FH) dari Lahir sampai Beranak Pertama di BBPTU-HPT Sapi Perah Baturraden Menggunakan Model Matematik Logistic Ratnasari, D.; Atabany, A.; Purwanto, B. P.; Salma, L. B.
Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan Vol. 7 No. 1 (2019): Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan
Publisher : Department of Animal Production and Technology, Faculty of Animal Science, IPB University in associated with Animal Scientist's Society of Indonesia (HILPI)

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Abstract

This aims of this study is to first child by knowing growth model and creating a standard curve for dairy cattle growth at BBPTU-HPT Baturraden dairy cow in Baturraden district, Banyumas Regency, Purwokerto, Central Java. The data obtained form the primary data, were 353 tails and secondary data of births in 2005-2016 were 1437 tails and. Data were analyzed using SAS 9.4 program with NLIN procedures (Non Linear) using Logistic models. The results show that the Logistic model had a high degree of accuracy with the coefficient of determination (R2) 99.80%.
Botanical Composition and Carrying Capacity in Various Agroecosystems on The Timor Island Habaora, F.; Fuah, A. M.; Abdullah, L.; Yani, A.; Purwanto, B. P.
Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan Vol. 8 No. 2 (2020): Jurnal Ilmu Produksi dan Teknologi Hasil Peternakan
Publisher : Department of Animal Production and Technology, Faculty of Animal Science, IPB University in associated with Animal Scientist's Society of Indonesia (HILPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jipthp.8.2.72-79

Abstract

This research aims to know the type of vegetation, nutrient components of feed and carrying capacity based on agroecosystems on Timor Island conducted from January-March 2018 (transition from the rainy season to the dry season). The research location was chosen purposively so that those it represented the pasture were in the District of Belu, Malaka, and TTU; agriculture in the District of Kupang and Kota Kupang; plantation in Kupang District; and forests in TTS District. Forage samples were taken using the 1x1m2 quadrant method. The quadrant is thrown at random. All vegetation in the quadrant is cut and analyzed in the laboratory. Descriptive data analysis. The result is that the main vegetation types of Bali cattle consumption in pasture agroecosystems is natural grass with a nutrient composition of ash (9.9%), CP (5.7%), CF (38.5%), EE (2.2%), NFE (36.4%) and TDN (42.1%). Agriculture agroecosystem is ricestraw with a nutrient composition of ash (9.6%), CP (5.8%), CF (27.6%), EE (2.1%), NFE (48.8% ) and TDN (52.8%). Plantation agroecosystems is lamtoro with a nutrient composition of ash (13.6%), CP (12.0%), CF (20.4%), EE (3.3%), NFE (42.8%) and TDN (54.9%). Forest agroecosystems is kabesak with a nutrient composition of ash (8.6%), CP (11.5%), CF (26.9%), EE (1.2%), NFE (44.2%) and TDN (53.1%). The carrying capacity of pasture, agriculture, plantation and forest in sequence are very high, namely 4.8 UT and CCI 0.4 with an average body weight of 229.3 kg; 5.6 UT and CCI 0.6 with an average BB of 188 kg; 6.8 UT and CCI 0.7 with an average BB of 227.5 kg; and 5.8 UT and CCI 0.7 with an average BB of 194.9 kg. The entire agroecosystem area on Timor Island is classified as a very critical area.