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All Journal Jurnal Peternakan Indonesia Pembangunan Pedesaan Prosiding Animal Production : Indonesian Journal of Animal Production Bulletin of Applied Animal Research Jurnal Abdi Masyarakat Indonesia Jurnal Ilmiah Ilmu-Ilmu Peternakan ANGON: Journal of Animal Science and Technology Jurnal Agripet Animal Production
Setya Agus Santosa
Universitas Jenderal Soedirman
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Engineering Environmental Science Immunology & microbiology Public Health Veterinary Other

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Journal : Animal Production

 1 
Study of Non-Genetic Factors Affecting Dairy Cow's Milk Production and the Development of Correction Factors for Selection of FH Cattle in Indonesia Agus Susanto; Dattadewi Purwantini; Setya Agus Santosa; Dewi Puspita Candrasari
ANIMAL PRODUCTION Vol. 25 No. 2 (2023)
Publisher : Faculty of Animal Science, Jenderal Soedirman University in associate with the Animal Scientist Society of Indonesia (ISPI) and the Indonesian Association of Nutrition and Feed Science (AINI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jap.2023.25.2.221

Abstract

The purpose of this study is to identify the non-genetic variables that have a substantial impact on the milk output per lactation of FH dairy cows at BBPTUHPT Baturraden and to construct variables' correction factors. The National Dairy Cow and Forage Breeding Center (BBPTUHPT) of Baturraden provided the secondary data for the study, which included 1,942 unique records of the amount of milk produced per lactation by 1,015 FH dairy cows born between 2000 and 2014 (a total of 1,015 lactation records). Milk output per lactation, the number of milking days (100–600), the age at calving (575–2,993 days), the lactation phase (lactation 1-6), and the season of birth were among the studied variables. The F test was used to examine the impact of non-genetic factors on the amount of milk cows produce per lactation (ANOVA). The impact of season on milk output per lactation was examined using a student t-test. Utilizing the multivariate least squares method, correction factors were created. Age at calving, which ranges from 1750 to 2000 days, milking days, which range from 300 to 350, and the dry season serve as the primary benchmarks for constructing correction factors. The R program was used to generate and run statistical tests and graphic representation. The findings indicated that the age of calving and lactation period had a very strong correlation (r= 0.94). The number of milking days, age at calving, and season at birth all significantly affected milk output per lactation, with the variance contributing 84.16 percent to the overall variation, according to the results of multivariate analysis (P < 0.01). Actual milk production had a mean (standard deviation) of 3710.55 kg, while adjusted milk production had a mean (standard deviation) of 5167.91 kg. The adjustment parameters can lower the variation in milk production each lactation by 57.92%. (43.00 percent vs 18.09 percent). Conclusion: Non-genetic variability was successfully reduced by correcting milk production data on the number of days of milking, age at calving, and season at birth.
Performance Test to Select Female Tegal Ducks Based on Production Characteristics Purwantini, Dattadewi; Santosa, R Singgih Sugeng; Santosa, Setya Agus; Susanto, Agus; Candrasari , Dewi Puspita
ANIMAL PRODUCTION Vol. 26 No. 1 (2024)
Publisher : Faculty of Animal Science, Jenderal Soedirman University in associate with the Animal Scientist Society of Indonesia (ISPI) and the Indonesian Association of Nutrition and Feed Science (AINI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jap.2024.26.1.192-1

Abstract

This study aims to determine the increase in production capacity through genetic quality improvement using selection techniques with the production capability test method in Tegal ducks. The research was conducted using an experimental method, using a nested pattern experimental design, male as treatment, female as sub-treatment, offspring as replicates, and production characteristics as observations. The selection population of Tegal ducks consisted of 10 males, 50 females, and their offspring. Production characteristics recorded included egg weight, hatching weight, and egg production. Egg production measured was Hen Day Production (HDP) at the initial laying period for 90 days. Assessment of genetic quality using individual breeding values (BV). Each individual's breeding value is calculated, and then the estimated breeding value (EBV) results are arranged based on their rank. Selection of parent candidates is done by maintaining 25, 50, and 75% of the total population. Selection results are obtained by estimating the selection response using different selection intensities. The results showed that the average and standard deviation of the characteristics of egg weight, hatching weight, and percentage of egg production in Tegal ducks were 67.76 ± 4.57 g, 40.40 ± 2.16 g, and 63.33 ± 10.89 %, respectively. Heritability values (h2) and standard error of egg weight characteristics, hatching weight, and percentage of egg production in Tegal ducks were 0.47 ± 0.032, 0.39 ± 0.0589, and 0.512 ± 0.071, respectively. The assessment for selection response was conducted based on three factors - egg weight, hatching weight, and percentage of egg production each week. The proportions were maintained at 25%, 50%, and 75%, respectively. The egg weight proportions were 0.46, 0.29, and 0.15, while the hatching weight proportions were 0.71, 0.45, and 0.23, respectively. The percentage of egg production each week was 47.92%, 30.18%, and 15.85%, respectively. The study’s results revealed that the intensity of selection and selection response of the Tegal duck were higher when smaller proportions were used in the selection process. It should be noted that the production characteristics used in the selection process were different, which resulted in varying heritability values and selection responses. Overall, these findings suggest that careful consideration of the selection factors is necessary to achieve optimal results in the selection process of the Tegal duck
The Nutrition Quality of Cassava Leaf Silage with Different Fermentation Lengths Hindratiningrum, Novita; Fitria, Restuti; Santosa, Setya Agus
ANIMAL PRODUCTION Vol. 25 No. 3 (2023)
Publisher : Faculty of Animal Science, Jenderal Soedirman University in associate with the Animal Scientist Society of Indonesia (ISPI) and the Indonesian Association of Nutrition and Feed Science (AINI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jap.2023.25.3.222

Abstract

This study aimed to observe the nutrition contents (crude protein/CP, crude fiber/CF, crude fat/CFat, and nitrogen-free extract/NFE) of cassava leaf silage using rice bran and starter EM-4 as the source of carbohydrates, with different fermentation lengths. The Completely Randomized Design was applied to four treatments (fermentation lengths) and five replicates. The treatments were P0 = 0-day fermentation, P1 = 7-day fermentation, P2 = 14-day fermentation, and P3 = 21-day fermentation. The obtained data were subjected to Analysis of Variance (ANOVA) and continued with Duncan’s Multiple Range Test (DMRT). The results showed that the fermentation lengths significantly affected the nutrient content of cassava leaf silage. The post hoc DMRT indicated different levels of CP, CFat, and CF across treatments, while R0 and R1 shared equal NFE. The difference and similarity of nutrient quality across treatments were due to different phases in fermentation. Day 0 through day 7 was the lag phase, and day 14 was the exponential phase which would decline until day 21 when it reached the stationary phase. Conclusively, 14-day fermentation was the best duration to make cassava leaf silage.
Co-Authors A.T Ari Sudewo A.T. Ari Sudewo A.T. Ari Sudewo Agus Susanto Agus Susanto Agus Susanto Agus Susanto Agus Susanto Agus Susanto Agus Susanto Anjang Taruno Ari Sudewo Annisah Nur Rahmah Ari Dwi Nurasih Ayu Rahayu Candrasari , Dewi Puspita Chomsiatun Nurul Hidayah Chomsiatun Nurul Hidayah Chomsiatun Nurul Hidayah Cici Rahayu Sariningsih Cici Rahayu Sariningsih Dattadewi Purwantini Dattadewi Purwantini Dattadewi Purwantini Dattadewi Purwantini Dattadewi Purwantini Dewi Puspita Candrasari Dewi Puspita Candrasari Elly Tugiyanti Elly Tugiyanti Hidayah, Chomsiatun Nurul Ida Ayu Putu Sri Widnyani Ismoyowati Juni Sumarmono Muhamad Bata Novita Hindratiningrum Novita Hindratiningrum Nurul Pratiwi Purwantini, Datta Dewi Rahayu Sri Pamungkas Rahmah, Annisah Nur Restuti Fitria Risqiati, Heni Rozzak, Ilham Abdul Santosa, R Singgih Sugeng Setiawan, Dika Triana Setyawardani Triana Yuni Astuti Widodo, Hermawan Setyo Widodo, Tri Agung Wahyu