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L. Abdullah
Department of Nutrition and Feed Technology, Faculty of Animal Science, IPB University
Agriculture, Biological Sciences & Forestry Energy

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Journal : Tropical Animal Science Journal

 1 
Prediction Accuracy Improvement of Indonesian Dairy Cattle Fiber Feed Compositions Using Near-Infrared Reflectance Spectroscopy Local Database Despal Despal; L. A. Sari; R. Chandra; R. Zahera; I. G. Permana; L. Abdullah
Tropical Animal Science Journal Vol. 43 No. 3 (2020): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2020.43.3.263

Abstract

The accuracy of near infrared reflectance spectroscopy (NIRS) depends on the database generated from the conventional wet chemistry (CWC). Currently, the local database of fiber-source feeds for tropical dairy cattle are still limited. The study aimed to compare CWC and NIRS initial database (NIRSID) results, to predict CWC from NIRSID, and to improve the accuracy of NIRS prediction using local database (NIRSLD). Five feeds as sources of fiber (Napier grass, natural grass, corn leaves, corn husk, and rice straw) from 4 areas of dairy cattle farming were used (4 farms from each area). For external calibration, 20 independent Napier grass samples were tested. Samples were analyzed using NIRS and CWC to measure dry matter (DM), ash, crude protein (CP), ether extract (EE), crude fiber (CF), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), and silica (Si) to calculate hemicellulose, cellulose, and lignin contents. The results obtained by NIRSID were compared to those obtained by CWC using T-test. Predictions of CWC from the results obtained by NIRSID were attempted using regressions. The NIRSLD was developed by inputting the CWC value to NIRS spectrums. Internal calibration and validation as well as external calibration, were run. The results showed that NIRSID has low capacity in determining CWC (R2<0.683). Calibration using local database (NIRSLD) improved CWC prediction accuracy (residual predictive deviation (RPD) > 2 except for DM, EE, CF, ADL, and lignin). External validation showed that CWC and NIRSLD were similar in all parameters (p<0.05). The ratios of the standard error of prediction (SEP) to the standard error of laboratory (SEL) were > 2 for CP, CF, and ADF. It is concluded that the local database of NIRS of fiber-source feeds is necessary to improve the prediction accuracy of local dairy fiber-source feeds values using NIRS.
Estimation of Harvest Time of Forage Sorghum (Sorghum Bicolor) CV. Samurai-2 Using Decision Tree Algorithm K. Suradiradja; I. S. Sitanggang; L. Abdullah; I. Hermadi
Tropical Animal Science Journal Vol. 45 No. 4 (2022): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2022.45.4.436

Abstract

Efforts to improve feed quality by adding additional nutritional supplements can increase production costs due to the increased concentrate prices. Therefore, one option is to combine the main feed with forages containing a high protein source at a low cost, such as Gramineae (e.g., sorghum). This study aims to estimate the harvest time of sorghum when the biomass content, nutrients, and digestibility for livestock are in good condition using a machine learning algorithm, namely a decision tree. The stages of this study include the collection of observation data in the field, preprocessing, modeling, evaluation, and validation. Images and field observations are the primary datasets used. These datasets become the model input for the decision tree algorithm. The results of this study are the classification model for estimating harvest time with an accuracy of 98.86% and the rule that is generated by the decision tree model, the right time to be harvested are in the condition (Day After Planting > 77.5 days AND Day After Planting ≤ 84 days AND Diameter > 26 mm) or (Day After Planting > 84 days AND Height ≤ 138.5 cm AND Leaves > 8.5 pieces) or (Day After Planting > 84 days AND Height > 138.5 cm). In conclusion, the rule generated from the decision tree algorithm can help estimate the fast harvest time of sorghum bicolor cv. Samurai 2.decision tree
Reproductive Performance of Garut Ewes Fed Sorghum-Indigofera after Stimulation with Pregnant Mare Serum Gonadotropin R. Somanjaya; A. M. Fuah; S. Rahayu; L. Abdullah; M. A. Setiadi
Tropical Animal Science Journal Vol. 45 No. 4 (2022): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2022.45.4.451

Abstract

This study aimed to evaluate the effect of mixed feed sorghum-Indigofera on Garut ewes reproductive performance stimulated with Pregnant Mare Serum Gonadotropin (PMSG) hormone. Twenty-eight multiparous Garut ewes were grouped based on feed type (local forage (LF) vs. mixed feed sorghum-Indigofera (SI)), for a 30-day acclimatization period with a completely randomized design. Following acclimatization, all animals were synchronized with PGF2α (i.m.) twice, 11 days apart. Half the population of each group was stimulated with 500 IU PMSG after the second injection. Estrous characteristics were observed for seven days, followed by natural mating. Pregnancy status and the number of fetuses were detected 30 days after mating using ultrasound (USG), and reproductive efficiency was evaluated after parturition. Data during acclimatization were analyzed using a two-sample t-test, while the reproductive performances used a General Linear Model (GLM). Estrous characteristics showed no interaction (p>0.05) between feed types and PMSG stimulation. The onset of estrous in the SI treatment occurred 9.33 hours faster (p<0.05) than in the LF treatment. Meanwhile, the duration of estrous in the group stimulated with PMSG was 18.67 hours longer (p<0.05) than without PMSG. The vulva temperature at standing heat was 38.16±0.69 °C (p>0.05), with the pregnancy rate ranging 42.85%-100%. Interestingly, the SI group treated with or without PMSG had a larger litter size (1.43-4.50) compared to the LF group (1.25–1.33). It is concluded that feeding with SI had improved reproductive success, with the highest number of ewes giving birth. Additionally, the ewes fed SI with PMSG had the largest litter size.
Forage Production and Nutrient Content of Different Elephant Grass Varieties Cultivated with Indigofera zollingeriana in an Intercropping System A. Ernawati; L. Abdullah; I. G. Permana; P. D. M. H. Karti
Tropical Animal Science Journal Vol. 46 No. 3 (2023): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2023.46.3.321

Abstract

A proper planting system and efficient management are needed to cultivate forage effectively. Therefore, this research aimed to evaluate forage production and nutrient content of different elephant grass varieties grown with Indigofera in the intercropping system and were harvested at different intervals of defoliation. The research was conducted in the dry and rainy seasons using a randomized block design with 3 factors (2x2x2) and 4 replications. The first factor was two different elephant grass varieties consisting of cv. Pakchong and Taiwan, the second factor was the planting pattern, including intercropping and monoculture, while the third factor was harvesting age, comprising 50 days and 60 days. The results showed an interaction effect between grass varieties, planting patterns, and harvesting ages. Intercropping the Pakchong varieties with Indigofera and harvesting at 60 days produced the highest forage fresh weight and DM production, ADF as well as NDF contents and yields, CP yield, and the highest carrying capacity (p<0.05) according to DM intake. When harvested at 50 days, Indigofera increased the protein content of forage, but this effect did not occur when it was harvested at 60 days. Furthermore, nutrient yields were not affected by interactions of three factors in the rainy season (p>0.05), but in the dry season, the highest ash and CP yields were produced by the Pakchong variety intercropped with Indigofera and harvesting at 60 days. The highest ADF and NDF yields were obtained from the Taiwan varieties grown in monoculture and harvested at 60 days. Based on the results, it was concluded that the two varieties of elephant grass could be cultivated with Indigofera in the intercropping system and harvesting time of 60 days will produce the highest nutrient yield and carrying capacity.
Co-Authors A. Ernawati A. M. Fuah Despal Despal I. G. Permana I. Hermadi I. S. Sitanggang K. Suradiradja L. A. Sari M. A. Setiadi P. D. M. H. Karti R. Chandra R. Somanjaya Rika Zahera S. Rahayu