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 fibersource feeds is necessary to improve the prediction accuracy of local dairy fiber-source feeds values using NIRS.

Green house fodder (GHF) is high quality forage that is produced by hydroponic vertical farming system in green house in short time. Silage is also high quality feed that is available all year rounds. The research aimed to evaluate productivity and nutritive value of mungbean's GHF and its supplementation effect with and without silages based ration on dairy cow performances. The research was divided into two experiments. The first experiment studied the seed density (A1= 1.5 kg/ m 2 ; A2= 2.5 kg/m 2 ; A3= 3.5 kg/m 2 ) in bioslurry:ABmix 25:75 media as nutrient solution and used randomized block design. The second experiment studied mungbean's GHF supplementation that used twelve lactating dairy cows with 2 x 2 randomized factorial block design 2 x 2. Factor 1 compared silages utilization (S0= without silages; S1= silages) and factor 2 tested mungbean's GHF supplementation level (G0= 0% DM; G1= 5% DM). The results showed that A1 produced the highest biomass conversion (5.27). GHF had high digestibility and fermentability indicated that GHF had potential as dairy feed. Supplementation of GHF increased nutrient intake. Silage is a high quality feed, so that GHF supplementation did not give significant effects on nutrient digestibility and milk production. It can be concluded that the low seed density (1.5 kg/m 2 ) had high productivity and nutrition quality, and its supplementation increased nutrient intake, but did not affect nutrient digestibility and milk production.Key words: green house fodder, mungbean, bioslurry, dairy cow, silages ABSTRAKGreen house fodder (GHF) merupakan hijauan berkualitas tinggi yang dihasilkan dari sistem penanaman vertikal dalam waktu singkat secara hidroponik di rumah kaca. Silase juga merupakan pakan berkualitas yang dapat tersedia sepanjang tahun. Penelitan ini bertujuan untuk melakukan evaluasi produksi dan kualitas nutrisi GHF kacang hijau pada kerapatan berbeda, serta pengaruh suplementasinya pada ransum tanpa dan berbasis silase pada performa sapi perah. Penelitian ini dibagi menjadi dua tahap percobaan. Percobaan ke-1 menguji kerapatan biji (A1= 1.5 kg/m 2 ; A2= 2.5 kg/m 2 ; A3= 3.5 kg/m 2 ) dalam media bioslurry:abmix 25:75 dengan rancangan acak kelompok yang dikelompokkan menjadi 3 kelompok. Percobaan ke-2 menguji suplementasi GHF kacang hijau pada ransum yang berbeda menggunakan 12 ekor sapi perah laktasi dengan rancangan acak kelompok faktorial 2 x 2 yang dikelompokkan menjadi 3 kelompok. Faktor 1 membandingkan penggunaan silase (S0= tanpa silase; S1= silase) dan faktor 2 menguji taraf suplementasi GHF kacang hijau (G0= 0% BK ; G1= 5% BK). GHF dengan kerapatan A1 menghasilkan konversi biomassa tertinggi (5.27). GHF memiliki kecernaan dan fermentabilitas yang tinggi sehingga memiliki potensi sebagai pakan sapi perah. Suplementasi GHF dapat meningkatkan konsumsi nutrien. Silase merupakan pakan berkualitas tinggi, sehingga suplementasi GHF tidak memberikan pengaruh terhadap kecernaan nutrien dan produksi susu. Kesimpulannya, kerapatan biji 1.5 kg/m 2 dapat menghasilka...

The current milk price system based on Total Plate Count (TPC) and Total Solids (TS) are less sensitive in determining milk quality. Milk fatty acids profiles reflected milk quality for human health. However, their determination using Gas Chromatography (GC) is impracticable to be included as a daily price decision determinant. The study aimed to find a model for milk value added based on milk fatty acids profiles that reflected milk quality for human health measured by pre-calibrated rapid Fourier Transform Near-Infrared Reflectance Spectroscopy (FT-NIRS) method. Two hundred fifty-six samples of milk were collected from 3 dairy farm areas. Samples were analyzed using a Milkotronic milk analyzer for fat, protein and lactose contents and Gas Chromatography (GC) for fatty acids. The data were inputted into the FT-NIRS spectrum for calibration. The regression model to calculate milk value-added that can be used as a bonus system was developed after classifying and weighting of Milk Fatty Acid Index (MFAI) determined based on expert judgment. The results showed that milk fatty acids profiles vary greatly. Eight parameters (CLA, C16:0, SFA, MUFA, LCFA, PUFA, C18:2 trans9, 12 and H/H) can be detected accurately using FT-NIRS and used in milk value-added calculation. Simpler equation was used Y = 16.38307 + 5.395582 CLA + 0.695062 PUFA -0.0244 C18:2, trans 9, 12 with R 2 = 0.950 and was validated insignificantly different as calculated from the 8 parameters. It is concluded that the milk processing industry can use milk fatty acids generated from FT-NIRS to add value to milk collected from smallholder farmers.

Near Infrared Reflectance Spectroscopy (NIRS) accuracy is affected by its database. However, our previously developed database for dairy cattle dietary fiber feed (DFF) showed low accuracy for complex organic substance detection due to mixed-species used in the database. This paper aimed to compare single and mixed-species NIRS database accuracy in predicting DFF nutrient contents. In the mixed database, five feeds from three areas of dairy cattle farming were sampled. In the single database, thirty Napier grass from 30 areas were collected. Samples were analyzed chemo-metrically for their nutrient contents. Spectra of each sample were collected three times (two spectra for calibration and a spectrum for validation) using FT-NIRS Spectrometer Solid Cell. Calibration and validation models were carried out using the Partial Least Squares (PLS) regression. For external validation, seven independent Napier grass samples were tested. The result showed that the single species NIRS database developed using Napier grass was less accurate than mixed-species DFF due to huge nutrient content variations between varieties of Napier grass. It is concluded that database accuracy developed from mixed dietary fiber feed were more accurate in comparison to single species and suggested to used combination of mixed and single database for more accurate DFF prediction.

Information on dairy fibre feed digestibility is important in ration formulation to better predict dairy cattle performance. However, its measurement takes time. Near-infrared reflectance spectroscopy (NIRS) is a rapid, precise, and cost-effective method to predict nutrient value, such as chemical content and digestibility of feedstuffs. This study aims to develop a database for an in vitro digestibility prediction model using NIRS, including dry matter digestibility (DMD), neutral and acid detergent fibre digestibility (NDFD and ADFD), and hemicellulose digestibility (HSD). Eighty dietary fibre feeds consisting of Napier grass, natural grass, rice straw, corn stover, and corn-husk were collected from four dairy farming areas in West Java (Cibungbulang District of Bogor Regency, Parung Kuda District of Sukabumi Regency, Pangalengan District of Bandung Regency, and Lembang District of West Bandung Regency). The spectrum for each sample was collected thrice using NIRSflex 500, which was automatically separated by 2/3 for calibration and 1/3 for validation. External validation was conducted by measuring 20 independent samples. Calibration and validation models were carried out by NIRCal V5.6 using the partial least squares (PLS) regression. The results showed that all parameters produce r2 > 0.5 except for ADFD. Relative prediction deviation (RPD) > 1.5 was only found in hemicellulose digestibility prediction. RPL (SEP/SEL) <1.0 were found in DMD and hemicellulose digestibility. It is concluded that hemicellulose digestibility can be predicted using NIRS accurately while other parameters need improvement.

There is a lack of nutrition information on local feeds protein in Indonesia, especially to determine protein fraction of dairy feed. The objective of this study was to determine rumen degradable protein (RDP) of local feeds in dairy cattle using in sacco method. The local feeds are copra meal, palm kernel meal, coffee husk, tofu waste, soy-sauce waste, brewer waste, and habbatussauda waste. Two ruminal fistulated male Frisian Holstein were used to determine rumen degradable protein using in sacco method. The parameters observed include the estimated kinetic parameters, effective degradability (ED), and RDP. The parameters were evaluated with analysis of variance using SAS University software. The result showed that tofu waste and habbatussauda waste had high potential rapid degradation of CP following by brewer waste, palm kernel waste, soy-sauce waste, copra meal, and coffee husk. Habbatussauda waste had higher RDP followed by brewer waste, tofu waste, copra meal, palm kernel meal, soy-sauce waste, and coffee husk. There was a positive correlation between RDP and crude protein content, and a negative correlation between RDP and crude fiber. It is concluded that local feeds have various characteristics of quality feed protein, which is shown by rumen degradable protein and rumen undegradable protein.

Supplementation of oil rich in unsaturated fatty acids (FAs) such as canola, soybean, and palm oils improved the quality of milk fatty acids. However, the unprotected unsaturated oil might impair rumen fermentation, feed, and fiber digestibility. A study was conducted to determine the best type of oil supplementation (factor A) including canola (A1), soybean (A2), or palm (A3) and level oil supplementation (factor B) including B0 = 0%, B1 = 1%, B2 = 2% or B3 = 3%) on the in-vitro feed fermentation and digestibility. The study used a 3 x 4 factorial block design. Two-stages were used to measure the pH, ammonia (NH3), volatile fatty acids (VFAs), protozoal number, dry matter (DMD), organic matter (OMD), neutral detergent fiber (NDFD), and acid detergent fiber (ADFD) digestibility. The results showed that oil type did not significantly influence the fermentability (pH, NH3, VFAs, and protozoa) and feed's digestibility (DMD, OMD, NDFD, and ADFD) but oil level influence the fermentability and digestibility significantly. In addition, an increase above 1% in oil levels reduced protein fermentability, protozoal number, DMD, and OMD, but increased VFA. It is concluded that the addition of unprotected canola, soybean, or palm oil in dairy cattle ration could be applied in a concentration not more than 1%.

In vitro digestibility methods have been developed to overcome problems in the in vivo digestibility measurement, but its accuracy should be tested in a local setting. In vitro methods developed by Tilley and Terry (T2), Theodorou (T3) and Sutardi (T4) have been compared to in vivo method (T1) in a block randomized design study. Four heifers FH (337.50 ± 45.87 kg BW) were used in T1, and two fistulated FH bulls (510 ± 20 kg BW) were used as inoculant sources in the in vitro methods. Dairy cattle ration consisted of 54.0% Napier grass and 46.0% concentrate with 58.8% DM, 12.1% ash, 10.0% CP, 3.3% EE, 26.5% CF, and 61.1% TDN. The observed parameters were ration fermentability (pH, NH3, and VFA concentration) and digestibility (DMD and OMD). The data were analyzed using analysis of variance (ANOVA) followed by the Tukey test. The correlation was made before regression analysis to estimate the in vivo parameters from the in vitro. The results showed that pH values are in the normal range (6.7 – 6.8), and insignificantly different between treatments (P>0.05). The concentration of NH3 and VFA were significantly different between the treatments (P<0.05), but T2 produced similar NH3 and VFA concentrations to T1. Similar results were also found in the DMD and OMD. Correlation analysis showed that pH value of T3 correlated significantly with T1, while DMD value of T4 correlated to T1. The T1 DMD (Y) could be estimated from T4 DMD (X) using formula Y (%) = y = -0.091x2 + 9.1632x - 168.4. It is concluded that tropical dairy feedstuffs in vitro digestibility using Tilley and Terry’s method produced similar result to in vivo digestibility method, but in vivo dry matter digestibility can be estimated accurately by in vitro dry matter digestibility using Sutardi method.