Utilization of Bioslurry on Maize Hydroponic Fodder as a Corn Silage Supplement on Nutrient Digestibility and Milk Production of Dairy Cows

Nugroho, Heru Dwi; Permana, Idat Galih; Despal,

doi:10.5398/medpet.2015.38.1.70

Cited by 28 publications

(24 citation statements)

References 10 publications

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“…DMI of feed in this study was lower than [16] of feed in the present study due to the low density of the feed caused by the provision of high fiber feed ingredient. [20] stated that the main factors affecting nutrient intake and rumen fulfillment in dairy cows is structural fiber content in the feed.…”

Section: Dry Matter Intake (Dmi)contrasting

confidence: 66%

“…The results of this study showed a lower than that of [16 [12], except in group T7. Provision of concentrate feed were higher than forage in this study affect the CPI of lactation dairy cows in this study fulfilled based on NRRDC.…”

Section: Crude Protein Intake (Cpi)contrasting

confidence: 52%

“…Milk yield in this study was lower than [17] . DMI of feed determines the amount of available nutrients for basic living and production [16]. [15] stated that the nutrients provided in the feed is converted to metabolites in the rumen and used for energy, glycogen, Licensed Under Creative Commons Attribution CC BY synthesis triasilgliseride, synthesis of fatty acids and synthesis of amino acids in various body tissues of cattle.…”

Section: Milk Yield and Compositionmentioning

confidence: 99%

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Milk Yield and Nutrient Adequacy of Lactating Dairy Cow Fed Based on Tofu Waste, Soybean Hulls and Straw

2017

IJSR

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This study was done to assess the adequacy of nutrient intake and feed efficiency in dairy cows using agricultural byproducts as feedstuff. Treatments of feed in this study refered to the pattern of feed given by farmers with different feed ingredients formula i.e (T1, 21.42% tofu waste; T2, 19.00 % tofu waste; T3, 38.18% tofu waste + 16.50% soybean hulls + 8.86% straw; T4, 32.71% tofu waste + 23.10% straw; T5, 25.20% tofu waste +5.96 % soybean hulls; T6, 9.13% tofu waste + 32.80% straw; T7, 21.99% tofu waste + 28.58% straw; and T8, 30.52 soybean hulls). The variables measured were dry matter intake (DMI), crude protein intake (CPI), total digestible nutrients (TDN), milk production, milk composition and feed efficiency. Data were analyzed using t-test as independent samples. DMI did not met the requirement of dairy cows except for cows received T4 and T3, while the protein requirements of cows met except for cows received T7 while TDN requirement only met for cows received T3, T5 and T6. The highest milk yield was for cows received T8. It can be concluded that the pattern of feeding in Cibungbulang smallholder dairy farm varied so the milk yield also varies and T3 showed the best feed formula.

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Section: Dry Matter Intake (Dmi)contrasting

confidence: 66%

Section: Crude Protein Intake (Cpi)contrasting

confidence: 52%

Section: Milk Yield and Compositionmentioning

confidence: 99%

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Milk Yield and Nutrient Adequacy of Lactating Dairy Cow Fed Based on Tofu Waste, Soybean Hulls and Straw

2017

IJSR

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“…Feeding practices in local dairy farmers do not consider animal nutrient required for maintenance and milk production. Therefore, nutrient provided for the cows could not support a long term persistency of high milk production causing a high replacement rate and low body condition score (Nugroho et al, 2015). The presence of non-fulfillment of the right nutrients was caused by using the inaccurate information of nutrient required and raw material content.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Milk Production and Feed Efficiency Based on Farmers Best Practices and National Research Council

Lestari

Abdullah

Despal

2015

Med Pet

Self Cite

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This study aimed to compare local dairy farmer ration formula with national research council in producing higher feed efficiency and milk production. This study had two stages. The first stage was in vitro study of dairy farmer rations which have different raw materials (R3, R4, and R5) with NRC based ration (R2) and Demo Farm ration (R1). The variables measured in this stage were proximate composition, volatile fatty acid, ammonia, dry matter and organic matter digestibility. The first stage used a randomized block design with five treatments, three groups of ruminal fluid, and three replications. The second stage used nine lactating cows with three periods of lactation (one, three, and other) and used a randomized block design with three treatments, three groups, and one replication. Parameters measured were dry matter intake, manure score, milk production, body weight gain, body condition score, and technical and economical efficiencies. The first stage result showed that R1, R2, and R3 were three best rations in nutrient composition and fermentability (ammonia and volatile fatty acid concentrations were optimum for microbial growth and high digestibility), so in conclusion those three rations were the best rations and should be compared by in vivo method. The result of the second stage showed that all tested rations were not significantly different in milk production, performance and efficiency, so in conclusion those three rations have the same quality.Key words: dairy cattle, milk production, profitability, rations test ABSTRAK Tujuan penelitian adalah membandingkan ransum peternak dengan ransum yang disusun berdasarkan National Research Council (NRC) dalam meningkatkan efisiensi pakan, produksi susu, serta profitabilitas usaha. Penelitian terdiri atas dua tahap. Tahap pertama merupakan uji kualitas ransum peternak berbeda formula (based practise) (R3, R4, dan R5) dari ransum berdasarkan NRC (R2) dan Demo Farm (R1) secara in vitro. Variabel yang diamati adalah komposisi proksimat, volatile fatty acid (VFA), amonia, dan kecernaan bahan kering dan organik. Rancangan percobaan yang digunakan pada tahap satu ialah rancangan acak kelompok dengan lima perlakuan, tiga kelompok cairan rumen dan tiga ulangan. Penelitian tahap dua menggunakan sembilan sapi FH yang terbagi ke dalam tiga kelompok periode laktasi (dua, tiga, dan lainnya) dan menggunakan rancangan acak kelompok, yaitu tiga perlakuan, tiga kelompok laktasi, dan satu ulangan. Peubah yang diamati adalah konsumsi, produksi susu, manure score, pertambahan bobot badan, body condition score (BCS), efisiensi, dan harga ransum. Percobaan tahap satu menunjukkan bahwa R1, R2, dan R3 memiliki kandungan nutrien dan fermentabilitas yang lebih baik (VFA dan amonia optimum untuk pertumbuhan mikrob rumen, serta kecernaan bahan kering dan organik lebih tinggi) sehingga disimpulkan bahwa ketiga ransum tersebut merupakan ransum terbaik dan perlu diujibandingkan secara in vivo. Hasil penelitian tahap dua menunjukkan bahwa ketiga ransum tidak menghasilkan perbedaan y...

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“…Dry matter intake and digestibility of feed for each livestock sub-category, live weight of animals for each sub-category were collected from result of researchs and from published paper (Nurhayu et al 2010;Nurhayu et al 2011;Mathius 2010;Ratna et al 2013;Soeharsono et al 2010;Widyaningrum et al 2013;Koddang 2008;Nugroho et al 2015). Due to the large variations of feed available and offered to the animals in all provinces of Indonesia, the feeds were grouped into 5 types of feed for beef cattle sub-categories.…”

Section: Feed and Gross Energy Intakementioning

confidence: 99%

Methane emission factors for enteric fermentation in beef cattle using IPCC Tier-2 method in Indonesia

Widiawati

Rofiq

Tiesnamurti

2016

JITV

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ABSTRAKWidiawati Y, Rofiq MN, Tiesnamurti B. 2016. Pengaruh emisi gas metana untuk fermentasi enterik pada sapi potong menggunakan metode Tier-2 IPCC di Indonesia. JITV 21(2): 101-111. DOI: http://dx.doi.org/10.14334/jitv.v21i2.1358Gas metana dari enterik fermentasi termasuk ke dalam sub-kategori yang menjadi perhatian di sektor pertanian oleh UNFCCC. Oleh karena itu, Indonesia perlu mengembangkan faktor emisi (FE) untuk gas metana enterik dengan menggunakan metode Tier-2 sebagai FE spesifik negara. Populasi sapi potong merupakan populasi terbesar diantara ternak ruminansia besar lainnya. Sehingga memberikan kontribusi gas metana enterik yang cukup signifikan diantara ternak lainnya. Tujuan dari kegiatan adalah untuk menentukan nilai FE metana enterik dari sapi potong dengan menggunakan metode Tier-2. Nilai FE ini selanjutnya digunakan untuk menghitung emisi metana enterik dari sapi potong di Indonesia. Data populasi sapi diambil dari BPS, data kandungan energi pakan, konsumi dan kecernaan pakan dikompilasi dari hasil analisa laboratorium dan data yang sudah dipublikasi. Sapi lokal mempunyai nilai FE yang berbeda diantara sub-kategori lainnya dan berkisar dari 18,18 sampai 55,89 Kg CH4/ekor/tahun, dengan rata-rata 36,75 Kg/ekor/tahun. Nilai FE untuk sapi impor (25,49 kg CH4/ekor/tahun) lebih rendah daripada rata-rata sapi lokal. Secara keseluruhan, nilai FE nasional untuk sapi potong yang dihitung dengan metode Tier-2 adalah 33,14 kg CH4/ekor/tahun lebih rendah dari default FE yang terdapat dalam buku IPCC 2006 untuk wilayah Asia (47 kg CH4/ekor/tahun). Kesimpulannya adalah bahwa nilai FE yang dihitung menggunakan metoda Tier-2 dengan menggunakan data lokal Indonesia lebih mendekati kondisi peternakan yang sebenarnya di Indonesia. Penelitian kedepan masih diperlukan terkait penentuan nilai FE untuk setiap bangsa sapi potong dan setiap system pemeliharaan yang sangat bervariasi diantara provinsi di Indonesia. Methane emission from enteric is a sub-category considered under the Agriculture sector greenhouse gas emissions by UNFCCC. Thus Indonesia developed calculation on enteric CH4 EF for ruminant using Tier-2 method as country-specific emission factors (EF). Indonesia has huge amount of beef cattle population, which contributes significant amount to national enteric methane emission. The aim of this study was to estimate enteric methane EF for beef cattle in Indonesia using IPCC Tier-2 method. The EF generated from this study is then used to estimate the methane emitted from beef cattle. Data on beef cattle population was obtained from CSA, data on energy content of feed, feed intake and digestibility were compiled from laboratory analysis and published paper. Equations were adopted and followed the instruction of IPCC 2006. Local cattle has different CH4 EF among each sub-category, which are ranging from 18.18 to 55.89 Kg head-1 yr-1, with the average of 36.75 head-1 yr-1. Imported beef cattle has lower CH4 EF (25.49 kg head-1 yr-1) than the average for local beef cattle. Overall, the national CH4 EF of beef ca...

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Utilization of Bioslurry on Maize Hydroponic Fodder as a Corn Silage Supplement on Nutrient Digestibility and Milk Production of Dairy Cows

Cited by 28 publications

References 10 publications

Milk Yield and Nutrient Adequacy of Lactating Dairy Cow Fed Based on Tofu Waste, Soybean Hulls and Straw

Milk Yield and Nutrient Adequacy of Lactating Dairy Cow Fed Based on Tofu Waste, Soybean Hulls and Straw

Comparative Study of Milk Production and Feed Efficiency Based on Farmers Best Practices and National Research Council

Methane emission factors for enteric fermentation in beef cattle using IPCC Tier-2 method in Indonesia

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