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All Journal Jurnal Sain Peternakan Indonesia Jurnal Ilmu Nutrisi dan Teknologi Pakan Biodiversitas Journal of Biological Diversity
Rosmalia, Annisa
Departemen Ilmu Nutrisi Dan Teknologi Pakan, Fakultas Peternakan, Institut Pertanian Bogor, Jl. Agatis Kampus IPB University Dramaga, Bogor, Jawa Barat, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Veterinary

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Seasonal Adaptation in Feed Management: Assessing Forage and Feedstuff Variations in Small-Sized Dairy Farms in Boyolali, Central Java Kumalasari, Nur Rochmah; Suharti, Sri; Zahra, Windi Al; Rosmalia, Annisa; Permana, Idat Galih; Sunardi, Sunardi
Jurnal Sain Peternakan Indonesia Vol 20 No 2 (2025)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jspi.id.20.2.111-116

Abstract

Small dairy farms in tropical regions frequently encounter feed shortages and quality fluctuations between seasons, which can substantially affect milk production. This research aimed to evaluate the ability of small-scale dairy farms to adapt to and manage feed fluctuations in response to seasonal changes.  The research employed an exploratory design, with samples collected using nested sampling methods. Three samples were collected according to the season, specifically during the dry season (August 2024) and the rainy season (January 2025), from the Cepogo and Selo Subdistricts in Boyolali.  Feed samples collection was conducted in five stages: 1) desk study of the research area; 2) field visiting; 3) feed samples; 4) forage samples collection; and 5) feed analysis using proximate analysis (AOAC, 2005).  The results showed differences in feeding management among farmers related to their dairy animal structures.  The highest dry matter content in the forage was found in rice straw (60.4% DM), which dominated dry season use, while the highest crude protein content was observed in calliandra (23.5%) among the forages. Five coproducts have high dry matter content with varying crude protein and crude fibre levels.  The research concluded that small-sized dairy farms can adapt and manage feed fluctuations based on seasonal changes by making forage and concentrate choices available.
Kayu Manis (Cinnamomum burmannii)  dan Bawang Putih (Allium sativum) sebagai Fitogenik Pemodifikasi Rumen: Evaluasi Fermentabilitas dan Protozoa Secara In Vitro: Cinnamon Bark (Cinnamomum burmannii) and Garlic (Allium sativum) as Phytogenic Rumen Modifiers: An In Vitro Evaluation of Fermentability and Protozoa Annisa Rosmalia; Dilla Mareistia Fassah; Rahima Sucita Puteri; Dhona Arbi Nurlela; Dwierra Evvyernie
Jurnal Ilmu Nutrisi dan Teknologi Pakan Vol. 24 No. 1 (2026): Jurnal Ilmu Nutrisi dan Teknologi Pakan
Publisher : Departemen Ilmu Nutrisi dan Teknologi Pakan Fakultas Peternakan Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jintp.24.1.59-63

Abstract

Penelitian ini bertujuan mengevaluasi pengaruh penambahan kayu manis (Cinnamomum burmannii) dan bawang putih (Allium sativum) bubuk sebagai phytogenic additive terhadap fermentabilitas dan populasi protozoa secara in vitro. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) Faktorial 3 x 3 dengan tiga imbangan hijauan:konsentrat (30:70, 50:50, 70:30) dan tiga jenis phytogenic additive (kontrol, kayu manis, bawang putih) pada dosis 2% bahan kering. Parameter yang diamati meliputi pH rumen, konsentrasi amonia (NH3), produksi volatile fatty acids (VFA) total, dan populasi protozoa. Analisis data dilakukan dengan analisis ragam (ANOVA) dan diuji Duncan untuk mengidentifikasi perbedaan signifikan. Hasil penelitian menunjukkan perbedaan imbangan hijauan:konsentrat dan jenis phytogenic additive tidak berpengaruh nyata (p>0,05) terhadap pH rumen, konsentrasi NH3, produksi VFA total, dan populasi protozoa. Penelitian ini menunjukkan kondisi rumen tidak terganggu yang ditunjukkan oleh seluruh parameter berada dalam kisaran normal. Penelitian ini menyimpulkan bahwa perbedaan imbangan hijauan:konsentrat dan phytogenic additive tidak mengganggu keseimbangan rumen.
NIRS-based prediction of mineral content and DCAD status for sustainable livestock nutrition ROKHMATUN ISNAINI; DESPAL DESPAL; IDAT GALIH PERMANA; RIKA ZAHERA; ANNISA ROSMALIA; MUHAMMAD NAUFAL FARRAS
Biodiversitas Journal of Biological Diversity Vol. 26 No. 7 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d260720

Abstract

Abstract. Isnaini R, Despal, Permana IG, Zahera R, Rosmalia A, Farras MN. 2025. NIRS-based prediction of mineral content and DCAD status for sustainable livestock nutrition. Biodiversitas 26: 3281-3293. The Dietary Cation-Anion Difference (DCAD)—the balance between positively and negatively charged minerals (e.g., Na?, K? vs. Cl?, S²?)—is a key factor in maintaining acid-base balance, calcium homeostasis, and metabolic health in dairy cows (Bos taurus (Linnaeus, 1758)). However, DCAD data for individual feedstuffs, especially those used in tropical regions like Indonesia, are largely unavailable, limiting formulation accuracy. This study analyzed the mineral content (Ca, Na, K, Mg, P, S, Cl) of 289 Indonesian feed samples, all feed samples in each category were derived from one species only (66 grasses, 114 legumes, 47 roughages, and 62 concentrates) using wet chemistry, and calculated their DCAD values. Near-Infrared Reflectance Spectroscopy (NIRS) was used to develop predictive models as a rapid, non-destructive, cost-effective, and multi-parameter alternative to laboratory analysis. DCAD values varied widely: most grasses, roughages, and concentrates were negative, while legumes tended to be positive. This variation is nutritionally relevant, as negative DCAD diets are beneficial during the prepartum phase to reduce the risk of hypocalcemia in transition cows. NIRS models showed strong performance (R²>0.8; RPD>1.4), with successful external validation (SEP/SEL<2, except in concentrates). The resulting DCAD database and NIRS models can be integrated into mobile apps or formulation tools to support precision feeding strategies, particularly for managing transition cow health in tropical dairy systems.
Co-Authors Despal Despal Dhona Arbi Nurlela Dwierra Evvyernie Idat Galih Permana Mareistia Fassah, Dilla MUHAMMAD NAUFAL FARRAS Nur Rochmah Kumalasari Rahima Sucita Puteri Rika Zahera, Rika ROKHMATUN ISNAINI Suharti, Sri Sunardi Zahra, Windi Al