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Summative Model for Prediction of Energy Value in Ruminant Feeds
Details
The method of digestibility determination by total faecal collection dates back to the 19th century and is still by far the most precise method for ruminants. Owing to its laboriousness, cost, requirements for large samples and the time involved, numerous alternative techniques have been suggested to predict in vivo digestibility. Also, in the recent years, the Weende system of proximate analysis has been severely criticized by many nutritionists as being archaic and imprecise. Much of the data available on tropical feedstuffs are based on the conventional system of proximate analysis and in vivo digestibility studies (Gohl, 1981). Expression of nutrient composition of feedstuffs has changed considerably in recent years (NRC, 2001;AFRC, 1993).Hence, an attempt has been made in the present work to predict the energy content of tropical forages, tree leaves and crop residues using a combination of chemical and mathematical techniques. This work will help animal nutritionists and research workers to evaluate energy content of feedstuffs rapidly,economically and arrive at logical conclusions.
Autorentext
Dr. KONKA. RAJA KISHORE studied BVSc and MVSC at Sri Venkateswara Veterinary University, Tirupati, INDIA. Presently working as Assistant Professor, Department of Animal Nutrition, NTR College of Veterinary Science, Gannavaram, Krishna District, AP, INDIA. Dr.MANDADI. PARTHASARATHY, PH.D, Professor, College of Veterinary Science, Tirupati, INDIA.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Autor Raja Kishore Konka , Mandadi. Parthasarathy
- Titel Summative Model for Prediction of Energy Value in Ruminant Feeds
- Veröffentlichung 22.07.2010
- ISBN 3838375491
- Format Kartonierter Einband
- EAN 9783838375496
- Jahr 2010
- Größe H220mm x B150mm x T6mm
- Untertitel Equations, Prediction of Available Energy content, Ruminant Feedstuffs
- Gewicht 149g
- Genre Medizin
- Anzahl Seiten 88
- Herausgeber LAP LAMBERT Academic Publishing
- GTIN 09783838375496