Dissertation > Excellent graduate degree dissertation topics show

Study on Nutritional Value in Common Roughage for Ruminants and Establishment of Prediction Model of Its Bioavaible Energy

Author: TaoChunWei
Tutor: ZhangAiZhong
School: Heilongjiang Bayi Agricultural University
Course: Animal Nutrition and Feed Science
Keywords: Effective Prediction model CNCPS Roughage GI
CLC: S816.5
Type: Master's thesis
Year: 2009
Downloads: 333
Quote: 6
Read: Download Dissertation

Abstract


The tests were ruminants commonly roughage 14 kinds of 25 samples collected from the city of Harbin, Heilongjiang Province, Daqing City, Baoqing 853 farm, farm Hongwei and Qinggang other places. Nutrients indicators measured Heilongjiang Province, 25 kinds of forage, especially CNCPS system increased by a series of new indicators of nutrient vitro (In Vitro) and in vivo (In Vivo) method of combining different roughage rumen fermentation study obtained in vitro determination of value of forage effectively and in vivo measured, to establish a the feed nutrients forecast value of forage effectively can regression equation. Finally, animal trials vitro determination of value and the validity of the predictive value of a comparative study. Designed to provide a convenient means for the assessment of the energy value of the forage. In this study, the following six results: 1. Measured 25 ruminants commonly used conventional roughage nutrients and CNCPS system indicators. Using in vitro gas production technique to study a variety of roughage rumen fermentation of roughage nutritional value of the various areas in Heilongjiang Province measured according to the test results of the preliminary assessment, to provide a basis for scientific utilization of roughage. Get results: legumes, forage in vitro fermentation of better, best quality; the Gramineae class forage fermentation effect is the worst, worst quality; between the middle the silage class, forage and straw forage, silage class forage The quality is better than the straw. Application of two energy value and the GI value of various forage diets vitro derived in vitro digestion method and application the GI value assessment of various forage nutritional value of their diets. The results show that, the pros and cons of three different fiber indicator (NDF, ADF, ADL) obtained roughage graded index (GIN, GIA, GIL) 16 kinds of roughage with the diet quality division order is consistent, that is: the 853 farm alfalfa gt; Daqing alfalfa gt; the Cyclobalanopsis alfalfa gt; Hongwei farms alfalfa gt; a farm silage gt of eight hundred fifty-three; Harbin silage gt; Hongwei Farm ensiling gt; the Daqing silage gt; Daqing L. chinensis gt; Harbin L. chinensis gt; the 853 farm lobular camphor gt; Harbin corn stalks gt; Hongwei Farm lobular camphor gt; Daqing corn stalks gt; the Hongwei farm corn stalks gt; 853 farm corn stalks; the Cyclobalanopsis alfalfa C gt; 853 farm Alfalfa C gt; Hongwei farms alfalfa C gt; Daqing alfalfa C gt; Harbin silage C gt; the 853 farm ensiling C gt; Daqing L. chinensis C gt; Hongwei farm silage C gt; Harbin L. chinensis C gt; Daqing silage C gt; Daqing corn stalks C gt; Harbin corn stalks C gt; the Hongwei farm corn stalks C gt; Hongwei farm lobular camphor C gt; the 853 farm Deyeuxia angustifolia C gt; 853 farm corn stalks C. In which GIL divided on the the roughage quality of the more accurate. Vitro determination of various forage energy value and variety of forage routine laboratory indicators and CNCPS indicators to establish the value of the forecast model can predict forage forage chemical composition, comparative analysis a prediction model created with higher accuracy. Create a model based on the predicted value and feed vitro Found with feed classification not classified to create the model derived from the comparison of the predicted value, to feed the accuracy of the classification model is higher than the classification model established. 6. Vivo metabolism test, get the roughage in vivo effective value of the measured values, and effective use of feed value measured in vivo verify the accuracy of the prediction model, the measured values ??measured in vivo and in vitro results showed that the single forage the predictive value of the classification model established little difference, the higher accuracy of the test to establish the energy value of the prediction model can be used in practice.

Related Dissertations

  1. Study on Quality Change and Prediction Model for Shelf-life of Chilled Pork,TS251.4
  2. Study on Quality Changes and Firmness Prediction Model of Loquat Fruit after Harvest,TS255.4
  3. A Study on the Predictive Model of Health Assessment in Li River, Guiling, Guangxi,X826
  4. Drug Diffusion in Optimizing Control and Its Numerical Method,R91
  5. Effective teaching high school history Implementation Strategy,G633.51
  6. Finite Element Simulation on the Mechanical Properties of the Film/Substrate System in the Process of Nanoindentation,TB383.2
  7. Research on Effective Teaching Strategies of Chemistry Experiment in Junior,G633.8
  8. The Effects of Different Target-controlled Infusion Concentration of Remifentanil to the ECe50 of Propofol with Target-controlled Infusion in Eldly Patients,R614.24
  9. The Relativity Research of Internal Control Risk and Audit Charge,F239.4
  10. Traffic Prediction Model Based on Wavelet and Markov,TP393.06
  11. Efficacy study noncompete agreement,D923
  12. On Public Defender System,D925.2
  13. New High School Curriculum to Create Effective Classroom Strategies to Explore the Physical,G633.7
  14. Research of the Clouding Services Effectively Support Classroom Teaching Based on the Design,G434
  15. Research on Moving Object Detection and Tracking Algorithm in Video Surveillance,TP391.41
  16. Effective Teaching Research on Music Appreciation Lessons Basing on High School Students,G633.951
  17. High School Physics Teachers’ Teaching the Practice and Research of Effective Questions Design,G633.7
  18. A Corpus-based Comparative STudy on Teachers’ Questioning in Senior High EFL Classrooms,G633.41
  19. Studies of Integrated Automation Substation,TM76
  20. The Research on the Effective Integration of Information Technology and English Clasroom Instruction in Senior Middle School,G434
  21. The Research on Sulfur Content Prediction Model for LF,TF769

CLC: > Agricultural Sciences > Livestock, animal medicine,hunting,silkworm,bee > General Animal Science > Feed > Roughage
© 2012 www.DissertationTopic.Net  Mobile