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Feed Clusters According to In Situ and In Vitro Ruminal Crude Protein Degradation

Affiliation
Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
Okon, Paul;
Affiliation
Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
Bachmann, Martin;
GND
122015207
Affiliation
Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
Wensch-Dorendorf, Monika;
GND
1017999708
Affiliation
Institute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany
Titze, Natascha;
GND
172334497
Affiliation
Institute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany
Rodehutscord, Markus;
Affiliation
Institute of Animal Nutrition and Physiology, Kiel University, 24118 Kiel, Germany
Rupp, Christiane;
GND
141182474
Affiliation
Institute of Animal Nutrition and Physiology, Kiel University, 24118 Kiel, Germany
Susenbeth, Andreas;
GND
1024299562
Affiliation
Julius Kühn-Institute (JKI), Institute for Crop and Soil Science, Germany
Greef, Jörg Michael;
GND
138147167
Affiliation
Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, 06120 Halle (Saale), Germany
Zeyner, Annette

Effective degradation (ED) of crude protein (CP) was estimated in vitro at 0.02, 0.05 and 0.08 h-1 assumed ruminal passage rates for a total of 40 feedstuffs, for which in situ ED was available and used as reference degradation values. For this, the Streptomyces griseus protease test was used. The differences between in vitro CP degradation and the in situ CP degradation values were lowest in legume grains and highest in cereal by-products and barley. The differences between in situ and in vitro ED were expressed using a degradation quotient (degQ), where degQ = (EDin vitro - EDin situ)/EDin situ. Among the tested feedstuffs, eight specific clusters were identified according to degQ for the assumed passage rates. The feedstuffs clustered in an unspecific way, i.e., feedstuffs of different nutrient composition, origin or treatment did not necessarily group together. Formaldehyde–treated rapeseed meal, soybean meal, wheat, a treated lupin, sunflower meal and barley could not be assigned to any of the clusters. Groupwise degradation (range of degQ for assumed passage rates are given in brackets) was detected in grass silages (-0.17, -0.11), cereal by-products together with sugar beet pulp (-0.47, -0.35) and partly in legume grains (-0.14, 0.14). The clustering probably based on different specific nutrient composition and matrix effects that influence the solubility of feed protein and limit the performance of the protease. The matrix can be affected by treatment (chemically, thermally or mechanically), changing the chemical and physical structure of the protein within the plant. The S. griseus protease test had reliable sensitivity to reflect differences between native feedstuffs and treatments (thermally or chemically) that were found in situ. The in situ results, however, are mostly underestimated. The clustering results do not allow a clear conclusion on the groupwise or feed-specific use of carbohydrate-degrading enzymes as pre- or co-inoculants as part of the S. griseus protease test and need to be tested for its potential to make this test more conform with in situ data.

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