On the basis of model concepts on physical gas exchange a technique was developed for studying the complex interrelationships existing between the characteristics indicating the suitability of a particular material for ensilage and the specific local conditions for silage making at the farm and in a silo. (degree of anaerobic conditions). Conclusions were drawn as to quantitative relations existing between the thickness of the marginal layers of a silage stack that are subject to losses and the compaction of the silage material and the sealing of the silage top during the periods of filling and storage. On the basis of these considerations limits are given for minimum filling of a silo per day of ensilage as depending on the compactness of the consolidated fresh or wilted silage material. Data are given for silage losses at the edged of the silage stack.
Studies of the occurrence of zearalenone in the cutting surface of a horizontal silo were carried out over 12 days. On all sampling days the silage contained less than 0.1 mg/kg zearalenone (detection limit of the thin-layer chromatographic procedure). Zearalenone could not be detected in silage put into interim store over a period of 17 days either. The results document that zearalenone-producing Fusarium species have no considerable share in the decay of maize silage.
A model for the prediction of the silage quality was tested in several large farms in northeast Germany. The model uses data and information on the fresh grass and the application of silage additives at ensiling to evaluate the “ensilability.” During clamp filling, the model analyses information on the filling performance, activity of compacting machines and hermitic covering of the clamp and evaluates the “ensiling technique.” Both “ensilability” and “ensiling technique” are assessed as “good,” “medium” or “bad” and pooled in “silage evaluation grades” 1–5. In the present model version, the predicted silage net energy lactation (NEL) and crude protein (CP) content is between 3% (for the best grade 1) and 15% (for the weakest grade 5) lower than the fresh grass NEL and CP content. In our experiments, all the grass silage production systems were characterized by “good” “ensilability” and “ensiling technique.” Under those circumstances, the experimental results indicated a closer numerical relation between fresh grass and measured silage NEL and CP content than between predicted silage and measured silage NEL and CP content. The results reveal that the model prediction calculation should be changed compared to the present version. If “ensilability” and “ensiling technique” are evaluated as “good,” the predicted silage NEL and CP content should be forecasted in a range between 0% and 3% decrease compared to fresh grass.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.