Die chirurgische Labmagenreposition ist ökonomisch sinnvoll. Bei älteren Kühen (>5 Jahre) mit hoher Milchleistung und gleichzeitig schweren Begleiterkrankungen (Risikopatienten) ist eine kritische Prognose der Nutzungsdauer angezeigt. Bei Kühen mit einer Nutzungsdauer <1 Monat sind die Laborparameter Protein, Albumin, Beta-Hydroxybutyrat und Cholesterol für die Prognose der Nutzungsdauer nutzbar.

Overall hypothesis in a series of lactation studies reported in this dissertation was that supplementing different rumen modifiers would have consistent responses on ruminal fermentation and lactational performance under optimal ruminal fermentative conditions. First experiment investigated the influence magnesium exchanged zeolite on ruminal fermentation and lactational performance. Intake of dry matter (DM), milk yield, milk fat concentration, and feed efficiency were not affected. Milk protein concentration tended (P = 0.15) to be higher for the zeolite total mixed ration (TMR). Ruminal pH tended to increase (P = 0.11) by feeding the sodium bicarbonate or the zeolite. A second lactation experiment determined the influence of quebracho condensed tannin extract (CTE) on ruminal fermentation and lactational performance. Supplementing CTE decreased intakes of DM and nutrients regardless of forage level thereby increasing feed efficiency. Milk yield and components were not affected. Milk urea N (MUN) and total VFA concentration decreased by supplementing CTE. Cows fed CTE had decreased ruminal ammonia-N and MUN concentrations, indicating that less ruminal N was lost as ammonia. A third lactation trial assessed whole safflower seeds (SS) on ruminal fermentation, lactational performance, and milk fatty acids. Feeding the Nutrasaff SS TMR (NSST) decreased intake of neutral detergent fiber. Digestibilities of nutrients, milk yield and components, ruminal pH, ruminal VFA, and ammonia-N were similar. Ruminal C16:0 fatty acid (FA) concentration increased with the cottonseed TMR (CST), while C18:1 cis-9 and C18:2 n-6 tended (P = 0.10 and P = 0.09, respectively) to increase with SS supplementation. Supplementing SS decreased milk C16:0 concentration, whereas it increased C18:1 cis-9 and C18:1 trans-9. Milk C18:1 trans-11 FA and cis-9, trans-11 conjugated linoleic acid increased and tended (P = 0.07) to increase with feeding the NSST. Feeding zeolite would cost-effectively replace sodium bicarbonate as a ruminal buffer, whereas CTE may change the route of N excretion, having less excretion into urine, but more into feces. Whole SS can be an effective fat supplement to lactating dairy cows without negative impacts on lactational performance and milk FA. These studies demonstrate that the three rumen modifiers can positively manipulate ruminal fermentation.

Bovine somatotropin (bST) is a protein synthesized at the base of the brain and released by the pituitary gland into the circulatory system. BST is transported by the circulatory system and absorbed only by cells of target organs that possess cell surface receptors for the protein (11, 41). Its effect is initiated via a protein receptor initiation and cyclic AMP cascade . This effect on the cell continues well past the degradation of the bST molecule. BST is likely transported into the cell, where it is degraded . Its constituent blocks, amino acids, are used to synthesize new proteins or converted to other metabolites such as sugars (1).

Twenty-four early to midlactation Holstein cows were allocated to one of three treatments. Treatments consisted of: 1) basal ration plus 60 g wheat bran per day per head (control); 2) basal ration plus 57 g yeast culture per day per head; 3) basal ration plus 57 g yeast culture plus 3 g Aspergillus oryzae per day per head. Feed intake and milk yield were recoreded daily and milk composition and body weights were recorded weekly. Feed and fecal samples were recorded weekly. Feed and fecal samples were collected to determine apparent nutrient digestibility. No statistical difference was observed in milk yield among treatments. Percent fat, protein, and solid non fat of milk samples for the control fed group was significantly higher than the other treatment groups. Apparent crude protein, acid detergent fiber, and neutral detergent fiber digestibilities for cows fed the fungal culture treatments were significantly higher. Six rumen-fistulated Holstein cows were randomly assigned to one of three treatments in a 3x3 replicated Latin square design. Rumen pH was significantly lower for cows fed treatment two. Total volatile fatty acid and ammonia nitrogen concentration were higher for cows fed treatment two. Three rumen-fistulated Holstein cows were assigned one of three treatments in a 3x3 Latin square design for an in situ study. Approximately 15 g of grass hay, low quality alfalfa, and high quality alfalfa were sealed in nylon bags and put into the rumen. Samples were analyzed for dry matter, acid detergent fiber, neutral detergent fiber, and crude protein. Regardless of substrate used, dry matter disappearance was lower for control. Regardless of treatment ration fed, high quality alfalfa as a substrate was significantly higher in dry matter disappearance.

Afin de répondre à la diversification des objectifs de la filière laitière (ex. efficacité alimentaire, santé et longévité des animaux, etc.), et ceci dans un contexte de forte volatilité des prix du lait et des intrants, la quantification des réponses multiples aux changements de régimes alimentaires représente un intérêt afin d’aider les producteurs laitiers à optimiser la ration des animaux. Le principal objectif de ce travail a consisté à développer et évaluer un modèle de prédiction des réponses de l’ingestion, de la quantité et composition du lait aux changements de régimes alimentaires chez la vache laitière. Une méta-analyse a ainsi été appliquée sur une grande base de données de la littérature afin de quantifier la réponse de l’ingestion aux régimes, et les réponses laitières (quantité totale, sécrétion des composants du lait et composition du lait) aux changements d’énergie nette (UFL) et protéines métabolisables (PDI) de la ration. Un élément clé dans le développement de ces équations de réponses était qu’elles soient applicables à travers différent potentiel laitier. Ceci a pu être atteint en exprimant les apports PDI et UFL par rapport à une situation nutritionnel pivot, qui correspond à une efficacité d’utilisation des PDI de 67% et une efficacité d’utilisation des UFL par lait de 100% (équivalente à un bilan énergétique nul). Construite à partir des efficacités PDI et UFL, une approche a été proposée pour estimer les apports PDI et UFL à la situation pivot, à partir desquels les équations de réponses peuvent s’appliquer. Evalué sur deux jeux de données indépendants, cette approche a permis de prédire les réponses de production laitière, productions de matières grasses, lactose et protéines du lait aux changements d’apports PDI et UFL avec une bonne précision pour des rations considérablement différentes, et à travers différents stades de lactation. Dans un autre modèle, les effets du stade physiologique (stade de lactation, stade de gestation, croissance) sur les performances animal, i.e. production laitière, productions de matières grasses, lactose et protéines du lait, changement de composition corporelle et ingestion, ont été quantifiés à travers des animaux de potentiel laitier différent. Il a été constaté que la structure du modèle était adéquate pour simuler les performances de différentes races laitières (Holstein, Rouge Danoise et Jersiaise). Afin de prédire les conséquences d’un changement alimentaire sur le long terme, les équations de réponses, centrées sur la situation nutritionnel pivot, ont été intégrées au sein du modèle dynamique. Cette intégration a pu se faire en appliquant le concept du pivot au modèle dynamique afin d’obtenir des courbes pivot, à partir desquelles les lois de réponses s’appliquent. Le modèle construit est le premier à intégrer les deux grands types de régulation biologique (homéostase et l’homéorhèse) chez la vaches laitière permettant de prédire les performances animales à partir d’une définition précise du potentiel laitier. / In order to better cope with the increasing diversity of objective in dairy production (e.g. feed efficiency, animal health, animal longevity, etc.) in a context of high volatility of feed and milk prices, quantification of animal’s multiple responses to dietary changes is of particular interest to help dairy farmers in optimizing the diet. The main aim of the present study was to develop and evaluate a model to predict the responses in dry-matter intake, milk yield, milk component yields and contents to changes in dietary composition in dairy cows. A meta-analysis of the literature was conducted to quantify dry-matter intake response to changes in diet composition, and milk responses (yield, milk component yields and milk composition) to changes in dietary net energy (NEL) and metabolizable protein (MP) in dairy cows. A key point in the development of these response equations was that they could be apply on animals of varying production potential. This was achieved by expressing MP and NEL supply relative to a pivot nutritional status, defined as the supply of MP and NEL resulting to MP efficiency of 0.67 and NEL efficiency of 1. Based on MP and NEL efficiency, an approach was proposed to estimate the pivot MP and NEL supplies, around which the response equations can be applied. Evaluated with two independent datasets, this approach predicted milk yield and milk component yields responses to change in MP and NEL supply with a good accuracy for diets that are substantially different, and across all stages of lactation. In another model, the effect of physiological status (lactation stage, gestation, growth) on animal performance, i.e. milk yield, milk component yields, body composition change and dry-matter intake, were quantified across a range of animal potential. It was found that the model structure was adequate to simulate performance of different dairy breeds (Holstein, Danish Red and Jersey). To predict the long-term consequences of a dietary change, response equations, centred on the pivot nutritional status, were integrated into the dynamic model. This integration has been possible by applying the pivot concept into the dynamic model. This way, lactation pivot curves were calculated, from which response equations are applied. The model built is the first to integrate the two major biological regulations (homeostasis and homeorhesis) in dairy cows that predicts animal performance using a precise definition of milk potential.

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