Dairy Research Facility Dairy Research Facility

Süt Araştırma Tesisi

Trouw Nutrition'ın Kempenshof Süt Ürünleri Araştırma Tesisi, Hollanda'nın Boxmeer şehrinde bulunmaktadır. Kempenshof, yem ve su alımını hassas bir şekilde ölçmek ve hayvan sağlığı ve performansını yakından izlemek için bilimsel olarak sağlam yollar yürütmemizi sağlamak için en son bilimsel ve deneysel teknolojiyle donatılmış ticari bir süt çiftliğidir.

Çiftlik Hakkında

Trouw Nutrition, 25 yılı aşkın bir süredir Kempenshof çiftliğine sahip olan Van Kempen ailesinin kayıtlı ortağıdır. Çiftlik 135 süt ineği ve 75 buzağı için alana sahiptir ve 30 hektar çim ve 12 hektar mısır ile çevrilidir. Kempenshof'ta, LifeStart felsefemizi destekleyecek kanıtlar sağlamak için doğumdan son laktasyona kadar buzağıların gelişimini takip ediyoruz. LifeStart'a göre, bir buzağının yaşamının ilk iki ila üç ayının, hayvanın bir süt ineği olarak tüm yaşamı boyunca üretkenliği ve uzun ömürlülüğü üzerinde büyük bir etkisi olduğuna inanıyoruz ve bu nedenle, yavru hayvanların buzağılarda dikkatle izlenmesinin öneminin altını çiziyoruz.

 

 

En son teknoloji ile donatılmış bir çiftlik

Kempenshof'taki buzağılar, her ikisi de bireysel sağlık ve performansı yakından izlemeyi ve gerekirse buna göre ayarlamayı mümkün kılan bireysel iglolarda ve bir grup barınma ünitesinde barındırılır. Ana ahırda, yem alımını ayrı ayrı ölçmek için yem ve karma yemlikler ile 135 süt ineği için yer vardır. Otomatik vücut kondisyon puanlaması ve bireysel tartım yapmamızı sağlayan 6x2 sağımhane bulunmaktadır. Çiftlikte ayrıca doğum sürecini yakından takip etmemizi sağlayan 7/24 video gözetimli büyük bir buzağılama ağıl bulunuyor. Metabolizma ünitesi, hayvan sağlığını ve performansını iyileştirmek amacıyla araştırma amaçları ve ineklerin metabolizmasının derinlemesine izlenmesi için gereklidir. Bireysel inekler daha uzun süre yoğun bir şekilde çalışılabilir, bu da süt inekleri üzerine araştırmalar için oldukça benzersiz ve değerlidir. Numune hazırlama ve saklama için küçük bir laboratuvar da bulunmaktadır.

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Evaluation of predicted ration nutritional values by NRC (2001) and INRA (2018) feed evaluation systems, and implications for the prediction of milk response

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Net energy and protein systems (hereafter called feed evaluation systems) offer the possibility to formulate rations by matching feed values (e.g., net energy and metabolizable protein) with animal requirements. The accuracy and precision of this approach relies heavily on the quantification of various animal digestive and metabolic responses to dietary changes. Therefore, the aims of the current study were, first, to evaluate the predicted responses to dietary changes of total-tract digestibility (including organic matter, crude protein, and neutral detergent fiber) and nitrogen (N) flows at the duodenum (including microbial N and undigested feed N together with endogenous N) against measurements from published studies by 2 different feed evaluation systems. These feed evaluation systems were the recently updated Institut National de la Recherche Agronomique (INRA, 2018) and the older, yet widely used, National Research Council (NRC, 2001) system. The second objective was to estimate the accuracy and precision of predicting milk yield responses based on values of net energy (NEL) and metabolizable protein (MP) supply predicted by the 2 feed evaluation systems. For this, published studies, with experimentally induced changes in either NEL or MP content, were used to calibrate the relationship of NEL and MP supply, with milk component yields. Based on the slope, root mean square prediction error, and concordance correlation coefficient (CCC), the results obtained show that total nonammonia nitrogen flow at the duodenum was predicted with similar accuracy and precision, but considerably better prediction was achieved when the INRA model was used to predict organic matter and neutral detergent fiber digestibility responses. The average NEL and MP content predicted by both models was similar, but NEL and MP content of individual diets differed substantially between both models as indicated by determination coefficients of 0.45 (NEL content) and 0.50 (MP content). Despite these differences, this work shows that when response equations are calibrated with NEL and MP values either from the INRA model or from the NRC model, the accuracy and precision (slope, root mean square prediction error, and CCC) of the predicted milk component yields responses is similar between the models. The lowest accuracy and precision were observed for milk fat yield response, with CCC values in the range of 0.37 to 0.40, compared with milk lactose and protein yields responses for which CCC values were in the range of 0.75 to 0.81.
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