ABSTRACT
The objective of this study was to examine the effect of the chemical composition of a total mixed ration (TMR) tested quarterly from March 2006 through December 2008 for milk, fat, and protein yield curves for 27 herds in Ragusa, Sicily. Before this study, standard yield curves were generated on data from 241,153 test-day records of 9,809 animals from 42 herds in Ragusa province collected from 1995 to 2008. A random regression sire-maternal grandsire model was used to develop variance components for yields. The model included parity, age at calving, year at calving, and stage of pregnancy as fixed effects. Random effects were herd × test date, sire and maternal grandsire additive genetic effect, and permanent environmental effect modeled using third-order Legendre polynomials. Model fitting was carried out using ASReml. Subsequently, the model with estimated variance components was used to examine the influence of TMR crude protein, soluble N, acid detergent lignin, neutral detergent fiber, acid detergent fiber, starch, and ash on milk, fat, and protein yield curves. The data set contained 46,531 test-day milk yield records from 3,554 cows in the 27 herds recorded during the study period. Initially, an analysis was performed using one dietary component (one-component analysis) within each model as a fixed effect associated with the test-day record closest to the months the TMR was sampled within each herd. An interaction was included with the nutrient component and days in milk. The effect of the TMR chemical component(s) was modeled using a ninth-order Legendre polynomial. The conditional Wald F-statistic for the fixed effects revealed significant effects for acid detergent fiber, neutral detergent fiber, crude protein, starch, and their interactions with days in milk on milk, fat, and protein yield. On the basis of these results, a multicomponent analysis was performed in which crude protein, neutral detergent fiber, and starch were simultaneously included in the model with days in milk interactions. Although both analyses revealed that diet composition influenced production responses depending on lactation stage, the multiple-component analysis showed more pronounced effects of starch and neutral detergent fiber relative to crude protein for all traits throughout lactation.
Subject(s)
Animal Feed , Cattle/physiology , Lactation/physiology , Milk Proteins/analysis , Milk/chemistry , Animal Nutritional Physiological Phenomena/physiology , Animals , Cattle/metabolism , Dairying/methods , Dairying/statistics & numerical data , Diet/veterinary , Fats/analysis , Female , Food Analysis , Male , Milk/standards , Models, Statistical , PregnancyABSTRACT
Earlier studies identified large between-herd variation in estimated lactation curve parameters from test-day milk yield and milk composition records collected in Ragusa province, Italy. The objective of this study was to identify sources of variation able to explain these between-herd differences in milk production curves, by estimating associations of animal breed (Holstein Friesian vs. Brown Swiss), feeding system [separate feeding (SF) vs. total mixed ration (TMR)], and TMR chemical composition on milk and milk components herd curves. Data recorded from 1992 through 2007 for test-day (TD) milk, fat, and protein yields from 1,287,019 records of 148,951 lactations of 51,489 cows in 427 herds were processed using a random regression TD model. Random herd curves (HCUR) for milk, fat, and protein yields were estimated from the model per herd, year, and parity (1, 2, and 3+) using 4-order Legendre polynomials. From March 2006 through December 2007, samples of TMR were collected every 3 mo from 37 farms in Ragusa province. Samples were analyzed for dry matter, ash, crude protein, soluble nitrogen, acid detergent lignin, neutral detergent fiber, acid detergent fiber, and starch. Traits used to describe milk production curves were peak, days in milk at peak, persistency, and mean. Association of feeding system and animal breed with HCUR traits was investigated using a general mixed model procedure. Association of TMR chemical composition with HCUR traits was investigated using multivariate analysis with regression and stepwise model selection. Results were consistent for all traits and parities. Feeding system was significantly associated with HCUR peak and mean, with higher values for TMR. Animal breed was significantly associated with HCUR persistency, with higher values for Brown Swiss herds. Furthermore, animal breed influenced HCUR peak and mean, with higher values for Holstein Friesian herds. Crude protein had the largest effect on HCUR peak and mean, whereas the interaction between crude protein and dry matter mainly affected persistency. When provided by a national evaluation system, HCUR can be used as an indicator of herd feeding management.
Subject(s)
Cattle/classification , Cattle/physiology , Feeding Methods/veterinary , Lactation/physiology , Milk/chemistry , Animal Nutritional Physiological Phenomena , Animals , Fats/analysis , Female , Italy , Milk/metabolism , Milk Proteins/analysis , Pregnancy , Regression Analysis , Species SpecificitySubject(s)
Epiphyses, Slipped/surgery , Hip Dislocation/surgery , Adolescent , Child , Epiphyses/surgery , Female , Femur/surgery , Humans , Male , Osteotomy/methodsABSTRACT
The problem of the prophylaxis of post-operative phlebitis and pulmonary embolism, which may sometimes be fatal, has received considerable attention in recent medical literature. The combined experience of the Division of Orthopaedics and Traumatology and the Division of Vascular Surgery of the United Hospitals of Bergamo in the prevention of these complications in surgery of the hip are reported. The efficiency of drugs inhibiting platelet aggregation in patients suffering from vascular disease other than thrombophlebitis has already been reported in a previous study, and is now confirmed in its application to orthopaedic surgery (Losapio G. M., Setti M., et al.).