Selection for improved feed utilization is of high interest globally but is limited by the high cost of obtaining feed intake for individual cows and relies on indirect measures of feed efficiency. Supplementing selection with mechanistic measures of feed use could make selection for feed utilization more direct and effective. The objectives of this study were to evaluate fecal sampling as a method of determining digestive efficiency of individual cows and to evaluate associations of digestive efficiency with genetic and phenotypic merit for milk yield and composition. Fecal samples were obtained manually from the rectum of 90 Holstein cows in the morning, afternoon, and evening on a single date and composited across the day. The fecal samples were dried, ground, and stored. Diet and fecal neutral detergent fiber (NDF) were determined using the filter bag method, and indigestible NDF was determined in situ with a 12-d rumen incubation. Fecal NDF (60.1%) and indigestible NDF (41.9%) were higher than that from feed samples (14.2 and 35.9%, respectively). Total-tract digestibility was calculated using the marker ratio method. Total-tract dry matter (DM) digestibility averaged 66.0 ± 2.4% and total-tract NDF digestibility averaged 42.8 ± 3.0%. Higher milk fat percent and genetic merit for milk fat percent were associated with greater NDF and DM digestibility. Milk yield was negatively associated with NDF and DM digestibility. Fecal sampling is a feasible method to directly measure digestive efficiency, and substantial variation was observed among cows. Given significant between-cow variation and associations with milk fat percent and genetic merit for milk fat percent, potential selection for total-tract NDF digestibility estimated via fecal sampling warrants further exploration.
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http://dx.doi.org/10.3168/jds.2019-17450 | DOI Listing |
Sci Rep
December 2024
School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India.
Dairy product requirement and the demand-supply gap of milk in Ethiopia have been increasing at an alarming rate due to various factors such as shortage of animal's feeds, feed staffs, feed costs, and poor genetic merits of the local breeds of the country. This problem can be lessened by selecting best breed and modern animal breeding facilities, which require technologies like big data analysis and machine learning. In this study, a prediction model that can predict age at first calving of weaned calves based on their pre-weaning and weaning parameters, including dam's parity number, season of calving, birth weight, pre-weaning health status, pre-weaning average daily weight gain (ADG), weaning age and weaning weight is developed.
View Article and Find Full Text PDFJ Food Sci
December 2024
Department of Food Science and Technology, National University of Singapore, Singapore, Singapore.
Given the growing interest in dairy-free milk analog products, new and diversified alternatives are pivotal to push the market forward. Germination and fermentation are traditional processing technologies used in plant-based milk production. However, the combination of both has not been extensively investigated.
View Article and Find Full Text PDFInt J Food Microbiol
December 2024
Department of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, Grugliasco, TO, Italy.
Roccaverano Protected Designation of Origin (PDO) is a fresh soft cheese produced in Roccaverano area (Italy). This study aimed to evaluate Roccaverano PDO microbiota, together with aromatic profile and sensory analysis to be compared with 15 non-PDO cheeses of the same type. Microbiota was evaluated through shotgun metagenomics sequencing, while GC-MS analysis was conducted to study volatile organic compounds (VOCs) presence and concentration.
View Article and Find Full Text PDFJ Dairy Sci
December 2024
Department of Dairy and Food Sciences, South Dakota State University, Brookings, South Dakota 57007; School of Animal Sciences, Virginia Tech, Blacksburg, VA. Electronic address:
The objective of this study was to evaluate the effects of a rumen-derived direct-fed microbial (DFM) product on performance, blood biomarkers, ruminal fermentation, and bacterial abundance in dairy cows during the transition period until 100 DIM. Fifty-six Holstein cows were enrolled in a randomized complete block design from -21 to 100 DIM. Cows were blocked based on expected calving date, parity, and previous lactation milk yield for multiparous or genetic merit for primiparous cows.
View Article and Find Full Text PDFJ Dairy Sci
December 2024
Department of Veterinary Medical Sciences, Alma Mater Studiorum University of Bologna, 40064 Ozzano dell'Emilia, Italy.
At the onset of lactation, high-producing dairy cows commonly face a negative energy balance and consequent metabolic disorders, such as hyperketonemia. Blood concentrations of nonesterified fatty acids (NEFA), BHB, cholesterol, glucose and urea provide valuable information about the metabolic, health, and nutritional status of lactating animals. Milk mid-infrared (MIR) spectroscopy has been successfully used for the prediction of several health traits, including concentration of blood metabolites even though the models' accuracy is moderate.
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