Analyze Diet

Topic:Principal Component Analysis

Principal Component Analysis (PCA) is a statistical technique used to simplify complex datasets by reducing their dimensionality while preserving as much variance as possible. In equine research, PCA can be applied to various types of data, including genetic, physiological, and performance metrics, to identify patterns and relationships that may not be immediately apparent. By transforming original variables into a new set of uncorrelated variables called principal components, researchers can effectively analyze and interpret large datasets. PCA facilitates the identification of key factors influencing traits or conditions in horses, aiding in areas such as genetic studies, disease susceptibility, and performance optimization. This page compiles peer-reviewed research studies and scholarly articles that explore the application, methodology, and findings of Principal Component Analysis in equine science.
Muscle biopsy as a tool for assessing muscular adaptation to training in horses.
American journal of veterinary research    October 1, 1996   Volume 57, Issue 10 1412-1416 
Rivero JL.To describe an applied method for quantitative estimation of training condition in horses. Methods: 17 sedentary adult (5 to 14 years old) stallions of several breeds endurance trained for 3 months. Methods: Muscle biopsy specimens from 2 depths (20 and 60 mm) of the gluteus medius muscle were obtained before and after training and were analyzed for fiber type distribution, mean cross-sectional area, relative fiber area, and mean number of capillaries in contact with each fiber type relative to their mean area. Fiber types were designated as types 1, 2A, and 2B (high, low, and moderate myosin ...
Muscle biopsy index for discriminating between endurance horses with different performance records.
Research in veterinary science    July 1, 1996   Volume 61, Issue 1 49-54 doi: 10.1016/s0034-5288(96)90110-1
Rivero JL, Henckel P.Biopsies were taken from three different depths of the gluteus medius muscle of 36 endurance horses aged between four and 17 years. Twenty of the horses were considered excellent performers according to their three fastest records in endurance events over the previous two or three years. The other 16 horses were moderate performers, with a mean racing speed < 3.5 ms-1 (in 120 to 180 km endurance rides), < 4.0 ms-1 (in 80 to 120 km endurance rides) or < 3.75 ms-1 (in 40 to 60 km endurance rides). The biopsy specimens were analysed for fibre type distribution (type I, IIA and IIB), fibr...
Principal component analysis, using the measurements during running and swimming test, in thoroughbred horses.
The Journal of veterinary medical science    December 1, 1994   Volume 56, Issue 6 1075-1080 doi: 10.1292/jvms.56.1075
Misumi K, Hirakawa A, Sakamoto H, Shimizu R.To investigate whether the running exercise fitness of individual horses could be assessed by a standardized swimming exercise test, the results of multivariate analysis of the exercise parameters measured during incremental running and swimming tests were compared. Ten thoroughbred horses were subjected to different types of exercise tests on a track or in a pool, and the maximum heart rate during and the blood lactate concentration immediately after the exercise were examined. Serial exercise parameters (VLA2, VLA4, LA0, V150, V200, HRS, HRLA2, HRLA4) referred to as the indices related to th...
‘By the seat of your pants’ or multivariable predictive modelling.
Equine veterinary journal    March 1, 1989   Volume 21, Issue 2 83-84 doi: 10.1111/j.2042-3306.1989.tb02099.x
Reeves MJ, Curtis CR.No abstract available
[Investigations on the individual-region distribution of adipocyte diameters by means of advanced statistical methods].
Bollettino della Societa italiana di biologia sperimentale    May 30, 1981   Volume 57, Issue 10 1047-1053 
Strigazzi A, Bianchi M.The dimensional distributions of the adipocytes in Equus caballus in many subjects and in many regions have been studied: such distributions turn out to be in good approximation galtonian ones. Furthermore, all the logarithm populations of the cell diameters have significantly the same variance. The used statistical methods (ANOVA two way with replications, and TUKEY -test) indicate an extremely significant different among the various regions (the smallest cells are in the supra-orbital fossa, the greatest ones are in the abdominal subserous floor).
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