Thumbnail Image

Theses

Browse

20171
Reset filters
Subject: Agricultural Statistics × End date: 2017 × Start date: 2010 × Thesis Type: M.Sc ×
Reset filters

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    ThesisItemOpen Access
    A statistical study on performance traits of crossbred cattle
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2017-06) Yadav, Anita; Shukla, A.K.
    The present study is based on the statistical analysis of data related to performance traits of crossbred cattle. Data pertaining to 326 crossbred cattle for a period of 20 years (1994 to 2014) were used for the present study. The data for the Age at First Calving (AFC), First Service Period (FSP), First Gestation Period (FGP), First Lactation Period (FLP), First Milk Yield (FLMY), First Dry Period (FDP), First Calving Interval (FCI), Second Lactation Milk Yield (SLMY), Third Lactation Milk Yield (TLMY) and Lifetime Milk Yield (LMY) were obtained from history sheets of animals maintained at Instructional Dairy Farm (IDF), G.B. Pant University of Agriculture and Technology, Pantnagar. In this study, the data were analyzed with the help of various statistical and mathematical techniques using different software namely SPSS Version16, MATLAB and Easy Fit Software. Following major conclusions were drawn from the study: • The distribution pattern of the traits AFC, FSP, FLMY, FDP, FCI, SLMY and LMY were found to be positively skewed while the distribution patterns of the traits FGP, FLP and TLMY were found to be negatively skewed. • The distribution patterns of all the traits were found to be Lepto-Kurtic. • None of the production and reproduction traits under was found to be normally distributed which revealed that for statistical analysis of these traits non-parametric test procedure could preferably be used by the researchers and animal scientists for more reliable outcomes. • Best fitted distribution forAFC, FSP, FGP, FDP, FCI, FLP, FLMY, SLMY, TLMY and LMY were found to be Fatigue Life, Johnson SB, Cauchy, Gen. Extreme Value, Johnson SB, Laplace, Log-Logistic (3P), Error, Cauchy and Laplace respectively. • Positively significant correlation was found of the traits FLP, FSP, FCI, FLMY, SLMY and TLMY with Lifetime Milk Yield (LMY). However, a negatively significant correlation was observed between FDP and LMY. • Out of several Multiple Linear Regression models developed for the prediction of Lifetime Milk Yield the traits FSP, FGP, FDP, FCI, FLMY and SLMY were found to bebest predictors . • ANN model developed for the prediction of LMY was found to be the best model as compared to MLR model using best predictors. It is concluded that ANN technique is more suitable for prediction of milk yield in crossbred cattle. The findings of the present study are expected to provide a new direction to animal scientists for decision making in the prediction of milk yield using performance traits.