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SOME EMPIRICAL INVESTIGATIONS ON STATISTICAL PROPERTIES OF GROWTH CURVES

KrishiKosh

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Title SOME EMPIRICAL INVESTIGATIONS ON STATISTICAL PROPERTIES OF GROWTH CURVES
 
Creator NAOREM MOHONDAS SINGH
 
Contributor A. K. Paul
 
Subject ---
 
Description T-8102
Growth is an important phase in the life of animals which influences the different
forms of production such as milk, meat etc. in the later ages. The relationship between
body weight and age is important particularly in meat producing animals. Since a series
of weight-age data points are analytically difficult to interpret, it is, therefore, desirable to
study statistically the growth of animals. Under fitting of non linear growth model and
choosing best model to describe growth pattern, many works have already been done. In
our present study attention is given on the study of statistical properties of goodness of fit
criteria for selecting best model to describe the growth pattern by using bootstrap
technique. The distributions of the goodness of criteria R2 (Determination Coefficient),
RMSE (Root Mean Square Error) and ARR (Absolute Reduction Ratio) are found to be
non-normal. Based on these statistical measures the best model is selected to describe
growth pattern in given body weight data of Goat and Von bertalanffy model comes out
to be the best model
Inheritance of growth curves is critical for understanding evolutionary change and
formulating efficient breeding plans. The growth parameters are important in the sense
that they are good indicators of the growth pattern. The genetic parameters of growth
parameters are necessary to examine the potential usefulness of the growth parameters as
selection criteria. So it is important to have the complete information of genetic
parameters of the curve parameters. In this present study the statistical properties of the
genetic parameters of the growth curve parameters are discussed and the distributions of
these genetic parameters are found to be non normal. The genetic correlation between the
mature weight and maturity rate is found to be moderately negative correlated which
indicates the selection of animals having higher maturity rate could lead to lighter mature
weight. The heritability of mature weight is found to be highly heritable indicating the
mature weight can be used for selection purposes.
 
Date 2016-12-16T11:55:06Z
2016-12-16T11:55:06Z
2009
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/90542
 
Format application/pdf
 
Publisher IARI, Indian Agricultural Statistics Research Institute