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Reading: Improvement by Multi-Stage Selection in Non-Normal Large Populations

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Improvement by Multi-Stage Selection in Non-Normal Large Populations

Authors:

M. Gopinath Rao ,

University of Agricultural Sciences, Bangalore, IN
About M. Gopinath
Department of Agricultural Statistics
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L. S. Singh

Ram Manohar Lohia Avadh University, Faizalabad, U.P., IN
About L. S.
Department of Mathematics and Statistics
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Abstract

Multistage selection based on the covariates of the breeding value is studied in non-normal large populations. Expressions for expectation and variance of the target variable are given for retained sub population in the case of lognormal, skew normal and pareto distributions. Numerical illustration for optimum level of cullings for fixed overall intensity of selection is discussed.


Sri Lankan Journal of Applied Statistics 2015;16(3): 149-159
How to Cite: Rao, M.G. & Singh, L.S., (2016). Improvement by Multi-Stage Selection in Non-Normal Large Populations. Sri Lankan Journal of Applied Statistics. 16(3), pp.149–159. DOI: http://doi.org/10.4038/sljastats.v16i3.7829
Published on 29 Jan 2016.
Peer Reviewed

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