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Phenotypic Correlation: Its Estimation and Testing Significance
Author(s) -
Sing Murari,
ElBizri Khaled S.
Publication year - 1992
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710340206
Subject(s) - statistics , correlation , selection (genetic algorithm) , mathematics , randomized block design , correlation coefficient , type i and type ii errors , standard error , statistical hypothesis testing , significance testing , biology , computer science , artificial intelligence , geometry
Plant scientists often assess correlation coefficients to develope a selection strategy for better plant type. They generate data on the desired traits on several genotypes grown in a randomized complete block design. Using the data from such experiments, this paper presents the asymptotic standard error of an estimate of phenotypic correlations coefficient and a test of significance. The method is illustrated using data on chickpea crop.