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Computations for Estimating the Genetic Parameters in Joint‐Scaling Tests 1
Author(s) -
Rowe K. E.,
Alexander W. L.
Publication year - 1980
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci1980.0011183x002000010027x
Subject(s) - epistasis , scaling , computation , biology , genetic programming , joint (building) , genetic algorithm , least squares function approximation , matrix (chemical analysis) , algorithm , computer science , mathematics , mathematical optimization , statistics , artificial intelligence , genetics , engineering , architectural engineering , geometry , materials science , estimator , gene , composite material
Weighted least squares has been used to estimate the genetic parameters in Three Parameter Joint Scaling Tests. The principles are presented to generalize the method to any combination of generation means and genetic models including epistasis. The method is adaptable to computers with matrix algebra programming and certain programmable calculators.