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Inheritance and Heritability of Seed Weight and Its Components in Oats 1
Author(s) -
Murphy Charles F.,
Frey Kenneth J.
Publication year - 1962
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/cropsci1962.0011183x000200060021x
Subject(s) - agricultural experiment station , citation , library science , heritability , inheritance (genetic algorithm) , state (computer science) , biology , agriculture , computer science , genetics , ecology , algorithm , gene
A COMMON objective of small grain breeding programs is to improve grain yield. With oats, as with other crops, grain yield variation is due to an interaction of environmental and genetic effects. One method proposed to circumvent this problem is to select for characteristics associated with or composing yield, i.e., yield components. Primary components of grain yield are number of panicles per plant, number of seeds per panicle, and weight per seed. It is conceivable that if heritability percentages for and correlations among yield components were used to construct an optimum selection index, the efficiency of selection might be greater than when yield performance was used. Since seed weight can be subjected to component analysis and measured relatively precisely with small sample size, this character was selected to study the theory and application of character component analysis.