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Effectiveness of Visual Selection Upon Yield in Oat Crosses 1
Author(s) -
Frey K. 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/cropsci1962.0011183x000200020005x
Subject(s) - citation , selection (genetic algorithm) , yield (engineering) , crop , library science , agricultural experiment station , agricultural science , biology , agriculture , computer science , agronomy , artificial intelligence , ecology , physics , thermodynamics
EVERY plant breeder uses selection indices in one form or another. Statistical selection indices show the relative weight that should be assigned in a selection program to each character according to its economic value and heritability (2, 6, 9). Another type of selection index universally used by plant breeders is subjective and consists of a "mental picture" of the desirable attributes that a variety should possess. The statistical selection index is advantageous because it is somewhat mechanical, whereas visual selection is best limited to use by experienced plant breeders who have formulated specific ideal types. In practice plant breeders follow either a combination of the two procedures or only the visual method in variety selection work. This paper compares the yields of lines from visual selection in hybrid oat populations with the grain production of random selections when selection is practiced in different generations and based upon varying sample sizes.