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Selecting for Stability of Yield in Maize 1
Author(s) -
Scott Gene E.
Publication year - 1967
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/cropsci1967.0011183x000700060001x
Subject(s) - biology , yield (engineering) , selection (genetic algorithm) , stability (learning theory) , zea mays , agronomy , microbiology and biotechnology , horticulture , computer science , machine learning , materials science , metallurgy
This study was conducted to determine if selected strains of maize differed for yield stability when grown in a number of environments. Selections were based on F 2 topcross results and F 1 crosses were grown to check selection effectiveness. Results indicated that selecting for yield stability, as defined, was effective.