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Selection Value of Phenotypic Attributes in Soybeans 1
Author(s) -
Caldwell B. E.,
Weber C. R.,
Byth D. E.
Publication year - 1966
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/cropsci1966.0011183x000600030009x
Subject(s) - selection (genetic algorithm) , yield (engineering) , acre , biology , genetic gain , microbiology and biotechnology , statistics , agronomy , mathematics , biochemistry , genetic variation , computer science , gene , machine learning , materials science , metallurgy
The average selection index was used to evaluate the contribution of various phenotypic attributes in selection gain for yield, protein, and oil — individually, and in various combinations. Selection gain for yield was maximum hen all attributes were used and selection was for yield alone. Deleting any attribute other than yield did not affect selection gain. Maximum gain for protein and oil (pounds per acre) was obtained from the indices constructed to advance yield; yield and protein; yield and oil; and yield, protein, and oil. Maximum change in percent protein and percent oil was obtained by selecting for these attributes individually, but the total production of oil and protein expressed as pounds per acre was decreased.