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Selection Indexes to Modify Protein Concentration of Soybean Seeds 1
Author(s) -
Openshaw S. J.,
Hadley H. H.
Publication year - 1984
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/cropsci1984.0011183x002400010001x
Subject(s) - biology , selection (genetic algorithm) , index selection , trait , sugar , population , index (typography) , microbiology and biotechnology , zoology , food science , botany , demography , computer science , artificial intelligence , sociology , world wide web , programming language
The purpose of this study was t~a investigate the effectiveness of selection based upon selection indexes to modify protein concentration of soybean [ Glycine max (L.) Merr.] seeds. Selection criteria were compared by evaluating F 4 performance of F 2‐ derived lines identified in the F 3 as being in the upper 10% of the population. Smith‐Hazel indexes designed to maximize the gain in protein by including oil or oil and sugar as secondary traits were not more effective than direct selection, which resuited in changes of 1.42% protein and −1.14% oil. Smith‐Hazel indexes which gave protein and oil equal economic weights, either including or not including sugar as a secondary trait, and a desired gains index with desired gains set at 1.0% protein and 0.25% oil were all similar in results to selection based on the sum of protein + oil. Among these methods, changes ranged from 0.15 to 0.31% for protein anti from −0.01 to 0.19% for oil. An index designed to change protein by 1.25% and oil by −0.75% produced observed changes of 1.31 and −0.81%. An index designed to increase protein as much as possible while holding oil constant resulted in changes of 0.45% protein and −0.13% oil. This index was more effective than selection for protein following culling oil at the mean, which resulted in little change for either trait.