Premium
Selection to Maximize Gross Value per Hectare within Three Soybean Populations
Author(s) -
Orf J. H.,
Helms T. C.
Publication year - 1994
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/cropsci1994.0011183x003400050004x
Subject(s) - hectare , biology , yield (engineering) , selection (genetic algorithm) , edible oil , microbiology and biotechnology , agronomy , horticulture , food science , ecology , computer science , materials science , artificial intelligence , metallurgy , agriculture
The value of the soybean [ Glycine max (L.) Merr.] to processors is primarily determined by the protein and oil content of the seed, while the value to the producer is determined by the yield. Breeders need to consider how selection for yield can be combined with selection for protein and oil to maximize gross value per hectare (GVH). Previous research has not compared selection criteria within segregating populations to identify lines with the highest GVH. The objective of this study was to select lines from segregating populations for yield, protein, oil, the sum of protein and oil, total kg of protein and oil per hectare, and GVH to determine which criterion identified lines with the highest GVH. Experimental lines selected from three populations were evaluated for GVH, based on three protein to oil price ratios. GVH of lines selected for yield was equal to that of lines selected for a combination of yield, protein, and oil content. Based on this study it appears that soybean breeders who have a goal of maximizing GVH can select solely for yield and avoid expensive protein and oil testing. The lines that were high in protein, oil, or sum of protein and oil content, were low yielding and low in GVH at all three protein to oil price ratios. The higher value per kilogram seed of lines selected for protein, oil, or the sum of protein and oil content, did not compensate for the lower yield.