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Effect of Genotype ✕ Environment Interactions on Selection for Low Linolenic Acid Soybeans 1
Author(s) -
Cramer M. M.,
Beversdorf W. D.
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/cropsci1984.0011183x002400020028x
Subject(s) - genotype , biology , gene–environment interaction , linolenic acid , alpha linolenic acid , selection (genetic algorithm) , ranking (information retrieval) , interaction , glycine , horticulture , zoology , agronomy , genetics , linoleic acid , fatty acid , biochemistry , gene , amino acid , polyunsaturated fatty acid , docosahexaenoic acid , artificial intelligence , machine learning , computer science
Five soybean [ Glycine max (L.) Merr.] lines of Maturity Groups 00‐0 were grown at two locations over 2 years in the 2600 (earliest) Ontario Soybean Variety Trials (OSVT) and 10 lines of Maturity Groups O‐I were grown at three locations over 2 years in the 2800 (next to earliest) OSVT. The effect of genotype ✕ environment (G ✕ E) interactions on selection for low linolenic acid was evaluated. In both trials G ✕ E interactions were significant. In the 2600 OSVT the genotype ✕ location ✕ year interaction was most important whereas two‐way interactions predominated in the 2800 OSVT. Genotype ✕ location interactions were minimized, however, by selecting a subset of genotypes in the 2800 OSVT with a narrow range of maturities. In both trials, few changes in ranking of genotypes with wide differences in linolenic acid percentage were observed across environments. The ranking of lines, however, varied for genotypes with a narrow range of linolenic acid content. In the latter case testing in more than one environment should be considered. The precision with which differences among genotypes could be detected was estimated by calculating the LSD of genotype means for various year‐location combinations. In both experiments an increase in testing from 1 to 2 years increased precision by about 25%. Increasing the number of locations was also effective but was less important. Increasing the number of replications had the smallest response. This research showed that G ✕ E interactions should be considered when breeding for low linolenic acid soybeans. Such interactions affected both the ranking of genotypes and the precision of detecting differences among genotypes.