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Phenotypic Stability in Soybean Populations 1
Author(s) -
Smith R. R.,
Byth D. E.,
Caldwell B. E.,
Weber C. R.
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/cropsci1967.0011183x000700060011x
Subject(s) - biology , genotype , homogeneous , linear regression , glycine , stability (learning theory) , phenotype , regression , gene–environment interaction , genetics , yield (engineering) , regression analysis , statistics , gene , mathematics , amino acid , combinatorics , machine learning , computer science , materials science , metallurgy
Phenotypic stability of various soybean ( Glycine max (L.) Merrill) genotypes to a series of environments investigated by computing, for each genotype, a linear regression of yield onto the mean of all genotypes for each environment. Genotypes expressing above average stability were influenced less by changing environmental conditions. Low deviations from regression tended to be associated with regression coefficients below 1.0. A positive association was observed between mean homogeneous daughter line and heterogeneous maternal line performance. However, heterogeneous, homozygous lines responded less radically to environmental changes than corresponding homogeneous, homozygous lines.