Strategies to increase yield of late-planted soybean [Glycine max (L.) Merr
.] in the southeastern USA would be improved by an understanding of how yie
ld components interact with one another in affecting yield at both the phen
otypic and genotypic levels. Our objective was to apply path analyses to da
ta collected from previous studies to determine the relative importance of
yield components in the overall yield formation process when environmental
and genotypic factors were varied. Path analyses were applied within primar
y yield components (the predictor variables seed number and seed size, affe
cting the response variable yield), secondary yield components (the predict
or variables pod number and seed per pod, affecting the response variable s
eed number), and tertiary yield components (the predictor variables pods pe
r reproductive node, reproductive node number, percent nodes becoming repro
ductive, and node number, affecting the response variable pad number), Path
analyses were applied to three data sets constructed from field studies co
nducted from 1987 to 1993 near Baton Rouge, LA (30 degrees N lat). Phenotyp
ic analyses, which involved altered source strength (canopy assimilatory ca
pacity as indicated by crop growth rate or light interception) during the r
eproductive period (R1 to R7), affected yield through adjustments in pods p
er reproductive node and reproductive node number. Pods per reproductive no
de was also the most important yield component influencing pod and seed num
ber on the genotypic level, although negative compensation between seed num
ber and seed size (at the genotypic level only) precluded a positive effect
on yield.