In 1994, herbicide efficacy and competitive index databases were adjus
ted in the soybean herbicide recommendation program HERB to best refle
ct data for Mississippi. Field experiments were conducted to compare e
fficacy and economics of postemergence herbicides recommended by HERB
and MSU-HERB. The study was conducted utilizing four locations over 2
yr, which provided different soil types, weed spectra, and environment
al conditions with which to evaluate weed control from herbicides reco
mmended by these programs. HERB and MSU-HERB agreed on an herbicide re
commendation in 62% of the modeling runs. Herbicides recommended by bo
th software versions were generally effective for controlling the pred
ominant weed species at each location. In instances where there was a
significant difference in herbicide efficacy between herbicides recomm
ended by HERB and MSU-HERB, improved weed control resulted from herbic
ides recommended by MSU-HERB. In 1994, excellent moisture conditions e
nabled soybean to gain a significant competitive advantage over weeds
and, as a result, yield loss predictions after treatment were overesti
mated in most instances. Conversely, 1995 environmental conditions bet
ter represented average Mississippi growing conditions, and yield loss
predictions after treatment were more accurate. Yield loss prediction
accuracy of KERB versions was related to the length of interference b
etween soybean and weeds. Thus, prediction accuracy of HERB and MSU-HE
RB was similar. Soybean yield increase and net economic gain following
MSU-HERB recommendations was as high or higher than following HERB re
commendations.