Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 1 of 1
Full-Text Articles in Life Sciences
Performance Of Intercom For Predicting Corn– Velvetleaf Interference Across North-Central United States, John L. Lindquist
Performance Of Intercom For Predicting Corn– Velvetleaf Interference Across North-Central United States, John L. Lindquist
Department of Agronomy and Horticulture: Faculty Publications
Cost-effective weed management requires accurate estimates of yield and the potential yield loss resulting from weed infestations. However, crop yield and the effects of weeds are highly variable across years and locations. Ecophysiological models may be useful for predicting the effects of environment and management on crop and weed growth and competitive ability. Ability of the model INTERCOM to predict corn (Zea mays) growth and yield, velvetleaf (Abutilon theophrasti) interference on corn yield loss, and single-year economic threshold velvetleaf density (Te) was evaluated using 13 data sets collected in four states. Predicted and observed …