HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

Cover: Genomics is beginning to impact crop simulation modeling. One approach views genes as organized into pathways of interconnected, graded-behavior switches, similar to neural networks. Because genetic mechanisms are conserved, studies with model plants like Arabidopsis thaliana (center) have relevance to traditional crop species with larger genomes. Quantitative gene modeling will improve understanding of how genotype and environmental inputs combine to produce phenotype. See "A Genetic Neural Network Model of Flowering Time Control in Arabidopsis thaliana," by Welch et al., p. 71-81. This paper is part of the symposium papers in this issue that start on page 1. Graphic design by Jennifer Foltz, Departments of Agronomy and Plant Pathology, Kansas State University.