The interpretation of quantitative trait locus (QTL) studies is limited by the lack of information on metabolic pathways leading to most economic traits. Inferences about the roles of the underlying genes with a pathway or the nature of their interaction with other loci are generally not possible. An exception is resistance to the corn earworm Helicoverpa zea (Boddie) in maize (Zea mays L.) because of maysin, a C-glycosyl f lavone synthesized in silks via a branch of the well characterized f lavonoid pathway. Our results using f lavone synthesis as a model QTL system indicate: (i) the importance of regulatory loci as QTLs, (ii) the importance of interconnecting biochemical pathways on product levels, (iii) evidence for ''channeling'' of intermediates, allowing independent synthesis of related compounds, (iv) the utility of QTL analysis in clarifying the role of specific genes in a biochemical pathway, and (v) identification of a previously unknown locus on chromosome 9S affecting f lavone level. A greater understanding of the genetic basis of maysin synthesis and associated corn earworm resistance should lead to improved breeding strategies. More broadly, the insights gained in relating a defined genetic and biochemical pathway affecting a quantitative trait should enhance interpretation of the biological basis of variation for other quantitative traits.The past decade has seen an explosion of information on the structure, organization, and functions of the maize (Zea mays L.) genome, including the development of high density molecular marker maps. One application of new mapping technologies has been the genetic dissection of quantitative traits with much greater precision than was previously possible (1, 2). Still, the quantitative trait loci (QTLs) detected are generally rather poorly defined regions, and the size of a QTL's phenotypic effect is sometimes confounded with its location relative to the nearest marker or to a nearby QTL. For most traits, genetic and biochemical information on metabolic pathways is extremely limited, and, therefore, it is difficult to interpret QTL results in terms of regulatory and structural genes, duplicate function loci, feedback inhibition, branched pathways, or other phenomena affecting trait expression. Our goal in this research project is to analyze the genetic control of a quantitative trait of economic importance [antibiosis to the corn earworm (CEW)] and to interpret the results in terms of the well characterized flavonoid pathway.The CEW Helicoverpa zea (Boddie) is a major insect pest of maize and other crops (cotton, soybeans, peanuts) in the United States and elsewhere in the Western Hemisphere (3, 4). Corn earworm eggs are laid on the silks, and the larvae access the ear by feeding through the silk channel. Host-plant resistance to CEW by antibiosis is caused by the presence of the C-glycosyl flavones maysin, apimaysin, and methoxymaysin and related compounds (Fig.