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Title: USING QTL ANALYSIS TO STUDY THE EFFECT OF GENETIC BACKGROUND ON A DISEASE LESION MIMIC IN MAIZE

Author
item PENNING, B - UNIV OF MISSOURI
item McMullen, Michael
item JOHAL, G - UNIV OF ILLINOIS

Submitted to: Maize Genetics Conference Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 3/14/2002
Publication Date: 3/14/2002
Citation: PENNING, B., MCMULLEN, M.D., JOHAL, G. USING QTL ANALYSIS TO STUDY THE EFFECT OF GENETIC BACKGROUND ON A DISEASE LESION MIMIC IN MAIZE. MAIZE GENETICS CONFERENCE. 2002. ABSTRACT. P. 120.

Interpretive Summary:

Technical Abstract: Maize plants are subjected to many stresses in the field during growth. How they respond to such stresses can affect yield. If plants can be altered to have greater tolerance to stresses, such as common field diseases, yields would be improved. The goal of this research is to identify quantitative trait loci (QTL) controlling the differential expression of disease lesion mimics seen in specific genetic backgrounds. Many disease lesion mimics show variation in severity in different backgrounds. Disease lesion mimics tend to be more severely expressed in early-senescence backgrounds and less severely expressed in stay-green backgrounds. An hsl*-1 lesion mimic in a severe expressing line was crossed to Mo20W, a lesion suppressing, stay-green line. Genotypes of 400 F2 individuals were obtained with 102 simple sequence repeat markers. A QTL analysis was performed to detect significant loci in the population for modification of lesion expression. The discovery of significant loci in our genetic model for plant disease should aid in improving plant response to lesion stress.