Genetic Variation and Heritability of Melampsora Leaf Rust Resistance in Eastern Cottonwood
Abstract:Much variation in resistance to a Melampsora leaf rust was encountered in an eastern cottonwood provenance and progeny test at Wooster, Ohio. This test, one planting of the NC-99 Regional Cooperative Study, consists of 228 clones originating from 76 parent trees. Disease resistance was rated on a visual scale from 1 to 7. Differences in resistance among and within open-pollinated families were significant. There were no differences between ramets of the same clone. Pronounced differences in rust damage and its rate of progression were related to geographic location of the seed parent. Families derived from parent trees in Missouri and Illinois were more resistant than those from Ohio, Pennsylvania, and Indiana. Broad-sense heritability estimates for disease resistance were high (0.88-0.95). Ease of recognizing Melampsora-resistant phenotypes, strong genetic control of the trait, and advantages of vegetative propagation should contribute toward rapid, substantial improvement in rust resistance. Selection for resistance is compatible with selection for growth rate and form. Relative resistance may be a direct determinant of annual diameter growth. Forest Sci. 21:278-282.
Document Type: Journal Article
Affiliations: Graduate Research Assistant, School of Forestry and Wildlife Management, Louisiana State University, Baton Rouge, La. 70803
Publication date: 1975-09-01
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- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
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