NDLI: The genetics of rust resistance in sugar cane seedling populations

Content Provider	Springer Nature Link
Author	Ramdoyal, K. Sullivan, S. Lim Shin Chong, L. C. Y. Badaloo, G. H. Saumtally, S. Domaingue, R.
Copyright Year	2000
Abstract	The inheritance of rust resistance was studied in sugar cane seedling populations using a factorial mating design over 1 summer and 2 winter seasons. Frequency distributions for rust infection pooled over 2 winter seasons for resistant x resistant parents were highly skewed with the majority of progenies grouped towards the resistant classes, whereas crosses between susceptible x highly susceptible parents tended to be skewed with the majority of progenies grouped towards the susceptible ones. Both categories of crosses produced transgressive segregants at either extremes. Distribution of infection within progeny of the selfed resistant parent ’R 570’ and distribution in the majority of crosses tended to support the hypothesis of a major gene with a dominant effect for resistance. However, the action of other minor genes acting in a quantitative way is also suggested. The female (F) and male (M) variance components were very important, and F×M interaction indicated the existence of non-additive genetic effects. F×S, M×S and F×M×S interaction mean squares were generally low or insignificant. Broad-sense heritability for the individual season ratings and for the combined ratings was high (0.75–0.90), whereas narrow-sense heritability was generally moderate (0.40–0.52) with the additive genetic effects accounting for 44–68% of the total genetic variation. The implications of these findings in the breeding for rust resistance in the local programme are discussed.
Starting Page	557
Ending Page	563
Page Count	7
File Format	PDF
ISSN	00405752
Journal	Theoretical and Applied Genetics
Volume Number	100
Issue Number	3
e-ISSN	14322242
Language	English
Publisher	Springer-Verlag
Publisher Date	2000-02-16
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article
Subject	Genetics Medicine Biotechnology Agronomy and Crop Science

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