Analysis of blast resistance in rice, comparing biotechnology methods with traditional breeding
The relatively recent developments on statistical methods for the analysis of categorical variables allows parameter estimation and hypothesis testing using linear models on functions of response frequencies. A particular case is the Logit Model, which uses as dependent variable the logit function, and external factors as independent variables. The purpose of this paper is to illustrate an application of the logit model to compare biotechnology methods (Anther Culture) with the traditional breeding method (the Pedigree Method) in their efficiency to generate rice lines with stable resistance to blast, the most important disease of rice world-wide. An initial number of 17917 F2 plants submitted to selection for blast resistance through the Pedigree Method (PM), together with 441 and 740 lines obtained by anther culture methods (AC-F2 and AC-R2) respectively, were evaluated for blast resistance and resistance stability. The analysis confirms that AC was more efficient than PM across crosstypes in generating blast resistant lines; however, in terms of resistant stability, AC was superior to PM only on a given cross-type. Model assumption are discussed in the light of this particular study. General recommendations of methodological nature are made tending to guarantee valid statistical inferences.
| Main Authors: | , , , |
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| Format: | Conference Paper biblioteca |
| Language: | English |
| Published: |
International Center for Tropical Agriculture
1995
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| Subjects: | oryza sativa, statistical analysis, disease resistance, pyricularia, genetic stability, breeding methods, linear models, análisis estadístico, resistencia a la enfermedad, estabilidad genética, métodos de mejoramiento, modelos lineales, |
| Online Access: | https://hdl.handle.net/10568/80249 http://ciat-library.ciat.cgiar.org/Articulos_Ciat/Digital/HD1425.S50.2_Simposio_Internacional_de_Estad%C3%ADstica_en_Agricultura_y_Medio_Ambiente.pdf#page=197 |
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