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,...
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| Format: | Conference Paper |
| Language: | Inglés |
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International Center for Tropical Agriculture
1995
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| Online Access: | https://hdl.handle.net/10568/80249 |
| _version_ | 1855533010827345920 |
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| author | Amézquita, María Cristina Martínez Racines, César Pompilio Correa Victoria, Fernando J. Lema, Germán |
| author_browse | Amézquita, María Cristina Correa Victoria, Fernando J. Lema, Germán Martínez Racines, César Pompilio |
| author_facet | Amézquita, María Cristina Martínez Racines, César Pompilio Correa Victoria, Fernando J. Lema, Germán |
| author_sort | Amézquita, María Cristina |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Conference Paper |
| id | CGSpace80249 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 1995 |
| publishDateRange | 1995 |
| publishDateSort | 1995 |
| publisher | International Center for Tropical Agriculture |
| publisherStr | International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace802492025-11-05T17:46:54Z Analysis of blast resistance in rice, comparing biotechnology methods with traditional breeding Amézquita, María Cristina Martínez Racines, César Pompilio Correa Victoria, Fernando J. Lema, Germán 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 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. Gracias a desarrollos relativamente recientes en métodos estadísticos para el análisis de datos categóricos, es posible realizar estimación de parámetros y prueba de hipótesis sobre variables de respuesta categóricas ajustando modelos lineales a funciones de las frecuencias de respuesta. El modelo Logit aplicado a una variable binaria, es un modelo lineal que usa como variable dependiente la función logit y como variables independientes uno o más factores cuyo efecto se desea probar. El objetivo de este trabajo es ilustrar el uso de este método estadístico para comparar el mejoramiento de arroz por el Método de Pedigree (MP) con el de Cultivo de Anteras realizado sobre plantas F2 (CA-F2) y sobre plantas F1 (CA-R2), en términos de su capacidad para generar líneas con resistencia estable a Piricularia. Una línea se consideró resistente si tenía calificación de reacción a Piricularia menor o igual a 4 en la escala 0-9. Una línea se consideró poseer 'resistencia estable' cuando mantuvo su resistencia a través de un ciclo de evaluación de 3 semestres. El análisis se realizó con 17917 plantas F2 provenientes de 3 tipos de cruza que se sometieron a selección por el MP hasta obtener 681 líneas F4 resistentes; y con 441 y 740 líneas de las mismas cruzas obtenidas por CA-F2 y CA-R2 respectivamente, de las cuales se lograron 64 y 67 líneas resistentes. Los tres conjuntos de líneas (F4, CA-F2 y CA-R2) se evaluaron por 3 semestres consecutivos para determinar la estabilidad de su resistencia. El Modelo Logit detectó diferencias significativas a favor del método de Cultivo de Anteras en términos de resistencia a piricularia, a través de los 3 tipos de cruza. En cuanto a resistencia estable, CA fue superior en un tipo de cruza unicamente. Los supuestos del método y su aplicación específica a este caso, permitió hacer recomendaciones metodológicas tendientes a garantizar validez en la inferencia 1995 2017-03-14T08:36:13Z 2017-03-14T08:36:13Z Conference Paper https://hdl.handle.net/10568/80249 en Open Access application/pdf International Center for Tropical Agriculture Amézquita, María Cristina; Martínez Racines, César Pompilio; Correa Victoria, Fernando José; Lema, Germán. 1995. Analysis of blast resistance in rice, comparing biotechnology methods with traditional breeding . In: Simposio Internacional de Estadística en Agricultura y Medio Ambiente (1995, Palmira, Valle del Cauca, Colombia). Memorias. Conferencia satélite . Centro Internacional de Agricultura Tropical (CIAT), Cali, CO. p. 173-192. |
| spellingShingle | 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 Amézquita, María Cristina Martínez Racines, César Pompilio Correa Victoria, Fernando J. Lema, Germán Analysis of blast resistance in rice, comparing biotechnology methods with traditional breeding |
| title | Analysis of blast resistance in rice, comparing biotechnology methods with traditional breeding |
| title_full | Analysis of blast resistance in rice, comparing biotechnology methods with traditional breeding |
| title_fullStr | Analysis of blast resistance in rice, comparing biotechnology methods with traditional breeding |
| title_full_unstemmed | Analysis of blast resistance in rice, comparing biotechnology methods with traditional breeding |
| title_short | Analysis of blast resistance in rice, comparing biotechnology methods with traditional breeding |
| title_sort | analysis of blast resistance in rice comparing biotechnology methods with traditional breeding |
| topic | 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 |
| url | https://hdl.handle.net/10568/80249 |
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