Methodology to estimate the soil heterogeneity coefficient, the number of repetitions and the optimum plot size for common bean (phaseolus vulgaris l.) research

With the aim to estimate the coefficient of soil heterogeneity (b) =ithout performing tests of uniformity, we proposed a methodology to use data from yield experiments insolating the treatment effect of the response variable. To identify methodological issues and illustrate the statistical proceedin...

Full description

Autores:
Mayor Durán, Víctor Manuel
Blair, Matthew
Muñoz, Jaime Eduardo
Tipo de recurso:
Article of journal
Fecha de publicación:
2012
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/42770
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/42770
http://bdigital.unal.edu.co/32867/
Palabra clave:
6 Tecnología (ciencias aplicadas) / Technology
63 Agricultura y tecnologías relacionadas / Agriculture
Análisis estadísticos
experimentación
heterogeneidad del suelo
investigación de campo
ley de varianza
Phaseolus vulgaris
rendimiento
Experimentation
field research
law of variance
Phaseolus vulgaris
soil heterogeneity
statistical analysis
yield.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:With the aim to estimate the coefficient of soil heterogeneity (b) =ithout performing tests of uniformity, we proposed a methodology to use data from yield experiments insolating the treatment effect of the response variable. To identify methodological issues and illustrate the statistical proceeding manage- ment, data from one of the yield trials conducted in common bean by the Andean Breeding Program of CIAT =ere used. The coefficient of soil heterogeneity =as estimated using the la= of variance of Smith (+958) and the equation proposed by Federer (+9D5). Ealues of G.59 and G.DD respectively =ere obtained. Finally, =e used the methodology of Hathe=ay (+9D+) and the LbM value estimated based on Federer (+9D5) to find the best combination of plot size, number of repetitions and difference to be detected as a mean percentage.