Multivariate analysis reveals key traits of fall armyworm resistance in tropical popcorn genotypes
Abstract
In the present study it is hypothesized that the germplasm of popcorn of tropical regions shows resistance to FAW, and the multivariate analysis can characterize the main traits of this resistance. Thus, the aim of this study was to identify key traits used to select fall armyworm resistance in popcorn by using factor and cluster analyses. Sixteen biological traits were evaluated at larval and pupae stages: total number of armyworm, time larval period, final mass of caterpillars, total mass of caterpillars, mean mass of caterpillars, pupae period, mass of pupae and some indices used to evaluate the food consumed by the caterpillars. Multicollinearity diagnosis, factor and canonical analysis, and the genetic divergence among the genotypes were performed to implement multivariate analysis. The groups were established according to Mojena (1977). After multicollinearity test, only five traits were retained for further analysis. The factor analysis divided the five traits into two factors: the first factor included time larval period, metabolized food and mass of pupae; the second was composed of total number of armyworm and stool mass. Unweighted Pair Group Method with Arithmetic Mean (UPGMA) grouped the eighteen genotypes in three clusters. The present study provides insights of popcorn resistance to fall armyworm, and the multivariate analytical approach used here is directly applicable to any species and set of traits exhibiting correlation.
Más información
Título según WOS: | Multivariate analysis reveals key traits of fall armyworm resistance in tropical popcorn genotypes |
Título según SCOPUS: | Multivariate analysis reveals key traits of fall armyworm resistance in tropical popcorn genotypes |
Título de la Revista: | BRAGANTIA |
Volumen: | 78 |
Número: | 2 |
Editorial: | INST AGRONOMICO |
Fecha de publicación: | 2019 |
Página de inicio: | 175 |
Página final: | 182 |
Idioma: | English |
DOI: |
10.1590/1678-4499.20180230 |
Notas: | ISI, SCOPUS |