Multivariate analysis for the detection of Passiflora species resistant to collar rot

Abstract

Collar rot is a disease difficult to control that has hindered passion fruit cultivation in many regions of Brazil. Therefore, this study aimed to find genetic resistance to the fungus Fusarium solani in Passiflora species using the multivariate analysis methodology to discriminate the most resistant species. The following fourteen Passiflora species were assessed: P. quadrangularis, P. nitida, P. foetida, P. tenuifila, P. alata, P. setacea, P. cincinnata, P. mucronata, P. micropetala, P. suberosa, P. morifolia, P. eichleriana, P. edulis and P. coccinea. These plants were arranged in a casualized block design with 14 treatments (species), three replications and three plants per plot. The reactions of the inoculated species of Passiflora were evaluated with the use of 12 resistance traits. The generalized Mahalanobis distance was used to form groupings by the UPGMA method. 3D projection with the canonical variables and quantification of the relative contribution of characters were also conducted. The UPGMA method revealed the formation of three distinct groups of species, which composed the susceptible, moderately resistant and resistant groups. The groups formed by threedimensional dispersion were similar to those formed by the dendrogram. The following traits contributed most to genetic diversity: inoculation time until the lesion reached more than 50% of the circumference of the injured stem and area under the curve of the expansion of the lesion width. The use of the set of traits and their joint assessment through multivariate analysis allowed greater accuracy in the inference of the most resistant species, mainly P. nitida and P. cincinnata.

HISTOLOGICAL ANALYSIS AND PERFORMANCE OF SOUR PASSION FRUIT POPULATIONS UNDER DIFFERENT ROOTSTOCKS RESISTANT TO Fusarium spp

“…Wild P. alata and P. nitida species resistant to F. oxysporum f. sp. passiflorae and F. solani (FISCHER et al, 2005;PREISIGKE et al, 2015) were used as rootstocks. 'FB 200 Yellow Master' and 'FB 300 Araguari' cultivars, UNEMAT S10 populations and ungrafted UNEMAT S30 were the four controls used in the experiment.…”

“…An alternative for mitigating losses caused by soil diseases is the use of genetic resistance observed in some wild species, including P. quadrangularis, P. nitida, P. alata and P. Foetida, resistant to fungus F. solani (FISCHER et al, 2005;PREISIGKE et al, 2015) and P. alata, P. laurifolia, P. suberosa, P. coccinea, P. gibertii and P. setace, resistant to F. oxysporum f. sp. Passiflorae (MENEZES et al, 1994;MELETTI and BRUCKNER, 2001;RONCATTO et al, 2004).…”

Self-organizing maps in the study of genetic diversity among irrigated rice genotypes

“…Multivariate techniques such as the Unweighted Pair Group Method with Arithmetic Mean (UPGMA), Tocher method, Principal Components Analysis (PCA) and Canonical Variables (CV) have been used as alternatives to simultaneous comparisons of qualitative and quantitative traits, resulting in more precise distance estimates and more accurate genetic diversity predictions among genotypes (Barbosa, Viana, Quintal, & Pereira, 2011;Preisigke et al, 2015). Another promising approach for genetic diversity studies is the self-organizing maps (SOM) method, which consists of a computational intelligence technique that allows for the visualization of similar patterns and data classification based on the distances between them (Kohonen, 2014).…”

Genetic resistance to fusariosis and base rot in interspecific F1 progenies of passion fruit (Passiflora spp.)

“…The wild genotypes selected for interspecific crosses were those described by Preisigke et al (2015Preisigke et al ( , 2017 as resistant to F. solani and F. oxysporum f. sp. passiflorae.…”