Genetic divergence of Heliconiaceae species in the Central West Brazil region

The purpose of this study was to describe morphological traits and estimate genetic divergence and parameters between accessions of the genus Heliconia sp. from different municipalities in the state of Mato Grosso, Brazil. A set of 25 traits, 15 quantitative and 10 qualitative, were evaluated. The genetic divergence was estimated based on Mahalanobis’ distance, with the clustering methods Unweighted Pair Group Method using Arithmetic Averages (UPGMA) and canonical variables. Genetic variability was observed for all assessed quantitative traits and the accessions were grouped in different classes. The traits with highest relative contribution to variability were longevity of flower stems and inflorescence length. The results indicated the existence of genetic variability among accessions of the Heliconia sp. germplasm bank, which can be exploited in breeding programs of the species anobis’ distance, with the clustering methods Unweighted Pair Group Method using Arithmetic Averages (UPGMA) and canonical variables. Genetic variability was observed for all assessed quantitative traits and the accessions were grouped in different classes. The traits with highest relative contribution to variability were longevity of flower stems and inflorescence length. The results indicated the existence of genetic variability among accessions of the Heliconia sp. germplasm bank, which can be exploited in breeding programs of the species

Parametric and non-parametric indexes applied in the selection of sour passion fruit progenies

Abstract Several traits must be observed in the selection of sour passion fruit progenies. For such, selection indices could be used for gradually increasing the frequency of favorable genotypes for the set of the traits of interest. This study aimed to compare parametric and non-parametric selection indices to be used in the selection of passion fruit progenies and identify the best economic weights. Thus, 118 full-sib families and three controls were assessed for days regarding flowering, productivity in kg ha-1 year, fruit mass in g, number of fruits, average length of fruits in mm, average fruit diameter in mm, fruit shape, average shell thickness in mm, pulp yield, pulp color, total soluble solids, titratable acidity and SS/ATT ratio. The non-parametric selection indexes used to obtain genetic gains were Mulamba and Mock, genotype-ideotype distance, multiplicative and Elston. Smith and Hazel, Williams and Pesek and Baker parametric indexes were used, with different economic weights attributed. The Mulamba and Mock, genotype-ideotype distance nonparametric selection indexes and the Williams parametric index showed satisfactory and balanced gains. The genetic variation coefficient, genetic standard deviation and random weight economic weights provided higher gains for non-parametric selection indexes. Similar gains were obtained for parametric indexes, regardless of assigned weight, except for Pesek and Baker, whose genetic standard deviation provided the highest gain

Parametric and non-parametric indexes applied in the selection of sour passion fruit progenies

<div><p>Abstract Several traits must be observed in the selection of sour passion fruit progenies. For such, selection indices could be used for gradually increasing the frequency of favorable genotypes for the set of the traits of interest. This study aimed to compare parametric and non-parametric selection indices to be used in the selection of passion fruit progenies and identify the best economic weights. Thus, 118 full-sib families and three controls were assessed for days regarding flowering, productivity in kg ha-1 year, fruit mass in g, number of fruits, average length of fruits in mm, average fruit diameter in mm, fruit shape, average shell thickness in mm, pulp yield, pulp color, total soluble solids, titratable acidity and SS/ATT ratio. The non-parametric selection indexes used to obtain genetic gains were Mulamba and Mock, genotype-ideotype distance, multiplicative and Elston. Smith and Hazel, Williams and Pesek and Baker parametric indexes were used, with different economic weights attributed. The Mulamba and Mock, genotype-ideotype distance nonparametric selection indexes and the Williams parametric index showed satisfactory and balanced gains. The genetic variation coefficient, genetic standard deviation and random weight economic weights provided higher gains for non-parametric selection indexes. Similar gains were obtained for parametric indexes, regardless of assigned weight, except for Pesek and Baker, whose genetic standard deviation provided the highest gain.</p></div