Genetic variability of Physalis ixocarpa and P. philadelphica from physicochemical fruit traits

Abstract

The objective of this work was to estimate the genetic parameters and genetic divergence of two species of Physalis based on fruit traits, as well as the correlations between these traits. The experiment was carried out in a randomized complete block, with three treatments (P. philadelphica and the green and purple varieties of P. ixocarpa), and six replicates. The following traits were evaluated: average fruit mass (AFM), soluble solids (SS), longitudinal fruit diameter (LFD), transversal fruit diameter (TFD), total fruit mass (TFM), number of fruit per plant (NF), reducing sugars (RS), and total sugars (TS). Genetic divergence was estimated by Tocher’s and the UPGMA methods. There was genetic divergence between the Physalis species, with a higher contribution of AFM, LFD, and TFD, mainly by Tocher’s method. A positive correlation was observed between AFM x LFD, AFM x TFD, and LFD x TFD, and a negative correlations between LFD x TFM, TFD x TFM, and NF x RS. The species were discriminated by total sugars. The AFM, LFD, TFD, and TS traits show significant genetic variation and high values of heritability; therefore, they are suitable targets for the genetic breeding of the evaluated Physalis species.

Selection parameters for improvement of yield and quality in tomatillo

“…This method is usually the simplest to operate and, in many circumstances, yields the most rapid response. The genetic principles of individual selection appear to be similar to the pure line selection strategy that has been used in many breeding programs, such as in coffee (Carvalho et al, 1952), beans (Yokoyama et al, 1999;Santos;Abreu;Ramalho, 2002), and rice (Rangel;Zimmermann;Neves, 1998). It is expected that during selection process, a high selection differential could be obtained, to provide greater progress in selection.…”

“…In tomatillo, few studies on correlation without investigating the effect of indirect selection, such as path coefficient analysis as a tool for enhancement selection gain, have been reported to estimate the associations between yield and other traits (Peña- Lomelí et al, 2008;Santos et al, 2021). In this respect, multiple traits should be taken into consideration simultaneously in selection to meet farmers, manufacturers and consumer requirements (Carvalho et al, 2021).…”