Genetic Characteristics of F2 Populations Obtained Through Double and Three-Way Crosses in Cayenne Peppers

Abstract

The enhancement in cayenne pepper (Capsicum frutescens L.) productivity is intently needed due to the ever-increasing demand, considered a vital vegetable commodity with complete nutrition and high economic value in Indonesia. Conventional plant breeding is one of the strategies to produce superior cultivars with increased yield. Thus, the latest research aimed to identify genetic diversity and gene inheritance patterns for selecting high-yielding F2 populations of cayenne pepper made through double and three-way crosses. The said research employed an augmented design combined with a randomized complete block design as an environmental design. The research factors consisted of non-repeating cayenne pepper (Capsicum frutescens L.) lines with a limited number of seeds originating from 10 parental populations. The resulting 100 and 52 F22 individual populations, obtained from double and three-way crosses, respectively, were evaluated in comparison with four control cultivars, i.e., Bara, Dewata, Ungara, and Katokkon. The non-repeated rows, divided into five blocks, included the control cultivars planted repeatedly in each block. The results indicated that almost all traits have high genetic diversity and heritability and have potential use as selection criteria. The traits plant habitus (0.135), stem diameter (0.202), number of productive branches (0.359), and fruit weight (0.171) have a direct utmost influence on yield compared with other traits; thus, these promising traits can serve as selection criteria along with yield.

The selection index of S3 corn convergent breeding population based on multivariate analysis

“…Determining character as a selection criterion can be seen based on the correlation between the main character and supporting characters, as well as the magnitude of the direct influence of the supporting character on the main character, which can be done through correlation and path analysis (Khapte and Jansirani 2014;Mustafa et al 2019;Akbar et al 2021). The use of correlation analysis and path analysis has been widely carried out on various types of plants, such as Maize (Pavlov et al 2015;Amas et al 2021;Magar et al 2021;Pranay et al 2022), tomatoes (Singh et al 2018;Maurya et al 2020;Nevani and Sridevi 2021;Fadhilah et al 2022;Tsagaye et al 2022;Panchbhai and Kulkarni 2023), and chilies (Luitel et al 2013;Amas et al 2023).…”