Published date: Jun 07 2022

Journal Title: KnE Life Sciences

Issue title: The First Asian PGPR Indonesian Chapter International e-Conference 2021

Pages: 62–71

DOI: 10.18502/kls.v7i3.11107

Bambang Supriyantabambangsg2@gmail.comFaculty of Agriculture, Universitas Pembangunan Nasional “Veteran” Yogyakarta, Indonesia

Indah WidowatiFaculty of Agriculture, Universitas Pembangunan Nasional “Veteran” Yogyakarta, Indonesia

Frans Richard KodongFaculty of Industrial Technology, Universitas Pembangunan Nasional “Veteran” Yogyakarta, Indonesia

Ananda SafitriFaculty of Agriculture, Universitas Pembangunan Nasional “Veteran” Yogyakarta, Indonesia

The focus of this research was to determine the growth and yield of several melon lines in generation S3, as well as to estimate the genetic variants, morphologies, and yield heritability. A randomized design was used, which consisted of a single factor with four replications. Six melon lines from generation S3 were used, namely DS-1-1-4, DS-1-1-10, DS-1-1-11, DS-1-2-10, DS-1-2-17, and DS-1-3-3, for a total of 24 experimental units. There were ten plants in each experimental unit. The smart farming hydroponic system was used. Plant height, stem diameter, male and female flowering, horizontal and vertical fruit girth, pulp thickness, fruit weight, and total soluble solids were the parameters measured. The data were analyzed using analysis of variance and the genetic parameter was estimated by analyzing the genetic coefficient of variation and broad sense heritability. Except for plant height, the results showed that all of the characteristics had a low genetic coefficient of variation. Plant height two weeks after planting showed high broad sense heritability (84.56%), as did pulp thickness (77.89%), female flowering (75.83%), male flowering (74.65%), plant height three weeks after planting (66.25%), and plant weight (50.81%). Plant height, male and female flowering, vertical fruit girth, and fruit weight were best represented by the DS-1-2-10 lines.

Keywords: Melon lines, genetic parameters, smart farming, heritability.

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