Analisis Keragaman Genetik Karakter Morfologi Populasi M2 Cabai Hasil Iradiasi Sinar Gamma

  • Kristianto Nugroho Balai Besar Penelitian dan Pengembangan Bioteknologi dan Sumberdaya Genetik Pertanian Jl. Tentara Pelajar 3A, Cimanggu Bogor 16111, Indonesia
  • Trikoesoemaningtyas Departemen Agronomi dan Hortikultura, Fakultas Pertanian, Institut Pertanian Bogor (IPB University), Jl. Meranti, Kampus IPB Darmaga, Bogor 16680, Indonesia
  • Muhamad Syukur Departemen Agronomi dan Hortikultura, Fakultas Pertanian, Institut Pertanian Bogor (IPB University), Jl. Meranti, Kampus IPB Darmaga, Bogor 16680, Indonesia
  • Puji Lestari Balai Besar Penelitian Tanaman Padi, Jl. Raya 9 Sukamandi, Subang 41256, Indonesia

Abstract

Mutation is a useful technique that could be used to increase genetic variability of chili as a basis for developing new improved varieties. The aim of this study was to analyze the genetic variability of M2 population derived from gamma irradiation based on morphological characters. The analysis was conducted through estimation of genetic variability, broad-sense heritability, and also path analysis to see which characters have a direct and indirect effect on the yield. As many as 350 M2 plants were evaluated for their morphological characters at the ICABIOGRAD experimental field in Bogor from August 2020 to January 2021. The results showed that harvest period and canopy width had a broad genetic variability in M2 population. Several quantitative characters such as fruit length, fruit diameter, weight per fruit, leaf length, leaf width, and canopy width showed high broad-sense heritability values. Path analysis showed that there were two characters namely stem diameter and canopy width with the highest direct effect on the yield.

Keywords: correlation, genetic variance, heritability, induced mutation, path analysis

Published
2022-01-03
How to Cite
NugrohoK., Trikoesoemaningtyas, Muhamad Syukur, & Puji Lestari. (2022). Analisis Keragaman Genetik Karakter Morfologi Populasi M2 Cabai Hasil Iradiasi Sinar Gamma. Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy), 49(3), 273-279. https://doi.org/10.24831/jai.v49i3.38448