Assessing genetic variability and heritability in the F4 population of mutant Bioguma and Gando Keta local Indonesian sorghum [Sorghum bicolor (L.) Moench]

Endang Lestari, Karlina Syahruddin, Heny Herawati, Suarni Suarni, Moch Subechan, Suwarti Suwarti, Slamet Priyanto, Herniwati Herniwati and Diana Widiastuti
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Endang Lestari: Research Center for Food Crops, Research Organization for Agriculture and Food, Bogor, West Java, Indonesia
Karlina Syahruddin: Research Center for Food Crops, Research Organization for Agriculture and Food, Bogor, West Java, Indonesia
Heny Herawati: Research Center for Agroindustry, Research Organization for Agriculture and Food, Bogor, West Java, Indonesia
Suarni Suarni: Research Center for Food Crops, Research Organization for Agriculture and Food, Bogor, West Java, Indonesia
Moch Subechan: Research Center for Food Crops, Research Organization for Agriculture and Food, Bogor, West Java, Indonesia
Suwarti Suwarti: Research Center for Food Crops, Research Organization for Agriculture and Food, Bogor, West Java, Indonesia
Slamet Priyanto: Research Center for Food Crops, Research Organization for Agriculture and Food, Bogor, West Java, Indonesia
Herniwati Herniwati: Research Center for Food Crops, Research Organization for Agriculture and Food, Bogor, West Java, Indonesia
Diana Widiastuti: Department of Chemistry, Faculty of Mathematics and Natural Science, Universitas Pakuan, West Java, Indonesia

Czech Journal of Genetics and Plant Breeding, vol. preprint

Abstract: This study examined the genetic variability, heritability, and genetic advance in the F4 generation of sorghum to enhance grain productivity. The study was conducted at Citayam Research Station, Depok Indonesia (March-September 2023), and evaluated 102 progenies of the F4 population from a Bioguma (a mutant line) × Gando Keta (a local variety) cross using an Augmented block design with four replications. The results of this experiment indicated that the F4 generation outperformed the Gando Keta grain yield components, but remained inferior to Bioguma. The yield traits were influenced by the non-additive gene action, with genetic factors playing a significant role in grain weight variation. The top 20% of F4 progenies exhibited improved yield characteristics, including thicker stems, larger panicles, and increased grain weight.

Keywords: cluster analysis; F4 generation; genetic advancement; genotypic coefficient of variation (GCV) (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjg:v:preprint:id:15-2025-cjgpb

DOI: 10.17221/15/2025-CJGPB

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