Skip to content
Research Article Open access CC BY 4.0

Genetic Variability, Heritability and Genetic Advance for Agronomic Traits of Ethiopian Sorghum [Sorghum bicolor (L.) Moench] Landraces

Habtamu Alemu, Habtamu Demelash

Asian Journal of Advances in Agricultural Research · pp. 1–9 · Published 29 Dec 2022

10.9734/ajaar/2022/v20i3396

Abstract

Sorghum (Sorghum bicolor L. Moench) is an important food security crop mainly in semi-arid and tropical parts of the African countries. Even though it is believed to be originated and domesticated in Ethiopia, sorghum production is inhibited by limited number of high yielding varieties. A field experiment was conducted at Assosa and Pawe Agricultural Research Centers during the 2019/20 cropping season with the objective of identifying sorghum landraces and breeding lines with high grain yield, study phenotypic and genotypic variability, heritability and genetic advance for yield and yield contributing traits. Forty two (42) sorghum landraces and breeding lines were planted in RCBD design in row column arrangement with two replications. The result of analysis of variance revealed that there is a significant variation among the tested landraces and breeding lines for all the evaluated characters. The highest yield of 3297Kg/ha was recorded for AScol19-Krm 124 followed by Ya036/1 with the mean yield of 3146kg/ha while the lowest grain yield of 817kg/ha was recorded for ETSCAs 10002-2-13-1 breeding line. Higher Phenotypic Coefficient of Variation and Genotypic Coefficient of Variation values were scored for grain yield. High estimates of broad sense heritability were found in all plant characters under study. Highest heritability estimates (97.8) were found in grain yield. Values of genetic advance ranged between 21.94 for days to physiological maturity to 1934.46 for grain yield and the genetic gain (of the mean percent) was ranged from 11.48 for days to physiological maturity to 99.41 for grain yield. The greater extent of broad sense heritability together with higher genetic advance in characters studied showed the evidence that these traits were under the control of additive genetic effects which means undertaking selection in these landraces and breeding lines should lead to a rapid enhancement of the traits studied.

Genetic gain grain yield selection sorghum coefficient of variation

References (14)

  1. 1 Introduction to Quantitative Genetics [DOI]
  2. 2 Traits related to drought resistance in common bean [DOI]
  3. 3 . Genetic variability, heritability, genetic advance and trait correlations in selected sorghum (Sorghum bicolor L. Moench) varieties
  4. 4 Assessing sorghum (Sorghum bicolor (L) Moench) germplasm for new traits: food, fuels & unique uses
  5. 5 The Potential for Crop‐to‐Wild Gene Flow in Sorghum in Ethiopia and Niger: A Geographic Survey [DOI]
  6. 6 Phenotypic and molecular diversity of maize landraces: characterization and utilization
  7. 7 Studies on Genetic Variability in Cultivated Sorghum (Sorghum bicolor L. Moench) Cultivars of Adamawa State Nigeria
  8. 8 Estimation of GCV, PCV, Heritability and Genetic Gain for Yield and its Related Components in Sorghum [Sorghum bicolor (l.) Moench] [DOI]
  9. 9 Genetic variability and correlation of agronomic and malt quality traits in Ethiopian sorghum [Sorghum bicolor (L.) Moench] landraces at Sheraro, Northern Ethiopia [DOI]
  10. 10 Assessment of genetic diversity in sorghum using phenotypic markers [DOI]
  11. 11 Sorghum and Its Weedy Hybrids [DOI]
  12. 12 International Journal of Current Microbiology and Applied Sciences [DOI]
  13. 13 Sorghum grain as human food in Africa: relevance of content of starch and amylase activities
  14. 14 Advances in Crop Science and Technology [DOI]

Cited by 12

Genetic Variability Studies in Dry Lowland Sorghum Landraces of Abergelle, Northern Ethiopia

Fantaye Belay, Hintsa Meresa, Kibrom Fiseha · Asian Journal of Biological Sciences · 2025

Genetic variability and heritability of growth, yield and quality traits in Gymnema sylvestre: an anti-diabetic medicinal herb

Hunnanadoddi C. Raghavendra, Mony R. Rohini, Vala K. Rao · Plant Genetic Resources: Characterization and Utilization · 2024

Showing 6 of 12 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

28

Page views

0

PDF downloads

18

Outbound clicks

12

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.