Journal of
Plant Breeding and Crop Science

  • Abbreviation: J. Plant Breed. Crop Sci.
  • Language: English
  • ISSN: 2006-9758
  • DOI: 10.5897/JPBCS
  • Start Year: 2009
  • Published Articles: 360

Full Length Research Paper

Genetic variability studies on bread wheat (Triticum aestivum L.) genotypes

Alemu Dabi
  • Alemu Dabi
  • Department of Plant Breeding, Assosa Agricultural Research Center, Ethiopia.
  • Google Scholar
Firew Mekbib
  • Firew Mekbib
  • Department of Plant Breeding, Faculty of Agricultural Science, Haramaya University, Ethiopia.
  • Google Scholar
Tadesse Desalegn
  • Tadesse Desalegn
  • The German Society for International Cooperation (GIZ) GmbH, Addis Ababa, Ethiopia
  • Google Scholar


  •  Received: 18 July 2016
  •  Accepted: 27 March 2017
  •  Published: 28 February 2019

Abstract

Thirty bread wheat genotypes were tested to assess the genetic variability, among studied genotypes using alpha-lattice design at Tongo sub-center of Assosa Agricultural Research Center and Kulumsa Agricultural Research Center in 2015. Analysis of variance revealed that there were statistically significant differences among the genotypes for most of the traits at individual and across locations. From the combined analysis of variance, significant (p≤0.05) effect due to location, varieties and G×E was observed for most of the traits. The varieties showed wider variability in mean grain yield of 1284.4-3788.7 kg ha-1, 2588.3-4683.3 kg ha-1 and 1936.4 - 4095.6 at Tongo, Kulumsa and across location, respectively. Moderate PCV values (>10%) were obtained for grain yield, 1000 kernel weight, harvest index, tillers per plant and spikes per plant at individual location and across location including days to heading, above ground biomass yield, spike length and kernels per spike at Tongo and above ground biomass yield at Kulumsa. Similarly, moderate GCV values (>10%) were obtained for grain yield, 1000 kernel weight, tillers per plant and spikes per plant  at individual location including days to heading, harvest index and kernels per spike at Tongo and above ground biomass yield at Kulumsa. Lower (<10%) was obtained for all traits across location. High heritability estimates (>80%) were obtained for days to heading (86.0%) and days to maturity (85.1%) at Tongo and days to heading (86.2 and 82.69%) and spikes length (80.1 and 82.85%) at Kulumsa and across location. But relatively high genetic advance (>20%) was obtained for grain yield (28.5%) and harvest index (24.3%) at Tongo. Moderate genetic advance (10-20%) was observed for 1000 kernel weight, spikes length and days to heading at individual location and across location including spikelets per spike, tillers per plant, above ground biomass, spikes per plant and plant height at individual location. Generally, it has been observed the presence of variability among the genotypes, heritability in the tested traits of the genotypes studied. Hence, Selection and hybridization on those genotypes based on the trait with high GCV, heritability and genetic advance can be recommended for farther yield improvement of bread wheat at respective location.

Key words: Heritability, genetic advance, traits, phenotypic, genotypic coefficient of variation.