Heterosis and Combining Ability of Drought-Tolerant Maize Lines for Grain Yield in Contrasting Moisture and Plant Density Environments

In drought prone areas of Ethiopia, maize is produced by small-scale farmers’ where additional inputs are rarely applied. Although genetic tolerance is recommended for moisture stress, there is limited information on drought-tolerant genotypes reaction to variable environments. In this study, eight drought tolerant lines and their diallel crosses were tested separately in randomized complete block design under normal and high plant densities that combined with well watered and drought stress to estimate performance, heterosis and combining ability for grain yield. Both types of genotypes gave highest grain yield under well watered high plant density. However, least performance of inbred lines and highest heterosis was recorded under drought stressed high density, which confirmed more stress tolerance of hybrids than their parents. Although the predominant role of non-additive effects was observed for grain yield in most environments, the highly significant GCA x E and SCA x E interactions shows that combining ability effects change with growing conditions. Moreover, the observed weak association between grain yield of hybrids and inbred lines per se suggested the importance of evaluation of crosses in variable environments. Some of the new crosses gave better yield than local hybrids in less stress and stress environments. Generally, this study confirmed that hybrids developed from drought-tolerant inbred lines combined stress tolerance and high yield potential.

Data and Resources

Additional Info

Field Value
Author Bogale Gezahegn, J.B.J. van Rensburg, C.S. van Deventer
Maintainer EIAR
Last Updated December 30, 2023, 20:27 (UTC)
Created March 18, 2023, 12:50 (UTC)
contributor Getachew, Meron
creator Bogale Gezahegn
date 2023-01-04T00:00:00
harvest_object_id 5c13c499-a51e-4a54-9deb-f492a6289ff6
harvest_source_id b7467cdf-8775-49cd-b162-b68283e0d13b
harvest_source_title EIAR Open Research Data
identifier https://doi.org/10.20372/eiar-rdm/HYSBY1
metadata_modified 2023-01-05T07:00:00