Record Details

Hybrid breeding for fall armyworm resistance Combining ability and hybrid prediction

CGSpace

View Archive Info
 
 
Field Value
 
Title Hybrid breeding for fall armyworm resistance Combining ability and hybrid prediction
 
Creator Kamweru, Isaac
Beyene, Yoseph
Bruce, Anani Y.
Adetimirin, Victor O.
Prasanna, Boddupalli M.
Gowda, Manje
 
Subject fall armyworms
combining ability
hybrids
maize
pest resistance
 
Description Fall armyworm (FAW, Spodoptera frugiperda) emerged as a major lepidopteran pest destroying maize in sub-Saharan Africa. A diallel mating design was used to generate 210 experimental hybrids from 21 lines. Experimental hybrids and four checks were evaluated in two locations. Commercial checks suffered higher foliar and ear damage compared to the top 15 hybrids. Mean squares associated with the genotypic variation were higher than genotype-by-environment interactions for foliar and ear damage traits. Heritabilities were moderate to high. Significant correlations were observed between grain yield (GY) with ear rot (−0.54) and ear damage (−0.45). Positive and significant GCA effects were observed for GY in seven parental lines, which were developed from multiple insect resistance breeding programmes. CKSBL10153 has the highest GCA value for GY and shows significant GCA effects for foliar and ear damage traits. These lines were identified as the ideal combiners for GY and FAW resistance and are therefore recommended for utilization as testers in the development of FAW-resistant three-way cross-hybrid maize with correlated response for increased GY. GCA and marker-based prediction correlations of GY were 0.79 and 0.96, respectively. Both GCA effects and marker-based models were effective in predicting hybrid performance for FAW resistance.
 
Date 2023
2023-10-31T22:46:35Z
2023-10-31T22:46:35Z
 
Type Journal Article
 
Identifier Kamweru, I., Beyene, Y., Anani, B., Adetimirin, V. O., Prasanna, B. M., & Gowda, M. (2023). Hybrid breeding for fall armyworm resistance: Combining ability and hybrid prediction. Plant Breeding, 142(5), 607–620.
1439-0523
https://hdl.handle.net/10568/132611
https://doi.org/10.1111/pbr.13129
 
Language en
 
Rights Copyrighted; all rights reserved
Limited Access
 
Publisher Wiley-Blackwell Publishing
 
Source Plant Breeding