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Genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease

Maize lethal necrosis (MLN) disease is a recent outbreak in eastern Africa and has emerged as a significant threat to maize production in the region. The disease is caused by the co-infection of Maize chlorotic mottle virus and any member of potyviridae family. A total of 28 maize inbred lines with...

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Autores principales: Beyene, Yoseph, Gowda, Manje, Suresh, L. M., Mugo, Stephen, Olsen, Michael, Oikeh, Sylvester O., Juma, Collins, Tarekegne, Amsal, Prasanna, Boddupalli M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961509/
https://www.ncbi.nlm.nih.gov/pubmed/32009665
http://dx.doi.org/10.1007/s10681-017-2012-3
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author Beyene, Yoseph
Gowda, Manje
Suresh, L. M.
Mugo, Stephen
Olsen, Michael
Oikeh, Sylvester O.
Juma, Collins
Tarekegne, Amsal
Prasanna, Boddupalli M.
author_facet Beyene, Yoseph
Gowda, Manje
Suresh, L. M.
Mugo, Stephen
Olsen, Michael
Oikeh, Sylvester O.
Juma, Collins
Tarekegne, Amsal
Prasanna, Boddupalli M.
author_sort Beyene, Yoseph
collection PubMed
description Maize lethal necrosis (MLN) disease is a recent outbreak in eastern Africa and has emerged as a significant threat to maize production in the region. The disease is caused by the co-infection of Maize chlorotic mottle virus and any member of potyviridae family. A total of 28 maize inbred lines with varying levels of tolerance to MLN were crossed in a half-diallel mating design, and the resulting 340 F(1) crosses and four commercial checks were evaluated under MLN artificial inoculation at Naivasha, Kenya in 2015 and 2016 using an alpha lattice design with two replications. The objectives of the study were to (i) investigate the magnitude of general combining ability variance (σ(GCA)(2)) and specific combining ability variance (σ(SCA)(2)) and their interaction with years; (ii) evaluate the efficiencies of GCA based prediction and hybrid performance by means of a cross-validation procedure; (iii) estimate trait correlations in the hybrids; and (iv) identify the MLN tolerant single cross hybrids to be used as female parents for three-way cross hybrids. Results of the combined analysis of variance revealed that both GCA and SCA effects were significant (P < 0.05) for all traits except for ear rot. For MLN scores at early and late stages, GCA effects were 2.5–3.5 times higher than SCA effects indicating that additive gene action is more important than non-additive gene action. The GCA based prediction efficiency for MLN resistance and grain yield accounted for 67–90% of the variations in the hybrid performance suggesting that GCA-based prediction can be proposed to predict MLN resistance and grain yield prior to field evaluation. Three parents, CKDHL120918, CML550, and CKLTI0227 with significant GCA effects for GY (0.61–1.21; P < 0.05) were the most resistant to MLN. Hybrids “CKLTI0227 × CML550”, “CKDHL120918 × CKLTI0138”, and “CKDHL120918 × CKLTI0136” ranked among the best performing hybrids with grain yield of 6.0–6.6 t/ha compared with mean yield of commercial check hybrids (0.6 t/ha). The MLN tolerant inbred lines and single cross hybrids identified in this study could be used to improve MLN tolerance in both public and private sector maize breeding programs in eastern Africa.
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spelling pubmed-69615092020-01-29 Genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease Beyene, Yoseph Gowda, Manje Suresh, L. M. Mugo, Stephen Olsen, Michael Oikeh, Sylvester O. Juma, Collins Tarekegne, Amsal Prasanna, Boddupalli M. Euphytica Article Maize lethal necrosis (MLN) disease is a recent outbreak in eastern Africa and has emerged as a significant threat to maize production in the region. The disease is caused by the co-infection of Maize chlorotic mottle virus and any member of potyviridae family. A total of 28 maize inbred lines with varying levels of tolerance to MLN were crossed in a half-diallel mating design, and the resulting 340 F(1) crosses and four commercial checks were evaluated under MLN artificial inoculation at Naivasha, Kenya in 2015 and 2016 using an alpha lattice design with two replications. The objectives of the study were to (i) investigate the magnitude of general combining ability variance (σ(GCA)(2)) and specific combining ability variance (σ(SCA)(2)) and their interaction with years; (ii) evaluate the efficiencies of GCA based prediction and hybrid performance by means of a cross-validation procedure; (iii) estimate trait correlations in the hybrids; and (iv) identify the MLN tolerant single cross hybrids to be used as female parents for three-way cross hybrids. Results of the combined analysis of variance revealed that both GCA and SCA effects were significant (P < 0.05) for all traits except for ear rot. For MLN scores at early and late stages, GCA effects were 2.5–3.5 times higher than SCA effects indicating that additive gene action is more important than non-additive gene action. The GCA based prediction efficiency for MLN resistance and grain yield accounted for 67–90% of the variations in the hybrid performance suggesting that GCA-based prediction can be proposed to predict MLN resistance and grain yield prior to field evaluation. Three parents, CKDHL120918, CML550, and CKLTI0227 with significant GCA effects for GY (0.61–1.21; P < 0.05) were the most resistant to MLN. Hybrids “CKLTI0227 × CML550”, “CKDHL120918 × CKLTI0138”, and “CKDHL120918 × CKLTI0136” ranked among the best performing hybrids with grain yield of 6.0–6.6 t/ha compared with mean yield of commercial check hybrids (0.6 t/ha). The MLN tolerant inbred lines and single cross hybrids identified in this study could be used to improve MLN tolerance in both public and private sector maize breeding programs in eastern Africa. Springer Netherlands 2017-09-02 2017 /pmc/articles/PMC6961509/ /pubmed/32009665 http://dx.doi.org/10.1007/s10681-017-2012-3 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Beyene, Yoseph
Gowda, Manje
Suresh, L. M.
Mugo, Stephen
Olsen, Michael
Oikeh, Sylvester O.
Juma, Collins
Tarekegne, Amsal
Prasanna, Boddupalli M.
Genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease
title Genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease
title_full Genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease
title_fullStr Genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease
title_full_unstemmed Genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease
title_short Genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease
title_sort genetic analysis of tropical maize inbred lines for resistance to maize lethal necrosis disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961509/
https://www.ncbi.nlm.nih.gov/pubmed/32009665
http://dx.doi.org/10.1007/s10681-017-2012-3
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