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Mapping of QTLs for Resistance to Late Wilt of Maize in Egypt Using SNPs

Late Wilt disease in maize, caused by Cephalosporium maydis, is considered to be the most economically important fungal disease of maize in Egypt. The fungus is a soil borne vascular disease that affects vascular tissue by penetrating the root system and colonizing the xylem. An infection rate of up...

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Main Author: Al Taweel, Hamed Muhammad
Format: Thesis
Published: AUC Knowledge Fountain 2013
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author Al Taweel, Hamed Muhammad
author_browse Al Taweel, Hamed Muhammad
author_facet Al Taweel, Hamed Muhammad
author_sort Al Taweel, Hamed Muhammad
collection Thesis
dc_rights_str_mv The American University in Cairo grants authors of theses and dissertations a maximum embargo period of two years from the date of submission, upon request. After the embargo elapses, these documents are made available publicly. If you are the author of this thesis or dissertation, and would like to request an exceptional extension of the embargo period, please write to thesisadmin@aucegypt.edu
http://creativecommons.org/licenses/by-nc-sa/4.0/
description Late Wilt disease in maize, caused by Cephalosporium maydis, is considered to be the most economically important fungal disease of maize in Egypt. The fungus is a soil borne vascular disease that affects vascular tissue by penetrating the root system and colonizing the xylem. An infection rate of up to 100% can be recorded in fields of susceptible hybrids, which can result in a yield loss of 50%. Therefore, characterizing traits and their genes that confer resistance against C. maydis is a priority in maize crop management. In this study, quantitative trait loci (QTL) of late wilt resistance were mapped by using eight F3 populations encompassing 554 lines ( five populations belongs to the stiff stalk group, while the other three belongs to the non-stiff stalk genetic group) resulting from crossings between five resistant and six susceptible inbred lines. The populations and their parents were evaluated under artificial infestation using the four Egyptian clonal lineages of the pathogen during the growing season in 2011. Variation shown in infection incidence within the populations was significant regarding disease symptoms. Parents for each of the 8 population showed high diversion in infection incidence, varied between 5% for resistant parents, while reached average of 66% for susceptible parents. QTLs were mapped on the public linkage map IBM2 constructed with 842 SNPs. Composite Interval Mapping on IBM2 linkage map identified major QTLs accounting for 1 to 58 % of the phenotypic variance, which can be candidate markers used in Marker Assisted Selection to breed for late wilt resistance in maize.
format Thesis
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institution American University in Cairo (Egypt)
last_indexed 2026-06-10T12:35:59.828Z
license_str Creative Commons
provenance_str_mv Harvested via OAI-PMH from AUC Knowledge Fountain — bepress
publishDate 2013
publishDateRange 2013
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spelling oai:fount.aucegypt.edu:etds-3219 Mapping of QTLs for Resistance to Late Wilt of Maize in Egypt Using SNPs Al Taweel, Hamed Muhammad Late Wilt disease in maize, caused by Cephalosporium maydis, is considered to be the most economically important fungal disease of maize in Egypt. The fungus is a soil borne vascular disease that affects vascular tissue by penetrating the root system and colonizing the xylem. An infection rate of up to 100% can be recorded in fields of susceptible hybrids, which can result in a yield loss of 50%. Therefore, characterizing traits and their genes that confer resistance against C. maydis is a priority in maize crop management. In this study, quantitative trait loci (QTL) of late wilt resistance were mapped by using eight F3 populations encompassing 554 lines ( five populations belongs to the stiff stalk group, while the other three belongs to the non-stiff stalk genetic group) resulting from crossings between five resistant and six susceptible inbred lines. The populations and their parents were evaluated under artificial infestation using the four Egyptian clonal lineages of the pathogen during the growing season in 2011. Variation shown in infection incidence within the populations was significant regarding disease symptoms. Parents for each of the 8 population showed high diversion in infection incidence, varied between 5% for resistant parents, while reached average of 66% for susceptible parents. QTLs were mapped on the public linkage map IBM2 constructed with 842 SNPs. Composite Interval Mapping on IBM2 linkage map identified major QTLs accounting for 1 to 58 % of the phenotypic variance, which can be candidate markers used in Marker Assisted Selection to breed for late wilt resistance in maize. 2013-01-01T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/2179 https://fount.aucegypt.edu/context/etds/article/3219/viewcontent/thesis_2013_114_Hamed_Muhammed_Al_Taweel.pdf The American University in Cairo grants authors of theses and dissertations a maximum embargo period of two years from the date of submission, upon request. After the embargo elapses, these documents are made available publicly. If you are the author of this thesis or dissertation, and would like to request an exceptional extension of the embargo period, please write to thesisadmin@aucegypt.edu http://creativecommons.org/licenses/by-nc-sa/4.0/ Theses and Dissertations AUC Knowledge Fountain maize wilt Biotechnology Food Biotechnology Life Sciences
spellingShingle maize
wilt
Biotechnology
Food Biotechnology
Life Sciences
Al Taweel, Hamed Muhammad
Mapping of QTLs for Resistance to Late Wilt of Maize in Egypt Using SNPs
title Mapping of QTLs for Resistance to Late Wilt of Maize in Egypt Using SNPs
title_full Mapping of QTLs for Resistance to Late Wilt of Maize in Egypt Using SNPs
title_fullStr Mapping of QTLs for Resistance to Late Wilt of Maize in Egypt Using SNPs
title_full_unstemmed Mapping of QTLs for Resistance to Late Wilt of Maize in Egypt Using SNPs
title_short Mapping of QTLs for Resistance to Late Wilt of Maize in Egypt Using SNPs
title_sort mapping of qtls for resistance to late wilt of maize in egypt using snps
topic maize
wilt
Biotechnology
Food Biotechnology
Life Sciences
url https://fount.aucegypt.edu/etds/2179
https://fount.aucegypt.edu/context/etds/article/3219/viewcontent/thesis_2013_114_Hamed_Muhammed_Al_Taweel.pdf
work_keys_str_mv AT altaweelhamedmuhammad mappingofqtlsforresistancetolatewiltofmaizeinegyptusingsnps