Saberi-Riseh, Roohallah, Dashti, Hossein, Gholizadeh-Vazvani, Mozhgan (2022). Association between agronomic traits and molecular markers with take-all disease severity in bread wheat Triticum aestivum. , 11(1), 39-59. doi: 10.48311/jcp.2022.1577
Roohallah Saberi-Riseh; Hossein Dashti; Mozhgan Gholizadeh-Vazvani. "Association between agronomic traits and molecular markers with take-all disease severity in bread wheat Triticum aestivum". , 11, 1, 2022, 39-59. doi: 10.48311/jcp.2022.1577
Saberi-Riseh, Roohallah, Dashti, Hossein, Gholizadeh-Vazvani, Mozhgan (2022). 'Association between agronomic traits and molecular markers with take-all disease severity in bread wheat Triticum aestivum', , 11(1), pp. 39-59. doi: 10.48311/jcp.2022.1577
Saberi-Riseh, Roohallah, Dashti, Hossein, Gholizadeh-Vazvani, Mozhgan Association between agronomic traits and molecular markers with take-all disease severity in bread wheat Triticum aestivum. , 2022; 11(1): 39-59. doi: 10.48311/jcp.2022.1577

Association between agronomic traits and molecular markers with take-all disease severity in bread wheat Triticum aestivum

Journal of Crop Protection
Article 3, Volume 11, Issue 1, 2022, Pages 39-59    PDF (610.83 K)
Document Type: Original Research
DOI: 10.48311/jcp.2022.1577
Authors
Roohallah Saberi-Riseh* 1; Hossein Dashti2; Mozhgan Gholizadeh-Vazvani1
1Department of Plant Protection, Faculty of Agriculture, Vali -e- Asr University of Rafsanjan, Rafsanjan, Iran.
2Department of Genetics and Plant Production, Faculty of Agriculture, Vali -e- Asr University of Rafsanjan, Rafsanjan, Iran.
Abstract
Identifying resistant genotypes is necessary to control wheat take-all disease Gaeumannomyces graminis var. tritici. In this study, 30 bread wheat genotypes were evaluated under greenhouse and field conditions. The genotypes were evaluated with fifteen molecular markers (SSR and specific primers for translocation wheat-rye). The genotypes were divided into four groups based on disease severity (the greenhouse) and agronomic traits (the field). Chi-square results showed the interactions for these groupings. The correlation between disease severity and agronomic traits indicated that plant resistance is strongly dependent on plant yield. Based on cluster analysis for molecular data (based on simple matching similarity coefficient and UPGMA method), genotypes were separated into resistant and susceptible ones. The correlation between disease severity and amplified loci showed that disease resistance is interactive with xbarc232, xbarc124, and gpw95001 markers. Resistance to take-all disease is probably associated with the interaction of several genes. These results add significant information to our knowledge of the chromosomal location of genes for the take-all disease.
Keywords
chi-square; Cluster Analysis; disease severity; resistance gene; take-all
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