Esfahani u.a.
Sydowia Vol. 73 E-Book/S 257-269
Novel Iranian wheat cultivars resistant ...
Artikel Nr 2919
erschienen 26.02.2021
Preis 16,50
In: Sydowia 73, (2021): 257-269; ISSN 0082-0598, DOI 10.12905/0380.sydowia73-2021-0257, Published online on February 26, 2021

Novel Iranian wheat cultivars resistant to Bipolaris sorokiniana

Abdolrasoul Gholamaliyan, Mehdi Nasr Esfahani & Abdelfattah A. Dababat

Mehregan Institutes of Higher Education - Central School, Mahalat, Iran.
Plant Protection Research Department, Isfahan Agricultural and Natural Resources Research and Education Center,
(AREEO), Isfahan, Iran
International Maize and Wheat Improvement Centre (CIMMYT), P.O. Box. 39, Emek 06511, Ankara, Turkey


Gholamaliyan A., Nasr Esfahani M. & Dababat A.A. (2021) Novel Iranian wheat cultivars resistant to Bipolaris sorokiniana. –
Sydowia 73: 257–269.
Wheat, Triticum aestivum, is one of the most important and strategic crops in human diet threatened by several diseases.
Common root rot disease of wheat caused by Bipolaris sorokiniana is one of the important fungal diseases, causing considerable
yield losses around the globe. Resistant sources are the only feasible and effective method of control for managing this disease.
We screened and analyzed statistically the response of 33 domestic and exotic wheat genotypes including cultivars and promising
lines against B. sorokiniana under greenhouse and field conditions. The differential responses of wheat genotypes to B. sorokiniana
were highly significant. The highest rates of B. sorokiniana in greenhouse and field were reported on cvs. ‘Karkheh’ and
‘Roshan-Beck-Cross’ with 61 % and 59 % disease severity, respectively, while the lowest infection was observed on cv. ’Alvand’
with 18 %, followed by cv. ’Baharan’ with 19 % disease severity. The remaining wheat genotypes were located in between these
two ranges of highest and lowest infected groups to B. sorokiniana, based on disease severity. There was a high correlation coefficient
between the related statistical groups and cluster analysis on disease severity scoring scales.

Keywords: Crown, disease severity, fungus, genotype, resistance.