سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

Smut Fungi Reported From Iran ( Identification - Hostrange - Distribution)

Publish Year: 1380
Type: Journal paper
Language: English
View: 168

This Paper With 252 Page And PDF Format Ready To Download

Export:

Link to this Paper:

Document National Code:

JR_ROST-2-2_001

Index date: 24 October 2022

Smut Fungi Reported From Iran ( Identification - Hostrange - Distribution) abstract

In the present study, previous reported smut fungi of Iran were reviewed. For this purpose, all specimens being present in the fungus section of Herbarium Ministerii Iranici Agriculturae "IRAN" as well as some newly collected ones were studied. Moreover, all taxonomic and or floristic papers so far published for smut fungi of Iran, were considered. Important characteristics such as: host plant(s), symptoms (sorus), spore morphology (attachment, size, shape, color, wall structure, ornamentation and sheath), immature spores, sterile cells and spore germination were used for the identification of each specimen. This paper covers 76 species of smut fungi (Ustilaginales, sensus HAWKSWORTH et al. 1995) belonging to 13 genera, i. e. Antracoidea (2 spp.), Entyloma (10 spp.), Farysia (1 sp.), Microbotryum (2 spp.), Moesziomyces (1 sp.), Neovossia (1 sp.), Sorosporium (1 sp.), Sporisorium (13 spp.), Tilletia (6 spp.), Tracya (1 sp.), Urocystis (17 spp.), Ustilago (19 spp.) and Vankya (3 spp.). In all, 122 taxa of higher plants are considered as their hosts, out of which 74 taxa belong to the Poaceae family. This paper also provides a key for the separation of genera existing in Iran. All the genera and their relation species were described and inserted alphabeticaly.

Smut Fungi Reported From Iran ( Identification - Hostrange - Distribution) Keywords:

-

Smut Fungi Reported From Iran ( Identification - Hostrange - Distribution) authors

جعفر ارشاد

Plant Pests & Diseases Research Institute, P. O. Box ۱۴۵۴, Tehran ۱۹۳۹۵, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
منابع در متن می باشد ...
نمایش کامل مراجع