The asexual morph and molecular phylogeny of endemic on .

is a powdery mildew species (, tribe ) so far only known from its type material collected in China on in 1992, which only comprised the sexual morph. Two asexual morph samples were observed, one was collected on . on the campus of Guizhou University, Guiyang, China, and another one, on , was borrowed from Kunming Institute of Botany, Chinese Academy of Sciences.

Phylogeny and taxonomy of species (powdery mildew: ) occurring on the ash trees ( spp.).

The genus (), known as ash trees, currently comprises 43 recognized species that are distributed in temperate and subtropical regions of the Northern Hemisphere. Two species, and , have been known on spp. so far.

One Crop Disease, How Many Pathogens? and sp. nov. Identified as the Two Species that Cause Powdery Mildew of Mungbean () and Black Gram () in Australia.

Powdery mildew is a significant threat to mungbean () and black gram () production across Australia and overseas. Although they have been present in Australia for at least six decades and are easily recognized in the field, the precise identification of the pathogens causing this disease has remained unclear. Our goal was to identify the powdery mildew species infecting mungbean, black gram, and wild mungbean ( ssp.

Multi-locus phylogeny and taxonomy of an unresolved, heterogeneous species complex within the genus Golovinomyces (Ascomycota, Erysiphales), including G. ambrosiae, G. circumfusus and G. spadiceus.

Background: Previous phylogenetic analyses of species within the genus Golovinomyces (Ascomycota, Erysiphales), based on ITS and 28S rDNA sequence data, revealed a co-evolutionary relationship between powdery mildew species and hosts of certain tribes of the plant family Asteraceae. Golovinomyces growing on host plants belonging to the Heliantheae formed a single lineage, comprised of a morphologically differentiated complex of species, which included G. ambrosiae, G.

[Trends and temporal-spatial distribution of fiber quality in the national cotton variety regional trials.].

This study applied a grey predicting model to predict the trend of cotton fiber quality for next 5 and 10 years in the Yellow River Valley (YeRV), the Yangtze River Valley (YaRV) and the Northwest Inland Region (NWIR) based on the data set from the fiber quality traits of candidate cultivars in National Cotton Variety Regional Trials during 2005-2014. The temporal and spatial distributions of cotton trails in the three major cotton producing regions were analyzed. The results showed that the overall fiber quality of the Regional Cotton Variety Trials was improved during 2005-2014.