EffResViT-SE FusionNet: A Hybrid Deep Learning Framework for Accurate Classification of Coffee Leaf Diseases. [PDF]
Mehta B +5 more
europepmc +1 more source
A Survey of Crop Disease Recognition Methods Based on Spectral and RGB Images. [PDF]
Zheng H, Wang H, Dong H, Qian Y.
europepmc +1 more source
Global <i>Coffea arabica</i> variety trials reveal genotype-by-environment interactions in resistance to coffee leaf rust (<i>Hemileia vastatrix</i>). [PDF]
Berny Mier Y Teran JC +34 more
europepmc +1 more source
Novel clonal lineages of wheat stem rust in the Southern Cone of South America
Langlands-Perry C +12 more
europepmc +1 more source
Antifungal Biocontrol in Sustainable Crop Protection: Microbial Lipopeptides, Polyketides, and Plant-Derived Agents. [PDF]
Armenova N +7 more
europepmc +1 more source
Identification and potential of the hyperparasite Acremonium persicinum as biocontrol agent against coffee leaf rust. [PDF]
Liang M +11 more
europepmc +1 more source
Durum wheat mutants with enhanced disease resistance to stripe rust show differential responses to other fungal diseases. [PDF]
Lunde C +19 more
europepmc +1 more source
Oat Crown Rust in Jordan: A Comprehensive Survey and Analysis
openaire +1 more source
Related searches:
Mapping of the oat crown rust resistance gene Pc91
Theoretical and Applied Genetics, 2010Crown rust is an important disease of oat caused by Puccinia coronata Corda f. sp. avenae Eriks. Crown rust is efficiently and effectively managed through the development of resistant oat varieties. Pc91 is a seedling crown rust resistance gene that is highly effective against the current P. coronata population in North America.
C A Mccartney, B G Rossnagel, J Chong
exaly +3 more sources

