Results 81 to 90 of about 695 (151)

Harnessing the power of a novel gene to combat Asian soybean rust: a promising breakthrough

Phytopathology Research
Plant diseases have significant implications on agriculture and food security. Recent research published in Nature Communications by Hao et al. (Nat Commun 15:3310, 2024) has identified a novel disease-resistant gene, Rpp6907-7, which shows high ...
Yuanchao Wang
doaj   +1 more source

Chemical management of Phakopsora pachyrhizi: Effect on incidence, severity, and yield in soybean

Notulae Botanicae Horti Agrobotanici Cluj-Napoca
Asian soybean rust (Phakopsora pachyrhizi) is one of the main diseases in soybean crops. In Mexico, there is limited knowledge regarding its management, therefore the objective of this research was to evaluate the effect of mixtures of fungicides of the
Moisés FELIPE-VICTORIANO, José L. ARISPE-VAZQUEZ, Martha SANTIS-SANTIS, Reinaldo MÉNDEZ-AGUILAR, César A. ESPINOZA-AHUMADA, Carolina DELGADO-LUNA, William ZÁRATE-MARTÍNEZ, Juan PATISHTAN-PÉREZ   +7 more
doaj   +1 more source

FLUXAPYROXAD IN THE ASIAN SOYBEAN RUST CONTROL IN THE CERRADO BIOME

Revista Caatinga, 2016
The etiologic agent of the Asian soybean rust is the Phakopsora pachyrhizi, which causes a reduction in the photosynthetic leaf area and, consequently, in the crop yield. Chemical control is one of the main measures for its management.
RAFAEL MENEZES SILVA DE FREITAS, LEONEL ESPÓSITO DE LIMA, ROGER SANTOS SILVA, HERCULES DINIZ CAMPOS, ADRIANO PERIN   +4 more
doaj  

Genetic Mapping of Seven Kinds of Locus for Resistance to Asian Soybean Rust. [PDF]

Plants (Basel), 2023
Yamanaka N, Aoyagi LN, Hossain MM, Aoyagi MBF, Muraki Y.   +4 more
europepmc   +1 more source

Germinação de uredinosporos de Phakopsora pachyrhizi e Puccinia kuehnii sob diferentes adjuvantes

Arquivos do Instituto Biológico, 2016
RESUMO No Brasil, Phakopsora pachyrhizi e Puccinia kuehnii são importantes patógenos das culturas da soja e cana-de-açúcar, respectivamente. Avaliou-se a germinação in vitro de uredinosporos de P. pachyrhizi eP.
Jackeline Matos do Nascimento, Walber Luiz Gavassoni, Lilian Maria Arruda Bacchi, Evandro Puhl de Melo   +3 more
doaj   +1 more source

Genetic control of partial resistance to Asian soybean rust

, 2014
The genetic control of rust resistance was studied using the Caiapônia x IAC-100 and Luziânia x Potenza crosses. The F2 and F3 generations were evaluated. Rust severity was quantified through visual assessment of the middle third of three leaflets per plant and performed by three different evaluators; the average score was calculated foreach individual
Martins, Juliana Araújo Santos, Juliatti, Fernando Cézar   +1 more
openaire   +2 more sources

Spatio-Temporal Modeling and Simulation of Asian Soybean Rust Based on Fuzzy System. [PDF]

Sensors (Basel), 2022
Zagui NLS, Krindges A, Lotufo ADP, Minussi CR.   +3 more
europepmc   +1 more source

Transcriptome Profiling of Resistance Gene Analogs in Soybean's Cross‐Tolerance to Water Limitation and Rust Stress

Food and Energy Security
Asian soybean rust (ASR), caused by Phakopsora pachyrhizi, is the most destructive foliar disease of soybean, with yield losses up to 90%. With climate change intensifying drought and expanding disease incidence, it is critical to understand how combined
Gustavo Husein, Thiago Maia, Fernanda R. Castro‐Moretti, Jessica D. K. Nunes, Lilian Amorim, Paulo Mazzafera, Harm Nijveen, Claudia B. Monteiro‐Vitorello   +7 more
doaj   +1 more source

New Approaches to Manage Asian Soybean Rust (Phakopsora pachyrhizi) Using Trichoderma spp. or Their Antifungal Secondary Metabolites. [PDF]

Metabolites, 2022
El-Hasan A, Walker F, Klaiber I, Schöne J, Pfannstiel J, Voegele RT.   +5 more
europepmc   +1 more source

Classifying early-stage soybean fungal diseases on hyperspectral images using convolutional neural networks

Smart Agricultural Technology
Using convolutional neural networks (CNNs) to detect plant diseases has proven to reach high accuracy in the classification of infected and non-infected plant images.
Chieh Fu Hsiao, Georg Feyrer, Anthony Stein   +2 more
doaj   +1 more source