Breeding for disease resistance in soybean: a global perspective

F Lin, SS Chhapekar, CC Vieira, MP Da Silva… - Theoretical and Applied …, 2022 - Springer
Key message This review provides a comprehensive atlas of QTLs, genes, and alleles
conferring resistance to 28 important diseases in all major soybean production regions in …

[HTML][HTML] What are the 100 most cited fungal genera?

CS Bhunjun, YJ Chen, C Phukhamsakda… - Studies in …, 2024 - ingentaconnect.com
The global diversity of fungi has been estimated between 2 to 11 million species, of which
only about 155 000 have been named. Most fungi are invisible to the unaided eye, but they …

Frogeye leaf spot caused by Cercospora so**a: A review

JP Barro, DL Neves, EM Del Ponte, CA Bradley - Tropical Plant Pathology, 2023 - Springer
Frogeye leaf spot (FLS), caused by Cercospora so**a, is an economically important disease
of soybean in many parts of the world where soybean is grown, including the United States …

Soybean disease identification using original field images and transfer learning with convolutional neural networks

N Bevers, EJ Sikora, NB Hardy - Computers and Electronics in Agriculture, 2022 - Elsevier
Meeting the growing demand for soybeans will require increased production. One approach
would be to reduce yield loss from plant diseases. In the US, soybean diseases account for …

New York State Climate Impacts Assessment Chapter 03: Agriculture

D Aller, AM Chatrchyan, A Calixto, J Cummings… - 2024 - Wiley Online Library
Agriculture is a vital industry in New York State, which ranks among the top‐producing states
for dairy, fruits, and several other commodities. As agriculture depends on the weather and …

[PDF][PDF] Southern United States soybean disease loss estimates for 2020

TW Allen, K Bissonnette, CA Bradley… - Proceedings of the …, 2021 - mssoy.org
The Southern Soybean Disease Workers (SSDW) have published soybean disease loss
estimates for the southern United States since 1974. Summaries of the results from between …

Deep learning-based phenoty** for genome wide association studies of sudden death syndrome in soybean

A Rairdin, F Fotouhi, J Zhang, DS Mueller… - Frontiers in plant …, 2022 - frontiersin.org
Using a reliable and accurate method to phenotype disease incidence and severity is
essential to unravel the complex genetic architecture of disease resistance in plants, and to …

P-TarPmiR accurately predicts plant-specific miRNA targets

V Ajila, L Colley, DT Ste-Croix, N Nissan, A Golshani… - Scientific Reports, 2023 - nature.com
Abstract microRNAs (miRNAs) are small non-coding ribonucleic acids that post-
transcriptionally regulate gene expression through the targeting of messenger RNA …

Fully automated proximal hyperspectral imaging system for high-resolution and high-quality in vivo soybean phenoty**

Z Chen, J Wang, J ** - Precision Agriculture, 2023 - Springer
Hyperspectral imaging (HSI) is a prevalent method in crop phenoty**. Nevertheless,
current HSI remote sensing techniques are compromised by changing ambient lighting …

Effects of Soil Type, Temperature, and Moisture on Development of Fusarium Root Rot of Soybean by Fusarium solani (FSSC 11) and Fusarium tricinctum

H Yan, B Nelson Jr - Plant Disease, 2022 - Am Phytopath Society
Fusarium solani FSSC 11 and F. tricinctum are important root rot pathogens of soybean in
North Dakota. The roles of soil type, temperature, and moisture in disease development by …