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 …

The evolutionary and molecular features of the broad‐host‐range plant pathogen Sclerotinia sclerotiorum

MC Derbyshire, TE Newman, Y Khentry… - Molecular Plant …, 2022 - Wiley Online Library
Sclerotinia sclerotiorum is a pathogenic fungus that infects hundreds of plant species,
including many of the world's most important crops. Key features of S. sclerotiorum include …

Plant disease identification using explainable 3D deep learning on hyperspectral images

K Nagasubramanian, S Jones, AK Singh, S Sarkar… - Plant methods, 2019 - Springer
Background Hyperspectral imaging is emerging as a promising approach for plant disease
identification. The large and possibly redundant information contained in hyperspectral data …

Molecular breeding to overcome biotic stresses in soybean: update

N Tripathi, MK Tripathi, S Tiwari, DK Payasi - Plants, 2022 - mdpi.com
Soybean (Glycine max (L.) Merr.) is an important leguminous crop and biotic stresses are a
global concern for soybean growers. In recent decades, significant development has been …

Sequencing the USDA core soybean collection reveals gene loss during domestication and breeding

PE Bayer, B Valliyodan, H Hu, JI Marsh… - The plant …, 2022 - Wiley Online Library
The gene content of plants varies between individuals of the same species due to gene
presence/absence variation, and selection can alter the frequency of specific genes in a …

Resistance against Sclerotinia sclerotiorum in soybean involves a reprogramming of the phenylpropanoid pathway and up‐regulation of antifungal activity targeting …

A Ranjan, NM Westrick, S Jain… - Plant Biotechnology …, 2019 - Wiley Online Library
Sclerotinia sclerotiorum, a predominately necrotrophic fungal pathogen with a broad host
range, causes a significant yield‐limiting disease of soybean called Sclerotinia stem rot …

Genome-wide association studies of soybean yield-related hyperspectral reflectance bands using machine learning-mediated data integration methods

M Yoosefzadeh-Najafabadi, S Torabi… - Frontiers in plant …, 2021 - frontiersin.org
In conjunction with big data analysis methods, plant omics technologies have provided
scientists with cost-effective and promising tools for discovering genetic architectures of …

[HTML][HTML] Soybean root system architecture trait study through genotypic, phenotypic, and shape-based clusters

KG Falk, TZ Jubery, JA O'Rourke, A Singh… - Plant …, 2020 - spj.science.org
We report a root system architecture (RSA) traits examination of a larger scale soybean
accession set to study trait genetic diversity. Suffering from the limitation of scale, scope, and …

[HTML][HTML] Machine-learning-based genome-wide association studies for uncovering QTL underlying soybean yield and its components

M Yoosefzadeh-Najafabadi, M Eskandari… - International Journal of …, 2022 - mdpi.com
A genome-wide association study (GWAS) is currently one of the most recommended
approaches for discovering marker-trait associations (MTAs) for complex traits in plant …

Genome-wide associations and epistatic interactions for internode number, plant height, seed weight and seed yield in soybean

T Assefa, PI Otyama, AV Brown, SR Kalberer… - BMC genomics, 2019 - Springer
Background Breeding programs benefit from information about marker-trait associations for
many traits, whether the goal is to place those traits under active selection or to maintain …