Broad-spectrum resistance to fungal foliar diseases in wheat: recent efforts and achievements

AMI Mourad, AAM Ahmed, PS Baenziger… - Frontiers in Plant …, 2024 - frontiersin.org
Wheat (Triticum spp.) is one of the most important cereal crops in the world. Several
diseases affect wheat production and can cause 20-80% yield loss annually. Out of these …

Genome-wide association study and genomic prediction of resistance to stripe rust in current Central and Northern European winter wheat germplasm

F Shahinnia, M Geyer, F Schürmann… - Theoretical and Applied …, 2022 - Springer
Key message We found two loci on chromosomes 2BS and 6AL that significantly contribute
to stripe rust resistance in current European winter wheat germplasm. Abstract Stripe or …

Comparing the potential of marker-assisted selection and genomic prediction for improving rust resistance in hybrid wheat

U Beukert, P Thorwarth, Y Zhao, CFH Longin… - Frontiers in Plant …, 2020 - frontiersin.org
Improving leaf rust and stripe rust resistance is a central goal in wheat breeding. The
objectives of this study were to (1) elucidate the genetic basis of leaf rust and stripe rust …

Genomic regions associated with stripe rust resistance against the Egyptian race revealed by genome-wide association study

MA Abou-Zeid, AMI Mourad - BMC Plant Biology, 2021 - Springer
Background Wheat stripe rust (caused by Puccinia striiformis f. sp. Tritici), is a major disease
that causes huge yield damage. New pathogen races appeared in the last few years and …

Genomic predictions for common bunt, FHB, stripe rust, leaf rust, and leaf spotting resistance in spring wheat

K Semagn, M Iqbal, D Jarquin, J Crossa, R Howard… - Genes, 2022 - mdpi.com
Some studies have investigated the potential of genomic selection (GS) on stripe rust, leaf
rust, Fusarium head blight (FHB), and leaf spot in wheat, but none of them have assessed …

[HTML][HTML] MnasNet-SimAM: An Improved Deep Learning Model for the Identification of Common Wheat Diseases in Complex Real-Field Environments

X Wen, M Maimaiti, Q Liu, F Yu, H Gao, G Li, J Chen - Plants, 2024 - mdpi.com
Deep learning approaches have been widely applied for agricultural disease detection.
However, considerable challenges still exist, such as low recognition accuracy in complex …

Toward combining qualitative race-specific and quantitative race-nonspecific disease resistance by genomic selection

S Michel, F Löschenberger, C Ametz… - Theoretical and Applied …, 2023 - Springer
Key message A novel genomic selection strategy offers the unique opportunity to develop
qualitative race-specific resistant varieties that possess high levels of the more durable …

A major yellow rust resistance QTL on chromosome 6A shows increased frequency in recent Norwegian spring wheat cultivars and breeding lines

M Lin, JA Dieseth, M Alsheikh, E Yang… - Theoretical and Applied …, 2023 - Springer
Key message A major yellow rust resistance QTL, QYr. nmbu. 6A, contributed consistent
adult plant resistance in field trials across Europe, China, Kenya and Mexico. Abstract …

Identification and molecular mapping of YrBm for adult plan resistance to stripe rust in Chinese wheat landrace Baimangmai

C Hu, F Wang, J Feng, C Sun, J Guo, X Lang… - Theoretical and Applied …, 2022 - Springer
Key message A new adult plan resistance gene YrBm for potentially durable resistance to
stripe rust was mapped on wheat chromosome arm 4BL in landrace Baimangmai. SSR …

Dominance is common in mammals and is associated with trans-acting gene expression and alternative splicing

L Cui, B Yang, S Xiao, J Gao, A Baud, D Graham… - Genome Biology, 2023 - Springer
Background Dominance and other non-additive genetic effects arise from the interaction
between alleles, and historically these phenomena play a major role in quantitative …