Genome-wide association study of common resistance to rust species in tetraploid wheat

Daniela Marone Anna Maria Mastrangelo Karim Ammar Filippo Maria Bassi Meinan Wang Xianming Chen Diego Rubiales Oadi Matny Brian Steffenson (2024, [Artículo])

Wheat Rusts Tetraploid Wheat Multi-Location Trials CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA QUANTITATIVE TRAIT LOCI TETRAPLOIDY WHEAT RUSTS GENOME-WIDE ASSOCIATION STUDIES

Chapter 8. Wheat rusts: Current status, prospects of genetic control and integrated approaches to enhance resistance durability

sridhar bhavani Ravi Singh David Hodson JULIO HUERTA_ESPINO Mandeep Randhawa (2022, [Capítulo de libro])

Rust Resistance Race Specific Genes Adult Plant Resistance Genes Breeding Technologies CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS DISEASE RESISTANCE ADULT PLANT RESISTANCE BREEDING TECHNOLOGY

Gene editing to accelerate crop breeding

Kanwarpal Dhugga (2022, [Artículo])

Accelerated Breeding Grain Biofortification Maize Lethal Necrosis Rust Resistance Site-Directed Nuclease Scenarios CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING BACKCROSSING DISEASE RESISTANCE GENE EDITING GRAIN BIOFORTIFICATION RUSTS

Use of remote sensing for linkage mapping and genomic prediction for common rust resistance in maize

Alexander Loladze Francelino Rodrigues Cesar Petroli Felix San Vicente Garcia Bruno Gerard Osval Antonio Montesinos-Lopez Jose Crossa Johannes Martini (2024, [Artículo])

Common Rust Rp1 Locus CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS REMOTE SENSING VEGETATION INDEX MAIZE CHROMOSOME MAPPING

Identification and characterization of resistance loci to wheat leaf rust and stripe rust in Afghan landrace “KU3067”

CAIXIA LAN Ravi Singh JULIO HUERTA_ESPINO Zaifeng Li Evans Lagudah sridhar bhavani (2022, [Artículo])

Genetic Analysis Molecular Mapping Wheat Rusts APR Genes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ADULT PLANT RESISTANCE LANDRACES WHEAT RUSTS

Identification and characterisation of stripe rust resistance genes Yr66 and Yr67 in wheat cultivar VL gehun 892

Harbans Bariana Lakshmi Kant Naeela Qureshi Urmil Bansal (2022, [Artículo])

Kompetitive Allele Specific PCR Stripe Rust Yr Genes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETIC MARKERS MARKER-ASSISTED SELECTION RUSTS WHEAT GENES

Introgresión del gen de resistencia a la roya del tallo Sr 47 en la variedad de trigo cirno C2008

JULIO HUERTA_ESPINO Susanne Dreisigacker (2023, [Artículo])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AEGILOPS SPELTOIDES PUCCINIA GRAMINIS TRITICUM TURGIDUM STEM RUST

Genomic regions associated with resistance to three rusts in CIMMYT wheat line “Mokue#1”

Naeela Qureshi Ravi Singh sridhar bhavani (2023, [Artículo])

Genetic Analysis Leaf Rust CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETICS RUSTS QUANTITATIVE TRAIT LOCI MAPPING DISEASE RESISTANCE STRIPE RUST STEM RUST

Relocation of Sr48 to chromosome 2D using an alternative mapping population and development of a closely linked marker using diverse molecular technologies

Naeela Qureshi Mandeep Randhawa Peng Zhang Urmil Bansal Harbans Bariana (2023, [Artículo])

Fluorescent in Situ Hybridization Genomic in Situ Hybridization Ug99 CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MARKER-ASSISTED SELECTION STEM RUST TRANSLOCATION WHEAT

The potential of UAV and very high-resolution satellite imagery for yellow and stem rust detection and phenotyping in Ethiopia

Gerald Blasch David Hodson Francelino Rodrigues (2023, [Artículo])

Very high (spatial and temporal) resolution satellite (VHRS) and high-resolution unmanned aerial vehicle (UAV) imagery provides the opportunity to develop new crop disease detection methods at early growth stages with utility for early warning systems. The capability of multispectral UAV, SkySat and Pleiades imagery as a high throughput phenotyping (HTP) and rapid disease detection tool for wheat rusts is assessed. In a randomized trial with and without fungicide control, six bread wheat varieties with differing rust resistance were monitored using UAV and VHRS. In total, 18 spectral features served as predictors for stem and yellow rust disease progression and associated yield loss. Several spectral features demonstrated strong predictive power for the detection of combined wheat rust diseases and the estimation of varieties’ response to disease stress and grain yield. Visible spectral (VIS) bands (Green, Red) were more useful at booting, shifting to VIS–NIR (near-infrared) vegetation indices (e.g., NDVI, RVI) at heading. The top-performing spectral features for disease progression and grain yield were the Red band and UAV-derived RVI and NDVI. Our findings provide valuable insight into the upscaling capability of multispectral sensors for disease detection, demonstrating the possibility of upscaling disease detection from plot to regional scales at early growth stages.

Very High Resolution Imagery Disease Detection Methods Early Growth Stages CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA UNMANNED AERIAL VEHICLES STEM RUST PHENOTYPING HIGH-THROUGHPUT PHENOTYPING WHEAT