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)

Article

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AEGILOPS SPELTOIDES PUCCINIA GRAMINIS TRITICUM TURGIDUM 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)

Article

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)

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.

Article

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

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

Naeela Qureshi Ravi Singh sridhar bhavani (2023)

Article

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

Sen4Rust: sentinel satellites for wheat rust disease forecasting

Gerald Blasch (2023)

Conference object

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MONITORING SATELLITE OBSERVATION RUSTS FORECASTING

Nitrogen fertilizer application alters the root endophyte bacterial microbiome in maize plants, but not in the stem or rhizosphere soil

Alejandra Miranda Carrazco Yendi Navarro-Noya Bram Govaerts Nele Verhulst Luc Dendooven (2022)

Plant-associated microorganisms that affect plant development, their composition, and their functionality are determined by the host, soil conditions, and agricultural practices. How agricultural practices affect the rhizosphere microbiome has been well studied, but less is known about how they might affect plant endophytes. In this study, the metagenomic DNA from the rhizosphere and endophyte communities of root and stem of maize plants was extracted and sequenced with the “diversity arrays technology sequencing,” while the bacterial community and functionality (organized by subsystems from general to specific functions) were investigated in crops cultivated with or without tillage and with or without N fertilizer application. Tillage had a small significant effect on the bacterial community in the rhizosphere, but N fertilizer had a highly significant effect on the roots, but not on the rhizosphere or stem. The relative abundance of many bacterial species was significantly different in the roots and stem of fertilized maize plants, but not in the unfertilized ones. The abundance of N cycle genes was affected by N fertilization application, most accentuated in the roots. How these changes in bacterial composition and N genes composition might affect plant development or crop yields has still to be unraveled.

Article

Bacterial Community Structure DArT-Seq Bacterial Community Functionality Genes Involved in N Cycling CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURAL PRACTICES MAIZE RHIZOSPHERE STEMS NITROGEN FERTILIZERS

Wheat rust early warning systems in Ethiopia: implementation of remote sensing technologies to combat crop disease

Gerald Blasch (2020)

Conference object

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS MONITORING DISEASE SURVEILLANCE EARLY WARNING SYSTEMS REMOTE SENSING

Global surveillance summary

David Hodson (2022)

Conference object

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT RUSTS SURVEILLANCE SYSTEMS

Cloning of the broadly effective wheat leaf rust resistance gene Lr42 transferred from Aegilops tauschii

Guifang Lin Hui Chen Bin Tian Sunish Sehgal Jingzhong Xie Philomin Juliana Narinder Singh Sandesh Kumar Shrestha Ravi Singh Harold Trick Jesse Poland Robert Bowden guihua bai bikram gill (2022)

Article

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ALLELES CLONES GENE EXPRESSION GRASSES MUTATION RUSTS WHEAT BASIDIOMYCOTA DISEASE RESISTANCE GENETICS MOLECULAR CLONING PLANT BREEDING PLANT DISEASES

Rust research to enhance resistance durability

sridhar bhavani (2022)

Conference object

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS DISEASE RESISTANCE SPRING WHEAT GENETIC DIVERSITY (AS RESOURCE) ADULT PLANT RESISTANCE