A5079140779- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Genetic Mapping and Diversity in Plants and Animals
- Plant Disease Resistance and Genetics
- Mycotoxins in Agriculture and Food
- Genetic and phenotypic traits in livestock
- Plant Pathogens and Fungal Diseases
- Crop Yield and Soil Fertility
- Remote Sensing in Agriculture
- Powdery Mildew Fungal Diseases
- Yeasts and Rust Fungi Studies
- Smart Agriculture and AI
- Plant Pathogens and Resistance
- Horticultural and Viticultural Research
- Bioenergy crop production and management
- Plant responses to water stress
- Agriculture, Plant Science, Crop Management
- Leaf Properties and Growth Measurement
- Plant Stress Responses and Tolerance
- Rice Cultivation and Yield Improvement
- Plant pathogens and resistance mechanisms
- Genetic and Environmental Crop Studies
- Agricultural Productivity and Crop Improvement
- Seed Germination and Physiology
- CRISPR and Genetic Engineering
Norwegian University of Life Sciences
2016-2025
Nanjing Agricultural University
2018
Huazhong Agricultural University
2018
Centro Internacional de Mejoramiento de Maíz Y Trigo
2005-2006
The Research Council of Norway
2000-2002
Summary High‐density single nucleotide polymorphism ( SNP ) genotyping arrays are a powerful tool for studying genomic patterns of diversity, inferring ancestral relationships between individuals in populations and marker–trait associations mapping experiments. We developed array including about 90 000 gene‐associated s used it to characterize genetic variation allohexaploid allotetraploid wheat populations. The includes significant fraction common genome‐wide distributed that represented...
Linkage disequilibrium can be used for identifying associations between traits of interest and genetic markers. This study mapped diversity array technology (DArT) markers to find with resistance stem rust, leaf yellow powdery mildew, plus grain yield in five historical wheat international multienvironment trials from the International Maize Wheat Improvement Center (CIMMYT). Two linear mixed models were assess marker-trait incorporating information on population structure covariance...
Traditional plant breeding based on selection for grain yield is time-consuming and costly; therefore, new innovative methods are in high demand to reduce costs accelerate genetic gains. Remote sensing-based platforms such as unmanned aerial vehicles (UAV) show promise predict different traits including yield. Attention currently being devoted machine learning order extract the most meaningful information from massive amounts of data generated by UAV images. These have shown a promising...
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired various acquisition platforms 7 countries/institutions. With an associated competition hosted Kaggle, GWHD_2020 successfully attracted attention both the computer vision agricultural science communities. From this first experience, a few avenues for improvements have been identified regarding data size, head diversity, label reliability. To address...
Grain hardness (“hard” or “soft” kernel texture) is the single most important trait in determining utilization and marketing of wheat ( Triticum aestivum L.). Puroindoline a b proteins represent molecular basis for this trait. This study surveyed prevalence puroindoline mutations (alleles) among North American spring winter varieties with emphasis on those that are historically important. Each variety was assessed texture using Single Kernel Characterization System; Hardness alleles were...
Powdery mildew, caused by Blumeria graminis f. sp. tritici, is a widespread wheat disease in China. Identification of race-specific genes and adult plant resistance (APR) major importance breeding for an efficient genetic control strategy. The objectives this study were to (i) identify that confer seedling powdery mildew Chinese bread cultivars introductions used programs China (ii) evaluate their APR the field. results showed 98 192 tested lines appear have one or more mildew; Pm8 Pm4b are...
Fusarium head blight (FHB) resistant line Soru#1 was hybridized with the German cultivar Naxos to generate 131 recombinant inbred lines for QTL mapping. The population phenotyped FHB and associated traits in spray inoculated experiments El Batán (Mexico), spawn Ås (Norway) point Nanjing (China), two field trials at each location. Genotyping performed Illumina iSelect 90K SNP wheat chip, along a few SSR STS markers. A major after inoculation detected on 2DLc, explaining 15-22% of phenotypic...
It has been well documented that dwarfing genes Rht-B1b and Rht-D1b are associated with Type I susceptibility to Fusarium head blight (FHB) in wheat; but the underlying mechanism not delineated. Anther extrusion (AE) also related resistance for initial FHB infection, where high AE renders resistance. In this study, two doubled haploid populations were used investigate impact of on AE, elucidate role Rht-mediated susceptibility. Both derived by crossing susceptible cultivar 'Ocoroni F86'...
Quantitative trait prediction using multispectral UAV imagery is gaining popularity in field trials. However, the reliability of models influenced by type camera and its consistency under different light conditions. In this study, we investigate comparability two popular cameras, Phantom 4 Multispectral (P4M) Micasense RedEdge-M (RedEdge-M), for wheat yield biomass varying sun angles phenological changes. Our results indicate that P4M produces more stable values wavelength bands derived...
Abstract Unmanned aerial vehicles (UAVs) equipped with high-resolution imaging sensors have shown great potential for plant phenotyping in agricultural research. This study aimed to explore the of UAV-derived red–green–blue (RGB) and multispectral data estimating classical measures such as height predicting yield chlorophyll content (indicated by SPAD values) a field trial 38 faba bean ( Vicia L.) cultivars grown at four replicates south-eastern Norway. To predict values, Support Vector...
Recent advances in robot and sensor technology makes it possible to survey a large number of plants non destructive cost efficient way. The present research approach includes measurements with VIS/NIR multispectral camera mounted on UAV traditional manual ground measurements. analysis presented here, aims (1) evaluate the use imaging from drone as phenotyping tools, (2) compare images see how they can complement each other for an optimized (3) study reflectance response various plant species...
Evidence that genomic selection (GS) is a technology revolutionizing plant breeding continues to grow. However, it very well documented its success strongly depends on statistical models, which are used by GS perform predictions of candidate genotypes were not phenotyped. Because there no universally better model for prediction and models each type response variable needed (continuous, binary, ordinal, count, etc.), an active area research aims develop the univariate multivariate traits in...
Abstract Key message A locus on wheat chromosome 2A was found to control field resistance both leaf and glume blotch caused by the necrotrophic fungal pathogen Parastagonospora nodorum . The is causal agent of Septoria blotch, which are common ( Triticum aestivum L.) diseases in humid temperate areas. Susceptibility can partly be explained sensitivity corresponding P. effectors (NEs). also quantitative; however, underlying genetics have not been studied detail. Here, we genetically map...
We found two loci on chromosomes 2BS and 6AL that significantly contribute to stripe rust resistance in current European winter wheat germplasm. Stripe or yellow rust, caused by the fungus Puccinia striiformis Westend f. sp. tritici, is one of most destructive diseases. Sustainable management can be achieved through deployment resistant cultivars. To detect effective for use breeding programs, an association mapping panel 230 cultivars lines from Northern Central Europe was employed....