A5059664632- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Genetic Mapping and Diversity in Plants and Animals
- Plant Disease Resistance and Genetics
- Crop Yield and Soil Fertility
- Yeasts and Rust Fungi Studies
- Genetic and phenotypic traits in livestock
- Plant Micronutrient Interactions and Effects
- Bioenergy crop production and management
- Agricultural Science and Fertilization
- Mycotoxins in Agriculture and Food
- Plant Pathogens and Resistance
- Insect Pest Control Strategies
- Agricultural pest management studies
- Plant Pathogens and Fungal Diseases
- Berry genetics and cultivation research
- Phytase and its Applications
- Insect-Plant Interactions and Control
- Rice Cultivation and Yield Improvement
- Climate change impacts on agriculture
- Agricultural Practices and Plant Genetics
- Remote Sensing in Agriculture
- Agriculture, Plant Science, Crop Management
- Horticultural and Viticultural Research
- Plant Virus Research Studies
Centro Internacional de Mejoramiento de Maíz Y Trigo
2016-2025
Huazhong Agricultural University
2018-2024
International Maize and Wheat Improvement Center
2007-2024
Govind Ballabh Pant University of Agriculture and Technology
2018-2024
National Institute of Mental Health and Neurosciences
2024
Banaras Hindu University
1981-2023
The University of Queensland
2023
Gwangju Institute of Science and Technology
2023
Indian Institute of Science Education and Research, Bhopal
2023
University of Tsukuba
2023
Agricultural crops benefit from resistance to pathogens that endures over years and generations of both pest crop. Durable disease resistance, which may be partial or complete, can controlled by several genes. Some the most devastating fungal in wheat are leaf rust, stripe powdery mildew. The gene Lr34 has supported these for more than 50 years. is now shared cultivars around world. Here, we show LR34 protein resembles adenosine triphosphate-binding cassette transporters pleiotropic drug...
Abstract Advances in genomics have expedited the improvement of several agriculturally important crops but similar efforts wheat ( Triticum spp.) been more challenging. This is largely owing to size and complexity genome 1 , lack genome-assembly data for multiple lines 2,3 . Here we generated ten chromosome pseudomolecule five scaffold assemblies hexaploid explore genomic diversity among from global breeding programs. Comparative analysis revealed extensive structural rearrangements,...
The availability of dense molecular markers has made possible the use genomic selection (GS) for plant breeding. However, evaluation models GS in real populations is very limited. This article evaluates performance parametric and semiparametric using wheat (Triticum aestivum L.) maize (Zea mays) data which different traits were measured several environmental conditions. findings, based on extensive cross-validations, indicate that including marker information had higher predictive ability...
In much of the world, resistance to stem rust in wheat, caused by Puccinia graminis f. sp. tritici, is based at least part on gene Sr31. During February 1999, high levels infection were observed entries wheat (Triticum aestivum) grown a nursery Kalengyere Research Station Uganda. Because several rusted known carry 1BL-1RS chromosome translocation containing Sr31, Lr26, and Yr9 genes for resistance, virulence Sr31 was suspected. Urediniospores, collected bulk from stems seven suspended light...
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...
The stem rust resistance gene Sr24 is effective against most races of Puccinia graminis f. sp. tritici, including race TTKS (syn. Ug99), and used widely in commercial wheat cultivars worldwide. In 2006, susceptible infection responses were observed on lines carrying a field screening nursery at Njoro, Kenya. We derived 28 single-pustule isolates from samples collected the 2006 Njoro nursery. evaluated for virulence 16 North American differential lines; Sr24, Sr31, Sr38, SrMcN; cultivar with...
Abstract Genomic selection can be applied prior to phenotyping, enabling shorter breeding cycles and greater rates of genetic gain relative phenotypic selection. Traits measured using high-throughput phenotyping based on proximal or remote sensing could useful for improving pedigree genomic prediction model accuracies traits not yet possible phenotype directly. We tested if aerial measurements canopy temperature, green red normalized difference vegetation index as secondary in best linear...
Stem rust, caused by Puccinia graminis f. sp. tritici, historically was one of the most destructive diseases wheat and barley. The disease has been under effective control worldwide through widespread use host resistance. A number stem rust resistance genes in have characterized for their reactions to specific races P. tritici. Adult plant responses race TTKS (also known as Ug99) monogenic lines Sr genes, a direct measurement effectiveness given gene, not investigated any extent. This report...
Genomic selection (GS) models use genome-wide genetic information to predict values of candidates selection. Originally, these were developed without considering genotype × environment interaction(G×E). Several authors have proposed extensions the single-environment GS model that accommodate G×E using either covariance functions or environmental covariates. In this study, we a marker interaction (M×E) model; approach is conceptually simple and can be implemented with existing software. We...
A severe stem rust epidemic occurred in southern Ethiopia during November 2013 to January 2014, with yield losses close 100% on the most widely grown wheat cultivar, 'Digalu'. Sixty-four samples collected from regions were analyzed. meteorological model for airborne spore dispersal was used identify which likely have been infected postulated sites of initial infection. Based analyses 106 single-pustule isolates derived these samples, four races Puccinia graminis f. sp. tritici identified:...