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Autor: Matthew Paul Reynolds
Sivakumar Sukumaran Matthew Paul Reynolds Carolina Sansaloni (2017)
GWAS identifies common loci under stressed and non-stressed environments.
Dataset
Genetic data and the linkage map of Seri/Babax population
Caiyun Liu Sivakumar Sukumaran Matthew Paul Reynolds (2019)
These datasets include an updated linkage map for the Seri/Babax RIL population and the raw genotype data we used to construct the map. (1) We updated the genetic map of Seri/Babax population with 1748 non-redundant markers (1165 90K SNPs, 207 DArTseq SNPs, 183 AFLP, 111 DArT array, and 82 SSR). The updated map was 5576.5 cM in length with 31 linkage groups covering the 21 wheat chromosomes. The updated map has a better genome coverage, especially in D genome, and higher density than in earlier maps; and also shows a good collinearity with the IWGSC RefSeq v1.0 genome. The new linkage map can provide a useful genomic resource for further genetic analyses of important traits in the Seri/Babax population. (2) We also uploaded the raw genotyping data of 6470 markers (5386 90K SNPs, 609 DArTseq SNPs, 211 AFLP, 120 SSR, 144 DArT) we used to construct the map. Partners can download the raw data and reconstruct the map by adding new genotyping data, or through different methods and software for better improvement of the Seri/Babax genetic map.
Dataset
11th Stress Adapted Trait Yield Nurseries
Matthew Paul Reynolds Carolina Saint Pierre (2022)
Within the framework of SATYN, two types of nurseries are produced: SATYN series with odd numbers are lines for drought-stressed areas, and SATYN series with even numbers are lines for heat stress conditions. These nurseries have been phenotyped in the major wheat-growing mega environments through the International Wheat Improvement Network (IWIN) and the Cereal System Initiative for South Asia (CSISA) network, which included a total of 136 environments (site-year combinations) in major spring wheat-growing countries such as Bangladesh, China, Egypt, India, Iran, Mexico, Nepal, and Pakistan.
Dataset
Sivakumar Sukumaran Jose Crossa DIEGO JARQUIN Matthew Paul Reynolds (2016)
This study contains spring wheat yield data (1st, 2nd, and 3rd WYCYTs and 1st, 2nd, 3rd and 4th SATYNs) from 136 international environments that were used to evaluate the predictive ability of different models in diverse environments by modeling G×E using the pedigree-derived additive relationship matrix (A matrix).
Dataset
Satellite imagery for high-throughput phenotyping in breeding plots
Francisco Pinto Mainassara Zaman-Allah Matthew Paul Reynolds Urs Schulthess (2023)
Artículo
Optimized Soil Adjusted Vegetation Index CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HIGH-THROUGHPUT PHENOTYPING SATELLITES WHEAT MAIZE BREEDING NORMALIZED DIFFERENCE VEGETATION INDEX
Sivakumar Sukumaran Jose Crossa DIEGO JARQUIN Matthew Paul Reynolds (2016)
This study contains spring wheat yield data (1st, 2nd, and 3rd WYCYTs and 1st, 2nd, 3rd and 4th SATYNs) from 136 international environments that were used to evaluate the predictive ability of different models in diverse environments by modeling G×E using the pedigree-derived additive relationship matrix (A matrix).
Dataset
Associations between endogenous spike cytokinins and grain-number traits in spring wheat genotypes
Gemma Molero Carolina Rivera-Amado Matthew Paul Reynolds John Foulkes (2024)
Artículo
Spike Cytokinins Grain Number Fruiting Efficiency Wheat Breeding CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SPIKES CYTOKININS GRAIN FRUITING HARVEST INDEX WHEAT PLANT BREEDING
Fatima Camarillo-Castillo Suchismita Mondal Matthew Paul Reynolds (2020)
Current limitations on phenotyping EW restrict the integration of this secondary trait into wheat breeding pipelines. In this study we evaluated the application of high-resolution spectral information as a proxy estimate of the trait and developed an efficient indirect method for the selection of genotypes with high EW density.
Dataset
A 'wiring diagram' for sink strength traits impacting wheat yield potential
Gustavo Slafer John Foulkes Matthew Paul Reynolds Erik Murchie A Elizabete Carmo-Silva Simon Griffiths (2023)
Artículo
Grain Number Grain Weight Yield Physiology CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING GRAIN HARVEST INDEX SOURCE SINK RELATIONS YIELD COMPONENTS WHEAT