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Identification of Fusarium head blight sources of resistance and associated QTLs in historical and modern Canadian spring wheat.
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- Frontiers in Plant Science, 2023, p. 01, doi. 10.3389/fpls.2023.1190358
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- Article
Identification and characterization of stripe rust, leaf rust, leaf spot, and common bunt resistance in spring wheat.
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- Crop Science, 2023, v. 63, n. 4, p. 2310, doi. 10.1002/csc2.20953
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- Article
Identification of Disease Resistance Parents and Genome-Wide Association Mapping of Resistance in Spring Wheat.
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- Plants (2223-7747), 2022, v. 11, n. 21, p. 2905, doi. 10.3390/plants11212905
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Comparison of single-trait and multi-trait genomic predictions on agronomic and disease resistance traits in spring wheat.
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- Theoretical & Applied Genetics, 2022, v. 135, n. 8, p. 2747, doi. 10.1007/s00122-022-04147-3
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Identification of Spring Wheat with Superior Agronomic Performance under Contrasting Nitrogen Managements Using Linear Phenotypic Selection Indices.
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- Plants (2223-7747), 2022, v. 11, n. 14, p. N.PAG, doi. 10.3390/plants11141887
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Genomic Prediction Accuracy of Stripe Rust in Six Spring Wheat Populations by Modeling Genotype by Environment Interaction.
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- Plants (2223-7747), 2022, v. 11, n. 13, p. 1736, doi. 10.3390/plants11131736
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Genome‐wide association mapping of agronomic traits and grain characteristics in spring wheat under conventional and organic management systems.
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- Crop Science, 2022, v. 62, n. 3, p. 1069, doi. 10.1002/csc2.20739
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- Article
Genomic Predictions for Common Bunt, FHB, Stripe Rust, Leaf Rust, and Leaf Spotting Resistance in Spring Wheat.
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- Genes, 2022, v. 13, n. 4, p. 565, doi. 10.3390/genes13040565
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Genome-based prediction of agronomic traits in spring wheat under conventional and organic management systems.
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- Theoretical & Applied Genetics, 2022, v. 135, n. 2, p. 537, doi. 10.1007/s00122-021-03982-0
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Genetic diversity and selective sweeps in historical and modern Canadian spring wheat cultivars using the 90K SNP array.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-02666-5
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Physical mapping of QTL associated with agronomic and end-use quality traits in spring wheat under conventional and organic management systems.
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- Theoretical & Applied Genetics, 2021, v. 134, n. 11, p. 3699, doi. 10.1007/s00122-021-03923-x
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Phenotypic performance and associated QTL of 'Peace' × 'CDC Stanley' mapping population under conventional and organic management systems.
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- Crop Science, 2021, v. 61, n. 5, p. 3469, doi. 10.1002/csc2.20570
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Analysis of unigenes involved in lateral root development in Bupleurum chinense and B. scorzonerifolium.
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- Planta: An International Journal of Plant Biology, 2021, v. 253, n. 6, p. 1, doi. 10.1007/s00425-021-03644-x
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Physical Mapping of QTL in Four Spring Wheat Populations under Conventional and Organic Management Systems. I. Earliness.
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- Plants (2223-7747), 2021, v. 10, n. 5, p. 853, doi. 10.3390/plants10050853
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Comparisons of sampling methods for assessing intra- and inter-accession genetic diversity in three rice species using genotyping by sequencing.
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- Scientific Reports, 2020, p. N.PAG, doi. 10.1038/s41598-020-70842-0
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Comparison of Weighted and Unweighted Stage‐Wise Analysis for Genome‐Wide Association Studies and Genomic Selection.
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- Crop Science, 2019, v. 59, n. 6, p. 2572, doi. 10.2135/cropsci2019.04.0209
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Molecular diversity and selective sweeps in maize inbred lines adapted to African highlands.
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- Scientific Reports, 2019, v. 9, n. 1, p. N.PAG, doi. 10.1038/s41598-019-49861-z
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Comparisons of molecular diversity indices, selective sweeps and population structure of African rice with its wild progenitor and Asian rice.
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- Theoretical & Applied Genetics, 2019, v. 132, n. 4, p. 1145, doi. 10.1007/s00122-018-3268-2
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Mapping QTL Associated with Stripe Rust, Leaf Rust, and Leaf Spotting in a Canadian Spring Wheat Population.
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- Crop Science, 2019, v. 59, n. 2, p. 650, doi. 10.2135/cropsci2018.05.0348
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Development of species diagnostic SNP markers for quality control genotyping in four rice (Oryza L.) species.
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- Molecular Breeding, 2018, v. 38, n. 11, p. 1, doi. 10.1007/s11032-018-0885-z
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Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations.
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- Molecular Breeding, 2018, v. 38, n. 5, p. 1, doi. 10.1007/s11032-018-0829-7
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Assessment of Genetic Variation and Population Structure of Diverse Rice Genotypes Adapted to Lowland and Upland Ecologies in Africa Using SNPs.
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- Frontiers in Plant Science, 2018, p. 1, doi. 10.3389/fpls.2018.00446
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Mapping of QTLs associated with resistance to common bunt, tan spot, leaf rust, and stripe rust in a spring wheat population.
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- Molecular Breeding, 2017, v. 37, n. 12, p. 1, doi. 10.1007/s11032-017-0746-1
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Effect of Trait Heritability, Training Population Size and Marker Density on Genomic Prediction Accuracy Estimation in 22 bi-parental Tropical Maize Populations.
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- Frontiers in Plant Science, 2017, p. 1, doi. 10.3389/fpls.2017.01916
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Genome-wide association mapping of genomic regions associated with phenotypic traits in Canadian western spring wheat.
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- Molecular Breeding, 2017, v. 37, n. 11, p. 1, doi. 10.1007/s11032-017-0741-6
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Genetic variation and population structure of maize inbred lines adapted to the mid-altitude sub-humid maize agro-ecology of Ethiopia using single nucleotide polymorphic (SNP) markers.
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- BMC Genomics, 2017, v. 18, p. 1, doi. 10.1186/s12864-017-4173-9
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Genetic Diversity among Selected Elite CIMMYT Maize Hybrids in East and Southern Africa.
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- Crop Science, 2017, v. 57, n. 5, p. 2395, doi. 10.2135/cropsci2016.09.0754
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Population Structure and Genomewide Association Analysis of Resistance to Disease and Insensitivity to Ptr Toxins in Canadian Spring Wheat Using 90K SNP Array.
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- Crop Science, 2017, v. 57, n. 3, p. 1522, doi. 10.2135/cropsci2016.10.0859
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Allelic variation and effects of 16 candidate genes on disease resistance in western Canadian spring wheat cultivars.
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- Molecular Breeding, 2017, v. 37, n. 3, p. 1, doi. 10.1007/s11032-017-0627-7
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QTLs associated with agronomic traits in the Attila × CDC Go spring wheat population evaluated under conventional management.
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- PLoS ONE, 2017, v. 12, n. 2, p. 1, doi. 10.1371/journal.pone.0171528
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Mapping QTLs Controlling Agronomic Traits in the ‘Attila’ × ‘CDC Go’ Spring Wheat Population under Organic Management using 90K SNP Array.
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- Crop Science, 2017, v. 57, n. 1, p. 365, doi. 10.2135/cropsci2016.06.0459
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- Article
Genome-wide Association for Plant Height and Flowering Time across 15 Tropical Maize Populations under Managed Drought Stress and Well-Watered Conditions in Sub-Saharan Africa.
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- Crop Science, 2016, v. 56, n. 5, p. 2365, doi. 10.2135/cropsci2015.10.0632
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QTLs Associated with Agronomic Traits in the Cutler × AC Barrie Spring Wheat Mapping Population Using Single Nucleotide Polymorphic Markers.
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- PLoS ONE, 2016, v. 11, n. 8, p. 1, doi. 10.1371/journal.pone.0160623
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QTL Mapping in Three Rice Populations Uncovers Major Genomic Regions Associated with African Rice Gall Midge Resistance.
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- PLoS ONE, 2016, v. 11, n. 8, p. 1, doi. 10.1371/journal.pone.0160749
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Molecular characterization of CIMMYT maize inbred lines with genotyping-by-sequencing SNPs.
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- Theoretical & Applied Genetics, 2016, v. 129, n. 4, p. 753, doi. 10.1007/s00122-016-2664-8
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Performance and grain yield stability of maize populations developed using marker-assisted recurrent selection and pedigree selection procedures.
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- Euphytica, 2016, v. 208, n. 2, p. 285, doi. 10.1007/s10681-015-1590-1
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Improving Maize Grain Yield under Drought Stress and Non-stress Environments in Sub-Saharan Africa using Marker-Assisted Recurrent Selection.
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- Crop Science, 2016, v. 56, n. 1, p. 344, doi. 10.2135/cropsci2015.02.0135
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Comparison of Kompetitive Allele Specific PCR (KASP) and genotyping by sequencing (GBS) for quality control analysis in maize.
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- BMC Genomics, 2015, v. 16, p. 1, doi. 10.1186/s12864-015-2180-2
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A Genomic Selection Index Applied to Simulated and Real Data.
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- G3: Genes | Genomes | Genetics, 2015, v. 5, n. 10, p. 2155, doi. 10.1534/g3.115.019869
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Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm.
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- Theoretical & Applied Genetics, 2015, v. 128, n. 10, p. 1957, doi. 10.1007/s00122-015-2559-0
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Fine mapping of Msv1, a major QTL for resistance to Maize Streak Virus leads to development of production markers for breeding pipelines.
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- Theoretical & Applied Genetics, 2015, v. 128, n. 9, p. 1839, doi. 10.1007/s00122-015-2551-8
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Relationships between heterosis, genetic distances and specific combining ability among CIMMYT and Zimbabwe developed maize inbred lines under stress and optimal conditions.
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- Euphytica, 2015, v. 204, n. 3, p. 635, doi. 10.1007/s10681-015-1353-z
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Quantitative Trait Loci Mapping and Molecular Breeding for Developing Stress Resilient Maize for Sub-Saharan Africa.
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- Crop Science, 2015, v. 55, n. 4, p. 1449, doi. 10.2135/cropsci2014.09.0646
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Genetic purity and patterns of relationships among tropical highland adapted quality protein and normal maize inbred lines using microsatellite markers.
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- Euphytica, 2015, v. 204, n. 1, p. 49, doi. 10.1007/s10681-014-1332-9
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High-resolution genetic mapping of maize pan-genome sequence anchors.
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- Nature Communications, 2015, v. 6, n. 4, p. 6914, doi. 10.1038/ncomms7914
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Parental genome contribution in maize DH lines derived from six backcross populations using genotyping by sequencing.
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- Euphytica, 2015, v. 202, n. 1, p. 129, doi. 10.1007/s10681-014-1238-6
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Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress.
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- Crop Science, 2015, v. 55, n. 1, p. 154, doi. 10.2135/cropsci2014.07.0460
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Genetic relationships and structure among open-pollinated maize varieties adapted to eastern and southern Africa using microsatellite markers.
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- Molecular Breeding, 2014, v. 34, n. 3, p. 1423, doi. 10.1007/s11032-014-0126-z
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Optimal Design of Preliminary Yield Trials with Genome-Wide Markers.
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- Crop Science, 2014, v. 54, n. 1, p. 48, doi. 10.2135/cropsci2013.03.0154
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Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement.
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- Molecular Breeding, 2014, v. 33, n. 1, p. 1, doi. 10.1007/s11032-013-9917-x
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- Article