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Genome-Wide Detection of Quantitative Trait Loci and Prediction of Candidate Genes for Seed Sugar Composition in Early Mature Soybean.
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- International Journal of Molecular Sciences, 2023, v. 24, n. 4, p. 3167, doi. 10.3390/ijms24043167
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- Article
Computer vision and machine learning for robust phenotyping in genome-wide studies.
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- Scientific Reports, 2017, p. 44048, doi. 10.1038/srep44048
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- Article
Genome-wide association and epistasis studies unravel the genetic architecture of sudden death syndrome resistance in soybean.
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- Plant Journal, 2015, v. 84, n. 6, p. 1124, doi. 10.1111/tpj.13069
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- Article
Genetic Analysis of Sugar Composition and Its Relationship with Protein, Oil, and Fiber in Soybean.
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- Crop Science, 2018, v. 58, n. 6, p. 1, doi. 10.2135/cropsci2018.03.0173
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- Article
Genetic variation and marker-trait association affect the genomic selection prediction accuracy of soybean protein and oil content.
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- Frontiers in Plant Science, 2022, v. 13, p. 1, doi. 10.3389/fpls.2022.1064623
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- Article
Deep learning-based phenotyping for genome wide association studies of sudden death syndrome in soybean.
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- Frontiers in Plant Science, 2022, v. 13, p. 1, doi. 10.3389/fpls.2022.966244
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- Article
Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System.
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- Frontiers in Plant Science, 2022, v. 13, p. 1, doi. 10.3389/fpls.2022.896549
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- Article
Identification and Pleiotropic Effect Analysis of GSE5 on Rice Chalkiness and Grain Shape.
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- Frontiers in Plant Science, 2022, v. 12, p. 1, doi. 10.3389/fpls.2021.814928
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- Article
Meta-GWAS for quantitative trait loci identification in soybean.
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- G3: Genes | Genomes | Genetics, 2021, v. 11, n. 7, p. 1, doi. 10.1093/g3journal/jkab117
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- Article
Genetic Control and Geo-Climate Adaptation of Pod Dehiscence Provide Novel Insights into Soybean Domestication.
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- G3: Genes | Genomes | Genetics, 2020, v. 10, n. 2, p. 545, doi. 10.1534/g3.119.400876
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- Article
Gene–allele system of shade tolerance in southern China soybean germplasm revealed by genome-wide association study using gene–allele sequence as markers.
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- Theoretical & Applied Genetics, 2023, v. 136, n. 7, p. 1, doi. 10.1007/s00122-023-04390-2
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- Article
Genome-wide association study, genomic prediction and marker-assisted selection for seed weight in soybean ( Glycine max).
- Published in:
- Theoretical & Applied Genetics, 2016, v. 129, n. 1, p. 117, doi. 10.1007/s00122-015-2614-x
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- Article
Genome-wide association with transcriptomics reveals a shade-tolerance gene network in soybean.
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- Crop Journal (2095-5421), 2024, v. 12, n. 1, p. 232, doi. 10.1016/j.cj.2023.11.013
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- Article
Genetic Architecture of Charcoal Rot (Macrophomina phaseolina) Resistance in Soybean Revealed Using a Diverse Panel.
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- Frontiers in Plant Science, 2017, p. 1, doi. 10.3389/fpls.2017.01626
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- Article
Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity.
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- Frontiers in Plant Science, 2017, v. 7/8, p. 1, doi. 10.3389/fpls.2016.02066
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- Article
Resilience and Flexibility for Clinical Nurses: A Latent Class Analysis.
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- Journal of Nursing Management, 2024, v. 2024, p. 1, doi. 10.1155/2024/6171305
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- Article
Deconstructing the genetic architecture of iron deficiency chlorosis in soybean using genome-wide approaches.
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- BMC Plant Biology, 2020, v. 20, n. 1, p. 1, doi. 10.1186/s12870-020-2237-5
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- Article
Quantitative trait locus analysis of seed sulfur-containing amino acids in two recombinant inbred line populations of soybean.
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- Euphytica, 2015, v. 201, n. 2, p. 293, doi. 10.1007/s10681-014-1223-0
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- Article
A Novel Multirobot System for Plant Phenotyping †.
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- Robotics, 2018, v. 7, n. 4, p. 61, doi. 10.3390/robotics7040061
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- Article
Genome-wide association study for flowering time, maturity dates and plant height in early maturing soybean (Glycine max) germplasm.
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- BMC Genomics, 2015, v. 16, n. 1, p. 1, doi. 10.1186/s12864-015-1441-4
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- Article
Genome-wide association study for flowering time, maturity dates and plant height in early maturing soybean (Glycine max) germplasm.
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- BMC Genomics, 2015, v. 16, n. 1, p. 217, doi. 10.1186/s12864-015-1441-4
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- Article
Leveraging genomic prediction to scan germplasm collection for crop improvement.
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- PLoS ONE, 2017, v. 12, n. 6, p. 1, doi. 10.1371/journal.pone.0179191
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A real-time phenotyping framework using machine learning for plant stress severity rating in soybean.
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- Plant Methods, 2017, v. 13, p. 1, doi. 10.1186/s13007-017-0173-7
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- Article