Found: 17
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Environmental stability and genetic effect of soybeans differing in mutant allele combinations between rs and mips1 genes for soluble carbohydrate profiles.
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- Crop Science, 2023, v. 63, n. 6, p. 3326, doi. 10.1002/csc2.21094
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- Article
Quantitative characterization of proximate sensing canopy traits in the SoyNAM population.
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- Crop Science, 2021, v. 61, n. 2, p. 866, doi. 10.1002/csc2.20132
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- Article
Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops.
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- Frontiers in Plant Science, 2020, v. 11, p. 1, doi. 10.3389/fpls.2020.00681
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- Article
Editorial: Enriching genomic breeding with environmental covariates, crop models, and high-throughput phenotyping.
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- Frontiers in Genetics, 2024, p. 1, doi. 10.3389/fgene.2024.1391938
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- Article
Yield prediction by machine learning from UAS-based mulit-sensor data fusion in soybean.
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- Plant Methods, 2020, v. 16, n. 1, p. 1, doi. 10.1186/s13007-020-00620-6
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- Article
Impact of imputation methods on the amount of genetic variation captured by a single-nucleotide polymorphism panel in soybeans.
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- BMC Bioinformatics, 2016, v. 17, p. 1, doi. 10.1186/s12859-016-0899-7
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- Article
Genetic Architecture of Phenomic-Enabled Canopy Coverage in Glycine max.
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- Genetics, 2017, v. 206, n. 2, p. 1081, doi. 10.1534/genetics.116.198713
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- Article
Quantitative Genomic Dissection of Soybean Yield Components.
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- G3: Genes | Genomes | Genetics, 2020, v. 10, n. 2, p. 665, doi. 10.1534/g3.119.400896
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- Article
Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population.
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- G3: Genes | Genomes | Genetics, 2018, v. 8, n. 2, p. 519, doi. 10.1534/g3.117.300300
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- Article
TILLING by Sequencing: A Successful Approach to Identify Rare Alleles in Soybean Populations.
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- Genes, 2019, v. 10, n. 12, p. 1003, doi. 10.3390/genes10121003
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- Article
bWGR: Bayesian whole-genome regression.
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- Bioinformatics, 2020, v. 36, n. 6, p. 1957, doi. 10.1093/bioinformatics/btz794
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- Article
A Modified Colorimetric Method for Selection of Soybean Phytate Concentration.
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- Crop Science, 2012, v. 52, n. 1, p. 122, doi. 10.2135/cropsci2011.03.0169
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- Article
Improving Emergence of Modified Phosphorus Composition Soybeans: Genotypes, Germplasm, Environments, and Selection.
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- Crop Science, 2011, v. 51, n. 5, p. 1946, doi. 10.2135/cropsci2010.10.0585
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- Article
Genotype X Environment Interaction and Stability of Phosphorus Concentration in Two Soybean Germplasm Sources with Modified Phosphorus Composition.
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- Crop Science, 2011, v. 51, n. 4, p. 1518, doi. 10.2135/cropsci2010.10.0582
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- Article
Environmental Effects on Soybean with Modified Phosphorus and Sugar Composition.
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- Crop Science, 2011, v. 51, n. 2, p. 642, doi. 10.2135/cropsci2010.07.0396
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- Article
Quantifying Effects of Excess Water Stress at Early Soybean Growth Stages Using Unmanned Aerial Systems.
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- Remote Sensing, 2021, v. 13, n. 15, p. 2911, doi. 10.3390/rs13152911
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- Article
A 3347-Locus Genetic Recombination Map of Sequence-Tagged Sites Reveals features of Genome Organization, Transmission and Evolution of Cotton (Gossypium).
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- Genetics, 2004, v. 166, n. 1, p. 389, doi. 10.1534/genetics.166.1.389
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- Article