George Graef

The University of Nebraska - Lincoln, Lincoln, NE 
Agronomy Agriculture, Molecular Biology
"George Graef"
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Happ MM, Graef GL, Wang H, et al. (2021) Comparing a Mixed Model Approach to Traditional Stability Estimators for Mapping Genotype by Environment Interactions and Yield Stability in Soybean [ (L.) Merr.]. Frontiers in Plant Science. 12: 630175
Yuan W, Wijewardane NK, Jenkins S, et al. (2019) Early Prediction of Soybean Traits through Color and Texture Features of Canopy RGB Imagery. Scientific Reports. 9: 14089
Happ MM, Wang H, Graef GL, et al. (2019) Generating High Density, Low Cost Genotype Data in Soybean [ (L.) Merr.]. G3 (Bethesda, Md.)
Jarquín D, Howard R, Graef G, et al. (2019) Response Surface Analysis of Genomic Prediction Accuracy Values Using Quality Control Covariates in Soybean. Evolutionary Bioinformatics Online. 15: 1176934319831307
Menza NCL, Monzon JP, Specht JE, et al. (2019) Nitrogen limitation in high-yield soybean: Seed yield, N accumulation, and N-use efficiency Field Crops Research. 237: 74-81
Diers BW, Specht J, Rainey KM, et al. (2018) Genetic Architecture of Soybean Yield and Agronomic Traits. G3 (Bethesda, Md.)
Bai G, Jenkins S, Yuan W, et al. (2018) Field-Based Scoring of Soybean Iron Deficiency Chlorosis Using RGB Imaging and Statistical Learning. Frontiers in Plant Science. 9: 1002
Raju SKK, Shao MR, Sanchez R, et al. (2018) An epigenetic breeding system in soybean for increased yield and stability. Plant Biotechnology Journal
Waters BM, Amundsen K, Graef G. (2018) Gene Expression Profiling of Iron Deficiency Chlorosis Sensitive and Tolerant Soybean Indicates Key Roles for Phenylpropanoids under Alkalinity Stress. Frontiers in Plant Science. 9: 10
Bandillo NB, Anderson JE, Kantar MB, et al. (2017) Dissecting the Genetic Basis of Local Adaptation in Soybean. Scientific Reports. 7: 17195
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