| Year |
Citation |
Score |
| 2023 |
Diers BW, Specht JE, Graef GL, Song Q, Rainey KM, Ramasubramanian V, Liu X, Myers CL, Stupar RM, An YC, Beavis WD. Genetic architecture of protein and oil content in soybean seed and meal. The Plant Genome. e20308. PMID 36744727 DOI: 10.1002/tpg2.20308 |
0.315 |
|
| 2022 |
Bandillo NB, Jarquin D, Posadas LG, Lorenz AJ, Graef GL. Genomic selection performs as effectively as phenotypic selection for increasing seed yield in soybean. The Plant Genome. e20285. PMID 36447395 DOI: 10.1002/tpg2.20285 |
0.754 |
|
| 2021 |
Happ MM, Graef GL, Wang H, Howard R, Posadas L, Hyten DL. 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. PMID 33868333 DOI: 10.3389/fpls.2021.630175 |
0.733 |
|
| 2019 |
Happ MM, Wang H, Graef GL, Hyten DL. Generating High Density, Low Cost Genotype Data in Soybean [ (L.) Merr.]. G3 (Bethesda, Md.). PMID 31072870 DOI: 10.1534/g3.119.400093 |
0.303 |
|
| 2019 |
Jarquín D, Howard R, Graef G, Lorenz A. Response Surface Analysis of Genomic Prediction Accuracy Values Using Quality Control Covariates in Soybean. Evolutionary Bioinformatics Online. 15: 1176934319831307. PMID 30872917 DOI: 10.1177/1176934319831307 |
0.324 |
|
| 2019 |
Bai G, Ge Y, Scoby D, Leavitt B, Stoerger V, Kirchgessner N, Irmak S, Graef G, Schnable J, Awada T. NU-Spidercam: A large-scale, cable-driven, integrated sensing and robotic system for advanced phenotyping, remote sensing, and agronomic research Computers and Electronics in Agriculture. 160: 71-81. DOI: 10.1016/J.Compag.2019.03.009 |
0.334 |
|
| 2018 |
Diers BW, Specht J, Rainey KM, Cregan P, Song Q, Ramasubramanian V, Graef G, Nelson R, Schapaugh W, Wang D, Shannon G, McHale L, Kantartzi S, Xavier A, Mian R, et al. Genetic Architecture of Soybean Yield and Agronomic Traits. G3 (Bethesda, Md.). PMID 30131329 DOI: 10.1534/G3.118.200332 |
0.519 |
|
| 2018 |
Jesus FG, Marchi-Werle L, Fischer HD, Posadas LG, Graef GL, Heng-Moss T. Documenting Resistance and Physiological Changes in Soybean Challenged by Aphis glycines Matsumura (Hemiptera: Aphididae). Neotropical Entomology. 47: 717-724. PMID 29623554 DOI: 10.1007/s13744-018-0605-8 |
0.735 |
|
| 2018 |
Raju SKK, Shao MR, Sanchez R, Xu YZ, Sandhu A, Graef G, Mackenzie S. An epigenetic breeding system in soybean for increased yield and stability. Plant Biotechnology Journal. PMID 29570925 DOI: 10.1111/Pbi.12919 |
0.368 |
|
| 2017 |
Bandillo NB, Anderson JE, Kantar MB, Stupar RM, Specht JE, Graef GL, Lorenz AJ. Dissecting the Genetic Basis of Local Adaptation in Soybean. Scientific Reports. 7: 17195. PMID 29222468 DOI: 10.1038/S41598-017-17342-W |
0.308 |
|
| 2017 |
Xavier A, Jarquin D, Howard R, Ramasubramanian V, Specht JE, Graef GL, Beavis WD, Diers BW, Song Q, Cregan P, Nelson R, Mian R, Shannon JG, McHale L, Wang D, et al. Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population. G3 (Bethesda, Md.). PMID 29217731 DOI: 10.1534/G3.117.300300 |
0.364 |
|
| 2017 |
Bandillo NB, Lorenz AJ, Graef GL, Jarquin D, Hyten DL, Nelson RL, Specht JE. Genome-wide Association Mapping of Qualitatively Inherited Traits in a Germplasm Collection. The Plant Genome. 10. PMID 28724068 DOI: 10.3835/plantgenome2016.06.0054 |
0.307 |
|
| 2016 |
Phansak P, Soonsuwon W, Hyten DL, Song Q, Cregan PB, Graef GL, Specht JE. Multi-Population Selective Genotyping to Identify Soybean (Glycine max (L.) Merr.) Seed Protein and Oil QTLs. G3 (Bethesda, Md.). PMID 27172185 DOI: 10.1534/g3.116.027656 |
0.386 |
|
| 2016 |
Bai G, Ge Y, Hussain W, Baenziger PS, Graef G. A multi-sensor system for high throughput field phenotyping in soybean and wheat breeding Computers and Electronics in Agriculture. 128: 181-192. DOI: 10.1016/J.Compag.2016.08.021 |
0.312 |
|
| 2014 |
Jarquín D, Kocak K, Posadas L, Hyma K, Jedlicka J, Graef G, Lorenz A. Genotyping by sequencing for genomic prediction in a soybean breeding population. Bmc Genomics. 15: 740. PMID 25174348 DOI: 10.1186/1471-2164-15-740 |
0.747 |
|
| 2014 |
Akpertey A, Belaffif M, Graef GL, Rouf Mian MA, Grover Shannon J, Cregan PB, Hudson ME, Diers BW, Nelson RL. Effects of selective genetic introgression from wild soybean to soybean Crop Science. 54: 2683-2695. DOI: 10.2135/cropsci2014.03.0189 |
0.336 |
|
| 2014 |
Posadas LG, Specht JE, Eskridge KM, Graef GL. Elite performance for grain yield from unadapted exotic soybean germplasm in three cycles of a recurrent selection experiment Crop Science. 54: 2536-2546. DOI: 10.2135/Cropsci2014.01.0090 |
0.748 |
|
| 2014 |
Jarquín D, Kocak K, Posadas L, Hyma K, Jedlicka J, Graef G, Lorenz A. Genotyping by sequencing for genomic prediction in a soybean breeding population Bmc Genomics. 15. DOI: 10.1186/1471-2164-15-740 |
0.732 |
|
| 2006 |
Vasconcelos M, Eckert H, Arahana V, Graef G, Grusak MA, Clemente T. Molecular and phenotypic characterization of transgenic soybean expressing the Arabidopsis ferric chelate reductase gene, FRO2. Planta. 224: 1116-28. PMID 16741749 DOI: 10.1007/S00425-006-0293-1 |
0.659 |
|
| 2006 |
Baenziger PS, Russell WK, Graef GL, Campbell BT. Improving lives: 50 Years of crop breeding, genetics, and cytology (C-1) Crop Science. 46: 2230-2244. DOI: 10.2135/cropsci2005.11.0404gas |
0.364 |
|
| 2004 |
Wang D, Graef GL, Procopiuk AM, Diers BW. Identification of putative QTL that underlie yield in interspecific soybean backcross populations. Theoretical and Applied Genetics. 108: 458-467. PMID 14504749 DOI: 10.1007/S00122-003-1449-Z |
0.411 |
|
| 2001 |
Arahana VS, Graef GL, Specht JE, Steadman JR, Eskridge KM. Identification of QTLs for resistance to Sclerotinia sclerotiorum in soybean Crop Science. 41: 180-188. DOI: 10.2135/Cropsci2001.411180X |
0.701 |
|
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