| Year |
Citation |
Score |
| 2023 |
Lima DC, Aviles AC, Alpers RT, Perkins A, Schoemaker DL, Costa M, Michel KJ, Kaeppler S, Ertl D, Romay MC, Gage JL, Holland J, Beissinger T, Bohn M, Buckler E, ... ... Murray SC, et al. 2020-2021 field seasons of Maize GxE project within the Genomes to Fields Initiative. Bmc Research Notes. 16: 219. PMID 37710302 DOI: 10.1186/s13104-023-06430-y |
0.714 |
|
| 2023 |
Lima DC, Washburn JD, Varela JI, Chen Q, Gage JL, Romay MC, Holland J, Ertl D, Lopez-Cruz M, Aguate FM, de Los Campos G, Kaeppler S, Beissinger T, Bohn M, Buckler E, ... ... Murray SC, et al. Genomes to Fields 2022 Maize genotype by Environment Prediction Competition. Bmc Research Notes. 16: 148. PMID 37461058 DOI: 10.1186/s13104-023-06421-z |
0.709 |
|
| 2023 |
Adak A, Murray SC, Calderón CI, Infante V, Wilker J, Varela JI, Subramanian N, Isakeit T, Ané JM, Wallace J, de Leon N, Stull MA, Brun M, Hill J, Johnson CD. Genetic mapping and prediction for novel lesion mimic in maize demonstrates quantitative effects from genetic background, environment and epistasis. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 136: 155. PMID 37329482 DOI: 10.1007/s00122-023-04394-y |
0.31 |
|
| 2023 |
Adak A, Kang M, Anderson SL, Murray SC, Jarquin D, Wong RKW, Katzfuß M. Phenomic data-driven biological prediction of maize through field-based high throughput phenotyping integration with genomic data. Journal of Experimental Botany. PMID 37279568 DOI: 10.1093/jxb/erad216 |
0.585 |
|
| 2023 |
Lima DC, Aviles AC, Alpers RT, McFarland BA, Kaeppler S, Ertl D, Romay MC, Gage JL, Holland J, Beissinger T, Bohn M, Buckler E, Edwards J, Flint-Garcia S, Hirsch CN, ... ... Murray SC, et al. 2018-2019 field seasons of the Maize Genomes to Fields (G2F) G x E project. Bmc Genomic Data. 24: 29. PMID 37231352 DOI: 10.1186/s12863-023-01129-2 |
0.718 |
|
| 2022 |
Adak A, Murray SC, Anderson SL. Temporal phenomic predictions from unoccupied aerial systems can outperform genomic predictions. G3 (Bethesda, Md.). PMID 36445027 DOI: 10.1093/g3journal/jkac294 |
0.562 |
|
| 2021 |
Adak A, Murray SC, Anderson SL, Popescu SC, Malambo L, Romay MC, de Leon N. Unoccupied aerial systems discovered overlooked loci capturing the variation of entire growing period in maize. The Plant Genome. e20102. PMID 34009740 DOI: 10.1002/tpg2.20102 |
0.618 |
|
| 2021 |
Adak A, Conrad C, Chen Y, Wilde SC, Murray SC, Anderson S, Subramanian NK. Validation of Functional Polymorphisms Affecting Maize Plant Height by Unoccupied Aerial Systems (UAS) Discovers Novel Temporal Phenotypes. G3 (Bethesda, Md.). PMID 33822935 DOI: 10.1093/g3journal/jkab075 |
0.63 |
|
| 2021 |
Rogers AR, Dunne JC, Romay C, Bohn M, Buckler ES, Ciampitti IA, Edwards J, Ertl D, Flint-Garcia S, Gore MA, Graham C, Hirsch CN, Hood E, Hooker DC, Knoll J, ... ... Murray SC, et al. The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment. G3 (Bethesda, Md.). 11. PMID 33585867 DOI: 10.1093/g3journal/jkaa050 |
0.31 |
|
| 2020 |
Anderson SL, Murray SC. R/UAStools::plotshpcreate: Create Multi-Polygon Shapefiles for Extraction of Research Plot Scale Agriculture Remote Sensing Data. Frontiers in Plant Science. 11: 511768. PMID 33101323 DOI: 10.3389/fpls.2020.511768 |
0.487 |
|
| 2020 |
Pruter LS, Brewer MJ, Murray SC, Isakeit T, Pekar JJ, Wahl NJ. Yield, Insect-Derived Ear Injury, and Aflatoxin Among Developmental and Commercial Maize Hybrids Adapted to the North American Subtropics. Journal of Economic Entomology. PMID 32978948 DOI: 10.1093/jee/toaa207 |
0.67 |
|
| 2020 |
Zhang M, Liu YH, Xu W, Smith CW, Murray SC, Zhang HB. Analysis of the genes controlling three quantitative traits in three diverse plant species reveals the molecular basis of quantitative traits. Scientific Reports. 10: 10074. PMID 32572040 DOI: 10.1038/S41598-020-66271-8 |
0.378 |
|
| 2020 |
Anderson SL, Murray SC, Chen Y, Malambo L, Chang A, Popescu S, Cope D, Jung J. Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci. Plant Direct. 4: e00223. PMID 32399510 DOI: 10.1002/pld3.223 |
0.596 |
|
| 2020 |
Scalabrin S, Toniutti L, Di Gaspero G, Scaglione D, Magris G, Vidotto M, Pinosio S, Cattonaro F, Magni F, Jurman I, Cerutti M, Suggi Liverani F, Navarini L, Del Terra L, Pellegrino G, ... ... Murray S, et al. A single polyploidization event at the origin of the tetraploid genome of Coffea arabica is responsible for the extremely low genetic variation in wild and cultivated germplasm. Scientific Reports. 10: 4642. PMID 32170172 DOI: 10.1038/S41598-020-61216-7 |
0.671 |
|
| 2020 |
McFarland BA, AlKhalifah N, Bohn M, Bubert J, Buckler ES, Ciampitti I, Edwards J, Ertl D, Gage JL, Falcon CM, Flint-Garcia S, Gore MA, Graham C, Hirsch CN, Holland JB, ... ... Murray SC, et al. Maize genomes to fields (G2F): 2014-2017 field seasons: genotype, phenotype, climatic, soil, and inbred ear image datasets. Bmc Research Notes. 13: 71. PMID 32051026 DOI: 10.1186/S13104-020-4922-8 |
0.386 |
|
| 2020 |
Ferreira de Oliveira GH, Murray SC, Cunha Júnior LC, Gomes de Lima KM, de Lelis Medeiros de Morais C, Henrique de Almeida Teixeira G, Môro GV. Estimation and classification of popping expansion capacity in popcorn breeding programs using NIR spectroscopy Journal of Cereal Science. 91: 102861. DOI: 10.1016/J.Jcs.2019.102861 |
0.328 |
|
| 2020 |
Falcon CM, Kaeppler SM, Spalding EP, Miller ND, Haase N, AlKhalifah N, Bohn M, Buckler ES, Campbell DA, Ciampitti I, Coffey L, Edwards J, Ertl D, Flint‐Garcia S, Gore MA, ... ... Murray SC, et al. Relative utility of agronomic, phenological, and morphological traits for assessing genotype‐by‐environment interaction in maize inbreds Crop Science. 60: 62-81. DOI: 10.1002/Csc2.20035 |
0.332 |
|
| 2019 |
Wisser RJ, Fang Z, Holland JB, Teixeira JEC, Dougherty J, Weldekidan T, de Leon N, Flint-Garcia S, Lauter N, Murray SC, Xu W, Hallauer A. The Genomic Basis for Short-Term Evolution of Environmental Adaptation in Maize. Genetics. PMID 31615843 DOI: 10.1534/Genetics.119.302780 |
0.451 |
|
| 2019 |
Pruter LS, Brewer MJ, Weaver MA, Murray SC, Isakeit TS, Bernal JS. Association of Insect-Derived Ear Injury With Yield and Aflatoxin of Maize Hybrids Varying in Bt Transgenes. Environmental Entomology. PMID 31586402 DOI: 10.1093/Ee/Nvz112 |
0.358 |
|
| 2019 |
Zhang M, Cui Y, Liu YH, Xu W, Sze SH, Murray SC, Xu S, Zhang HB. Accurate prediction of maize grain yield using its contributing genes for gene-based breeding. Genomics. PMID 30826444 DOI: 10.1016/J.Ygeno.2019.02.001 |
0.381 |
|
| 2019 |
Murray SC, Mayfield K, Pekar J, Brown P, Lorenz A, Isakeit T, Odvody G, Xu W, Betran J. Tx741, Tx777, Tx779, Tx780, and Tx782 Inbred Maize Lines for Yield and Southern United States Stress Adaptation Journal of Plant Registrations. 13: 258-269. DOI: 10.3198/Jpr2017.07.0044Crp |
0.728 |
|
| 2019 |
Shakoor N, Northrup D, Murray S, Mockler TC. Big Data Driven Agriculture: Big Data Analytics in Plant Breeding, Genomics, and the Use of Remote Sensing Technologies to Advance Crop Productivity The Plant Phenome Journal. 2: 1-8. DOI: 10.2135/TPPJ2018.12.0009 |
0.726 |
|
| 2019 |
Pekar JJ, Murray SC, Isakeit TS, Scully BT, Guo B, Knoll JE, Ni X, Abbas HK, Williams P, Xu W. Evaluation of Elite Maize Inbred Lines for Reduced Aspergillus flavus
Infection, Aflatoxin Accumulation, and Agronomic Traits Crop Science. 59: 2562-2571. DOI: 10.2135/Cropsci2019.04.0206 |
0.351 |
|
| 2018 |
Anderson SL, Mahan AL, Murray SC, Klein PE. Four Parent Maize (FPM) Population: Effects of Mating Designs on Linkage Disequilibrium and Mapping Quantitative Traits. The Plant Genome. 11. PMID 30025026 DOI: 10.3835/Plantgenome2017.11.0102 |
0.764 |
|
| 2018 |
AlKhalifah N, Campbell DA, Falcon CM, Gardiner JM, Miller ND, Romay MC, Walls R, Walton R, Yeh CT, Bohn M, Bubert J, Buckler ES, Ciampitti I, Flint-Garcia S, Gore MA, ... ... Murray SC, et al. Maize Genomes to Fields: 2014 and 2015 field season genotype, phenotype, environment, and inbred ear image datasets. Bmc Research Notes. 11: 452. PMID 29986751 DOI: 10.1186/S13104-018-3508-1 |
0.405 |
|
| 2018 |
Warburton ML, Womack ED, Tang JD, Thrash A, Smith JS, Xu W, Murray SC, Williams WP. Genome-Wide Association and Metabolic Pathway Analysis of Corn Earworm Resistance in Maize. The Plant Genome. 11. PMID 29505629 DOI: 10.3835/Plantgenome2017.08.0069 |
0.33 |
|
| 2018 |
Mahan AL, Murray SC, Klein PE. Four-Parent Maize (FPM) Population: Development and Phenotypic Characterization Crop Science. 58: 1106-1117. DOI: 10.2135/Cropsci2017.07.0450 |
0.759 |
|
| 2018 |
Malambo L, Popescu S, Murray S, Putman E, Pugh N, Horne D, Richardson G, Sheridan R, Rooney W, Avant R, Vidrine M, McCutchen B, Baltensperger D, Bishop M. Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery International Journal of Applied Earth Observation and Geoinformation. 64: 31-42. DOI: 10.1016/J.Jag.2017.08.014 |
0.342 |
|
| 2017 |
Gage JL, Jarquin D, Romay C, Lorenz A, Buckler ES, Kaeppler S, Alkhalifah N, Bohn M, Campbell DA, Edwards J, Ertl D, Flint-Garcia S, Gardiner J, Good B, Hirsch CN, ... ... Murray SC, et al. The effect of artificial selection on phenotypic plasticity in maize. Nature Communications. 8: 1348. PMID 29116144 DOI: 10.1038/S41467-017-01450-2 |
0.402 |
|
| 2017 |
Echeverria-Beirute F, Murray SC, Klein P, Kerth C, Miller R, Bertrand B. Rust and thinning management effect on cup quality and plant performance for two cultivars of Coffea arabica L. Journal of Agricultural and Food Chemistry. PMID 28899100 DOI: 10.1021/Acs.Jafc.7B03180 |
0.638 |
|
| 2017 |
Chu T, Starek M, Brewer M, Murray S, Pruter L. Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images Remote Sensing. 9: 923. DOI: 10.3390/Rs9090923 |
0.336 |
|
| 2017 |
Jessup RW, Klein RR, Burson BL, Murray SC, Washburn JD, Heitholt JJ, Foster JL. Registration of Perennial Sorghum bicolor
× S. propinquum
Line PSH12TX09 Journal of Plant Registrations. 11: 76-79. DOI: 10.3198/Jpr2015.09.0054Crgs |
0.71 |
|
| 2016 |
Shi Y, Thomasson JA, Murray SC, Pugh NA, Rooney WL, Shafian S, Rajan N, Rouze G, Morgan CL, Neely HL, Rana A, Bagavathiannan MV, Henrickson J, Bowden E, Valasek J, et al. Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research. Plos One. 11: e0159781. PMID 27472222 DOI: 10.1371/Journal.Pone.0159781 |
0.347 |
|
| 2016 |
Wahl N, Murray SC, Isakeit T, Krakowsky M, Windham GL, Williams WP, Guo B, Ni X, Knoll J, Xu W, Scully B, Mayfield K, Betran J. Identification of Resistance to Aflatoxin Accumulation and Yield Potential in Maize Hybrids in the Southeast Regional Aflatoxin Trials (SERAT) Crop Science. 57: 202-215. DOI: 10.2135/Cropsci2016.06.0519 |
0.761 |
|
| 2015 |
Collison A, Yang L, Dykes L, Murray S, Awika JM. Influence of Genetic Background on Anthocyanin and Copigment Composition and Behavior during Thermoalkaline Processing of Maize. Journal of Agricultural and Food Chemistry. 63: 5528-38. PMID 26010030 DOI: 10.1021/Acs.Jafc.5B00798 |
0.3 |
|
| 2015 |
Farfan ID, De La Fuente GN, Murray SC, Isakeit T, Huang PC, Warburton M, Williams P, Windham GL, Kolomiets M. Genome wide association study for drought, aflatoxin resistance, and important agronomic traits of maize hybrids in the sub-tropics. Plos One. 10: e0117737. PMID 25714370 DOI: 10.1371/Journal.Pone.0117737 |
0.795 |
|
| 2015 |
Teixeira JE, Weldekidan T, de Leon N, Flint-Garcia S, Holland JB, Lauter N, Murray SC, Xu W, Hessel DA, Kleintop AE, Hawk JA, Hallauer A, Wisser RJ. Hallauer's Tusón: a decade of selection for tropical-to-temperate phenological adaptation in maize. Heredity. 114: 229-40. PMID 25370213 DOI: 10.1038/Hdy.2014.90 |
0.324 |
|
| 2015 |
Meng Q, Murray SC, Mahan A, Collison A, Yang L, Awika J. Rapid Estimation of Phenolic Content in Colored Maize by Near-Infrared Reflectance Spectroscopy and Its Use in Breeding Crop Science. 55: 2234-2243. DOI: 10.2135/Cropsci2014.11.0767 |
0.747 |
|
| 2015 |
Warburton ML, Tang JD, Windham GL, Hawkins LK, Murray SC, Xu W, Boykin D, Perkins A, Williams WP. Genome-wide association mapping of aspergillus flavus and aflatoxin accumulation resistance in maize Crop Science. 55: 1857-1867. DOI: 10.2135/Cropsci2014.06.0424 |
0.436 |
|
| 2015 |
Meng Q, Chen Y, Zhang M, Chen Y, Yuan J, Murray SC. Molecular characterization and phylogenetic analysis of ZmMCUs in maize Biologia. 70. DOI: 10.1515/Biolog-2015-0077 |
0.329 |
|
| 2014 |
Henry WB, Blanco MH, Rowe DE, Windham GL, Murray SC, Williams WP. Diallel Analysis of Diverse Maize Germplasm Lines for Agronomic Characteristics Crop Science. 54: 2547-2556. DOI: 10.2135/Cropsci2014.01.0078 |
0.459 |
|
| 2014 |
Mahan AL, Murray SC, Crosby K, Scott MP. Quality protein maize germplasm characterized for amino acid profiles and endosperm opacity Crop Science. 54: 863-872. DOI: 10.2135/Cropsci2012.11.0658 |
0.733 |
|
| 2013 |
De La Fuente GN, Murray SC, Isakeit T, Park YS, Yan Y, Warburton ML, Kolomiets MV. Characterization of genetic diversity and linkage disequilibrium of ZmLOX4 and ZmLOX5 loci in maize. Plos One. 8: e53973. PMID 23365644 DOI: 10.1371/Journal.Pone.0053973 |
0.784 |
|
| 2013 |
Washburn JD, Murray SC, Burson BL, Klein RR, Jessup RW. Targeted mapping of quantitative trait locus regions for rhizomatousness in chromosome SBI-01 and analysis of overwintering in a Sorghum bicolor × S. propinquum population. Molecular Breeding : New Strategies in Plant Improvement. 31: 153-162. PMID 23316113 DOI: 10.1007/S11032-012-9778-8 |
0.782 |
|
| 2013 |
Meeks M, Murray S, Hague S, Hays D. Measuring Maize Seedling Drought Response in Search of Tolerant Germplasm Agronomy. 3: 135-147. DOI: 10.3390/Agronomy3010135 |
0.793 |
|
| 2013 |
Warburton ML, Williams WP, Windham GL, Murray SC, Xu W, Hawkins LK, Duran JF. Phenotypic and genetic characterization of a maize association mapping panel developed for the identification of new sources of resistance to Aspergillus flavus and aflatoxin accumulation Crop Science. 53: 2374-2383. DOI: 10.2135/Cropsci2012.10.0616 |
0.424 |
|
| 2013 |
Mahan AL, Murray SC, Rooney LW, Crosby KM. Combining ability for total phenols and secondary traits in a diverse set of colored (Red, Blue, and Purple) maize Crop Science. 53: 1248-1255. DOI: 10.2135/Cropsci2012.06.0385 |
0.768 |
|
| 2013 |
Henry WB, Windham GL, Rowe DE, Blanco MH, Murray SC, Williams WP. Diallel Analysis of Diverse Maize Germplasm Lines for Resistance to Aflatoxin Accumulation Crop Science. 53: 394-402. DOI: 10.2135/Cropsci2012.04.0240 |
0.346 |
|
| 2013 |
Barrero Farfan ID, Murray SC, Labar S, Pietsch D. A multi-environment trial analysis shows slight grain yield improvement in Texas commercial maize Field Crops Research. 149: 167-176. DOI: 10.1016/J.Fcr.2013.04.017 |
0.404 |
|
| 2013 |
Washburn JD, Whitmire DK, Murray SC, Burson BL, Wickersham TA, Heitholt JJ, Jessup RW. Estimation of Rhizome Composition and Overwintering Ability in Perennial Sorghum spp. Using Near-Infrared Spectroscopy (NIRS) Bioenergy Research. 6: 822-829. DOI: 10.1007/S12155-013-9305-8 |
0.707 |
|
| 2012 |
Felderhoff TJ, Murray SC, Klein PE, Sharma A, Hamblin MT, Kresovich S, Vermerris W, Rooney WL. QTLs for Energy-related Traits in a Sweet × Grain Sorghum [Sorghum bicolor
(L.) Moench] Mapping Population Crop Science. 52: 2040-2049. DOI: 10.2135/Cropsci2011.11.0618 |
0.682 |
|
| 2012 |
Meeks M, Murray SC, Hague S, Hays D, Ibrahim AMH. Genetic Variation for Maize Epicuticular Wax Response to Drought Stress at Flowering Journal of Agronomy and Crop Science. 198: 161-172. DOI: 10.1111/J.1439-037X.2011.00495.X |
0.8 |
|
| 2011 |
Mayfield K, Betrán FJ, Isakeit T, Odvody G, Murray SC, Rooney WL, Landivar JC. Registration of maize germplasm lines Tx736, Tx739, and Tx740 for reducing preharvest aflatoxin accumulation Journal of Plant Registrations. 6: 88-94. DOI: 10.3198/Jpr2010.12.0675Crg |
0.724 |
|
| 2011 |
Mayfield KL, Murray SC, Rooney WL, Isakeit T, Odvody GA. Confirmation of QTL reducing aflatoxin in maize testcrosses Crop Science. 51: 2489-2498. DOI: 10.2135/Cropsci2011.02.0112 |
0.447 |
|
| 2011 |
Charles Brummer E, Barber WT, Collier SM, Cox TS, Johnson R, Murray SC, Olsen RT, Pratt RC, Thro AM. Plant breeding for harmony between agriculture and the environment Frontiers in Ecology and the Environment. 9: 561-568. DOI: 10.1890/100225 |
0.371 |
|
| 2009 |
Wang ML, Zhu C, Barkley NA, Chen Z, Erpelding JE, Murray SC, Tuinstra MR, Tesso T, Pederson GA, Yu J. Genetic diversity and population structure analysis of accessions in the US historic sweet sorghum collection. Tag. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik. 120: 13-23. PMID 19760215 DOI: 10.1007/S00122-009-1155-6 |
0.469 |
|
| 2009 |
Murray SC, Rooney WL, Hamblin MT, Mitchell SE, Kresovich S. Sweet Sorghum Genetic Diversity and Association Mapping for Brix and Height The Plant Genome. 2: 48-62. DOI: 10.3835/Plantgenome2008.10.0011 |
0.651 |
|
| 2008 |
Wisser RJ, Murray SC, Kolkman JM, Ceballos H, Nelson RJ. Selection mapping of loci for quantitative disease resistance in a diverse maize population. Genetics. 180: 583-99. PMID 18723892 DOI: 10.1534/Genetics.108.090118 |
0.433 |
|
| 2008 |
Murray SC, Rooney WL, Mitchell SE, Sharma A, Klein PE, Mullet JE, Kresovich S. Genetic improvement of sorghum as a biofuel feedstock: II. QTL for stem and leaf structural carbohydrates Crop Science. 48: 2180-2193. DOI: 10.2135/Cropsci2008.01.0068 |
0.66 |
|
| 2008 |
Murray SC, Sharma A, Rooney WL, Klein PE, Mullet JE, Mitchell SE, Kresovich S. Genetic improvement of sorghum as a biofuel feedstock: I. QTL for stem sugar and grain nonstructural carbohydrates Crop Science. 48: 2165-2179. DOI: 10.2135/Cropsci2008.01.0016 |
0.632 |
|
| 2007 |
McGrath JM, Trebbi D, Fenwick A, Panella L, Schulz B, Laurent V, Barnes S, Murray SC. An open-source first-generation molecular genetic map from a sugarbeet × table beet cross and its extension to physical mapping Crop Science. 47: S-27-S-44. DOI: 10.2135/Cropsci2006-05-0339Tpg |
0.511 |
|
| 2006 |
Hamblin MT, Casa AM, Sun H, Murray SC, Paterson AH, Aquadro CF, Kresovich S. Challenges of detecting directional selection after a bottleneck: lessons from Sorghum bicolor. Genetics. 173: 953-64. PMID 16547110 DOI: 10.1534/Genetics.105.054312 |
0.779 |
|
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