Peláez-Vico, M.A., R. Sinha, S.P. Induri, Z. Liyu, S.D. Venigalla, D. Vasireddy, P. Singh, M.S. Immadi, L.S. Pascual, B. Shostak, D. Mendoza-Cozatl, T. Joshi, F.B. Fritschi, S.I. Zandalinas, and R. Mittler. 2023. The impact of multifactorial stress combination on reproductive tissues and grain yield of a crop plant. The Plant Journal DOI: 10.1111/tpj.16570

Aslam, M.M., F.B. Fritschi, Z. Di, G. Wang, H. Li, H.-M. Lam, M. Waseem, X. Weifeng, and J. Zhang. 2023. Overexpression of LaGRAS enhances phosphorus acquisition via increased root growth of phosphorus-deficient white lupin. Physiologia Plantarum 175:e13962. DOI: 10.1111/ppl.13962

Arifuzzaman, M., S. Mamidi, A. Sanz-Saez, H. Zakeri, A. Scaboo, and F.B. Fritschi. 2023. Identification of loci associated with water use efficiency and symbiotic nitrogen fixation in soybean. Frontiers in Plant Science 14:1271849. DOI: 10.3389/fpls2023.1271849

Sinha, R., M.A. Peláez-Vico, B. Shostak, T.T. Nguyen, L.S. Pascual, Z. Lyu, S.I. Zandalinas, T. Joshi, F.B. Fritschi, and R. Mittler. 2023. The effects of multifactorial stress combination on rice and maize. Plant Physiology. Plant Physiology 194:1358-1369. DOI: 10.1093/plphys/kiad447

Sarkar, S., V. Sagan, S. Bhadra, K. Rhodes, M. Pokharel, and F.B. Fritschi. 2023. Soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing 204:257-274. DOI: 10.1016/1.isprsjprs.2023.09.010

Wang, N., F. Torralbo, H.D. Naumann, and F.B. Fritschi. Tissue composition and higher heating values differ among six bioenergy grasses. Industrial Crops and Products 205:117437. DOI: 10.1016/j.indcrop.2023.117437.

Torralbo, F., D. Boardman, J. Houx III, and F.B. Fritschi. 2023. Soil mineral nitrogen content and grain yield with enhanced efficiency fertilizers in maize. Agronomy Journal 115:976-986. DOI: 10.1002/agj2.21255

Edwards, J.A., U.B. Saran, J. Bonnette, A. MacQueen, J. Yin, T. Nguyen, J. Schmutz, J. Grimwood, L.A. Pennacchio, C. Daum, T. Galvina del Rio, F.B. Fritschi, D.B. Lowry, and T.E. Juenger. 2023. Genetic determinants of switchgrass-root-associated microbiota in field sites spanning its natural range. Current Biology. DOI: 10.1016/j.cub.2023.03.078

Sinha, R., S.P. Induri, M. A. Peláez-Vico, A. Tukuli, B. Shostak, S.I. Zandalinas, T. Joshi, F.B. Fritschi, and R. Mittler. 2023. The transcriptome of soybean reproductive tissues subjected to water deficit, heat stress, and a combination of water deficit and heat stress. The Plant Journal 116:1064-1080. DOI: 10.1111/tpj.16222

Sinha, R., B. Shostak, S.P. Induri, S. Sen, S.I. Zandalinas, T. Joshi, F.B. Fritschi, and R. Mittler. 2023. Differential transpiration of pods during stress combination in soybean. Plant Physiology DOI: 10.1093/plphys/kiad114

Ricketts, M., R. Heckman, P. Fay, R. Matamala, J.D. Jastrow, F.B. Fritschi, J. Bonnette, and T. Juenger. 2023. Local adaptation of switchgrass drives trait relations to yield and differential responses to climate and soil environments. GCB Bioenergy 15:680-696. DOI: 10.1111/gcbb.13046

Sen, S., S. K. King, T. McCubbin, L.A. Greeley, R.A. Mertz, C. Becker, N. Niehues, S. Zeng, J.T. Stemmle, S.C. Peck, M. J. Oliver, F.B. Fritschi, D.M. Braun, R.E. Sharp, and T. Joshi. 2023. De-novo transcriptome assembly from the nodal root growth zone of hydrated and water-deficit stressed maize inbred lined FR697. Scientific Reports 13:1960. DOI: 10.1038/s41598-023-29115-9

Chamarthi, S.K., A.S. Kaler, H. Abdel-Haleem, F.B. Fritschi, J.D. Gillman, J.D. Ray, J.R. Smith, and L.C. Purcell. 2022. Identification of genomic regions associated with the plasticity of carbon 13 ration in soybean. Plant Genome 2022;e20284. DOI: 10.1002/tpg2.20284

Dilmurat, K., V. Sagan, M. Maimaitijiang, S. Moose, and F.B. Fritschi. 2022. Estimating crop seed composition using automated machine learning from multisensory UAV data. Remote Sensing 14:4786. DOI: 10.3390/rs14194786

Salmeron, M., F. Bourland, N. Buehring, L. Earnest, F.B. Fritschi, E. Gbur, B.R. Golden, D. Hathcoat, J. Lofton, A.T. McClure, T.D. Miller, C. Neely, G. Shannon, T. Udeigwe, E.D. Vories, W.J. Wiebold, and L.C. Purcell. 2022. Regional analysis of planting date and cultivar maturity recommendations that improve soybean oil yield and meal protein concentration. Frontiers in Plant Science 13:954111. DOI: 10.3389/fpls.2022.954111.

Wang, N., C. Shock, F.B. Fritschi, L. Gao, Z. Huang, J. Zhao, and F. Wang. 2022. Optimizing quinoa height to counter lodging risks in the three main production regions of China. Agricultural and Forest Meteorology 323:109084. DOI: 10.1016/agrformet.2022.109084

Zhang, L., A. MacQueen, X. Weng, K. D. Behrman, J. Bonnette, J.L. Reilley, F.M. Rouquette Jr., P.A. Fay, Y. Wu, F. B. Fritschi, R.B. Mitchell, D.B. Lowry, A.R. Boe, and T.E. Juenger. 2022. The genetic basis for panicle trait variation in switchgrass (Panicum virgatum). Theoretical and Applied Genetics 135:2577-2592. DOI:10.1007/s00122-022-04096-x

Gleason, S.M., D.M. Barnard, T.R. Green, D.S. Mackay, D.R. Wang, E.A. Ainsworth, J. Altenhofen, G. Banks, T.J. Brodribb, H. Cochard, L.H. Comas, M. Cooper, D. Creek, K.C. DeJonge, S. Delzon, F.B. Fritschi, G. Hammer, C. Hunter, D. Lombardozzi, C.D. Messina, T. Ocheltree, B.M. Stevens, J.J. Stewart, V. Vadez, J. Wenz, I.J. Wright, H. Zhang. 2022. Physiological trait networks have potential to predict maize growth in contrasting environments. Plant Cell and Environment DOI: 10.1111/pce.14382

VanWallendael, A., G.M.N. Benucci, P.B. da Costa, L. Fraser, A. Sreedasyam, F.B. Fritschi, T.E. Juenger, J.T. Lovell, G. Bonito, and D.B. Lowry. 2022. Host genotype controls ecological change in the leaf fungal microbiome. PLOS Biology 20(8): e3001681. DOI:10.1371/journal.pbio.3001681

Sinha, R., S.I. Zandalinas, Y. Fichman, S. Sen, T. Joshi, F.B. Fritschi, and R. Mittler. 2022. Differential regulation of flower transpiration during abiotic stress in plants. New Phytologist 235:611-629. DOI: 10.1111/nph.18162

Torralbo, F., D. Boardman, J.H. Houx III, and F.B. Fritschi. 2022. Distinct enhanced efficiency urea fertilizers differentially influence ammonia volatilization losses and maize yield. Plant and Soil. https://doi.org/10.1007/s11104-022-05387-4

Napier, J.D., P. Grabowski, J.T. Lovell, J. Bonnette, S. Mamidi, M.J. Gomez-Hughes, A. VanWallendael, A.R. Boe, P.A. Fay, F.B. Fritschi, M. Harrison, J. Lloyd-Reilley, D.B. Lowry, R.B. Mitchell, F.M. Rouquette, Y. Wu, K. Barry, J. Grimwood, J. Schmutz, and T.E. Juenger. 2022. A generalist-specialist tradeoff between switchgrass cytotypes impacts climate adaptation and geographic range. PNAS 119 (15) e2118879119. DOI:10.1073/pnas.2118879119

Demby’s, J. A. Shafiekani, F.B. Fritschi, and G.N. DeSouza. 2021. Spatio-temporal reconstruction and visualization of plant growth for phenotyping. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Orlando, FL, USA. DOI: 10.1109/SSCI50451.2021.9660068 – Peer-reviewed conference proceedings.

Chen, W., F.B. Fritschi, Y. Wu, and T.E. Juenger. 2021. The genetic basis of the root economics spectrum in a perennial grass. PNAS 118 e2107541118. DOI: 10.1073/pnas.2107541118

Oseland, E., K. Shannon, J. Zhou, F. Fritschi, M.D. Bish, and K.W. Bradley. 2021. Evaluating the spectral response and yield of soybean following exposure to sublethal rates of 2,4-D and Dicamba at vegetative and reproductive growth stages. Remote Sensing 2021, 13, 3682. DOI: 10.3390/rs13183682

Sinha, R., F.B. Fritschi, S.I Zandalinas, and R. Mittler. 2021. The impact of stress combination on reproductive processes in crops. Plant Science 311:111007. DOI: 10.1016/j.plantsci.2021.111007

Chamarthi, S.K., A.S. Kaler, H. Abdel-Haleem, F.B. Fritschi, J.D. Gillman, J.D. Ray, J.R. Smith, A.P. Dhanapal, C.A. King, L.C. Purcell. 2021. Identification and confirmation of loci associated with canopy wilting in soybean using genome wide association mapping. Frontiers in Plant Science 12:698116. DOI: 10.3389/fpls.2021.698116

Zhang, L., A., MacQueen, J. Bonnette, F.B. Fritschi, D. Lowry, and T. Juenger. 2021. QTL x environment interactions underlie ionome divergence in switchgrass. G3 Genes|Genomes|Genetics 11:7,1kab144. DOI: 10.1093/g3journal/jkab144

Zandalinas, S.I., F.B. Fritschi, and R. Mittler. 2021. Global warming, climate change and environmental pollution: Recipe for a multifactorial stress combination disaster. Trends in Plant Science 26:588-599. DOI: 10.1016/j.tplants.2021.02.011.

Sagan, V., M. Maimaitijiang, S. Bhadra, M. Maimaitiyiming, D.R. Brown, P. Sidike, and F.B. Fritschi. 2021. Field-scale crop yield prediction using multi—temporal WorldView-3 and PlanetScope satellite data and deep learning. ISPRS Journal of Photogrammetry and Remote Sensing 174:265-281. DOI: 10.1016/j.isprsjprs.2021.02.008

Zandalinas, S.I., S. Sengupta, F.B. Fritschi, R.K. Azad, R. Nechushtai, and R. Mittler. 2021. The impact of multifactorial stress combination on plant growth and survival. New Phytologist 230:1034-1048. DOI: 10.1111/nph.17232

Ning, P., M.J.W. Maw, L. Yang, and F.B. Fritschi. 2021. Carbon accumulation in kernels of low-nitrogen maize is not limited by carbon availability but by an imbalance of carbon and nitrogen assimilates. Journal of Plant Nutrition and Soil Science. DOI: 10.1002/jpln.202000112

Dhanapal, A.P., L.M. York, K.A. Hames, and F.B. Fritschi. 2021. Genome-wide association study of topsoil root system architecture in field-grown soybean [Glycine max (L.) Merr.]. Frontiers in Plant Science 11:590179. DOI: 10.3389/fpls.2020.590179

Lovell, J.T., A.H. MacQueen, S. Mamidi, J. Bonnette, J. Jenkins, J.D. Napier, A. Sreedasyam, A. Healey, A. Session, S. Shu, K. Barry, S. Bonos, LB. Boston, C. Daum, S. Deshpande, A. Ewing, P.P. Grabowski, T. Haque, M. Harrison, J. Jiang, D. Kudrna, A. Lipzen, T.H. Pendergast IV, C. Plott, P. Qi, C.A. Saski, E.V. Shakirov, D. Sims, M. Sharma, R. Sharma, A. Stewart, V.R. Singan, Y. Tang, S. Thibivillier, J. Webber, X. Weng, M. Williams, G.A. Wu, Y. Yoshinaga, M. Zane, L. Zhang, J. Zhang, K.D. Behrman, A.R. Boe, P.A. Fay, F.B. Fritschi, J.D. Jastrow, J. Lloyd-Reilley, J.M. Martínez-Reyna, R. Matamala, R.B. Mitchell, F.M. Rouquette Jr, P. Ronald, M. Saha, C.M. Tobias, M. Udvardi, R. Wing, Y. Wu, L.E. Bartley, M. Casler, K.M. Devos, D.B. Lowry, D.S. Rokhsar, J. Grimwood, T.E. Juenger, J. Schmutz. 2021. Genomic mechanisms of climate adaptation in polyploid bioenergy switchgrass. Nature 590:438-444.  DOI: 10.1038/s41586-020-03127-1

Cohen, I., S.I. Zandalinas, C. Huck, F.B. Fritschi, and R. Mittler. 2021. Meta-analysis of drought and heat stress combination impact on crop yield and yield components. Physiologia Plantarum 171:66-76. DOI: 10.1111/ppl.13203

Guo, Y., and F.B. Fritschi. 2021. Influence of manganese availability on switchgrass and pearl millet biomass production. Crop Science 61:643-656. DOI: 10.1002/csc2.20310

Sen, S., T. McCubbin, S.K. King, L.A. Greeley, S. Zeng, C. Becker, R. Mertz, N.D. Niehues, J.T. Stemmle, F.B. Fritschi, D.M. Braun, S.C. Peck, M. Oliver, R.E. Sharp, and T. Joshi. 2020. A multiomics discriminatory analysis approach to identify drought-related signatures in maize nodal roots. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, South Korea pp. 1856-1861. DOI: 10.1109/BIBM49941.2020.9313382

Griffiths, M., S. Roy, H. Guo, A. Seethepalli, D. Huhman, Y. Ge, R.E. Sharp, F.B. Fritschi, and L.M. York. 2021. A multiple ion-uptake phenotyping platform reveals shared mechanisms that affect nutrient uptake by maize roots. Plant Physiology 185:781-795. DOI: 10.1093/pslphys/kiaa080

Kiniry, J.R., C.E. Arthur, K. Banick, F.B. Fritschi, Y. Wu, and C.V. Hawkes. 2020. The effects of plant-soil feedback on switchgrass productivity depend on microbial origin. Agronomy 2020, 10(12) 1860; DOI: 10.3390/agronomy10121860

Cohen, I., S.I. Zandalinas, F.B. Fritschi, S. Sengupta, Y. Fichman, R.K. Azad, and R. Mittler. 2020. The impact of water deficit and heat stress combination on the molecular response, physiology and seed production of soybean. Physiologia Plantarum 2020:1-12. DOI: 10.1111/ppl.13269

Bazzer, K., J.D. Ray, J.R. Smith, F.B. Fritschi, and L.C. Purcell. 2020. Mapping quantitative trait loci (QTL) for plant nitrogen isotope ratio (δ15N) in soybean. Euphytica 216:191. DOI: 10.1007/s10681-020-02726-3

Donahue, J.M., H. Bai, H.I. T. Almtarfi, H. Zakeri, and F.B. Fritschi. 2020. The quantity of nitrogen derived from symbiotic N fixation but not the relative contribution of N fixation to total N uptake increased with breeding for greater soybean yields. Field Crops Research 259 (2020) 107945. DOI: 10.1016/j.fcr.2020.107945

Casado-García, A., A. Bilbao-Kareaga, A. del-Canto, F.B. Fritschi, J. Heras, M. Lacuesta, J. Miranda-Apocaca, A. Muñoz-Rueda, U. Pérez-López, A. Sanz-Saez, A. Yoldi-Achalandabaso. 2020. LabelStoma: A tool for measuring stomatal density based on the YOLO algorithm. Computers and Electronics in Agriculture 178 (2020) 105751. DOI: 10.1016/j.compag.2020.105751

Maw, M.J.W., J.H. Houx, III., and F.B. Fritschi. 2020. Nitrogen fertilization of high biomass sorghum affects macro-and micronutrient accumulation and tissue concentrations. Industrial Crops and Products 156 (20220) 112819. DOI: 10.1016/j.indcrop.2020.112819

Soba, D., T. Shu, G.B. Runion, S.A. Prior, F.B. Fritschi, I. Aranjuelo, and A. Sanz-Saez. 2020. Effects of elevated [CO2] on photosynthesis and seed yield parameters in two soybean genotypes with contrasting water use efficiency. Environmental and Experimental Botany 178 (2020) 104154. DOI: 10.1016/j.envexpbot.2020.104154

Zandalinas, S.I., I. Cohen, F.B. Fritschi, and R. Mittler. 2020. Coordinated systemic stomatal responses in a crop plant. Plant Physiology 183:1428-1431. DOI: 10.1104.20.00511

Yu, G., A. Zare, H. Sheng, R. Matamala, J. Reyes-Cabrera, F.B. Fritschi, and T.E. Juenger. 2020. Root identification in minirhizotron imagery with multiple instance learning. Machine Vision and Applications (2020) 31:43. DOI: 10.1007/s00138-020-01088-z

Xu, W., G. Yu, A. Zare, B. Zurweller, D.L. Rowland, J. Reyes-Cabrera, F.B. Fritschi, R. Matamala, and T.E. Juenger. 2020. Overcoming small minirhizotron datasets using transfer learning. Computers and Electronics in Agriculture. 175 (2020) 105466

Maimaitijiang, M., V. Sagan, P. Sidike, A.M. Daloye, H. Erkbol, and F.B. Fritschi. 2020. Crop monitoring using satellite/UAV data fusion and machine learning. Remote Sensing 12(9), 1357. DOI: 10.3390/rs12091357

Bazzer, S.K., A.S. Kaler, J.D. Ray, J.R. Smith, F.B. Fritschi, and L.C. Purcell. 2020. Identification of quantitative trait loci for carbon isotope ratio (α13C) in a recombinant inbred population of soybean. Theoretical and Applied Genetics 133:2141-2155. DOI: 10.1007/s00122-020-03586-0

VanWallendael, A., J. Bonnette, T. E. Juenger, F.B. Fritschi, P.A. Fay, R.B. Mitchell, J. Lloyd-Reilley, F.M. Rouquette Jr., G.C. Bergstrom, and D.B. Lowry. 2020. Geographic variation in the genetic basis of resistance to leaf rust between locally adapted ecotypes of the biofuel crop switchgrass (Panicum virgatum). New Phytologist 227:1696-1708. DOI: 10.1111/nph.16555

Kaler, A.S., H. Abdel-Haleem, F.B. Fritschi, J.D. Gillman, J.D. Ray, J.R. Smith, and L.C. Purcell. 2020. Genome-wide association mapping of dark green color index (DGCI) using a diverse panel of soybean accessions. Scientific Reports 10:5166. Doi: 10.1038/s41598-020-62034-7

Herritt, M., and F.B. Fritschi. 2020. Characterization of photosynthetic phenotypes and chloroplast ultrastructural changes of soybean (Glycine max) in response to elevated air temperatures. Frontiers in Plant Science 11:153. DOI: 10.3389fpls.2020.00153.

Seethepalli, A., H. Guo, X. Liu, M. Griffiths, H. Almtarfi, Z. Li, S. Liu, A. Zare, F.B. Fritschi, E.B. Blancaflor, X.-F. Ma, and L.M. York. 2020. RhizoVision Crown: An integrated hardware and software platform for root crown phenotyping. Plant Phenomics 2020, 3074916. DOI:10.34133/2020/3074916

Maimaitijiang, M., V. Sagan, P. Sidike, S. Hartling, F. Esposito, and F.B. Fritschi. 2020. Soybean yield prediction from UAV using multimodal data fusion and deep learning. Remote Sensing of Environment 237 (2020) 111599. DOI:10.1016/j.rse.2019.111599

Owen, R.K., E.B. Webb, D. Haukos, F.B. Fritschi, and K.W. Goyne. 2020. Barnyardgrass (Echinochloa crusgalli) emergence and growth in a changing climate in great plains wetlands. Wetlands Ecology and Management 28:35-50. DOI: 10.1007/s11273-019-09693-0

Zandalinas, S.I., F.B. Fritschi, and R. Mittler. 2020. Signal transduction networks during stress combination. Journal of Experimental Botany. 71:1734-1741. DOI: 10.1093/jxb/erz486

Balfagón, D., A. Gómez-Cadenas, F.B. Fritschi, S. Sengupta, R.K. Azad, R. Mittler, and S.I. Zandalinas. 2019. Jasmonic acid is required for plant acclimation to a combination of high light and heat stress. Plant Physiology 181:1668-1682. DOI: 01.1104/pp.19.00956

Gillman, J.D., J.J. Biever, S. Ye, W.G. Spollen, S.A. Givan, Z. Lyu, T. Joshi, J.R. Smith, and F.B. Fritschi. 2019. A seed germination transcriptomic study contrasting two soybean genotypes that differ in terms of their tolerance to the deleterious impacts of elevated temperatures during seed filling.  BMC Research Notes 12:522. DOI:10.1186/s13104-019-4559-7

Manley, P.V., V. Sagan, F.B. Fritschi, and J.G. Burken. 2019. Remote sensing of explosives-induced stress in plants: Hyperspectral imaging analysis for remote detection of unexploded threats. Remote Sensing 11:1827. Doi:10.3390/rs11151827

Sanz-Saez, A., M.J.W. Maw, J.A. Polania, I.M. Rao, S.E. Beebe, and F.B. Fritschi. 2019. Using carbon isotope discrimination to assess genotypic differences in drought resistance of parental lines of common bean (Phaseolus vulgaris L.). Crop Science 59:1-14. Doi: 10.2135/cropsci2019.02.0085

Sagan, V., M. Maimaitijiang, P. Sidike, M. Maimaityiming, H. Erkbol, S. Hartling, K.T. Peterson, J. Burken, and F. Fritschi. 2019. UAV/satellite multiscale data fusion for crop monitoring and early stress detection.  The International Archives of the Photogrametry, Remote Sensing and Spatial Information Sciences XLII-2/W13:715-722: DOI: 10.5194/lsprs-archibes-XLII-2-W13-715-2019

Maw, M.J.W., J.H. Houx III., and F.B. Fritschi. 2019. Nitrogen content and use efficiency of sweet sorghum grown in the lower Midwest. Agronomy Journal 111:2920-2928. DOI: 10.2134/agronj2018.08.0489.

Shafiekhani, A., F.B. Fritschi, and G.N. DeSouza. 2019. VisND: A visualization tool for multidimensional model of canopy.  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. CVPR 2019.

Lowry, D.B., J.T. Lovell, L. Zhang, J. Bonnette, P.A. Fay, R.B. Mitchell, J. Lloyd-Reilley, A.R. Boe, Y. Wu, F.M. Rouguette, Jr., R.L. Wynia, X. Weng, K.D. Behrman, A. Healey, K. Barry, A. Lipzen, D. Bauer, A. Sharma, J.W. Jenkins, J. Schmutz, F.B. Fritschi, and T.E. Juenger. 2019. QTL x environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient.  Proceedings of the National Academy of Sciences 116:12933-12941. DOI: 10.1073/pnas.1821543116

Maimaitijiang, M., V. Sagan, P. Sidike, M. Maimaitiyiming, S. Hartling, K.T. Peterson, M. Maw, N. Shakoor, T. Mockler, and F.B. Fritschi. 2019. Vegetation index weighted canopy volume model (CVMVI) for soybean biomass estimation from unmanned aerial system-based RGB imagery.  ISPRS Journal of Photogrammetry and Remote Sensing 151:27-41. DOI: 10.1016/j.isprsjprs.2019.03.003

Liu, S., M. Remley, R.L. Nichols, and F.B. Fritschi. 2019. Morphological traits underlying differences in early vigor among four cotton genotypes. Crop Science 59:1165-1181. DOI:10.2135/cropsci2018.10.0611

Sagan, V., M. Maimaitijiang, P. Sidike, K. Eblimit, K.T. Peterson, S. Hartling, F. Esposito, K. Khanal, M. Newcomb, D. Pauli, R. Ward, F. Fritschi, N. Shakoor, and T. Mockler. 2019. UAV-based high resolution thermal imaging for vegetation monitoring, and plant phenotyping using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap cameras. Remote Sensing 11:330. DOI:10.3390/rs11030330

Maw, M.J.W., K. Goyne, and F.B. Fritschi. 2019. Soil carbon changes following conversion to annual biofuel feedstocks on marginal lands. Agronomy Journal 111:4-13. DOI: 10.2134/agronj2018.01.0015

Liu, S., R.L. Nichols, and F.B. Fritschi. 2019. Characterization of seedling traits associated with early vigor in diverse cotton genotypes. Crop Science 59:1-10.

Sidike, P., V. Sagan, M. Maimaitijiang, M. Maimaitiyiming, N. Shakoor, J. Burken, T. Mockler, and F.B. Fritschi. 2019. dPEN: Deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery. Remote Sensing of Environment 221:756-772.

Ning, P., Y. Peng, and F.B. Fritschi. 2018. Carbohydrate dynamics in maize leaves and developing ears in response to nitrogen application. Agronomy 8:302.

Acharya, M., D. Burner, A.J. Ashworth, F.B. Fritschi, T.C. Adams. 2018. Growth rate of Giant Miscanthus (Miscanthus x giganteus) and Giant Reed (Arundo donax) in a low-input system in Arkansas, USA. American Journal of Plant Sciences. 9: 2371-2384.

Herritt, M., A.P. Dhanapal, L.C. Purcell, and F.B. Fritschi. 2018. Identification of genomic loci associated with 21 chlorophyll fluorescence phenotypes by genome-wide association study in soybean.  BMC Plant Biology 18:312. DOI: 10.1186/s12870-018-1517-9

Lepcha, I., H.D. Naumann, F.B. Fritschi, and R.L. Kallenbach. 2018. Herbage accumulation, nutritive value, and regrowth potential of sunn hemp at different harvest regimens and maturity. Crop Science 56:1-9.

Kaler, A., S. Bazzer, S., A. Sanz-Saez, J.D. Ray, F.B. Fritschi, and L. Purcell. 2018. Carbon isotope ratio fractionation among plant tissues of soybean. Plant Phenome J. 1:180002. Doi:10.2135/tppj2018.04.0002

Djanaguiraman, M., W. Schapaugh, F.B. Fritschi, H. Nguyen, and P.V.V. Prasad. 2018. Reproductive success of soybean (Glycine max L. Merril) cultivars and exotic lines under high daytime temperature. Plant, Cell & Environment 42:321-336. DOI: 10.1111/pce.13421

Dhanapal, A.P., J.D. Ray, J.R. Smith, L.C. Purcell, and F.B. Fritschi. 2018. Identification of novel genomic loci associated with soybean shoot tissue macro- and micronutrient concentrations. Plant Genome 11:170066. DOI: 10.3835/plantgenome2017.07.0066.

Ning, P., L. Yang, C. Li, and F.B. Fritschi. 2018. Post-silking carbon partitioning under nitrogen deficiency revealed sink limitation of grain yield in maize. J. Exp. Bot. 69:1707-1719. DOI: 10.1093/jxb/erx496

Lindsay, K.R, M.P. Popp, C.P. West, A.J. Ashworth, A. Caldeira Rocateli, R. Farris, V.G. Kakani, F.B. Fritschi, V.S. Green, M.W. Alison, M.J. Maw, and L. Acosta-Gamboa. 2018. Harvest time effects on switchgrass moisture content, nutrient concentration, yield, and profitability. Biomass and Bioenergy 108:74-89. DOI: 10.1016/j.biombioe.2017.09.017

Maimaitijiang, M., A. Ghulam, P. Sidike, S. Hartling, M. Maimaitiyiming, K. Peterson, E. Shavers, J. Fishman, J. Peterson, J. Burken, F.B. Fritschi. 2017. Unmanned aerial system (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine. ISPRS Journal of Photogrammetry and Remote Sensing 134:43-58.

Maw, M.J.W., J.H. Houx, III., and F.B. Fritschi. 2017. Maize, sweet sorghum, and high biomass sorghum production on marginal lands in the Midwest. Biomass and Bioenergy 107:164-171.

Kaler, A.S., A.P. Dhanapal, J.D. Ray, C.A. King, F.B. Fritschi, and L.C. Purcell. 2017. Genome-wide association mapping of carbon isotope and oxygen isotope ratios in diverse soybean genotypes. Crop Science 57:3085-3100.

Burner, D.M., A.L. Hale, R.P. Viator, D.P. Belesky, J.H. Houx, III, A.J. Ashworth, and F.B. Fritschi. 2017. Ratoon cold tolerance of Pennisetum and Saccharum bioenergy feedstocks. Industrial Crops and Products 109:327-334. DOI: 10.1016/j.indcrop.2017.08.020

Singh, S.K., J.H. Houx III., M.J.W. Maw, and F.B. Fritschi. 2017. Assessment of growth, leaf N, and chlorophyll in sweet sorghum using canopy reflectance. Field Crops Research. 209:47-57.

Kadam, S., A. Abril, A.P. Dhanapal, R.P. Koester, W. Vermerris, S. Jose, and F.B. Fritschi. 2017. Characterization and regulation of aquaporin genes sorghum [Sorghum bicolor (L.) Moench] in response to waterlogging stress. Frontiers in Plant Science 8:862. DOI: 10.3389/fpls.2017.00862.

Peng, N., F.B. Fritschi, and C. Li. 2017. Temporal dynamics of post-silking nitrogen fluxes and their effects on grain yield in maize under low to high nitrogen inputs. Field Crops Research 204:249-259. DOI: 10.1016/j.fcr.2017.01.022

Burner, D.M., A.J. Ashworth, D.H. Pote, J.R. Kiniry, D.P. Belesky, J.H. Houx III, P. Carver, and F.B. Fritschi. 2017. Dual-use bioenergy-livestock feed potential of giant miscanthus, giant reed, and miscane. Agricultural Sciences 8:97-112. DOI:10.4236/as.2017.81008

Shafiekhani, A., S. Kadam, F.B. Fritschi, and G.N. DeSouza. 2017. Vinobot and Vinoculer: Two robotic platforms for high-throughput field phenotyping. Sensors 17:214. DOI:10.3390/s17010214

Shafiekhani, A., A.P. Dhanapal, J.D. Gillman, F.B. Fritschi, and G.N. DeSouza. 2017. Automatic classification of wrinkle levels in seed coat using relevance vector machine. 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, pp. 1-7. Doi:10.1109/AIPR.2017.8457939

Ho Le Thi, H. Zhou, C.-H. Lin, S. Liu, N.T. Cuong, M.Y. Berezin, R.J. Smeda, and F.B. Fritschi. 2017. Synthesis and plant growth inhibitory activity of N-trans-cinnamoyltyramine – Its possible inhibition mechanisms and biosynthesis pathway. Journal of Plant Interactions 12:51-57. DOI: 10.1080/17429145.2016.1278050

Kim, S. J.R. Kiniry, A. Williams, M.N. Meki, L.A. Gaston, M. Brakie, A. Shadow, F.B. Fritschi, and Y. Wu. 2017. Adaptation of C4 bioenergy crop species to various environments within the Southern Great Plains of USA. Sustainability 9:89. DOI 10.3390/su9010089.

Maw, M.J.W., J.H. Houx, III, and F.B. Fritschi. 2017. Nitrogen use efficiency and yield response of high biomass sorghums grown in the lower Midwest. Agronomy Journal 109:1-7.

Dhanapal, A.P., J.D. Ray, S.K. Singh, V. Hoyos-Villegas, J.R. Smith, L.C. Purcell, and F.B. Fritschi. 2016. Genome-wide association mapping of soybean chlorophyll traits based on canopy spectral reflectance and leaf extracts. BMC Plant Biology 16:174.  DOI 10.1186/s12870-016-0861-x

Peng, Y., X. Zeng, J.H. Houx, III, D.L. Boardman, C. Li, and F.B. Fritschi. 2016. Pre- and post-silking carbohydrate concentrations in maize ear-leaves and developing ears in response to nitrogen availability. Crop Science 56:3218-3227. DOI:10.2135/cropsci2016.03.0183.

Weeks, W., M.P. Popp, M. Salmeron, L.C. Purcell, E.E. Gbur, F.M. Bourland, N.W. Buehring, L. Earnest, F.B. Fritschi, B.R. Golden, D. Hathcoat, J. Lofton, A. Thompson McClure, T.D. Miller, C. Neely, G. Shannon, T.K. Udeigwe, D.A. Verbree, E.D. Vories, W.J. Wiebold, and B.L. Dixon. 2016. Diversifying soybean production risk using maturity group and planting date choices. Agronomy Journal 108:1917-1929.

Houx, J.H., III, W.J. Wiebold, and F.B. Fritschi. 2016. Long term tillage treatment effects on corn grain nutrient composition and yield. Field Crop Research 191:33-40. DOI: 10.1016/j.fcr.2016.04.002

Herritt, M., A.P. Dhanapal, and F.B. Fritschi. 2016. Identification of genomic loci associated with the photochemical reflectance index by genome-wide association analysis in soybean.  Plant Genome 9:1-12. DOI: 10.3835/plantgenome2015.08.0072

Maw, M.J.W., J.H. Houx, III, and F.B. Fritschi. 2016. Sweet sorghum ethanol yield component response to nitrogen fertilization. Industrial Crops and Products 84:43-49.

Salmerón, M., E.E. Gbur, F.M. Bourland, N.W. Buehring, L. Earnest, F.B. Fritschi, B.R. Golden, D. Hathcoat, J. Lofton, A. Thompson McClure, T.D. Miller, C. Nelly, G. Shannon, T.K. Udeigwe, D.A. Verbree, E.D. Vories, W.J. Wiebold, and L.C. Purcell. 2016. Yield response to planting date among soybean maturity groups for irrigated production in the US Midsouth. Crop Science 56:1-13. DOI: 10.2135/cropsci2015.07.0466

Chebrolu, K., F.B. Fritschi, S. Ye, H. Krishnan, J.R. Smith, and J.D. Gillman. 2016. Impact of heat stress during seed development on soybean seed metabolome. Metabolomics 12:28. DOI: 10.1007/s11306-015-0941-1.

Ray, J.D., A.P. Dhanapal, S.K. Singh, V. Hoyos-Villegas, J.R. Smith, L.C. Purcell, C.A. King, D.Boykin, P.B. Cregan, Q. Song, and F.B. Fritschi. 2015. Genome-wide association study of ureide concentration in diverse maturity group IV soybean [Glycine max (L.) Merr.] accessions. G3 Genes|Genomes|Genetics, DOI: 10.1534/g3.115.021774.

Dhanapal, A.P., J.D. Ray, S. Singh, V. Hoyos-Villegas, J.R. Smith, L.C. Purcell, C.A. King, and F.B. Fritschi. 2015. Association mapping of total leaf carotenoids in diverse soybean [Glycine max (L.) Merr.] genotypes based on leaf extracts and canopy spectral reflectance. PLoS ONE, 10(9):e137213.

Burner, D.M., A.L. Hale, P. Carver, D.H. Pote, and F.B. Fritschi. 2015. Biomass yield comparisons of giant miscanthus, giant reed, and sugarcane grown under irrigated and rainfed conditions. Industrial Crops and Products 76:1025-1032.

Houx, J.H., III., and F.B. Fritschi. 2015. Influence of late planting on light interception, radiation use efficiency and biomass production of four sweet sorghum cultivars. Industrial Crops and Products 76:62-68.

Dhanapal, A., J.D. Ray, S.K. Singh, V. Hoyos-Villegas, J.R. Smith, L.C. Purcell, C.A. King, and F.B. Fritschi. 2015. Genome-wide association analysis of diverse soybean genotypes reveals novel markers for nitrogen derived from atmosphere, nitrogen concentration, and carbon/nitrogen ratio. The Plant Genome 8(3):1-15. DOI 10.3835/plantgenome201.

Liu, S., M. Remley, F.M. Bourland, R.L. Nichols, W.E. Stevens, A. Phillips Jones, and F.B. Fritschi. 2015. Early vigor of advanced breeding lines and modern cotton cultivars.  Crop Science 55:1-12.

Dhanapal, A., J.D. Ray, S.K. Singh, V. Hoyos-Villegas, J.R. Smith, L.C. Purcell, C.A. King, P.B. Cregan, Q. Song, F.B. Fritschi. 2015. Genome-wide association study (GWAS) of carbon isotope ratio (δ13C) in diverse soybean [Glycine max (L.) Merr.] genotypes. Theoretical and Applied Genetics 128:73-91. DOI 10.1007/s00122-014-2413-9.

Roberts, B.A., F.B. Fritschi, W.R. Horwath, S. Bardhan. 2015. Nitrogen mineralization potential as influenced by microbial biomass, cotton residues and temperature. Journal of Plant Nutrition 38:311-324.

Valliyodan, B., T.T. VanToai, J.D. Alves, P. de Fátima P. Goulart, J.D. Lee, F.B. Fritschi, M.A. Rahman, J.G. Shannon, H.T. Nguyen. 2014. Expression of root-related transcription factors associated with flooding tolerance of soybean (Glycine max). International Journal of Molecular Sciences 15:17622-17643.

Thi, H.L., C.-H. Lin, R.J. Smeda, N.D. Leigh, W.G. Wycoff, and F.B. Fritschi. 2014. Isolation and identification of an allelopathic phenylethylamine in rice. Phytochemistry 108:109-121.

Salmeron, M., E.E. Gbur, F.M. Bourland, N.W. Buehring, L. Earnest, F.B. Fritschi, B. Golden, D. Hathcoat, J. Lofton, T.D. Miller, C. Nelly, G. Shannon, T. Udeigwe, D.A. Verbree, E.D. Vories, W.J. Wiebold, and L.C. Purcell. 2014. Soybean maturity group choices for early- and late-plantings in the US Midsouth. Agronomy Journal 106:1893-1901.

Thi, H.L., C.-H. Lin, R.J. Smeda, and F.B. Fritschi. 2014. Isolation and purification of growth-inhibitors from Vietnamese rice cultivars. Weed Biology and Management 14:221-231.

Hoyos-Villegas, V., J.H. Houx III, S.K. Singh, and F.B. Fritschi. 20014. Ground-based digital imaging as a tool to assess soybean growth and yield. Crop Science 54:1-13. DOI: 10.2135/cropsci2013.08.0540

Houx, J.H., III., W.J. Wiebold, and F.B. Fritschi. 2014. Rotation and tillage affect soybean grain composition, yield, and subsequent nutrient removal. Field Crops Research 164:12-21.

Dhakal, K.H., M.-G. Choung, Y.-S. Hwang, F.B. Fritschi, J.G. Shannon, and J.-D. Lee. 2014. Selection of high lutein concentration soybeans and their environmental stability. Plant Genetic Resources: Characterization and Utilization 12:S12-S16.

Hoyos-Villegas, V., and F.B. Fritschi. 2013. Relationships among vegetation indices derived from aerial photographs and soybean growth and yield. Crop Science 53:2631-2642.

Houx, J.H., III., and F.B. Fritschi. 2013. Influence of midsummer planting dates on ethanol production potential of sweet sorghum. Agronomy Journal 105:1761-1768.

Bardhan, S., S. Jose, R.P. Udawatta, and F.B. Fritschi. 2013. Microbial community diversity in a 21-year-old temperate alley cropping system. Agroforestry Systems 87:1031-1041. DOI:10.1007/s10457-013-9617-x

Singh, S.K., V. Hoyos-Villegas, J.D. Ray, J.R. Smith, and F.B. Fritschi. 2013. Quantification of leaf pigments in soybean (Glycine max (L.) Merr.) based on wavelet decomposition of hyperspectral features. Field Crops Research 149:20-32.

Kiniry, J.R., L.C. Anderson, M.-V.V. Johnson, K.D. Behrman, M. Brakie, D. Burner, R.L. Cordsiemon, P.A. Fay, F.B. Fritschi, J.H. Houx III, C. Hawkes, T. Juenger, J. Kaiser, T.H. Keitt, J. Lloyd-Reilley, S. Maher, R. Raper, A. Scott, A. Shadow, C. West, Y. Wu, and L. Zibilske. 2013. Perennial biomass grasses and the Mason-Dixon line: comparative productivity across latitudes in the Southern Great Plains. BioEnergy Research 6:276-291. DOI 10.1007/s12155-012-9254-7

Peng, Y., C. Li, and F.B. Fritschi. 2013. Apoplastic infusion of sucrose into stem internodes during female flowering does not increase grain yield in maize plants grown under nitrogen limiting conditions. Physiologia Plantarum 148:470-480. DOI 10.1111/j.1399-3054.2012.01711.x

Houx, J.H., III., C.A. Roberts, and F.B. Fritschi. 2013. Evaluation of sweet sorghum bagasse as an alternative livestock feed. Crop Sci. 53:1784-1790.

Fritschi, F.B., J.D. Ray, L.C. Purcell, C.A. King, J.R. Smith, and D.V. Charlson. 2013. Diversity and implications of soybean stem nitrogen concentration.  Journal of Plant Nutrition 36:2111-2131. DOI 10.1080/01904167.2012.748800

Houx, J.H., III., R.L. McGraw, H.E. Garrett, R.L. Kallenbach, F.B. Fritschi and W. Rogers. 2013. Extent of vegetation-free zone necessary for silvopasture establishment of eastern black walnut seedlings in tall fescue. Agroforestry Systems 87:73-80. DOI 10.1007/s10457-012-9523-7

Houx, J.H., III., R.L. McGraw, H.E. Garrett, R.L. Kallenbach, and F.B. Fritschi. 2012. Temperate silvopasture tree establishment and growth as influenced by forage species and cultural management practices. Journal of Agricultural Science 4:20-30.

Singh, S.K., V. Hoyos-Villegas, and F.B. Fritschi. 2012. Influence of artificially restricted rooting depth on soybean yield and seed quality under field conditions. Agricultural Water Management. 105:38-47.

Ray, J.D., J.R. Smith, E. Taliercio, and F.B. Fritschi. 2012. Genomic location of a gene conditioning a miniature phenotype in soybean. Journal of Plant Biology 55:26-32.

Roberts, B.A., F.B. Fritschi, W.R. Horwath, K.M. Scow, D.W. Rains, R.L. Travis. 2011. Influence of soil texture, crop rotation and nitrogen fertility on a soil microbial community. Soil Science 176:487-494.

Roberts, C.A., Houx, J.H., III., and F.B. Fritschi. 2011. Near-infrared analysis of sweet sorghum bagasse. Crop Science 51:2284-2288.

Wang, C., F.B. Fritschi, and G. Stacey. 2011. A geospatial approach to mapping energy crops in North American tallgrass prairie. Annals of the Association of American Geographers 101:1-10.

Houx, J.H., III., W.J. Wiebold, and F.B. Fritschi. 2011. Long-term tillage and crop rotation treatments influence mineral nutrient distribution in a Vertic Epiaqualf. Soil and Tillage Research 112:27-35.

Houx, J.H., III., R.L. McGraw, F.B. Fritschi, N.E. Navarette-Tindall. 2009. Effects of shade on growth and nodulation of three native legumes with potential for use in agroforestry. Native Plants Journal 10:233-238.

Fritschi, F.B., H. Lin, and M.A. Walker. 2008. Scanning electron microscopy reveals different response pattern of four Vitis genotypes to Xylella fastidiosa infection. Plant Disease 92:276-286.

Fritschi, F.B., J.C. Cabrera-La Rosa, R.L. Groves, H. Lin, and M.W. Johnson. 2007. Behavioral responses of Homalodisca vitripennis (Hemiptera: Auchenorrhyncha: Cicadellidae) on four Vitis genotypes. Environmental Entomology. 36:926-937.

Fritschi, F.B., H. Lin, and M.A. Walker. 2007. Xylella fastidiosa population dynamics in grapevine genotypes differing in susceptibility to Pierce’s disease. Am. J. Enol. Vitic. 58:326-332.

Fritschi, F.B., and J.D. Ray. 2007. Soybean leaf nitrogen, chlorophyll content, and chlorophyll a/b ratio. Photosynthetica 45:92-98.

Ray, J.D., F.B. Fritschi, and L.G. Heatherly. 2006. Large early season fertilizer N application affects protein and oil concentration in soybean seed. Field Crops Res. 99:67-74.

Ray, J.D., L.G. Heatherly, and F.B. Fritschi. 2006. Influence of large amounts of nitrogen on nonirrigated and irrigated soybean. Crop Science 46:52-60.

Fritschi, F.B., B.A. Roberts, D.W. Rains, and R.L. Travis. 2005. Nitrogen recovery from 15N-labeled incorporated cotton residues and recovery of residual fertilizer N by Acala and Pima cotton. Soil Science Society of America Journal 69:718-728.

Fritschi, F.B., B.A. Roberts, D.W. Rains, R.L. Travis, and R.B. Hutmacher. 2004. Fate of nitrogen-15 applied to irrigated Acala and Pima cotton. Agronomy Journal 96:646-655.

Fritschi, F.B., B.A. Roberts, R.L. Travis, D.W. Rains, and R.B. Hutmacher. 2004. Seasonal nitrogen concentration, uptake, and partitioning pattern of irrigated Acala and Pima cotton as influenced by nitrogen fertility level. Crop Science 44:516-527.

Hutmacher, R.B., R.L. Travis, D.W. Rains, R.N. Vargas, B.A. Roberts, B.L. Weir, S.D. Wright, D.S. Munk, B.H. Marsh, M.P. Keeley, F.B. Fritschi, D.J. Munier, R.L. Nichols, and R. Delgado. 2004. Response of recent Acala cotton varieties to variable nitrogen rates in the San Joaquin Valley of California. Agronomy Journal 96:48-62.

Fritschi, F.B., B.A. Roberts, R.L. Travis, D.W. Rains, and R.B. Hutmacher. 2003. Response of irrigated Acala and Pima cotton to N fertilization: growth, dry matter partitioning, and yield. Agronomy J. 95:133-146.

Hutmacher, R.B., R.L. Travis, R.L. Nichols, D.E. Rains, B.A. Roberts, B.L. Weir, R.N. Vargas, B.H. Marsh, S.D. Wright, D.S. Munk, D.J. Munier, M.P. Keeley, F. Fritschi, R.L. Delgado, and S. Perkins. 2001. Response of Acala cotton to nitrogen rates in the San Joaquin Valley of California. In Optimizing Nitrogen Management in Food and Energy Production and Environmental Protection: Proceedings of the 2nd International Nitrogen Conference on Science and Policy. TheScientificWorld 1.

Fritschi, F.B., K.J. Boote, L.E. Sollenberger, and L.H. Allen, Jr. 1999. Carbon dioxide and temperature effects on forage establishment: Tissue composition and nutritive value. Global Change Biology 5:743-753.

Fritschi, F.B., K.J. Boote, L.E. Sollenberger, L.H. Allen, Jr., and T.R. Sinclair. 1999. Carbon dioxide and temperature effects on forage establishment: Photosynthesis and biomass production. Global Change Biology 5:441-453.