Kyle Colton Flynn
Grassland Soil and Water Research Laboratory
RES SOIL SCNTST
Phone: (254) 727-3034
Fax:
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Publications
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Laser penetration and intensity LiDAR-based plant height and LAI estimations of corn
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LiDAR-based estimation of corn (Zea Mays L.) plant height and leaf area index across multiple planting dates
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Optimizing corn yield through strategic nitrogen application
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From reflectance to yield: Understanding corn production metrics
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A meta-analysis to understand the combined effect of cover cropping and nitrogen fertilization on corn yield in the U.S.
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Enhancing leaf area index estimation with multispectral imagery and machine learning
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Effectiveness of satellite based digital terrain model for estimating crop height from UAV based imagery
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Early seedling counts: Enhancing producer confidence
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Greenhouse gas emissions from corn fields as influenced by cover crop management
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Corn yield response and water use efficiency following cover crop management in rainfed corn production system
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Predicting spatiotemporal patterns of productivity and grazing from multispectral data using neural network analysis based on system complexity
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Ashworth, A.J., Avila, A., Smith, H., Winzeler, E., Owens, P.R., Flynn, K.C., O'Brien, P.L., Philipp, D., Su, J. 2024. Predicting spatiotemporal patterns of productivity and grazing from multispectral data using neural network analysis based on system complexity. Agrosystems, Geosciences & Environment. 7(3). Article e20571. https://doi.org/10.1002/agg2.20571.
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Hyperspectral reflectance and machine learning for multi-site monitoring of cotton growth
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Flynn, K.C., Witt, T.W., Baath, G., H.K., C., Smith, D.R., Gowda, P.H., Ashworth, A.J. 2024. Hyperspectral reflectance and machine learning for multi-site monitoring of cotton growth. Smart Agricultural Technology. 9(2024). 100536. https://doi.org/10.1016/j.atech.2024.100536.
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Evaluating maize (Zea mays L.) management practices implementing sensitivity analysis of vegetation indices
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Flynn, K.C., Smith, D.R., Lee, T.O., Martinez, D.L., Ma, S.R., Zhou, Y. 2024. Evaluating maize (Zea mays L.) management practices implementing sensitivity analysis of vegetation indices. Soil and Tillage Research. 244. 106266. https://doi.org/10.1016/j.still.2024.106266.
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The LTAR cropland common experiment at the Texas Gulf
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Yost, J.L., Smith, D.R., Adhikari, K., Arnold, J.G., Collins, H.P., Flynn, K.C., Hajda, C.B., Menefee, D.S., Mohanty, B.P., Schantz, M.C., Thorp, K.R., White, M.J. 2024. The LTAR cropland common experiment at the Texas Gulf. Journal of Environmental Quality. https://doi.org/10.1002/jeq2.20592.
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The LTAR-integrated grazing land common experiment at the Texas Gulf
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Schantz, M.C., Smith, D.R., Harmel, R.D., Goodwin, D.J., Tolleson, D.R., Osorio Leyton, J.M., Flynn, K.C., Krecker-Yost, J.L., Thorp, K.R., Arnold, J.G., White, M.J., Adhikari, K., Hajda, C.B. 2024. The LTAR-integrated grazing land common experiment at the Texas Gulf. Journal of Environmental Quality. https://doi.org/10.1002/jeq2.20573.
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Forage yield and nutritive value of summer legumes as affected by row spacing and harvest timing
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Baath, G.S., Sarkar, S., Sapkota, B., Flynn, K.C., Northup, B.K., Gowda, P.H. 2023. Forage yield and nutritive value of summer legumes as affected by row spacing and harvest timing. Farming System. https://doi.org/10.1016/j.farsys.2023.100069.
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Machine learning algorithms improve MODIS GPP estimates in United States croplands
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Menefee, D.S., Lee, T.O., Flynn, K.C., Chen, J., Abraha, M., Baker, J.M., Suyker, A. 2023. Machine learning algorithms improve MODIS GPP estimates in United States croplands. Frontiers in Remote Sensing. 4. Article 1240895. https://doi.org/10.3389/frsen.2023.1240895.
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Hyperspectral reflectance and machine learning to monitor legumes for feed quality
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Biophysical feedback of grassland-cropland conversion on regional climate in the U.S. Great Plains
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A site suitability analysis for castor (Ricinus communis L.) production during Brazil’s second harvest incorporating disease prediction
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Witt, T.W., Flynn, K.C., Zoz, T., Monteiro, J. 2023. A site suitability analysis for castor (Ricinus communis L.) production during Brazil’s second harvest incorporating disease prediction. Heliyon. 9(8). Article e18981. https://doi.org/10.1016/j.heliyon.2023.e18981.
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Hyperspectral reflectance and machine learning to monitor legume biomass and nitrogen accumulation
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Flynn, K.C., Baath, G., Lee, T.O., Gowda, P.H., Northup, B.K. 2023. Hyperspectral reflectance and machine learning to monitor legume biomass and nitrogen accumulation. Computers and Electronics in Agriculture. 211. Article 107991. https://doi.org/10.1016/j.compag.2023.107991.
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Manureshed cross-site experiment to advance the understanding of manure sources and management practices adopted in the US agriculture systems
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Accessing the impact of dairy manure on greenhouse gas emissions under biochar and tillage practices
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Summer pulses as sources of green manure and soil cover in the U.S. Southern Great Plains
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Baath, G., Sarker, S., Northup, B.K., Sapkota, B., Gowda, P.H., Flynn, K.C. 2023. Summer pulses as sources of green manure and soil cover in the U.S. Southern Great Plains. Agronomy Journal. 2(2):66-74. https://doi.org/10.1016/j.crope.2023.04.001.
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Cooling effects of increased green fodder area on native grassland in the northeastern Tibetan Plateau
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Liu, W., Zhou, Y., Dong, J., Zhang, G., Yang, T., You, N., Flynn, K.C., Wagle, P., Yang, H. 2023. Cooling effects of increased green fodder area on native grassland in the northeastern Tibetan Plateau. Environmental Research Letters. 18(6). Article 064006. https://doi.org/10.1088/1748-9326/acc9d3.
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Distribution of livestock sectors in Canada: Implications for manureshed management
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Bittman, S., Worth, D., Hunt, D.E., Spiegal, S.A., Kleinman, P.J., Vendramini, J., Silveira, M., Flynn, K.C., Reid, K., Martin, T., Vanderzaag, A., Javorek, S., Nanayakkara, S. 2023. Distribution of livestock sectors in Canada: Implications for manureshed management. Journal of Environmental Quality. 52(3):596-609. https://doi.org/10.1002/jeq2.20457.
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Associations between primary residence and mental health in global marginalized populations
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Knutson, D., Irgens, M.S., Flynn, K.C., Norvilitis, J., Bauer, L.M., Berkessel, J.B., Cascalheira, C., Cera, J.L., Choi, N., Cuccolo, K., Danielson, D.K., Dascano, K.N., Edlund, J.E., Fletcher, T., Flinn, R., Gosnell, C.L., Heermans, G., Horne, M., Howell, J.L., Hua, J., Ijebor, E.E., Jia, F., McGullivray, S., Ogba, K., Shane-Simpson, C., Staples, A., Ugwu, C.F., Wang, S.C., Yockey, A., Zheng, Z., Zlokovich, M.S. 2023. Associations between primary residence and mental health in global marginalized populations. Community Mental Health Journal. https://doi.org/10.1007/s10597-023-01088-z.
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Grassland community dynamics are altered within the same growing season following nutrient addition and disturbance
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Rowley, D.W., Fay, P.A., Flynn, K.C., Martina, J.P., Treadwell, M.L., Rogers, W.E. 2023. Grassland community dynamics are altered within the same growing season following nutrient addition and disturbance [abstract]. Society for Range Management Meeting Abstracts, Boise, ID, February 12-16, 2023.
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Mapping grassland plant communities subjected to nutrient influx and disturbance using UAV remote sensing and machine learning
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Rowley, D.W., Fay, P.A., Flynn, K.C., Martina, J.P., Treadwell, M.L., Rogers, W.E. 2023. Mapping grassland plant communities subjected to nutrient influx and disturbance using UAV remote sensing and machine learning [abstract]. Society for Range Management Meeting Abstracts, Boise, ID, February 12-16, 2023.
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UAV remote sensing can detect changes in grassland plant communities subjected to environmental degradation
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Rowley, D.W., Fay, P.A., Flynn, K.C., Jason, M.P., Treadwell, M.L., Rogers, W.E. 2023. UAV remote sensing can detect changes in grassland plant communities subjected to environmental degradation [abstract]. Society for Ecological Restoration Abstracts, Austin, TX, November 17-19, 2022.
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Peanut seed germination detection based on unmanned aerial systems (UAS) and deep learning
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Ma, S., Zhou, Y., Flynn, K.C., Aakur, S. 2023. Peanut seed germination detection based on unmanned aerial systems (UAS) and deep learning [abstract], Washington, DC, October 11-13, 2022.
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Detecting frequent harvest of alfalfa with spatio-temporal fused data
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Manureshed management to overcome longstanding nutrient imbalances in U.S. agriculture
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Flynn, K.C., Spiegal, S.A., Kleinman, P.J., Meinen, R.J., Smith, D.R. 2022. Manureshed management to overcome longstanding nutrient imbalances in U.S. agriculture. Resources Conservation and Recycling. 188. Article 106632. https://doi.org/10.1016/j.resconrec.2022.106632.
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Grassland community dynamics are altered within the same growing season following nutrient addition and disturbance
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Rowley, D.W., Fay, P.A., Flynn, K.C., Martina Jason, P., Treadwell, M.L., Rogers, W.E. 2022. Grassland community dynamics are altered within the same growing season following nutrient addition and disturbance. Society for Range Management Meeting Abstracts [abstract], Denton, TX, October 19-21, 2022.
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Immediate changes to grassland community composition after disturbance and nutrient addition
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Rowley, D.W., Fay, P.A., Flynn, K.C., Martina, J.P., Treadwell, M.L., Rogers, W.E. 2022. Immediate changes to grassland community composition after disturbance and nutrient addition [abstract], North Platte, NE, August 23-25, 2022.
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Reconnecting animal and crop production to reduce fertilizer reliance
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Spiegal, S.A., Kleinman, P.J., Bryant, R., Dell, C., Flynn, C., Meinen, R., Meredith, G., Bitman, S. 2022. Reconnecting animal and crop production to reduce fertilizer reliance. Symposium Proceedings. Abstract.
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Distribution of livestock sectors in Canada: Implications for manureshed management
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Bittman, S., Hunt, D., Worth, D., Spiegal, S.A., Kleinman, P.J., Vendramin, J., Silveira, M., Flynn, K.C., Reid, K., Martin, T., VanderZaag, A. 2022. Distribution of livestock populations and excretion relative to human populations in Canada: Implications for nitrogen circularity. Symposium Proceedings. Abstract.
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Using UAS-multispectral images to predict cord yield under different planting dates
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Sapkota, B., Sarkar, S., Baath, G.S., Flynn, K.C., Smith, D.R. 2022. Using UAS-multispectral images to predict cord yield under different planting dates. ASA-CSSA-SSSA Annual Meeting Abstracts [abstract], Baltimore, MD, November 6-9, 2022.
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Evaluation of cotton emergence using multi-band spectral imagery for organic production systems
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Sarkar, S., Baath, G.S., Arun, B., Sapkota, B., Flynn, K.C., Smith, D.R. 2022. Evaluation of cotton emergence using multi-band spectral imagery for organic production systems. ASA-CSSA-SSSA Annual Meeting Abstracts. Baltimore, MD, November 6-9, 2022.
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Nutrient circularity for sustainability in beef supply chains: Comparing the performance of three manureshed approaches
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Spiegal, S.A., Gwendwr, M., Bittman, S., Silveira, M., Vendramini, J.M., Rotz, C.A., Flynn, K.C., Boggess, M.V., Kleinman, P.J. 2022. Nutrient circularity for sustainability in beef supply chains: Comparing the performance of three manureshed approaches. Waste to Worth Conference. Proceedings.
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Opportunities to implement manureshed management in the Iowa, North Carolina, and Pennsylvania swine industry
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Meinen, R.J., Spiegal, S.A., Kleinman, P.J., Flynn, K.C., Goslee, S.C., Mikesell, R.E., Church, C., Bryant, R.B., Boggess, M.V. 2022. Opportunities to implement manureshed management in the Iowa, North Carolina, and Pennsylvania swine industry. Journal of Environmental Quality. 51(4):510-520. https://doi.org/10.1002/jeq2.20340.
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Challenges and opportunities for manureshed management across U.S. dairy systems: Case studies from four regions
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Dell, C.J., Baker, J.M., Spiegal, S.A., Porter, S.A., Leytem, A.B., Flynn, K.C., Rotz, C.A., Bjorneberg, D.L., Bryant, R.B., Hagevoort, R., Williamson, J., Slaughter, A.L., Kleinman, P.J. 2022. Challenges and opportunities for manureshed management across U.S. dairy systems: Case studies from four regions. Journal of Environmental Quality. 54(4):521-539. https://doi.org/10.1002/jeq2.20341.
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Flood tolerance and flood loss predictions for tepary bean (Phaseolus acutifolius A. Gray) across the United States Southern Great Plains
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Witt, T.W., Flynn, K.C., Villavicencio, C., Northup, B.K. 2022. Flood tolerance and flood loss predictions for tepary bean (Phaseolus acutifolius A. Gray) across the United States Southern Great Plains. Agronomy Journal. 1-11. https://doi.org/10.1002/agj2.21084.
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Biophysical effects of paddy rice expansion on land surface temperature in Northeastern Asia
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Liu, W., Dong, J., Du, G., Zhang, G., Hao, Z., You, N., Zhao, G., Flynn, K.C., Yang, T., Zhou, Y. 2022. Biophysical effects of paddy rice expansion on land surface temperature in Northeastern Asia. Agricultural and Forest Meteorology. 315. Article 108820. https://doi.org/10.1016/j.agrformet.2022.108820.
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Genetic variability and population structure of Ethiopian chickpea (Cicer arietinum L.) germplasm
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Admas, S., Tesfaye, K., Haileselassie, T., Shiferaw, E., Flynn, K.C. 2021. Genetic variability and population structure of Ethiopian chickpea (Cicer arietinum L.) germplasm. PLoS ONE. 16(11). Article e0260651. https://doi.org/10.1371/journal.pone.0260651.
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The potential of active and passive remote sensing to detect frequent harvesting of alfalfa
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Zhou, Y., Flynn, K.C., Gowda, P.H., Wagle, P., Ma, S., Kakani, V.G., Steiner, J.L. 2021. The potential of active and passive remote sensing to detect frequent harvesting of alfalfa. International Journal of Applied Earth Observation and Geoinformation. 104. Article 102539. https://doi.org/10.1016/j.jag.2021.102539.
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Identifying soil managements via hyperspectral remote sensing: A method for determining allocation of manure-based nutrients within potential manuresheds
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Sustainable manure management: Exploring the 'Manureshed' concept in Georgia
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Land use change and collaborative manureshed management in New Mexico
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Spiegal, S.A., Williamson, J., Flynn, K.C., Buda, A.R., Rotz, C.A., Kleinman, P.J. 2021. Land use change and collaborative manureshed management in New Mexico. Journal of Environmental Quality. 51(4):602-613. https://doi.org/10.1002/jeq2.20280.
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Evaluation of chickpea (Cicer arietinum L.) genotypes for tolerance to frost in controlled environment
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Admas, S., Haileselassie, T., Tesfaye, K., Shiferaw, E., Flynn, K.C. 2021. Evaluation of chickpea (Cicer arietinum L.) genotypes for tolerance to frost in controlled environment. Sinet, Ethiopian Journal of Science. 44(2):151-160. https://doi.org/10.4314/sinet.v44i2.2.
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Poultry manureshed management: Opportunities and challenges for a vertically integrated industry
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Bryant, R.B., Endale, D.M., Spiegal, S.A., Flynn, K.C., Meinen, R.J., Cavigelli, M.A., Kleinman, P.J. 2021. Poultry manureshed management: Opportunities and challenges for a vertically integrated industry. Journal of Environmental Quality. 1-12. https://doi.org/10.1002/jeq2.20273.
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The Long-Term Agroecosystem Research network standard GIS data layers
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Armendariz, G., Coffin, A.W., Archer, D.W., Arthur, D.K., Bean, A.R., Browning, D.M., Carlson, B.R., Clark, P., Flynn, K.C., Goslee, S.C., Sclater, V., Sudduth, K.A., Kaplan, N.E., Stinner, J.H., King, K.W., Spiegal, S.A., Hsieh, H., Moglen, G.E., Yasarer, L.M., Kettler, T.A., Schmer, M.R., Teet, S.B., Starks, P.J., Hall, V.O., Wagner, S.W., Johnson, J.M., Holifield Collins, C.D., Kautz, M.A. 2021. The Long-Term Agroecosystem Research network standard GIS data layers. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1521161.
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Evaluation of Ethiopian chickpea (Cicer arietinum L.) genotypes for frost tolerance
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Admas, S., Haileselassie, T., Tesfaye, K., Shiferaw, E., Flynn, K.C. 2021. Evaluation of Ethiopian chickpea (Cicer arietinum L.) genotypes for frost tolerance. Acta Agriculturae Slovenica. 117(2):1-14. https://doi.org/10.14720/aas.2021.117.2.2079.
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Phenotypic variability of chickpea (Cicer arietinum L.) germplasm with temporally varied collection from the Amhara Regional State, Ethiopia
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Admas, S., Tesfaye, K., Haileselassie, T., Shiferaw, E., Flynn, K.C. 2021. Phenotypic variability of chickpea (Cicer arietinum L.) germplasm with temporally varied collection from the Amhara Regional State, Ethiopia. Cogent Food & Agriculture. 7(1). Article 1896117. https://doi.org/10.1080/23311932.2021.1896117.
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Assessing remote sensing vegetation index sensitivities for tall fescue (Schedonorus arundinaceus) plant health with varying endophyte and fertilizer types: A case for improving poultry manuresheds
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Flynn, K.C., Lee, T., Endale, D.M., Franzluebbers, A.J., Ma, S., Zhou, Y. 2021. Assessing remote sensing vegetation index sensitivities for tall fescue (Schedonorus arundinaceus) plant health with varying endophyte and fertilizer types: A case for improving poultry manuresheds. Remote Sensing. 13(3). Article 521. https://doi.org/10.3390/rs13030521.
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Detecting biophysical characteristics and nitrogen status of finger millet at hyperspectral and multispectral resolutions
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Baath, G.S., Flynn, K.C., Gowda, P.H., Kakani, V.G., Northup, B.K. 2021. Detecting biophysical characteristics and nitrogen status of finger millet at hyperspectral and multispectral resolutions. Frontiers in Agronomy. 2. Article 604598. https://doi.org/10.3389/fagro.2020.604598.
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Remote sensing of tall fescue (Lolium arundinaceum) plant health with varying endophyte and fertilizer types: A case for improving poultry manuresheds
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Flynn, K.C., Lee, T.O., Endale, D.M., Franzluebbers, A.J., Ma, S., Zhou, Y. 2020. Remote sensing of tall fescue (Lolium arundinaceum) plant health with varying endophyte and fertilizer types: A case for improving poultry manuresheds. American Geophysical Union Annual Meeting, December 9-13, 2020, Virtual.
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Detecting frequent harvesting of alfalfa using active and passive remote sensing
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Zhou, Y., Flynn, K.C., Gowda, P.H., Wagle, P., Ma, S., Kakani, V.G., Steiner, J.L. 2020. Detecting frequent harvesting of alfalfa using active and passive remote sensing. American Geophysical Union Annual Meeting, December 9-13, 2020, Virtual.
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Site suitability analysis incorporating disease prediction in castor (Ricinus communis L.) production
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Witt, T.W., Flynn, K.C., Zoz, T., Monteiro, E.B. 2020. Site suitability analysis incorporating disease prediction in castor (Ricinus communis L.) production. Springer Nature Applied Sciences. 2:1820. https://doi.org/10.1007/s42452-020-03602-4.
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Evaluating the sensitivity of vegetation and water indices to monitor drought for three Mediterranean crops
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Yildirim, T., Zhou, Y., Flynn, K.C., Gowda, P.H., Ma, S., Moriasi, D.N. 2021. Evaluating the sensitivity of vegetation and water indices to monitor drought for three Mediterranean crops. Agronomy Journal. 113:123-134. https://doi.org/10.1002/agj2.20475.
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Using manureshed management to connect distant links of the beef supply chain
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Spiegal, S.A., Meredith, G., Silveira, M., Flynn, K.C., Bittman, S., Vendramini, J., Kleinman, P.J. 2020. Using manureshed management to connect distant links of the beef supply chain [abstract]. ASA-CSSA-SSSA Annual Meeting, November 9-13, 2020, Phoenix, AZ. Virtual.
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Opportunities to implement manureshed management in the U.S. swine industry
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Meinen, R., Spiegal, S.A., Kleinman, P.J., Flynn, K.C., Goslee, S.C., Mikesell, R., Bryant, R.B. 2020. Opportunities to implement manureshed management in the U.S. swine industry [abstract]. ASA-CSSA-SSSA Annual Meeting, November 9-13, 2020, Phoenix, AZ. Virtual.
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Challenges and opportunities for manureshed management across U.S. dairy systems
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Baker, J.M., Dell, C.J., Spiegal, S.A., Porter, S., Leytem, A.B., Flynn, K.C., Bryant, R.B., Bjorneberg, D.L., Rotz, C.A., Hagevoot, R., Williamson, J., Slaughter, A.L., Bittman, S., Kleinman, P.J. 2020. Challenges and opportunities for manureshed management across U.S. dairy systems [abstract]. ASA-CSSA-SSSA Annual Meeting, November 9-13, 2020, Phoeniz, AZ. Virtual.
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Historical shifts in United States manuresheds
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Flynn, K.C., Spiegal, S.A., Smith, D.R., Kleinman, P.J. 2020. Historical shifts in United States manuresheds. ASA-CSSA-SSSA Annual Meeting Virtual, November 9-13, 2020.
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Nutrient prediction for tef (Eragrostis tef) plant and grain with hyperspectral data and partial least squares regression: Replicating methods and results across environments
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Flynn, K.C., Frazier, A.E., Admas, S. 2020. Nutrient prediction for tef (Eragrostis tef) plant and grain with hyperspectral data and partial least squares regression: Replicating methods and results across environments. Remote Sensing. 12(18). Article 2867. https://doi.org/10.3390/rs12182867.
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Manureshed delineation via analysis of county-level data from IPNI-NuGIS and USDA-NASS(2012)
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Spiegal, S.A., Kleinman, P.J., Endale, D.M., Bryant, R.B., Dell, C.J., Goslee, S.C., Meinen, R.J., Flynn, K.C., Baker, J.M., Browning, D.M., McCarty, G.W., Bittman, S., Carter, J.D., Cavigelli, M.A., Duncan, E., Gowda, P.H., Li, X., Ponce, G., Raj, C., Silveira, M., Smith, D.R., Arthur, D.K., Yang, Q., Nezat, C., Vandenberg, B.C. 2020. Manureshed delineation via analysis of county-level data from IPNI-NuGIS and USDA-NASS(2012). Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1518435.
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Manuresheds: Advancing nutrient recycling in US agriculture
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Spiegal, S.A., Kleinman, P.J., Endale, D.M., Bryant, R.B., Dell, C.J., Goslee, S.C., Meinen, R.J., Flynn, K.C., Baker, J.M., Browning, D.M., McCarty, G.W., Bittman, S., Carter, J.D., Cavigelli, M.A., Duncan, E.W., Gowda, P.H., Li, X., Ponce, G., Raj, C., Silveira, M., Smith, D.R., Arthur, D.K., Yang, Q. 2020. Manuresheds: Advancing nutrient recycling in US agriculture. Agricultural Systems. 182:102813. https://doi.org/10.1016/j.agsy.2020.102813.
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Manuresheds: Redesigning crop-livestock agriculture for sustainable intensification
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Spiegal, S.A., Kleinman, P.J., Bryant, R.B., Endale, D.M., Dell, C.J., Yang, Q., Flynn, K.C., Gowda, P.H., Duncan, E.W., Carter, J.D., Browning, D.M. 2019. Manuresheds: Redesigning crop-livestock agriculture for sustainable intensification [abstract]. US-International Association for Landscape Ecology. April 7-11, 2019, Ft. Collins, Colorado.
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