Publications

Leenen M., Pätzold S., Tóth G., Welp G. (2022.0). A LUCAS‐based mid‐infrared soil spectral library: Its usefulness for soil survey and precision agriculture. Journal of Plant Nutrition and Soil Science, (), . doi:10.1002/jpln.202100031

Background Mid-infrared spectroscopy (MIRS) is commonly recognized as a rapid and high throughput measurement technology for numerous soil properties, given that appropriate prediction models are calibrated. Soil spectral libraries (SSL) may reduce effort and costs for MIRS practical application. Ai…

Nkebiwe, P.M., Sowoidnich, K., Maiwald, M., Sumpf, B., Hartmann, T.E., Wanke, D., Müller, T. (2022.0). Detection of calcium phosphate species in soil by confocal µ-Raman spectroscopy. Journal of Plant Nutrition and Soil Science, 185(2), 221-231.

Sowoidnich, K., Vogel, S., Maiwald, M., Sumpf, B. (2022.0). Determination of Soil Constituents Using Shifted Excitation Raman Difference Spectroscopy. Applied Spectroscopy, 76(6), 712-722.

Kersebaum K. (2022.0). Modelling to Evaluate Climate Resilience of Crop Rotations Under Climate Change. , Cham, Switzerland: Springer International Publishing.

AbstractDiversification of crop rotations is considered as an option to increase the resilience of European crop production under climate change. Although crop rotation design and management has been identified as an important measure to adapt to and mitigate climate change, most studies on climate …

Tavakoli, H.; Correa, J.; Vogel, S.; Gebbers, R. (2022.0). RapidMapper – a mobile multi-sensor platform for the assessment of soil fertility in precision agriculture. VDI-Berichte; Proceedings of the International Conference on Agricultural Engineering (AgEng-Land.Technik, Nr. 2406, 2022, 2022(Berlin), 351-357.

Groh J., Diamantopoulos E., Duan X., Ewert F., Heinlein F., Herbst M., Holbak M., Kamali B., Kersebaum K., Kuhnert M., Nendel C., Priesack E., Steidl J., Sommer M., Pütz T., Vanderborght J., Vereecken H., Wallor E., Weber T., Wegehenkel M., Weihermüller L., Gerke H. (2022.0). Same soil, different climate: Crop model intercomparison on translocated lysimeters. Vadose Zone Journal, 21(4), . doi:10.1002/vzj2.20202

AbstractCrop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from the same location. Still challenging is the model performance when considering complex interrelations between soil and crop dynamics…

Dueri S., Brown H., Asseng S., Ewert F., Webber H., George M., Craigie R., Guarin J., Pequeno D., Stella T., Ahmed M., Alderman P., Basso B., Berger A., Mujica G., Cammarano D., Chen Y., Dumont B., Rezaei E., Fereres E., Ferrise R., Gaiser T., Gao Y., Garcia-Vila M., Gayler S., Hochman Z., Hoogenboo… (2022.0). Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment. Journal of Experimental Botany, 73(16), 5715-5729. doi:10.1093/jxb/erac221

Abstract Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of MME to capture crop responses to changes in sowing dates and densities has not yet been investigated. These management interventions are …

Dueri, S., Léonard, J., Chlebowski, F., Rosso, P., Berg-Mohnicke, M., Nendel, C., Ehrhardt, F., Martre P. (2022.0). Sources of uncertainty of N2O emission forecast under contrasting global environmental conditions. Global Change Biology.. Submitted to Agricultural and Forest Meteorology, (), .

Vogel S., Bönecke E., Kling C., Kramer E., Lück K., Philipp G., Rühlmann J., Schröter I., Gebbers R. (2022.0). Direct prediction of site-specific lime requirement of arable fields using the base neutralizing capacity and a multi-sensor platform for on-the-go soil mapping. Precision Agriculture, 23(1), 127-149. doi:10.1007/s11119-021-09830-x

AbstractLiming agricultural fields is necessary for counteracting soil acidity and is one of the oldest operations in soil fertility management. However, the best management practice for liming in Germany only insufficiently considers within-field soil variability. Thus, a site-specific variable rat…

Wallach D., Palosuo T., Thorburn P., Hochman Z., Andrianasolo F., Asseng S., Basso B., Buis S., Crout N., Dumont B., Ferrise R., Gaiser T., Gayler S., Hiremath S., Hoek S., Horan H., Hoogenboom G., Huang M., Jabloun M., Jansson P., Jing Q., Justes E., Kersebaum K., Launay M., Lewan E., Luo Q., Maest… (2021.0). Multi-model evaluation of phenology prediction for wheat in Australia. Agricultural and Forest Meteorology, 298-299(), 108289. doi:10.1016/j.agrformet.2020.108289

Predicting wheat phenology is important for cultivar selection, for effective crop management and provides a baseline for evaluating the effects of global change. Evaluating how well crop phenology can be predicted is therefore of major interest. Twenty-eight wheat modeling groups participated in th…