Persönlicher Status und Werkzeuge

Sprachwahl

Hochdurchsatz Phänotypisierung

20 Jahre Hochdurchsatz-Feldphänotypisierung

  • Anlässlich der Sommertagung der GFPi-Abteilung Getreide am 21. Mai 2019 informierte der Lehrstuhl für Pflanzenernährung über neueste Entwicklungen in der Hochdurchsatz-Phänotypisierung. Die Arbeiten wurden interessierten Züchtern in Form von Postern (LINK) und Gerätedemonstrationen an der Versuchsstation des Lehrstuhls in Dürnast vorgestellt. An der Präsentation nahmen 25 Personen teil.

 Plattformen (Phänotypisierung im Hochdurchsatz)

Projekte (Phänotypisierung im Hochdurchsatz)

  • Entwicklung einer Hochdurchsatz-Sensorik zum Screening agronomischer und physiologischer Eigenschaften von Kulturpflanzen im Feldversuchswesen (Zusammenarbeit mit Saaten Union GmbH (Versuchsstation Moosburg) und tec5 AG (Prof. Dr. Urs Schmidhalter, Dr. Bodo Mistele, M. Sc. Klaus Erdle)) Projektförderung durch das BMBF
  • High throughput proximal sensing of well-watered and drought stressed tropical maize hybrids (Prof. Dr. Urs Schmidhalter, Dr. Loic Winterhalter, Dr. Bodo Mistele) in collaboration with the National Corn and Sorghum Center, Suwan Farm, Thailand, Dr. Sansern Jampatong) Project supported by the Federal Agency for Agriculture and Food (BLE) and Kasetsart University (Thailand)
  • Hochdurchsatzscreening in Zuchtgärten. CROP.SENSe.net - Kompetenznetzwerk Sensortechnologie für Pflanzenzüchtung und BestandesmanagementKomplexe Teilprojekte GA3 und B1 (Prof. Dr. Urs Schmidhalter, Dr. Pablo Rischbeck, Dr. Kurt Heil, Dr. Bodo Mistele, Dr. Peter Baresel)
  • Entwicklung einer Screeningplattform zur gezielten Untersuchung von Trockenstress unter Freilandbedingungen (Prof. Dr. Urs Schmidhalter, Dipl. Ing. Jürgen Plass, Dr. Pablo Rischbeck, Dr. Bodo Mistele)
  • Non-contacting high throughput sensing of drought stressed wheat plants (Prof. Dr. Urs Schmidhalter, Dr. Salah El-Sayed, Dr. Bodo Mistele) Project supported by the Federal Agency for Agriculture and Food (BLE) and the Egyptian government in collaboration with Moniufya University (Egypt)
  • Ertrags- und Qualitätssicherheit bei Getreide – Selektion durch kontrollierten Trockenstress (Prof. Dr. Urs Schmidhalter, Dr. Bodo Mistele, Dipl. Ing. Jürgen Plass in Zusammenarbeit mit der LfL, Institut für Pflanzenbau und Pflanzenzüchtung, Dr. Markus Herz, Dr. Lorenz Hartl) Projektförderung durch das Bayerische Landwirtschaftsministerium
  • Simulated field environment with combined salt and drought stresses as a platform for phenotyping plant tolerance to salinity (Prof. Dr. Urs Schmidhalter, M.Sc. Harald Hackl, PD Dr. Yuncai Hu, Dr. Bodo Mistele, Dr. Peter Baresel) supported by a grant from DFG
  • Entwicklung einer Screeningplattform zur gezielten Untersuchung von Trockenstress unter Gewächshausbedingungen (Prof. Dr. Urs Schmidhalter, Dipl. Ing. Jürgen Plass, PD. Dr. Yuncai Hu, M.Sc. Harald Hackl, Dr. Bodo Mistele)
  • Improvement of drought and salt tolerance of wheat genotypes under field conditions by high throughput precision phenotyping ((Prof. Dr. Urs Schmidhalter, PD. Dr. Hu Yuncai) in Zusammenarbeit mit dem National Research Center (Ass. Prof. Dr. Magid Abdelhamid, Cairo, Suez Canal University (Ass. Prof. Dr. Salah El-Hendawy, Minufiya University (Dr. Salah Elsayed)) Projektförderung German/Egyptian Research Fund, Internationales Büro des BMBF

Literatur (Phänotypisierung im Hochdurchsatz)

2019

  • El-Hendawy, S., E., Al-Suhaibani, N., A., Hassan, W.,l M., Dewir, Y., H.,Elsayed, S., Al-Ashkar, I., Abdella, K.,l A., Schmidhalter, U. Evaluation of wavelengths and spectral reflectance indices for high-throughput assessment of growth, water relations and ion contents of wheat irrigated with saline water. 2019. Agricultural Water Management. 212. 358-377. 10.1016/j.agwat.2018.09.009.
  • Prey, L., Schmidhalter, U. Simulation of satellite reflectance data using high-frequency ground based hyperspectral canopy measurements for in-season estimation of grain yield and grain nitrogen status in winter wheat. 2019. ISPRS Journal of Photogrammetry and Remote Sensing. 149. 176-187. 10.1016/j.isprsjprs.2019.01.023.
  • El-Hendawy, S., Al-Suhaibani, N., Elsayed, S., Refay, Y., Alotaibi, M., Dewir, Y., Hassan, W., Schmidhalter, U. Combining biophysical parameters, spectral indices and multivariate hyperspectral models for estimating yield and water productivity of spring wheat across different agronomic practices. 2019. PLOS ONE. 14. 3. e0212294. 10.1371/journal.pone.0212294.
  • Prey, L., Kipp, S., Hu, Y., Schmidhalter, U. Nitrogen Use Efficiency and Carbon Traits of High-Yielding European Hybrid vs. Line Winter Wheat Cultivars: Potentials and Limitations. 2019. Frontiers in Plant Science. 9. 10.3389/fpls.2018.01988.
  • Prey, L.; Germer, M.; Schmidhalter, U. Temporal and Organ-specific Responses in NUE Traits to N Fertilization, Fungicide Intensity and Early Sowing in Winter Wheat Cultivars. 2019. Agronomy. 9. 6. 313. 10.3390/agronomy9060313.

2018

  • Elsayed, S.; El-Gozayer, K.; Allam, A.; Schmidhalter, U. Passive reflectance sensing using regression and multivariate analysis to estimate biochemical parameters of different fruits kinds. 2018. Scientia Horticulturae. 243. 21-33. 10.1016/j.scienta.2018.08.004.
  • Heil, K.; Heinemann, P.; Schmidhalter, U. Modeling the Effects of Soil Variability, Topography, and Management on the Yield of Barley. 2018. Frontiers in Environmental Science. 6. 10.3389/fenvs.2018.00146.
  • Elsayed, S.; Barmeier, G.; Schmidhalter, U. Passive Reflectance Sensing and Digital Image Analysis Allows for Assessing the Biomass and Nitrogen Status of Wheat in Early and Late Tillering Stages. 2018. Frontiers in Plant Science. 9. 10.3389/fpls.2018.01478.
  • Prey, L., v. Bloh, M., Schmidhalter, U. Evaluating RGB Imaging and Multispectral Active and Hyperspectral Passive Sensing for Assessing Early Plant Vigor in Winter Wheat. 2018. Sensors. 18. 9. 2931. 10.3390/s18092931.
  • Oehlschläger,J., Schmidhalter, U., Noack, P. UAV-based hyperspectral sensing for yield prediction in winter barley. WHISPERS Conference Proceedings 2018.

2017

  • El-Hendawy, S. E.; Hassan, W. M.; Al-Suhaibani, Nasser A.; Schmidhalter, U. Spectral assessment of drought tolerance indices and grain yield in advanced spring wheat lines grown under full and limited water irrigation. 2017. Agricultural Water Management. 182. 1-12. 10.1016/j.agwat.2016.12.003.
  • Elsayed, S.; Elhoweity, M.; Ibrahim, H. H.; Dewir, Y. H.; Migdadi, H. M.; Schmidhalter, U. Thermal imaging and passive reflectance sensing to estimate the water status and grain yield of wheat under different irrigation regimes. 2017. Agricultural Water Management. 189. 98-110. 10.1016/j.agwat.2017.05.001.
  • Hu, Y.; Hackl, H.; Schmidhalter, U. Comparative performance of spectral and thermographic properties of plants and physiological traits for phenotyping salinity tolerance of wheat cultivars under simulated field conditions. 2017. Functional Plant Biology. 44. 1. 134. 10.1071/fp16217.
  • El-Hendawy, S. E.; Hassan, W. M.; Refay, Y.; Schmidhalter, U. On the use of spectral reflectance indices to assess agro-morphological traits of wheat plants grown under simulated saline field conditions. 2017. Journal of Agronomy and Crop Science. 10.1111/jac.12205.
  • Becker, E.; Schmidhalter, U. Evaluation of Yield and Drought Using Active and Passive Spectral Sensing Systems at the Reproductive Stage in Wheat. 2017. Frontiers in Plant Science. 8. 10.3389/fpls.2017.00379.
  • Baresel, J.- P; Rischbeck, P.; Hu, Y.; Kipp, S.; Hu, Y.; Barmeier, G.; Mistele, B.; Schmidhalter, U.. Use of a digital camera as alternative method for non-destructive detection of the leaf chlorophyll content and the nitrogen nutrition status in wheat. 2017. Computers and Electronics in Agriculture. 140. 25-33. 10.1016/j.compag.2017.05.032.
  • Heil, K.; Schmidhalter, U. Improved evaluation of field experiments by accounting for inherent soil variability. 2017. European Journal of Agronomy. 89. 1-15. 10.1016/j.eja.2017.05.004.
  • Barmeier, G.; Hofer, K.; Schmidhalter, U. Mid-season prediction of grain yield and protein content of spring barley cultivars using high-throughput spectral sensing. 2017. European Journal of Agronomy. 90. 108-116. 10.1016/j.eja.2017.07.005.
  • Rischbeck, P.; Cardellach, P.; Mistele, B.; Schmidhalter, U. Thermal phenotyping of stomatal sensitivity in spring barley. 2017. Journal of Agronomy and Crop Science. 1-11. 10.1111/jac.12223.
  • Elsayed, S.; Elhoweity, M.; El-Hendawy, S.; Schmidhalter, U. Non-invasive spectral detection of the beneficial effects of Bradyrhizobium spp. and plant growth-promoting rhizobacteria under different levels of nitrogen application on the biomass, nitrogen status, and yield of peanut cultivars. 2017. Bragantia. 76. 2. 189-202. 10.1590/1678-4499.076.
  • Barmeier, G.; Schmidhalter, U. High-Throughput Field Phenotyping of Leaves, Leaf Sheaths, Culms and Ears of Spring Barley Cultivars at Anthesis and Dough Ripeness. 2017. Frontiers in Plant Science. 8. 10.3389/fpls.2017.01920.
  • Gnädinger, F.; Schmidhalter, U. Digital Counts of Maize Plants by Unmanned Aerial Vehicles (UAVs). 2017. Remote Sensing. 9. 6. 544. 10.3390/rs9060544.
  • Heil, K.; Schmidhalter, U. The Application of EM38: Determination of Soil Parameters, Selection of Soil Sampling Points and Use in Agriculture and Archaeology. 2017. Sensors. 17. 11. 2540. 10.3390/s17112540.
  • Prey,L.; Hu, Y.; Schmidhalter U. Spektrale Erfassung von Merkmalen der Stickstoffeffizienz bei Winterweizen. 2017. VDLUFA Schriftenreihe 74. 63-70.

2016

  • Barmeier, G.; Schmidhalter, U. High-Throughput Phenotyping of Wheat and Barley Plants Grown in Single or Few Rows in Small Plots Using Active and Passive Spectral Proximal Sensing. 2016. Sensors. 16. 11. 1860. 10.3390/s16111860.
  • Rischbeck, P.; Elsayed, S.; Mistele, B.; Barmeier, G.; Heil, K.; Schmidhalter, U. Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley.. 2016. European Journal of Agronomy. 78. 44-59. 10.1016/j.eja.2016.04.013.
  • Elsayed, S.; Galal, H.; Allam, A.; Schmidhalter, U. Passive reflectance sensing and digital image analysis for assessing quality parameters of mango fruits. 2016. Scientia Horticulturae. 212. 136-147. 10.1016/j.scienta.2016.09.046.
  • Barmeier, G., Mistele, B., Schmidhalter, U. Referencing laser and ultrasonic height measurements of barley cultivars by using a herbometre as standard. 2016. Crop and Pasture Science. 1215-1222. 10.1071/cp16238.
  • Hu, Y.; Hackl, H.; Schmidhalter, U. Comparative performance of spectral and thermographic properties of plants and physiological traits for phenotyping salinity tolerance of wheat cultivars under simulated field conditions. 2016. Functional Plant Biology 44 (1), 132-142. 44 (1). 132-142. 10.3390/s16111860.
  • Li D.; Li, F.; Hu, Y.; Mistele, B.; Schmidhalter U. Study on the estimation of nitrogen content in wheat and maize canopy based on band optimization of spectral parameters. 2016. Spectroscopy and Spectral Analysis. 36. 4. 1150-1157. 10.3964/j.issn.1000-0593(2016)04-1150-08.

2015

  • Schmidhalter, U. Sensorgestützte Ermittlung des Nährstoffbedarfs. 2015. VDLUFA-Schriftenreihe. 70. 57-66.
  • Heil, K.; Rischbeck, P.; Kipp, S.; von Tucher, S.; Schmidhalter, U. Boden- und Pflanzensensorik sowie Trockenstressversuche auf Ackerflächen im Tertiärhügelland nördlich von München. DBG Exkursionsführer München. 2015. 207-212.
  • Elsayed, S.; Elhoweity, M.; Schmidhalter U. Normalized difference spectral indices and partial squares tegression to assess the yield and yield components of peanut. 2015. Australian Journal of Crop Science.
  • Heil, K.; Schmidhalter, U. Comparison of the EM38 and EM 38-MK2 electromagnetic induction-based sensors for spatial soil analysis at field scale. 2015. Computers and Electronics in Agriculture. 11. 264-280. 10.1016/j.compag.2014.11.014.
  • Elsayed, S.; Rischbeck, P.; Schmidhalter, U. Comparing the performance of active and passive reflectance sensors to assess the normalized relative canopy temperature and grain yield of drought-stressed barley cultivars. 2015. Field Crops Research. 177. 148-160. 10.1016/j.fcr.2015.03.010.
  • Neumann K., Klukas C., Friedel S., Rischbeck P., Chen D., Entzian A., Stein N., Graner A., Kilian B. Dissecting spatio-temporal biomass accumulation in barley under different water regimes using high-throughput image analysis. 2015. Plant, Cell & Environment. 10.1111/pce.12516.
  • El-Hendawy, S., Al-Suhaibani, N., Salem, A., Ur Rehman, S., Schmidhalter U. Spectral reflectance indices as a rapid nondestructive phenotyping tool for estimating different morphophysiological traits of contrasting spring wheat germplasms under arid conditions. 2015. Turkish Journal of Agriculture and Forestry. 39. 572 – 587. 10.3906/tar-1406-164.
  • Schmidhalter, U. Sensorgestützte Ermittlung des Nährstoffbedarfs. VDLUFA-Schriftenreihe. 2015. 57-66.

2014

  • Hackl, H.; Hu, Y.; Schmidhalter U. Evaluating growth platforms and stress scenarios to assess the salt tolerance of wheat plants. 2014. Functional Plant Biology. 41. 8. 860-873.
  • Kipp, S.; Mistele, B.; Baresel, P.; Schmidhalter, U. High-throughput phenotyping early plant vigour of winter wheat. 2014. European Journal of Agronomy. 52. 271-278.
  • Kipp, S.; Mistele, B.; Schmidhalter, U. The performance of active spectral reflectance sensors as influenced by measuring distance, device temperature and light intensity. 2014. Computers and Electronics in Agriculture. 100. 24-33.
  • Li, F.; Mistele, B.; Hu, Y.; Chen, X.; Schmidhalter, U. Reflectance estimation of canopy nitrogen content in winter wheat using optimised hyperspectral spectral indices and partial least squares regression. 2014. European Journal of Agronomy. 52. 198-209.
  • Rischbeck, P.; Baresel, J.-P.; Elsayed, S.; Mistele, B.; Schmidhalter, U. Development of a diurnal dehydration index for spring barley phenotyping. 2014. Functional Plant Biology. 41. 1249-1260.
  • El-Hendawy, S.; Kotab, M.; Al-Suhaibani, N.; Schmidhalter, U. Optimal coupling combinations between the irrigation rate and glycinebetaine levels for improving yield and water use efficiency of drip-irrigated maize grown under arid conditions. 2014. Agricultural Water Management. 140. 69-78.
  • El-Hendawy, S.; Al-Suhaibani, N.; Schmidhalter, U.; Sakagami J. Adaptive traits associated with tolerance to flash flooding during emergence and early seedling growth stages in rice. 2014. Plant Omics Journal. 7. 474-489.
  • Heil, K.; Schmidhalter, U. Using discriminant analysis and logistic regression in mapping quaternary sediments. 2014. Mathematical Geosciences. 46. 361-376.
  • Kipp, S.; Mistele, B.; Schmidhalter, U. Identification of stay-green and early-senescence phenotypes in high-yielding winter wheat and their relationship to grain yield and grain protein concentration using high-throughput phenotyping techniques. 2014. Functional Plant Biology. 41. 227-235.

2013

  • Erdle, K.; Mistele, B.; Schmidhalter, U. Spectral high-throughput assessments of phenotypic differences in biomass and nitrogen partitioning during grain filling of wheat under high yielding Western European conditions. 2013. Field Crops Research. 141. 16-21.
  • Erdle, K.; Mistele, B.; Schmidhalter, U. Spectral assessments of phenotypic differences in spike development during grain filling affected by varying N supply in wheat. 2013. Journal of Plant Nutrition and Soil Science. 6. 952-963.
  • Hackl, H.; Mistele, B.; Hu, Y.; Schmidhalter, U. Spectral assessments of wheat plants grown in pots and containers under saline conditions. 2013. Functional Plant Biology. 40. 409-424.
  • Li, F.; Mistele, B.; Hu, Y.; Chen, X.; Schmidhalter, U. Comparing hyperspectral index optimization algorithms to estimate aerial N uptake using multi-temporal winter wheat datasets from contrasting climatic and geographic zones in China and Germany. 2013. Agricultural and Forest Meteorology. 180. 44-57.
  • Winterhalter, L.; Mistele, B.; Schmidhalter, U. Evaluation of active and passive sensor systems in the field to phenotype maize hybrids with high-throughput. 2013. Field Crops Research. 154. 236-245.
  • Winterhalter, L., Mistele, B., Schmidhalter, U. Spektrale Augen im Mais. 2013. Mais. 40. 3. 131-133.

2012

  • Hackl, H.; Baresel, J.P.; Mistele, B.; Hu, Y.; Schmidhalter, U. A comparison of plant temperatures as measured by thermal imaging and infrared thermometry. 2012. Journal of Agronomy and Crop Science. 198. 6. 415-429.
  • Heil, K.; Schmidhalter, U. Characterisation of soil texture variability using the apparent soil electrical conductivity at a highly variable site. 2012. Computers & Geosciences. 39. 98-110.
  • Li, F.; Mistele, B.; Hu, Y.; Yue, X.; Yue, S.; Miao, Y.; Chen, X.; Cui, Z.; Meng, Q.; Schmidhalter, U. Remotely estimating aerial N status of phenologically differing winter wheat cultivars grown in contrasting climatic and geographic zones in China and Germany. 2012. Field Crops Research. 138. 21-32.
  • Winterhalter, L.; Mistele, B.; Schmidhalter, U. Assessing the vertical footprint of reflectance measurements to characterize nitrogen uptake and biomass distribution in maize canopies. 2012. Field Crops Research. 129. 14-20.
  • Li L.; Qin Y.L.; Liu Y.C.; Hu Y.C.; Fan M.S. Leaf positions of potato suitable for determination of nitrogen content with a SPAD meter. 2012. Plant Production Science. 15. 4. 317-322.
  • Erdle, K.; Mistele, B.; Schmidhalter, U. Spectral detection of phenotypic differences in biomass and nitrogen partitioning during grain filling of wheat. 2012.
  • Mistele, B.; Elsayed, S.; Schmidhalter, U. Assessing water status in wheat under field conditions using laser induced chlorophyll fluorescence and hyperspectral measurements. 2012.
  • Erdle, K.; Mistele, B.; Schmidhalter, U. Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars. 2012.
  • Erdle, K.; Mistele, B.; Schmidhalter, U. Konkurrenz für´s Surfbrett - Sensorenvergleich. 2012. DLZ. 3. 28-34.
  • Hackl, H.; Baresel, J.P.; Mistele,B.; Hu, Y.; Schmidhalter, U. A comparison of plant temperatures as measured by thermal imaging and infrared thermometry. 2012.
  • Kipp, S.; Mistele, B.; Schmidhalter, U. Active Sensor performance - dependence on measuring height, device temperature and light intensity. 2012.

2011

  • Bai, R.; Zhang, Z.; Hu, Y.; Fan, M.; Schmidhalter U. Improving the salt tolerance of Chinese spring wheat through an evaluation of genotype genetic variation. 2011. Australian Journal of Crop Science. 5. 10. 1173-1178.
  • El-Hendawy, S.E.; Hu, Y.; Sakagami, J-I.; Schmidhalter, U. Screening Egyptian Wheat Genotypes for Salt Tolerance at Early Growth Stages. 2011. International Journal of Plant Production. 5. 3. 283-298.
  • Elsayed, M.E.S.; Mistele, B.; Schmidhalter, U. Can changes in leaf water potential be assessed spectrally? 2011. Functional Plant Biology. 38. 523-533.
  • Erdle, K.; Mistele, B.; Schmidhalter, U. Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars. 2011. Field Crops Research. 124. 74-84.
  • Winterhalter, L.; Mistele, B.; Jampatong, S.; Schmidhalter, U. High throughput phenotyping of canopy water mass and canopy temperature in well-watered and drought stressed tropical maize hybrids in the vegetative stage. 2011. European Journal of Agronomy. 35. 22-32.
  • Winterhalter, L.; Mistele, B.; Jampatong, S.; Schmidhalter, U. High throughput sensing of aerial biomass and above ground nitrogen uptake in the vegetative stage of well-watered and drought stressed tropical maize hybrids. 2011. Crop Science. 51. 479-489.
  • El-Hendawy, S.E.; Alboghdady, M.; Sakagami, J-I.; Schmidhalter, U. Saving water in arid and semi-arid countries as a result of optimising crop evapotranspiration. Evapotranspiration (Book 2). 2011. 225-244.
  • Erdle, K.; Mistele, B.; Schmidhalter, U. Wer kann was? – Aktive und passive Spektralsensoren im Plfanzenbau und ihre Unterschiede in der Differenzierung von Biomasseparametern bei Weizen. 2011. 210-218.

2010

  • Mistele, B.; Schmidhalter U. Tractor-based quadrilateral spectral reflectance measurements to detect biomass and total aerial nitrogen in winter wheat. 2010. Agronomy Journal. 102. 2. 499-506.
  • Thoren, D.; Thoren, P.; Schmidhalter, U. Influence of Ambient Light and Temperature on Laser-Induced Chlorophyll Fluorescence Measurements. 2010. European Journal of Agronomy. 32. 169-176.
  • Mistele, B.; Schmidhalter, U. A comparison of spectral reflectance and laser-induced chlorophyll fluorescence measurements to detect differences in aerial dry weight and nitrogen update of wheat. 2010. 1-16.

2009

  • El-Hendawy, S.E.; Ruan, Y.; Hu, Y.; Schmidhalter, U. A comparison of screening criteria for salt tolerance in wheat under field and environment controlled conditions. 2009. Journal of Agronomy and Crop Science. 195. 5. 356-367.
  • Thoren, D.; Schmidhalter, U. Nitrogen status and biomass determination of oilseed rape by laser-induced chlorophyll fluorescence. 2009. European Journal of Agronomy. 30. 238-242.

2008

  • Mistele, B.; Schmidhalter, U. Spectral measurements of the total aerial N and biomass dry weight in maize using a quadrilateral-view optic. 2008. Field Crops Research. 106. 94-103.
  • Mistele, B.; Schmidhalter, U. Estimating the nitrogen nutrition index using spectral canopy reflectance measurements. 2008. European Journal of Agronomy. 29. 184-190.
  • Schmidhalter, U.; Maidl, F.-X.; Heuwinkel, H.; Demmel, M.; Auernhammer, H.; Noack, P.; Rothmund, M. Precision Farming - Adaptation of land use management to small scale heterogeneity. Perspectives for Agroecosystem Management. 2008. 121-199.

2007

  • El-Hendawy, S.; Hu, Y.; Schmidhalter, U. Assessing the suitability of various physiological traits to screen wheat genotypes for salt tolerance. 2007. Journal of Integrative Plant Biology. 49. 1352-1360.
  • Gebbers R.; Lück E.; Heil K. Depth sounding with the EM38 – detection of soil layering by inversion of apparent electrical conductivity measurements. 2007. 95-102.
  • Noack, P.O., Muhr, T., Schönfelder, M., Kutschera, J., Hancock, P., Selige, T. Evaluation of digital terrain models derived from data collected with RTK-GPS based automatic steering systems using a high precision laser scanner. 2007. 233-240.

2006

  • Selige, T.; Böhner, J.; Schmidhalter, U. High resolution topsoil mapping using hyper spectral image and field data in multivariate regression modelling procedures. 2006. Geoderma. 136. (1-2). 235-244.
  • Selige T.; Böhner, J.; Ringeler, A. Processing of SRTM X-SAR Data to Correct Interferometric Elevation Models for Land Surface Applications. Saga-Analyses and Modelling Applications. 2006. 97-104, 127-128.
  • Schmidhalter, U.; Bredemeier, C.; Geesing, D.; Mistele, B.; Selige, T.; Jungert, St. Precision Agriculture: Spatial and Temporal Variability of Soil Water Nitrogen and Plant Crop Response. 2006. Bibliotheca Fragmenta Agronomica. 11. 3. 97-106.
  • Böhner, J.; Selige, T.; Ringeler, A. Image Segmentation using Representativeness Analysis and Region Growing. Saga-Analyses and Modelling Applications. 2006. 29-38.
  • Böhner, J.; Selige, T. Spatial Prediction of Soil Attributes Using Terrain Analysis and Climate Regionalisation. Saga-Analyses and Modelling Applications. 2006. 13-28; 118-120.


2005

  • El-Hendawy, S.; Hu, Y.; Schmidhalter, U. Growth, ion content, gas exchange, and water relations of wheat genotypes differing in salt tolerance. 2005. Australian Journal of Agricultural Research. 56. 123-134.
  • Schmidhalter, U. Site-specific crop production and Precision Phenotyping for water limited areas. 2005. Conference European Society of Agronomy.
  • El-Hendawy, S.; Hu, Y.; Yakout, G.M.; Awad, A.M.; Hafiz, S.E.; Schmidhalter, U. Evaluating salt tolerance of wheat genotypes using multiple parameters. 2005. European Journal of Agronomy. 22. 243-253.
  • Locher, F.; Heuwinkel, H.; Gutser, R.; Schmidhalter U. Development of NIRS calibrations to estimate legume content of multispecies legume-grass mixtures. 2005. Agronomy Journal. 97. 11-17.
  • Locher, F., Heuwinkel, H., Gutser, R., Schmidhalter U. The Legume Content in Multispecies Mixtures as Estimated with Near Infrared Reflectance Spectroscopy: Method Validation. 2005. Agronomy Journal. 97. 18-25.
  • Selige, T.; Schmidhalter, U. Topsoil mapping using hyperspectral airborne data and multivariate regression modeling. Precision Agriculture´05. 2005. 537-545.
  • Bredemeier, C.; Schmidhalter, U. Laser-induced fluorescence sensing to determine biomass and nitrogen uptake of winter wheat under controlled environment and field conditions. Precision Agriculture ´05. 2005. 273-280.
  • Schmidhalter, U. Sensing soil and plant properties by non-destructive measurements. 2005. 81-90.

2004

  • Böhner, J.; Selige, T.; Köthe, R. Geographical information systems. Encyclopedia of Soils in the Environment. 2004. 121-129.
  • Mistele, B.; Gutser, R.; Schmidhalter, U. Validation of Field-Scaled Spectral Measurements of the Nitrogen Status in Winter Wheat. 2004. 1187-1195.
  •  Nykänen, A.; Heuwinkel, H.; Losges, R.; Locher, F. Comparsion of NIRS based methods to determine legume content of mixed swards. 2004. 282-285.
  • Schmidhalter, U; Bredemeier, C.; Jungert, S.; Blesse, D. Lasersensorik zur Erfassung des Stickstoffstatus und der Biomasse von Pflanzen. 2004. 29-33.

2003

  • Sommer, M.; Wehrhan, M.; Zipprich, M.; Weller, U.; zu Castell, W.; Ehrich, S.; Tandler, B.; Selige, T. Hierarchical data fusion for mapping soil units at field scale. 2003. Geoderma. 112. 179-196.
  • Bredemeier, C.; Schmidhalter, U. Non-contacting chlorophyll fluorescence sensing for site-specific nitrogen fertilization in wheat and maize. 2003. Precision Agriculture. 103-108.
  • Selige T.; Nätscher, L.; Schmidhalter U. Spatial detection of topsoil properties using hyperspectral sensing. 2003. Precision Agriculture. 633-638.
  • Werner, A.; Roth, R.; Kühn, J.; Voßhenrich, H.-H.; Sommer, C.; Wenkel, K.O.; Brozio, S.; Gebbers, R.; Dammer, K.-H.; Ehlert, D. Integrated management of soil and crop in precision agriculture. 2003. 823-825.
  • Mistele, B.; Bredemeier, C.; Gutser, R.; Schmidhalter, U. Spectral detection of nitrogen status, biomass and yield of field-grown maize plants. 2003. 497-498.
  • Molin, J.P.; Gimenez, L.M.; Pauletti, V.; Schmidhalter, U.; Hammer, J.; Araújo, J.C. Electrical conductivity and its correlation with soil factors and crop yield in southern Brazil. 2003. 503-504.
  • Bill, R.; Grenzdörffer, G.; Foy, T.; Selige, T.; Schmidhalter, U.; Dohmen, B.; Reh, A. Remote sensing. 2003. 103-108.
  • Locher, F.; Heuwinkel, H.; Gutser, R.; Schmidhalter, U. Bestimmung des Leguminosenanteiles in Kleegras mit FT-NIRS: Modellvalidierung. 2003. 93-95.
  • Schmidhalter, U.; Jungert, S.; Bredemeier, C.; Gutser, R.; Manhart, R.; Mistele B.; Gerl, G. Field-scale validation of a tractor based multispectral crop scanner to determine biomass and nitrogen uptake of winter wheat. 2003. 615-619.
  • Lamp, J.; Herbst, R.; Reimer, G.; Schmidt, F.; Reiche, E.-W.; Schmidhalter, U.; Bobert, J. Precise site assessment by data of German soil ratings, geoelectric conductivity, terrain modelling and digital farm soil mapping. 2003. 812-814.
  • Werner, A.; Kettner, E.; Pauly, J.; Reining, E.; Roth, R.; Kühn, J.; Selige, T.; Bobert, J.; Schmidhalter, U.; Hufnagel, J. Yield potentials of sub-units within fields as a key input for crop management in precision agriculture. 2003. 820-822.
  • Heil, K.; Schmidhalter U. Derivation of soil texture and soil water content from electromagnetic induction measurements. 2003. 429-430.

2002 and earlier

  • Selige, T.; Schmidhalter, U. Multispektrale Fernerkundung von Bodeneigenschaften und Aufwuchszuständen. Tagungsband Precision Agriculture Herausforderung an integrative Forschung, Entwicklung und Anwendung in der Praxis. KTBL Sonderveröffentlichung 038, Jahr 2002.
  • Ruthenkolk, F.; Gutser, R.; Schmidhalter, U. Laser-induced chlorophyll fluorescence as a tool to determine the nitrogen status of wheat. 3rd. Europ. Conference Precision Agriculture, Montpellier, 2001, 899-904.
  • Ruthenkolk, F.; Gutser, R.; Schmidhalter, U. Development of a non-contacting method for the determination of the plant water status. 14th. Int. Plant Nutrition Colloquium, Hannover, Kluwer Academic Publishers, Dordrecht, Developments in Plant and Soil Sciences, Vol. 92, 2001, 392-393.
  • Schmidhalter, U.; Glas, J.; Heigl, R.; Manhart, R.; Wiesent, S.; Gutser, R.; Neudecker, E Application and testing of a crop scanning instrument – field experiments with reduced crop width, tall maize plants and monitoring of cereal yield. 3rd. Europ. Conference Precision Agriculture, Montpellier, 2001, 953-958.
  • Schmidhalter, U.; Selige, T.; Sperl, C. Pflanzenernährung zwischen Himmel und Erde. DLZ-Agrarmagazin – Ackerbau per Satellit. Sonderheft 10, 1999, 89-91.