caa a22 4500 44586477X CHVBK 20180317145454.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s11119-010-9177-2 doi (NATIONALLICENCE)springer-10.1007/s11119-010-9177-2 Spatial patterns of wilting in sugar beet as an indicator for precision irrigation [Elektronische Daten] [L. Zhang, M. Clarke, M. Steven, K. Jaggard] Precision irrigation requires the mapping of within-field variations of water requirement. Conventional remote sensing techniques provide estimates of water status at only shallow soil depths. The ability of a water sensitive crop, sugar beet, to act as an intermediate sensor providing an integrated measure of water status throughout its rooting depth is tested here. Archive aerial photographs and satellite imagery of Eastern England show crop patterns resulting from past periglacial processes. The patterns were found to be spatially and temporally consistent. Field sampling of soil cores to 1m depth established that the within-field wilting zones were significantly associated with coarser or shallow soils. The stress classes, determined by classification of the digitised images, were weakly correlated with total available water (Pearson correlation r=0.588, P<0.05). These results suggest that wilting in sugar beet can be used as an intermediate sensor for quantifying potential soil water availability within the root zone. Within-field stress maps generated in 1year could be applied as a strategic tool allowing precision irrigation to be applied to high-value crops in following years, helping to make more sustainable use of water resources. Springer Science+Business Media, LLC, 2010 Crop patterns nationallicence Soil moisture nationallicence Remote sensing nationallicence Sugar beet nationallicence Zhang L. School of Geography, University of Nottingham, University Park, NG7 2RD, Nottingham, UK aut Clarke M. School of Geography, University of Nottingham, University Park, NG7 2RD, Nottingham, UK aut Steven M. School of Geography, University of Nottingham, University Park, NG7 2RD, Nottingham, UK aut Jaggard K. Broom's Barn Research Centre, Higham, Bury St. Edmunds, IP28 6NP, Suffolk, UK aut Precision Agriculture Springer US; http://www.springer-ny.com 12/2(2011-04-01), 296-316 1385-2256 12:2<296 2011 12 11119 https://doi.org/10.1007/s11119-010-9177-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11119-010-9177-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang L. School of Geography, University of Nottingham, University Park, NG7 2RD, Nottingham, UK aut NATIONALLICENCE 700 1- Clarke M. School of Geography, University of Nottingham, University Park, NG7 2RD, Nottingham, UK aut NATIONALLICENCE 700 1- Steven M. School of Geography, University of Nottingham, University Park, NG7 2RD, Nottingham, UK aut NATIONALLICENCE 700 1- Jaggard K. Broom's Barn Research Centre, Higham, Bury St. Edmunds, IP28 6NP, Suffolk, UK aut NATIONALLICENCE 773 0- Precision Agriculture Springer US; http://www.springer-ny.com 12/2(2011-04-01), 296-316 1385-2256 12:2<296 2011 12 11119 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer