Evaluation of active and passive sensor systems in the field to phenotype maize hybrids with high-throughput

Field Crops Research

Volumn 154, Issue , 2013, Pages 236-245

  Winterhalter, Loïc ^a   Mistele, Bodo ^a   Schmidhalter, Urs ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Corn; Phenomics; Plant architecture; Proximal sensing; Spectral reflectance

Indexed keywords

AGRICULTURAL TECHNOLOGY; BARE SOIL; BIOLOGICAL UPTAKE; BIOMASS; BIOTECHNOLOGY; FOLIAGE; GENOMICS; HYBRID; MAIZE; PLANT ARCHITECTURE; PLANT BREEDING; PRECISION; SENSOR; SPECTRAL REFLECTANCE;

ZEA MAYS;

EID: 84887823218     PISSN: 03784290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fcr.2013.09.006     Document Type: Article

References (32)

1. Barker D.W., Sawyer J.E. Using active canopy sensing to adjust nitrogen application rate in corn. Agron. J. 2012, 104:926-933.
2. Berger B., Parent B., Tester M. High-throughput shoot imaging to study drought responses. J. Exp. Bot. 2010, 61:3519-3528.
3. Casa R., Baret F., Buis S., Lopez-Lozano R., Pascucci S., Palombo A., Jones H.G. Estimation of maize canopy properties from remote sensing by inversion of 1-D and 4-D models. Precision Agric. 2010, 11:319-334.
4. Comar A., Burger P., de Solan B., Baret F., Daumard F., Hanocq J.-F. A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: description and first results. Funct. Plant Biol. 2012, 39:914-924.
5. Drouet J.-L., Bonhomme R. Do variations in local leaf irradiance explain changes to leaf nitrogen within row maize canopies?. Ann. Bot. (Lond.) 1999, 84:61-69.
6. Erdle K., Mistele B., Schmidhalter U. Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars. Field Crops Res. 2011, 124:744-784.
7. 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. Field Crops Res. 2013, 141:16-21.
8. Fitzgerald G., Rodriguez D., O'Leary G. Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index - the canopy chlorophyll content index (CCCI). Field Crops Res. 2010, 116:318-324.
9. Freeman K.W., Girma K., Arnall D.B., Mullen R.W., Martin K.L., Teal R.K., Raun W.R. By-plant prediction of corn forage biomass and nitrogen uptake at various growth stages using remote sensing and plant height. Agron. J. 2007, 99:530-536.
10. Furbank R.T., Tester M. Phenomics - technologies to relieve the phenotyping bottleneck. Trends Plant Sci. 2011, 16:635-644.
11. Gao M., Van der Heijden G.W.A.M., Vos J., Eveleens B.A., Marcelis L.F.M. Estimation of leaf area for large scale phenotyping and modeling of rose genotype. Sci. Hortic. 2012, 138:227-234.
12. Gastal F., Lemaire G. N uptake and distribution in crops: an agronomical and ecophysiological perspective. J. Exp. Bot. 2002, 53:789-799.
13. Guo J., Wang X., Meng Z., Zhao C., Yu Z., Chen L. Study on diagnosing nitrogen nutrition status of corn using Greenseeker and SPAD meter. Plant Nutr. Fertil. Sci. 2008, 1:6.
14. Hatfield J.L., Gitelson A.A., Schepers J.S., Walthall C.L. Application of spectral remote sensing for agronomic decisions. Agron. J. 2008, 100:117-131.
15. Hong S.-D., Schepers J.S., Francis D.D., Schlemmer M.R. Comparison of ground-based remote sensors for evaluation of corn biomass affected by nitrogen stress. Commun. Soil Sci. Plant Anal. 2007, 38:2209-2226.
16. Kipp S., Mistele B., Schmidhalter U. Active sensor performance - dependence on measuring height, device temperature and light intensity. 11th International Conference on Precision Agriculture. Indianapolis, Indiana, USA 2012.
17. Mistele B., Schmidhalter U. Spectral measurements of the total aerial N and biomass dry weight in maize using a quadrilateral-view optic. Field Crops Res. 2008, 106:94-103.
18. Mistele B., Schmidhalter U. Tractor-based quadrilateral spectral reflectance measurements to detect biomass and total aerial nitrogen in winter wheat. Agron. J. 2010, 102:499-506.
19. Montes J.M., Technow F., Dhillon B.S., Mauch F., Melchinger A.E. High throughput non-destructive biomass determination during early plant development in maize under field conditions. Field Crops Res. 2011, 121:268-273.
20. Nicotra A.B., Davidson A. Adaptive phenotypic plasticity and plant water use. Funct. Plant Biol. 2010, 37:117-127.
21. Passioura J.B. Phenotyping for drought tolerance in grain crops: when is it useful to breeders?. Funct. Plant Biol. 2012, 39:851-859.
22. Schmidt J., Beegle D., Zhu Q., Sripada R. Improving in-season nitrogen recommendations for maize using an active sensor. Field Crops Res. 2011, 120:94-101.
23. Solari F., Shanahan J., Ferguson R., Schepers J., Gitelson A. Active sensor reflectance measurements of corn nitrogen status and yield potential. Agron. J. 2008, 100:571-579.
24. Thoren D., Thoren P., Schmidhalter U. Influence of ambient light and temperature on laser-induced chlorophyll fluorescence measurements. Eur. J. Agron. 2010, 32:169-176.
25. Viscarra Rossel R.A. ParLeS: software for chemometric analysis of spectroscopic data. Chemom. Intell. Lab. Syst. 2008, 90:72-83.
26. Walter A., Studer B., Kölliker R. Advanced phenotyping offers opportunities for improved breeding of forage and turf species. Ann. Bot. (Lond.) 2012, 10.1093/aob/mcs026.
27. Wang Z., Wang J., Zhao C., Zhao M., Huang W., Wang C. Vertical distribution of nitrogen in different layers of leaf and stem and their relationship with grain quality of winter wheat. J. Plant Nutr. 2005, 28:73-91.
28. White J.W., Andrade-Sanchez P., Gore M.A., Bronson K.F., Coffelt T.A., Conley M.M., Feldmann K.A., French A.N., Heun J.T., Hunsaker D.J., Jenks M.A., Kimball B.A., Roth R.L., Strand R.J., Thorp K.R., Wall G.W., Wang G. Field-based phenomics for plant genetics research. Field Crops Res. 2012, 133:101-112.
29. 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. Crop Sci. 2011, 51:479-489.
30. 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. Eur. J. Agron. 2011, 35:224-232.
31. Winterhalter L. High Throughput Phenotyping of Field-Grown Maize: Assessing Important Agronomical Traits 2012, Technische Universität München. Südwestdeutscher Verlag für Hochschulschriften, Germany, (Ph.D. diss.).
32. Winterhalter L., Mistele B., Schmidhalter U. Assessing the vertical footprint of reflectance measurements to characterize nitrogen uptake and biomass distribution in maize canopies. Field Crops Res. 2012, 129:144-229.