High-Throughput Phenotyping of Wheat and Barley Plants Grown in Single or Few Rows in Small Plots Using Active and Passive Spectral Proximal Sensing

Article English OPEN
Barmeier, Gero;Schmidhalter, Urs;
(2016)
  • Publisher: MDPI
  • Journal: Sensors (Basel, Switzerland), volume 16, issue 11 (issn: 1424-8220, eissn: 1424-8220)
  • Publisher copyright policies & self-archiving
  • Identifiers: doi: 10.3390/s16111860, pmc: PMC5134519
  • Subject: border-row effect | TP1-1185 | precision | plant breeding | phenotyping | Article | plot design | high-throughput | spectral proximal sensing | Chemical technology | phenomics
    • ddc: ddc:
    mesheuropmc: food and beverages

In the early stages of plant breeding, breeders evaluate a large number of varieties. Due to limited availability of seeds and space, plot sizes may range from one to four rows. Spectral proximal sensors can be used in place of labour-intensive methods to estimate speci... View more
  • References (23)
    23 references, page 1 of 3

    Brown, J., Caligari, P.D.S.. An Introduction to Plant Breeding. 2008

    Acquaah, G.. Principles of Plant Genetics and Breeding. 2012

    Petersen, R.G.. Agricultural Field Experiments: Design and Analysis. 1994

    Romani, M., Borghi, B., Alberici, R., Delogu, G., Hesselbach, J., Salamini, F.. Intergenotypic competition and border effect in bread wheat and barley. Euphytica. 1993; 69: 19-31

    Austin, R.B., Blackwell, R.D.. Edge and neighbor effects in cereal yield trials. J. Agric. Sci.. 1980; 94: 731-734

    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.. Field-based phenomics for plant genetics research. Field Crops Res.. 2012; 133: 101-112

    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: 16-26

    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: 74-84

    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. Eur. J. Agron.. 2016; 78: 44-59

    Winterhalter, L., Mistele, B., Schmidhalter, U.. Evaluation of active and passive sensor systems in the field to phenotype maize hybrids with high-throughput. Field Crops Res.. 2013; 154: 236-245

  • Metrics
Share - Bookmark