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NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions

Creator: Cabrera-Bosquet, L.
Creator: Molero, G.
Creator: Stellacci, A.M.
Creator: Bort, J.
Creator: Nogués, S.
Creator: Araus, J.L.
Year: 2011
URI: https://hdl.handle.net/10883/21124
Language: English
Publisher: Akadémiai Kiadó
Publisher: Springer
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: Szeged (Hungary)
Pages: 147-159
Issue: 1
Volume: 39
DOI: 10.1556/CRC.39.2011.1.15
Keywords: NDVI
Keywords: Active Sensors
Keywords: Green Area
Publisher URI: https://link.springer.com/article/10.1556/CRC.39.2011.1.15
Publisher URI: https://akjournals.com/view/journals/0806/39/1/article-p147.xml
Description: The application of spectroradiometric index such as the normalized difference vegetation index (NDVI) to assess green biomass or nitrogen (N) content has focused on the plant canopy in precision agriculture or breeding programs. However, little is known about the usefulness of these techniques in isolated plants. The few reports available propose the use of a spectroradiometer in combination with special adaptors that improve signal acquisition from plants, but this makes measurements relatively slow and unsuitable. Here we studied the direct use (i.e. without adaptors) of a commercial cost-effective spectroradiometer, GreenSeeker? (NTech Industries Ins., Ukiah, California, USA) provided with an active sensor (i.e. equipped with its own source of radiation) for measuring NDVI in four genotypes of durum wheat (Triticum turgidum L. var. durum) grown in pots under a range of water and N regimes. Strong correlations were observed between NDVI measurements and dry aboveground biomass (AB), total green area (TGA), green area without spikes (GA) and aboveground N content (AN). To prove the predictive ability of NDVI measured under potted conditions, linear regression models for each growth trait and for plant N content were built with the data of two genotypes. The models accurately predicted growth traits and N content, confirming the direct relationship between total plant biomass and spectroradiometric readings.
Agrovoc: SPECTRORADIOMETERS
Agrovoc: NORMALIZED DIFFERENCE VEGETATION INDEX
Agrovoc: BIOMASS
Agrovoc: NITROGEN CONTENT
Agrovoc: WHEAT
ISSN: 0133-3720
Journal: Cereal Research Communications


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  • Wheat
    Wheat - breeding, phytopathology, physiology, quality, biotech

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