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Using spectral reflectance as a selection tool for yield and biomass in spring wheat

By: Babar, M.A | Centro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT), Mexico DF (Mexico).
Contributor(s): Klatt, A.R [coaut.] | Raun, W.R [coaut.] | Reynolds, M.P [coaut.] | Ginkel, M. Van.
Material type: materialTypeLabelBookAnalytics: Show analyticsPublisher: Mexico, DF (Mexico) CIMMYT : 2003Description: p. 228-229.ISBN: 970-648-106-0.Subject(s): Crop husbandry | Irradiation | Photosystems | Plant physiology | Technology | Wheat | Yield factors | Genotypes AGROVOC | Plant breeding AGROVOCSummary: Spectral reflectance (SR) can be used to estimate a range of physiological traits, including leaf area index (LAI), water index, chlorophyn concentration, and photosynthetically active radiation. The normalized difference vegetative index (NDVI) is the most widely used spectral vegetative index, and is positively correlated with crop dry matter, LAI, and green area index (GAI) (Femandez et al. 1994). It has been used to estimate photosynthetic capadty (Sener 1987). In-season grain yield can be predicted based on the canopy reflectance (NDVI) in winter wheat (Raun et al. 2001). The use of SR in plant breeding to distinguish genotypes has been limited and undertaken primarily in drought conditions. NDVI becomes ineffective when LAI exceeds three (Aparido et al. 2000; Gamon et al. 1995). The purpose of this study was to determine ifother wavelengths were better correlated with the yield and biomass variability of an array of spring wheat genotypes under irrigated conditions.Collection: CIMMYT Staff Publications Collection
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Conference proceedings CIMMYT Knowledge Center: John Woolston Library

Lic. Jose Juan Caballero Flores

 

CIMMYT Staff Publications Collection CIS-3858 (Browse shelf) 1 Available 632556
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Spectral reflectance (SR) can be used to estimate a range of physiological traits, including leaf area index (LAI), water index, chlorophyn concentration, and photosynthetically active radiation. The normalized difference vegetative index (NDVI) is the most widely used spectral vegetative index, and is positively correlated with crop dry matter, LAI, and green area index (GAI) (Femandez et al. 1994). It has been used to estimate photosynthetic capadty (Sener 1987). In-season grain yield can be predicted based on the canopy reflectance (NDVI) in winter wheat (Raun et al. 2001). The use of SR in plant breeding to distinguish genotypes has been limited and undertaken primarily in drought conditions. NDVI becomes ineffective when LAI exceeds three (Aparido et al. 2000; Gamon et al. 1995). The purpose of this study was to determine ifother wavelengths were better correlated with the yield and biomass variability of an array of spring wheat genotypes under irrigated conditions.

Global Wheat Program

English

0311|AGRIS 0301|AL-Wheat Program

Juan Carlos Mendieta

INT1511

CIMMYT Staff Publications Collection

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