Using spectral reflectance as a selection tool for yield and biomass in spring wheat
Material type:
TextLanguage: English Publication details: Mexico, DF (Mexico) : CIMMYT, 2003.Description: 2 pagesISBN: - 970-648-106-0
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
| Abstract or summary | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Staff Publications Collection | CIS-3858 (Browse shelf(Opens below)) | 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
Text in English
0311|AGRIS 0301|AL-Wheat Program
INT1511
CIMMYT Staff Publications Collection
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