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005 | 20240919021102.0 | ||
008 | 121211s ||||f| 0 p|p||0|| | | ||
020 | _a970-648-106-0 | ||
040 | _aMX-TxCIM | ||
041 | _aeng | ||
072 | 0 | _aE16 | |
072 | 0 | _aF63 | |
090 | _aCIS-3858 | ||
100 | 1 |
_aBabar, M.A. _uBook of abstracts: Arnel R. Hallauer international symposium on plant breeding; Arnel R. Hallauer International Symposium on Plant Breeding; Mexico, DF (Mexico); 17-22 Aug 2003 |
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111 | 2 |
_9990 _aArnel R. Hallauer International Symposium on Plant Breeding _cMexico, DF (Mexico) _d17-22 Aug 2003 |
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245 | 1 | 0 | _aUsing spectral reflectance as a selection tool for yield and biomass in spring wheat |
260 |
_aMexico, DF (Mexico) : _bCIMMYT, _c2003. |
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300 | _a2 pages | ||
340 | _aPrinted | ||
520 | _aSpectral 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. | ||
536 | _aGlobal Wheat Program | ||
546 | _aText in English | ||
591 | _a0311|AGRIS 0301|AL-Wheat Program | ||
594 | _aINT1511 | ||
595 | _aCSC | ||
650 | 1 | 7 |
_aCultivation _91071 _2AGROVOC |
650 | 1 | 7 |
_aIrradiation _2AGROVOC _929030 |
650 | 1 | 7 |
_aPhotosystems _2AGROVOC _929031 |
650 | 1 | 7 |
_aPlant physiology _91210 _2AGROVOC |
650 | 1 | 7 |
_aTechnology _91988 _2AGROVOC |
650 | 1 | 7 |
_aWheat _2AGROVOC _91310 |
650 | 1 | 7 |
_aYield factors _2AGROVOC _96137 |
650 | 1 | 7 |
_91134 _aGenotypes _2AGROVOC |
650 | 1 | 7 |
_aPlant breeding _gAGROVOC _2 _91203 |
700 | 1 |
_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831 |
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700 | 1 |
_aKlatt, A.R. _916530 |
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700 | 1 |
_997 _aGinkel, M. Van |
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700 |
_aRaun, W.R. _97476 |
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773 |
_dMexico, DF (Mexico) : CIMMYT, 2003. _gp. 228-229 _tBook of abstracts : Arnel R. Hallauer international symposium on plant breeding _wG76572 _z970-648-106-0 |
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