| 000 | 01664naa a22002897a 4500 | ||
|---|---|---|---|
| 001 | 58321 | ||
| 003 | MX-TxCIM | ||
| 005 | 20211006082039.0 | ||
| 008 | 170208s2016 mx ||||| |||| 00| 0 eng d | ||
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_91906 _aSilva-Pérez, V. |
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| 245 | 1 | 0 | _aPredicting physiological traits in wheat landraces using hyperspectral reflectance |
| 260 |
_aMexico : _bCIMMYT, _c2016. |
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| 500 | _aOpen resorce | ||
| 520 | _aThis study investigates if the models predicting Vcmax, Vcmax25, J, Narea, SPAD, LMA, and Vcmax25/Narea with hyperspectral reflectance and partial least square regression (PLSR) can be used in wheat landraces other than those used to train the model. The set of genotypes consisted of 230 wheat landraces and 5 elite wheat genotypes. Reflectance and SPAD were measured in the first survey. From this, 21 wheat landraces and 2 elite wheat genotypes were measured for reflectance, SPAD, J800, LMA, and Narea in a second survey. Previously constructed models using hyperspectral reflectance were able to make useful predictions for J800 and more accurate predictions for SPAD, LMA, and N area. | ||
| 526 |
_aWC _cFP3 |
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| 546 | _aText in English | ||
| 650 | 7 |
_aWheat _gAGROVOC _2 _91310 |
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| 700 | 1 |
_94290 _aCondon, A.G. |
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| 700 | 1 |
_9899 _aMolero, G. _gFormerly Global Wheat Program _8INT3193 |
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| 700 | 1 |
_91909 _aFurbank, R. |
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| 700 | 1 |
_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831 |
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| 773 | 0 |
_wu58303 _dMexico : CIMMYT : USAID : MASAGRO : SAGARPA : CONACYT, 2016. _tProceedings of the 2nd International TRIGO (Wheat) Yield Potential : _gp. 96-101 |
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| 700 | 1 |
_9484 _aEvans, J.R. |
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| 942 |
_2ddc _cPRO |
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| 999 |
_c58321 _d58313 |
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