| 000 | 03284nab a22003737a 4500 | ||
|---|---|---|---|
| 001 | 58188 | ||
| 003 | MX-TxCIM | ||
| 005 | 20250211020917.0 | ||
| 008 | 160126s2016 ne |||p|op||| 00| 0 eng d | ||
| 024 | 8 | _ahttps://doi.org/10.1016/j.fcr.2016.06.021 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_94069 _aMontazeaud, G. |
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| 245 | 1 | 0 | _aPredicting wheat maturity and stay-green parameters by modeling spectral reflectance measurements and their contribution to grainyield under rainfed conditions |
| 260 |
_aAmsterdam, Netherlands : _bElsevier, _c2016. |
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| 500 | _aPeer review | ||
| 520 | _aThe normalized difference vegetation index (NDVI) continues to provide easy and fast methodologies to characterize wheat genetic resources in response to abiotic stresses. This study identifies ways to maximize green leaf area duration during grain filling and develops NDVI models to predict physiological maturity and different stay −green parameters to increase grain yield of rainfed winter wheat under terminal drought. Three wheat populations were evaluated: one containing 240 landraces from Afghanistan, the second with 250 modern lines and varieties, tested for two years under low rainfall conditions in Turkey, and the third with 291 landraces from Central and Western Asia (grown for one year in the same location). The onset of senescence, maximum "greenness", rate of senescence and residual "greenness" at physiological maturity were estimated using sequential measurements of NDVI and have shown significant correlations with grain yield under low rainfall rainfed conditions. Trade-offs were identified among the different stay −green attributes, e.g. delayed onset of senescence and high maximum "greenness" resulted in accelerated rates of senescence and highest yields and were most evident in the landrace populations. It is concluded, that the use of rate of senescence to select for stay −green must be coupled with other stay −green components, e.g. onset of senescence or maximum "greenness" to avoid the effects of the trade-offs on final grain yield. The NDVI decay curves (using the last three NDVI measurements up to maturity) were used to estimate days to maturity using the NDVI decay during the senescence period and days to heading. A training and testing set (20 and 80% of each population, respectively) were used for calibrations allowing for correlations between predicted and observed maturity of up to r = +0.85 (P < 0.0001). This procedure will facilitate large −scale wheat phenotyping in the future. | ||
| 526 |
_aWC _cFP2 |
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| 546 | _aText in English | ||
| 650 | 7 |
_aWheat _gAGROVOC _2 _91310 |
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| 650 | 0 |
_94070 _aSpectral analysis |
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| 651 | 0 |
_94026 _aAsia |
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| 700 | 1 |
_94071 _aKaratogma, H. |
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| 700 | 1 |
_94072 _aOzturk, I. |
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| 700 | 1 |
_94073 _aRoumet, P. |
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| 700 | 1 |
_94074 _aEcarnot, M. |
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| 700 | 1 |
_9637 _aOzer, E. |
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| 700 | 1 |
_9636 _aOzdemir, F. |
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| 700 | 1 |
_9865 _aLopes, M.S. _gGlobal Wheat Program _8INT2835 |
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| 700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
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| 773 | 0 |
_wu444314 _x0378-4290 (Print) _dAmsterdam (Netherlands) : Elsevier _tField Crops Research _gv. 196, p. 191-198 |
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| 856 | 4 |
_yAccess only for CIMMYT Staff _uhttp://libcatalog.cimmyt.org/Download/cis/58188.pdf |
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| 942 |
_2ddc _cJA |
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| 999 |
_c58188 _d58180 |
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