| 000 | 03069nab a22004457a 4500 | ||
|---|---|---|---|
| 001 | G94672 | ||
| 003 | MX-TxCIM | ||
| 005 | 20230724202926.0 | ||
| 008 | 211110s2011 xxu|||p|op||| 00| 0 eng d | ||
| 022 | _a1520-5118 (Online) | ||
| 022 | 0 | _a0021-8561 | |
| 024 | 8 | _ahttps://doi.org/10.1021/jf103395z | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 090 | _aCIS-6627 | ||
| 100 | 1 |
_aCabrera-Bosquet, L. _94720 |
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| 245 | 1 | 0 | _aNear-infrared reflectance spectroscopy (NIRS) assessment of Delta18O and nitrogen and ash contents for improved yield potential and drought adaptation in maize |
| 260 |
_aWashington, DC (USA) : _bAmerican Chemical Society, _c2011. |
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| 500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0021-8561 | ||
| 500 | _aPeer review | ||
| 520 | _aThe oxygen isotope composition (δ18O), accumulation of minerals (ash content), and nitrogen (N) content in plant tissues have been recently proposed as useful integrative physiological criteria associated with yield potential and drought resistance in maize. This study tested the ability of near-infrared reflectance spectroscopy (NIRS) to predict δ18O and ash and N contents in leaves and mature kernels of maize. The δ18O and ash and N contents were determined in leaf and kernel samples from a set of 15 inbreds and 18 hybrids grown in Mexico under full irrigation and two levels of drought stress. Calibration models between NIRS spectra and the measured variables were developed using modified partial least-squares regressions. Global models (which included inbred lines and hybrids) accurately predicted ash and N contents, whereas prediction of δ18O showed lower results. Moreover, in hybrids, NIRS clearly reflected genotypic differences in leaf and kernel ash and N contents within each water treatment. It was concluded that NIRS can be used as a rapid, cost-effective, and accurate method for predicting ash and N contents and as a method for screening δ18O in maize with promising applications in crop management and maize breeding programs for improved water and nitrogen use efficiency and grain quality. | ||
| 536 | _aGlobal Maize Program | ||
| 546 | _aText in English | ||
| 594 | _aINT2691 | ||
| 595 | _aCSC | ||
| 650 | 7 |
_aAsh content _2AGROVOC _931352 |
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| 650 | 7 |
_aOxygen _2AGROVOC _912478 |
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| 650 | 7 |
_aIsotopes _2AGROVOC _915805 |
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| 650 | 7 |
_aMaize _2AGROVOC _91173 |
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| 650 | 7 |
_aMineral content _2AGROVOC _930651 |
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| 650 | 7 |
_aInfrared spectrophotometry _2AGROVOC _96179 |
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| 650 | 7 |
_aNitrogen _2AGROVOC _92912 |
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| 700 | 1 |
_aSánchez, C. _94725 |
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| 700 | 1 |
_aRosales-Nolasco, A. _92538 _gGlobal Maize Program _8N1202766 |
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| 700 | 1 |
_9850 _aPalacios-Rojas, N. _gGlobal Maize Program _8INT2691 |
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| 700 | 1 |
_aAraus, J.L. _91436 |
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| 773 | 0 |
_tJournal of Agricultural and Food Chemistry _gv. 59, no. 2, p. 467-474 _wG444388 _x0021-8561 _dWashington, DC (USA) : American Chemical Society, 2011. |
|
| 856 | 4 |
_uhttps://hdl.handle.net/20.500.12665/885 _yAccess only for CIMMYT Staff |
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| 942 |
_cJA _2ddc _n0 |
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| 999 |
_c28333 _d28333 |
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