| 000 | 03393nab a22004577a 4500 | ||
|---|---|---|---|
| 001 | G83020 | ||
| 003 | MX-TxCIM | ||
| 005 | 20230918193150.0 | ||
| 008 | 210908s2006 xxu|||p|op||| 00| 0 eng d | ||
| 022 | _a1435-0653 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.2135/cropsci2005.0059 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 090 | _aCIS-4663 | ||
| 100 | 1 |
_aBabar, M.A. _916529 |
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| 245 | 1 | 0 | _aSpectral reflectance indices as a potential indirect selection criteria for wheat yield under irrigation |
| 260 |
_aUSA : _bCSSA : _bWiley, _c2006. |
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| 340 | _aPrinted|Computer File | ||
| 500 | _aPeer review | ||
| 500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0011-183X | ||
| 520 | _aThe objectives of this study were to assess the potential of using spectral reflectance indices (SRI) as an indirect selection tool to differentiate spring wheat (Triticum aestivum L.) genotypes for grain yield under irrigated conditions. This paper demonstrates only the first step in using the SRI as indirect selection criteria by reporting genetic variation for SRI among genotypes, the effect of phenology and year on SRI and their interaction with genotypes, and the correlations between SRI and grain yield and yield components of wheat. Three field experiments—15 CIMMYT globally adapted genotypes (GHIST), 25 random F3–derived lines (RLs1), and 36 random F3–derived lines (RLs2)—were conducted under irrigated conditions at the CIMMYT research station in northwest Mexico in three different years. Five previously developed SRI (photochemical reflectance index [PRI], water index [WI], red normalized difference vegetation index [RNDVI], green normalized difference vegetation index [GNDVI], simple ratio [SR]) and two newly calculated SRI (normalized water index-1 [NWI-1] and normalized water index-2 [NWI-2]) were evaluated in the experiments. In general, genotypic variation for all the indices was significant. Near infrared radiation (NIR)–based indices (WI, NWI-1, NWI-2) gave the highest levels of association with grain yield during the 3 yr of the study. A clear trend for higher association between grain yield and the NIR-based indices was observed at heading and grainfilling than at booting. Overall, NIR-based indices were more consistent and differentiated grain yield more effectively compared to the other indices. The results demonstrated the potential of using SRI as a tool in breeding programs for selecting for increased genetic gains for yield. | ||
| 536 | _aGlobal Wheat Program | ||
| 546 | _aText in English | ||
| 591 | _a0602|Crop Science Society of America (CSSA) | ||
| 592 | _aUS-OklaSU 2005 BABAR D rf | ||
| 594 | _aINT1511 | ||
| 650 | 7 |
_2AGROVOC _91310 _aWheat |
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| 650 | 7 |
_2AGROVOC _94070 _aSpectral analysis |
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| 650 | 7 |
_2AGROVOC _91313 _aYields |
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| 650 | 7 |
_2AGROVOC _92445 _aSelection criteria |
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| 700 | 1 |
_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831 |
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| 700 | 1 |
_997 _aGinkel, M. Van |
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| 700 | 1 |
_916530 _aKlatt, A.R. |
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| 700 | 1 |
_97476 _aRaun, W.R. |
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| 700 | 1 |
_916531 _aStone, M.L. |
|
| 740 | _a83020 | ||
| 740 | _a89117 | ||
| 773 | 0 |
_tCrop Science _n633945 _gv. 46, no. 2, p. 578-588 _dUSA : CSSA : Wiley, 2006. _wG444244 _x1435-0653 |
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| 856 | 4 |
_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/1503 |
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| 942 |
_cJA _2ddc _n0 |
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| 999 |
_c26152 _d26152 |
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