000 | 03054nab a22004697a 4500 | ||
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001 | G96491 | ||
003 | MX-TxCIM | ||
005 | 20230704215225.0 | ||
008 | 211111s2012 xxk|||p|op||| 00| 0 eng d | ||
022 | _a1744-7909 (Online) | ||
022 | _a1672-9072 | ||
024 | 8 | _ahttps://doi.org/10.1111/j.1744-7909.2012.01118.x | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
090 | _aCIS-6673 | ||
100 | 1 |
_aMasuka, B. _93375 |
|
245 | 1 | 0 | _aPhenotyping for Abiotic Stress Tolerance in Maize |
260 |
_aUnited Kingdom : _bWiley, _c2012. |
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500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=1672-9072 | ||
500 | _aPeer review | ||
520 | _aThe ability to quickly develop germplasm having tolerance to several complex polygenic inherited abiotic and biotic stresses combined is critical to the resilience of cropping systems in the face of climate change. Molecular breeding offers the tools to accelerate cereal breeding; however, suitable phenotyping protocols are essential to ensure that the much-anticipated benefits of molecular breeding can be realized. To facilitate the full potential of molecular tools, greater emphasis needs to be given to reducing the within-experimental site variability, application of stress and characterization of the environment and appropriate phenotyping tools. Yield is a function of many processes throughout the plant cycle, and thus integrative traits that encompass crop performance over time or organization level (i.e. canopy level) will provide a better alternative to instantaneous measurements which provide only a snapshot of a given plant process. Many new phenotyping tools based on remote sensing are now available including non-destructive measurements of growth-related parameters based on spectral reflectance and infrared thermometry to estimate plant water status. Here we describe key field phenotyping protocols for maize with emphasis on tolerance to drought and low nitrogen. | ||
526 |
_aMCRP _bFP3 |
||
536 | _aGlobal Maize Program|Socioeconomics Program | ||
546 | _aText in English | ||
591 | _aCIMMYT Informa No. 1791 | ||
594 | _aINT2948|INT3032|INT2825|INT3032 | ||
595 | _aCSC | ||
650 | 7 |
_91080 _aDrought _2AGROVOC |
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650 | 7 |
_aNitrogen _2AGROVOC _92912 |
|
650 | 7 |
_aNutrient deficiencies _2AGROVOC _95613 |
|
650 | 7 |
_aAbiotic stress _2AGROVOC _93448 |
|
650 | 7 |
_aResistance varieties _2AGROVOC _93155 |
|
650 | 7 |
_aMaize _91173 _2AGROVOC |
|
650 | 7 |
_aPhenotypes _93634 _2AGROVOC |
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700 | 1 |
_91436 _aAraus, J.L. |
|
700 | 1 |
_aDas, B. _gGlobal Maize Program _gExcellence in Breeding _8INT2825 _9863 |
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700 | 1 |
_aSonder, K. _gSocioeconomics Program _gSustainable Agrifood Systems _8INT3032 _9882 |
|
700 | 1 |
_9879 _aCairns, J.E. _gGlobal Maize Program _8INT2948 |
|
773 | 0 |
_tJournal of Integrative Plant Biology _gv. 54, no. 4, p. 238-249 _dUnited Kingdom : Wiley, 2012. _w56920 _x1744-7909 |
|
856 | 4 |
_uhttps://hdl.handle.net/20.500.12665/856 _yAccess only for CIMMYT Staff |
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942 |
_cJA _2ddc _n0 |
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999 |
_c29108 _d29108 |