000 | 03082nab a22004697a 4500 | ||
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001 | G98469 | ||
003 | MX-TxCIM | ||
005 | 20211124155601.0 | ||
008 | 211124s2013 gw |||p|op||| 00| 0 eng d | ||
022 | _a1432-2242 (Online) | ||
022 | _a0040-5752 | ||
024 | 8 | _ahttps://doi.org/10.1007/s00122-013-2158-x | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
090 | _aCIS-7436 | ||
100 | 0 |
_aYadong Xue _925265 |
|
245 | 1 | 0 | _aGenome-wide association analysis for nine agronomic traits in maize under well-watered and water-stressed conditions |
260 |
_aBerlin (Germany) : _bSpringer, _c2013. |
||
500 | _aPeer review | ||
500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752 | ||
520 | _aDrought can cause severe reduction in maize production, and strongly threatens crop yields. To dissect this complex trait and identify superior alleles, 350 tropical and subtropical maize inbred lines were genotyped using a 1536-SNP array developed from drought-related genes and an array of 56,110 random SNPs. The inbred lines were crossed with a common tester, CML312, and the testcrosses were phenotyped for nine traits under well-watered and water-stressed conditions in seven environments. Using genome-wide association mapping with correction for population structure, 42 associated SNPs (P ≤ 2.25 × 10−6 0.1/N) were identified, located in 33 genes for 126 trait × environment × treatment combinations. Of these genes, three were co-localized to drought-related QTL regions. Gene GRMZM2G125777 was strongly associated with ear relative position, hundred kernel weight and timing of male and female flowering, and encodes NAC domain-containing protein 2, a transcription factor expressed in different tissues. These results provide some good information for understanding the genetic basis for drought tolerance and further studies on identified candidate genes should illuminate mechanisms of drought tolerance and provide tools for designing drought-tolerant maize cultivars tailored to different environmental scenarios. | ||
536 | _aGlobal Maize Program | ||
546 | _aText in English | ||
591 | _aSpringer|No CIMMYT affiliation (Gethi, J.)|CIMMYT Informa No. 1873 | ||
594 | _aINT2735|INT3343 | ||
595 | _aCSC | ||
700 | 1 |
_aWarburton, M.L. _94138 |
|
700 | 1 |
_aSawkins, M. C. _96567 |
|
700 | 0 |
_aXuehai Zhang _919695 |
|
700 |
_aSetter, T.L. _96557 |
||
700 | 1 |
_9857 _aYunbi Xu _gGlobal Maize Program _8INT2735 |
|
700 | 1 |
_aGrudloyma, P. _92050 |
|
700 | 1 |
_9927 _aGethi, J. _gGlobal Maize Program _8INT3343 |
|
700 | 1 |
_9835 _aRibaut, J.M. _gIntegrated Breeding Platform _8INT1991 |
|
700 | 0 |
_aWanchen Li _924648 |
|
700 | 0 |
_aXiaobo Zhang _925266 |
|
700 | 0 |
_aYonglian Zheng _924631 |
|
700 | 1 |
_9398 _aJianbing Yan |
|
773 | 0 |
_tTheoretical and Applied Genetics _gv. 126, no. 10, p. 2587-2596 _dBerlin (Germany) : Springer, 2013. _wG444762 _x0040-5752 |
|
856 | 4 |
_uhttps://hdl.handle.net/20.500.12665/1017 _yAccess only for CIMMYT Staff |
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942 |
_cJA _2ddc _n0 |
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999 |
_c30365 _d30365 |