| 000 | 03100nab|a22004577a|4500 | ||
|---|---|---|---|
| 999 |
_c64198 _d64190 |
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| 001 | 64198 | ||
| 003 | MX-TxCIM | ||
| 005 | 20230731172211.0 | ||
| 008 | 202101s2020||||ne |||p|op||||00||0|eng|d | ||
| 022 | _a1380-3743 | ||
| 022 | _a1572-9788 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1007/s11032-020-01163-3 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 0 |
_aKunhui He _922961 |
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| 245 | 1 | 0 | _aMining of candidate genes for nitrogen use efficiency in maize based on genome-wide association study |
| 260 |
_aDordrecht (Netherlands) : _bSpringer, _c2020. |
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| 500 | _aPeer review | ||
| 520 | _aImproving the nitrogen use efficiency (NUE) may considerably increase maize yield and decrease the use of nitrogen (N) fertilizer. But the genetic basis of NUE in maize is still poorly understood. In this study, an association panel of 139 maize inbred lines genotyped with 50,790 single nucleotide polymorphism (SNP) was used to dissect the genetic basis of NUE-related traits by genome-wide association study (GWAS). NUE, N uptake efficiency (NupE), N utilization efficiency (NutE), grain N concentration (GNC), stover N concentration (SNC) and N harvest index (NHI) were estimated under two N levels. GWAS was performed using a fixed and random model circulating probability unification (FarmCUP) method. In total, 27 and 23 significant SNP-traits association signals were identified under normal and low N levels. In addition, 10 significant association signals were detected based on the traits relative value (normal N supply / low N supply) of two N levels. Further, 60 candidate genes were predicted for these traits base on linkage disequilibrium (LD) and low nitrogen transcriptome analysis of significant SNP regions. Among the candidate genes identified in this study, 66.7% involved in nitrogen compound metabolic process. Zm00001d025831 and Zm00001d004633 encoded ammonium transporter1 and transmembrane amino acid transporter family protein, respectively, may be important candidate genes for NUE. The markers identified in this study maybe has important significance and could be useful in molecular marker assisted selection in breeding of high-NUE maize varieties, and the candidate genes could deepen the understanding of the genetic basis of NUE. | ||
| 546 | _aText in English | ||
| 650 | 7 |
_aMaize _gAGROVOC _2 _91173 |
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| 650 | 7 |
_aNitrogen _2AGROVOC _92912 |
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| 650 | 0 |
_aSingle nucleotide polymorphisms _gAGROVOC _910805 |
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| 650 | 7 |
_aGenes _2AGROVOC _93563 |
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| 700 | 0 |
_aShuTu Xu _919530 |
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| 700 | 0 |
_aXinghua Zhang _922962 |
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| 700 | 0 |
_aYanan Li _922963 |
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| 700 | 0 |
_aLiguo Chang _922964 |
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| 700 | 0 |
_aYahui Wang _922965 |
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| 700 | 0 |
_aYaqin Shi _922966 |
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| 700 | 0 |
_aTingting Cui _922967 |
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| 700 | 0 |
_aYuan Dong _922968 |
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| 700 | 0 |
_aTianru Lan _922969 |
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| 700 | 0 |
_aXueyan Liu _918573 |
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| 700 | 0 |
_aYutang Du _922970 |
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| 700 | 0 |
_aRenhe Zhang _922971 |
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| 700 | 0 |
_aJianchao Liu _922972 |
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| 700 | 0 |
_aJiquan Xue _922973 |
|
| 773 | 0 |
_tMolecular Breeding _dDordrecht (Netherlands) : Springer, 2020. _x1380-3743 _gv. 40, no. 9, art. 83 _wu78961 |
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| 942 |
_cJA _n0 _2ddc |
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