| 000 | 02833nab a22003737a 4500 | ||
|---|---|---|---|
| 001 | 61212 | ||
| 003 | MX-TxCIM | ||
| 005 | 20240111210912.0 | ||
| 008 | 200115s2020 sz |||p|op||| 00| 0 eng d | ||
| 022 | _a1422-0067 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.3390/ijms21020543 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aTadesse, B. _8001712791 _gGlobal Maize Program _91821 |
|
| 245 | 1 | 0 | _aGenetic dissection of grain yield and agronomic traits in maize under optimum and low-nitrogen stressed environments |
| 260 |
_aBasel (Switzerland) : _bMDPI, _c2020. |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aUnderstanding the genetic basis of maize grain yield and other traits under low-nitrogen (N) stressed environments could improve selection efficiency. In this study, five doubled haploid (DH) populations were evaluated under optimum and N-stressed conditions, during the main rainy season and off-season in Kenya and Rwanda, from 2014 to 2015. Identifying the genomic regions associated with grain yield (GY), anthesis date (AD), anthesis-silking interval (ASI), plant height (PH), ear height (EH), ear position (EPO), and leaf senescence (SEN) under optimum and N-stressed environments could facilitate the use of marker-assisted selection to develop N-use-efficient maize varieties. DH lines were genotyped with genotyping by sequencing. A total of 13, 43, 13, 25, 30, 21, and 10 QTL were identified for GY, AD ASI, PH, EH, EPO, and SEN, respectively. For GY, PH, EH, and SEN, the highest number of QTL was found under low-N environments. No common QTL between optimum and low-N stressed conditions were identified for GY and ASI. For secondary traits, there were some common QTL for optimum and low-N conditions. Most QTL conferring tolerance to N stress was on a different chromosome position under optimum conditions. | ||
| 526 |
_aMCRP _bFP2 _bFP3 |
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| 546 | _aText in English | ||
| 650 | 7 |
_2AGROVOC _92912 _aNitrogen |
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| 650 | 7 |
_aMaize _2AGROVOC _91173 |
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| 650 | 7 |
_2AGROVOC _910737 _aMarker-assisted selection |
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| 650 | 7 |
_2AGROVOC _91853 _aQuantitative Trait Loci |
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| 700 | 1 |
_8INT3333 _9923 _aOlsen, M. _gGlobal Maize Program |
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| 700 | 1 |
_aDas, B. _gGlobal Maize Program _gExcellence in Breeding _8INT2825 _9863 |
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| 700 | 1 |
_8I1705963 _9795 _aGowda, M. _gGlobal Maize Program |
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| 700 | 1 |
_92259 _aLabuschagne, M. |
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| 773 | 0 |
_dBasel (Switzerland) : MDPI, 2020. _gv. 21, no. 2, art. 543 _tInternational Journal of Molecular Sciences _w57216 _x1422-0067 |
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| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/20615 |
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| 942 |
_2ddc _cJA _n0 |
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| 999 |
_c61212 _d61204 |
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