000 | 03859nab|a22005177a|4500 | ||
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001 | 65782 | ||
003 | MX-TxCIM | ||
005 | 20230731172212.0 | ||
008 | 202211s2022||||mx |||p|op||||00||0|eng|d | ||
022 | _a2223-7747 (Online) | ||
024 | 8 | _ahttps://doi.org/10.3390/plants11223092 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 0 |
_aJingtao Qu _917341 |
|
245 | 1 | 0 | _aLow-density reference fingerprinting SNP dataset of CIMMYT maize lines for quality control and genetic diversity analyses |
260 |
_bMDPI, _c2022. _aBasel (Switzerland) : |
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500 | _aPeer review | ||
500 | _aOpen Access | ||
520 | _aCIMMYT maize lines (CMLs), which represent the tropical maize germplasm, are freely available worldwide. All currently released 615 CMLs and fourteen temperate maize inbred lines were genotyped with 180 kompetitive allele-specific PCR single nucleotide polymorphisms to develop a reference fingerprinting SNP dataset that can be used to perform quality control (QC) and genetic diversity analyses. The QC analysis identified 25 CMLs with purity, identity, or mislabeling issues. Further field observation, purification, and re-genotyping of these CMLs are required. The reference fingerprinting SNP dataset was developed for all of the currently released CMLs with 152 high-quality SNPs. The results of principal component analysis and average genetic distances between subgroups showed a clear genetic divergence between temperate and tropical maize, whereas the three tropical subgroups partially overlapped with one another. More than 99% of the pairs of CMLs had genetic distances greater than 0.30, showing their high genetic diversity, and most CMLs are distantly related. The heterotic patterns, estimated with the molecular markers, are consistent with those estimated using pedigree information in two major maize breeding programs at CIMMYT. These research findings are helpful for ensuring the regeneration and distribution of the true CMLs, via QC analysis, and for facilitating the effective utilization of the CMLs, globally. | ||
546 | _aText in English | ||
591 | _aJingtao Qu : Not in IRS staff list but CIMMYT Affiliation | ||
610 | 2 | 7 |
_9978 _aCentro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT) |
650 | 7 |
_aHeterotic groups _2AGROVOC _929280 |
|
650 | 7 |
_aQuality control _2AGROVOC _91232 |
|
650 | 0 |
_aSingle nucleotide polymorphisms _gAGROVOC _910805 |
|
650 | 7 |
_aMaize _2AGROVOC _91173 |
|
650 | 7 |
_aData _2AGROVOC _99002 |
|
700 | 1 |
_aChassaigne, A.A. _gGlobal Maize Program _gGenetic Resources Program _8I1705962 _9794 |
|
700 | 0 |
_aFengling Fu _928258 |
|
700 | 0 |
_aHaoqiang Yu _928259 |
|
700 | 1 |
_aDreher, K.A. _8I1706147 _9808 _gGenetic Resources Program |
|
700 | 1 |
_aNair, S.K. _8INT3232 _91434 _gGlobal Maize Program |
|
700 | 1 |
_aGowda, M. _8I1705963 _9795 _gGlobal Maize Program |
|
700 | 1 |
_aBeyene, Y. _8INT2891 _9870 _gGlobal Maize Program |
|
700 | 1 |
_aMakumbi, D. _8INT2765 _9858 _gGlobal Maize Program |
|
700 | 1 |
_aDhliwayo, T. _8INT3355 _9935 _gGlobal Maize Program |
|
700 | 1 |
_aSan Vicente, F.M. _8INT3035 _9884 _gGlobal Maize Program |
|
700 | 1 |
_aOlsen, M. _8INT3333 _9923 _gGlobal Maize Program |
|
700 | 1 |
_aPrasanna, B.M. _8INT3057 _9887 _gGlobal Maize Program |
|
700 | 0 |
_aWanchen Li _924648 |
|
700 | 0 |
_aXuecai Zhang _gGlobal Maize Program _8INT3400 _9951 |
|
773 | 0 |
_tPlants _gv. 11, no. 22, art. 3092 _dBasel (Switzerland) : MDPI, 2022. _x2223-7747 |
|
856 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/22329 |
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942 |
_cJA _n0 _2ddc |
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999 |
_c65782 _d65774 |