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003 MX-TxCIM
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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) :
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
942 _cJA
_n0
_2ddc
999 _c65782
_d65774