000			02941nab|a22004217a|4500
999			_c63358 _d63350
001			63358
003			MX-TxCIM
005			20211006085223.0
008			201209s2021||||xxk|||p|op||||00||0|eng|d
022			_a2045-2322
024	8		_ahttps://doi.org/10.1038/s41598-020-80391-1
040			_aMX-TxCIM
041			_aeng
100	0		_aShufang Li _918567
245	1	0	_aDetection of QTNs for kernel moisture concentration and kernel dehydration rate before physiological maturity in maize using multi-locus GWAS
260			_aLondon (United Kingdom) : _bNature Publishing Group, _c2021.
500			_aPeer review
500			_aOpen Access
520			_aMaize is China’s largest grain crop. Mechanical grain harvesting is the key technology in maize production, and the kernel moisture concentration (KMC) is the main controlling factor in mechanical maize harvesting in China. The kernel dehydration rate (KDR) is closely related to the KMC. Thus, it is important to conduct genome-wide association studies (GWAS) of the KMC and KDR in maize, detect relevant quantitative trait nucleotides (QTNs), and mine relevant candidate genes. Here, 132 maize inbred lines were used to measure the KMC every 5 days from 10 to 40 days after pollination (DAP) in order to calculate the KDR. These lines were genotyped using a maize 55K single-nucleotide polymorphism array. QTNs for the KMC and KDR were detected based on five methods (mrMLM, FASTmrMLM, FASTmrEMMA, pLARmEB, and ISIS EM-BLASSO) in the package mrMLM. A total of 334 significant QTNs were found for both the KMC and KDR, including 175 QTNs unique to the KMC and 178 QTNs unique to the KDR; 116 and 58 QTNs were detected among the 334 QTNs by two and more than two methods, respectively; and 9 and 5 QTNs among 58 QTNs were detected in 2 and 3 years, respectively. A significant enrichment in cellular component was revealed by Gene Ontology enrichment analysis of candidate genes in the intervals adjacent to the 14 QTNs and this category contained five genes. The information provided in this study may be useful for further mining of genes associated with the KMC and KDR in maize.
546			_aText in English
650		7	_aPlant Genetics _2AGROVOC _99025
650		7	_aMaize _gAGROVOC _2 _91173
650		7	_aKernels _2AGROVOC _91168
650		7	_aMoisture content _2AGROVOC _912723
650		7	_aDehydration _2AGROVOC _918568
700	0		_aChunxiao Zhang _918569
700	0		_aDeguang Yang _918570
700	0		_aLu Ming _911946
700	0		_aYiliang Qian _918571
700	0		_aFengxue Jin _918572
700	0		_aXueyan Liu _918573
700	0		_aYu Wang _916525
700	0		_aWenguo Liu _918574
700	0		_aXiaohui Li _918575
773	0		_gv. 11, art. 1764 _dLondon (United Kingdom) : Nature Publishing Group, 2021. _x2045-2322 _tNature Scientific Reports _wa58025
856	4		_yClick here to access online _uhttps://doi.org/10.1038/s41598-020-80391-1
942			_cJA _n0 _2ddc