000			03639nab a22005057a 4500
001			G79598
003			MX-TxCIM
005			20220623225954.0
008			211028s2004 gw |||p|op||| 00| 0 eng d
022			_a1432-2242 (Online)
022			_a0040-5752
024	8		_ahttps://doi.org/10.1007/s00122-004-1626-8
040			_aMX-TxCIM
041			_aeng
072		0	_aA50
072		0	_aF30
090			_aCIS-4048
100	1		_9839 _aGeorge, M.L.C. _gResearch & Partnership Program _8INT2451
245	1	0	_aMolecular characterization of Asian maize inbred lines by multiple laboratories
260			_aBerlin (Germany) : _bSpringer, _c2004.
340			_aComputer File
500			_aPeer review
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752
520			_aThis study focuses on the standardization of techniques across laboratories to enable multiple datasets to be compared and combined in order to obtain reliable and robust wide-scale patterns of diversity. A set of protocols using a core collection of simple sequence repeat (SSR) markers, reference lines and standard alleles, plus a common system of allele nomenclature, was adopted in the study of maize genetic diversity in a network of laboratories in Asia. Pair-wise allele comparisons of the reference lines, done to assess the general agreement between datasets from four laboratories, showed error rates (raw) ranging from 5.8% to 9.7%, which were reduced to less than 8% after adjustments of correctable errors, and further reduced to less than 6% after the exclusion of all markers with greater than 10% individual error rates. Overall, 45% of the total mismatches were due to frameshift errors, 39% to wrong allele size, 15% to failed amplification and 1% to extra alleles. Higher genetic similarity values of the reference lines were achieved using fewer markers with data of higher quality rather than with more markers of questionable quality. Cluster analysis of the merged datasets showed the lines from southern China to be highly diverse, falling into six of the seven clusters observed and all well represented by tester lines. The lines from Indonesia fell into five of six groups, with two main groups represented by tester lines. The CIMMYT lines developed for the Asian region showed a relatively narrow genetic base, falling in two out of seven and in three out of six clusters in China and Indonesia, respectively. In contrast to the case in southern China where 95% of the lines clustered separately from the CIMMYT lines, lines in the Indonesian breeding program show a closer relationship with the CIMMYT lines, reflecting a long history of germplasm exchange.
536			_aResearch and Partnership Program
546			_aText in English
591			_a0406|Springer|AL-Maize Program
594			_aINT2451
650		7	_aCross-breeding _2AGROVOC _926603
650		7	_aInbred lines _91155 _2AGROVOC
650		7	_aMaize _91173 _2AGROVOC
650		7	_aMolecular genetics _2AGROVOC _93444
650		7	_aMicrosatellites _2AGROVOC _92261
700	1		_aRegalado, E. _922023
700	1		_aLi, W. _924468
700	0		_aMoju Cao _96534
700	1		_aDahlan, M. _924469
700	1		_aPabendon, M. _924470
700	1		_aWarburton, M.L. _94138
700	0		_aXianchun Xia _9377
700	1		_aHoisington, D. _93643
773	0		_tTheoretical and Applied Genetics _n629960 _gv. 109, no. 1, p. 80-91 _wG444762 _dBerlin (Germany) : Springer, 2004. _x0040-5752
856	4		_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/986
942			_cJA _2ddc _n0
999			_c24761 _d24761