000			03199nab a22004337a 4500
001			G90329
003			MX-TxCIM
005			20240919020946.0
008			210618s2008 ne |||p|op||| 00| 0 eng d
022			_a1573-5109 (Online)
022			_a0925-9864
024	8		_ahttps://doi.org/10.1007/s10722-007-9224-7
040			_aMX-TxCIM
041			_aeng
090			_aCIS-5176
100	1		_aOrtiz, R. _9244
245	1	0	_aClassification of Peruvian highland maize races using plant traits
260			_aDordrecht (Netherlands) : _bSpringer, _c2008.
340			_aComputer File|Printed
500			_aPeer review
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0925-9864
520			_aThe maize of Latin America, with its enormous diversity, has played an important role in the development of modern maize cultivars of the American continent. Peruvian highland maize shows a high degree of variation stemming from its history of cultivation by Andean farmers. Multivariate statistical methods for classifying accessions have become powerful tools for classifying genetic resources conservation and the formation of core subsets. This study has two objectives: (1) to use a numerical classification strategy for classifying eight Peruvian highland races of maize based on six vegetative traits evaluated in two years and (2) to compare this classification with the existing racial classification. The numerical classification maintained the main structure of the eight races, but reclassified parts of the races into new groups (Gi). The new groups are more separated and well defined with a decreasing accession within group × environment interaction. Most of the accessions from G1 are from Cusco Gigante, all of the accessions from G3 (except one) are from Confite Morocho, and all of the accessions from G7 are from Chullpi. Group G2 has four accessions from Huayleño and four accessions from Paro, whereas G4 has four accessions from Huayleño and five accessions from San Geronimo. Group G5 has accessions from four races, and G6 and G8 formed small groups with two and one accession each, respectively. These groups can be used for forming core subsets for the purpose of germplasm enhancement and assembling gene pools for further breeding.
536			_aGenetic Resources Program
546			_aText in English
591			_aSpringer
594			_aINT3239|CCJL01
650		7	_aLeaves _2AGROVOC _98838
650		7	_aMaize _2AGROVOC _91173
650		7	_aAgronomic characters _2AGROVOC _91008
650		7	_aEnvironmental factors _2AGROVOC _94558
650		7	_aStatistical methods _2AGROVOC _92624
700	1		_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959
700	1		_aFranco, J. _8CFRN01 _gFormerly Genetic Resources Program _9494
700	1		_920388 _aSevilla, R.
700	1		_9907 _aBurgueño, J. _gGenetic Resources Program _8INT3239
773	0		_tGenetic Resources and Crop Evolution _n635086 _gv. 55, no. 1, p. 151-162 _dDordrecht (Netherlands) : Springer, 2008. _wG446632 _x0925-9864
856	4		_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/653
942			_cJA _2ddc _n0
999			_c26969 _d26969