000			03084nab|a22003737a|4500
001			69337
003			MX-TxCIM
005			20251222161530.0
008			20259s2025|||| -uk||p|op||||00||0|eng|dd
022			_a0179-9541
022			_a1439-0523 (Online)
024	8		_ahttps://doi.org/10.1111/pbr.70026
040			_aMX-TxCIM
041			_aeng
100	0		_aMelkamu Elmyhun _934365
245	1	0	_aGenetic diversity and population structure of elite maize (Zea mays) inbred lines using phenotypic data and single nucleotide polymorphisms
260			_aUnited Kingdom : _bJohn Wiley & Sons Ltd., _c2025.
500			_aPeer review
520			_aMaize (Zea mays L.) is a staple food crop in Ethiopia, providing essential calories, minerals and vitamins to millions. Despite significant investments in developing high-yielding varieties and hybrids, maize yields remain suboptimal because of various production constraints. Understanding the genetic diversity of adapted maize inbred lines is crucial for optimizing heterosis in hybrids and enhancing resistance to biotic and abiotic stresses. The present study was designed to integrate 11 agronomic traits and 3155 SNP markers to assess the genetic diversity among 107 maize inbred lines. Significant differences among the lines were observed for all measured traits. Cluster analysis of agronomic traits identified three distinct groups, with Group III comprising high-yielding and late blight-resistant lines. Genetic diversity assessment using SNPs also identified three groups, with pairwise Euclidean genetic distances ranging from 2.4 to 3.4. Cluster analysis using both data types consistently identified three distinct groups, with the largest genetic distance occurring between Groups II and III. Principal component analysis identified days to anthesis, days to silking and late blight resistance as key traits contributing to the observed phenotypic variation among the lines. Joint analysis of phenotypic and molecular data revealed notable discrepancies in clustering patterns, with only 12% agreement between the two methods, suggesting that phenotypic and genotypic data capture different dimensions of genetic variation. These findings offer valuable insights for selecting parents in breeding programmes focused on enhancing disease resistance, yield stability and adaptability in maize.
546			_aText in English
597			_dCGIAR Trust Fund _fBreeding for Tomorrow _uhttps://hdl.handle.net/10568/179216
650		7	_aMolecular genetics _2AGROVOC _93444
650		7	_aGenetic diversity (resource) _92974 _2AGROVOC
650		7	_aPhenotypic variation _2AGROVOC _98102
650		7	_aPrincipal component analysis _2AGROVOC _930383
650		7	_aSingle nucleotide polymorphisms _2AGROVOC _910805
700	0		_aErmias Abate _934366
700	0		_aAlemu Abate _934367
700	1		_aMenkir, A. _91818
700	1		_aChere, A.T. _gGlobal Maize Program _8I1705938 _9791
773	0		_tPlant Breeding _dUnited Kingdom : John Wiley & Sons Ltd., 2025. _x0179-9541 _gIn press _wu445212
942			_cJA _n0 _2ddc
999			_c69337 _d69329