000			03229nab|a22003977a|4500
001			69539
003			MX-TxCIM
005			20251201112730.0
008			251119s2025 ii ||||| |||| 00| 0 eng d
022			_a2394-1081
024			_ahttps://doi.org/10.9734/jabb/2025/v28i103161
040			_aMX-TxCIM
041			_aeng
100	1		_aSharanu S G _940551
245	1	0	_aGenetic diversity of tropical maize (Zea mays L.) inbred lines using phenotypic clustering
260			_aIndia : _bScienceDomain International, _c2025.
500			_aPeer review
500			_aOpen Access
520			_aGenetic diversity in maize is a valuable natural resource and plays a key role in hybrid breeding programs. The present study was conducted to assess the magnitude of genetic diversity among 107 tropical maize (Zea mays L.) inbred lines using phenotypic traits. Significant variability was observed for all the 11 traits. Days to 50% tasseling (DFT), days to 50% silking (DFS), plant height (PH), ear height (EH), cob length (CL), cob girth (CG), kernel rows per cob (KRPC), kernel per row (KPR), shelling percent (SP), seed weight (SW) and grain yield (GY). High heritability and genetic advance were observed for the traits Viz., DFT, DFS, CL, CG and KRPC, indicating their suitability for effective selection. In contrast, traits like GY, SP, and SW showed low heritability, suggesting stronger environmental influence and the need to exploit heterosis for yield improvement. Cluster analysis of inbred lines grouped them into seven distinct clusters, with considerable inter-cluster distances, particularly between Cluster II and V. Principal component analysis (PCA) revealed that the first five PCA components explained over 80% of the total variation. Potential genetically diverse genotypes Viz., CIMMYT-19, BHG-19, UASBM-69 and AHG-76-1 were identified by the PCA biplot as promising sources for hybridization. Overall, the results showed the importance of flowering and cob-related traits for selection and demonstrate the combined utility of cluster analysis and PCA in identifying diverse parental lines, thereby providing a strong foundation for hybrid development and genetic improvement of maize.
546			_aText in English
597			_aClimate adaptation & mitigation _bAccelerated Breeding _cGenetic Innovation _dUnited States Agency for International Development (USAID) _uhttps://hdl.handle.net/10568/178388
610	2	7	_aCentro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT) _9978
650		7	_aGenetic diversity (resource) _2AGROVOC _92974
650		7	_aInbred lines _2AGROVOC _91155
650		7	_aPrincipal component analysis _2AGROVOC _930383
650		7	_aPolymorphism _2AGROVOC _93752
700	1		_aPatil, A. _93768
700	1		_aKuchanur, P.H. _93769
700	0		_aB. Kisan _98274
700	1		_aYeri, S. _940531
700	1		_aVinayan, M.T. _gGlobal Maize Program _8INT3341 _9925
700	1		_aZaidi, P.H. _gGlobal Maize Program _8INT2823 _9862
773	0		_t Journal of Advances in Biology & Biotechnology _gv. 28, no. 10, p. 1466-1477 _dIndia : ScienceDomain International, 2025. _x2394-1081
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/36115
942			_cJA _n0 _2ddc
999			_c69539 _d69531