000			03552nab|a22004337a|4500
001			68741
003			MX-TxCIM
005			20251223141413.0
008			20253s22025||||sz|||p|op||||00||0|eengdd
022			_a1664-462X
024	8		_ahttps://doi.org/10.3389/fpls.2025.1544010
040			_aMX-TxCIM
041			_aeng
100	0		_aWilber Wambi _938657
245	1	0	_aUse of multi-trait principal component selection index to identify fall armyworm (Spodoptera frugiperda) resistant maize genotypes
260			_aSwitzerland : _bFrontiers Media, _c2025.
500			_aPeer review
500			_aOpen Access
520			_aThe Fall armyworm (FAW), Spodoptera frugiperda (J. E. Smith) invaded sub-Saharan Africa (SSA) in 2016 and has since become prevalent in many countries, causing significant maize grain yield losses and reduced grain quality. Breeding for host plant resistance to FAW requires improving multiple traits, complicating selection. This study evaluated the use of principal component (PC)-based multi-trait selection indices to identify FAW resistant maize genotypes. A total of 192 maize hybrids alongside four commercial hybrids, were evaluated over four seasons under artificial FAW infestation. Data on FAW leaf feeding damage (LD) at 7, 14, and 21 days after infestation, and ear damage (ED), ear rot (ER), and grain yield (GY) were recorded. The data were subjected to analysis of variance and PC analysis, and results used to construct two economic weight-free selection indices: PC1-based index (PC1BI) and PC2-based index (PC2BI). Broad-sense heritability estimates were 0.59 to 0.73 for LD, and 0.69 for GY. The two PCs explained 97.1% of the variation among the hybrids. PC1BI, with higher loadings for the leaf feeding damage traits, showed the larger desired gains for these traits (-2.92 to -3.84%) and GY (19.9%), making it a superior index to PC2BI. PC1BI identified six promising hybrids with GY above the cutoff of 7.0 t ha-1 for selection under FAW infestation. PC2BI exhibited larger gains for ED (-11.1%) and ER (-45.4%). The index-based selected hybrids consistently outperformed the commercial hybrid checks. The PC-based indices have the potential to serve as valuable tools for breeders to maximize selection gains; however, modifications are necessary to incorporate other desirable agronomic and adaptive traits.
546			_aText in English
597			_dCentro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT) _dUnited States Agency for International Development (USAID) _dBill & Melinda Gates Foundation (BMGF) _fBreeding for Tomorrow _uhttps://hdl.handle.net/10568/179263
650		7	_aFall armyworms _2AGROVOC _923522
650		7	_aHost plant resistance _2AGROVOC _918680
650		7	_aPrincipal component analysis _2AGROVOC _930383
650		7	_aSpodoptera frugiperda _2AGROVOC _96410
650		7	_aSelection Index _2AGROVOC _99137
650		7	_aMaize _2AGROVOC _91173
700	1		_aMakumbi, D. _gGlobal Maize Program _8INT2765 _9858
700	1		_aAsea, G. _913
700	0		_aHabtamu Zeleke _94091
700	1		_aBruce, A.Y. _gFormerly Global Maize Program _8I1705904 _9788
700	0		_aMulatu Wakgari _938658
700	1		_aKwemoi, D.B. _97816
700	1		_aPrasanna, B.M. _gGlobal Maize Program _gBorlaug Institute for South Asia _8INT3057 _9887
773	0		_tFrontiers in Plant Science _gv. 16, art. 1544010 _dSwitzerland : Frontiers Media, 2025. _x1664-462X _w56875
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/35620
942			_cJA _n0 _2ddc
999			_c68741 _d68733