000			03201nab a22003977a 4500
999			_c60606 _d60598
001			60606
003			MX-TxCIM
005			20211006085158.0
008			190701s2019 xxu|||p|op||| 00| 0 eng d
022			_a0011-183X
022			_a1435-0653 (Online)
024	8		_ahttps://doi.org/10.2135/cropsci2018.12.0722
040			_aMX-TxCIM
041	0		_aeng
100	1		_99687 _aMebratu, A.
245	1	0	_aGenotype x environment interaction of quality protein maize hybrids under contrasting management condition in Eastern and Southern Africa
260			_aMadison (USA) : _bCSSA, _c2019.
500			_aPeer review
500			_aOpen Access
520			_aDrought and low soil fertility are major abiotic stresses limiting yield of maize (Zea mays L.) in eastern and southern Africa. The present study was undertaken to determine genotype by environment interaction (GEI) and grain yield stability of quality protein maize (QPM) experimental hybrids. A total of 108 hybrids, including two commercial checks, were tested across 13 environments under drought, low N, and optimal environments in Ethiopia, Zambia, and Zimbabwe in 2015 and 2016. Environment, hybrid, and hybrid × environment interaction effects were significant (P < 0.01) across environments and within management conditions. The highest yielding hybrids were H40, H41, H56, and H58 under optimum management; H2, H9, H40, and H87 under low N; H3, H10, H11, and H94 under drought; and H9, H10, H40, H56, and H94 across environments. The GEI and grain yield stability analysis using different models indicated that additive main effects and multiplicative interaction (AMMI), and genotypic main effects plus GEI (GGE) models were more efficient and precise compared to the linear regression stability model in identifying high-yielding hybrids with stable performance. Based on the AMMI and GGE biplots, the most promising QPM hybrids were identified under different management conditions. Hybrid H40 was the most outstanding genotype under various management conditions and could be used in breeding programs or commercialized in target areas. Gwebi optimum and Bako low N were identified as the most discriminating and representative environments under the contrasting management conditions. In general, results of the present study depicted the possibility of developing high-yielding and stable QPM hybrids for stress and nonstress conditions.
526			_aMCRP _bFP3
546			_aText in English
650		7	_aMaize _gAGROVOC _2 _91173
650		7	_2AGROVOC _91133 _aGenotype environment interaction
650		7	_2AGROVOC _91151 _aHybrids
650		7	_2AGROVOC _91278 _aStress tolerance
651		7	_2AGROVOC _94387 _aEast Africa
651		7	_91954 _aSouthern Africa _gAGROVOC
700	1		_9952 _aDagne Wegary Gissa _gGlobal Maize Program _8INT3401
700	1		_99688 _aMohammed, W.
700	1		_8I1705938 _9791 _aChere, A.T. _gGlobal Maize Program
700	1		_8INT2937 _9876 _aAmsal Tesfaye Tarekegne _gGlobal Maize Program
773	0		_dMadison (USA) : CSSA, 2019. _gv. 59, no. 4, p. 1576-1589 _tCrop Science _wu444244 _x1435-0653
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/20212
942			_2ddc _cJA _n0