000 02452nab|a22004097a|4500
001 67273
003 MX-TxCIM
005 20240304211100.0
008 202311s2023||||mx |||p|op||||00||0|eng|d
022 _a0019-5200
022 _a0975-6906 (Online)
024 8 _ahttps://doi.org/10.31742/ISGPB.83.4.6
040 _aMX-TxCIM
041 _aeng
100 1 _aKumar, R.
_918121
245 1 0 _aStability of maize hybrids under drought, rainfed and optimum field conditions revealed through GGE analysis
260 _bIndian Society of Genetics & Plant Breeding ,
_c2023.
_aIndia :
500 _aPeer review
500 _aOpen Access
520 _aIdentification of high-yielding and stable cultivars across different environments through multi-location trials are very important in maize breeding. A study was conducted to evaluate 30 maize hybrids in three diverse environments, viz., drought, rainfed and optimal conditions during the years, 2016 and 2017. Environments, genotypes and Genotype x Environment interactions (G x E) were found to be highly significant in both the years. The biplot explained 69.49% of total variation which was partitioned into 53.61 and 15.88% relative to genotype and genotype by environment interaction. Genotype, ZH15449 performed considerably well in 2016 under optimum (113.41 q/ha) and drought (54.19 q/ha) while in 2017, under optimum (82.28 q/ha) and rainfed (65.37 q/ha) conditions. ZH 161285 gave considerable grain yield at all three ecologies (108.70, 74.29, 60.60 q/ha) in year 2016, whereas genotype, ZH 161330 performed well under rainfed (67.76 q/ha) and drought (52.87q/ha) conditions in year 2017.
546 _aText in English
650 7 _aMaize
_2AGROVOC
_91173
650 7 _aGenotype environment interaction
_2AGROVOC
_91133
650 7 _aAdditive Effect
_2AGROVOC
_99059
650 7 _aPrincipal component analysis
_2AGROVOC
_930383
700 1 _aKaur, Y.
_933251
700 1 _aDas, A.K.
_911568
700 1 _aSingh, S.B.
_926349
700 0 _aBhupender Kumar
_94064
700 1 _aPatel, M.B.
_917506
700 1 _aShahi, J.P.
_917507
700 1 _aZaidi, P.H.
_8INT2823
_9862
_gGlobal Maize Program
773 0 _tIndian Journal of Genetics and Plant Breeding
_gv. 83, no. 4, p. 499-507
_dIndian Society of Genetics & Plant Breeding, 2023.
_x0019-5200
_wu444352
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/23088
942 _cJA
_n0
_2ddc
999 _c67273
_d67265