000 03847nab|a22004697a|4500
001 64827
003 MX-TxCIM
005 20231011234127.0
008 201202s2021||||ne |||p|op||||00||0|eng|d
022 _a2214-5141
024 8 _ahttps://doi.org/10.1016/j.cj.2021.03.012
040 _aMX-TxCIM
041 _aeng
100 1 _aDas, R.R.
_917505
245 1 0 _aGenetic gains with genomic versus phenotypic selection for drought and waterlogging tolerance in tropical maize (Zea mays L.)
260 _aNetherlands :
_bElsevier,
_c2021.
500 _aPeer review
500 _aOpen Access
520 _aErratic rainfall often results in intermittent drought and/or waterlogging and limits maize (Zea mays L.) productivity in many parts of the Asian tropics. Developing climate-resilient maize germplasm possessing tolerance to these key abiotic stresses without a yield penalty under optimal growing conditions is a challenge for breeders working in stress-vulnerable agro-ecologies in the region. Breeding stress-resilient maize for rainfed stress-prone ecologies is identified as one of the priority areas for CIMMYT-Asia maize program. We applied rapid cycle genomic selection (RCGS) on two multiparent yellow synthetic populations (MYS-1 and MYS-2) to improve grain yield simultaneously under drought and waterlogging conditions using genomic-estimated breeding values (GEBVs). Also, the populations were simultaneously advanced using recurrent phenotypic selection (PS) by exposing them to managed drought and waterlogging and intermating tolerant plants from the two selection environments. Selection cycles per se (C1, C2, and C3) of the two populations developed using RCGS and PS approach and their test-cross progenies were evaluated separately in multilocation trials under managed drought, waterlogging, and optimal moisture conditions. Significant genetic gains were observed with both GS and PS, except with PS in MYS-2 under drought and with GS in MYS-1 under waterlogging. Realized genetic gains from GS were relatively higher under drought conditions (110 and 135 kg ha−1 year−1) compared to waterlogging (38 and 113 kg ha−1 year−1) in both MYS-1 and MYS-2, respectively. However, under waterlogging stress PS showed at par or better than GS as gain per year with PS was 80 and 90 kg ha−1, whereas with GS it was 90 and 43 kg ha−1 for MYS-1 and MYS-2, respectively. Our findings suggested that careful constitution of a multiparent population by involving trait donors for targeted stresses, along with elite high-yielding parents from diverse genetic background, and its improvement using RCGS is an effective breeding approach to build multiple stress tolerance without compromising yield when tested under optimal conditions.
526 _aMCRP
_bFP3
546 _aText in English
591 _aDas, R.R. : Not in IRS Staff list but CIMMYT Affiliation
591 _aSeetharam, K. : Not in IRS Staff list but CIMMYT Affiliation
650 7 _aDrought
_2AGROVOC
_91080
650 7 _aMarker-assisted selection
_2AGROVOC
_910737
650 7 _aMaize
_2AGROVOC
_91173
650 7 _aPhenotypes
_2AGROVOC
_93634
650 7 _aWaterlogging
_2AGROVOC
_92241
700 1 _aVinayan, M.T.
_9925
_8INT3341
_gGlobal Maize Program
700 1 _aSeetharam, K.
_91446
700 1 _aPatel, M.B.
_917506
700 0 _aRamesh Kumar Phagna
_92244
700 1 _aSingh, S.B.
_926349
700 1 _aShahi, J.P.
_917507
700 1 _aSarma, A.
_917508
700 1 _aBarua, N.S.
_917509
700 1 _aBABU, R.
_9875
_8INT2925
_gGlobal Maize Program
700 1 _aZaidi, P.H.
_9862
_8INT2823
_gGlobal Maize Program
773 0 _gv. 9, no. 6, p. 1438-1448
_dNetherlands : Elsevier, 2021.
_x2214-5141
_tThe Crop Journal
_wu56924
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/21800
942 _cJA
_n0
_2ddc
999 _c64827
_d64819