000 02852nab a22003617a 4500
999 _c61200
_d61192
001 61200
003 MX-TxCIM
005 20220205062621.0
008 200108s2020 ne |||p|op||| 00| 0eng d
022 _a2214-5141
024 8 _ahttps://doi.org/10.1016/j.cj.2019.09.008
040 _aMX-TxCIM
041 _aeng
100 1 _8INT3232
_91434
_aNair, S.K.
_gGlobal Maize Program
245 1 0 _aGenetic dissection of maternal influence on in vivo haploid induction in maize
260 _aNetherlands :
_bElsevier,
_c2020.
500 _aPeer review
500 _aOpen Access
520 _aIn vivo haploid induction based on maternal haploid inducers is the first step in deriving completely homozygous maize doubled haploid (DH) lines. Haploid induction rate (HIR) is influenced by both pollen parent inducing haploidy and the maternal source germplasm used in induction crosses. This study was aimed at analyzing the influence of source germplasm on HIR using 671 tropical inbred lines organized in two association mapping panels. These two association mapping panels (AMP1 and AMP2) were crossed to two different Tropically Adapted Inducer Lines (TAILs). For HIR assessment, seeds from induction crosses were planted in the field and ploidy status of each surviving plant was assessed using a gold standard classification based on visual differences between the haploid and diploid plants. The analysis revealed significant variation for HIR and led to identification of several tropical inbred lines that respond very positively to haploid induction. Use of HIR data in a genome wide association study (GWAS) led to identification of twenty-seven and two SNPs that were significantly associated with HIR in AMP1 and AMP2, respectively. Meta-analysis of AMP1 and AMP2 GWAS led to identification of 52 SNPs with significant effect on HIR across both studies. Genome-wide prediction revealed moderate to high prediction accuracy within AMPs using random SNPs. Inclusion of the SNPs detected in GWAS into the prediction model led to improvement in prediction accuracy. Overall, the study revealed that the maternal influence on HIR is controlled by a few moderate and many small effect QTL.
526 _aMCRP
_bFP2
_bFP3
546 _aText in English
650 7 _aMaize
_gAGROVOC
_2
_91173
650 7 _2AGROVOC
_91925
_aHaploidy
650 7 _2AGROVOC
_91132
_aGenomics
700 1 _8INT3356
_9936
_aChaikam, V.
_gGlobal Maize Program
700 1 _8I1705963
_9795
_aGowda, M.
_gGlobal Maize Program
700 1 _96100
_aHindu, V.
700 1 _93373
_aMelchinger, A.E.
700 1 _aPrasanna, B.M.
_gGlobal Maize Program
_8INT3057
_9887
773 0 _dNetherlands : Elsevier, 2020.
_gv. 8, no. 2, p. 287-298
_tThe Crop Journal
_wu56924
_x2214-5141
856 4 _yOpen Access through DSpace
_uhttps://hdl.handle.net/10883/20637
942 _2ddc
_cJA
_n0