000			03063nab|a22005177a|4500
001			67349
003			MX-TxCIM
005			20241126112351.0
008			20241s2024||||mx |||p|op||||00||0|eng|d
022			_a2095-5421
022			_a2214-5141 (Online)
024	8		_ahttps://doi.org/10.1016/j.cj.2024.02.004
040			_aMX-TxCIM
041			_aeng
100	0		_aJunqiao Song _922058
245	1	0	_aGenome-wide association mapping and genomic prediction of stalk rot in two mid-altitude tropical maize populations
260			_bICS, _c2024. _aChina :
500			_aPeer review
500			_aOpen Access
500			_aCorrected Proof
520			_aMaize stalk rot reduces grain yield and quality. Information about the genetics of resistance to maize stalk rot could help breeders design effective breeding strategies for the trait. Genomic prediction may be a more effective breeding strategy for stalk-rot resistance than marker-assisted selection. We performed a genome-wide association study (GWAS) and genomic prediction of resistance in testcross hybrids of 677 inbred lines from the Tuxpeño and non-Tuxpeño heterotic pools grown in three environments and genotyped with 200,681 single-nucleotide polymorphisms (SNPs). Eighteen SNPs associated with stalk rot shared genomic regions with gene families previously associated with plant biotic and abiotic responses. More favorable SNP haplotypes traced to tropical than to temperate progenitors of the inbred lines. Incorporating genotype-by-environment (G × E) interaction increased genomic prediction accuracy.
546			_aText in English
591			_aJunqiao Song : Not in IRS staff list but CIMMYT Affiliation
591			_aCruz-Morales, A.S. : Not in IRS staff list but CIMMYT Affiliation
591			_aMuñoz-Zavala, C. : Not in IRS staff list but CIMMYT Affiliation
591			_aJingtao Qu : Not in IRS staff list but CIMMYT Affiliation
650		7	_aGenotype environment interaction _2AGROVOC _91133
650		7	_aGenome-wide association studies _2AGROVOC _931443
650		7	_aForecasting _2AGROVOC _92701
650		7	_aHaplotype analysis _2AGROVOC _933471
650		7	_aMaize stalk rot _2AGROVOC _910977
700	1		_aPacheco Gil, R.A. _8N1705917 _gGenetic Resources Program _96455
700	1		_aAlakonya, A. _8001711980 _911060 _gGenetic Resources Program
700	1		_aCruz-Morales, A.S. _910983
700	1		_aMuñoz-Zavala, C. _928829
700	0		_aJingtao Qu _917341
700	0		_aChunping Wang _95951
700	0		_aXuecai Zhang _8INT3400 _9951 _gGlobal Maize Program
700	1		_aSan Vicente, F.M. _8INT3035 _9884 _gGlobal Maize Program
700	1		_aDhliwayo, T. _8INT3355 _9935 _gGlobal Maize Program
773	0		_tCrop Journal _dChina : ICS, 2024. _x2095-5421 _gv. 12, no. 2, p. 558-568 _w56924
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/23117
942			_cJA _n0 _2ddc
999			_c67349 _d67341