2014
DOI: 10.4238/2014.april.17.3
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Identification of a major quantitative trait locus for ear size induced by space flight in sweet corn

Abstract: ABSTRACT. The development of molecular markers has contributed to progress in identifying the gene(s) responsible for favorable variations in maize studies. In this study, quantitative trait locus (QTL) mapping was conducted using simple sequence repeat markers in an F 2 sweet corn population from a cross between parental line 1132 and space flight-induced mutant line 751 to identify the loci contributing to an increase in some yield traits. A primary mutated genomic region was located on chromosome 9. In tota… Show more

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Cited by 6 publications
(8 citation statements)
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References 26 publications
(32 reference statements)
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“…1), and its progenitor, silunuo, had many primordial traits similar to teosinte (two ranks with one rows per rank) (Zeng et al 1981). Some studies showed that the alleles that increase the ERN originated equally from both parents (Li et al 2007Upadyayula et al 2006;Veldboom and Lee 1994), on the contrary, any decreasing effects of QTLs on the ERN were attributed to the parent (SICAU1212) with the lower ERN in this study, which agrees with the findings obtained from (Briggs et al 2007;Stec 1991, 1993) and those from a part of maize 9 maize segregations (Cai et al 2014;Tian et al 2014;Yu et al 2014). One possible reason elucidating the above phenomenon is that there is not more variation on ERN within modern maize germplasms, namely due to limited variation in the ERN.…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…1), and its progenitor, silunuo, had many primordial traits similar to teosinte (two ranks with one rows per rank) (Zeng et al 1981). Some studies showed that the alleles that increase the ERN originated equally from both parents (Li et al 2007Upadyayula et al 2006;Veldboom and Lee 1994), on the contrary, any decreasing effects of QTLs on the ERN were attributed to the parent (SICAU1212) with the lower ERN in this study, which agrees with the findings obtained from (Briggs et al 2007;Stec 1991, 1993) and those from a part of maize 9 maize segregations (Cai et al 2014;Tian et al 2014;Yu et al 2014). One possible reason elucidating the above phenomenon is that there is not more variation on ERN within modern maize germplasms, namely due to limited variation in the ERN.…”
Section: Discussionsupporting
confidence: 91%
“…For decades, with the rapid development of molecular genetic marker technology and quantitative genetics, diverse maize populations have been used to detect QTLs for ERN, which contribute to maize diversification, such as F 2 (Yu et al 2014), F 2:3 (Cai et al 2014;Choe and Rocheford 2012;Karen Sabadin et al 2008;Lu et al 2011;Veldboom and Lee 1994;Yan et al 2006), F 2:4 (Beavis et al 1994), BC 1 S 1 (Upadyayula et al 2006), BC 2 F 2 (Li et al 2007, BC 3 F 2:3 , BC 5 F 2:3 (Tian et al 2014), IF 2 (Tang et al 2010), CSSLs (Li et al 2014a) and RILs (Austin and Lee 1996;Guo et al 2008;Liu et al 2010). To date, few consistent QTL having large effects on ERN have been detected across diverse populations or environments.…”
Section: Introductionmentioning
confidence: 99%
“…Detailed whole-genome and bioinformatics analyses have identified 142 MADS-box genes in the maize genome (12), about half of which have been functionally characterized (13). Plant MADS-box gene family members play diverse roles in plant growth and development, including modulating genes involved in flowering time regulation, floral organ and meristem development, formation of dehiscence zones, and fruit ripening, as well as embryo, leaf, and root development (1420). Plant MADS-box genes also play important roles in response to biotic and abiotic stresses (2123).…”
mentioning
confidence: 99%
“…These genetic differentiations resulted from genomic changes during maize artificial or natural selection [22], which caused some important phenotypic variations and provided opportunities for breeders to develop new inbred lines by assembling different genomic segments. Using linkage analysis [23, 24] and the genome-wide association study (GWAS) method [25], genetic loci associated with complex traits have been identified, and some important genes have been confirmed by positional cloning [26]. Using a next-generation sequencing strategy, Lai et al identified 101 low sequence-diversity regions of the maize genome, and the results showed that only a few segments were retained during the formation of maize FPs [27].…”
Section: Introductionmentioning
confidence: 99%