Mapping of quantitative trait loci for kernel row number in maize across seven environments

Ming, Lu; Xie, Chuanxiao; Li, Xinhai; Zhang, Hao; Li, Mingshun; Weng, Jianfeng; Zhang, Degui; Bai, Li; Zhang, Shihuang

doi:10.1007/s11032-010-9468-3

Cited by 49 publications

(55 citation statements)

References 32 publications

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“…A QTL for KRN detected by Tang et al (2007) in umc2101-bnlg1523 was similar to qKRN3. In particular, both qKRN7b and qKRN9b identified in the current study were also found by Lu et al (2010) across 7 environments. Zhao et al (2012) mapped a total of 10 QTL for KRN from 2 introgression line populations, and found that the QTL close to umc1185 was the same as qKRN2.…”

Section: Discussionsupporting

confidence: 69%

“…Lu et al (2010) detected 13 QTL for KRN in 7 environments using 397 F 2:3 families with a major QTL being detected on chromosome 7 across all environments. Zhao et al (2011) identified 10 QTL for KRN in 2 sets of introgression lines, with 2 of the QTL being detected across 2 environments.…”

Section: Introductionmentioning

confidence: 97%

“…More than 100 QTL have been mapped on the whole genome of maize for KRN over the last 20 years, using different mapping populations subject to different environments (Veldboom et al, 1994;Ribaut et al, 1997;Upadyayula et al, 2006;Ma et al, 2007;Lu et al, 2010;Brown et al, 2011;Liu et al, 2012). Lu et al (2010) detected 13 QTL for KRN in 7 environments using 397 F 2:3 families with a major QTL being detected on chromosome 7 across all environments.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative trait loci mapping for kernel row number using chromosome segment substitution lines in maize

Jia

Liu

et al. 2014

Genet. Mol. Res.

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ABSTRACT. Unveiling the genetic architecture of grain yield and yieldrelated traits is useful for guiding the genetic improvement of crop plants. Kernel row number (KRN) per ear is an important yield component, which directly affects the grain yield of maize. In this study, we constructed a set of 130 chromosome segment substitution lines (CSSLs), using Nongxi531 as the donor parent and H21 as recipient parent, by continuous backcrossing and selfing. In total, 11 quantitative trait loci (QTL) were detected for KRN by stepwise regression under 3 environmental settings, with 9.87-19.44% phenotypic variation being explained by a single QTL. All 11 QTL were also detected by single-factor ANOVA across the 3 environments tested. Of these 11 QTL, 4 were identified across more than 2 environments, indicating that they are authentically expressed under different environments to control the formation and development of KRN in female maize inflorescences. The CSSLs harbored a greater number of favorable alleles for KRN compared to the H21 line, and could be employed as improved H21 lines in maize breeding programs.

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Section: Discussionsupporting

confidence: 69%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Quantitative trait loci mapping for kernel row number using chromosome segment substitution lines in maize

Jia

Liu

et al. 2014

Genet. Mol. Res.

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“…Many studies have identified QTL for traits relating to increased ear size in maize (Berke and Rocheford, 1995;Veldboom and Lee, 1996;Austin and Lee, 1996;Graham et al, 1997;Ajmone-Marsan et al, 2001;Lima et al, 2006;Yan et al, 2006;Sabadin et al, 2008;Lu et al, 2006Lu et al, , 2011. A total of 45 ED, 36 CD, 25 KD, and 27 KRN QTL were retrieved, but no QTL for ear size traits was found at bin 9.03 of chromosome 9 by conducting a QTL search for these traits in the Maize Genetics and Genomics Database (www.maizegdb.org).…”

Section: A Major Qtl For Ear Size In Maizementioning

confidence: 99%

“…Many studies have focused on the genetic characteristics and molecular mechanisms that affect yield, and many quantitative trait loci (QTL) for yieldrelated traits have been identified (Berke and Rocheford, 1995;Austin and Lee, 1996;Graham et al, 1997;Ajmone-Marsan et al, 2001;Lima et al, 2006;Yan et al, 2006;Sabadin et al, 2008;Lu et al, 2006Lu et al, , 2011. Because most of these QTL are minor QTL, it is difficult to utilize them for pyramiding favorable alleles.…”

Section: Introductionmentioning

confidence: 99%

Identification of a major quantitative trait locus for ear size induced by space flight in sweet corn

Yu¹,

Li²,

Yang³

et al. 2014

Genet. Mol. Res.

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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 total, 26 QTL were detected for eight yield-related traits and assembled into three clusters on chromosome 9.

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Conventional and Molecular Breeding for Genetic Improvement of Maize (Zea mays L.)

Choudhary,

Kumar

et al. 2023

Advanced Crop Improvement, Volume 2

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Mapping of quantitative trait loci for kernel row number in maize across seven environments

Cited by 49 publications

References 32 publications

Quantitative trait loci mapping for kernel row number using chromosome segment substitution lines in maize

Quantitative trait loci mapping for kernel row number using chromosome segment substitution lines in maize

Identification of a major quantitative trait locus for ear size induced by space flight in sweet corn

Conventional and Molecular Breeding for Genetic Improvement of Maize (Zea mays L.)

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