Epistatic interaction is an important genetic basis of grain yield and its components in maize

Ma, Xiqing; Tang, Jianjun; Teng, Wen-Tao; Yan, Jianbing; Meng, Yijiang; Li, J. S.

doi:10.1007/s11032-006-9071-9

Cited by 173 publications

(95 citation statements)

References 45 publications

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“…Interactions between loci with non-significant main-effects were obtained by Ma et al (2007), Imtiaz et al (2008) and Peng et al (2011), while Charmet et al (1999) considered situations when at least one of the interactive QTLs had an additive effect. Bocianowski (2013) investigated the effect of consideration/ non-consideration of the epistatic effects on the additive gene action effects.…”

Section: Discussionmentioning

confidence: 99%

Estimation of epistasis in doubled haploid barley populations considering interactions between all possible marker pairs

Bocianowski

2013

Euphytica

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Epistasis, is the interaction between alleles from two or more loci determining complex traits, and thus plays an important role in the development of quantitative traits of crops. In mapping studies of inbreeding species epistasis is usually defined as the interactions between quantitative trait loci with significant additive gene effects. Indeed, in many studies, genes with small effects do not come into the final model and thus the total epistasis interaction effect is biased. Many loci may not have a significant direct effect on the trait under consideration, but they may still affect trait expression by interacting with other loci. In this paper the benefits of using all loci, not only the loci with significant main effects, for estimation of the epistatic effects are presented. The particular examples are with doubled haploids lines and so are restricted to homozygotes and thus additive genetic effects and additive 9 additive interactions. Numerical analyses were carried out on three populations of doubled haploid lines of barley (Hordeum vulgare L.): 120 doubled haploid lines from the Clipper 9 Sahara 3771 cross, 145 doubled haploid lines from the Harrington 9 TR306 cross and 150 doubled haploid lines from the Steptoe 9 Morex cross. In total, 157 sets of observations were analyzed and altogether 728 pairs of loci were observed for the three datasets.

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Section: Discussionmentioning

confidence: 99%

Estimation of epistasis in doubled haploid barley populations considering interactions between all possible marker pairs

Bocianowski

2013

Euphytica

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“…This indicates that several loci involved in epistatic interactions may not have significant effects for these traits and may affect the trait expression by epistatic interactions with other loci. Likewise, Ma et al (2007) stated that 37% of the main-effect QTLs were involved in the epistatic interactions in maize grain yield and its components. Zhang et al (2008) found 25% of main-effect QTLs for wheat plant height were involved in epistatic effects.…”

Section: Detection Of Epistasismentioning

confidence: 99%

QTL analysis in Barley Across Environments in Egypt

et al. 2017

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“…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%

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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Epistatic interaction is an important genetic basis of grain yield and its components in maize

Cited by 173 publications

References 45 publications

Estimation of epistasis in doubled haploid barley populations considering interactions between all possible marker pairs

Estimation of epistasis in doubled haploid barley populations considering interactions between all possible marker pairs

QTL analysis in Barley Across Environments in Egypt

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

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