Mapping quantitative trait loci for seed size traits in soybean (Glycine max L. Merr.)

Xu, Yini; Li, Henan; Li, Guangjun; Wang, Xia; Cheng, Li-Guo; Zhang, Yuan-Ming

doi:10.1007/s00122-010-1471-x

Cited by 72 publications

(71 citation statements)

References 39 publications

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“…The LOD threshold 3.0 was used to declare significant additive QTL and 5.0 to declare significant epistatic QTL. To find stable QTL, multi-QTL joint analysis program was used to detect main-effected QTL, epistatic QTL and environment effects from four environments Dou et al 2010;Xu et al 2011). In the joint analysis, the average phenotypic value of quantitative trait for the ith CSIL family at the jth environment, y ij , may be described by the following model:…”

Section: Data Analysis and Qtl Mappingmentioning

confidence: 99%

Inheritance of long staple fiber quality traits of Gossypium barbadense in G. hirsutum background using CSILs

et al. 2012

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Gossypium hirsutum is a high yield cotton species that exhibits only moderate performance in fiber qualities. A promising but challenging approach to improving its phenotypes is interspecific introgression, the transfer of valuable traits or genes from the germplasm of another species such as G. barbadense, an important cultivated extra long staple cotton species. One set of chromosome segment introgression lines (CSILs) was developed, where TM-1, the genetic standard in G. hirsutum, was used as the recipient parent and the long staple cotton G. barbadense Hai7124 was used as the donor parent by molecular marker-assisted selection (MAS) in BC(5)S(1–4) and BC(4)S(1–3) generations. After four rounds of MAS, the CSIL population was comprised of 174 lines containing 298 introgressed segments, of which 86 (49.4%) lines had single introgressed segments. The total introgressed segment length covered 2,948.7 cM with an average length of 16.7 cM and represented 83.3% of tetraploid cotton genome. The CSILs were highly varied in major fiber qualities. By integrated analysis of data collected in four environments, a total of 43 additive quantitative trait loci (QTL) and six epistatic QTL associated with fiber qualities were detected by QTL IciMapping 3.0 and multi-QTL joint analysis. Six stable QTL were detected in various environments. The CSILs developed and the analyses presented here will enhance the understanding of the genetics of fiber qualities in long staple G. barbadense and facilitate further molecular breeding to improve fiber quality in Upland cotton.

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Section: Data Analysis and Qtl Mappingmentioning

confidence: 99%

Inheritance of long staple fiber quality traits of Gossypium barbadense in G. hirsutum background using CSILs

et al. 2012

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“…Five main effect QTL were found in three population [F(2:3), F(2:4) and F(2:5)], had higher heritability, greater than 20%, which population derived from the direct and reciprocal crosses of Lishuizhongzihuang with Nannong 493-1 (Xu et al, 2011). By the empirical Bayes algorithm, a 307-bp allele of QTL linked to satt453 was found via 257 soybean cultivars obtained by stratified random sampling from six geographic ecotypes in China (Niu et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Quantative trait loci of seed traits for soybean in multiple environments

Ma¹,

Ding²,

Liu³

et al. 2014

Genet. Mol. Res.

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ABSTRACT. Seed length and seed width are an important factor to the soybean yield. So the quantitative trait loci (QTL) location for seed length and seed width could assistant the breeding of soybean. In this study, the QTL underlying seed length and seed width were studied. A recombinant inbred line population of soybeans derived from a cross between the American semi-draft cultivars Charleston and Dongnong 594 were used in 7 environments. The quantitative trait loci underlying seed length, seed width, and seed length/seed width were analyzed by the method of composite interval mapping. Then, the epistatic effects and the QTL-environment (QE) interaction effects were also analyzed. Some valuable QTL sites found had great Quantitative trait loci of soybean seeds in multiple environments effect to the seed trait. Results showed that 7 QTLs underlying seed length were identified mainly on linkage groups D1a, C2, B1, A1, G, and A2. For the seed width, 7 QTLs were identified on linkage groups D1a and O. Two QTLs of seed length/seed width were identified on linkage groups D1b and C2. No QE interaction was found for QTLs of seed length and seed width in 7 environments. QTLs of seed length/seed width on linkage groups A1 and I had a QE interaction in 7 environments. Seven pairs of QTLs were identified that affected additive x additive epistatic effect of seed length, seed width, and seed length/seed width, which occurred among 8 linkage groups. These results supply a good foundation for molecular assistant breeding for soybean seed trait.

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“…QTL are reported for traits related to weight and size of the seeds (Liu et al 2011, Xu et al 2011, Han et al 2012, Sun et al 2012, Hu et al 2013, Liu et al 2013, Pathan et al 2013, Yesudas et al 2013, Kato et al 2014. Moreover, at least six QTL have been reported for grain yield, specifically (Palomeque et al 2009, Sebastian et al 2010, Kim et al 2012, Fox et al 2015, besides the several QTL mapped for other grain yield components from different populations , Guzman et al 2007, Zhang et al 2010, Liu et al 2011, Liu et al 2013.…”

Section: Jis Rodrigues Et Almentioning

confidence: 99%

QTL mapping for yield components and agronomic traits in a Brazilian soybean population

Rodrigues

Miranda

Piovesan

et al. 2016

Crop Breed. Appl. Biotechnol.

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Mapping quantitative trait loci for seed size traits in soybean (Glycine max L. Merr.)

Cited by 72 publications

References 39 publications

Inheritance of long staple fiber quality traits of Gossypium barbadense in G. hirsutum background using CSILs

Inheritance of long staple fiber quality traits of Gossypium barbadense in G. hirsutum background using CSILs

Quantative trait loci of seed traits for soybean in multiple environments

QTL mapping for yield components and agronomic traits in a Brazilian soybean population

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