Mapping of quantitative trait loci for oil content in cottonseed kernel

Seed oil content is a key seed quality trait determining the economic value of rapeseed (Brassica napus L.). However, it is a complex quantitative trait controlled by multiple genes. To this point, its genetic mechanism in rapeseed remains to be revealed. In the present study, we separately identified the quantitative trait loci (QTL) controlling seed oil content of B. napus using three generations of recombinant inbred line (RIL) populations (F4:5, F5:6, and F6:7) derived from a cross of two contrasting parents (M201, a high-oil parent, and M202, a low-oil parent) in four trials. The results indicated that the additive effects may be the primary factors contributing to the variation in seed oil content in B. napus. A total of 15 QTL for seed oil content were mapped. Two of them, namely qOC-A9-3 and qOC-A10, were consistently detected across two and all four environments, respectively. Meanwhile, qOC-A10 showed a large effect on phenotypic variation in seed oil content. The stability and significance of qOC-A10 was also validated in the near isogenic lines (NILs-qOC-A10) developed from the RIL population (F4:5) using marker-assisted selection. The qOC-A10 is of particular interest for further fine mapping and map-based cloning.

Download Full-text

Quantitative Trait Loci Associated with Moisture, Protein, and Oil Content in Soybean [Glycine max (L.) Merr.]

Journal of Agricultural Science ◽

10.5539/jas.v4n11p16 ◽

2012 ◽

Vol 4 (11) ◽

Cited By ~ 3

Author(s):

ASM G. Masum Akond ◽

Bobby Ragin ◽

Richard Bazzelle ◽

Stella K. Kantartzi ◽

Khalid Meksem ◽

...

Keyword(s):

Glycine Max ◽

Quantitative Trait Loci ◽

Quantitative Trait ◽

Oil Content ◽

Trait Loci ◽

Glycine Max L

Download Full-text

Identification of quantitative trait loci for protein content, oil content and oil quality for groundnut (Arachis hypogaea L.)

Field Crops Research ◽

10.1016/j.fcr.2011.02.010 ◽

2011 ◽

Vol 122 (1) ◽

pp. 49-59 ◽

Cited By ~ 78

Author(s):

Cholin Sarvamangala ◽

M.V.C. Gowda ◽

R.K. Varshney

Keyword(s):

Quantitative Trait Loci ◽

Protein Content ◽

Arachis Hypogaea ◽

Quantitative Trait ◽

Oil Content ◽

Oil Quality ◽

Arachis Hypogaea L ◽

Trait Loci

Download Full-text

Identification of quantitative trait loci underlying seed oil content of soybean including main, epistatic and QTL×environment effects in different regions of Northeast China

Crop and Pasture Science ◽

10.1071/cp17169 ◽

2017 ◽

Vol 68 (7) ◽

pp. 625 ◽

Cited By ~ 1

Author(s):

Weili Teng ◽

Binbin Zhang ◽

Qi Zhang ◽

Wen Li ◽

Depeng Wu ◽

...

Keyword(s):

Quantitative Trait Loci ◽

Quantitative Trait ◽

Oil Content ◽

Recombinant Inbred Lines ◽

Soybean Seed ◽

Environment Interaction ◽

Additive Effects ◽

Linkage Groups ◽

Soybean Breeding ◽

Trait Loci

Oil content is a primary trait in soybean and determines the quality of soy food, feed and oil product. Increasing oil content is a major objective of soybean breeding. The aims of the present study were to identify quantitative trait loci (QTLs) and epistatic QTLs associated with oil content in soybean seed by using 129 recombinant inbred lines derived from a cross between cultivar Dongnong 46 (oil content 22.53%) and the semi-wild line L-100 (oil content 17.33%). Phenotypic data were collected from 10 tested environments including Harbin in the years 2012–15, Hulan in 2013–15 and Acheng in 2013–15. A genetic linkage map including 213 simple sequence repeat markers in 18 chromosomes (or linkage groups) was constructed, covering ~3623.39 cM. Seven QTLs, located on five chromosomes (or linkage groups), were identified to be associated with oil content, explaining 2.24–17.54% of the phenotypic variation in multi-environments. Among these identified QTLs, five (qOIL-2, qOIL-4, qOIL-5, qOIL-6 and qOIL-7) were detected in more than five environments. Seven QTLs had additive and/or additive × environment interaction effects. QTLs with higher additive effects were more stable in multi-environments than those with lower additive effects. Moreover, five epistatic, pairwise QTLs were identified in different environments. The findings with respect to genetic architecture for oil content could be valuable for marker-assisted selection in soybean breeding programs for high oil content.

Download Full-text