Mapping quantitative trait loci controlling soybean seed starch content in an interspecific cross of ‘Williams 82’ (Glycine max ) and ‘PI 366121’ (Glycine soja )

2017 ◽  
Vol 136 (3) ◽  
pp. 379-385 ◽  
Author(s):  
Sanjeev K. Dhungana ◽  
Krishnanand P. Kulkarni ◽  
Cheol W. Park ◽  
Hyun Jo ◽  
Jong T. Song ◽  
...  
Keyword(s):  
Glycine Max ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Glycine Soja ◽  
Starch Content ◽  
Interspecific Cross ◽  
Soybean Seed ◽  
Trait Loci

scholarly journals RFLP mapping in soybean: association between marker loci and variation in quantitative traits.

Genetics ◽  
1990 ◽  
Vol 126 (3) ◽  
pp. 735-742 ◽  
Author(s):  
P Keim ◽  
B W Diers ◽  
T C Olson ◽  
R C Shoemaker
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Quantitative Traits ◽  
Glycine Soja ◽  
Interspecific Cross ◽  
Field Trials ◽  
Rflp Markers ◽  
Progeny Testing ◽  
Trait Loci ◽  
Marker Loci

Abstract We have constructed a genetic map for soybean and identified associations between genetic markers and quantitative trait loci. One-hundred-fifty restriction fragment length polymorphisms (RFLPs) were used to identify genetic linkages in an F2 segregating population from an interspecific cross (Glycine max x Glycine soja). Twenty-six genetic linkage groups containing ca. 1200 recombination units are reported. Progeny-testing of F2-derived families allowed quantitative traits to be evaluated in replicated field trials. Genomic regions, which accounted for a portion of the genetic variation (R2 = 16 to 24%) in several reproductive and morphological traits, were linked to RFLP markers. Significant associations between RFLP markers and quantitative trait loci were detected for eight of nine traits evaluated. The ability to identify genes within a continuously varying trait has important consequences for plant breeding and for understanding evolutionary processes.

Identification of quantitative trait loci associated with soybean seed protein content using two populations derived from crosses between Glycine max and Glycine soja

2014 ◽  
Vol 12 (S1) ◽  
pp. S104-S108 ◽  
Author(s):  
Long Yan ◽  
Li-Li Xing ◽  
Chun-Yan Yang ◽  
Ru-Zhen Chang ◽  
Meng-Chen Zhang ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Protein Content ◽  
Quantitative Trait ◽  
Seed Protein ◽  
Glycine Soja ◽  
Soybean Seed ◽  
Transgressive Segregation ◽  
Seed Protein Content ◽  
Trait Loci ◽  
Two Populations

Seed protein content is one of the most important traits controlled by quantitative trait loci (QTLs) in soybean. In this study, a Glycine soja accession (ZYD2738) was crossed with two elite cultivars Jidou 12 and Jidou 9 separately and subsequently the resulting F2:3 populations were used to identify QTLs associated with seed protein content. Protein contents in either population appeared to have a normal distribution with transgressive segregation. A total of five QTLs associated with high protein content were identified and mapped to chromosomes 2, 6, 13, 18 and 20, respectively. Of these QTLs, three (qPRO_2_1, qPRO_13_1 and qPRO_20_1) were identified in the same region in both the populations, whereas the other two (qPRO_6_1 and qPRO_18_1) were mapped in two different regions. qPRO_2_1 appears to be a novel protein QTL. qPRO_6_1, qPRO_18_1 and qPRO_20_1 had additive effects on seed protein content, while qPRO_13_1 had an over-dominant effect on seed protein content. These QTLs and their linked markers could serve as effective tools for marker-assisted selection to increase seed protein content.

Quantitative trait loci associated with oligosaccharide and sucrose contents in soybean (Glycine max L.)

2005 ◽  
Vol 48 (1) ◽  
pp. 106-112 ◽  
Author(s):  
Hyeun-Kyeung Kim ◽  
Sung-Taeg Kang ◽  
Jun-Hyeun Cho ◽  
Myoung-Gun Choung ◽  
Duck-Yong Suh
Keyword(s):  
Glycine Max ◽  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Trait Loci ◽  
Glycine Max L

Putative Quantitative Trait Loci Associated with Calcium Content in Soybean Seed

2008 ◽  
Vol 100 (2) ◽  
pp. 263-269 ◽  
Author(s):  
B. Zhang ◽  
P. Chen ◽  
A. Shi ◽  
A. Hou ◽  
T. Ishibashi ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Soybean Seed ◽  
Calcium Content ◽  
Trait Loci

Quantitative trait loci underlying root yield and starch content in an F1 derived cassava population (Manihot esculenta Crantz)

2016 ◽  
Vol 155 (4) ◽  
pp. 569-581 ◽  
Author(s):  
S. SRAPHET ◽  
A. BOONCHANAWIWAT ◽  
T. THANYASIRIWAT ◽  
R. THAIKERT ◽  
S. WHANKAEW ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Candidate Genes ◽  
Quantitative Trait ◽  
Manihot Esculenta ◽  
Starch Content ◽  
Glycosyl Hydrolases ◽  
Root Yield ◽  
Manihot Esculenta Crantz ◽  
Trait Loci ◽  
Gene Expression Studies

SUMMARYCassava (Manihot esculenta Crantz) root yield measured as fresh weight (hereafter root yield) is declining in much of Asia and Africa. The current study aimed to identify quantitative trait loci (QTL) underlying both root and starch fresh weights in F1 cassava. Eight QTL were associated with root yield, underlying 12·9–40·0% of the phenotypic variation (PVE). Nine QTL were associated with starch content, underlying 11·3–27·3% of the PVE. Quantitative trait loci were identified from four different environments that encompassed two locations and 3 years. Consistent QTL for root yield, YLD5_R11 and YLD8_L09 on linkage group (LG) 16, were detected across years and locations. Quantitative trait loci for starch content, ST3_R09, ST6_R10 and ST7_R11 on LG 11, were found across 3 years. Co-localization of QTL for both traits with positive correlation was detected between YLD3_R10 and ST5_R10 on LG 9. Candidate genes within the QTL that were consistent across multiple environments were identified based on cassava genome sequences. Genes predicted to encode for glycosyl hydrolases, uridine 5’-diphospho-(UDP)-glucuronosyl transferases and UDP-glucosyl transferases were found among the 44 genes located within the region containing the QTL controlling starch content. Sixteen genes predicted to encode proteins that were possibly associated with root yield were identified. The QTL controlling root yield and starch content in the current study will be useful for molecular breeding of cassava through marker-assisted selection. The identification of candidate genes underlying both traits will be useful both as markers and for gene expression studies.

Mapping Quantitative Trait Loci for Partial Resistance to Phytophthora sojae in a Soybean Interspecific Cross

Crop Science ◽  
2010 ◽  
Vol 50 (2) ◽  
pp. 628-635 ◽  
Author(s):  
D. M. Tucker ◽  
M. A. Saghai Maroof ◽  
S. Mideros ◽  
J. A. Skoneczka ◽  
D. A. Nabati ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Partial Resistance ◽  
Interspecific Cross ◽  
Phytophthora Sojae ◽  
Trait Loci
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