Mapping QTLs for seed yield and drought susceptibility index in soybean (Glycine max L.) across different environments

Du, Weijun; Wang, Min; Fu, Sanxiong; Yu, Deyue

doi:10.1016/s1673-8527(08)60165-4

Cited by 92 publications

(82 citation statements)

References 37 publications

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“…In addition, another marker in the LG I located at approximately 18 cM from Satt367, Satt354, was identified in two of the environments, according to the author. Another QTL in the LG I related to grain yield (g plant -1 ) is reported by Du et al (2009) between the molecular markers Satt102 and Sat419, at approximately 5 cM from the QTL described for W100S in the present study. Palomeque et al (2009) and Palomeque et al (2010) also found another marker in the LG I associated with grain yield (kg ha -1 ) in multiple environments (Satt162).…”

Section: Jis Rodrigues Et Alsupporting

confidence: 59%

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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Section: Jis Rodrigues Et Alsupporting

confidence: 59%

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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“…The Satt055 had amplified a unique allele in accessions EC333915. Another marker Satt196 known to be linked with yield QTLs (Du et al 2009) had amplified a unique allele in accession CF-492. The genotypes identified for photoinsensitivity and yield QTL marker alleles can be used in marker assisted introgression program but further validation is required for marker traits linkage in segregating populations.…”

Section: Molecular Characterization Of Soybean Accessionsmentioning

confidence: 99%

Molecular characterization and genetic diversity analysis of soybean (Glycine max (L.) Merr.) germplasm accessions in India

Kumawat

Singh

Gireesh

et al. 2014

Physiol Mol Biol Plants

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Molecular characterization and genetic diversity among 82 soybean accessions was carried out by using 44 simple sequence repeat (SSR) markers. Of the 44 SSR markers used, 40 markers were found polymorphic among 82 soybean accessions. These 40 polymorphic markers produced a total of 119 alleles, of which five were unique alleles and four alleles were rare. The allele number for each SSR locus varied between two to four with an average of 2.97 alleles per marker. Polymorphic information content values of SSRs ranged from 0.101 to 0.742 with an average of 0.477. Jaccard's similarity coefficient was employed to study the molecular diversity of 82 soybean accessions. The pairwise genetic similarity among 82 soybean accessions varied from 0.28 to 0.90. The dendrogram constructed based on genetic similarities among 82 soybean accessions identified three major clusters. The majority of genotypes including four improved cultivars were grouped in a single subcluster IIIa of cluster III, indicating high genetic resemblance among soybean germplasm collection in India.

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“…We mapped a QTL for MDA by satt_223. Du, Wang, et al (2009) also reported QTLs for water stress index in the greenhouse, located on MLG D2. QTLs for REC and CC in present paper were also detected on linkage group D2.…”

Section: Discussionmentioning

confidence: 94%

“…Du, Wang, et al (2009) used a recombinant line population of 184 F 2:7:11 lines from a cross of Kefeng1 and Nannong1138-2 to map QTLs for the seed yield and drought susceptibility index, and a QTL for yield under water stress in the greenhouse associated with satt_223 on MLG G was detected. We mapped a QTL for MDA by satt_223.…”

Section: Discussionmentioning

confidence: 99%

“…Advances in DNA marker technology offered hope that marker technology can begin to clarify the genetics of drought tolerance as an aid to practical breeding. To date, a series of genetic maps have been established to study quantitative trait loci (QTLs) underlying drought tolerance in soybean, including QTLs for water use efficiency (WUE), leaf ash (LASH), water retention curve (WRC), leaf pubescence density and water status traits, relative root traits, and yield under water-stressed conditions (Mian et al 1996(Mian et al , 1998Specht et al 2001;Liu et al 2005;Du, Wang, et al 2009;Li et al 2011). However, identification of QTLs for physiological indices including RWC, REC, MDA, CC and CSS is rare in the literature.…”

Section: Introductionmentioning

confidence: 99%

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QTLs and epistasis for drought-tolerant physiological index in soybean (Glycine maxL.) across different environments

et al. 2014

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The additive and epistatic effects and their genotype × environment (GE) effects on percentage gain with physiological traits under different environments were analyzed in soybean. The genetic characters of physiological traits in soybean and characters of quantitative trait loci (QTL) detected in different environments are discussed. A backcross inbred line (BIL) population of soybean derived from the cross of strong drought tolerant wild soybean, "SNWS0048" as a recipient parent and drought-sensitive variety "Jinda73" as a donor parent was examined to identify the QTL and epistatic QTL and GE effects on drought-tolerant physiological traits in Shanxi, China, in 2008 and 2010. Six QTLs with additive (a) effects and/or additive × environment interaction (ae) effects and three pairs of QTLs with additive × epistatic main (aa) and/or epistasis × environment interaction (aae) effects were detected in different water environment over two years. Six QTLs with a effects and/or ae effects were mapped to linkage groups D2, G, M and N. Among them, there were two QTLs without ae effects, one with ae effects in all four environments, two QTLs with ae effects in two environments and one QTL with ae effects in only one environment. Among three pairs of QTLs, one pair was identified with aa effect and aae effect, one pair only exhibited aa effect, and one pair only had aae effect without aa effect. These indicated that different water environments could affect the expression of genes relevant to drought tolerant traits.

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Mapping QTLs for seed yield and drought susceptibility index in soybean (Glycine max L.) across different environments

Cited by 92 publications

References 37 publications

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

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

Molecular characterization and genetic diversity analysis of soybean (Glycine max (L.) Merr.) germplasm accessions in India

QTLs and epistasis for drought-tolerant physiological index in soybean (Glycine maxL.) across different environments

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