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Items: 1 to 20 of 49

1.

Compositional Analysis of Non-Polar and Polar Metabolites in 14 Soybeans Using Spectroscopy and Chromatography Tools.

Kotha RR, Natarajan S, Wang D, Luthria DL.

Foods. 2019 Nov 7;8(11). pii: E557. doi: 10.3390/foods8110557.

2.

Notoginsenoside R1 alleviates lipopolysaccharide-triggered PC-12 inflammatory damage via elevating microRNA-132.

Sun Y, Liu B, Zheng X, Wang D.

Artif Cells Nanomed Biotechnol. 2019 Dec;47(1):1808-1814. doi: 10.1080/21691401.2019.1610414.

PMID:
31062615
3.

Characterization of Soybean STAY-GREEN Genes in Susceptibility to Foliar Chlorosis of Sudden Death Syndrome.

Chang HX, Tan R, Hartman GL, Wen Z, Sang H, Domier LL, Whitham SA, Wang D, Chilvers MI.

Plant Physiol. 2019 Jun;180(2):711-717. doi: 10.1104/pp.19.00046. Epub 2019 Apr 5. No abstract available.

4.

Different loci associated with root and foliar resistance to sudden death syndrome (Fusarium virguliforme) in soybean.

Tan R, Collins PJ, Wang J, Wen Z, Boyse JF, Laurenz RG, Gu C, Jacobs JL, Song Q, Chilvers MI, Wang D.

Theor Appl Genet. 2019 Feb;132(2):501-513. doi: 10.1007/s00122-018-3237-9. Epub 2018 Nov 16.

PMID:
30446796
5.

Genetic Architecture of Soybean Yield and Agronomic Traits.

Diers BW, Specht J, Rainey KM, Cregan P, Song Q, Ramasubramanian V, Graef G, Nelson R, Schapaugh W, Wang D, Shannon G, McHale L, Kantartzi SK, Xavier A, Mian R, Stupar RM, Michno JM, An YC, Goettel W, Ward R, Fox C, Lipka AE, Hyten D, Cary T, Beavis WD.

G3 (Bethesda). 2018 Oct 3;8(10):3367-3375. doi: 10.1534/g3.118.200332.

6.

Mapping Quantitative Trait Loci for Tolerance to Pythium irregulare in Soybean (Glycine max L.).

Lin F, Wani SH, Collins PJ, Wen Z, Gu C, Chilvers MI, Wang D.

G3 (Bethesda). 2018 Oct 3;8(10):3155-3161. doi: 10.1534/g3.118.200368.

7.

QTL mapping and epistatic interaction analysis of field resistance to sudden death syndrome (Fusarium virguliforme) in soybean.

Tan R, Serven B, Collins PJ, Zhang Z, Wen Z, Boyse JF, Gu C, Chilvers MI, Diers BW, Wang D.

Theor Appl Genet. 2018 Aug;131(8):1729-1740. doi: 10.1007/s00122-018-3110-x. Epub 2018 May 15.

PMID:
29766218
8.

Soybean Resistance to White Mold: Evaluation of Soybean Germplasm Under Different Conditions and Validation of QTL.

Kandel R, Chen CY, Grau CR, Dorrance AE, Liu JQ, Wang Y, Wang D.

Front Plant Sci. 2018 Apr 20;9:505. doi: 10.3389/fpls.2018.00505. eCollection 2018.

9.

Field evaluation of three sources of genetic resistance to sudden death syndrome of soybean.

Brzostowski LF, Pruski TI, Hartman GL, Bond JP, Wang D, Cianzio SR, Diers BW.

Theor Appl Genet. 2018 Jul;131(7):1541-1552. doi: 10.1007/s00122-018-3096-4. Epub 2018 Apr 16.

PMID:
29663054
10.

Integrating GWAS and gene expression data for functional characterization of resistance to white mould in soya bean.

Wen Z, Tan R, Zhang S, Collins PJ, Yuan J, Du W, Gu C, Ou S, Song Q, An YC, Boyse JF, Chilvers MI, Wang D.

Plant Biotechnol J. 2018 Nov;16(11):1825-1835. doi: 10.1111/pbi.12918. Epub 2018 May 7.

11.

Integration of sudden death syndrome resistance loci in the soybean genome.

Chang HX, Roth MG, Wang D, Cianzio SR, Lightfoot DA, Hartman GL, Chilvers MI.

Theor Appl Genet. 2018 Apr;131(4):757-773. doi: 10.1007/s00122-018-3063-0. Epub 2018 Feb 12. Review.

PMID:
29435603
12.

Comparison of Genetic Diversity between Chinese and American Soybean (Glycine max (L.)) Accessions Revealed by High-Density SNPs.

Liu Z, Li H, Wen Z, Fan X, Li Y, Guan R, Guo Y, Wang S, Wang D, Qiu L.

Front Plant Sci. 2017 Nov 30;8:2014. doi: 10.3389/fpls.2017.02014. eCollection 2017.

13.

Case Study of an Epidemiological Approach Dissecting Historical Soybean Sclerotinia Stem Rot Observations and Identifying Environmental Predictors of Epidemics and Yield Loss.

Fall ML, Boyse JF, Wang D, Willbur JF, Smith DL, Chilvers MI.

Phytopathology. 2018 Apr;108(4):469-478. doi: 10.1094/PHYTO-12-16-0446-R. Epub 2018 Mar 5.

PMID:
29231778
14.

Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population.

Xavier A, Jarquin D, Howard R, Ramasubramanian V, Specht JE, Graef GL, Beavis WD, Diers BW, Song Q, Cregan PB, Nelson R, Mian R, Shannon JG, McHale L, Wang D, Schapaugh W, Lorenz AJ, Xu S, Muir WM, Rainey KM.

G3 (Bethesda). 2018 Feb 2;8(2):519-529. doi: 10.1534/g3.117.300300.

15.

Structure-Guided Design and Synthesis of a Mitochondria-Targeting Near-Infrared Fluorophore with Multimodal Therapeutic Activities.

Tan X, Luo S, Long L, Wang Y, Wang D, Fang S, Ouyang Q, Su Y, Cheng T, Shi C.

Adv Mater. 2017 Nov;29(43). doi: 10.1002/adma.201704196. Epub 2017 Oct 5.

PMID:
28980731
16.

Fine mapping of the soybean aphid-resistance genes Rag6 and Rag3c from Glycine soja 85-32.

Zhang S, Zhang Z, Wen Z, Gu C, An YC, Bales C, DiFonzo C, Song Q, Wang D.

Theor Appl Genet. 2017 Dec;130(12):2601-2615. doi: 10.1007/s00122-017-2979-0. Epub 2017 Sep 8.

PMID:
28887657
17.

Mapping novel aphid resistance QTL from wild soybean, Glycine soja 85-32.

Zhang S, Zhang Z, Bales C, Gu C, DiFonzo C, Li M, Song Q, Cregan P, Yang Z, Wang D.

Theor Appl Genet. 2017 Sep;130(9):1941-1952. doi: 10.1007/s00122-017-2935-z. Epub 2017 Jul 14.

PMID:
28710504
18.

The development and use of a molecular model for soybean maturity groups.

Langewisch T, Lenis J, Jiang GL, Wang D, Pantalone V, Bilyeu K.

BMC Plant Biol. 2017 May 30;17(1):91. doi: 10.1186/s12870-017-1040-4.

19.

Association mapping of loci controlling genetic and environmental interaction of soybean flowering time under various photo-thermal conditions.

Mao T, Li J, Wen Z, Wu T, Wu C, Sun S, Jiang B, Hou W, Li W, Song Q, Wang D, Han T.

BMC Genomics. 2017 May 26;18(1):415. doi: 10.1186/s12864-017-3778-3.

20.

Phenotypic characterization and genetic dissection of nine agronomic traits in Tokachi nagaha and its derived cultivars in soybean (Glycine max (L.) Merr.).

Liu Z, Li H, Fan X, Huang W, Yang J, Wen Z, Li Y, Guan R, Guo Y, Chang R, Wang D, Chen P, Wang S, Qiu LJ.

Plant Sci. 2017 Mar;256:72-86. doi: 10.1016/j.plantsci.2016.11.009. Epub 2016 Nov 23.

PMID:
28167041

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