Zhang J - Search Results

1

Genome-wide association study, genomic prediction and marker-assisted selection for seed weight in soybean (Glycine max).

Zhang J, Song Q, Cregan PB, Jiang GL. Zhang J, et al. Theor Appl Genet. 2016 Jan;129(1):117-30. doi: 10.1007/s00122-015-2614-x. Epub 2015 Oct 30. Theor Appl Genet. 2016. PMID: 26518570 Free PMC article.

2

Genome-wide association study for flowering time, maturity dates and plant height in early maturing soybean (Glycine max) germplasm.

Zhang J, Song Q, Cregan PB, Nelson RL, Wang X, Wu J, Jiang GL. Zhang J, et al. BMC Genomics. 2015 Mar 20;16(1):217. doi: 10.1186/s12864-015-1441-4. BMC Genomics. 2015. PMID: 25887991 Free PMC article.

3

Genome-wide association and epistasis studies unravel the genetic architecture of sudden death syndrome resistance in soybean.

Zhang J, Singh A, Mueller DS, Singh AK. Zhang J, et al. Plant J. 2015 Dec;84(6):1124-36. doi: 10.1111/tpj.13069. Plant J. 2015. PMID: 26561232 Free article.

4

Genome-wide Scan for Seed Composition Provides Insights into Soybean Quality Improvement and the Impacts of Domestication and Breeding.

Zhang J, Wang X, Lu Y, Bhusal SJ, Song Q, Cregan PB, Yen Y, Brown M, Jiang GL. Zhang J, et al. Mol Plant. 2018 Mar 5;11(3):460-472. doi: 10.1016/j.molp.2017.12.016. Epub 2018 Jan 2. Mol Plant. 2018. PMID: 29305230 Free article.

5

Deconstructing the genetic architecture of iron deficiency chlorosis in soybean using genome-wide approaches.

Assefa T, Zhang J, Chowda-Reddy RV, Moran Lauter AN, Singh A, O'Rourke JA, Graham MA, Singh AK. Assefa T, et al. Among authors: zhang j. BMC Plant Biol. 2020 Jan 28;20(1):42. doi: 10.1186/s12870-020-2237-5. BMC Plant Biol. 2020. PMID: 31992198 Free PMC article.

6

Genetic variation and marker-trait association affect the genomic selection prediction accuracy of soybean protein and oil content.

Sun B, Guo R, Liu Z, Shi X, Yang Q, Shi J, Zhang M, Yang C, Zhao S, Zhang J, He J, Zhang J, Su J, Song Q, Yan L. Sun B, et al. Among authors: zhang m, zhang j. Front Plant Sci. 2022 Dec 13;13:1064623. doi: 10.3389/fpls.2022.1064623. eCollection 2022. Front Plant Sci. 2022. PMID: 36582644 Free PMC article.

7

Genome-Wide Detection of Quantitative Trait Loci and Prediction of Candidate Genes for Seed Sugar Composition in Early Mature Soybean.

Hu L, Wang X, Zhang J, Florez-Palacios L, Song Q, Jiang GL. Hu L, et al. Among authors: zhang j. Int J Mol Sci. 2023 Feb 5;24(4):3167. doi: 10.3390/ijms24043167. Int J Mol Sci. 2023. PMID: 36834578 Free PMC article.

8

Gene-allele system of shade tolerance in southern China soybean germplasm revealed by genome-wide association study using gene-allele sequence as markers.

Su Y, Zhang Z, He J, Zeng W, Cai Z, Lai Z, Pan Y, Hao X, Xing G, Wang W, Zhang J, Li Y, Sun Z, Gai J. Su Y, et al. Among authors: zhang z, zhang j. Theor Appl Genet. 2023 Jun 13;136(7):152. doi: 10.1007/s00122-023-04390-2. Theor Appl Genet. 2023. PMID: 37310498 Review.

9

Leveraging genomic prediction to scan germplasm collection for crop improvement.

de Azevedo Peixoto L, Moellers TC, Zhang J, Lorenz AJ, Bhering LL, Beavis WD, Singh AK. de Azevedo Peixoto L, et al. Among authors: zhang j. PLoS One. 2017 Jun 9;12(6):e0179191. doi: 10.1371/journal.pone.0179191. eCollection 2017. PLoS One. 2017. PMID: 28598989 Free PMC article.

10

Main and epistatic loci studies in soybean for Sclerotinia sclerotiorum resistance reveal multiple modes of resistance in multi-environments.

Moellers TC, Singh A, Zhang J, Brungardt J, Kabbage M, Mueller DS, Grau CR, Ranjan A, Smith DL, Chowda-Reddy RV, Singh AK. Moellers TC, et al. Among authors: zhang j. Sci Rep. 2017 Jun 15;7(1):3554. doi: 10.1038/s41598-017-03695-9. Sci Rep. 2017. PMID: 28620159 Free PMC article.

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