Identification of QTL with large effect on seed weight in a selective population of soybean with genome-wide association and fixation index analyses-Reference-Cited by-同舟云学术

Identification of QTL with large effect on seed weight in a selective population of soybean with genome-wide association and fixation index analyses

Published:2017-07-12 Issue:1 Volume:18 Page:
ISSN:1471-2164
Container-title:BMC Genomics
language:en
Short-container-title:BMC Genomics

Author:

Yan Long,Hofmann Nicolle,Li Shuxian,Ferreira Marcio Elias,Song Baohua,Jiang Guoliang,Ren Shuxin,Quigley Charles,Fickus Edward,Cregan Perry,Song Qijian

Funder

ARS-USDA

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/s12864-017-3922-0.pdf

Reference46 articles.

1. Zhang J, Song Q, Cregan PB, Jiang G-L. Genome-wide association study, genomic prediction and marker-assisted selection for seed weight in soybean (Glycinemax). Theor Appl Genet. 2016;129(1):117–30.

2. Mian M, Bailey M, Tamulonis J, Shipe E, Carter T, Parrott W, Ashley D, Hussey R, Boerma H. Molecular markers associated with seed weight in two soybean populations. Theor Appl Genet. 1996;93(7):1011–6.

3. Grant D, Nelson RT, Cannon SB, Shoemaker RC: SoyBase, the USDA-ARS soybean genetics and genomics database. Nucleic Acids Res 2009:gkp798.

4. Song Q, Long Y, Quigley C, Jordan BD, Fickus E, Schroeder S, Song B-H, An Y-QC, Hyten D, Nelson R, et al. Genetic characterization of the soybean nested association mapping population. Plant Genome. 2017; In press

5. Hwang E-Y, Song Q, Jia G, Specht JE, Hyten DL, Costa J, Cregan PB. A genome-wide association study of seed protein and oil content in soybean. BMC Genomics. 2014;15(1):1.

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