Display options
Cite
Jiang P, Zhang PP, Zhang X, et al. Genetic Diversity and Association Analysis for Solvent Retention Capacity in the Accessions Derived from Soft Wheat Ningmai 9. Int J Genomics. 2017;2017:2413150doi: 10.1155/2017/2413150.
Jiang, P., Zhang, P. P., Zhang, X., & Ma, H. X. (2017). Genetic Diversity and Association Analysis for Solvent Retention Capacity in the Accessions Derived from Soft Wheat Ningmai 9. International journal of genomics, 20172413150. https://doi.org/10.1155/2017/2413150
Jiang, Peng, et al. "Genetic Diversity and Association Analysis for Solvent Retention Capacity in the Accessions Derived from Soft Wheat Ningmai 9." International journal of genomics vol. 2017 (2017): 2413150. doi: https://doi.org/10.1155/2017/2413150
Jiang P, Zhang PP, Zhang X, Ma HX. Genetic Diversity and Association Analysis for Solvent Retention Capacity in the Accessions Derived from Soft Wheat Ningmai 9. Int J Genomics. 2017;2017:2413150. doi: 10.1155/2017/2413150. Epub 2017 Feb 05. PMID: 28261603; PMCID: PMC5316455.
Copy Download .nbib Format: NLM
Share it on

Int J Genomics. 2017;2017:2413150. doi: 10.1155/2017/2413150. Epub 2017 Feb 05.

Genetic Diversity and Association Analysis for Solvent Retention Capacity in the Accessions Derived from Soft Wheat Ningmai 9.

International journal of genomics

Peng Jiang, Ping-Ping Zhang, Xu Zhang, Hong-Xiang Ma

Affiliations

  1. Provincial Key Lab for Agrobiology, Jiangsu Academy of Agricultural Sciences/Jiangsu Collaborative Innovation Center for Modern Crop Production, 50 Zhongling Street, Nanjing, Jiangsu 210014, China.

PMID: 28261603 PMCID: PMC5316455 DOI: 10.1155/2017/2413150

Abstract

Solvent retention capacity (SRC) test is an effective method for quality evaluation of soft wheat. Ningmai 9 is a founder in soft wheat breeding. The SRC and genotype of Ningmai 9 and its 117 derivatives were tested. Association mapping was employed to identify the quantitative trait loci (QTL) associated with SRCs. Ningmai 9 had the allele frequency of 75.60% and 67.81% to its first- and second-generation derivatives, respectively, indicating higher contribution than theoretical expectation. Neighbor-joining cluster based on the genotyping data showed that Ningmai 9 and most of its first-generation derivatives were clustered together, whereas its second-generation derivatives were found in another group. The variation coefficients of SRCs in the derivatives ranged from 5.35% to 8.63%. A total of 29 markers on 13 chromosomes of the genome were associated with the SRCs. There were 6 markers associated with more than one SRC or detected in two years. The results suggested that QTL controlling SRCs in Ningmai 9 might be different from other varieties. Markers

Conflict of interest statement

The authors declare that they have no competing interests.

References

  1. Annu Rev Plant Biol. 2003;54:357-74 - PubMed
  2. Theor Appl Genet. 2005 Jul;111(2):206-17 - PubMed
  3. Bioinformatics. 2007 Oct 1;23(19):2633-5 - PubMed
  4. Mol Biol Evol. 2013 Dec;30(12):2725-9 - PubMed
  5. Mol Ecol Resour. 2009 Sep;9(5):1322-32 - PubMed
  6. Theor Appl Genet. 2011 Mar;122(5):961-70 - PubMed
  7. Theor Appl Genet. 2015 Nov;128(11):2227-42 - PubMed
  8. Mol Ecol. 2005 Jul;14(8):2611-20 - PubMed
  9. Theor Appl Genet. 2004 Oct;109(6):1105-14 - PubMed
  10. Genetics. 2006 Feb;172(2):1165-77 - PubMed
  11. Proc Natl Acad Sci U S A. 1984 Dec;81(24):8014-8 - PubMed

Publication Types