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. 2018 Apr 25;8:6505. doi: 10.1038/s41598-018-24946-3

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Manhattan plot of important QTN and haplotype analysis of candidate genes. These genes are related to corresponding QTN including: analysis of candidate genes was done by using SAS general linear model approach qSNK1 (A), qSNK12 (B), qSNC1 (C), qSNC6 (D), qRNK2 (E), qSDW9a (F) qSST5 (G), qSST9 (H) and qGR3 (I). Each point was a gene in 200 kb region of the peak SNP of QTN. Dot line showed the threshold to determine candidate genes. The * and ** suggested significance of ANOVA at P < 0.05 and 0.01. The letter on histogram (a and b) indicated multiple comparisons result at the significant levels 0.05 and 0.01. The value on top of histogram was the number of individuals for each haplotype and histogram length shows the mean value of these individuals for each haplotype