328

Biology and Biotechnology of Environmental Stress Tolerance in Plants, Volume 3

Xie, Y., Ye, S., Wang, Y., Xu, L., Zhu, X., Yang, J., Feng, H., et al., (2015). Transcriptome­

based gene profiling provides novel insights into the characteristics of radish root response

to Cr stress with next-generation sequencing. Front. Plant Sci., 6, 202.

Xu, S., (2003). Theoretical basis of the Beavis effect. Genetics, 165, 2259–2268.

Xu, Z., & Taylor, J. A., (2009). SNPinfo: Integrating GWAS and candidate gene information

into functional SNP selection for genetic association studies. Nucleic Acids Res., 37,

W600–W605.

Yang, Y., Wang, L., Zhang, D., Cheng, H., Wang, Q., Yang, H., & Yu, D., (2020). GWAS

identifies two novel loci for photosynthetic traits related to phosphorus efficiency in

soybean. Mole. Breed., 40, 1–14.

Yu, J., Pressoir, G., Briggs, W. H., Bi, I. V., Yamasaki, M., Doebley, J. F., McMullen, M. D.,

et al., (2006). A unified mixed-model method for association mapping that accounts for

multiple levels of relatedness. Nat. Genet., 38, 203–208.

Zhang, Z., Buckler, E. S., Casstevens, T. M., & Bradbury, P. J., (2009). Software engineering the

mixed model for genome-wide association studies on large samples. Brief. Bioinformatics,

10, 664–675.

Zhang, Z., Ersoz, E., Lai, C. Q., Todhunter, R. J., Tiwari, H. K., Gore, M. A., Bradbury, P. J.,

et al., (2010). Mixed linear model approach adapted for genome-wide association studies.

Nat. Genet., 42, 355–360.

Zhou, X., & Stephens, M., (2012). Genome-wide efficient mixed-model analysis for

association studies. Nat. Genet., 44, 821–824.

Zhu, J. K., (2002). Salt and drought stress signal transduction in plants. Annu. Rev. Plant Biol.,

53, 247–273.