Spatial analysis and its effects on efficiency of genetic trial in Chinese fir

doi:10.3969/j.issn.1000-2006.2015.05.007

BIAN Liming, ZHENG Renhua, XIAO Hui, GAN Zhendong, SU Shunde, SHI Jisen

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2015, Vol. 39 ›› Issue (05) : 39-44.

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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2015, Vol. 39 ›› Issue (05) : 39-44. DOI: 10.3969/j.issn.1000-2006.2015.05.007

Spatial analysis and its effects on efficiency of genetic trial in Chinese fir

BIAN Liming¹, ZHENG Renhua², XIAO Hui², GAN Zhendong³, SU Shunde², SHI Jisen^1*

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Abstract

DBH at the age of 10 years in a progeny test of Chinese fir with 80 families from Fujian Weimin Forest Farm was examined by both experimental design model and combined design with spatial model, through which spatial analysis methods using ASReml was introduced, and efficiency of genetic trial was improved. All design effects was found replaced by spatial effects in combined model. AIC was reduced by 129.2 in spatial model, which was more effectively modelled the spatial variation than the design model, and greatly increased additive genetic variance by 16.5%, reduced residual variance by 11.6%, and improved individual tree narrow sense heritabilities by 31.3% correspondingly. Autocorrelations in row and column direction with 0.89 and 0.96 indicated that there are strong global trend in this site.

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BIAN Liming, ZHENG Renhua, XIAO Hui, GAN Zhendong, SU Shunde, SHI Jisen. Spatial analysis and its effects on efficiency of genetic trial in Chinese fir[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2015, 39(05): 39-44 https://doi.org/10.3969/j.issn.1000-2006.2015.05.007

References

[1] Gilmour A R, Cullis B R, Verbyla A P. Accounting for natural and extraneous variation in the analysis of field experiments [J]. Journal of Agricultural, Biological, and Environmental Statistics, 1997, 2(3): 269-293.
[2] Ver Hoef J, Cressie N A. Spatial statistics: Analysis of field experiments[C]//Scheiner S, Gurevitch J. Design and analysis of ecological experiments. London: Chapman and Hall, 1993: 319-341.
[3] Costa e Silva J, Dutkowski G W, Gilmour A R. Analysis of early tree height in forest genetic trials is enhanced by including a spatially correlated residual [J]. Canadian Journal of Forest Research, 2001, 31(11): 1887-1893.
[4] 张建方. 关于试验设计的效率及有关问题 [J]. 数理统计与管理, 2007, 26(5): 792-801. Zhang J F.On the efficiency of experimental design and its some related problems [J]. Application of Statistics and Management, 2007, 26(5): 792-801.
[5] Costa e Silva J, Potts B M, Bijma P, et al. Genetic control of interactions among individuals: contrasting outcomes of indirect genetic effects arising from neighbour disease infection and competition in a forest tree [J]. New Phytol, 2013, 197(2): 631-641.
[6] Magnussen S. A method to adjust simultaneously for spatial microsite and competition effects [J]. Canadian Journal of Forest Research, 1994, 24(5): 985-995.
[7] Williams E R, Matheson A C, Harwood C E. Experimental design and analysis for tree improvement [M]. Collingwood, Australia: CSIRO Pulishing, 2002.
[8] White T L, Adams W T, Neale D B. Foerst genetics [M]. London:CABI Publishing, 2007.
[9] Fu Y, Yanchuk A D, Namkoong G. Spatial patterns of tree height variations in a series of Douglas-fir progeny trials: implications for genetic testing [J]. Canadian Journal of Forest Research, 1999, 29(6): 714-723.
[10] Ye T Z, Jayawickrama K J S. Efficiency of using spatial analysis in first-generation coastal Douglas-fir progeny tests in the US Pacific Northwest [J]. Tree Genetics & Genomes, 2008, 4: 677-692.
[11] Dutkowski G W, Costa e Silva J, Gilmour A R, et al. Spatial analysis enhances modelling of a wide variety of traits in forest genetic trials [J]. Canadian Journal of Forest Research, 2006, 36(7): 1851-1870.
[12] Dutkowski G W, Costa e Silva J, Gilmour A R, et al. Spatial analysis methods for forest genetic trials [J]. Canadian Journal of Forest Research, 2002, 32(12): 2201-2214.
[13] Gezan S A. Optimal design and analysis of clonal forestry trials using simulated data [D]. Gainesville: University of Florida, 2005.
[14] 郑仁华. 杉木遗传育种研究进展与对策 [J]. 世界林业研究, 2005, 18(3): 63-65. Zheng R H. Research advances in genetic breeding of Chinese fir[J]. World Forest Research, 2005, 18(3): 63-65.
[15] 国家林业局. 国家森林资源清查[R].
[2004-10-01]. http://211.167.243.162:8085/8/index.html.
[16] Walsh B, Lynch M. Genetics and analysis of quantitative traits [M]. Sunderland, Maryland: Sinauer, 1998.
[17] Stram D O, Lee J W. Variance components testing in the longitudinal mixed effects model [J]. Biometrics, 1994, 50(4): 1171-1177.
[18] Gilmour A R, Cullis B R, Thompson R. ASReml user guide release 3.0 [M]. Hemel Hempstead, UK: VSN International, 2009.
[19] Akaike H. A new look at the statistical model identification [J]. IEEE Transactions on Automatic Control, 1974, 6(19): 8.
[20] Falconer D S. Introduction to quantitative genetics [M]. 4th Edition. New York: Longman, 1996.
[21] Cotterill P P. On estimating heritability according to practical applications [J]. Silvae Genetica, 1987, 36: 46-48.
[22] Fu Y. On implementation of incomplete block designs in forest genetic field trials [J]. Forest Genetics, 2003, 10(1): 23-33.
[23] Fu Y, Clarke G P Y, Namkoong G, et al. Incomplete block designs for genetic testing: statistical efficiencies of estimating family means [J]. Canadian Journal of Forest Research, 1998, 28(7): 977-986.
[24] Gezan S A, White T L, Huber D A. Comparison of experimental designs for clonal forestry using simulated data [J]. Forest Science, 2006, 52(1): 108-116.
[25] Magnussen S. Application and comparison of spatial models in analyzing tree-genetics field trials [J]. Canadian Journal of Forest Research, 1990, 20(5): 536-546.
[26] Bian L, Shi J, Zheng R, et al. Genetic parameters and genotype-environment interactions of Chinese fir(Cunninghamia lanceolata)in Fujian Province [J]. Canadian Journal of Forest Research, 2014, 44: 582-592.

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