作物学报 ›› 2013, Vol. 39 ›› Issue (03): 449-454.doi: 10.3724/SP.J.1006.2013.00449
王春平1,*,胡希远2,*,沈琨仑2
WANG Chun-Ping1,*,HU Xi-Yuan 2,*,SHEN Kun-Lun2
摘要:
[1]Mo H-D(莫惠栋). Statistics for Agricultural Experiments (农业试验统计), 2nd edn. Shanghai: Shanghai Scientific and Technical Publishers, 1992. pp 260−278 (in Chinese)[2]Gai J-Y(盖钧镒). Statistic Methods for Experiments (试验统计方法). Beijing: China Agriculture Press, 2000. pp 120−124 (in Chinese)[3]Wang G-S(王松桂), Chen M(陈敏), Chen L-P(陈立萍). Linear Statistical Model (线性统计模型). Beijing: Higher Education Press, 2007. pp 164−178 (in Chinese) [4]Casanoves F, Macchiavelli R, Balzarini M. Error variation in multienvironment peanut trials: within-trial spatial correlation and between-trial heterogeneity. Crop Sci, 2005, 45: 1927−1933[5]Zimmerman D L, Harville D A. A random field approach to the analysis of field-plot experiments and other spatial experiments. Biometrics, 1991, 47: 223−239[6]Schabenberger O, Pierce F J. Contemporary Statistical Models for the Plant and Soil Sciences. Boca Raton London New York Washington, D.C.: CRC Press, 2002. pp 599−648[7]Stroup W W. Power analysis based on spatial effects mixed models: a tool for comparing design and analysis strategies in the presence of spatial variability. J Agric Biol Environ Stat, 2002, 7: 491−511 [8]Hu X-Y(胡希远), Spilke J. Spatial variability and its statistical control in field experiment. Acta Agron Sin (作物学报), 2007, 33(4): 620−624 (in Chinese with English abstract)[9]Smith A B, Cullis B R, Thompson R. Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend. Biometrics, 2001, 57: 1138−1147[10]Smith A B, Cullis B R, Thompson R. The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches. J Agric Sci, 2005, 143: 449−462[11]Little R C, Milliken G A, Stroup W W, Wolfinger R D. SAS System for Mixed Models. Cary, NC: SAS Institute, Inc. 1996. pp 303−326[12]Verbeke G, Molenberghs G. Linear Mixed Models in Practice. New York: Springer-Verlag, 1997. pp 185−210[13]Henderson C R. Applications of Linear Models in Animal Breeding. University of Guelph, Guelph, AB, 1984[14]Denis J B, Pipho H P, van Eeuwijk F A. Modeling expectation and variance for genotype by environment data. Heredity, 1997, 79: 162−171[15]Brady T W, Kathleen B W, Andrzej T G. Linear Mixed Models. New York: CRC Press, 2002 [16]Bozdogan H. Akaike’s information criterion and recent developments in information complexity. J Math Psychol, 2000, 44: 62−91[17]Wolfinger R. Covariance structure selection in general mixed models. Commu Stat Simul Comput, 1993, 22: 1079−1106[18]Gauch H G. Model selection and validation for yield trials with interaction. Biometrics, 1988, 44: 705−715[19]Gauch H G. Statistical analysis of yield trials by AMMI and GGE. Crop Sci, 2006, 46: 1488−1500[20]Finly K W, Wilkinson G N. The analysis of adaptation in a plant breeding program. Aust J Agric Res, 1963, 14: 742−754[21]Eberhart S A, Russell W A. Stability parameters for comparing varieties. Crop Sci, 1966, 6: 36−40[22]Hu X-Y(胡希远), You H-L(尤海磊), Ren C-H(任长宏), Wu D(吴冬), Li J-P(李建平). Analysis of crop variety regional trials based on selection of covariance structures. Acta Agron Sin (作物学报), 2009, 35(11): 1981−1989 (in Chinese with English abstract)[23]Hu X Y, Spilke J. Variance–covariance structure and its influence on variety assessment in regional crop trials. Field Crops Res, 2011, 120: 1−8 |
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