Acta Agron Sin ›› 2013, Vol. 39 ›› Issue (03): 449-454.doi: 10.3724/SP.J.1006.2013.00449
• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles Next Articles
WANG Chun-Ping1,*,HU Xi-Yuan 2,*,SHEN Kun-Lun2
[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 |
[1] | XIAO Ying-Ni, YU Yong-Tao, XIE Li-Hua, QI Xi-Tao, LI Chun-Yan, WEN Tian-Xiang, LI Gao-Ke, HU Jian-Guang. Genetic diversity analysis of Chinese fresh corn hybrids using SNP Chips [J]. Acta Agronomica Sinica, 2022, 48(6): 1301-1311. |
[2] | WANG Jing-Tian, ZHANG Ya-Wen, DU Ying-Wen, REN Wen-Long, LI Hong-Fu, SUN Wen-Xian, GE Chao, ZHANG Yuan-Ming. SEA v2.0: an R software package for mixed major genes plus polygenes inheritance analysis of quantitative traits [J]. Acta Agronomica Sinica, 2022, 48(6): 1416-1424. |
[3] | XU Tian-Jun, ZHANG Yong, ZHAO Jiu-Ran, WANG Rong-Huan, LYU Tian-Fang, LIU Yue-E, CAI Wan-Tao, LIU Hong-Wei, CHEN Chuan-Yong, WANG Yuan-Dong. Canopy structure, photosynthesis, grain filling, and dehydration characteristics of maize varieties suitable for grain mechanical harvesting [J]. Acta Agronomica Sinica, 2022, 48(6): 1526-1536. |
[4] | LI Yi-Jun, LYU Hou-Quan. Effect of agricultural meteorological disasters on the production corn in the Northeast China [J]. Acta Agronomica Sinica, 2022, 48(6): 1537-1545. |
[5] | YAN Yu-Ting, SONG Qiu-Lai, YAN Chao, LIU Shuang, ZHANG Yu-Hui, TIAN Jing-Fen, DENG Yu-Xuan, MA Chun-Mei. Nitrogen accumulation and nitrogen substitution effect of maize under straw returning with continuous cropping [J]. Acta Agronomica Sinica, 2022, 48(4): 962-974. |
[6] | SU Da, YAN Xiao-Jun, CAI Yuan-Yang, LIANG Tian, WU Liang-Quan, MUHAMMAD Atif Muneer, YE De-Lian. Effects of phosphorus fertilizer on kernel phytic acid and zinc bioavailability in sweet corn [J]. Acta Agronomica Sinica, 2022, 48(1): 203-214. |
[7] | ZHANG Jian, XIE Tian-Jin, WEI Xiao-Nan, WANG Zong-Kai, LIU Chong-Tao, ZHOU Guang-Sheng, WANG Bo. Estimation of feed rapeseed biomass based on multi-angle oblique imaging technique of unmanned aerial vehicle [J]. Acta Agronomica Sinica, 2021, 47(9): 1816-1823. |
[8] | JIANG Jian-Hua, ZHANG Wu-Han, DANG Xiao-Jing, RONG Hui, YE Qin, HU Chang-Min, ZHANG Ying, HE Qiang, WANG De-Zheng. Genetic analysis of stigma traits with genic male sterile line by mixture model of major gene plus polygene in rice (Oryza sativa L.) [J]. Acta Agronomica Sinica, 2021, 47(7): 1215-1227. |
[9] | HUANG Bing-Yan, SUN Zi-Qi, LIU Hua, FANG Yuan-Jin, SHI Lei, MIAO Li-Juan, ZHANG Mao-Ning, ZHANG Zhong-Xin, XU Jing, ZHANG Meng-Yuan, DONG Wen-Zhao, ZHANG Xin-You. Genetic analysis of fat content based on nested populations in peanut (Arachis hypogaea L.) [J]. Acta Agronomica Sinica, 2021, 47(6): 1100-1108. |
[10] | LEI Yong, WANG Zhi-Hui, HUAI Dong-Xin, GAO Hua-Yuan, YAN Li-Ying, LI Jian-Guo, LI Wei-Tao, CHEN Yu-Ning, KANG Yan-Ping, LIU Hai-Long, WANG Xin, XUE Xiao-Meng, JIANG Hui-Fang, LIAO Bo-Shou. Development and application of a near infrared spectroscopy model for predicting high sucrose content of peanut seed [J]. Acta Agronomica Sinica, 2021, 47(2): 332-341. |
[11] | LIU Shao-Rong, YANG Yang, TIAN Hong-Li, YI Hong-Mei, WANG Lu, KANG Ding-Ming, FANG Ya-Ming, REN Jie, JIANG Bin, GE Jian-Rong, CHENG Guang-Lei, WANG Feng-Ge. Genetic diversity analysis of silage corn varieties based on agronomic and quality traits and SSR markers [J]. Acta Agronomica Sinica, 2021, 47(12): 2362-2370. |
[12] | WANG Ke-Ru, LI Lu-Lu, GAO Shang, WANG Yi-Zhou, HUANG Zhao-Fu, XIE Rui-Zhi, MING Bo, HOU Peng, XUE Jun, ZHANG Guo-Qiang, HOU Liang-Yu, LI Shao-Kun. Analysis of main quality index of corn harvesting with combine in China [J]. Acta Agronomica Sinica, 2021, 47(12): 2440-2449. |
[13] | LI Yan-Da, CAO Zhong-Sheng, SHU Shi-Fu, SUN Bin-Feng, YE Chun, HUANG Jun-Bao, ZHU Yan, TIAN Yong-Chao. Model for monitoring leaf dry weight of double cropping rice based on crop growth monitoring and diagnosis apparatus [J]. Acta Agronomica Sinica, 2021, 47(10): 2028-2035. |
[14] | YAN Xiao-Jun, YE De-Lian, SU Da, LI Fang, ZHENG Chao-Yuan, WU Liang-Quan. Effects of phosphorus application on phosphorus uptake and utilization of sweet corn [J]. Acta Agronomica Sinica, 2021, 47(1): 169-176. |
[15] | CUI Ying, LIN Hong-Hong, XIE Yun, LIU Su-Hong. Application study of crop yield prediction based on AquaCrop model in black soil region of Northeast China [J]. Acta Agronomica Sinica, 2021, 47(1): 159-168. |
|