Statistical methods based on linear models in application for experimentation, genetics and plant breeding
2010
Madry, W. | Studnicki, M.,Szkola Glowna Gospodarstwa Wiejskiego, Warszawa (Poland). Katedra Doswiadczalnictwa i Bioinformatyki | Mankowski, D. R.,Instytut Hodowli i Aklimatyzacji Roslin, Radzikow (Poland). Zaklad Nasiennictwa i Nasionoznawstwa | Kaczmarek, Z. | Krajewski, P.,Polska Akademia Nauk, Poznan (Poland). Inst. Genetyki Roslin
Basic information referring to application of variance analysis linear models in the data statistical analysis, got from factor experiments and trials, were gathered in the monograph. Rules of data analysis and interpretation of received results both from one-factor and two-factor experiments as well from multi-environment cultivar trials (MET) were presented. Both classic and more advanced statistical methods based on fixed , random and mixed linear models for data from complete and incomplete designs were shown. Designs and statistical methods refer to usual one-factor and two-factor experiments as well to specific kinds of genetic and breeding trials and experiments carried out in one environment or repeated across several locations in one year
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