An evaluation of the efficiency of plant protection products via nonlinear statistical methods – a simulation study

Bakinowska E., Kala R. (2007): An application of logistic models for comparison of varieties of seed pea with respect to lodging. Biometrical Letters 44(2): 143-154.Search in Google Scholar

Bakinowska E., Pilarczyk W., Osiecka A., Wiatr K. (2012): Analysis of downy mildew infection of field pea varieties using the logistic model. Journal of Plant Protection Research 52(2): 264-270.10.2478/v10045-012-0038-zSearch in Google Scholar

Burgos N.R., Tranel P.J., Streibig J.C., Davis V.M., Shaner D., Norsworthy J.K., Ritz C. (2013): Review: confirmation of resistance to herbicides and evaluation of resistance levels. Weed Science 61(1): 4-20.10.1614/WS-D-12-00032.1Search in Google Scholar

Falconer D.S. (1960): Introduction to quantitative genetics. Ronald Press Co, New York.Search in Google Scholar

Finney D.J. (1979): Bioassay and the practice of statistical inference. International Statistical Review 47(1): 1-12.10.2307/1403201Search in Google Scholar

Moliński K., Szydłowski M., Szwaczkowski T., Dobek A., Skotarczak E. (2003): An algorithm for genetic variance estimation of reproductive traits under a threshold model. Archives of Animal Breeding 46(1): 85-91.10.5194/aab-46-85-2003Search in Google Scholar

McCullagh P., Nelder J.A. (1989): Generalized linear models. 2nd. ed., Chapman and Hall, London.10.1007/978-1-4899-3242-6Search in Google Scholar

Rao C.R., Toutenburg H. (1999): Linear Models. 2nd ed. Springer-Verlag, New York.Search in Google Scholar

Ritz C., Pipper C.B., Strebig J.C. (2013): Analysis of germination data from agricultural experiments, European Journal of Agronomy 45: 1-6.10.1016/j.eja.2012.10.003Search in Google Scholar

SAS Institute (1997): SAS/STAT software: Changes and enhancements through release 6.12. SAS Inst., Cary, NC, USA.Search in Google Scholar

Sørensen D.A., Andersen S, Gianola D., Kørsgaard I. (1995): Bayesian inference in threshold models using Gibbs sampling. Genetics Selection Evolution 27: 229-249.10.1186/1297-9686-27-3-229Search in Google Scholar

Sørensen D.A, Gianola D. (2002): Likelihood, Bayesian and MCMC methods in quantitative genetics. Springer-Verlag, New York.10.1007/b98952Search in Google Scholar

Skotarczak E., Molińska A., Moliński K. (2002): Zastosowanie modelu progowego do oceny skuteczności działania wybranych herbicydów. Colloquium Biometryczne 32: 125-132.Search in Google Scholar