Statistical support of selection decisions at early stage of cereal breeding. Part I. Methods of estimation of treatment effects
Katarzyna Ambroży
katarzyna.ambrozy-deregowska@up.poznan.plKatedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Ewa Bakinowska
Katedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Jan Bocianowski
Katedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Anna Budka
Katedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Wiesław Pilarczyk
Katedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Bogna Zawieja
Katedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu (Poland)
Abstract
At early stages of plant breeding the field trials are usually performed with use of very high number of lines. Often the number of such lines exceeds 1000. Among them, there are genotypes with high values of an observed trait, genotypes with medium values and genotypes characterized by low values of the trait. For various reasons such trials are usually laid down in one replicate with use of one or several standard varieties repeated many times and systematically placed in experimental field among tested lines. After one year of trials, a breeder has just single observations for the tested lines and is forced (by economy) to make very severe reduction of experimental material making selection of the best lines. In the paper, eight methods are presented that can be used for statistical elaboration of one-replicate trials with standards. Additionally, four criteria are given for selection of the best method of statistical elaboration of such data. One of these criteria relies on comparisons of genotype effects obtained by the classical analysis of variance for random subset of lines with effects of the same lines received when particular methods for elaboration of one replicate trials with standards were used. It is possible when, at the same experimental field, such additional replicated trials with (randomly chosen) subset of lines is performed. The other criterion relies on comparisons of uniformity of distributions of plots with the best (chosen for further research) lines in experimental field. As a consequence of randomization the best lines should be evenly distributed in a total area of trial.
Supporting Agencies
Keywords:
environmental index, moving average, selection decisions, unreplicated breeding trialsReferences
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Authors
Katarzyna Ambrożykatarzyna.ambrozy-deregowska@up.poznan.pl
Katedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu Poland
Authors
Ewa BakinowskaKatedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu Poland
Authors
Jan BocianowskiKatedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu Poland
Authors
Anna BudkaKatedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu Poland
Authors
Wiesław PilarczykKatedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu Poland
Authors
Bogna ZawiejaKatedra Metod Matematycznych i Statystycznych, Uniwersytet Przyrodniczy w Poznaniu Poland
Statistics
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Copyright (c) 2008 Katarzyna Ambroży, Ewa Bakinowska, Jan Bocianowski, Anna Budka, Wiesław Pilarczyk, Bogna Zawieja
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