Metody statystyczne do oceny roznorodnosci fenotypowej dla cech ilosciowych w kolekcjach roslinnych zasobow genowych

• Autorzy: Madry W

Warianty tytułu

EN

Statistical methods used for analysis of quantitative phenotypic diversity in plant genetic resources

• Języki publikacji: PL

Abstrakty

PL

W pracy przedstawiono krótką charakterystykę najważniejszych jedno- i wielocechowych metod statystycznych, stosowanych do oceny różnorodności obiektów w kolekcjach roślinnych zasobów genowych pod względem cech ilościowych oraz dyskusję nad wyborem i stosowaniem tych narzędzi z uwzględnieniem pakietu komputerowego SAS. Opracowanie zostało oparte na analizie metodyki statystycznej w wielu oryginalnych publikacjach z zakresu roślinnych zasobów genowych, zawartych w renomowanych czasopismach naukowych. Metody jednowymiarowe są oparte na losowym modelu analizy wariancji dla danych z doświadczenia, założonego w układzie blokowym w jednym środowisku oraz dla danych z serii doświadczeń, założonych w tym samym układzie blokowym. Spośród wielocechowych metod analizy różnorodności obiektów wskazano na dużą efektywność zintegrowanej metody o angielskiej nazwie pattern analysis., Polega ona na zastosowaniu analizy skupień, jako metody klasyfikującej obiekty w grupy wielocechowo jednorodne oraz analizy składowych głównych (jeśli stosowaną miarą bliskości obiektów jest odległość euklidesowa) lub analizy zmiennych kanonicznych (jeśli stosowaną miarą bliskości obiektów jest odległość Mahalanobisa), jako metod komplementarnych, służących do analitycznej i graficznej oceny podobieństwa i niepodobieństwa badanych obiektów i ich grup jednorodnych.

EN

This review is based on both classical and newest original research publications found in prominent journals on plant genetic resources. It exemplifies, illustrates and summarizes statistical methodology for analyzing multivariate data from trials and surveys applied to evaluate phenotypic diversity in germplasm collections. Specific methodological knowledge necessary to select appropriate techniques, carry out data analysis and make proper interpretations of analytical results is discussed. Those uni- and multivariate statistical methods proved effective for evaluating phenotypic diversity in plant genetic resources for quantitative traits are shortly characterized and discussed with respect to their use with the SAS package. Univariate methods are based on random ANOVA model for data originating from a trial carried out in a randomized complete block design and also in a multi-environment trials carried out in the same block design. Pattern analysis is mainly recommended, among multivariate techniques, as an effective procedure to evaluate quantitative phenotypic diversity in the germplasm collections. It is a combined approach including cluster analysis as a classification procedure and principal component analysis or canonical variant analysis as the ordination procedures to show graphically similarities and dissimilarities among accessions and their homogenous groups.

Słowa kluczowe

PL

kolekcje roslin; metody statystyczne jednocechowe; zmiennosc fenotypowa; zasoby genowe; rosliny uprawne; metody statystyczne wielocechowe; metody statystyczne; metody oceny

EN

plant collection; phenotypic variability; genetic resource; cultivated plant; statistical method; assessment method

• Wydawca: -
• Czasopismo: Zeszyty Problemowe Postępów Nauk Rolniczych
• Rocznik: 2007
• Tom: 517
• Numer: 1
• Opis fizyczny: s.21-41,rys.,bibliogr.

Twórcy

autor

Madry W

• Katedra Biometrii, Szkola Glowna Gospodarstwa Wiejskiego, ul.Nowowiejskiego 159, 02-776 Warszawa

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