Zastosowania modelu AMMI do analizy reakcji odmian na środowiska

Jakub Paderewski

jakub_paderewski@sggw.edu.pl
Katedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa (Poland)

Wiesław Mądry


Katedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa (Poland)

Abstrakt

W doświadczalnictwie rolniczym kluczową kwestią są serie doświadczeń odmianowych, stanowiące szczególny przypadek doświadczeń dwuczynnikowych, w których jednym czynnikiem są odmiany, a drugim miejscowości. Do opisu charakteru interakcji dwóch czynników, a więc w powyżej opisanym przypadku, mogą być stosowane wielowymiarowe modele statystyczne takie jak model AMMI, GGE czy JREG. Praca ta ma przybliżyć możliwości zastosowania wybranych modeli statystycznych ze szczególnym uwzględnieniem modelu AMMI. Oprócz analizy AMMI przedstawiono uzupełniającą analizę skupień. Opisane metody statystyczne są celowe w analizie reakcji odmian roślin rolniczych na warunki środowiskowe, czyli agroekosystemy, na podstawie danych z serii doświadczeń.

Instytucje finansujące

Praca zawiera wyniki badań w projekcie własnym Ministerstwa Nauki i Szkolnictwa Wyższego nr N N310 091136 pt. „Badanie uwarunkowania plonu ziarna odmian pszenicy ozimej przez cechy plonotwórcze roślin”.

Słowa kluczowe:

analiza AMMI, analiza GGE, interakcja genotypowo-środowiskowa, modele multiplikatywne, ocena adaptacji

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Opublikowane
03/29/2012

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Paderewski, J. i Mądry, W. (2012) „Zastosowania modelu AMMI do analizy reakcji odmian na środowiska”, Biuletyn Instytutu Hodowli i Aklimatyzacji Roślin, (263), s. 161–188. doi: 10.37317/biul-2012-0082.

Autorzy

Jakub Paderewski 
jakub_paderewski@sggw.edu.pl
Katedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa Poland

Autorzy

Wiesław Mądry 

Katedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa Poland

Statystyki

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Prawa autorskie (c) 2012 Jakub Paderewski, Wiesław Mądry

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