Temat: multivariate method - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Assessment of winter oilseed rape DH lines using uni- and multivariate methods of quantitative genetics and mathematical methods
Autorzy:: Szala, L.
Kaczmarek, Z.
Adamska, E.
Cegielska-Taras, E.
Powiązania:: https://bibliotekanauki.pl/articles/81281.pdf
Data publikacji:: 2015
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: winter oilseed rape
Brassica napus
doubled haploid
androgenesis
multivariate method
transgression
genetic variation
quantitative genetics
mathematical method
Źródło:: BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology; 2015, 96, 2
0860-7796
Pojawia się w:: BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: The TDP method of seed yield component analysis in grain legume breeding
Autorzy:: Golaszewski, J
Idzkowska, M.
Milewska, J.
Powiązania:: https://bibliotekanauki.pl/articles/2044235.pdf
Data publikacji:: 1998
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: breeding population
path analysis
stem
treatment factor
multiple regression
yield component
grain legume
multivariate method
seed
two-dimensional partitioning method
Vicia faba
ontogenesis
plant height
fruiting node
broad bean
fodder pea
Pisum sativum
Opis:: The results of plant breeding trials with populations of fodder pea strains and broad bean hybrids were the basis of consideration on the interrelationship between some traits - the yield structure elements. Developed by Eaton, a relatively new method of yield component analysis called the two-dimensional partitioning method (TDP) was applied to analyse the data. The method, which combines multiple regression and ANOVA, allows for concise tabular presentation and simple interpretation of the distribution of traits in one direction and the sources of variance according to ANOVA model in the other direction. Additionally, the interpretation of the results was supported by such standard statistical techniques as ANOVA, simple and multiple regression and path analysis. The main components of pea yielding were plant height and the number of pods per plant. Among the analysed characters of broad bean the number of nodes with pods on the main stem, which turned out to be the determinant of broad bean yielding, might be strongly affected by environmental conditions. The number of nodes with pods might be considered a selecting character of high potential yielding of broad bean genotypes.
Źródło:: Journal of Applied Genetics; 1998, 39, 4; 299-308
1234-1983
Pojawia się w:: Journal of Applied Genetics
Dostawca treści:: Biblioteka Nauki

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