A New Approach to Sequential Yield Component Analysis (SYCA)

Autor:	Marcin Kozak, E. Zurawicz, Stanisław Pluta, W. Madry
Rok vydání:	2005
Předmět:	Crop yield Field data Direct effects Collinearity Ribes Horticulture Biology Heritability biology.organism_classification Component analysis Botany Statistics Path analysis (statistics) Agronomy and Crop Science
Zdroj:	Journal of New Seeds. 7:85-107
ISSN:	1522-9025 1522-886X
DOI:	10.1300/j153v07n01_07
Popis:	When yield-contributing characters appear in a known sequence, their direct effects on yield as evaluated in conventional path analysis could be a little artificial because of collinearity between the causal characters. A more appropriate method might be a technique called sequential yield component analysis, SYCA. Here a modification of this method (the modified SYCA), applicable to any reasonable sequential yield-contributing characters, is discussed. The objective of the paper was to provide the statistical background of the modified SYCA and discuss its appropriateness to study relative influence of sequential yield-contributing characters on overall yield. To demonstrate the new procedure, an experimental example for blackcurrant (Ribes nigrum L.) is used. Field data were obtained on 25 offspring (F1 single-cross hybrids) that resulted from a five-parent full-diallel cross (Griffing's method 1). F1 plants were tested in a randomized complete-block design with four replicates (plots of 15 pla...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::37281c71f33e31dc6d4a24fd5aad47ef https://doi.org/10.1300/j153v07n01_07 Zobrazit plný text záznamu