The use of sequential yield component analysis (SYCA) in studies on determination of fruit yield variability in blackcurrant (Ribes nigrum L.)
Wiesław Mądry
wieslaw_madry@sggw.edu.plKatedra Statystyki Matematycznej i Doświadczalnictwa SGGW, Warszawa (Poland)
Marcin Kozak
Katedra Statystyki Matematycznej i Doświadczalnictwa SGGW, Warszawa (Poland)
Stanisław Pluta
Zakład Hodowli Roślin Sadowniczych, Instytut Sadownictwa i Kwiaciarstwa, Skierniewice (Poland)
Edward Żurawicz
Zakład Hodowli Roślin Sadowniczych, Instytut Sadownictwa i Kwiaciarstwa, Skierniewice (Poland)
Abstract
The aim of the paper was to present an application and usefulness of sequential yield component analysis (SYCA) using an example on determination of fruit yield variability among blackcurrant plants. The following plant determinants of yield were considered (in the ontogenetic order): average number of one-year-old shoots, average length of one-year-old shoots, flowering time, spring frost damage of flowers and average weight of 100 berries. It was proved that sequential yield component analysis is a useful method in studies of relationships between fruit yield per plant of blackcurrant and its determinants which develop in an ontogenetic order. This method could be more suitable in such cases than the linear multiple regression analysis and path analysis. Similar conclusions could be given for other crops, both agricultural and horticultural ones. Description of blackcurrant plant fruit yield variability by its determinants using the proposed method could be important for crop physiology and for breeding directed towards fruit yield.
Keywords:
Ribes nigrum L., SYCA, blackcurrant, correlation coefficients, diallel crosses, fruit yield variability, determinants of yield, sequential yield component analysisReferences
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Authors
Wiesław Mądrywieslaw_madry@sggw.edu.pl
Katedra Statystyki Matematycznej i Doświadczalnictwa SGGW, Warszawa Poland
Authors
Marcin KozakKatedra Statystyki Matematycznej i Doświadczalnictwa SGGW, Warszawa Poland
Authors
Stanisław PlutaZakład Hodowli Roślin Sadowniczych, Instytut Sadownictwa i Kwiaciarstwa, Skierniewice Poland
Authors
Edward ŻurawiczZakład Hodowli Roślin Sadowniczych, Instytut Sadownictwa i Kwiaciarstwa, Skierniewice Poland
Statistics
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