Correlation and sequential path analysis of oil yield and related characteristics in camelina under seasonal variations

The objectives of the current study were to determine usefulness sequential path analysis in camelina obtain information about relationship between yield and components evaluate their relative importance oil under summer winter cultivation. A split-plot design, with two varieties as main plot four sowing times subplot, was carried out over growing seasons (2017–2019) Samsun, Turkey. Sequential revealed that, first-order predictors, grain content displayed most significant positive direct effects on both second-order variables variable that seed number per pod explained approximately 90% variation cultivation branch 67% These results indicated yield, a predictor had different pathways affect seasons. higher magnitude compared this selecting for can be done indirectly using plants lower season. Moreover, only trait negative effect season, indicating should selected yield. Different environmental factors, including seasonal study, found key factor improving and, hence, considered criteria indices breeding programs future.