Topic
Rapeseed
About: Rapeseed is a research topic. Over the lifetime, 2945 publications have been published within this topic receiving 51790 citations. The topic is also known as: Brassica napus & rape.
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TL;DR: As cardiolipin is localized in the inner membrane of mitochondria and sphingomyelin in plasma and microsomal membranes, the acyl-moiety alterations of both phospholipids might be correlated to the pathological lesions of rat heart after a long duration of rapeseed oil feeding.
Abstract: The influence of long duration rapeseed oil feeding with high or low levels of erucic acid has been investigated on rat heart phospholipids. The rats treated for 20 wk with rapeseed oil containing 46.2% erucic acid showed a twofold increase in the sphingomyelin content of the heart. Treatment with primor rapeseed oil (3.7% erucic acid) for 20 wk did not modify phospholipid composition of rat heart. The fatty acid patterns of phosphatidylethanolamine and phosphatidylcholine were slightly influenced by the high erucic rapeseed oil; eicosenoic acid was incorporated preferentially into position one, but erucic acid showed a random distribution in both. After high erucic rapeseed oil feeding, 22∶1 was incorporated into cardiolipin (5.6%) and sphingomyelin (10.5%). The incorporation of 22∶1 into sphingomyelin was associated with an increase of the percentage of 24∶1 (14.6%) and a decrease of saturated long chain fatty acid (22∶0, 24∶0) percentages. Primor rapeseed oil caused a slight increase of 24∶1 and a decrease of 22∶0 and 24∶0 in rat heart sphingomyelin. As cardiolipin is localized in the inner membrane of mitochondria and sphingomyelin in plasma and microsomal membranes, the acyl-moiety alterations of both phospholipids might be correlated to the pathological lesions of rat heart after a long duration of rapeseed oil feeding.
27 citations
TL;DR: A good correlation between the polymerized triglyceride content or viscosity and riboflavin production in the culture of A. gossypii using rapeseed oil as the sole carbon source was found.
27 citations
01 Jan 2007
TL;DR: The strongest direct effects to oil yield/ha was estimated for seed yield/ ha, whereas other investigated traits showed low or no effect to oilield/ha.
Abstract: The objective of the investigation was to estimate interrelationship among rapeseed quantitative traits using simple regression coeffi cients, as well as to assess direct and indirect effects of specifi c traits to oil yield/ha via path analysis. Three year investigation was carried out including thirty rapeseed genotypes. The following traits were investigated: number of pods per plant, oil content, 1000 seed weight, pre-anthesis duration, post-anthesis duration, seed yield/ha and oil yield/ha. Almost complete correlation was determined between seed yield/ha and oil yield/ha and strong between oil content and oil yield/ha. The strongest direct effects to oil yield/ha was estimated for seed yield/ha, whereas other investigated traits showed low or no effect to oil yield/ha.
27 citations
TL;DR: In this paper, a combination of quantitative and qualitative data were used in order to build three independent prediction models, on the basis of which yield simulations were carried out, and the most important independent variable influencing the final rapeseed yield was indicated, and for all the analyzed models it was the kind of sowing date in the previous year.
Abstract: Rapeseed is considered as one of the most important oilseed crops in the world. Vegetable oil obtained from rapeseed is a valuable raw material for the food and energy industry as well as for industrial applications. Compared to other vegetable oils, it has a lower concentration of saturated fatty acids (5%–10%), a higher content of monounsaturated fatty acids (44%–75%), and a moderate content of alpha-linolenic acid (9%–13%). Overall, rapeseed is grown in all continents on an industrial scale, so there is a growing need to predict yield before harvest. A combination of quantitative and qualitative data were used in this work in order to build three independent prediction models, on the basis of which yield simulations were carried out. Empirical data collected during field tests carried out in 2008–2015 were used to build three models, QQWR15_4, QQWR31_5, and QQWR30_6. Each model was composed of a different number of independent variables, ranging from 21 to 27. The lowest MAPE (mean absolute percentage error) yield prediction error corresponded to QQWR31_5, it was 6.88%, and the coefficient of determination R2 was 0.69. As a result of the sensitivity analysis of the neural network, the most important independent variable influencing the final rapeseed yield was indicated, and for all the analyzed models it was “The kind of sowing date in the previous year” (KSD_PY).
27 citations