Photosynthetic activity of Camelina sativa plants depending on technological measures of growing under conditions of Precarpathians of Ukraine

Hryhoriv, Ya.Ya.; Butenko, A.O.; Moisiienko, V.V.; Panchуshуn, V.Z.; Stotska, S.V.; Shuvar, I.A.; Kriuchko, Liudmyla; Zakharchenko, E.A.; Novikova, A.V.

doi:10.5281/zenodo.5801099

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“…Most of the oil produced is a raw material for the production of aviation biodiesel. Finland is the main producer of biodiesel from Russian raw materials (aviation biokerosene), the buyer of which is Lauftganza (Putnam, 1993;Frohlich, 2005;Нamayunova, 2017;Lü et al, 2019;Hryhoriv et al, 2021c).…”

Section: Introductionmentioning

confidence: 99%

Structure Components and Yielding Capacity of Camelina Sativa in Ukraine

HRYHORIV¹,

BUTENKO²,

Kozak³

et al. 2022

AgricultForest

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The results of three-year research on the influence of different fertilization levels and foliar fertilization with micronutrients and growth regulators on the formation of structure elements and yielding capacity of Camelina sativa variety Hirsky are presented, their parameters in the process of plant vegetation has been defined. The influence of mineral fertilizers and micro-fertilizers on the elements composing the structure and formation of Camelina sativa seed yield on lowfertile sod-podzolic soils of Precarpathians of Ukraine has been studied. It was found that application of mineral fertilizers increases yielding capacity of Camelina sativa by 56-87%, and together with three additional fertilizations of plants during vegetation periodalmost by 4 times (up to 1.99 t.ha -1 , which is 0.96 t ha -1 more than in the control).Optimal parameters of cultivation technology elements of Camelina sativa, which allow to obtain seed yielding capacity at the level of 1.78-2.04 t.ha -1 , have been determined. On the basis of analysis of relation between yielding capacity and individual indices of Camelina sativa structure it was determined that the closest relation was between yielding capacity and the number of pods (R = 0.967). Therefore, it is the number of pods that allow the most accurate prediction

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Section: Introductionmentioning

confidence: 99%