Canola seed as affected by swathing time

Non-Peer ReviewedYield, weight, protein content (oil-free meal) and oil content of canola seed increased as seeds developed. Maximum values were obtained between 45-49 days after flowering, when seed moisture was 29-38%. Fatty acid composition of canola seed oil changed during seed development. The proportion of oleic (C18:1) and linolenic (C18:3) acids increased, while that of most other fatty acids decreased, as seeds developed, while Eicosenoic (C20:1) and erucic (C22:1) acids did not show a clear trend. Fatty-acids tended to stabilize by the 49th day after flowering. Early seeding resulted in higher seed yield, larger seeds, lower seed protein content and higher seed oil content, when compared to late seeding

Farm diversification decision-making stages

Ūkio diversifikacijos sprendimo priėmimo modeliavimas yra aktuali mokslinė problema, nes ūkio diversifikacijos sprendimo realizavimo tyrimai nėra dažni. Straipsnio tikslas – pateikti pagrindinius ūkio diversifikacijos sprendimo priėmimo etapus. Teoriniam ūkio diversifikacijos sprendimo priėmimo modeliui patikrinti naudota ekspertų apklausa. Buvo apklausta 14 ekspertų. Nustatyta, kad ūkio diversifikacijos tikslų susiejimas su identifikuotų galimybių išorinėje aplinkoje ar ūkininko ūkyje išnaudojimu, sukuria ūkio vystymo prielaidas. Identifikuoti nauji ūkio diversifikacijos sprendimo alternatyvų formulavimo būdai. Patvirtiti šie ūkio diversifikacijos sprendimo alternatyvų vertinimo kriterijai: sprendimo išorinės įgyvendinamumo galimybės, vidinės įgyvendinamumo galimybės, sinerginiai ryšiai, rizikingumas. Mokymasis turėtų tapti permanentiniu procesu, jis aktualus visuose ūkio diversifikacijos sprendimo priėmimo etapuose.That the farmer's decision to diversify the farm will achieve its objectives, it must be properly designed. Modeling of farm diversification decision–making is a scientific problem, because tests of the farm diversification decision realization are not common in the scientific literature. It is achieved article aim – identified the main farm’s diversification decision–making stages. The expert survey was used to check the theoretical diversification farmer’s decision–making model. 14 experts were interviewed. The study found that the farm diversification objectives connection with identified opportunities in external environment or with farm exploitation creates preconditions for farm development. Expert interviews helped identify new formulation methods of farm diversification solution alternatives. The farm diversification decision alternatives are important to assess according to following criteria: decision outside feasibility, internal feasibility, synergies, riskiness. Learning should become a permanent process

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

Manual of selected methods for glucosinolate analysis

In IDL-1120

Determination of glucosinolate content by gas chromatography of trimethylsilyl derivatives of glucose

In IDL-1120

Determination of total glucosinolate and total indole glucosinolate content of rapeseed / canola using glucose oxidase to measure glucose and ferric nitrate to measure free thiocyanate ion

In IDL-1120

Canola response to growing season climatic conditions

Non-Peer Reviewe

Determination of glucosinolate content by gas liquid chromatography of trimethylsilyl derivatives of desulfated glucosinolates

In IDL-1120

Analysis of glucosinolate in canola and rapeseed : determination of glucosinolates by gas liquid chromatography of the trimethylsilylethers

In IDL-1120

Determination of total glucosinolate content of rapeseed / canola using immobilized myrosinase and glucose oxidase

In IDL-1120