Wpływ zabiegów agrotechnicznych na zawartość wybranych mikropierwiastków w ziarnie owsa nagoziarnistego (Avena sativa ver. nuda)

The components crucial for fulfilling plant nutrient needs are, beside macroelements, also microelements. Microelement content in plant raw materials is often modified by various agronomic measures, therefore it does not always meet the requirements for this element. The research was conducted to determine the effect of agronomic factors on the content of zinc, copper, iron, cobalt and manganese in oat grain. Three field experiments were set up acc. to fractional factorial designs (25–1 and 34–1) in two localities (Wierzbica and Prusy) in 2003. Akt cv. revealed a lower content of zinc, copper, iron and manganese in comparison with STH 7000 and STH 4770 strains. Microelement concentrations in oat grain were determined by the selection of oat cultivar/strain and growth regulator dose. Zinc content in oat grain fulfilled the requirements for plants designed for human consumption and animal feeds. Optimal iron content but deficient contents of manganese, copper and cobalt were registered in oat grain treated as fodder.Składnikami niezbędnymi do pokrycia potrzeb pokarmowych roślin, obok makroskładników, są również mikroelementy. Zawartość mikroelementów w surowcach roślinach jest często modyfikowana różnymi zabiegami agrotechnicznymi, dlatego też nie zawsze odpowiada zapotrzebowaniu na ten składnik. Celem przeprowadzonych badań było określenie wpływu czynników agrotechnicznych na zawartość cynku, miedzi, żelaza, kobaltu i manganu w ziarnie owsa. Trzy eksperymenty polowe założono według planów frakcyjnych (25–1 i 34–1) w dwóch miejscowościach (Wierzbica i Prusy) w 2003 r. Odmiana Akt cechowała się niższą zawartością cynku, miedzi, żelaza i manganu w porównaniu do rodów STH 7000 i STH 4770. Zawartość mikropierwiastków w ziarnie owsa była determinowana doborem odmiany/rodu owsa oraz dawką regulatora wzrostu. Zawartość cynku w ziarnie owsa spełniała wymogi stawiane roślinom przeznaczonym na cele konsumpcyjne i paszowe. Stwierdzono optymalną zawartość żelaza, a niedoborową manganu, miedzi i kobaltu w ziarnie owsa traktowanego jako pasza

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity

The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. The Boolean features selected by these logistic models were combined into an Integrated PolyGenic Score that offers a synthetic and interpretable index for describing the contribution of host genetics in COVID-19 severity, as demonstrated through testing in several independent cohorts. Selected features belong to ultra-rare, rare, low-frequency, and common variants, including those in linkage disequilibrium with known GWAS loci. Noteworthily, around one quarter of the selected genes are sex-specific. Pathway analysis of the selected genes associated with COVID-19 severity reflected the multi-organ nature of the disease. The proposed model might provide useful information for developing diagnostics and therapeutics, while also being able to guide bedside disease management