Ensiling Safflower (\u3ci\u3eCarthamus Tinctorius\u3c/i\u3e) As an Alternative Winter Forage Crop in Israel

Israel is a subtropical country in which the rainy season is in winter, with frequent droughts. Wheat is the major winter forage crop in Israel, along with legumes as rotation crops. Alternative forage crops are sought that would be suitable for semi-arid areas. Safflower (Carthamus tinctorius) is usually grown as a source for oil and pigments but spineless cultivars could be used as fodder. Leshem et al. (2001) reported DM yields up to 22 t/ha and high DM digestibility when used for heifers. When safflower silage substituted maize and wheat silage in the rations of lactating cows, milk yields and milk fat were similar in the two groups (Landau et al., 2004). Safflower was preserved satisfactorily by ensiling in mini-silos (Weinberg et al., 2002). However, on some farm scale trials, safflower silages spoiled upon aerobic exposure. The objective of the current experiments was to further study the ensiling characteristics of safflower

Environment dominates over host genetics in shaping human gut microbiota

Human gut microbiome composition is shaped by multiple factors but the relative contribution of host genetics remains elusive. Here we examine genotype and microbiome data from 1,046 healthy individuals with several distinct ancestral origins who share a relatively common environment, and demonstrate that the gut microbiome is not significantly associated with genetic ancestry, and that host genetics have a minor role in determining microbiome composition. We show that, by contrast, there are significant similarities in the compositions of the microbiomes of genetically unrelated individuals who share a household, and that over 20% of the inter-person microbiome variability is associated with factors related to diet, drugs and anthropometric measurements. We further demonstrate that microbiome data significantly improve the prediction accuracy for many human traits, such as glucose and obesity measures, compared to models that use only host genetic and environmental data. These results suggest that microbiome alterations aimed at improving clinical outcomes may be carried out across diverse genetic backgrounds