Experiences Accessing Health and Social Services during and after Natural Disasters among People Who Use Drugs in Houston, Texas.

People who use drugs (PWUD) disproportionately experience health-related and social vulnerabilities, which may affect service needs and access during and after natural disasters. We conducted qualitative interviews with = 18 PWUD recruited via a syringe services program in Houston, Texas. We assessed their health and social service needs, as well as related service access experiences, during and after natural disasters using a combined inductive-deductive approach.

Combined sensory, volatilome and transcriptome analyses identify a limonene terpene synthase as a major contributor to the characteristic aroma of a Coffea arabica L. specialty coffee.

Background: The fruity aromatic bouquet of coffee has attracted recent interest to differentiate high value market produce as specialty coffee. Although the volatile compounds present in green and roasted coffee beans have been extensively described, no study has yet linked varietal molecular differences to the greater abundance of specific substances and support the aroma specificity of specialty coffees.

Results: This study compared four Arabica genotypes including one, Geisha Especial, suggested to generate specialty coffee.

Unlocking the Aromatic Potential of Native Coffee Yeasts: From Isolation to a Biovolatile Platform.

Postharvest processing of coffee has been shown to impact cup quality. Yeasts are known to modulate the sensory traits of the final cup of coffee after controlled fermentation at the farm. Here, we enumerated native coffee yeasts in a Nicaraguan farm during dry and semidry postharvest processing of Arabica and Robusta beans.

A comparative analysis of genomic and phenomic predictions of growth-related traits in 3-way coffee hybrids.

Genomic prediction has revolutionized crop breeding despite remaining issues of transferability of models to unseen environmental conditions and environments. Usage of endophenotypes rather than genomic markers leads to the possibility of building phenomic prediction models that can account, in part, for this challenge. Here, we compare and contrast genomic prediction and phenomic prediction models for 3 growth-related traits, namely, leaf count, tree height, and trunk diameter, from 2 coffee 3-way hybrid populations exposed to a series of treatment-inducing environmental conditions.

5-CQA and Mangiferin, Two Leaf Biomarkers of Adaptation to Full Sun or Shade Conditions in L.

Phenolic compounds are involved in plant response to environmental conditions and are highly present in leaves of L., originally an understory shrub. To increase knowledge of leaf phenolic compounds and their patterns in adaptation to light intensity, mature leaves of Ethiopian wild accessions, American pure lines and their relative F1 hybrids were sampled in full sun or under 50% shade field plots in Mexico and at two contrasting elevations in Nicaragua and Colombia.