Modeling Mastitis Risk Management Effects on Dairy Milk Yield and Global Warming Potential.

Mastitis represents a significant challenge for dairy farming, resulting in economic losses and environmental impacts. This study assesses a model for the evaluation of the impact of mastitis on dairy productivity and Global Warming Potential (GWP) under diverse management scenarios. The model considers a range of factors, including bedding materials, milking systems, health surveillance, and overcrowding.

Integrated assessment of water footprint in nonirrigated vineyards.

The topic of sustainable water management has become of paramount importance at a global level, especially when considering the high-amount of water used in agriculture, which is a threat to water resource balance. Focused on 38 inventories of nonirrigated vineyard management in the Franciacorta wine-growing region in Italy, this study aims to understand how agronomic practices impact water resources. The integrated statistical approach, based on generalized linear models, reveals how context variables influence different water footprint indicators, such as water scarcity, acidification and freshwater ecotoxicity.

Gene therapy strategies for RAG1 deficiency: Challenges and breakthroughs.

Mutations in the recombination activating genes (RAG) cause various forms of immune deficiency. Hematopoietic stem cell transplantation (HSCT) is the only cure for patients with severe manifestations of RAG deficiency; however, outcomes are suboptimal with mismatched donors. Gene therapy aims to correct autologous hematopoietic stem and progenitor cells (HSPC) and is emerging as an alternative to allogeneic HSCT.

Engineering spacer specificity of the Cre/loxP system.

Translational research on the Cre/loxP recombination system focuses on enhancing its specificity by modifying Cre/DNA interactions. Despite extensive efforts, the exact mechanisms governing Cre discrimination between substrates remains elusive. Cre recognizes 13 bp inverted repeats, initiating recombination in the 8 bp spacer region.

A model for predicting the phenology of Philaenus spumarius.

The design and implementation of Philaenus spumarius control strategies can take advantage of properly calibrated models describing and predicting the phenology of vector populations in agroecosystems. We developed a temperature-driven physiological-based model based on the system of Kolmogorov partial differential equations to predict the phenological dynamics of P. spumarius.