The mathematical modeling of the lactation curve for dairy traits of the donkey (Equus asinus)

In recent years, an increase in the number of donkeys farmed in Italy as a consequence of the growing demand for donkey milk for direct consumption has been observed. Some research has been carried out on jenny milk composition and on its nutritional properties, whereas milk production features are scarcely described for this species. In this work, the lactation curve shape of donkeys for milk yield and composition was investigated. A total of 453 test-day records for milk yield, fat and protein percentage, and somatic cell count of 62 lactations measured on 46 multiparous jennies of the Ragusano breed were considered. Effects of herd, age, and foaling season were assessed by using a mixed model analysis. Average and individual lactation curves were fitted using the Wood incomplete gamma function, the Cappio-Borlino modified gamma, and a third-order Legendre orthogonal polynomial model. Donkeys foaling between 6- and 10-yr-old had the highest test-day milk yield (about 1.85 kg/d). Donkeys foaling in winter and autumn had a higher daily milk yield compared with those foaling in summer and spring. Less defined results were obtained for composition traits. The general pattern of the donkey lactation curve is similar to the standard shape reported for the main dairy ruminant species, with a peak yield occurring at about 5 wk from parturition. Younger jennies tended to have lower production peaks and higher lactation persistency. Similarly to what is reported for dairy cattle, a large variability in individual patterns has been observed. No differences in goodness of fit have been observed between the models in the case of average lactation curves, whereas orthogonal polynomials were more efficient in fitting individual patterns

Similar shells are not necessarily a reliable guide to phylogeny: Rissoa guerinii Recluz, 1843, and Rissoa lia (Monterosato, 1884) (Caenogastropoda: Rissoidae): a case study

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The Mathematical modeling of the lactation curve for dairy traits of the donkey (<i>Equus asinus</i>)

In recent years, an increase in the number of donkeys farmed in Italy as a consequence of the growing demand for donkey milk for direct consumption has been observed. Some research has been carried out on jenny milk composition and on its nutritional properties, whereas milk production features are scarcely described for this species. In this work, the lactation curve shape of donkeys for milk yield and composition was investigated. A total of 453 test-day records for milk yield, fat and protein percentage, and somatic cell count of 62 lactations measured on 46 multiparous jennies of the Ragusano breed were considered. Effects of herd, age, and foaling season were assessed by using a mixed model analysis. Average and individual lactation curves were fitted using the Wood incomplete gamma function, the Cappio-Borlino modified gamma, and a third-order Legendre orthogonal polynomial model. Donkeys foaling between 6- and 10-yr-old had the highest test-day milk yield (about 1.85 kg/d). Donkeys foaling in winter and autumn had a higher daily milk yield compared with those foaling in summer and spring. Less defined results were obtained for composition traits. The general pattern of the donkey lactation curve is similar to the standard shape reported for the main dairy ruminant species, with a peak yield occurring at about 5 wk from parturition. Younger jennies tended to have lower production peaks and higher lactation persistency. Similarly to what is reported for dairy cattle, a large variability in individual patterns has been observed. No differences in goodness of fit have been observed between the models in the case of average lactation curves, whereas orthogonal polynomials were more efficient in fitting individual patterns

Comparison of Water-focused Life Cycle Assessment and Water Footprint Assessment: The case of an Italian wine

In recent decades, the debate on how to implement and measure sustainability in food production gained increasing importance and interest for agriculture. In the wine sector, producers are increasingly pursuing sustainable practices, including measures for water preservation from degradation and overuse. But methodologies for assessing and communicating the impacts on water resources need to be understood in detail to guide the selection of the most appropriate management practices, support environmental labelling and promote environmental-friendly products to consumers. This work focuses on the impacts on water resources associated with the production of Italian wine by comparing two methodologies: the Water-focused Life Cycle Assessment and the \u201cWater\u201d indicator included in the Italian \u201cVIVA\u201d certification framework, which is based on the Water Footprint Assessment. The two methodologies address the impact on freshwater consumption and degradation from a life cycle perspective. VIVA is based on a water balance method that reflects a volumetric measure of water consumption, while the LCA-based approach investigates both the freshwater consumption and depletion using different impact indicators. The study goal is to compare the two methodologies to understand how their outcomes can support and improve the management of water-related issues in wine production. One main conclusion is that the WATER indicator within VIVA framework can provide more precise recommendations for the optimal management of water use during the vineyard phase, while LCA approach highlights impact hotspots related to both direct and indirect use of water resources (e.g., it points out the relevant contribution of the bottling stage to different impact indicators). The comparative application of both methodologies can provide useful insights into the water-related impacts of different wine production processes and stages and support a comprehensive assessment of the best management practices, unless the differences in the methodological approaches and goals are well understood by assessors

The Role of Corporate Social Responsibility in the Wine Industry: The Case Study of Veneto and Friuli Venezia Giulia

This study aimed to investigate the awareness of Corporate Social Responsibility (CSR) among wineries located in the Italian regions of Veneto and Friuli Venezia Giulia (FVG) (1), (2) the obstacles (3) and market drivers of its implementation (4), the practices and range of actions that are concretely implemented in the field of CSR (5), the implications that this management approach can have on company performance (6), and the communication tools used. The methodology adopted is based on a qualitative approach integrated with quantitative measures. In total, 28 wineries participated in the study. The results show that all of the wineries were aware of the importance of implementing CSR, although they mainly refer to environmental issues. Sponsorship in fair trade activities is considered the most relevant market driver, while Italian consumers are generally perceived as not particularly interested in sustainable wine production. The practices implemented are mainly focused on reducing environmental impact. Interesting insights have emerged from this study, such as an unusual disparity between theoretical knowledge and practical implementation of socially responsible activities, a tendency to adapt the entrepreneurial style towards CSR, as well as a fundamental willingness to implement good practices that go beyond the legal requirements currently in force

Evaluation of Two Different Preparation Protocols for MALDI-TOF MS Nontuberculous Mycobacteria Identification from Liquid and Solid Media

Nontuberculous mycobacteria (NTM) identification is essential for establishing the relevance of the isolate and for appropriate antimicrobial therapy. Traditionally, NTM identification is performed by using Line Probe Assays (LPA), a costly and time-consuming technique requiring trained personnel. MALDI-TOF MS is a promising tool for NTM identification, and its use is rapidly growing. We evaluated the newly introduced MBT Mycobacteria kit (MBT) and the MycoEx preparation protocol (Bruker Daltonics, Germany) for NTM MALDI-TOF MS identification using LPA results as a reference. Fifty NTM grown on 7H11 agar and MGIT broth were analyzed with both protocols using the Bruker Microflex® LT MALDI-TOF MS (Bruker Daltonics) instrument. MBT and MycoEx provided identification results in 97.0% and 95.0% of the cases, respectively. With both protocols, 100% of the provided results agreed with LPA with no registered mismatch. MBT achieved an elevated number of highly probable identifications (88.0% vs. 83.0%) and a higher reproducibility rate of correct results (86.6% vs. 75.8%) in comparison to MycoEx. This study provides results about MBT performance for liquid and solid media, underlining the strengths and weakness under different conditions. Our results suggest that MALDI-TOF MS could provide a great advantage for timely and cost-saving NTM identification with potential implications for patient outcome

Use of multiple indicators to compare sustainability performance of organic vs conventional vineyard management

The wine sector is paying more attention to sustainable wine production practices, but this topic is highly debated because organic viticulture aims to a reduction of environmental impacts, while conventional viticulture ensures an increase of yield. This work provides an economic and environmental comparison using different indicators whereas no previous studies on viticulture have faced on both aspects of sustainability. Two distinct vineyards within the same case study farm were considered, where conventional and organic viticulture practices were applied for 5 years. For each type of production, we calculated the economic benefit and environmental indicators such as the Water Footprint, Carbon Footprint, and an indicator of environmental performance associated with the vineyard phase (\u201cVineyard Management\u201d or \u201cVigneto\u201d indicator part of the Italian VIVA certification framework). This latter considers six sub-indicators investigating pesticides management, fertilizers management, organic matter content, soil compaction, soil erosion, and landscape quality. The multi criteria approach is a novel framework assessing sustainability on vineyard management using environmental indicators from VIVA calculator and the economic aspect. Main results showed that organic management in viticulture can be applied without having economic losses and with the benefit of better preserving the natural capital

Prevalence, Type, and Molecular Spectrum of NF1 Mutations in Patients with Neurofibromatosis Type 1 and Congenital Heart Disease

The aim of this study was to assess the prevalence and type of congenital heart disease (CHD) and the associated mutation spectrum in a large series of patients with neurofibromatosis type 1 (NF1), and correlate the mutation type with the presence and subgroups of cardiac defects. The study cohort included 493 individuals with molecularly confirmed diagnosis of NF1 for whom cardiac evaluation data were available. CHD was reported in 62/493 (12.6%) patients. Among these patients, 23/62 (37.1%) had pulmonary valve stenosis/dysplasia, 20/62 (32.3%) had mitral valve anomalies, and 10/62 (16.1%) had septal defects. Other defects occurred as rare events. In this NF1 subcohort, three subjects carried a whole-gene deletion, while 59 were heterozygous for an intragenic mutation. A significantly increased prevalence of non-truncating intragenic mutations was either observed in individuals with CHD (22/59, 37.3%) or with pulmonary valve stenosis (13/20, 65.0%), when compared to individuals without CHD (89/420, 21.2%) (p = 0.038) or pulmonary valve stenosis (98/459, 21.4%) (p = 0.002). Similarly, patients with non-truncating NF1 mutations displayed two- and six-fold higher risk of developing CHD (odds ratio = 1.9713, 95% confidence interval (CI): 1.1162-3.4814, p = 0.0193) and pulmonary valve stenosis (odds ratio = 6.8411, 95% CI: 2.6574-17.6114, p = 0.0001), respectively. Noteworthy, all but one patient (19/20, 95.0%) with pulmonary valve stenosis, and 18/35 (51.4%) patients with other CHDs displayed Noonan syndrome (NS)-like features. Present data confirm the significant frequency of CHD in patients with NF1, and provide further evidence for a higher than expected prevalence of NF1 in-frame variants and NS-like characteristics in NF1 patients with CHD, particularly with pulmonary valve stenosis