Composition and antioxidant properties of sixteen pecan [Carya illinoinensis (Wangenh) K. Koch] cultivars grown simultaneously in a single experimental orchard in Uruguay were evaluated to characterize their nutritional properties and nutraceutical potential. The percentage of oil, moisture, ash, minerals, and proteins were determined and also the fatty acid profile. Total phenolic compounds [18–41 mg gallic acid equivalents (GAEs)/g], condensed tannin [2–12 mg catechin equivalents (CEs)/g], and tocopherols (110–163 μg/g) contents were estimated in nut kernels. Total phenolic compounds (32–117 mg GAE/g), condensed tannins (130–357 mg CE/g), and total anthocyanins (1–3 mg 3-glucoside cyanidin/g) were also determined for pecan shells. The antioxidant activity in shells [57.15–578.88 μmol Trolox equivalents (TEs)/g] was 5 times higher compared with the kernels (23.15–156.60 μmol TEs/g) measured with hydrophilic ORAC. Bioactive compounds concentrations present statistically significant genetic variability between cultivars studied (p < 0.05). The presence of phenolic compounds was related with high-antioxidant capacity in kernels and shells, and a strong correlation between content of total phenolic compounds and condensed tannins in pecan shells was found. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) show association between cultivars and the observed variables. The nutritional profile in the different cultivars showed the trends described in other countries, but this work shows some significant differences that could be attributed to the specific edaphoclimatic conditions of cultivation in Uruguay.
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Data has been identified as a valuable input to boost enterprises. Nowadays, with the vast quantity of data available, a favorable scenario is established to exploit it, but crucial challenges must be addressed, highlighting its sharing and governance. In this context, the data space ecosystem is the cornerstone which enables companies to share and use valuable data assets. However, appropriate Data Governance techniques must be established to benefit from such opportunity considering two levels: internal to the organization and at the level of sharing between organizations. At a technological level, to reach this scenario, companies need to design and provision adequate data platforms to deal with Data Governance in order to cover the data life-cycle. In this chapter, we will address questions such as: How to share data and extract value while maintaining sovereignty over data, confidentiality, and fulfilling the applicable policies and regulations? How does the Big Data paradigm and its analytical approach affect correct Data Governance? What are the key characteristics of the data platforms to be covered to ensure the correct management of data without losing value? This chapter explores these challenges providing an overview of state-of-the-art techniques.
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