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Chia (Salvia hispanica) is native to Mexico and Guatemala, but today it is also cultivated in the Americas, Argentina, Australia, Bolivia, Columbia, Europe and Peru. Chia seeds are rich in oil (25% to 39%) and protein (16% to 26%). Chia seeds are also a good source of ω-3 acids, ω-6 acids, tocopherols, phytosterols and phenolic compounds. In the last few years, chia seeds and their derived ingredients have been studied as functional foods. In this paper, the processes applied for chia oil extraction, its composition and attributes, as well as the valorization of its by-product (partially defatted chia cake or defatted meal) are reviewed. Valorization of the chia cake or meal includes production of protein ingredients (concentrate and isolate), extraction of phenolic compounds, supplementation of breads, cookies, muffins, pasta and meat products, and use as a fat replacer and stabilizer in the production of low-fat salad dressing and ice cream. Chia gum or mucilage has also been extracted from chia cake and used as ingredients in the formulation of low fat vegan mayonnaise and edible biodegradable films. Some research avenues for future studies are also presented. [ABSTRACT FROM AUTHOR]

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Copyright of Global Science & Technology is the property of Global Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Nucleus (16786602) is the property of Fundacao Educacional de Ituverava and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Nativa is the property of Revista Nativa and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Viticulture is expanding in the state of Espírito Santo, Brazil. Weed management is essential for the crop, so knowing the floristic composition of weeds in the vineyards makes this practice sustainable. This study aimed to evaluate the floristic composition of weed populations in grape crops in two seasons, considering different altitudes. The experiment was performed in four properties located in Santa Teresa, ES, Brazil, two of which were at altitudes above 500 m of and two below 500 m, in the winter (2018) and summer (2019) seasons. Weeds were identified with the square inventory method. The phytosociological analysis was based on absolute and relative parameters of frequency, density, dominance, importance value index, and relevance index, besides the diversity, evenness, and similarity indices. Fifty species, 41 genera, and 19 families were identified. The most representative families regarding the number of species were Asteraceae, Poaceae, and Malvaceae. In properties with higher altitudes, the species with the highest IVI was Pilea microphylla (L.) Liebm., in both seasons. In properties with lower altitudes, the highest IVI values were found for Malvastrum coromandelianum L. in the winter and Commelina benghalensis and Portulaca oleracea L. in the summer. The areas below 500 m of altitude showed the highest diversity and evenness indices. The proximity between the areas in both regions contributed to the increased similarity index. Altitude and time of the year contribute to the composition of the infesting community. [ABSTRACT FROM AUTHOR]