Publications by authors named "Lilia Arenas de Moreno"

Hierarchical cluster (HCA) and canonical correlation (CCA) analyses were employed to explore the multivariate relationships among chemical components (proximate, mineral and lipidic components) of lean beef (LDL) and selected carcass traits of cattle fattened on pasture under tropical conditions (bulls, = 60; steers, = 60; from 2.5 to 4.0 years of age, estimated by dentition).

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Consumer surveys were conducted in the Western, Central, and Eastern regions of Venezuela to determine buying expectations, motivations, needs, perceptions, and preferences of beef consumers, and their acceptance of domestic (and foreign) beef, as affected by different intrinsic and extrinsic factors. Data ( = 693) were gathered by face-to-face interviews on the way out of fresh markets, butcher stores, supermarkets, and, in some cases, at home by using a 45-question structured questionnaire. Responses were subjected to factorial analysis of correspondence (FA) and hierarchical cluster analysis.

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Male (n=66) water buffalo (Buffalo) and Brahman-influenced cattle (Brahman) were born, raised, weaned, fattened on grazing savannah and harvested at two different ages (19 and 24months) to compare lipid composition of the longissimus thoracis muscle. Half of the animals were castrated at seven months of age (MOA) to examine the castration effects. At 24 MOA Brahman steers showed the highest content of total lipids (P<0.

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A total of 145 beef carcasses derived from cattle produced under tropical conditions in different regions of Venezuela were graded by the current grading system. Rib (longissimus) samples were excised, trimmed to zero fat cover and subjected to spectrophotometric analyses to examine the variation in ash, macro- and micro-mineral contents, according to the beef carcass grade. The analysis of variance indicated that the Venezuelan carcass grade did not affect significantly the ash or individual mineral content of the raw longissimus muscle; only the Na content tended to decrease (P < 0.

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