Page 3 of articles about meat in Abstracts

Fermented mixed feed in finishing pigs improves performance, carcass, and meat quality.

Betaine supplementation may improve pork quality in growing-finishing pigs.

Neonatal care treatment may be useful to reduce mortality in low birth weight piglets and could affect carcass fatness and meat quality.

Although progeny body weights were typically less from first parity dams through 45 days of age, these progeny were similar or heavier at 100 and 145 days of age in contrast to progeny from other parities.

Combined supplementation of antioxidant compounds can change the oxidative status of pigs and, meat lipid stability.

A reduction of dietary crude protein in finishing pigs during summer conditions does not affect performance and carcass quality.

Inulin supplementation has a beneficial effect on growth performance and carcass traits in growing-finishing pigs.

Reducing dietary crude protein in a balanced diet with synthetic amino acids in finishing pigs can improve nitrogen utilization, meat quality and flavor.

Citrus extract supplementation in growing-finishing pigs may improve meat quality and nutritional value of pork products.

Maternal methyl donor supplementation affects growth performance, carcass traits, and meat quality of the offspring.

Dietary Eucommia ulmoides leaf extract supplementation may affect lipid metabolism and reduce carcass fat deposition in growing-finishing pigs.

High-dosing A. oryzae phytase supplementation may have a beneficial impact on digestibility, performance and carcass traits in growing-finishing pigs.

The addition of high oleic soybean oil to growing-finishing pigs' diet improves growth performance and backfat thickness.

Carcass, meat quality, and oxidative stability are dependent on dietary Zn level in growing-finishing pigs.

Findings of the present study support an adaptive response of the Iberian pig to high temperatures and show the high Iberian meat quality even under adverse climate situations.

The choice of a feature extraction strategy is a trade-off between the amount of chemical information that is preserved, and the computational effort required to generate the data models.