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      Óptimos técnicos y económicos en cortes de carne de cerdo en dos regiones de México Translated title: Technical and economic optimums in pork meat cuts in two regions of Mexico


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          El objetivo de este trabajo fue determinar el peso óptimo de venta de la canal de cerdo (S. scrofa ssp), en función del rendimiento en cortes primarios, secundarios y terciarios. La información se obtuvo de febrero a junio de 2012 y provino de 50 cerdos (PV 98,6 ± 7,2 kg, edad 150 ± 5 d), sacrificados en el Rastro Municipal, distribuidos en diez carnicerías, seleccionadas por intención, localizadas en dos regiones del Estado de México; cinco de ellas en Valle de Bravo y cinco en Tejupilco, ambos municipios limítrofes del Estado de México. Los datos se procesaron mediante tres modelos estadísticos no lineales y se ajustaron a funciones de producción con rendimientos decrecientes. Para el modelo de cortes primarios, los niveles óptimos técnicos (NOT) y niveles óptimos económicos (NOE) se obtuvieron con un peso en canal de 94,47 y 90,96 kg, con una ganancia de US\(162,1 y US\) 173,0. En cortes secundarios los NOT y NOE se alcanzaron en 85,4 y 85,3 kg de peso de la canal, con una ganancia de US\(236,7 y US\) 236,9. Con base en el modelo de cortes terciarios, se logró un NOT y NOE de 82,38 y 82,26 kg, equivalente a una ganancia de US\(217,6 y US\) 217,9. Un mayor peso de la canal de cerdo no necesariamente implicó una mejor ganancia en dinero, la cual se percibe en la venta de cortes secundarios, con un menor peso de la canal.

          Translated abstract

          The aim of this study was to determine the optimal selling weight per pig carcass (S. scrofa ssp), based on performance in primary, secondary and tertiary cuts. The field data was obtained from February to June 2012 and came from 10 butcheries selected by intention. These butcheries located in the state of Mexico, and more specifically in Valle de Bravo (5) and Tejupilco (5), and slaughtered 50 pigs (98,6 ± 7,2 kg PV, age 150 ± 5 d) each one, at the Municipal Abattoir in each municipality. The data were processed using three univariate nonlinear statistical models (for dressing cuts vs. primary, secondary and tertiary), adjusted to production functions with diminishing marginal returns. The results indicated that for the model of primal cuts, the technical optimum level (NOT) and the optimum economical level (NOE) were obtained with a carcass weight of 94,47 kg and 90,96 kg, respectively, with corresponding monetary gains of US\(162,1 and US\) 173,0. For the model of minor cuts, the NOT and NOE were reached at 85,40 and 85,36 kg of carcass weight, and the corresponding monetary gains were US\(236,7 and US\) 236,9. Based on the model of tertiary cuts the NOT and NOE were 82,38 and 82,26 kg, equivalent to a profit of US\(217,6 and US\) 217,9. We conclude that the sale of carcasses at maximum weight did not necessarily lead to the most profit, and that the most profit was actually derived from the sale of minor cuts.

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          Técnicas de muestreo

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            Introducción a la econometría. Un enfoque moderno

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              Patterns of accelerometer-derived estimates of inactivity in middle-age women.

              The study's purpose was to characterize accelerometer-derived estimates of physical inactivity collected during five consecutive weeks in middle-age women. Data were obtained from 63 participants (95.5%) enrolled in the Evaluation of Physical Activity Measures in Middle-Age Women Study. Inactive time (min · d(-1)) was estimated as the sum of activity counts <100, and inactive-to-active transitions were defined as an interruption in which a period of inactivity was immediately followed by a minute or more above 100 counts. A repeated-measures ANOVA using PROC MIXED (SAS/STAT software, v. 9.2) was used to describe hourly, daily, and weekly variation in estimates of physical inactivity. Participants were 52.7 ± 5.5 yr, 85.7% non-Hispanic white, and 63.5% postmenopausal, with a body mass index of 26.7 ± 5.1 kg · m(-2). Inactive time gradually increased as the day continued, particularly on weekend days. When compared with weekdays, average inactive time was lower on Saturday and Sunday (all P < 0.01 except for Saturday vs Monday, P < 0.10); Saturdays were not significantly different from Sundays. Breaks in inactive time were significantly lower on Sunday when compared with weekdays and Saturday (all P < 0.05), and fewer breaks were noted on Saturday when compared with Wednesday and Friday (both P < 0.01). After adjustment for total wear time or inactive time, most day-to-day differences were attenuated. Week-by-week differences in physical inactivity estimates were also not statistically significant. The results of this study suggest that inactive time increases as the day continues and that daily physical inactivity estimates are more stable after 1) adjustment for wear time or 2) when averaged over the week. Researchers should carefully consider the intended application of physical inactivity estimates before data collection and processing, analysis, and final data reporting.

                Author and article information

                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Agronomía Mesoamericana
                Agron. Mesoam
                Universidad de Costa Rica. Programa Cooperativo Centroamericano para el Mejoramiento Cultivos y Animales (San Pedro )
                June 2014
                : 25
                : 1
                : 153-160
                [1 ] Universidad Autónoma del Estado de México
                [2 ] Universidad Autónoma de Chihuahua México
                [3 ] Instituto Tecnológico de Celaya México



                SciELO Costa Rica

                Self URI (journal page): http://www.scielo.sa.cr/scielo.php?script=sci_serial&pid=1659-1321&lng=en
                Agricultural Economics & Policy
                Agriculture, Multidisciplinary

                General agriculture,Agricultural economics & Resource management,Horticulture
                production function,función de producción,carnicerías,rendimiento de canales,ganancia monetaria,butcheries,carcass performance,monetary gain


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