Prediction of rabbit meat and bone weight using measurements and sample cuts

Regression equations predicting dissectable muscle weight in rabbits from external measurements were presented. Bone weight and weight of muscle groups were also carcass predicted. Predictive capacity of external measurements, retail cuts and muscle groups on total muscle, percent muscle, total bone and muscle to bone ratio were studied separately. Measurements on dissected retail cuts should be included in ordcr to obtain good equations for prediction of percent muscle in the carcass. Equations for predicting the muscle to bone ratio using external mcasurcments and data from the dissection of one hind leg were suggested. The equations had generally high coefficients of determination. The coefficient of determination for prediction of dissectable muscle was 0.91, and for percent muscle in the carcass 0.79.

Estudio de algunas características de las plantas en variedad de peral y su relación con la incidencia de la psila (Cacopsylla Pyri (L.) Hemiptera: Psyllidae)

Se estudian algunas de las características varietales del peral que pueden influir sobre la instalación y desarrollo de las poblaciones de Cacopsylla pyri (L.). El estudio se realizó en una finca de la Estación Experimental de Lleida en Gimenells, para las variedades Blanquilla y Conference. Los parámetros medidos en la planta fueron: el incremento del perímetro del tronco, la densidad de lamburdas, la superficie foliar, el contenido en clorofila, el contenido en agua y el grosor de la hoja. Para estimar la densidad de poblacion del insecto, se realizaron recuentos de los estados inmaduros de C. pyri en lamburdas durante el invierno y en brotes tiernos durante el periodo vegetativo en los años 2000 y 2001. Se han observado diferencias significativas entre las dos variedades en cuanto a las características de la planta estudiadas y la incidencia de C. pyri. La incidencia de la psila es mayor en la variedad Blanquilla, variedad más vigorosa, con mayor superficie foliar, hojas más delgadas y con menor contenido en clorofila que la variedad Conference.

Definition of linear color models in the RGB vector color space to detect red peaches in orchard images taken under natural illumination

This work proposes the detection of red peaches in orchard images based on the definition of different linear color models in the RGB vector color space. The classification and segmentation of the pixels of the image is then performed by comparing the color distance from each pixel to the different previously defined linear color models. The methodology proposed has been tested with images obtained in a real orchard under natural light. The peach variety in the orchard was the paraguayo (Prunus persica var. platycarpa) peach with red skin. The segmentation results showed that the area of the red peaches in the images was detected with an average error of 11.6%; 19.7% in the case of bright illumination; 8.2% in the case of low illumination; 8.6% for occlusion up to 33%; 12.2% in the case of occlusion between 34 and 66%; and 23% for occlusion above 66%. Finally, a methodology was proposed to estimate the diameter of the fruits based on an ellipsoidal fitting. A first diameter was obtained by using all the contour pixels and a second diameter was obtained by rejecting some pixels of the contour. This approach enables a rough estimate of the fruit occlusion percentage range by comparing the two diameter estimates.