In vivo prediction of abdominal fat and breast muscle in broiler chicken using live body measurements based on machine learning.

The purpose of this study was to predict the carcass characteristics of broilers using support vector regression (SVR) and artificial neural network (ANN) model methods. Data were obtained from 176 yellow feather broilers aged 100-day-old (90 males and 86 females). The input variables were live body measurements, including external measurements and B-ultrasound measurements.

The relationship of spectral sensitivity with growth and reproductive response in avian breeders (Gallus gallus).

A previous study demonstrated that birds that are exposed to light at night develop advanced reproductive systems. However, spectrum might also affect the photoperiodic response of birds. The present study was aimed to investigate the effects of spectral composition on the growth and reproductive physiology of female breeders, using pure light-emitting diode spectra.

[Nitrate contents in autumn vegetables and assessment of nitrate intake in Shanghai].

To analyze and assess the nitrate contents in Autumn vegetables and nitrate intake in Shanghai resident 25 groups and 439 various vegetables were collected and analyzed from the green houses and outdoors in Songjiang, Fengxian, Jinshan and Pudong of Shanghai during Sep.-Nov., 2009.