Abstract: Sound exposure effects have been investigated by
broadcasting a group of broilers with sound of Quran verses (Group
B) whereas the other group is the control broilers (Group C). The
growth rate comparisons in terms of weight and raw meat texture
measured by shear force have been investigated. Twenty-seven
broilers were randomly selected from each group on Day 24 and
weight measurement was carried out every week till the harvest day
(Day 39).Group B showed a higher mean weight on Day 24 (1.441 ±
0.013 kg) than Group C. Significant difference in the weight on Day
39 existed for Group B compared to Group C (p < 0.05). However,
there was no significant (p >0.05) difference of shear force in the
same muscles (breast and drumstick raw meat) of both groups but the
shear force of the breast meat for Group B and C broilers was lower
(p < 0.05) than that of their drumstick meat. Thus, broadcasting the
sound of Quran verses in the coop can be applied to improve the
growth rate of broilers for producing better quality poultry.
Abstract: Near infrared (NIR) spectroscopy has always been of
great interest in the food and agriculture industries. The development
of prediction models has facilitated the estimation process in recent
years. In this study, 110 crude palm oil (CPO) samples were used to
build a free fatty acid (FFA) prediction model. 60% of the collected
data were used for training purposes and the remaining 40% used for
testing. The visible peaks on the NIR spectrum were at 1725 nm and
1760 nm, indicating the existence of the first overtone of C-H bands.
Principal component regression (PCR) was applied to the data in
order to build this mathematical prediction model. The optimal
number of principal components was 10. The results showed
R2=0.7147 for the training set and R2=0.6404 for the testing set.