Technological innovation to harnessing the nutritional power of Azolla-apple pomace as an innovative feed for backyard poultry
Technological innovation to harnessing the nutritional power of Azolla-apple pomace as an innovative feed for backyard poultry
Author(s)
Showkeen Muzammil Bashir, Showkat Ul Nabi, Yasir Afzal Rather, Majid Shafi, Azmat Alam Khan and Showkat Ahmad Shah
Abstract
This study explores the potential of utilizing a novel feed combination comprising Azolla (water fern) and apple pomace for backyard poultry. Azolla, a nutrient-rich aquatic fern, and apple pomace, a byproduct of apple processing, offer a balanced nutritional profile suitable for poultry diets. The experiment aimed to evaluate the effects of incorporating Azolla and apple pomace into the feed on the growth performance, egg production, and overall health of backyard poultry. The study involved a feeding trial with different experimental groups receiving varying proportions of Azolla and apple pomace in their diet. Parameters such as body weight gain, feed conversion ratio, egg production, and egg quality were monitored throughout the trial. The results indicate that the inclusion of Azolla and apple pomace positively influenced the growth and productivity of the backyard poultry, providing a cost-effective and sustainable alternative to conventional feeds. Furthermore, the nutritional analysis revealed that the combined Azolla-apple pomace feed offered essential nutrients, including proteins, vitamins, and minerals, contributing to the overall well-being of the poultry. The study suggests that this alternative feed formulation could be a viable option for small-scale poultry farmers, promoting resource efficiency and reducing dependence on traditional feed sources.
How to cite this article:
Showkeen Muzammil Bashir, Showkat Ul Nabi, Yasir Afzal Rather, Majid Shafi, Azmat Alam Khan, Showkat Ahmad Shah. Technological innovation to harnessing the nutritional power of Azolla-apple pomace as an innovative feed for backyard poultry. Int J Appl Res 2022;8(7):560-562.