Abstract

There are an increasing number of studies on the effect of cassava (Manihot esculenta Crantz) on performance of laying hens with inconsistent outcomes. This study, therefore, used a meta-analytic approach to examine the effect of cassava-based diets on feed intake (FI), feed conversion ratio (FCR) end production data such as hen day egg production (HDEP), egg weight (EW), egg mass (EM), Haugh unit (HU), shell weight (SW) and shell thickness (ST) in laying hens. Two hundred and three studies were identified in a search performed in PubMed, Scopus and Google Scholar databases of which thirteen studies were suitable for the meta-analysis. Subgroup and meta-regression analyses were performed to explore the responses of laying hens to dietary cassava and sources of heterogeneity, respectively using the following moderators: study continent, cassava type, cassava processing methods, inclusion level, layer strain, feeding durations, number of layers and hen's age. Data were pooled using a random-effects model and statistical analyses were performed in OpenMEE software. Results show that cassava increased FI (mean difference MD = 0.97 g/d; 95% confidence intervals (CI) 0.05, 1.90) and reduced egg weight (MD = −0.72 g; 95% CI -1.26, −0.19) and SW (MD = −0.11 g; 95% CI -0.18, −0.04) when compared to control. Laying hens fed cassava diets had HDEP, FCR, EM, ST and HU values that compared favourably with the controls. Subgroup analysis demonstrated that inclusion of cassava at ≤ 25% in layer diets had no deleterious effects on measured outcomes taking cognizance of significant heterogeneity. However, meta-regression results showed that most of the sources of heterogeneity were explained by the studied moderators. In conclusion, ≤25% of cassava (CRM and CPM) can be included in layer diets without adverse effects on feed intake, feed conversion ratio and egg production characteristics, indicating that cassava has a very bright future as an energy source in the diets of laying hens.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call