Bio-prediction of Egg Weight and Egg Component Parts at Different Ages in Small-sized Japanese Quails using Pre-broken Egg Traits as Regressors

Autori

  • S.O.K Fajemilehin

Parole chiave:

Deep litter, Japanese quail, post-broken, prediction equations,

Abstract

The present study was conducted on eggs of Japanese quail reared on deep litter at the Teaching and Research Farm, Ekiti State University, Ado-Ekiti. Three hundred eggs were randomly selected for the measurement of egg weight (g), egg length (cm) and egg width (cm); and broken to collect data of shell weight (g), albumin weight (g) and yolk weight (g) at different ages. A number of equations were developed to predict the egg weight and post-broken traits from pre-broken traits at the different ages. The prediction equations of egg weight at different ages showed that the associations were significant (P<0.01) and positive with adjusted R2 at 22.1-25.9, 17.1-19.5 and 31.6-36.6% for egg length, egg width and egg length + width respectively. Egg shell weight was predictable with sufficient accuracy (P<0.01) from egg weight + egg length (R2 = 8.1-9.3%); egg weight + egg width (R2 = 7.7-9.1%) and egg weight + egg length + egg width (R2 = 8.8- 10.1%) across the ages. Egg albumin was predictable (P<0.01) from egg weight + egg length (R2 = 71.5-76.3%); egg weight + egg width (R2 = 71.9-77.9%) and egg weight + egg length + egg width (R2 = 73.1-79.3%). The weight of egg yolk was predictable (P<0.01) from egg weight, length and width (, R2 = 69.9-78.2%); from egg weight and width (R2 = 61.4-66.8%) and from egg weight and length (R2 = 40.0 to 48.3%). This study showed that in vivo prediction based on single trait was not as reliable compared to the use of more than one trait. 

Biografia autore

S.O.K Fajemilehin

Department of Animal Production and Health Sciences
Faculty of Agricultural Sciences
Ekiti State University, Ado-Ekiti, Nigeria 

##submission.downloads##

Pubblicato

2016-09-30