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International Journal of Poultry Science

Year: 2003  |  Volume: 2  |  Issue: 2  |  Page No.: 164 - 167

Predicting Egg Weight, Shell Weight, Shell Thickness and Hatching Chick Weight of Japanese Quails Using Various Egg Traits as Regressors

Khurshid. A., M. Farooq, F. R. Durrani, K. Sarbiland and N. Chand


The present study was conducted on eggs of Japanese quail maintained in cages at the research unit, NWFP, Agricultural University, Peshawar, Pakistan. Five hundred eggs selected at random were broken to record data on egg weight (g), egg length (cm), egg width (cm), shell weight (g) and shell thickness (mm). Another 500 eggs were put in the incubator after discarding undesirable eggs and recording data on egg weight, egg length and egg width. Egg weight was better predictable from egg width and length. Following equations were developed to predict egg weight from egg length and width; (Equation 1) Ŷ= - 3.3133600 + 1.835144(X1) + 2.655127(X2), (Equation 2) Ŷ= 1.970096 + 2.252730(X3) and (Equation 3) Ŷ= - 1.0109318 + 3.616882(X4). Where; `Ŷ `was predicted egg weight, X1 and X3 the egg length and X2 and X4 the egg width for every equation separately. Following equations were developed for predicting eggshell weight from egg weight, length and width; (Equation 4) Ŷ=- 0.521102+0.310761(X5) +0.4074 (X6), (Equation 5) Ŷ=0.138189+0.062933(X7) +0.233078(X8) and (Equation 6) Ŷ=- 0.001150+0.071568(X9) +0.311496(X10). Where Ŷ was predicted eggshell weight, X5 and X8 were egg length, X6 and X10 are egg width and X7 and X9 were egg weight (g), respectively. Shell thickness was predictable with sufficient accuracy from egg weight, width and length and following equations were developed to predict it; (Equation 7) Ŷ= 0.154646 + 0.076448(X11) and (Equation 8) Ŷ= 0.154721 + 0.000694(X12) + 0.073939(X13). Where `Ŷ ` was predicted eggshell thickness, X11 and X13 the egg width and X12 the egg weight for each equation separately. Weight of egg albumin was predictable from the following equations; (Equation 9) Ŷ= - 0.685557 + 0.460613(X14) + 0.079842(X15) + 0.412241(X16), (Equation 10) Ŷ= - 0.553150 + 0.468198(X17) + 0.426649(X18), (Equation 11) Ŷ= 0.279557 + 0.468198(X19) and (Equation 12) Ŷ= - 2.128934 + 0.925133(X20) + 1.63522(X21). Where `Ŷ ` was the predicted weight of egg albumin, X14, X17 and X19 the egg weight, X15 and X20 the egg length in cm and X16, X18 and X21 the egg width in cm for each equation separately. Weight of egg yolk could be predicted from the following equations; (Equation 13) Ŷ= - 0.618041 + 0.339520(X22) + 0.156591(X23), (Equation 14) Ŷ= - 0.303204 + 0.355813(X24), (Equation 15) Ŷ= 0.003214 + 1.141682(X25) and (Equation 16) Ŷ= 0.050845 + 0.921437(X26). Where, Ŷ was predicted weight of egg yolk, X22 and X24 were the egg weight in grams, X23 and X25 the egg width in cm and X26 the egg length in cm for each equation separately. Weight of the newborn chick was better predictable from egg weight, width, length and egg shape index (equation 17). Ŷ = -5.558612 + 0.629504(X27) - 0.839306(X28) + 1.246874(X29) + 0.050482(X30) . Where; `Ŷ ` will be the predicted weight of the new born chick, `X27` the egg weight, `X28` the egg width, `X29` the egg length and `X30` the egg shape index. The equations developed for each trait are to be used in the order given to ensure better accuracy of the results.

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