7 at 8 weeks, 14 weeks and 22 weeks by choosing low egg productivity. These results imply that the accuracy of the selection of low egg productivity Volasertib mechanism using the PreZone method is higher than the regression method used in the premature stage of birds.Table 10Selection of low egg productivity in batch C of birds using union set of batches A and B.4. DiscussionIn the present study, we used a PreZone to improve the egg production in TRFCCs. Four serum proteins, vitellogenin, apolipoprotein A-I, X protein (an IGF-I-like protein), and apo VLDL-II, were used as chosen parameters for egg production in three batches of TRFCCs. The PreZone emphasises the individual variance among a population.

Even though the zones associated with the low egg productivity of birds appeared irregularly in the two batches of birds, we could still find regularity of these zones in both populations based on score and rank transformations. Interestingly, at 8 and 14wks of age, these serum proteins participate in body growth and development instead of egg formation. Moreover, no correlation was found between the levels of those serum proteins and egg numbers (Table 5 to Table 7). The regular tendency of those zones associated with low egg productivity in three batches of birds (8 and 14wks) suggests that the individual variance might be programmed earlier, and a hen’s potential for egg production seems to correspond to the levels of serum proteins. Although the expression of these proteins is regulated by upstream gene elements, gene polymorphisms that lead to differences in egg production and its association with the levels of serum proteins remain unclear.

The egg production rate has improved from 5% and 9.5% after two continuous (Table 9) and three (Table 10) stages (union set). Interestingly, the rate of egg production was also increased 5.6% or 8.6% or 9.5% by early-stage (8 to 22wks) chosen. At this stage we only use three datasets, and the two of these datasets are used to predict the third dataset. If more datasets could be collected and combined then the accuracy could be improved. In Taiwan, TRFCCs enter the market around 14wks old. The economic benefits will be evaluated in the future by zone method at those time stages.In conclusion, in this paper we present the PreZone algorithm. The purpose of PreZone is to select chickens that produce low egg yield, based on serum protein levels as selection indices.

Furthermore, if response and predictors have a low correlation, then PreZone provides an alternative prediction methodology.Authors’ ContributionY. Cilengitide J. Lin and M. L. Liou contributed equally to this work.AcknowledgmentsThe authors would like to thank Dr. Jyh Hung Lin and Dr. Chin Kai Chuang for collecting the chicken sera. PreZone is available from the following website: http://www.cs.nthu.edu.tw/~dr928307/PreZone.htm.