More recently, however, the development debate has increasingly focused on the far more relevant issue of whether and how the agricultural sector can be expected to make an optimum contribution to the overall process of economic growth.
For example, it has been demonstrated in [5] that the optimum contribution to performance improvement is found for, where denotes the bandwidth of subband.
Finally, it discusses elements of a conducive policy environment for promoting the agroprocessing industry and for ensuring that the sector can provide the optimum contribution to economic development.
The optimum contribution selection algorithm of [ 7] was used, i.e. the genetic level of the next-generation animals, g t+1 = c t 'EBV t (EBV t contains either GEBV or TEBV), was maximised, where c t is a vector of genetic contributions of the selection candidates to generation t + 1.
Interestingly, for the current populations, optimum contributions for Approach A were slightly negatively correlated with the optimum contributions obtained for the other approaches, whereas the optimum contributions for the approaches B, C, and D were pairwise positively correlated (not shown).
For a simple comparison of TBLUP and GBLUP, truncation selection was used instead of optimum contribution selection.
For optimum contribution selection, the choice of the objective function was crucial.
However, removal of migrant contributions that arose earlier can be done subsequent to pedigree-based optimum contribution selection by identification of chromosome segments that are also present in the migrant breeds and by removal of those individuals with large migrant contributions from the breeding pool.
Moreover, pedigree-based optimum contribution selection cannot remove genetic contributions of migrants that arose before recording of pedigrees started.
The feasibility of BLUP and optimum contribution selection, however, depends on the availability of pedigree or genomic information [ 46].
