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As a result, manipulating the lactation curve for improved persistency requires higher selection intensity than unrestricted selection based on 305-d estimated breeding value (EBV).
Improved persistency is thus a major breeding target.
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Although using non-linear alternatives (e.g. BayesA, BayesB, BayesR) is not always superior to GBLUP for within-breed prediction, nonlinear methods are expected to improve the persistency of the accuracy of genomic predictions over future generations [ 1, 10].
The model adaptation speed based on observed scene statistics could be improved in the future for faster adaptation of changed background and better persistency.
Thus, IR1 is a viable strategy for improving EBVL while holding persistency constant.
These eigen indexes were designed to improve lactation milk and persistency defined as difference in milk between DIM 280 and DIM 55.
Modification of the lactation curve requires severe restrictions on selection criteria designed to simultaneously improve both milk yield and persistency.
A semantic id scheme based on continuity of geometry is developed to solve the problem of naming persistency and to improve interoperability of CAD feature modeling.
This extended persistency in PLC is expected to improve performance over the existing age-based utility definitions as used in [19, 21].
However, contrary to the expected persistency of visual deficiencies, refractive surgery (surgery that corrects refractive errors such as myopia, astigmatism, and hyperopia) is able to improve corrected visual acuity in amblyopic patients [ 116– 116].
It is important to have improvement in both lactation milk yield and persistency.
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