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HGLMs have previously been applied in genetics (e.g. [ 13, 14]) but animal breeding models have not been studied using DHGLM.
Future efforts at incorporating novel alleles into modern germplasm via selective breeding or transgenics, as well as developing predictive breeding models, will benefit from the history of research in maize, as well as its rich heritage of genetic diversity.
Deviations of MH sampling such as Langevin-Hastings could also have been explored and assessed here, although its advantage relative to MH sampling has not been too convincing in other animal breeding models [ 11, 12].
This finding suggests that the potential advantage of GEBV needs to be estimated for each breeding population based on the contribution from LD to the accuracy of the predictions, and that phenotypic measurements and genotyping to model the genetic control of phenotypic variation may be required in every generation to maintain the predictive accuracy of genomic breeding models.
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This section deals with the seasonally breeding model with impulse lethal control.
Next, consider impulse contraception control based on the seasonally breeding model (1).
Based on a seasonally breeding model and the logistic model, the effect of impulse lethal control and impulse contraception control on rodent population dynamics is investigated.
In the present paper, based on seasonally breeding model and the logistic model, the effect of lethal control and contraception control on rodent population dynamics is investigated.
In the seasonally breeding model, one year is divided into breeding season and non-breeding season and we describe the rodent population dynamics in these two time periods with different continuous mathematical models.
This study shows how empirically obtained power laws describing the secondary nucleation rate for a range of different materials, as presented in the literature, can be interpreted in terms of this "surface breeding" model.
For the seasonally breeding model with lethal control (7) and the seasonally breeding model with contraception control (14), when the control rate (p or q) is larger than (1 mbox mathrm{e}^{L(r_{2}T_{2} - r_{1}T_{1})}), the rodent dies out, and when the control rate (p or q) is smaller than (1 mbox mathrm{e}^{L(r_{2}T_{2} - r_{1}T_{1})}), the rodent persists.
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