Sentence examples for I sire from inspiring English sources

Exact(1)

Outside, in sunny weather, the flag-waving crowd sported paper crowns in black-yellow-red colours.For a day, at least, the country seemed to have disproved the dictum of Jules Destrée, a francophone socialist, who a century ago said in an open letter to Philippe's great-grandfather, King Albert I: "Sire... you reign over two peoples.

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I have sired two children that I know about and I am lucky enough to work with prolific, amazing comedians and performers Adam Cayton-Holland, Andrew Orvedahl, and Ben Roy ("The Grawlix") to put together The Grapes of Rad Comedy Show every month.

Semen from sires used in artificial insemination (AI sires) was obtained from commercial and private suppliers.

But it's feasible that I've sired a kid or two that I'll never meet.

As for me, I was sired in 1977, the same year as Jonathan Safran Foer, who is the hero of this story.

Here, two models were evaluated: (i) the sire model does not take into account the pedigree, i.e. the sire effects follow a where was a quarter of the genetic variance, and (ii) the sire model includes a pedigree, i.e. the sire effects follow a where was a quarter of the genetic variance and A s was the relationship matrix of sires.

First, compute parent average (PA) EBV and reliability for animal i with sire and dam as parents:, and.

We fitted the model: (1) Y ijl = m + T l + s j + (Ts ) jl + e ijl where y ijl is the life span of offspring i of sire j tested against tester l, m is the intercept, T l is the effect of tester l, s j the effect of sire j, (Ts) jl the interaction of sire j against tester l and e ijl is the random error associated with offspring i with sire j tested against tester l.

The classical MACE model for the i th sire, denoted as: (1) y i = X i b + Z i u i + ε i, and the random regression (RR MACEE model, denoted as: (2) y i = X i b + Z i V ν i + ε i, are equivalent but differently parameterized models.

I thought I had been sired by that dog.

For maternal genet i = {1, 2, …, M}, the number of seeds n ij (i ≠ j) sired by male genet j = {1, 2, …, N} is assumed to follow a multinomial distribution with the probability p ij and sample size ∑ k = 1 k ≠ i N − 1 n ik.

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