Selection for environmental variance of litter size in rabbits

Here, we present the results of a large array of cross validation experiments exploring the effects of the size of the training population, the density of markers in relation

We investigated the accuracy of genomic estimate breeding values (GEBV) through cross validation in a synthetic population (SP) of broad genetic diversity developed for upland

The 16 candidate genes identified in this study are involved in functions that are related to immune (DOCK2, HDAC9, ITGB8, and HUNK) and stress (ENSOCUG00000021276)

The aim of the present study was to estimate the genetic parameters as- sociated with environmental variability for litter size, litter birth weight and individual mean birth weight

[22] showed that mature non-reproductive individuals (6 to 10 wk of age) from a mouse line selected for more than 90 generations for high litter size at birth (S-line), and

order to improve genetic progress of LS in sheep using overlapping generations and all family information; and (ii) to study different selection criteria combining

In these situations, progeny testing schemes are supe- rior for decreasing the residual variance ( ΔA v ), but are inferior for ΔA m unless the relative generation interval of

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