Little data are available in the literature regarding freezability of boar sperm or its relationship with other traits. Existing data suggest the trait would respond favourably to selection, and information is available from other species suggesting components that might have changed. Genetic parameters are estimated for boar sperm freezability including heritability and correlations with other...

With the advent of human assisted reproduction in the year 1978 numerous techniques were developed to isolate spermatozoa capable to fertilize oocytes. While early methodologies only focused on the aim of isolating viable, motile spermatozoa, with further progress of assisted reproductive technology, particularly for ICSI, it rapidly became clear that these two parameters are insufficient for t...

This chapter will discuss the various sperm preparation and selection techniques used to process sperm for use with assisted reproductive techniques: swim-down, swim-up, migrationsedimentation, density gradient centrifugation, magnetic activated cell sorting, and glass wool filtration. It will also explain the procedures used to prepare viscous semen samples as well as when to obtain and prepar...

Four methods of selection for net merit comprising 2 correlated traits were compared in this study: 1) EBV-only index (I₁), which consists of the EBV of both traits (i.e., traditional 2-trait BLUP selection); 2) GEBV-only index (I₂), which comprises the genomic EBV (GEBV) of both traits; 3) GEBV-assisted index (I₃), which combines both the EBV and the GEBV of both traits; and 4) GBV-assisted in...

the white button mushroom, agaricus bisporus, is a commercially important cultivated filamentous fungus. strain stability is of great importance to both spawn producers and mushroom growers. mushroom strains are usually propagated via vegetative method on nutritionally rich substrates. abnormal growth and poor yield ‎are the consequences of this replication method. the reason for this phenomeno...

Multinomial logistic regression is preferred in the classification of multicategory response data for its ease interpretation and ability to identify associated input variables each category. However, identifying important high-dimensional poses several challenges as majority are unnecessary discriminating categories. Frequently used techniques include regularisation such Least Absolute Selecti...