Contents Flow cytometry has become an important technique in sperm evaluation and is increasingly used both for routine assessment and for research in veterinary science. We have revised the literature, describing fluorescent probes that have been used for analysing spermatozoa by flow cytometry, regarding: viability, acrosomal status, capacitation, mitochondrial status, apoptotic markers, oxidative stress markers, DNA damage, sperm counting and sperm sizing. Details and problems of some techniques are reviewed, with special attention to the occurrence of non‐sperm particles in the samples (‘debris’). New and promising aspects of flow cytometry, such as sperm sorting using viability markers as selection criteria, are highlighted. The relationship between flow cytometry analyses and fertility and their future improvements are considered.

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The morphological characteristics of bovine and equine gustatory lingual papillae are compared by scanning electron microscopy. The fungiform papillae in the cow have a shape that corresponds to their name, while in the horse, they almost do not emerge from the surface of the tongue. These papillae show taste pores in both species. The vallate papillae, four times larger in the horse than in the cow, show a complex organization of papillae and secondary grooves in the horse. In the cow, they occur single and are surrounded by a thick annular pad of lingual mucosa. Taste pores have been observed in the vallate papillae of both species, whereas in the foliate papillae, they are present only in the horse. A characteristic distribution of stratified scales and channeled tracts is observed on the surface of all gustatory papillae in both species. The possible functional importance of each type of gustatory papilla is discussed on the basis of their morphostructural features.

We have applied a statistical protocol based on principal component analysis, clustering methods, and discriminant analysis for the identification of sperm subpopulations in computer-assisted sperm analysis (CASA) data. Samples were obtained from the cauda epididymis of 11 Iberian red deer and cryopreserved following a standard protocol. Motility by CASA was analyzed just after sperm recovery, just before freezing, and after thawing, and eight motility descriptors for each individual spermatozoon were recorded. Sperm viability and acrosomal status were also assessed. Subpopulation analysis was performed in four sequential steps: principal component analysis using the eight motility descriptors; nonhierarchical clustering analysis (k-means) using the first two principal components; hierarchical clustering analysis (UPGMA); and selection of the final number of clusters. Three clusters were obtained for each motility analysis: slow and nonlinear; rapid and linear; and rapid, high ALH, nonlinear. We detected variations in the clusters between treatments (initial, prefreezing and postthawed). Indeed, motility increased and linearity decreased in the prefreezing analysis. A discriminant analysis isolated three descriptors that were used again in the same statistical analysis, giving four clusters that resembled the pattern found in the first classification. We also performed a clustering analysis of the males according to prefreezing/postthawed variation of total motility, viability, and acrosomal status. The proportion of the linear subpopulations in the prefreezing treatment, in both clustering analyses, correlated positively with postthawed viability recovery. Our results show that clustering analysis of CASA data gives useful and practical information that is not obtained by conventional sperm analysis.

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