Developing a tool to optimize research on antioxidants for rooster semen cryopreservation
This study aimed to develop a tool for predicting the potential impact of research studies involving the effect of antioxidants in rooster semen freezing diluent, depending on the variables that have been studied. To achieve this, a comprehensive meta-analysis of fifty-eight research documents was performed. Sixty-two traits were sorted into four major categories: study demographics, study design-related parameters, rooster semen quality-related parameters, and fertility level indicators. The quartile determination of each research document was collected from the Journal Citation Reports database. After twenty-five testing rounds, all variables that showed multicollinearity problems were discarded from further analyses (VIF < 5). HOST, pellet volume, mass motility, light hours, and sperm concentration were the most influential traits for the classification of papers in different quartiles (Wilks’ lambda: 0.797, 0.891, 0.895, 0.896, and 0.904, respectively). The research was validated as reported in the cross-validation analysis, with 93.60% of papers being correctly classified within their group. The present research assists researchers not only in the decision-making process for journals in which to publish the outcomes of their studies, but also to seek for the inclusion of parameters which attract a wider interest for the matter from scientific readers. This leads to the optimisation of resources in studies evaluating the effect of antioxidants in poultry reproduction by identifying the most scientifically relevant variables and those which in trun will lead toa greater impact on research publications.
Using the discriminant canonical analysis, the scientific community can know which variables to take into account to achieve a greater impact in the cryopreservation studies of rooster sperm.
The study of membrane functionality (HOST) could be a surrogate for in vivo fertility assessment as it predicts the survival rate of spermatozoa in the female reproductive tract.
Pellet volume, mass motility, light hours for sperm-donor animals, and semen concentration have a higher discriminatory capacity for studies in different quartiles of the JCR database.
Using the discriminant canonical analysis, the scientific community can know which variables to take into account to achieve a greater impact in the cryopreservation studies of rooster sperm.
The study of membrane functionality (HOST) could be a surrogate for in vivo fertility assessment as it predicts the survival rate of spermatozoa in the female reproductive tract.
Pellet volume, mass motility, light hours for sperm-donor animals, and semen concentration have a higher discriminatory capacity for studies in different quartiles of the JCR database.
