Do precipitation and food affect the reproduction of brown brocket deer Mazama gouazoubira (G. Fischer 1814) in conditions of semi-captivity?

Abstract

The births of brown brocket deer (Mazama gouazoubira) in a secondary lower montane forest called "yunga" in northwestern Argentina were compared with rainfall. Analyses were performed with rainfall and flower-fruit fall in an attempt to determine the possible importance of these seasonal variables in birthing. The births were not directly correlated with rainfall, but rather with the flower and fruit fall of exotic plant species. This may be related to favor the development of fawns, which eat the new and more digestible plant parts, accessible one month after their births. The non-seasonal births observed around the year could be related to the selection by the deer of some plant species that have been introduced into the region (Prunus, Morus and Psidium), have a longer fruiting span than the scarce native plant species.

Use of the correlation coefficient in agricultural sciences: problems, pitfalls and how to deal with them

“…It is therefore a very popular tool for analysing data that arise in many scientific disciplines, for instance biology (e.g., Soares et al 2011, Juliá and Peris 2010, Camargo et al 2011, biomedical and medical sciences (e.g., Camacho et al 2010, Oliboni et al 2011, earth sciences (e.g., Fontana et al 2010, Rangel et al 2011, social sciences (e.g., Conte et al 2011), economics (e.g., Misztal 2011), ergonomics (e.g., Bin andRichardson 2010, Zadry et al 2011), and of course agriculture (e.g., Chełkowski et al 2000, Cheng et al 2010, Lakhesar et al 2010, Bandehagh and Hossein Zadeh Moghbeli 2011, Cherati et al 2011, Heidari Zooleh et al 2011, Herrero et al 2011, Kesavacharyulu et al 2011, Rogiers et al 2011.…”

Statistical Analysis: Marine Capture Production of West Bengal, Andhra Pradesh and Kerala

“…Pearson's correlation coefficient is a statistical method of quantifying the association, or "coherence", between two variables. It is therefore a very popular tool for analyzing data that arise in many scientific disciplines, for instance biology (Soares et al, 2011;Julia et al, 2010). In this study, the relationship between major marine capture production (Pelagic, Demersal, Crustaceans and Molluscs) and three costal states (West Bengal, Andhra Pradesh and Kerala) of India were analyzed over the period 1985-2011 using correlation analysis with the null hypothesis (H o ) that there was no statistical significant correlation between the marine capture production groups which were computed among coastal states of India.…”