Naslov
THE USE OF BIOMETRICS IN AGRICULTURAL RESEARCH: WHAT DO WE DO WRONG?

Autori
Pecina Marija

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
AgroRes 2016 Book of Abstracts / Đurić Gordana - Banja Luka : Poljoprivredni fakultet Univerziteta u Banjoj Luci, 2016, 36-36

ISBN
978-99938-93-37-0

Skup
5th International Symposium on Agricultural Sciences AgroReS 2016

Mjesto i datum
Banja Luka, Bosna i Hercegovina, 29.02.2016. - 03.03.2016

Vrsta sudjelovanja
Pozvano predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Statistics in Agricultural Research ; Common Pitfalls and Errors ; Experimental Design ; Statistical Analysis ; Interpretation ; Presentation

Sažetak
Biometric analyses are an irreplaceable and powerful tool in agricultural scientific research. Moreover they are constantly evolving into advanced and more complex biometric models ; they are adapting and developing simultaneously with the basic topics and objectives of the research. However, before using the complex models the researchers need to be aware of potential errors and omissions at the very beginning of the study as well as of the misuse of generally known and widely used biometric techniques.A significant increase in the use of statistical methods has been documented in a wide range of biotechnical journals. However, a large portion of the published agricultural research contains statistical errors and flaws, or is rejected for publication by higher ranking journals due to generally low quality of the statistical analyses. Most of the problems arise from the lack of understanding of statistical techniques, their proper use, and their limitations. The availability of a 'user-friendly' statistical software has caused authors to become increasingly careless about the logic of interpreting their results and to rely uncritically on a computer output. It has become common and comfortable to use the 'default option' although a slightly different option would be more correct or at least more appropriate. Therefore biometricians should be involved in the early stages of planning the experimental design as mistakes at this point can have major negative repercussions affecting all subsequent stages of agricultural research. My intention is to present some of the common statistical pitfalls which may occur at different stages in the scientific research process, ranging from planning studies, through conducting statistical data analyses and documenting statistical methods applied, to interpreting and presenting the study results. Key Words: Statistics in Agricultural Research ; Common Pitfalls and Errors ; Experimental Design ; Statistical Analysis ; Interpretation ; Presentation

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Biologija, Poljoprivreda (agronomija)

POVEZANOST RADA