| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Green mathematics: benefits of including biological variation in your data analysis
Authors:ID Tijskens, Leopold (Author)
ID Schouten, Rob (Author)
ID Unuk, Tatjana (Author)
ID Simčič, Marjan (Author)
Files:.pdf Acta_Agriculturae_Slovenica_2015_TIJSKENS_et_al._Green_mathematics_Benefits_of_including_biological_variation_in_your_data_analysis.pdf (852,55 KB)
MD5: 2C49A2FBE3B426A7192C7036C9725E40
PID: 20.500.12556/dkum/12e6a0cf-38a4-4d45-b3bf-45ff063945cb
 
URL http://aas.bf.uni-lj.si/marec2015/16Tijskens.pdf
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FKBV - Faculty of Agriculture and Life Sciences
Abstract:Biological variation is omnipresent in nature. It contains useful information that is neglected by the usually applied statistical procedures. To extract this information special procedures have to be applied. Biological variation is seen in properties (e.g. size, colour, firmness), but the underlying issue is almost always to the variation in development or maturity in a batch of individuals generated by small scale environmental differences. The principles of assessing biological variation in batches of individuals are explained without putting emphasis on mathematical details. Obtained explained parts increase from about 60 to 80 % for the usual approach to 95 when the biological variation is taken into account. When technical variation or measuring error is small even 99 % can be achieved. The benefit of the presented technology is highlighted based on a number of already published studies covering the colour of apples during growth and storage and the firmness of cut tomatoes during storage.
Keywords:biological variation, biological shift factor, mixed effects nonlinear regression, indexed nonlinear regression, colour of apples, firmness of tomatoes
Publication status:Published
Publication version:Version of Record
Year of publishing:2015
Number of pages:str. 157-164
Numbering:Letn. 105, št. 1
PID:20.500.12556/DKUM-66866 New window
ISSN:1581-9175
UDC:634.1+635.64:574.1
ISSN on article:1581-9175
COBISS.SI-ID:3915564 New window
DOI:10.14720/aas.2015.105.1.16 New window
NUK URN:URN:SI:UM:DK:RO6ELVMD
Publication date in DKUM:13.07.2017
Views:1398
Downloads:436
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Acta agriculturae Slovenica
Shortened title:Acta agric. Slov.
Publisher:Biotehniška fakulteta Univerze v Ljubljani
ISSN:1581-9175
COBISS.SI-ID:213840640 New window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:13.07.2017

Secondary language

Language:Slovenian
Title:Zelena matematika: koristi od vključevanja biološke spremenljivosti v analizo podatkov
Abstract:Biološka spremenljivost je prisotna povsod v naravi. Vsebuje koristno informacijo, ki je navadno prezrta v navadno uporabljenih statističnih postopkih. Če hočemo izluščiti to informacijo je potrebno uporabiti posebne postopke. Biološko spremenljivost lahko opazujemo v lastnostih kot so velikost, barva, čvrstost itd., kjer je osnova zanjo skoraj vedno razlika v razvoju ali zrelosti vzorca analiziranih primerkov, ki jo povzročajo majhne notranje in okoljske razlike. Osnove ugotavljanja biološke spremenljivosti v naboru analiziranih primerkov so razložene brez poudarjanja matematičnih podrobnostih. Pojasnjen delež spremenljivosti je pri običajnem postopku med 60 in 80 %. Če upoštevamo biološko spremenljivost, se poveča na 95 %. V primeru, da odpravimo še napake meritve, lahko pojasnjen delež spremenljivosti povečamo na 99 %. Takšen način obdelave je dal zelo dobre rezultate v že objavljenih raziskavah razvoja barve jabolk med rastjo in hrambo ter pri meritvah čvrstosti paradižnika med shranjevanjem.
Keywords:biološka spremenljivost, biološki šift faktor, mešani učinek nelinearne regresije, indeksirana nelinearna regresija, barva jabolk, čvrstost paradižnika


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica