Ordinal regression model for pea seed mass
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F17%3A43912113" target="_blank" >RIV/62156489:43210/17:43912113 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1515/boku-2017-0008" target="_blank" >https://doi.org/10.1515/boku-2017-0008</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/boku-2017-0008" target="_blank" >10.1515/boku-2017-0008</a>
Alternative languages
Result language
angličtina
Original language name
Ordinal regression model for pea seed mass
Original language description
The development of seeds at various positions in the pod is asynchronous. Thus, the differences of seed dry mass production because of environmental conditions may depend on the cultivar type, type of inoculants and interrelations between seeds per pod, pods per plant or seeds per plant. Presently, a mathematical description of pea seed categorisation is missing. The aim of the study was the assessment of two groups of variables (quantitative and qualitative) for pea seed weight categorisation by ordinal regression model. Year, cultivar and inoculant constituted the first group (qualitative variables), whilst seeds per pod, the pods per plant and seeds per plant (quantitative variables) were entered as covariates in the ordinal regression model. According to the ordinal regression model variables, seeds per pod, pods per plant, seeds per plant, year and cultivar are meaningful predictors of the seed mass categories. However, the variable inoculant is marginally significant.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Bodenkultur
ISSN
0006-5471
e-ISSN
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Volume of the periodical
68
Issue of the periodical within the volume
2
Country of publishing house
AT - AUSTRIA
Number of pages
7
Pages from-to
81-87
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85046118102