Predicting Germination Response to Temperature. I. Cardinal-temperature Models and Subpopulation-specific Regression
Author(s) -
Stuart P. Hardegree
Publication year - 2006
Publication title -
annals of botany
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.567
H-Index - 176
eISSN - 1095-8290
pISSN - 0305-7364
DOI - 10.1093/aob/mcl071
Subject(s) - germination , biology , regression analysis , regression , probit , probit model , constant (computer programming) , botany , statistics , mathematics , computer science , programming language
The purpose of this study was to compare the relative accuracy of different thermal-germination models in predicting germination-time under constant-temperature conditions. Of specific interest was the assessment of shape assumptions associated with the cardinal-temperature germination model and probit distribution often used to distribute thermal coefficients among seed subpopulations.
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