A model for quantification of temperature profiles via germination times

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Standard

A model for quantification of temperature profiles via germination times. / Pipper, Christian Bressen; Adolf, Verena Isabelle; Jacobsen, Sven-Erik.

In: Journal of Agricultural, Biological, and Environmental Statistics, Vol. 18, No. 1, 2013, p. 87-101.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Pipper, CB, Adolf, VI & Jacobsen, S-E 2013, 'A model for quantification of temperature profiles via germination times', Journal of Agricultural, Biological, and Environmental Statistics, vol. 18, no. 1, pp. 87-101. https://doi.org/10.1007/s13253-012-0125-7

APA

Pipper, C. B., Adolf, V. I., & Jacobsen, S-E. (2013). A model for quantification of temperature profiles via germination times. Journal of Agricultural, Biological, and Environmental Statistics, 18(1), 87-101. https://doi.org/10.1007/s13253-012-0125-7

Vancouver

Pipper CB, Adolf VI, Jacobsen S-E. A model for quantification of temperature profiles via germination times. Journal of Agricultural, Biological, and Environmental Statistics. 2013;18(1):87-101. https://doi.org/10.1007/s13253-012-0125-7

Author

Pipper, Christian Bressen ; Adolf, Verena Isabelle ; Jacobsen, Sven-Erik. / A model for quantification of temperature profiles via germination times. In: Journal of Agricultural, Biological, and Environmental Statistics. 2013 ; Vol. 18, No. 1. pp. 87-101.

Bibtex

@article{570a843975b14cb28e88020b146a972c,
title = "A model for quantification of temperature profiles via germination times",
abstract = "Current methodology to quantify temperature characteristics in germination of seeds is predominantly based on analysis of the time to reach a given germination fraction, that is, the quantiles in the distribution of the germination time of a seed. In practice interpolation between observed germination fractions at given monitoring times is used to obtain the time to reach a given germination fraction. As a consequence the obtained value will be highly dependent on the actual monitoring scheme used in the experiment. In this paper a link between currently used quantile models for the germination time and a specific type of accelerated failure time models is provided. As a consequence the observed number of germinated seeds at given monitoring times may be analysed directly by a grouped time-to-event model from which characteristics of the temperature profile may be identified and estimated. Simulations indicate that the performance of the proposed methodology is satisfactory irrespective of the actual monitoring scheme. Finally, the model is applied to a quinoa germination experiment studying the impact of soil salinity. ",
author = "Pipper, {Christian Bressen} and Adolf, {Verena Isabelle} and Sven-Erik Jacobsen",
year = "2013",
doi = "10.1007/s13253-012-0125-7",
language = "English",
volume = "18",
pages = "87--101",
journal = "Journal of Agricultural, Biological, and Environmental Statistics",
issn = "1085-7117",
publisher = "Springer",
number = "1",

}

RIS

TY - JOUR

T1 - A model for quantification of temperature profiles via germination times

AU - Pipper, Christian Bressen

AU - Adolf, Verena Isabelle

AU - Jacobsen, Sven-Erik

PY - 2013

Y1 - 2013

N2 - Current methodology to quantify temperature characteristics in germination of seeds is predominantly based on analysis of the time to reach a given germination fraction, that is, the quantiles in the distribution of the germination time of a seed. In practice interpolation between observed germination fractions at given monitoring times is used to obtain the time to reach a given germination fraction. As a consequence the obtained value will be highly dependent on the actual monitoring scheme used in the experiment. In this paper a link between currently used quantile models for the germination time and a specific type of accelerated failure time models is provided. As a consequence the observed number of germinated seeds at given monitoring times may be analysed directly by a grouped time-to-event model from which characteristics of the temperature profile may be identified and estimated. Simulations indicate that the performance of the proposed methodology is satisfactory irrespective of the actual monitoring scheme. Finally, the model is applied to a quinoa germination experiment studying the impact of soil salinity.

AB - Current methodology to quantify temperature characteristics in germination of seeds is predominantly based on analysis of the time to reach a given germination fraction, that is, the quantiles in the distribution of the germination time of a seed. In practice interpolation between observed germination fractions at given monitoring times is used to obtain the time to reach a given germination fraction. As a consequence the obtained value will be highly dependent on the actual monitoring scheme used in the experiment. In this paper a link between currently used quantile models for the germination time and a specific type of accelerated failure time models is provided. As a consequence the observed number of germinated seeds at given monitoring times may be analysed directly by a grouped time-to-event model from which characteristics of the temperature profile may be identified and estimated. Simulations indicate that the performance of the proposed methodology is satisfactory irrespective of the actual monitoring scheme. Finally, the model is applied to a quinoa germination experiment studying the impact of soil salinity.

U2 - 10.1007/s13253-012-0125-7

DO - 10.1007/s13253-012-0125-7

M3 - Journal article

VL - 18

SP - 87

EP - 101

JO - Journal of Agricultural, Biological, and Environmental Statistics

JF - Journal of Agricultural, Biological, and Environmental Statistics

SN - 1085-7117

IS - 1

ER -

ID: 44850577