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Quantifying Cardinal Temperatures of Chia (Salvia hispanica L.) Using Non-Linear Regression Models
Temperature is the main factor that impacts germination and therefore the success of annual crops, such as chia (Salvia hispanica L.), whose seeds are known for their high nutritional value related to its oil. The effect of temperature on germination is related to cardinal-temperature concepts that...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105696/ https://www.ncbi.nlm.nih.gov/pubmed/35567143 http://dx.doi.org/10.3390/plants11091142 |
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author | Cabrera-Santos, Daniel Ordoñez-Salanueva, Cesar A. Sampayo-Maldonado, Salvador Campos, Jorge E. Orozco-Segovia, Alma Flores-Ortiz, Cesar M. |
author_facet | Cabrera-Santos, Daniel Ordoñez-Salanueva, Cesar A. Sampayo-Maldonado, Salvador Campos, Jorge E. Orozco-Segovia, Alma Flores-Ortiz, Cesar M. |
author_sort | Cabrera-Santos, Daniel |
collection | PubMed |
description | Temperature is the main factor that impacts germination and therefore the success of annual crops, such as chia (Salvia hispanica L.), whose seeds are known for their high nutritional value related to its oil. The effect of temperature on germination is related to cardinal-temperature concepts that describe the range of temperature over which seeds of a particular species can germinate. Therefore, in this study, in addition to calculated germinative parameters such as total germination and germination rate of S. hispanica seeds, the effectiveness of non-linear models for estimating the cardinal temperatures of chia seeds was also determined. We observed that germination of S. hispanica occurred in cold to moderate-high temperatures (10–35 °C), having an optimal range between 25 and 35 °C, with the highest GR and t(50) at 30 °C. Temperatures higher than 35 °C significantly reduced germination. Output parameters of the different non-linear models showed that the response of chia germination to temperature was best explained by beta models (B). Cardinal temperatures calculated by the B1 model for chia germination were: 2.52 ± 6.82 °C for the base, 30.45 ± 0.32 °C for the optimum, and 48.58 ± 2.93 °C for the ceiling temperature. |
format | Online Article Text |
id | pubmed-9105696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91056962022-05-14 Quantifying Cardinal Temperatures of Chia (Salvia hispanica L.) Using Non-Linear Regression Models Cabrera-Santos, Daniel Ordoñez-Salanueva, Cesar A. Sampayo-Maldonado, Salvador Campos, Jorge E. Orozco-Segovia, Alma Flores-Ortiz, Cesar M. Plants (Basel) Article Temperature is the main factor that impacts germination and therefore the success of annual crops, such as chia (Salvia hispanica L.), whose seeds are known for their high nutritional value related to its oil. The effect of temperature on germination is related to cardinal-temperature concepts that describe the range of temperature over which seeds of a particular species can germinate. Therefore, in this study, in addition to calculated germinative parameters such as total germination and germination rate of S. hispanica seeds, the effectiveness of non-linear models for estimating the cardinal temperatures of chia seeds was also determined. We observed that germination of S. hispanica occurred in cold to moderate-high temperatures (10–35 °C), having an optimal range between 25 and 35 °C, with the highest GR and t(50) at 30 °C. Temperatures higher than 35 °C significantly reduced germination. Output parameters of the different non-linear models showed that the response of chia germination to temperature was best explained by beta models (B). Cardinal temperatures calculated by the B1 model for chia germination were: 2.52 ± 6.82 °C for the base, 30.45 ± 0.32 °C for the optimum, and 48.58 ± 2.93 °C for the ceiling temperature. MDPI 2022-04-22 /pmc/articles/PMC9105696/ /pubmed/35567143 http://dx.doi.org/10.3390/plants11091142 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cabrera-Santos, Daniel Ordoñez-Salanueva, Cesar A. Sampayo-Maldonado, Salvador Campos, Jorge E. Orozco-Segovia, Alma Flores-Ortiz, Cesar M. Quantifying Cardinal Temperatures of Chia (Salvia hispanica L.) Using Non-Linear Regression Models |
title | Quantifying Cardinal Temperatures of Chia (Salvia hispanica L.) Using Non-Linear Regression Models |
title_full | Quantifying Cardinal Temperatures of Chia (Salvia hispanica L.) Using Non-Linear Regression Models |
title_fullStr | Quantifying Cardinal Temperatures of Chia (Salvia hispanica L.) Using Non-Linear Regression Models |
title_full_unstemmed | Quantifying Cardinal Temperatures of Chia (Salvia hispanica L.) Using Non-Linear Regression Models |
title_short | Quantifying Cardinal Temperatures of Chia (Salvia hispanica L.) Using Non-Linear Regression Models |
title_sort | quantifying cardinal temperatures of chia (salvia hispanica l.) using non-linear regression models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105696/ https://www.ncbi.nlm.nih.gov/pubmed/35567143 http://dx.doi.org/10.3390/plants11091142 |
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