Related Experiment Video
Updated: Sep 23, 2025
07:08
Identification of Novel Regulators of Plant Transpiration by Large-Scale Thermal Imaging Screening in Helianthus Annuus
Published on: January 30, 2020
6.1K
Quantifying Cardinal Temperatures of Chia (Salvia hispanica L.) Using Non-Linear Regression Models
Daniel Cabrera-Santos1, Cesar A Ordoñez-Salanueva1, Salvador Sampayo-Maldonado1
1Laboratorio de Fisiología Vegetal, Unidad de Biología, Tecnología y Prototipos (UBIPRO), Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Av. de los Barrios No. 1, Los Reyes Iztacala, Tlalnepantla C.P. 54090, Mexico.
Plants (Basel, Switzerland)
|May 14, 2022
Summary
Chia seed germination thrives in temperatures between 10-35°C, with an optimal range of 25-35°C. Non-linear beta models accurately determined the base, optimum, and ceiling temperatures for successful chia seed germination.
Area of Science:
- Agricultural Science
- Plant Physiology
- Seed Biology
Background:
- Temperature is a critical factor influencing the germination and crop success of annual plants like chia (Salvia hispanica L.).
- Chia seeds are recognized for their significant nutritional value, particularly their oil content.
- Understanding cardinal temperatures is essential for predicting and optimizing seed germination across different environments.
Purpose of the Study:
- To evaluate the germination parameters of chia seeds (Salvia hispanica L.) at various temperatures.
- To assess the effectiveness of non-linear models in estimating cardinal temperatures for chia seed germination.
- To determine the optimal temperature range for chia seed germination and its implications for crop success.
Main Methods:
- Chia seeds were subjected to a range of temperatures to measure total germination and germination rate.
- Non-linear regression models, specifically beta models, were employed to analyze temperature-dependent germination data.
- Cardinal temperatures (base, optimum, ceiling) were calculated using the B1 non-linear model.
Main Results:
- Chia seed germination occurred between 10°C and 35°C, with an optimal range identified between 25°C and 35°C.
- The highest germination rate (GR) and time to 50% germination (t50) were observed at 30°C.
- Temperatures exceeding 35°C led to a significant reduction in germination, while beta models effectively described the temperature response.
- Calculated cardinal temperatures using the B1 model were: base 2.52 ± 6.82°C, optimum 30.45 ± 0.32°C, and ceiling 48.58 ± 2.93°C.
Conclusions:
- The study successfully identified the cardinal temperatures for chia seed germination, providing valuable data for agricultural applications.
- Beta models proved effective in accurately predicting chia seed germination responses to temperature variations.
- Optimizing sowing temperatures within the determined range can enhance chia crop establishment and yield, leveraging its high nutritional value.
Related Concept Videos
02:46Quantifying Heat
56.7K
Thermal Energy Microscopically, thermal energy is the kinetic energy associated with the random motion of atoms and molecules. Temperature is a quantitative measure of “hot” or “cold”, which depends on the amount of thermal energy. When the atoms and molecules in an object are moving or vibrating quickly, they have a higher average kinetic energy (KE) (or higher thermal energy), and the object is perceived as “hot”, or it is described as being at a...
56.7K
01:11Regression Analysis
6.1K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
6.1K
01:22Thermometers and Temperature Scales
6.0K
Any physical property that depends consistently and reproducibly on temperature can be used as the basis of a thermometer. For example, volume increases with temperature for most substances. This property is the basis for the common alcohol thermometer and the original mercury thermometers. Other properties used to measure temperature include electrical resistance, color, and the emission of infrared radiation.
As many physical properties depend on temperature, the variety of thermometers is...
As many physical properties depend on temperature, the variety of thermometers is...
6.0K
01:19Assessing Body Temperature - Temporal Artery
694
Here is a stepwise guide to assessing the body temperature at the temporal artery using a temporal artery thermometer
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.
Step 3: Assess the patient's...
Step 1: Perform hand hygiene and don a fresh pair of gloves to prevent cross-infection and ensure patient safety.
Step 2: Explain the procedure to the patient to establish trust. Clear communication establishes trust with the patient, ensures they understand what to expect, promotes cooperation, and enhances comfort during the procedure.
Step 3: Assess the patient's...
694
01:25Multiple Regression
3.2K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.2K
01:14Temperature Measurement Sites
2.3K
A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
Oral: When assessing oral temperature, the thermometer tip should be placed under the tongue in the posterior sublingual pocket. It offers accurate readings and can be...
2.3K