Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

What is Climate?

What is Climate?

Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

Responses to Heat and Cold Stress

Responses to Heat and Cold Stress

Every organism has an optimum temperature range within which healthy growth and physiological functioning can occur. At the ends of this range, there will be a minimum and maximum temperature that interrupt biological processes.

Responses to Drought and Flooding

Responses to Drought and Flooding

Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.

Adaptations that Reduce Water Loss

Adaptations that Reduce Water Loss

Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

[Spatial Distribution and Source Analysis of Heavy Metals in Multiple Environmental Media Around a Waste Incineration Plant in Jiangxi, China].

Huan jing ke xue= Huanjing kexue·2026

Same author

Why do adolescents hurt themselves? A qualitative study.

International journal of nursing studies·2025

Same author

Sperm DNA fragmentation index did not associate with assisted reproductive outcomes: a cohort retrospective study of 5784 IVF/ICSI cycles.

Journal of assisted reproduction and genetics·2025

Same author

The Factors of Adolescent Depression in Jiangsu Province, China, from the Perspective of Social Ecosystem: A Case-Control Study.

Depression and anxiety·2025

Same author

Inhibition of IP3 (Inositol 1,4,5-Trisphosphate) Receptors Retards SARS-CoV-2-Induced Endothelial von Willebrand Factor Secretion and Thrombosis.

Thrombosis and haemostasis·2025

Same author

Behavioral and psychosocial factors associated with suicidal ideation in adolescents with depression: An ecological model of health behavior.

Journal of psychiatric research·2024

Search research articles

Related Experiment Video

Updated: May 2, 2026

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

[Climatic suitability model for spring maize in Northeast China].

Ying-Yu Hou¹, Yan-Hong Zhang², Liang-Yu Wang²

¹National Meteorological Center, China Meteorological Administration, Beijing 100081, China. yyhou@cma.gov.cn

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology

|February 26, 2014

Summary

This study developed a daily climatic suitability model for spring maize, showing significant positive correlations with crop height and grain mass. The model accurately reflects crop growth responses to meteorological factors throughout the growing season.

More Related Videos

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.

Published on: June 16, 2018

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Published on: July 29, 2019

Related Experiment Videos

Last Updated: May 2, 2026

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.

Published on: June 16, 2018

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Published on: July 29, 2019

Area of Science:

Agricultural Meteorology
Crop Physiology

Context:

Crop growth is dynamic, requiring continuously updated meteorological indices for optimal assessment.
Existing models may not capture the daily variability of meteorological factors influencing crop development.

Purpose:

To develop daily estimation algorithms for precipitation and temporal interpolation methods for meteorological indices.
To establish and validate a daily scale climatic suitability model for spring maize.

Summary:

Developed algorithms for daily precipitation estimation and meteorological index interpolation.
Established a daily climatic suitability model tested with spring maize data from Northeast China.
The model demonstrated significant positive correlations with spring maize height (R2 > 0.58 vegetative, R2 > 0.45 reproductive) and 100-grain mass.

Impact:

Provides an objective tool to assess crop growth and meteorological interactions at a daily scale.
Enhances understanding of climate impacts on crop development for improved agricultural management.
Supports precision agriculture by offering dynamic suitability assessments for spring maize cultivation.