Understanding and Improving Crop Productivity under Current Climate Change Scenario
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Production".
Deadline for manuscript submissions: closed (25 February 2023) | Viewed by 13941
Special Issue Editors
2. Tasmanian Institute of Agriculture, University of Tasmania, Hobart, TAS 7001, Australia
Interests: eco-physiology and climate change; experimental methodology development; nutrient metabolism and translocation in plants; plant productivity and sustainable agriculture; plant molecular physiology
Special Issues, Collections and Topics in MDPI journals
Interests: crop cultivation and farming system; plant nutrition; plant-soil interaction allelopathy; stress physiology; crop modeling
Interests: legumes; germplasm characterization; molecular breeding; molecular genetics; genetic diversity; molecular markers; genome-wide association studies (GWAS); marker-assisted breeding; QTL mapping; DNA studies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Agriculture will face a difficult challenge over the next 20 years. Due to the rapid increase in the world’s population, the current trend suggests that there will be an increased global food demand. Therefore, there is a need to produce more food on the same amount of cultivated land, or less. In addition, crop production needs to be achieved in a sustainable way, without polluting the environment, and without reducing the income of farmers. However, the level of climate change projected will increase the vulnerability of agricultural production, with the projected impacts being positive or negative depending on the geographical location. The impacts and adaptations have been studied using several methodologies, such as process-based models, agro-ecosystem models, and statistical models based on historical data.
At a global level, over the last few decades, attempts have been made to tackle and improve biotic and abiotic stress tolerance in a variety of crops using morphological and biochemical traits. The available literature reports several key mechanistic approaches and factors that can improve stress tolerance. However, adequate information is not available for the current climate change scenario, where the occurrence of one factor or the occurrence of multiple factors is highly unpredictable. The resulting aggravate stress can induce a reduction in the crop yield. These stresses include water deficit conditions in sand loamy soils, a nitrogen deficiency with high wind or excessive rain, a greater plant height with excessive N application, a higher N application along with weed infestation or pest attack. Thus, there is a need to develop new crop varieties, agronomic techniques, and crop models to understand and improve stress tolerance. Plant growth regulators play a vital role in regulating numerous physiological and molecular mechanisms under changing climatic conditions. Several crop models are being used in different crops to simulate lodging; however, the calibration and practical application of these models still need to be evaluated under different climatic conditions.
For this Special Issue on ‘Understanding and improving crop productivity under the current climate change scenario’, we are looking for papers that enhance our understanding of lodging in plants, introduce novel technologies and practices that improve stress tolerance as well as discuss opportunities for maximizing agricultural productivity. Moreover, critical reviews and original research articles that address the potential role of breeding methods, and crop models in understanding and tackling stress-induced adversities in plants are welcome.
Dr. Mohsin Tanveer
Dr. Adnan Noor Shah
Dr. Muhammad Azhar Nadeem
Guest Editors
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Keywords
- crop models and lodging
- plant population and nitrogen
- plant nutrition and stress tolerance
- root diseases and plant protection
- varietal difference of stress tolerance
- cover crops and crop system
- halophytes as a key source of gene identification
- biotechnology interventions
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