Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Plant influence on nitrification

View through CrossRef
Modern agriculture has promoted the development of high-nitrification systems that are susceptible to major losses of nitrogen through leaching of nitrate and gaseous emissions of nitrogen oxide (NO and N2O), contributing to global warming and depletion of the ozone layer. Leakage of nitrogen from agricultural systems forces increased use of nitrogen fertilizers and causes water pollution and elevated costs of food production. Possible strategies for prevention of these processes involve various agricultural management approaches and use of synthetic inhibitors. Growing plants capable of producing nitrification suppressors could become a potentially superior method of controlling nitrification in the soil. There is a need to investigate the phenomenon of biological nitrification inhibition in arable crop species.
Title: Plant influence on nitrification
Description:
Modern agriculture has promoted the development of high-nitrification systems that are susceptible to major losses of nitrogen through leaching of nitrate and gaseous emissions of nitrogen oxide (NO and N2O), contributing to global warming and depletion of the ozone layer.
Leakage of nitrogen from agricultural systems forces increased use of nitrogen fertilizers and causes water pollution and elevated costs of food production.
Possible strategies for prevention of these processes involve various agricultural management approaches and use of synthetic inhibitors.
Growing plants capable of producing nitrification suppressors could become a potentially superior method of controlling nitrification in the soil.
There is a need to investigate the phenomenon of biological nitrification inhibition in arable crop species.

Related Results

Plant Phenotyping: Past, Present, and Future
Plant Phenotyping: Past, Present, and Future
A plant develops the dynamic phenotypes from the interaction of the plant with the environment. Understanding these processes that span plant’s lifetime in a permanently changing e...
Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review
Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review
Plant phenotyping has been recognized as a bottleneck for improving the efficiency of breeding programs, understanding plant-environment interactions, and managing agricultural sys...
KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes
KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes
High-throughput phenotyping enables the efficient collection of plant trait data at scale. One example involves using imaging systems over key phases of a crop growing season. Alth...
Introduction: Plant Performance
Introduction: Plant Performance
Plants perform their own interests and purposes. Plants perform in ways that afford and invite specific human experiences. Plants also perform complex biopolitical roles. With thes...
Investigation of a basic nitrification–denitrification biofiltration system for primary wastewater treatment
Investigation of a basic nitrification–denitrification biofiltration system for primary wastewater treatment
Abstract The study aimed to eliminate the nitrogen and its main residual forms from municipal wastewater by using a biofilter system adapted for a sm...
A Statistical Growth Property of Plant Root Architectures
A Statistical Growth Property of Plant Root Architectures
Numerous types of biological branching networks, with varying shapes and sizes, are used to acquire and distribute resources. Here, we show that plant root and shoot architectures ...
A Reflection of Thai Culture in Thai Plant Names
A Reflection of Thai Culture in Thai Plant Names
The present study focuses on the plant naming system in the Thai language based on 1) Brent Berlin’s general principles of categorization of plants and animals in traditional socie...
How Convolutional Neural Networks Diagnose Plant Disease
How Convolutional Neural Networks Diagnose Plant Disease
Deep learning with convolutional neural networks (CNNs) has achieved great success in the classification of various plant diseases. However, a limited number of studies have elucid...

Back to Top