Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Maize pot

ABSTRACT: Maize pot Metagenome

PROVIDER: PRJNA825283 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18706664_1.fastq.gz	Fastqsanger.gz
	SRR18706664_2.fastq.gz	Fastqsanger.gz
	SRR18706665_1.fastq.gz	Fastqsanger.gz
	SRR18706665_2.fastq.gz	Fastqsanger.gz
	SRR18706666_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 56

Similar Datasets

Tall fescue pot

Project description:Tall fescue pot Metagenome

| PRJNA825301 | ENA

pot disturbance

Project description:pot disturbance

| PRJEB15446 | ENA

pot experiment

Project description:pot experiment Raw sequence reads

| PRJNA388034 | ENA

Soil pot experiment

Project description:Soil pot experiment Raw sequence reads

| PRJNA1094631 | ENA

One-Pot

Project description:Data files and supplementary data associated with the one-pot method. These files are the results of one-pot enrichment of both acetylated and succinylated peptides.

2017-12-08 | MSV000081794 | MassIVE

Maize rhizosphere metagenome

Project description:Maize rhizosphere metagenome Metagenome

| PRJNA607213 | ENA

Soil AMF hyphosphere (pot experiment)

Project description:Transcriptome of AMF hyphospheric soil (pot experiment)

| PRJNA592712 | ENA

Wheat pot experiment bacteria microbiome

Project description:Wheat pot experiment bacteria microbiome Raw sequence reads

| PRJNA680908 | ENA

iPOTs: Internet of Things-based pot system controlling optional treatment of soil water condition for plant phenotyping under drought stress

Project description:A cultivation facility that can assist users in controlling the soil water condition is needed for accurately phenotyping plants under drought stress in an artificial environment. Here we report the Internet of Things (IoT)-based pot system controlling optional treatment of soil water condition (iPOTs), an automatic irrigation system that mimics the drought condition in a growth chamber. The Wi-Fi-enabled iPOTs system allows water supply from the bottom of the pot, based on the soil water level set by the user, and automatically controls the soil water level at a desired depth. The iPOTs also allows users to monitor environmental parameters, such as soil temperature, air temperature, humidity, and light intensity, in each pot. To verify whether the iPOTs mimics the drought condition, we conducted a drought stress test on rice varieties and near-isogenic lines, with diverse root system architecture, using the iPOTs system installed in a growth chamber. Similar to the results of a previous drought stress field trial, the growth of shallow-rooted rice accessions was severely affected by drought stress compared with that of deep-rooted accessions. The microclimate data obtained using the iPOTs system increased the accuracy of plant growth evaluation. Transcriptome analysis revealed that pot positions in the growth chamber had little impact on plant growth. Together, these results suggest that the iPOTs system represents a reliable platform for phenotyping plants under drought stress.

2021-08-24 | GSE171578 | GEO

Maize salinity stress Metagenome

Project description:Maize salinity stress Metagenome Metagenome

| PRJNA427498 | ENA