Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Soil pot experiment

ABSTRACT: Soil pot experiment Raw sequence reads

PROVIDER: PRJNA1094631 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29355244_1.fastq.gz	Fastqsanger.gz
	SRR29355244_2.fastq.gz	Fastqsanger.gz
	SRR29355245_1.fastq.gz	Fastqsanger.gz
	SRR29355245_2.fastq.gz	Fastqsanger.gz
	SRR29355246_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

pot experiment

Project description:pot experiment Raw sequence reads

| PRJNA388034 | ENA

Wheat pot experiment bacteria microbiome

Project description:Wheat pot experiment bacteria microbiome Raw sequence reads

| PRJNA680908 | ENA

Soil AMF hyphosphere (pot experiment)

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

| PRJNA592712 | 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

Soil Health Experiment 2018, 2019

Project description:Soil Health Experiment 2018, 2019 Raw sequence reads

| PRJNA870764 | ENA

Fengqiu N depisition experiment soil sample

Project description:Fengqiu N depisition experiment soil sample Raw sequence reads

| PRJNA794019 | ENA

soil in 10-year fallow (burning experiment)

Project description:soil in 10-year fallow (burning experiment) Raw sequence reads

| PRJNA1001269 | ENA

Biomass experiment

Project description:Biomass experiment Raw sequence reads