官方服务:
资源简介:
16S gene sequencing in 3-year different tillage practices
应用场景:
创建时间:
2022-02-09
相关数据集
10-30m农田地块、作物分布及大豆单产(2022年东北黑土区某区域)数据集
耕地质量评估 通过精准的作物分布数据,可以分析不同区域的土壤利用程度和作物生长对土壤质量的影响,为耕地质量评估提供科学依据 种植结构变化分析 高精度数据使得识别区域内种植结构的微小变化成为可能,帮助分析不同作物轮作、间作及其带来的经济和生态效益。 粮食产量审核督查 精确的作物分布数据是进行粮食产量估算的重要基础,此外也可用于识别作物生长季的异常情况,提示潜在的减产风险,为粮食安全管理提供预警。 全
北京市数据知识产权2025-07-17 更新240
"Antibiotics under our feet" Full Bioinformatics Output (Batch 2)
The attached data files are the full bioinformatics output for the first six soil samples collected during the University of St Andrews "Antibiotics under our feet" citizen science project funded by a
DataCite Commons2024-01-18 更新60
microbial community from five season mono-planting of tomato. soil metagenome
In this study, we conducted a field experiment by mono-planting tomato for five-season and tomato biomass, yield, bacterial wilt of tomato suppression were determined to evaluate the effects of BIOs a
NIAID Data Ecosystem50
Management practices of legume crop residues. soil metagenome
Different legume fallow crops and residue management practices may have different effects on soil microorganisms that drive N transformations. We aim to study the effect of legumes rotation and residu
NIAID Data Ecosystem80
Garden Microbiome
Soil from various sites and depths were collected by a local group of master gardeners. Both bacterial and fungal microbiomes were determined, in relation to chemical properties of the soil.
NIAID Data Ecosystem60



