Can soil fertility properties in rice fields in sub-Saharan Africa be predicted by digital soil information? A case study of AfSoilGrids250m-Reference-Cited by-同舟云学术

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Can soil fertility properties in rice fields in sub-Saharan Africa be predicted by digital soil information? A case study of AfSoilGrids250m

Published:2022-09 Issue: Volume:30 Page:e00563
ISSN:2352-0094
Container-title:Geoderma Regional
language:en
Short-container-title:Geoderma Regional

Author:

Djagba Justin Fagnombo,Johnson Jean-Martial,Saito Kazuki

Funder

Consortium of International Agricultural Research Centers

Asian Development Bank

International Fund for Agricultural Development

African Development Bank Tunisia

European Commission

Publisher

Elsevier BV

Subject

Soil Science

Reference76 articles.

1. High-Resolution 3-D Mapping of Soil Texture in Denmark;Adhikari;Soil Sci. Soc. Am. J.,2013

2. GlobalSoilMap;Arrouays,2014

3. Soil legacy data rescue via GlobalSoilMap and other international and national initiatives;Arrouays;GeoResJ,2017

4. Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019);Batjes;Earth Syst. Sci. Data,2020

5. Carbon losses from all soils across England and Wales 1978–2003;Bellamy;Nature,2005

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling the Impact of Urban and Industrial Pollution on the Quality of Surface Water in Intermittent Rivers in a Semi-Arid Mediterranean Climate;Hydrology;2024-09-11

2. Status quo and challenges of rice production in sub-Saharan Africa;Plant Production Science;2023-07-03

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