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Journal Article 2016

Autor: Söderström, Mats Piikki, Kristin Cordingley, Jeremy

The usefulness of a continental digital soil map (AfSoilGrids250) was investigated at two levels relevant for agricultural fertiliser recommendations in Rwanda (point locations and administrative sector unit averages). Analysis of 900 soil samples for pH and soil organic carbon (SOC) revealed tha...

Enlace original: https://cgspace.cgiar.org/handle/10568/76687

Investigación en Agricultura
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Söderström, Mats ,  Piikki, Kristin ,  Cordingley, Jeremy ,  [Improved usefulness of continental soil databases for agricultural management through local adaptation] ,  Improved usefulness of continental soil databases for agricultural management through local adaptation
Conference Paper 2015

Autor: Piikki, K Winowiecki, Leigh A. Vågen, Tor-Gunnar Parker, L Söderström, Mats
Enlace original: https://cgspace.cgiar.org/handle/10568/68000

Investigación en Agricultura
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Piikki, K ,  Winowiecki, Leigh A. ,  Vågen, Tor-Gunnar ,  Parker, L ,  Söderström, Mats ,  [The importance of soil fertility constraints in modeling crop suitability under progressive climate change in Tanzania] ,  The importance of soil fertility constraints in modeling crop suitability under progressive climate change in Tanzania
Journal Article 2017

Autor: Piikki, Kristin Winowiecki, Leigh A. Vågen, Tor-Gunnar Ramírez Villegas, Julián Söderström, Mats

Climate change is projected to have widespread impacts on the climate suitability and geographical distribution of agricultural crops. Simulations were conducted on the suitability of common beans (Phaseolus vulgaris L.) in Tanzania under progressive climate change, taking into account a soil fer...

Enlace original: https://cgspace.cgiar.org/handle/10568/80451

Investigación en Agricultura
Enlace permanente
Piikki, Kristin ,  Winowiecki, Leigh A. ,  Vågen, Tor-Gunnar ,  Ramírez Villegas, Julián ,  Söderström, Mats ,  [Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania] ,  Improvement of spatial modelling of crop suitability using a new digital soil map of Tanzania

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