Clustering of the chemical properties of small‐scale farm soils to develop fertilizer blend ratios

Crop management through site‐specific fertility methods is crucial for both economic and environmental benefits. Potato‐specific fertilizer has not been fully established in Kenya, and the current fertilizer recommendation has been in place for a long time. A study was designed through soil sampling...

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Published inAgrosystems, geosciences & environment Vol. 7; no. 1
Main Authors Mugo, James N., Karanja, Nancy N., Gachene, Charles K., Dittert, Klaus, Schulte‐Geldermann, Elmar
Format Journal Article
LanguageEnglish
Published Hoboken John Wiley & Sons, Inc 01.03.2024
Wiley
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ISSN2639-6696
2639-6696
DOI10.1002/agg2.20468

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Abstract Crop management through site‐specific fertility methods is crucial for both economic and environmental benefits. Potato‐specific fertilizer has not been fully established in Kenya, and the current fertilizer recommendation has been in place for a long time. A study was designed through soil sampling from small‐scale farms to make a soil‐based fertilizer recommendation for potato production. Inverse distance weighting interpolation was used to study spatial distribution of pH and major nutrients. Cluster analysis was used to group sampled farms into similar fertility clusters for easier fertilizer recommendations. Spatial distribution maps were identified for the project area. Three and four clusters were established in Meru and Nyandarua counties, respectively, among which three had adequate nutrients for potato production. At least 150 kg N ha −1 is recommended in most of the farms and 160 kg P ha −1 in Nyandarua, while 285 kg K ha −1 was recommended in one of the clusters (nitrogen, phosporus, potassium [NPK] 1:1:1.5). Cluster analysis can be used to enhance fertilizer recommendations. The assumption that K is adequate in tropical soil should not be generalized. Fertilizers in the market with formulations close to the recommended ones should be evaluated for field performances and adjustment of the final potato fertilizer. Inverse distance weighing interpolation clearly showed spatial distribution of pH and major soil chemical properties for better fertility management. Cluster analysis of soil chemical properties was able to delineate farms that could have the same fertilizer recommendation. There is a need for different fertilizer recommendations between Meru and Nyandarua.
AbstractList Crop management through site-specific fertility methods is crucial for both economic and environmental benefits. Potato-specific fertilizer has not been fully established in Kenya, and the current fertilizer recommendation has been in place for a long time. A study was designed through soil sampling from small-scale farms to make a soil-based fertilizer recommendation for potato production. Inverse distance weighting interpolation was used to study spatial distribution of pH and major nutrients. Cluster analysis was used to group sampled farms into similar fertility clusters for easier fertilizer recommendations. Spatial distribution maps were identified for the project area. Three and four clusters were established in Meru and Nyandarua counties, respectively, among which three had adequate nutrients for potato production. At least 150 kg N ha−1 is recommended in most of the farms and 160 kg P ha−1 in Nyandarua, while 285 kg K ha−1 was recommended in one of the clusters (nitrogen, phosporus, potassium [NPK] 1:1:1.5). Cluster analysis can be used to enhance fertilizer recommendations. The assumption that K is adequate in tropical soil should not be generalized. Fertilizers in the market with formulations close to the recommended ones should be evaluated for field performances and adjustment of the final potato fertilizer.
Abstract Crop management through site‐specific fertility methods is crucial for both economic and environmental benefits. Potato‐specific fertilizer has not been fully established in Kenya, and the current fertilizer recommendation has been in place for a long time. A study was designed through soil sampling from small‐scale farms to make a soil‐based fertilizer recommendation for potato production. Inverse distance weighting interpolation was used to study spatial distribution of pH and major nutrients. Cluster analysis was used to group sampled farms into similar fertility clusters for easier fertilizer recommendations. Spatial distribution maps were identified for the project area. Three and four clusters were established in Meru and Nyandarua counties, respectively, among which three had adequate nutrients for potato production. At least 150 kg N ha−1 is recommended in most of the farms and 160 kg P ha−1 in Nyandarua, while 285 kg K ha−1 was recommended in one of the clusters (nitrogen, phosporus, potassium [NPK] 1:1:1.5). Cluster analysis can be used to enhance fertilizer recommendations. The assumption that K is adequate in tropical soil should not be generalized. Fertilizers in the market with formulations close to the recommended ones should be evaluated for field performances and adjustment of the final potato fertilizer.
Crop management through site‐specific fertility methods is crucial for both economic and environmental benefits. Potato‐specific fertilizer has not been fully established in Kenya, and the current fertilizer recommendation has been in place for a long time. A study was designed through soil sampling from small‐scale farms to make a soil‐based fertilizer recommendation for potato production. Inverse distance weighting interpolation was used to study spatial distribution of pH and major nutrients. Cluster analysis was used to group sampled farms into similar fertility clusters for easier fertilizer recommendations. Spatial distribution maps were identified for the project area. Three and four clusters were established in Meru and Nyandarua counties, respectively, among which three had adequate nutrients for potato production. At least 150 kg N ha −1 is recommended in most of the farms and 160 kg P ha −1 in Nyandarua, while 285 kg K ha −1 was recommended in one of the clusters (nitrogen, phosporus, potassium [NPK] 1:1:1.5). Cluster analysis can be used to enhance fertilizer recommendations. The assumption that K is adequate in tropical soil should not be generalized. Fertilizers in the market with formulations close to the recommended ones should be evaluated for field performances and adjustment of the final potato fertilizer. Inverse distance weighing interpolation clearly showed spatial distribution of pH and major soil chemical properties for better fertility management. Cluster analysis of soil chemical properties was able to delineate farms that could have the same fertilizer recommendation. There is a need for different fertilizer recommendations between Meru and Nyandarua.
Author Dittert, Klaus
Karanja, Nancy N.
Gachene, Charles K.
Schulte‐Geldermann, Elmar
Mugo, James N.
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– ident: e_1_2_11_66_1
  doi: 10.3390/su12145809
– volume-title: Soil suitability evaluation for maize production in Kenya
  year: 2014
  ident: e_1_2_11_25_1
– ident: e_1_2_11_31_1
  doi: 10.1016/B978-0-08-044894-7.01315-4
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Snippet Crop management through site‐specific fertility methods is crucial for both economic and environmental benefits. Potato‐specific fertilizer has not been fully...
Crop management through site-specific fertility methods is crucial for both economic and environmental benefits. Potato-specific fertilizer has not been fully...
Abstract Crop management through site‐specific fertility methods is crucial for both economic and environmental benefits. Potato‐specific fertilizer has not...
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Aggregation Database
Index Database
SubjectTerms Agriculture
Analytical chemistry
Chemical properties
Cluster analysis
Clustering
Clusters
Crop management
Environmental management
Farmers
Farms
Fertilizers
Formulations
Nutrients
Potatoes
Ratios
Small farms
Small-scale farming
Soil analysis
Soil chemistry
Soil fertility
Soil properties
Soil sampling
Soil testing
Spatial distribution
Tropical environments
Tropical soils
Vegetables
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Title Clustering of the chemical properties of small‐scale farm soils to develop fertilizer blend ratios
URI https://www.proquest.com/docview/3084290329
https://doaj.org/article/81a450e9d8c943e4b5ee4f82c8e9c12c
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