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NAWAR, S

Nezomba, H

Nabintu, B.N

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Authors

Nezomba, H

Ndeko, A.B

Chuma, G.B

Mondo, J.M

Nabintu, B.N

Mushagalusa, G.N

NAWAR, S

Topics

Precision Nutrient Management

Type

Oral

Poster

Year

2020

2022

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Authors

Filter results3 paper(s) found.
1. Sequencing integrated soil fertility management options for improved crop productivity and nutrient use efficiency on sandy soils Maintaining high use efficiency of nutrient resources available to farmers is key to sustainable intensification of African smallholder farms. Multi-locational on-farm experiments were conducted on degraded sandy soils (< 10 % clay) in eastern Zimbabwe over 4 cropping seasons to evaluate different manure-, fertilizer- and legume-based integrated soil fertility management (ISFM) options with respect to maize productivity and, fertilizer nitrogen (N) and phosphorus (P) use efficiency.... H. Nezomba
2. Field Performance of Common Bean (Phaseolus Vulgaris L) Under Mycorrhizal Inoculation and Phosphorus Level Application in Kashusha, Eastern Drc The positive effects of arbuscular mycorrhizal fungi (AMF) on yield and phosphorus uptake have already been widely studied. However, the response of common bean (Phaseolus vulgaris L) to mycorrhizal inoculation and phosphorus supply is still poorly documented in South Kivu where the use of fungal biofertilizers is not yet tested. This study was initiated to determine the effect of mycorrhizal inoculation and increasing doses of phosphorus on common bean performance in South Kivu. The study was... A.B. Ndeko, G.B. Chuma, J.M. Mondo, B.N. Nabintu, G.N. Mushagalusa Download paper
3. Proximal Soil Sensing Combined with Machine Learning for Estimation and Management of Soil Potassium Site Specifically High-resolution data on soil potassium (K) is crucial to optimize variable rate potassium fertiliser recommendations and improve crop growth and yield. The portable X-ray fluorescence (PXRF) and portable gamma-ray spectroscopy (PGRS) enable onsite soil K analysis. However, using PXRF and PGRS often remains cumbersome, following the soil matrix's poor performance and complex nature, introducing background noise. The potential of spectral analysis based on machine learning (ML) combined with... S. Nawar

Filter results3 paper(s) found.

1. Sequencing integrated soil fertility management options for improved crop productivity and nutrient use efficiency on sandy soils

Maintaining high use efficiency of nutrient resources available to farmers is key to sustainable intensification of African smallholder farms. Multi-locational on-farm experiments were conducted on degraded sandy soils (< 10 % clay) in eastern Zimbabwe over 4 cropping seasons to evaluate different manure-, fertilizer- and legume-based integrated soil fertility management (ISFM) options with respect to maize productivity and, fertilizer nitrogen (N) and phosphorus (P) use efficiency.... H. Nezomba

2. Field Performance of Common Bean (Phaseolus Vulgaris L) Under Mycorrhizal Inoculation and Phosphorus Level Application in Kashusha, Eastern Drc

The positive effects of arbuscular mycorrhizal fungi (AMF) on yield and phosphorus uptake have already been widely studied. However, the response of common bean (Phaseolus vulgaris L) to mycorrhizal inoculation and phosphorus supply is still poorly documented in South Kivu where the use of fungal biofertilizers is not yet tested. This study was initiated to determine the effect of mycorrhizal inoculation and increasing doses of phosphorus on common bean performance in South Kivu. The study was... A.B. Ndeko, G.B. Chuma, J.M. Mondo, B.N. Nabintu, G.N. Mushagalusa

Download paper

3. Proximal Soil Sensing Combined with Machine Learning for Estimation and Management of Soil Potassium Site Specifically

High-resolution data on soil potassium (K) is crucial to optimize variable rate potassium fertiliser recommendations and improve crop growth and yield. The portable X-ray fluorescence (PXRF) and portable gamma-ray spectroscopy (PGRS) enable onsite soil K analysis. However, using PXRF and PGRS often remains cumbersome, following the soil matrix's poor performance and complex nature, introducing background noise. The potential of spectral analysis based on machine learning (ML) combined with... S. Nawar