Improving fertilizer response of crop yield through liming and targeting to landscape positions in tropical agricultural soils

Heliyon, Journal Year: 2023, Volume and Issue: 9(6), P. e17421 - e17421

Published: June 1, 2023

Nutrient management research was conducted across locations to investigate the influence of landscape position (hill, mid-, and foot slope) in teff (Eragrostis tef) wheat (Triticum aestivum) yield response fertilizer application liming 2018 2019 cropping seasons. The treatments included 1) NPS as a control treatment (42 N + 10P 4.2S kg ha−1 for 65 20P 8.5S wheat); 2) potassium (73 17P 7.2S 24 K 103 30P 12.7S wheat) 3) NPSK zinc 24K 5.3Zn 5,3Zn acid soils with without liming. Results showed that highest grain yields 1512 4252 were obtained at slope position, respective increments 71% 57% over hillslope position. Yield significantly decreased increasing owing decrease soil organic carbon water content increase acidity. lime NPSKZn increased by 43–54% 32–35%, respectively compared where associated P nutrients. Orthogonal contrasts revealed application, their interaction effects significant on yields. Soil properties including pH, carbon, total N, down slope, which might be attributed sedimentation slope. However, available is yet very low both acidic non-acidic soils. We conclude crop applied nutrients could enhanced targeting nutrient practices agricultural features addressing other yield-limiting factors such acidity availability conducting further research.

Language: Английский

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Developing a nitrogen application estimation model for diverse wheat fields: A user-friendly approach for smallholder nitrogen fertilizer recommendations

European Journal of Agronomy, Journal Year: 2023, Volume and Issue: 151, P. 126984 - 126984

Published: Sept. 27, 2023

Language: Английский

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Agronomic management response in maize (Zea mays L.) production across three agroecological zones of Kenya

Agrosystems Geosciences & Environment, Journal Year: 2024, Volume and Issue: 7(1)

Published: Feb. 20, 2024

Abstract Maize ( Zea mays L.) productivity in Kenya has witnessed a decline attributed to the effects of climate change and biophysical constraints. The assessment agronomic practices across agroecological zones (AEZs) is limited by inadequate data quality, hindering precise evaluation maize yield on large scale. In this study, we employed DSSAT‐CERES‐Maize crop model (where CERES Crop Environment Resource Synthesis DSSAT Decision Support System for Agrotechnology Transfer) investigate impacts different AEZs two counties Kenya. was calibrated evaluated with observed grain yield, biomass, leaf area index, phenology, soil water content from 2‐year experiments. Remote sensing (RS) images derived Sentinel‐2 satellite were integrated delineate areas, resulting information merged simulations. This facilitated comprehensive quantification various measures at pixel scales. Evaluation revealed that sowing dates cultivar types significantly influenced AEZs. Notably, AEZ II III exhibited elevated yields when implementing combined early H614. optimal management varied AEZs, increases 81, 115, 202 kg ha −1 I, II, III, respectively. study underscores potential CERES‐Maize high‐resolution RS estimating production larger Furthermore, approach holds promise supporting agricultural decision‐making designing strategies enhance while accounting site‐specific conditions.

Language: Английский

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Site-specific fertilizer recommendation using data driven machine learning enhanced wheat productivity and resource use efficiency

Field Crops Research, Journal Year: 2024, Volume and Issue: 313, P. 109413 - 109413

Published: May 17, 2024

Language: Английский

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Site-Specific Nitrogen Fertilizer Management Using Canopy Reflectance Sensors, Chlorophyll Meters and Leaf Color Charts: A Review

Nitrogen, Journal Year: 2024, Volume and Issue: 5(4), P. 828 - 856

Published: Sept. 27, 2024

The efficient management of nitrogen (N) on a site-specific basis is critical for the improvement crop yield and reduction environmental impacts. This review examines application three primary technologies—canopy reflectance sensors, chlorophyll meters, leaf color charts—in context N fertilizer management. It delves into development effectiveness these tools in assessing managing status. Reflectance which measure reflection light at specific wavelengths, provide valuable data plant stress variability. advent innovative sensor technology, exemplified by GreenSeeker, Crop Circle Yara N-Sensor, has facilitated real-time monitoring precise adjustments application. Chlorophyll including SPAD meter atLeaf meter, quantify content thereby estimate levels. indirect yet effective method fertilization based principle that concentration leaves proportional to content. These meters have become an indispensable component precision agriculture due their accuracy ease use. Leaf charts, while less sophisticated, offer cost-effective straightforward approach visual assessment, particularly developing regions. synthesizes research implementation technologies, emphasizing benefits, constraints, practical implications. Additionally, it explores integration strategies combining enhance use efficiency sustainability agriculture. culminates with recommendations future further refine efficacy practices.

Language: Английский

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