Journal of Molecular Structure, Journal Year: 2024, Volume and Issue: 1315, P. 138806 - 138806
Published: May 31, 2024
Language: Английский
Journal of Molecular Structure, Journal Year: 2024, Volume and Issue: 1315, P. 138806 - 138806
Published: May 31, 2024
Language: Английский
Field Crops Research, Journal Year: 2025, Volume and Issue: 328, P. 109920 - 109920
Published: April 21, 2025
Language: Английский
Citations
0CABI Agriculture and Bioscience, Journal Year: 2024, Volume and Issue: 5(1)
Published: June 6, 2024
Abstract Background The dryland production environments in Niger Republic (Niger) generate variable crop risks that reduce yields and increase regional food insecurity. Optimal combinations of varieties management are needed to maximize water-limited these environments. Methods In this study, we calibrated validated the CERES-Millet model using data from field experiments. Seasonal analysis (1984–2020) was carried out 18 selected sites across three agroecological zones (AEZs) test effects plant density N fertilization on grain yield. treatment included five different densities (1.5, 3, 6, 9, 12 plants m −2 ) four rates (0, 20, 40, 60 kg ha −1 ). Three millet (CHAKTI, HKP, SOSAT-C88) were compared. Millet risk assessed at each AEZ cumulative probability distribution graphs. acceptable yield required compensate for minimum cost set 975 (75th percentile simulated data). Results reasonably reproduced number days flowering ( d -index > 0.50; RMSE < 2 days), maturity d- index 0.78; 100 all varieties. results showed there significant response (40 – 110% following application) (30–80% by increasing above 1.5 AEZs depending variety. SOSAT most responsive variety application AEZs. Under low (0–20 (1.5—3 moderate (6 ), CHAKTI HKP had highest risks. Increasing 20 mitigate where threshold representing more than 50% years under except Sahel only achieved 20% years. AEZs, 6 increases application, but downside mitigated when applied high rates. Conclusion This study demonstrated rate recommendations must be tailored specific volatility Niger.
Language: Английский
Citations
3Field Crops Research, Journal Year: 2023, Volume and Issue: 300, P. 109010 - 109010
Published: June 20, 2023
Language: Английский
Citations
9Agrosystems 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
Citations
2Journal of Molecular Structure, Journal Year: 2024, Volume and Issue: 1315, P. 138806 - 138806
Published: May 31, 2024
Language: Английский
Citations
2