Management strategies for improving maize yield and water productivity under water deficit and soil acidity

Experimental Agriculture, Год журнала: 2025, Номер 61

Опубликована: Янв. 1, 2025

Summary Maize holds a key role in ensuring food security Ethiopia, yet its productivity faces challenges due to water scarcity and soil acidity. Minimizing these problems is crucial enhance maize yield maintain security. This research explored the effects of deficit irrigation (DI) combined with lime, manure, inorganic fertilizer application on (WP) Koga, Ethiopia. Three levels DI, namely 80%, 60%, 50% crop evapotranspiration (ETc), alongside 100% ETc (full irrigation) as reference, were implemented for two consecutive seasons. Five integrated fertility management (ISFM) treatments evaluated over successive seasons: (i) combining 1.43 Mg ha –1 lime 3 manure full doses urea + (NPSB, containing 18.9% Nitrogen, 37.7% Phosphorus, 6.95% Sulphur, 0.1% Boron), referred (L1); (ii) 1.15 (L2); (iii) 0.86 (L3); (iv) applying (M); (v) using only (C). Grain biomass measured at harvest from 9 m 2 sample area each plot, three replicates. The liming manuring significantly influenced average grain biomass. Across all scenarios, higher production found L1, L2, L3, M compared treatment C. highest WP was under ISFM treatments. lowest recorded C across levels. Manuring reduced increased yield, biomass, use alone ETc. could mitigate negative impact DI yield.

Язык: Английский

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Spatial-temporal variations of ecological vulnerability in the Tarim River Basin, Northwest China

Journal of Arid Land, Год журнала: 2021, Номер 13(8), С. 814 - 834

Опубликована: Авг. 1, 2021

Язык: Английский

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Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments

Water, Год журнала: 2022, Номер 14(22), С. 3647 - 3647

Опубликована: Ноя. 12, 2022

Crop yield prediction is critical for investigating the gap and potential adaptations to environmental management factors in arid regions. models (CMs) are powerful tools predicting water use, but they still have some limitations uncertainties; therefore, combining them with machine learning algorithms (MLs) could improve predictions reduce uncertainty. To that end, DSSAT-CERES-maize model was calibrated one location validated others across Egypt varying agro-climatic zones. Following that, dynamic (CERES-Maize) used long-term simulation (1990–2020) of maize grain (GY) evapotranspiration (ET) under a wide range factors. Detailed outputs from three growing seasons field experiments Egypt, as well CERES-maize outputs, were train test six (linear regression, ridge lasso K-nearest neighbors, random forest, XGBoost), resulting more than 1.5 million simulated scenarios. Seven warming years (i.e., 1991, 1998, 2002, 2005, 2010, 2013, 2020) chosen 31-year dataset MLs, while remaining 23 models. The Ensemble (super learner) XGBoost outperform other GY ET maize, evidenced by R2 values greater 0.82 RRMSE less 9%. broad practices, when averaged all locations 31 simulation, not only reduced hazard impact also increased ET. Moving beyond interpreting Lasso XGBoost, using global local SHAP values, we found most important features maximum temperatures, minimum temperature, available content, soil organic carbon, irrigation, cultivars, texture, solar radiation, planting date. Determining assisting farmers agronomists prioritizing such over order increase resource efficiency values. combination CMs ML tool use regions, which particularly vulnerable climate change scarcity.

Язык: Английский

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Considering spatio-temporal dynamics of soil water with evapotranspiration partitioning helps to clarify water utilization characteristics of summer maize under deficit irrigation

Journal of Hydrology, Год журнала: 2023, Номер 617, С. 129102 - 129102

Опубликована: Янв. 9, 2023

Язык: Английский

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Minimizing trade-offs between wheat yield and resource-use efficiency in the Nile Delta – A multi-model analysis

Field Crops Research, Год журнала: 2022, Номер 287, С. 108638 - 108638

Опубликована: Июль 30, 2022

Язык: Английский

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Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis

Water Resources Management, Год журнала: 2022, Номер 36(12), С. 4799 - 4817

Опубликована: Авг. 17, 2022

Язык: Английский

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Modelling water consumption, N fates and maize yield under different water-saving management practices in China and Pakistan

Agricultural Water Management, Год журнала: 2021, Номер 255, С. 107033 - 107033

Опубликована: Июнь 17, 2021

Язык: Английский

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What should we do for water security? A technical review on more yield per water drop

Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122832 - 122832

Опубликована: Окт. 12, 2024

Язык: Английский

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Spatiotemporal Characteristics and Trends of Meteorological Droughts in the Wadi Mina Basin, Northwest Algeria

Water, Год журнала: 2021, Номер 13(21), С. 3103 - 3103

Опубликована: Ноя. 4, 2021

Drought has become a recurrent phenomenon in Algeria the last few decades. Significant drought conditions were observed during late 1980s and 1990s. The agricultural sector water resources have been under severe constraints from droughts. In this study, spatial temporal dimensions of meteorological droughts Wadi Mina basin (4900 km2) investigated to assess vulnerability. Standardized Precipitation Index (SPI) method GIS used detail geographical variations based on monthly records for period 1970–2010 at 16 rainfall stations located basin. Trends annual SPI analyzed using Mann–Kendall test Sen’s slope estimator. Results showed that was able detect historical 1982/83, 1983/84, 1989/90, 1992/93, 1993/94, 1996/97, 1998/99, 1999/00, 2004/05 2006/07. Wet years 1971/72, 1972/73, 1995/96, 2008/09 2009/10. Six out had significant decreasing precipitation trends (at 95% confidence), whereas no increasing trends. Based these findings, measures ameliorate mitigate effects droughts, especially dominant intensity types, people, community environment are suggested.

Язык: Английский

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Response of Summer Maize Growth and Water Use to Different Irrigation Regimes

Agronomy, Год журнала: 2022, Номер 12(4), С. 768 - 768

Опубликована: Март 23, 2022

Summer maize crop development, yield, and water use characteristics under deficit conditions at different growth stages were investigated in this study using irrigation regime treatments the seedling (S), jointing (J), tasseling (T), grain filling (F) 2018 2019 China. Ten set, including three-irrigation application intervals (JTFi, STFi, SJFi, SJTi), two-irrigation applications (STi, JTi, JFi), single-irrigation (Ti, Ji). These compared to control treatment (CK), which had sufficient provided four (SJTFi). The results showed that CK, a greater effect on plant height, whereas leaf area index, continuous an stem diameter of summer maize. Limitations terms development increased with less frequent irrigation. As decreased, yield efficiency increased, stage greatest efficiency. JTFi was optimal decline, its consumption reduced by 16.9% (p < 0.05) average. However, 17.3% 0.05). Moreover, smallest response factor value (Ky) 0.16, comprehensive score second highest after CK.

Язык: Английский

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