Reducing Vulnerability of Rain-fed Cereal Production through Crop Simulation Modelling

Msongaleli, Barnabas M.

doi:10.1007/978-3-030-57281-5_161

Cited by 2 publications

(2 citation statements)

References 45 publications

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“…Decreasing rainfall like temperature variability, has also significant adverse impacts on crop production, particularly in regions reliant on rain-fed agriculture. Insufficient moisture can hinder germination, reduce crop growth, and limit yields (Kogo et al, 2022;Klutse et al, 2021;Msongaleli, 2021;Amir et al, 2020). The increasing temperature and decreasing rainfall in the study area are posing threats to the agricultural productivity of the area which needs to be addressed by the concerned stakeholders.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the Trends of Climate Variability During Different Crop Seasons in Dera Ghazi Khan

Abdul Basit,

Saima Siddiqui,

Rehmat Ullah

et al. 2024

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Climate change is profoundly impacting ecosystems and disrupting agricultural systems by altering temperature and precipitation patterns, affecting crop yields and food production. This study evaluates the trends of climate variability during different crop seasons in Dera Ghazi Khan, Pakistan, focusing on temperature and rainfall fluctuations from 1991 to 2020. Climatic data were collected and analyzed, including monthly average temperature and rainfall. The analysis of mean monthly decadal temperature in the study area during the Rabi crop season showed significant fluctuations ranging from 20.04°C, 20.5°C, and 19.73°C in three corresponding decades. The mean monthly seasonal temperature was calculated 20.1°C. Similarly, during the Kharif crop season, notable variations across the mean decadal temperature ranging from 34°C to 34.91°C with mean seasonal temperature 34.6°C. Overall, in both seasons during the past three decades +0.1°C was observed with an annual increase of 0.003°C. All these values were found statistically significant. Mean monthly rainfall also exhibited remarkable variability, with statistically significant differences observed for most months in both Rabi and Kharif seasons, except for November and December in the Rabi season and June and October in the Kharif season. Overall, rain has decreased in the last 30 years to -0.4mm during Rabi and -3.7mm during Kharif seasons. The literature suggests that minor changes in climatic factors remarkably impact crop production. These findings highlight the dynamic nature of climatic conditions in the region and underscore the importance of understanding and adapting to climate change for sustainable agricultural practices.

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Section: Discussionmentioning

confidence: 99%

Evaluation of the Trends of Climate Variability During Different Crop Seasons in Dera Ghazi Khan

Abdul Basit,

Saima Siddiqui,

Rehmat Ullah

et al. 2024

PJS

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“…Smallholder farmers have been forced to make trial-and-error adjustments because of the growing uncertainty in climate variables that impact cropping patterns and systems, such as the unpredictable nature of rain onset as an analogue for planting dates (Clay & King, 2019;Krell et al, 2021). For instance, in central Tanzania, the planting of normal season crops-which would normally occur in November and December-has gradually moved to the first dekad of January (Msongaleli, 2021;Baijukya et al, 2020). Droughts that recur in December have caused planting delays of approximately one month.…”

Section: Introductionmentioning

confidence: 99%

The Contribution of Climate-Smart Agriculture to Reducing Climate-Related Risks to Rain-Fed Maize Production: Insights from Tanzania’s Semi-Arid and Sub-Humid Regions

Msongaleli

2024

Ghana J. Geography

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Adaptation responses of rain-fed smallholder farming systems to climate change and variability have become more unpredictable. Semi-arid and sub-humid regions are most affected by knowledge gaps on climate change adaptation strategies. Climate-smart agriculture (CSA) practices are crucial because they ensure predictable and effective adaptation responses that reduce crop failures. To determine potential new strategies for farm-level climate change adaptation, this study examined the implications of three CSA practices on rain-fed maize production: crop diversification, intercropping, and planting date adjustment. Plot-level data were obtained from the Tanzania National Panel Survey (TNPS) throughout waves 1 (2008/2009) and 2 (2010/2011). The consistency of the adaptation responses was evaluated using test-retest reliability. The findings showed that intercropping and splitting plots to plant crops other than maize was an analogue for crop diversification and reduced variability of maize grain yields. The panel linear regression model revealed that the yields of maize grains were positively correlated with intercropping and crop diversification (plot division). Moreover, the results of the meta-analysis showed that intercropping, crop diversification, and planting date adjustments could greatly increase smallholder rain-fed maize farmers’ resistance to the effects of climate variability and change. The government and non-governmentalorganizations should be encouraged to provide funding for agricultural extension education, which is a major factor in the implementation of CSA techniques.

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Reducing Vulnerability of Rain-fed Cereal Production through Crop Simulation Modelling

Cited by 2 publications

References 45 publications

Evaluation of the Trends of Climate Variability During Different Crop Seasons in Dera Ghazi Khan

Evaluation of the Trends of Climate Variability During Different Crop Seasons in Dera Ghazi Khan

The Contribution of Climate-Smart Agriculture to Reducing Climate-Related Risks to Rain-Fed Maize Production: Insights from Tanzania’s Semi-Arid and Sub-Humid Regions

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