Effect of Climate Variability on Yams (&amp;lt;i&amp;gt;Dioscorea spp&amp;lt;/i&amp;gt;.) Production in Central and Northern Benin

Adifon, Fiacre Hermann; Atindogbé, Gilbert; Bello, Daouda Orou; Balogoun, I.; Yabi, Ibouraïma; Dossou, Joseph; Ahoton, Léonard E.; Saïdou, Aliou

doi:10.4236/ajcc.2020.94027

Cited by 10 publications

(6 citation statements)

References 12 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The rainy season plays a crucial role in determining agricultural productivity and ultimately, the livelihoods of millions of smallholder farmers [ 68 ]. Recently, there have been growing concerns regarding the abundance, availability and effects of glyphosate on soil during raining season [ 69 ].…”

Section: Resultsmentioning

confidence: 99%

Seasonal variations in the levels of glyphosate in soil, water and crops from three farm settlements in Oyo state, Nigeria

Ayoola,

Olujimi,

Bada

et al. 2023

Heliyon

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

Seasonal variations in the levels of glyphosate in soil, water and crops from three farm settlements in Oyo state, Nigeria

Ayoola,

Olujimi,

Bada

et al. 2023

Heliyon

View full text Add to dashboard Cite

“…However, the decreasing trends observed in the number of pre-monsoon rainy days may hamper the emergence of yam tubers in the Sudanian zone. Adifon et al (2020) found that the rainfall delay in the pre-monsoon season is a temporal factors that affecting the yield of yams in the Sudanian regions of Benin. The significant increases of heavy and extreme rainfall are likely to negatively affect the growing season period with a very high risk of floods (Salack et al 2018).…”

Section: Potential Impact Of the Observed Rainfall Trends On Agriculturementioning

confidence: 97%

Characterization of Spatio-temporal Trends in Long-term Rainfall of Three Weather Stations in Benin: Implications for Agricultural Decision Making.

Wabi

Vanhove

Idohou

et al. 2021

Preprint

View full text Add to dashboard Cite

A better understanding of rainfall variability and trends is vital for agricultural production systems. This study evaluates the spatio-temporal variability and trends in annual, seasonal and daily rainfall in Benin. Daily rainfall data for the 1970-2016 period measured at three weather stations (Savè, Malanville, and Tanguiéta) were obtained from the Benin National Weather Agency. Descriptive statistics, standardized anomaly of rainfall (SAR) and rainfall intensity were used to analyze rainfall variability. For rainfall trends analysis, we tested for auto-correlation and used the Mann-Kendall and Modified Mann-Kendall tests for non-auto-correlated and auto-correlated data, respectively. Trend magnitude was estimated using Sen’s slope. Globally a moderate-to-high seasonal rainfall and low variability of yearly rainfall were observed. The SAR indicated more than 50% of the years in the studies period experienced dry years. Between 1970 and 2016, a significant 20 % increase was observed in the yearly rainfall in Tanguiéta whereas no significant trends were observed in Malanville (10% increase) and Savè (0.6% decrease). The general rainfall increase observed during the post-monsoon season (October to November) in the three weather stations potentially increases flood frequencies during the harvest period of some crops, which can reduce crop yields. The changes in the pre-monsoon season (March to May) and monsoon season (June to September) were not globally uniform and can have positive/negative impact on agriculture, certainly when no adaptation strategies are applied. These findings are essential to the resilience building and climate risk management in agriculture which is largely dependent on weather conditions.

show abstract

“…Concerning the soil type, S1 (Ferruginous soils impoverished without concretions) seems to be the most sensitive to climate change followed by S2 (Ferralitic soils) and S3 (Raw mineral soils) . Still on the effects of climate variability on yam production, a study was conducted in the Nothern part of the Benin Republic by Adifon et al (2020). Their study shows that the agro-climatic stress index (ASI) and the annual rainfall are the main climatic factors which determine the yield of yam in the various growing areas in Benin.…”

Section: Impact Of Climate Change On Yam Yieldmentioning

confidence: 99%

“…He was also able, through a field survey among yam farmers, to gather their perceptions of yam production conditions and the challenges they face. The survey revealed that yam farmers are unanimous about the influence of the variability of climate parameters on the growth and production of yams (Adifon et al, 2020). The methodological approach he used is described in Table 9.…”

Section: Impact Of Climate Change On Yam Yieldmentioning

confidence: 99%

“…Central and Northern Benin/ (Adifon et al, 2020) In 2019, the World Bank Group conducted a study on "CLIMATE-SMART AGRICULTURE INVESTMENT PLAN" with the contribution of the Coat of Arms of Ivory Coast, Initiative for Adaptation of African Agriculture (Initiative AAA), International Center for Tropical Agriculture (CIAT), Climate Change, Agriculture and Food Security (CCAFS) which is provided an investment plan for climate-smart agriculture (CSA) in Côte d'Ivoire. Situation analysis indicates that climate change will impact the production of key agricultural products in the country, which will, in turn, impact each economic activity.…”

Section: Authors Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Yam Production-Related Agro-climatological Risks and Yam Yield Modeling in Côte d’Ivoire: A Review

Aka,

Akpavi,

Dibi

2024

JAS

View full text Add to dashboard Cite

In this paper, we present a review of the agro-climatological-related risk of yam production and models developed for yam yield prediction in Côte d’Ivoire. Four official national platforms (Ministry of Agriculture and Rural Development (MINADER), National Center for Agricultural Research (CNRA), National Agency for Rural Development Support (ANADER), Airport, Aeronautical and Meteorological Exploitation and Development Company (SODEXAM)) and six scientific search engines were investigated in this study including Theses.fr, African Journal Online, Science Direct, Google Scholar, WorldCat and Semantic Scholar. Using the boolean parameters “AND”, “OR” and “()” to facilitate and direct our search, we were able to define four key phrases comprising the topic words that were used in the search. Exclusion and inclusion criteria for the selection of documents were also defined in advance, as well as the criteria for reviewing and extracting information from selected documents. The results showed that no work in the field of agro-climatological risks related to yam production and yam yield modeling in Côte d’Ivoire was available on these online research platforms at the time of this literature review. However, other studies similar to the scope of this review on yam exist in several West African countries, particularly Ghana, Benin and Nigeria, and also in the Caribbean. These studies use simulation models such as the Approach for Land Use Sustainability (SALUS) model, the Environmental Policy Integrated Climate (EPIC) model and the Cropping Systems Simulation (CROPSYST) model for growth, yield modeling and the influence of climatic parameters on yam. In addition to these models, artificial intelligence through machine learning models was also seen in this review as an excellent tool for yield prediction for several crops including yams.

show abstract

Effect of Climate Variability on Yams (<i>Dioscorea spp</i>.) Production in Central and Northern Benin

Cited by 10 publications

References 12 publications

Seasonal variations in the levels of glyphosate in soil, water and crops from three farm settlements in Oyo state, Nigeria

Seasonal variations in the levels of glyphosate in soil, water and crops from three farm settlements in Oyo state, Nigeria

Characterization of Spatio-temporal Trends in Long-term Rainfall of Three Weather Stations in Benin: Implications for Agricultural Decision Making.

Yam Production-Related Agro-climatological Risks and Yam Yield Modeling in Côte d’Ivoire: A Review

Contact Info

Product

Resources

About