Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields

Njouenwet, Ibrahim; Vondou, Derbetini A.; Ashu, Stephanie Vanessa Ngono; Nouayou, Robert

doi:10.3390/su132112086

Cited by 7 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies (e.g., Mbouna et al, 2019Mbouna et al, , 2022 demonstrated that Malaria transmission, the most important killer disease in the country, also follows the seasonal cycle of precipitation. Donfack et al (2021) and Njouenwet, Vondou, Ashu and Nouayou (2021) showed that the changes in rainfall strongly alter maize and cotton yields and may increase food insecurity and a loss of income due to the low cotton yield. Nonki et al (2019) also found that under global warming, northern Cameroon will experience extremely dry conditions due to a projected rapid decrease in water availability and increased evaporation, which would have negative feedback on the hydropower potential of the Lagdo dam.…”

Section: Introductionmentioning

confidence: 99%

Projected changes in extreme rainfall and temperature events and possible implications for Cameroon's socio‐economic sectors

Tamoffo

Weber

Akinsanola

et al. 2023

Meteorological Applications

Self Cite

View full text Add to dashboard Cite

Extreme events like flooding, droughts and heatwave are among the factors causing huge socio‐economic losses to Cameroonians. Investigating the potential response of rainfall and temperature extremes to global warming is therefore critically needed for tailoring and adjusting the country's policies. Recent datasets have been developed for this purpose within the Coordinated Output for Regional Evaluations (CORDEX‐CORE) initiative, at ~25 km grid spacing. These regional climate models were used to dynamically downscaled four global climate models participating in the Coupled Model Intercomparison Project phase 5 (CMIP5), under the optimistic and pessimistic representative concentration pathways (RCPs) 2.6 and 8.5, respectively. These models were employed in this study for characterizing the response of Cameroon's extreme precipitation and temperature events to global warming, using seven indices defined by the Expert Team on Climate Change Detection and Indices. Under global warming, the maximum number of consecutive dry (wet) days' is expected to increase (decrease). However, the annual total rainfall amount is expected to increase, mainly due to the intensification of very wet days and daily rainfall intensity. Furthermore, the temperature‐based indices reveal an increase (decrease) in the total annual hot (cold) days, and overall, changes intensify with increased radiative forcing. The high‐mitigated low‐emission pathway RCP2.6 features attenuated changes, and even sometimes adapts to reverse the sign of changes. Designing reliable policies to limit the risks associated with the above changes is required, as their socio‐economic consequences are likely to include food insecurity, heat‐related illness, population impoverishment, price rises and market instability.

show abstract

Section: Introductionmentioning

confidence: 99%

Projected changes in extreme rainfall and temperature events and possible implications for Cameroon's socio‐economic sectors

Tamoffo

Weber

Akinsanola

et al. 2023

Meteorological Applications

Self Cite

View full text Add to dashboard Cite

show abstract

“…Note that the cotton zone of Cameroon is organized into nine cotton regions defined by SODECOTON. In the following, average national yields from 2000 to 2015 showed a trend of the highest yields increasing in cotton regions [21]. CICAM holds the monopoly system of production with only 5% of the domestic market development [14], which is deluged by cloth from China (82%) and West African regions (13%).…”

Section: Introductionmentioning

confidence: 99%

Exploring the Optimistic Approaches and Directives of Cameroon’s Textile Sector for Reliable Development

2023

View full text Add to dashboard Cite

Cameroon is one of the largest producers of cotton in Central Africa. Currently, Cameroon’s textile sector is facing problems regarding manufacturing that restrict the expectations of various shareholders in the sector. This study examined accurate and strategically reliable instructions for the Cameroonian textile sector by utilizing explorative and depictive techniques and properly applying the SWOT (strengths, weaknesses, opportunities, and threats) and AHP (analytic hierarchy process) approaches to perform a pivotal analysis after several surveys of the textile sector in Cameroon. The SWOT–AHP strategy was used in the case of secondary data sources. The resulting analysis underlines the strategic challenges and enhances the textile sector’s competing capability. The weakness and opportunity (WO) strategy broadly had the greatest significance, which indicated, correspondingly, that this strategy should be prioritized for use in the Cameroonian textile sector. Governmental authorities should serve a controlling function rather than a decision-making one, thus facilitating improvements in the management of businesses. Furthermore, it suggested that efforts must be made by the government to promote workforce education and skill development, as well as update obsolete technology, which are currently the deficiencies of the textile sector. Additionally, to add value to the national economy’s capacity, Cameroon should slowly transform its cotton exports to finished textile goods within the country. To achieve this, the government, through a framework of collaboration with foreign companies, should industrialize, deregulate, and denationalize the textile industry and reduce taxes and withdrawal quotas to serve the interests of investors.

show abstract

“…However, I. Njouenwet et al (2021) note that high rainfall prolongs the duration of cotton developmental stages and shortens them under dry conditions. J.L.…”

Section: Introductionmentioning

confidence: 99%

Ecological plasticity and sustainability of cotton in the Southern Steppe of Ukraine

Vozhehova,

Borovyk,

Zaiets

et al. 2023

Scientific Horizons

View full text Add to dashboard Cite

Depending on the length of the cotton growing season, the area of cultivation and its highest productivity potential are determined, and the prompt ripening of raw cotton allows for home-grown harvesting and high-quality soil preparation. The purpose of this study was to identify samples adapted to the conditions of the Southern Steppe of Ukraine from the cotton gene pool. The study used methods of plant variety expertise: phenological observations, morphological studies, and evaluation of breeding material for valuable traits. Based on the study results, parental components were selected to expand the process of forming early-ripening forms and productivity of raw cotton. The ability of cotton plants to grow in extreme conditions of the Southern Steppe of Ukraine was assessed and its homogeneity or stability, the index of growing conditions, the coefficient of variation – the difference in the numerical values of the trait duration of the period “germination – beginning of flowering” of plants in varieties with different growing season and their fluctuations around the average value were determined. It was found that according to the determined plasticity (bi), the variance of stability (Si2), and the coefficient of variation of the duration of “germination – the beginning of flowering” higher tolerance to environmental factors was characterised by ultra-early ripening varieties. The average regression coefficient (bi ) was -0.36; the variation in the duration of the period by year was 10.1%, which is significantly lower compared to early-ripening varieties – -0.77% and 12.9%, mid-ripening varieties – -0.80% and 15.0%, and late-ripening varieties – -1.30% and 16.6%, respectively. The maximum average productivity to frosty raw cotton of 49.4 g/plant was formed by the sample Pidozerskyi 4 (UF0800003), the duration of the period “germination – beginning of flowering” was 47 days, and “germination – full ripening” – <103 days. The lowest raw cotton productivity of 21.2 g/plant was demonstrated by the late-ripening sample Joloten 32 (IU14056549) of Turkmen selection, the duration of the growing season of which was 145 days on average over the years of research. The findings of this study will be used in further breeding to create high-yielding cotton varieties with increased environmental plasticity and stability and highquality fibre

show abstract

Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields

Cited by 7 publications

References 17 publications

Projected changes in extreme rainfall and temperature events and possible implications for Cameroon's socio‐economic sectors

Projected changes in extreme rainfall and temperature events and possible implications for Cameroon's socio‐economic sectors

Exploring the Optimistic Approaches and Directives of Cameroon’s Textile Sector for Reliable Development

Ecological plasticity and sustainability of cotton in the Southern Steppe of Ukraine

Contact Info

Product

Resources

About