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

Cotton yields in the Sudano-Sahelian region contribute to food security through their role in agricultural productivity. Daily precipitation data and cotton yield data were synthesized from nine agricultural regions obtained from the “Société de Développement du Coton (SODECOTON)”. The following sea...

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Autores principales:	Ibrahim Njouenwet, Derbetini Appolinaire Vondou, Stephanie Vanessa Ngono Ashu, Robert Nouayou
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Sudano-Sahelian region seasonal rainfall indices trends critical breakpoint cotton yield Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/5b63e2ca0c1b42be998b48e84ded0c9f
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spelling	oai:doaj.org-article:5b63e2ca0c1b42be998b48e84ded0c9f2021-11-11T19:43:42ZContributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields10.3390/su1321120862071-1050https://doaj.org/article/5b63e2ca0c1b42be998b48e84ded0c9f2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12086https://doaj.org/toc/2071-1050Cotton yields in the Sudano-Sahelian region contribute to food security through their role in agricultural productivity. Daily precipitation data and cotton yield data were synthesized from nine agricultural regions obtained from the “Société de Développement du Coton (SODECOTON)”. The following seasonal rainfall indices—from Cameroon’s cotton zone—were mapped with geographic information systems for spatial analysis: wet season onset and retreat date, rainfall amount, number of rainy days, rainfall intensity (SDII), heavy-rainfall events (R95p), consecutive dry days (CDD), annual highest daily precipitation (Rx1day) and number of very heavy precipitation days (R20mm). Linear regressions were used as statistical tools for analysis. The strongest relationships were observed between cotton yields and the heavy-rainfall events, closely followed by seasonal rainfall amount. An increase in consecutive dry days (CDD) and heavy events, and a decreased seasonal rainfall amount, have a negative impact on cotton yield trends. Overall, the critical breakpoint analysis between cotton yields and all rainfall indices showed that the cotton yield was particularly negatively impacted before a 251 retreat date, 591 mm seasonal rainfall amount and 33 rainy days. By contrast, an onset date, rainfall intensity, heavy rainfall, CDD, Rx1day and R20mm of 127, 12.5 mm·day<sup>−1</sup>, 405 mm, 27 days, 67 mm and 22 days, respectively, were identified for an optimum cotton yield. These results can be used as information for agricultural activity and management, civil planning of economic activities and can also contribute to furthering our understanding of the management impacts on future food security.Ibrahim NjouenwetDerbetini Appolinaire VondouStephanie Vanessa Ngono AshuRobert NouayouMDPI AGarticleSudano-Sahelian regionseasonal rainfall indicestrendscritical breakpointcotton yieldEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12086, p 12086 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Sudano-Sahelian region seasonal rainfall indices trends critical breakpoint cotton yield Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	Sudano-Sahelian region seasonal rainfall indices trends critical breakpoint cotton yield Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Ibrahim Njouenwet Derbetini Appolinaire Vondou Stephanie Vanessa Ngono Ashu Robert Nouayou Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields
description	Cotton yields in the Sudano-Sahelian region contribute to food security through their role in agricultural productivity. Daily precipitation data and cotton yield data were synthesized from nine agricultural regions obtained from the “Société de Développement du Coton (SODECOTON)”. The following seasonal rainfall indices—from Cameroon’s cotton zone—were mapped with geographic information systems for spatial analysis: wet season onset and retreat date, rainfall amount, number of rainy days, rainfall intensity (SDII), heavy-rainfall events (R95p), consecutive dry days (CDD), annual highest daily precipitation (Rx1day) and number of very heavy precipitation days (R20mm). Linear regressions were used as statistical tools for analysis. The strongest relationships were observed between cotton yields and the heavy-rainfall events, closely followed by seasonal rainfall amount. An increase in consecutive dry days (CDD) and heavy events, and a decreased seasonal rainfall amount, have a negative impact on cotton yield trends. Overall, the critical breakpoint analysis between cotton yields and all rainfall indices showed that the cotton yield was particularly negatively impacted before a 251 retreat date, 591 mm seasonal rainfall amount and 33 rainy days. By contrast, an onset date, rainfall intensity, heavy rainfall, CDD, Rx1day and R20mm of 127, 12.5 mm·day<sup>−1</sup>, 405 mm, 27 days, 67 mm and 22 days, respectively, were identified for an optimum cotton yield. These results can be used as information for agricultural activity and management, civil planning of economic activities and can also contribute to furthering our understanding of the management impacts on future food security.
format	article
author	Ibrahim Njouenwet Derbetini Appolinaire Vondou Stephanie Vanessa Ngono Ashu Robert Nouayou
author_facet	Ibrahim Njouenwet Derbetini Appolinaire Vondou Stephanie Vanessa Ngono Ashu Robert Nouayou
author_sort	Ibrahim Njouenwet
title	Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields
title_short	Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields
title_full	Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields
title_fullStr	Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields
title_full_unstemmed	Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields
title_sort	contributions of seasonal rainfall to recent trends in cameroon’s cotton yields
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5b63e2ca0c1b42be998b48e84ded0c9f
work_keys_str_mv	AT ibrahimnjouenwet contributionsofseasonalrainfalltorecenttrendsincameroonscottonyields AT derbetiniappolinairevondou contributionsofseasonalrainfalltorecenttrendsincameroonscottonyields AT stephanievanessangonoashu contributionsofseasonalrainfalltorecenttrendsincameroonscottonyields AT robertnouayou contributionsofseasonalrainfalltorecenttrendsincameroonscottonyields
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Contributions of Seasonal Rainfall to Recent Trends in Cameroon’s Cotton Yields

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