Resources and further reading.

Stern, R. D.; Coe, R.; Allan, E. F.; Dale, I. C.

doi:10.1079/9780851997223.0365

Cited by 13 publications

(27 citation statements)

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“…In West Africa climatic variations are often mentioned by peasants as the major risk factor of agricultural production (Ingram et al, 2002) and this has been confirmed by a number of studies (Romuald-Robert and Bouchy, 1965;Sivakumar, 1988;Kangah, 2004;Motha et al, 2006;Stern et al, 2006). However, although there are a number of agricultural studies that have shown the importance of climate and meteorology for the yields of the main agricultural crops in Africa , there are few which have explicitly examined cotton crop production, despite its primary economic importance for West African francophone countries (Bichat, 2006).…”

Section: Introductionmentioning

confidence: 67%

“…The identification of such periods is done via the counting of consecutive dry days, where a day is considered to be dry when less than 1 mm of water falls (Stern et al, 2006). 1 The results of simulations done by Sultan et al (2005) with the agronomic model SARRA-H indicates that dry spells during the monsoon may have an impact on plant yields (here millet).…”

Section: Rainfallmentioning

confidence: 99%

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The climatic determinants of cotton yields: Evidence from a plot in West Africa

Blanc¹,

Quirion²,

Strobl³

2018

Preprint

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We conduct a multiple regression analysis of the main climatic determinants of rain fed cotton (Gossypium hirsutum L.) yields for an experimental plot located in Mali, West Africa. The use of daily climatic data allows us to explicitly examine the role of cumulative precipitation, the length of the rainy season, the number of dry spells, the flooding periods, temperature, and solar radiation in determining annual cotton production, and the results of our analysis confirms their importance. In general our findings are in line with the current agronomic literature. (C) 2008 Elsevier B.V. All rights reserved.

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Section: Introductionmentioning

confidence: 67%

Section: Rainfallmentioning

confidence: 99%

The climatic determinants of cotton yields: Evidence from a plot in West Africa

Blanc¹,

Quirion²,

Strobl³

2018

Preprint

View full text Add to dashboard Cite

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“…In line with this, significance of climate change trends was done using thirty years of weighted spatial average temperature and rainfall data for the entire region collected from National Meteorological Agency of Ethiopia. INSTAT version 3.37 was used to analyze these climate data [18]. However, climate trend analysis were done using MannKendall trend test.…”

Section: Research Approachmentioning

confidence: 99%

Trend Analysis and Challenges of Adaptations to Climate Change in Hararghe, Ethiopia

Sorecha¹

2017

Environ Pollut Climate Change

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“…Onset and cessation of rainfall date is analyzed using an Instat version 3.7 package developed by the Statistical Services Centre of the University of Reading [29]. Besides, duration of the rainy season was determined by counting the number of rainy days between the onset and the end date of the rainy season in a given time for the study area.…”

Section: Determination Of Rainfall Featuresmentioning

confidence: 99%

“…To determine whether the impact of future rainfall variability is increased or decreased on wheat yields, it was assessed by substituting analyzed rainfall feature variables on the developed statistical model based on sensitivity of crops after obtaining it using statistical software like Instat version 3.37 [29] and SPSS (version20).…”

Section: Establish Impacts Of Future Rainfall On Wheat Yieldsmentioning

confidence: 99%

Demonstrating Effect of Rainfall Characteristics on Wheat Yield: Case of Sinana District, South Eastern Ethiopia

Bekele¹,

Korecha²,

Negatu³

2017

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Demonstrating Effects of Current and Projected Rainfall Characteristics on Wheat yield has been investigated in Sinana district for the period 1995-2016. Data on rainfall and crop yield for the period 1995-2016 were obtained from National Meteorological Agency and Sinana District Agricultural Offices, respectively. Following data quality checking, rainfall data (current and future), correlation and regression studies were analyzed using Statistical software like Instat V3.36 and SPSS V20. Downscaling the output of CSIRO-Mk3.6.0 GCM model (daily rainfall data) for RCP8.5 emission scenario using a web based software tool (Marksim GCM) for the period 2020-2049 were used to determine seasonal total rainfall and ascertain its impact on yield. This study used mean, coefficient of variation, correlation and regression analysis to ascertain the relation, cause and effect relationship between rainfall characteristics and wheat yields. The results indicated that the mean onset date of the main rainy season (JJAS) for Robe and Sinana station was June 30 and July 3. Furthermore, the results of Pearson Correlation Coefficients indicated that kiremt rainfall total (JJAS) had moderate positive relationship (r = 0.499) with wheat yield in the study area. It was also observed that nearly fifty percent of total variance of crop yield is explained jointly by kiremt rainfall total and rainy day (R 2 value was 47.9%). The result of projected wheat yield indicated that there will be a slight decrease in wheat yield (qt/ha) after 2030 years due to the impact of expected weakening of kiremt rainfall total. Taking in to account the above findings, it could be suggested that the farmers' community will be encouraged encouraged to utilize timely climate information issued from National Meteorological Agency of Ethiopia (NMA) and other centers for farm level decision to enhance their crop production.

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Resources and further reading.

Abstract: The concluding chapter identifies some resources related to all topics covered in this book on natural resource management research. A short list of other useful books and web-based materials is provided.

Cited by 13 publications

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The climatic determinants of cotton yields: Evidence from a plot in West Africa

The climatic determinants of cotton yields: Evidence from a plot in West Africa

Trend Analysis and Challenges of Adaptations to Climate Change in Hararghe, Ethiopia

Demonstrating Effect of Rainfall Characteristics on Wheat Yield: Case of Sinana District, South Eastern Ethiopia

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