Positive effect of climate change on cotton in 2050 by CO2 enrichment and conservation agriculture in Cameroon

Gérardeaux, Edward; Sultan, Benjamin; Palai, Oumarou; Guiziou, Camille; Oettli, Pascal; Naudin, Krishna

doi:10.1007/s13593-012-0119-4

Cited by 37 publications

(15 citation statements)

References 25 publications

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“…In Garoua, it was 1116 mm with 121 days in G0, 1063 mm with 108 days in G1, 921 mm with 94 days in G2. In Maroua and in G2, the crop met the end of the rainy season before the 94 days after emergence necessary to achieve its physiological maturity (Gérardeaux et al , 2013).…”

Section: Methodsmentioning

confidence: 99%

Sixty Years of Breeding in Cameroon Improved Fibre but Not Seed Cotton Yield

Loison¹,

Audebert²,

Chopart³

et al. 2016

Ex. Agric.

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SUMMARYSeed cotton yield in Northern Cameroon has been declining since the 80s despite breeding efforts. In order to evaluate the impact of genetic improvement on this decline, we conducted field experiments in two locations with 10 widely grown cotton cultivars released in Cameroon between 1950 and 2009. The rate of genetic gain (GG) was estimated with a linear regression of the cultivar mean on its year of release (YR). Contrasts between rates of GG observed with different planting dates were estimated and tested. Our results revealed a rate of GG on fibre yield of 3.3 kg ha−1 year−1 due to increased ginning out-turn (3.9% and 6.2% in 60 years in Garoua and Maroua, respectively). There was no GG on leaf area index (LAI), radiation use efficiency (RUE), aerial biomass, harvest index and on seed cotton yield. We concluded that cotton breeding efforts in Cameroon have successfully improved cotton fibre yield but there is still some room for seed cotton yield improvement.

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Section: Methodsmentioning

confidence: 99%

Sixty Years of Breeding in Cameroon Improved Fibre but Not Seed Cotton Yield

Loison¹,

Audebert²,

Chopart³

et al. 2016

Ex. Agric.

Self Cite

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“…In another study conducted in Cameroon (Gerardeaux et al. ), cotton yields were projected to increase by 2050 under the A1B storyline as a result of a slight increase in temperature, and an increase in atmospheric CO 2 with no changes in rainfall. Studies conducted in Cameroon and Mali (Sultan et al.…”

Section: Major Crops and The Impacts Of Climate Changementioning

confidence: 99%

Climate change and eastern Africa: a review of impact on major crops

Adhikari

Nejadhashemi

Woznicki

2015

Food and Energy Security

463

264

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Global warming has become one of the major challenges in maintaining global food security. This paper reviews the impacts of climate change on fourteen strategic crops for eight sub-Saharan Africa countries. Climate change is projected to increase median temperature by 1.4-5.5°C and median precipitation by −2% to 20% by the end of the 21st century. However, large levels of uncertainty exist with temporal and spatial variability of rainfall events. The impact of climate change on crop yields in the region is largely negative. Among the grain crops, wheat is reported as the most vulnerable crop, for which up to 72% of the current yield is projected to decline. For other grain crops, such as maize, rice and soybean, up to 45% yield reductions are expected by the end of this century. Two grain crops, millet and sorghum, are more resilient to climate change for which projected impacts on crop yields are <20%. Root crops, such as sweet potato, potato and cassava are projected to be less affected than the grain crops with changes to crop yields ranging from about −15% to 10%. For the two major export crops, tea and coffee, up to 40% yield loss is expected due to the reduction in suitable areas caused by temperature increase. Similar loss of suitable areas is also expected for banana and sugarcane production, however, this reduction is due to rainfall variability in lowland areas. Other crops such as cotton and sugarcane are projected to be more susceptible to precipitation variation that will vary signifi cantly in the region. In order to mitigate the long-term impacts of climate change on agricultural sectors, the development of small-scale irrigation systems and water harvesting structures seems promising, however, affordability of such measures remains a key issue. 111

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“…Pathak et al (2012) presented a detailed methodology and described a range of parameters that were adjusted for CSM-CROPGRO-Cotton calibration based on four experimental studies conducted in Florida and Georgia. Gérardeaux et al (2013) developed a calibrated CSM-CROPGRO-Cotton model to study the effects of an ensemble of six regional climate projections on cotton yields in Cameroon. Their results showed an average increase in cotton yield by 1.3 kg ha -1 year -1 during the 2005-2050 period due to an increase in temperature and CO 2 concentration, and a decrease in precipitation.…”

mentioning

confidence: 99%

Evaluation of the CSM-CROPGRO-Cotton Model for the Texas Rolling Plains Region and Simulation of Deficit Irrigation Strategies for Increasing Water Use Efficiency

2015

Trans. ASABE

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Cotton is one of the major crops cultivated in the Texas Rolling Plains region, and it is a major contributor to the regional economy. Cotton cultivation in this region is facing severe challenges due to an increase in the frequency of droughts and a projected decrease in rainfall in the future. Development and evaluation of deficit irrigation strategies for this region could potentially conserve water while maintaining cotton yields. In this study, the Decision Support System for Agrotechnology Transfer (DSSAT) Cropping System Model (CSM) CROPGRO-Cotton was extensively tested and then used for evaluating various deficit irrigation strategies for this region. The model inputs were obtained from field experiments conducted at Chillicothe, Texas, during four growing seasons: 2008-2010 and 2012. The model was first calibrated using the data from a 100% evapotranspiration (ET) replacement irrigation scheduling experiment conducted in 2012 and then validated on three other irrigation scheduling treatments (75% ET replacement, soil moisture based, and tensiometer based) conducted in the same year. The model was further evaluated using the data from cotton tillage and irrigation experiments conducted in an adjacent field during 2008-2010. The model calibration, validation, and evaluation results were satisfactory except under dry conditions (0% ET replacement and 33% ET replacement). Simulated maximum seed cotton yields under normal and dry weather conditions were achieved at 100% and 110% ET replacement, respectively. Percentage decrease in seed cotton yield was marginal (3.5% to 8.8%) when the amount of irrigation water applied was decreased from 100% to 66% ET replacement under normal rainfall conditions. However, under less than normal rainfall (drier) conditions, the percentage decrease in seed cotton yield was substantial (about 17.5%) when the irrigation strategy was switched from 100% to 70% ET replacement. The simulations demonstrate that adopting deficit irrigation practices under normal weather conditions can conserve water without adversely affecting seed cotton yields. However, under dry conditions, there is a risk of increased yield loss, and therefore producers should consider that risk when adopting deficit irrigation strategies.

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Positive effect of climate change on cotton in 2050 by CO2 enrichment and conservation agriculture in Cameroon

Cited by 37 publications

References 25 publications

Sixty Years of Breeding in Cameroon Improved Fibre but Not Seed Cotton Yield

Sixty Years of Breeding in Cameroon Improved Fibre but Not Seed Cotton Yield

Climate change and eastern Africa: a review of impact on major crops

Evaluation of the CSM-CROPGRO-Cotton Model for the Texas Rolling Plains Region and Simulation of Deficit Irrigation Strategies for Increasing Water Use Efficiency

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