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        <dc:title>Modeling the contribution of ecological agriculture for climate change mitigation in cote d'Ivoire</dc:title>
        <dc:creator>Worou, O N</dc:creator>
        <dc:creator>Kone, A W</dc:creator>
        <dc:creator>Tondoh, J E</dc:creator>
        <dc:creator>Guei, A M</dc:creator>
        <dc:creator>Edoukou, F E</dc:creator>
        <dc:subject>Crop Modelling</dc:subject>
        <dc:subject>Climate Change</dc:subject>
        <dc:description>The use of crop models is motivated by the prediction of crop production under climate&#13;
change and for the evaluation of climate risk adaptation strategies. Therefore, in the present&#13;
study the performance of DSSAT 4.6 was evaluated in a cropping system involving integrated&#13;
soil fertility management options that are being promoted as ways of adapting agricultural&#13;
systems to improve both crop yield and carbon sequestration on highly degraded soils&#13;
encountered throughout middle Côte d’Ivoire. Experimental data encompassed two seasons&#13;
in the Guinea savanna zone. Residues from the preceding vegetation were left to dry on plots&#13;
like mulch on an experimental design that comprised the following treatments: (i) herbaceous&#13;
savanna-maize, (ii)10 year-old of the shrub Chromolaena odorata fallow-maize (iii) 1 or 2&#13;
year-old Lalab pupureus stand-rotation, (iv) the legume L. pupureus -maize rotation; (v) continuous&#13;
maize crop fertilized with urea; (vi) continuous maize crop fertilized with triple superphosphate;&#13;
(vii) continuous maize crop, fertilized with both urea and triple superphosphate&#13;
(TSP); (viii) continuous maize cultivation. The model’s sensitivity analysis was run to figure&#13;
out how uncertainty of stable organic carbon (SOM3) can generate variation in the prediction&#13;
of soil organic carbon (SOC) dynamics during the monitoring period of two years, within&#13;
the first soil layer and to estimate the most suitable value. The observed variations were of&#13;
0.05 % in total SOC within the short-term and acceptable dynamics of changes were obtained&#13;
for 0.80% of SOM3. The DSSAT model was calibrated using data from the 2007-2008&#13;
season and validated against independent data sets of yield of 2008-2009 to 2011-2012&#13;
cropping seasons. After the default values for SOM3 used in the model was substituted by the&#13;
estimated one from sensitivity analysis, the model predicted average maize yields of 1 454&#13;
kg ha-1 across the sites versus an observed average value of 1 736 kg ha-1, R2 of 0.72&#13;
and RMSE of 597 kg ha-1. The impact of fallow residues and cropping sequence on maize&#13;
yield was simulated and compared to conventional fertilizer and control data using historical&#13;
climate scenarios over 12 years. Improving soil fertility through conservation agriculture cannot&#13;
maintain grain yield in the same way as conventional urea inputs, although there is better&#13;
yield stability against high climate variability according to our results.</dc:description>
        <dc:date>2019</dc:date>
        <dc:type>Conference or Workshop Item</dc:type>
        <dc:type>PeerReviewed</dc:type>
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        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/11421/1/Agroforestry2019-Book-of-Abstract-v1.pdf</dc:identifier>
        <dc:identifier>  Worou, O N and Kone, A W and Tondoh, J E and Guei, A M and Edoukou, F E  (2019) Modeling the contribution of ecological agriculture for climate change mitigation in cote d'Ivoire.  In: 4th World Congress on Agroforestry, 20-22 May 2019, Montpellier, France.     </dc:identifier>
        <dc:relation>https://www.alphavisa.com/agroforestry/2019/documents/Agroforestry2019-Book-of-Abstract-v1.pdf</dc:relation></oai_dc:dc>
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