Meta-analytic model in the evaluation of yield increase with the use of fungicides to control Sclerotinia sclerotiorum
Abstract
Among the soybean diseases, the white mold caused by Sclerotinia sclerotiorum is considered one of the most important and can reduce the yield up to 60%. However, there are questions about efficiency of the chemical control of the disease applied on the shoot system. The meta-analysis allows statically significant conclusions for variables that, under the traditional experimentation, in individual tests, there were no level of significance. Thus the purpose of the work was to evaluate the connection between the use of chemical control of the white mold and the soybean yield. It was a systematic review of bibliographical studies through the CAPES website. The selection criteria were: National papers published between 2004 and 2012, containing the use of chemical control of white mold caused by Sclerotinia sclerotiorum. Data dispersion measurements and papers containing chemical control of the shoot system, active ingredient and dose. It was selected 42 papers of which 18 papers were selected following the criteria, totaling 126 entries. The statistical template was created with the Software R using the Metafor Package. On the results found, the meta-analysis measure presented a estimate grow of 396 kg.ha-1 with the use of fungicides as chemical control of the White mold. The inferior and superior confidence interval varied from 341.8 to 451.9 kg.ha-1, respectively. In conclusion, the chemical control of the white mold contributes positively to increase the soybean production.Downloads
References
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doi.org/10.33158/ASB