Thiamethoxam in Papaya (Carica papaya Linnaeus) Agroecosystems

Thiamethoxam in Papaya (Carica papaya Linnaeus) Agroecosystems



Megchun-Garcia Juan Valente, Rodriguez-Lagunes Daniel Arturo,
Castaneda-Chavez Maria del Refugio, Murguia-Gonzalez Joaquin,
Lango-Reynoso Fabiola, Leyva-Ovalle Otto Raul



Papaya (Carica papaya L.) is a profitable fruit of
economic and food importance in Mexico and Central America. Veracruz is
the state in Mexico with the highest cultivable area, eventhough its
production presents numerous phytosanitary problems, which are being
faced with the use of the pesticide thiamethoxam. The aim of this study
was to make a diagnosis of the use and management of thiamethoxam in
papaya agroecosystems in the municipality of Cotaxtla, Veracruz. Two
surveys were applied, one to a 30% of the total number of producers
organized by an association dedicated to papaya culture, and the other
survey was through key informants, both surveys were designed using the
snowball sampling, a non-probability sampling technique. The results
indicate that 6% of papaya producers use mainly the pesticide
thiamethoxam, which belongs to the chemical group of neonicotinoids. It
was found out that for five years there have been records of
thiamethoxam use in vertisoils. During the cycle of papaya cultivation
the producers use a maximum dose of 3 L/ha and a minimum dose of 250
ml/ha per crop cycle. One hundred per cent of those who apply
thiamethoxam are not aware of its use and efficient management, nor of
the damage they are doing or have caused to agroecosystems. 



10.22161/ijeab/2.2.40



http://ijeab.com/upload_document/issue_files/40%20IJEAB-MAR-2017-39-Thiamethoxam%20in%20Papaya%20(Carica%20papaya%20Linnaeus)%20Agroecosystems.pdf



http://ijeab.com/submit-paper/

Comments

Popular posts from this blog

The Ecological Impacts of Light Pollution at Night-time a Mechanistic Appraisal

Studying the tendency of citizens to participate in the protection and development of land scape in Tehran

Land Use Land Cover Change Detection by Using Remote Sensing Data in Akaki River Basin