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        <dc:title>Predicting aflatoxin content in peanuts using ambient temperature, soil temperature and soil moisture content during pod development</dc:title>
        <dc:creator>Hendrix, M C</dc:creator>
        <dc:creator>Obed, I L</dc:creator>
        <dc:creator>Alice, M M</dc:creator>
        <dc:creator>Elijah, P</dc:creator>
        <dc:creator>Jones, Y</dc:creator>
        <dc:creator>Njoroge, S M C</dc:creator>
        <dc:creator>Rick, L B</dc:creator>
        <dc:creator>David, J</dc:creator>
        <dc:subject>Zambia</dc:subject>
        <dc:subject>Statistical Models</dc:subject>
        <dc:subject>Groundnut</dc:subject>
        <dc:subject>Soil Science</dc:subject>
        <dc:subject>Aflatoxins</dc:subject>
        <dc:description>Higher than acceptable aflatoxin levels in peanut kernels (Arachis hypogaea L.) and related products is&#13;
a worldwide food safety concern. Strict regulatory standards by major importers of peanuts limit the&#13;
marketability of peanuts for many developing tropical countries including Zambia. The incidence of preharvest&#13;
aflatoxins is strongly linked to soil and weather conditions during pod-development. This study&#13;
aimed to formulate statistical models to predict total aflatoxin content in peanut kernels using selected&#13;
environmental factors during pod development. Field experiments were conducted for two years during&#13;
which the peanut crop was exposed to 84 combinations of ambient temperature, soil temperature and&#13;
soil moisture content measured during the last 30 days of pod development. These data were used to&#13;
formulate regression models to predict total aflatoxin content in peanut kernels. Simple linear&#13;
regression models had R2 values of 0.30 for maximum ambient temperature, 0.24 for soil temperature&#13;
and 0.38 for soil moisture content. Combining soil moisture content and soil temperature in a&#13;
multivariate regression model could explain 54% of the variation in total aflatoxin content while a&#13;
combination of soil moisture content and maximum ambient temperature could only explain 46% of the&#13;
variation in total aflatoxin content.</dc:description>
        <dc:publisher>Academic Journals</dc:publisher>
        <dc:date>2019-03</dc:date>
        <dc:type>Article</dc:type>
        <dc:type>PeerReviewed</dc:type>
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        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/11390/1/ea79eb09acc678531ebbaf643126ebbddaa1.pdf</dc:identifier>
        <dc:identifier>  Hendrix, M C and Obed, I L and Alice, M M and Elijah, P and Jones, Y and Njoroge, S M C and Rick, L B and David, J  (2019) Predicting aflatoxin content in peanuts using ambient temperature, soil temperature and soil moisture content during pod development.  African Journal of Plant Science, 13 (3).  pp. 59-69.  ISSN 1996-0824     </dc:identifier>
        <dc:relation>https://doi.org/10.5897/AJPS2018.1742</dc:relation>
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