塞内加尔谷子和白米储粮中受头圆蚧(Corcyra cephalonica, Stainton)的定量和定性损失评价

M. Lo, T. Diome, C. Thiaw, M. Sembéne
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摘要

在塞内加尔,谷子(Pennisetum glaucum, L.)R. Br.)和水稻(Oryza sativa (L., 1753))是最广泛食用的食物。本研究是改善塞内加尔这两种谷物的保护工作的一部分,通过评估隶属于小米和水稻的鳞翅目Corcyra cephalonica (stainon)造成的数量和质量损失。为此,从花生盆地(Diourbel)中心的一个地区收集小米和大米样本,在寒冷中消毒,并用来自同一地区的头角孢虫卵感染。这些受感染的样本在连续两代的发育期间被跟踪。样品在被感染前和一个幼虫周期后被仔细检查。结果表明,水稻籽粒水分含量(平均为10.75%±0.4249%)高于小米(平均为9.40%±0.3944%),且等级差异极显著(p值= 0.0001),对小米籽粒的侵食率(36.31%±25.18%)是大米(12.95%±6.69%)的3倍,但差异不显著(p值= 0.296 bb0 0.05)。谷粒的损失率(8.67%±5.07%)是水稻(2.86%±2.75%)的4倍,差异不显著(p值= 0.835 > 0.05)。多元线性回归表明,侵染率在谷子上存在代效应,而失重率在水稻上存在代效和代效。
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Evaluation of Quantitative and Qualitative Losses on Millet and White Rice in Storage Grains Caused by Corcyra cephalonica (Stainton) in Senegal
In Senegal, millet (Pennisetum glaucum (L.) R. Br.) and rice (Oryza sativa (L., 1753)) are the most widely consumed foods. This study is part of improving the conservation of these two cereals in Senegal by assessing the quantitative and qualitative losses caused by a lepidopteran, Corcyra cephalonica (Stainton) subservient to millet and rice stocks. For this purpose, samples of millet and rice from an area of the center of the groundnut basin (Diourbel) were collected, sterilized in the cold and infected with C. cephalonica eggs from the same locality. These infected samples were tracked during a development period of two successive generations. The samples were scrutinized before being infected and after a larval cycle of codling moth. The results showed that rice grains are richer in water (10.75% ± 0.4249%, on average) than millet (9.40% ± 0.3944%, on average) and the difference in rank is very significant (p-value = 0.0001 Moreover, the attack percentage on millet grains is three times higher (36.31% ± 25.18%) than rice (12.95% ± 6.69%) with a non-significant difference (p-value = 0.296 > 0.05). A similar trend is observed at the loss percentage, which is four times higher with millet grains (8.67% ± 5.07%) than rice (2.86% ± 2.75%) with a non-significant difference (p-value = 0.835 > 0.05). A multiple linear regression showed a generation effect on millet for the attack percentage and a generation and cereal effect for the percentage of weight loss on rice.
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