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首页> 外文期刊>Journal of the Science of Food and Agriculture >Identification of predictor parameters to determine agro-industrial compost suppressiveness against Fusarium oxysporum and Phytophthora capsici diseases in muskmelon and pepper seedlings
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Identification of predictor parameters to determine agro-industrial compost suppressiveness against Fusarium oxysporum and Phytophthora capsici diseases in muskmelon and pepper seedlings

机译:确定预测参数以确定农用工业堆肥对甜瓜和辣椒幼苗中的尖孢镰刀菌和辣椒疫病的抑制作用

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BACKGROUNDThe lack of reliable prediction tools for evaluation of the level and specificity of compost suppressiveness limits its application. In our study, different chemical, biological and microbiological parameters were used to evaluate their potential use as a predictor parameter for the suppressive effect of composts against Fusarium oxysporum f. sp. melonis (FOM) and Phytophthora capsici (P. capsici) in muskmelon and pepper seedlings respectively. Composts were obtained from artichoke sludge, chopped vineyard pruning waste and various agro-industrial wastes (C1: blanched artichokes; C2: garlic waste; C3: dry olive cake).
机译:背景技术缺乏用于评估堆肥抑制性的水平和特异性的可靠预测工具限制了其应用。在我们的研究中,使用不同的化学,生物学和微生物学参数来评估其潜在用途,以此作为预测堆肥对尖孢镰刀菌f抑制作用的预测指标。 sp。甜瓜和辣椒幼苗中的甜瓜(FOM)和辣椒疫霉(P. capsici)。从洋蓟污泥,切碎的葡萄园修剪废弃物和各种农用工业废弃物(C1:变白的朝鲜蓟; C2:大蒜废弃物; C3:干橄榄饼)中获得堆肥。

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