منابع مشابه
Root Rot Detection in Sugar Beet Using Digital Multispectral Video
A study to determine whether root rot infestations can be detected using high spatial resolution digital multispectral video (DMSV) data was conducted in the Imperial Valley of California. DMSV data were collected on two dates over 25 fields during the summer of 1999 using a light aircraft. The DMSV images included four spectral bands centered on 530 nm, 570 nm, 650 nm and 750 nm, with nominal ...
متن کاملAntagonistic Activities of Trichoderma spp. on Phytophthora Root Rot of Sugar Beet
Trichoderma species are among important antagonists of plant pathogenic fungi. The main purpose of this study was to evaluate the biocontrol potential of native Trichoderma spp. isolates from sugar beet fields against Phytophthora drechsleri and P. cryptogea, the causal agents of Phytophthora root rot of sugar beet. During 2007–08, 85 isolates of Trichoderma spp. from sugar beet fields in eight...
متن کاملInfluence of glyphosate on Rhizoctonia and Fusarium root rot in sugar beet.
This study tests the effect of glyphosate application on disease severity in glyphosate-resistant sugar beet, and examines whether the increase in disease is fungal or plant mediated. In greenhouse studies of glyphosate-resistant sugar beet, increased disease severity was observed following glyphosate application and inoculation with certain isolates of Rhizoctonia solani Kuhn and Fusarium oxys...
متن کاملEffect of plant hormones on sucrose uptake by sugar beet root tissue discs.
Abscisic acid (ABA), auxins, cytokinins, gibberellic acid, alone or in combination were tested for their effects on short-term sucrose uptake in sugar beet (Beta vulgaris cv USH-20) roots. The effect of ABA on active sucrose uptake varied from no effect to the more generally observed 1.4-to 3.0-fold stimulation. A racemic mixture of ABA and its trans isomer were more stimulatory than ABA alone....
متن کاملThe optimization of root nutrient content for increased sugar beet productivity using an artificial neural network
Conventional procedures are inadequate for optimizing the concentrations ofnutrients to increase the sugar yield. In this study, an artificial neural network(ANN) was used to optimize the Ca, Mg, N, K and Na content of the storage rootto increase sugar yield (Y) by increasing both sugar content (SC) and root yield(T). Data from three field experiments were used to produce a wide range ofvariati...
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ژورنال
عنوان ژورنال: Transactions of the Botanical Society of Edinburgh
سال: 1868
ISSN: 0374-6607
DOI: 10.1080/03746606809468991