2017
DOI: 10.3389/fpls.2017.00973
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Spatial Spread of the Root Parasitic Weed Phelipanche aegyptiaca in Processing Tomatoes by Using Ecoinformatics and Spatial Analysis†

Abstract: Egyptian broomrape (Phelipanche aegyptiaca) is one of the main threats to tomato production in Israel. The seed bank of P. aegyptiaca rapidly develops and spreads in the field. Knowledge about the spatio-temporal distribution of such weeds is required in advance of emergence, as they emerge late in their life cycle when they have already caused major crop damage. The aim of this study is to reveal the effects of two major internal infestation sources: crop rotation and infestation history; and one external sou… Show more

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Cited by 11 publications
(2 citation statements)
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References 34 publications
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“…Thus, the development and higher level of infection in south and central part of the Republic of Moldova could be due to the increased temperature in these regions compared to northern parts. The annual growth rate of broomrape varied between years and was significantly correlated with temperatures in certain months (Cohen et al, 2017). We therefore analyzed climate data (temperature and humidity) for all regions of Moldova between May and July 2014the period of sunflower growth and the most favorable period for broomrape development (Tab.…”
Section: Resultsmentioning
confidence: 99%
“…Thus, the development and higher level of infection in south and central part of the Republic of Moldova could be due to the increased temperature in these regions compared to northern parts. The annual growth rate of broomrape varied between years and was significantly correlated with temperatures in certain months (Cohen et al, 2017). We therefore analyzed climate data (temperature and humidity) for all regions of Moldova between May and July 2014the period of sunflower growth and the most favorable period for broomrape development (Tab.…”
Section: Resultsmentioning
confidence: 99%
“…Their simulation allowed for only a single weed plant (absent or present with a variety of growth stages) at each site position. More complex CA-E models have been used recently, with defined levels and types of weed flora possible at each CA-E point [36,37]. Richter, et al [38] presented an early CA-P model by using matrix population modelling within each sub-population.…”
Section: Spatial Replication and Subpopulationsmentioning
confidence: 99%