2007
DOI: 10.1007/s11104-006-9161-9
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Wheat powdery mildew and foliar N concentrations as influenced by N fertilization and belowground interactions with intercropped faba bean

Abstract: Wheat (Triticum aestivum L.) production by intercropping with faba bean (Vicia faba L.) has increased in popularity but is often associated with severe wheat powdery mildew (Blumeria graminis (DC.) Speer). Very little is known about the effects of below-and aboveground interspecific interactions on wheat nitrogen (N) nutrition and occurrence of wheat powdery mildew. A greenhouse pot experiment examined four N application rates and three belowground partition types (plastic film, nylon mesh partition or no part… Show more

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Cited by 50 publications
(32 citation statements)
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“…The practice of cereal and legume intercropping often results in increased resource self-sufficiency and higher yield Yu et al, 2015). The present finding is in accordance with the results of previous research (i.e., intercropping of wheat and faba bean resulted in a yield advantage over the corresponding monocultures based on LER; Chen et al, 2007;Agegnehu et al, 2008). In the present study, we found wheat and faba bean intercropping enhanced wheat P acquisition but exerted no effect on faba bean P acquisition (Table 6).…”
Section: Effects Of Cereal and Legume Intercropping On Crop Productionsupporting
confidence: 93%
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“…The practice of cereal and legume intercropping often results in increased resource self-sufficiency and higher yield Yu et al, 2015). The present finding is in accordance with the results of previous research (i.e., intercropping of wheat and faba bean resulted in a yield advantage over the corresponding monocultures based on LER; Chen et al, 2007;Agegnehu et al, 2008). In the present study, we found wheat and faba bean intercropping enhanced wheat P acquisition but exerted no effect on faba bean P acquisition (Table 6).…”
Section: Effects Of Cereal and Legume Intercropping On Crop Productionsupporting
confidence: 93%
“…These studies clearly confirmed that the interactions were dynamic within and among species during the growing season, and plant interaction stimulated N and P transfer from faba bean to wheat during certain growth stages (Li et al (2014a. Increasing attention has focused on wheat and faba bean intercropping (Xiao et al, 2004;Chen et al, 2007;Qiao et al, 2016), but so far there has been no clear clue on interspecies competition and facilitation during their coexisting development stages under field conditions, particularly at different nutrient levels. Increasing attention has focused on wheat and faba bean intercropping (Xiao et al, 2004;Chen et al, 2007;Qiao et al, 2016), but so far there has been no clear clue on interspecies competition and facilitation during their coexisting development stages under field conditions, particularly at different nutrient levels.…”
Section: Wheat Growth Is Stimulated By Interspecific Competition Aftementioning
confidence: 66%
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“…Similarly, mixed results were found for effects of intercropping cowpea on insect pests (Jackai and Daoust 1986). Also, intercropping wheat with faba beans can lead to higher disease infection with powdery mildew (Blumeria graminis) in wheat (Chen et al 2007), possibly because of higher levels of foliar N in wheat leaves, and also because of a moister climate in the intercrop than in the wheat monocrop.…”
Section: Benefits Of Intercropping Grain Legumesmentioning
confidence: 99%
“…Powdery mildew exhibits an extended logistic period in extremely susceptible plant varieties (Wang and Zhang, 1998) and the occurrence and severity of this disease are determined by weather factors (Te Beest et al, 2008). The spatial epidemiology of wheat powdery mildew was affected mainly by wind and airflow, and the temporal dynamics were affected primarily by temperature and humidity (Bruggmann et al, 2005;Chen et al, 2007;Johnson et al, 1994;Last, 1953;Moschini and P erez, 1999;Schepers et al, 1996;Te Beest et al, 2008). The relationship between weather and disease epidemics was examined by Johnson et al (1994) using linear discriminant and logistic regression analyses.…”
Section: Introductionmentioning
confidence: 99%