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Fininsa, Chemeda; Yuen, Jonathan

doi:10.1023/a:1019970308576

Cited by 23 publications

(5 citation statements)

References 22 publications

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“…The advantage of intercropping in controlling crop diseases has been reported in numerous intercropping systems (Cao et al., 2015; Fernández‐Aparicio et al., 2010; Fininsa & Yuen, 2002; Schoeny et al., 2010). The results of our study suggested that intercropping chickpea–flax can be an effective strategy to reduce Ascochyta blight in chickpea.…”

Section: Discussionmentioning

confidence: 95%

“…Moreover, Royal in 50C/50F mixture was more effective in limiting Ascochyta blight than in alternate rows in most cases. Fininsa and Yuen (2002) reported that crop arrangement in separate rows was less effective than in mixed rows in controlling common bacterial blight in bean–cereal intercropping system. These results may derive from a barrier effect provided by the non‐host plants and/or an alteration of microclimate of the intercropping system.…”

Section: Discussionmentioning

confidence: 99%

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Intercropping chickpea–flax for yield and disease management

et al. 2023

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

Intercropping chickpea–flax for yield and disease management

et al. 2023

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Section: Discussionmentioning

confidence: 99%

“…Given that these suppressive effects were dependent on year, it is likely that weather may have played a role. The drier May of 2018 may have hindered the development of yellow rust in wheat mono-cultures and when intercropped with Columbo (Enikuomehin et al, 2010;Fininsa & Yuen, 2002;Te Beest et al, 2008; but see Schoeny et al (2010)). Collectively, these findings suggest that although disease suppression benefits can be realized in wheat-faba bean intercropping systems, these benefits are not always consistent between years and cultivars and certain diseases may actually proliferate.…”

Section: Disease Severitymentioning

confidence: 99%

Wheat and faba bean intercropping and cultivar impacts on morphology, disease, and yield

De Long,

van Malland,

de Buck

et al. 2023

Agronomy Journal

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Modern agriculture relies heavily on synthetic fertilizer and pesticide inputs. Pressure is increasing to find alternatives that reduce such inputs. In comparison to monocultures, intercropping can reduce plant diseases and increase yield, thereby reducing inputs and maximizing land use efficiency. However, knowledge gaps remain regarding which crop and cultivar combinations maximize such benefits. Here, we grew two wheat (Triticum aestivum L.) and six faba bean (Vicia faba L.) cultivars in monoculture and intercrops over three seasons and measured plant morphology, disease prevalence and yield. Wheat ear development was slower in monocultures but varied by cultivar and year. Wheat cultivars senesced faster in monocultures versus certain faba bean intercrop combinations. In both wheat cultivars, Fusarium spp. severity was higher, while yellow rust (Puccinia striiformis f.sp. tritici Westend.) was lower in monocultures versus intercropped plots but varied by year and faba bean cultivar. Chocolate spot (Botrytis fabae Sardiña) in faba bean was higher in the cultivar ‘Louhi’ when grown in monoculture. Wheat cultivars yielded higher in monoculture versus intercropped plots. Faba bean yield was higher in monocultures but depended on wheat cultivar and year. Land equivalent ratios (LER) were not affected by interactions between cultivars or years but were always above one in intercropped plots. This indicates that it is always more efficient for yield to intercrop. Our results show that the benefits of intercropping with different wheat and faba bean cultivars varied, indicating that specific goals (i.e., disease suppression, yield) should be considered when selecting wheat‐faba bean cultivar combinations.This article is protected by copyright. All rights reserved

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“…Foliar bacterial diseases are pathosystems polycyclic, in which the bacterial spreads between leaves and plants, mainly by water splash [15,16]. Several other studies with bacterial diseases have shown the above-mentioned models as a better fit for pathogen incidence data, both in the nursery and in the field [15,[17][18][19].…”

Section: Discussionmentioning

confidence: 99%

Temporal Analysis of Bacterial Leaf Blight in Clonal Eucalyptus Plantations in Brazil

Oliveira

Fernandes

Junior

et al. 2019

Forests

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Bacterial leaf blight is an important disease in Eucalyptus spp. plantations since it can cause defoliation, affecting plant development. A better understanding of the disease epidemiology is important for its control. Thus, the aim of this study was to analyze bacterial leaf blight temporal progress in the initial establishment in the field of different eucalyptus clones. It also targeted to correlate the incidence and area under the disease-progress curve (AUDPC), with variables related to growth and meteorological data. Bacterial leaf blight progress curves were analyzed based on incidence and carried out AUDPC calculation. Pearson’s coefficient was used to verify the correlations between bacterial leaf blight incidence and AUDPC with clone initial growth and meteorological factors. Gompertz or Logistic models were the best adjustment to data, according to the assessed clones. A difference in AUDPC was observed between clones regarding bacterial leaf blight incidence during the assessment period. Clones were divided into three groups with different tolerance levels. A negative correlation was observed between bacterial leaf blight incidence, AUDPC, and growth variables of clones. During the assessment period, average air temperature, rainfall, and air relative humidity favored disease incidence. The clones A469, VM01, and 373 were the most tolerant to the disease.

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Cited by 23 publications

References 22 publications

Intercropping chickpea–flax for yield and disease management

Intercropping chickpea–flax for yield and disease management

Wheat and faba bean intercropping and cultivar impacts on morphology, disease, and yield

Temporal Analysis of Bacterial Leaf Blight in Clonal Eucalyptus Plantations in Brazil

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