Crop Diversification to Control Rust in Faba Bean Caused by Uromyces viciae-fabae

Villegas-Fernández, Ángel M.; Amarna, Ahmed A.; Moral, Juan; Rubiales, Diego

doi:10.3390/jof9030344

Cited by 3 publications

(3 citation statements)

References 43 publications

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“…Equally, barley has proved to be successful in reducing broomrape (Orobanche crenata Forsk.) infestation in faba bean [34] and also to be effective in controlling rust disease in faba bean [35]. In these cases, the intercropping systems were different from those assessed in this work, so it would be necessary to integrate them in the best way to maximize the benefits of faba bean/barley intercropping.…”

Section: Discussionmentioning

confidence: 92%

Intercropping as a Strategy for Weed Management in Faba Bean (Vicia faba L.)

Villegas-Fernández,

Amarna,

Moral

et al. 2024

Agronomy

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Faba bean is an important legume crop worldwide, which is grown both for food and feed. As for many legume crops, postemergence weed control is difficult. The aim of this work was to assess the potential of intercropping in weed management by assessing the effect of mixing faba bean with different crops (wheat, barley, and pea) on weeds in the South of Spain. Four field trials were conducted over four consecutive seasons, and the results found that the addition of alternate intercropping of faba bean and barley achieved high levels of weed control, both for coverage and biomass (92.7% and 76.6%, respectively). Intercropping with wheat did not reduce weed coverage but did decrease weed biomass by 46.1% as compared with the faba bean monocrop. Intercropping with pea did not provide significant reductions in weed coverage or weed biomass. The diversity of the weed community was not altered by the different crop combinations tested. Additional experiments under controlled conditions were carried out to determine the possible role of barley allelopathy in weed suppression. A strong allelopathic effect entailing a reduction in the number of plants and biomass was detected for four weeds including Sinapis arvensis, Polypogon monspeliensis, Matricaria camomilla, and Medicago truncatula. It can be concluded that intercropping faba bean with barley is an excellent strategy for weed control in Southern Spain.

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Section: Discussionmentioning

confidence: 92%

Intercropping as a Strategy for Weed Management in Faba Bean (Vicia faba L.)

Villegas-Fernández,

Amarna,

Moral

et al. 2024

Agronomy

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“…Similar results reported that intercropping can effectively control foliar and soil-borne diseases in CSFL crops ( Schoeny et al., 2010 ; Mousa and El-Sayed, 2016 ; Zhang et al., 2019 ; Lv et al., 2020 ). The disease reduction is assumed to arise from differences in host physiology, direct pathogen suppression, modified canopy microclimates, decreased host plant density, root exudates, and intercrop barrier effects ( Fernández-Aparicio et al., 2010 ; Schoeny et al., 2010 ; Boudreau, 2013 ; Villegas-Fernández et al., 2023 ). In addition, intercropping has been found to mitigate the effects of harmful weeds.…”

Section: Cool-season Food Legumes In the Intercropping Systemmentioning

confidence: 99%

Improvement of cool-season food legumes for adaptation to intercropping systems: breeding faba bean for intercropping with durum wheat as a case study

Abou Khater,

Maalouf,

Balech

et al. 2024

Front. Plant Sci.

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Although the transition toward a more sustainable agricultural system is sparking the interest of scientists and farmers around the globe, breeding programs are still focusing on optimizing cultivars intended for the monoculture system, and most cultivars available on the market are not suitable for intercropping. The incorporation of versatile cool-season food legumes (CSFLs) in the intercropping system is a promising way toward more diversified and sustainable cropping systems. However, as the selection of good-performing cultivars under sole cropping does not always lead to a good performance in intercropping, the development of an alternative breeding scheme for intercropping is now a necessity. The case study of faba bean–wheat intercropping was used to select for traits associated with better performance of faba bean, resulting in identifying the combined grain yield, 100-seed weight, number of pods per plant, and canopy height as key traits for faba bean–wheat intercropping suitability. Incorporating these traits in the breeding programs would be the cornerstone of the prospective transition.

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“…The uredial stage of U. pisi produces the infective structures that affects pea crops in temperate regions while in warmest countries the aecial stage of U. viciae-fabae is the epidemic one [ 8 ]. Although agronomical practices and chemical control of pea rusts have been explored to reduce their incidence [ 9 – 15 ], the use of resistant cultivars is considered as the most effective, economic, and eco-friendly strategy for rust control [ 16 ]. To face the challenge of developing new rust resistant varieties, the reference genomes recently available provide important resources for pea breeding [ 17 – 20 ].…”

Section: Introductionmentioning

confidence: 99%

RGB image-based method for phenotyping rust disease progress in pea leaves using R

Osuna-Caballero,

Olivoto,

Jiménez-Vaquero

et al. 2023

Plant Methods

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Background Rust is a damaging disease affecting vital crops, including pea, and identifying highly resistant genotypes remains a challenge. Accurate measurement of infection levels in large germplasm collections is crucial for finding new resistance sources. Current evaluation methods rely on visual estimation of disease severity and infection type under field or controlled conditions. While they identify some resistance sources, they are error-prone and time-consuming. An image analysis system proves useful, providing an easy-to-use and affordable way to quickly count and measure rust-induced pustules on pea samples. This study aimed to develop an automated image analysis pipeline for accurately calculating rust disease progression parameters under controlled conditions, ensuring reliable data collection. Results A highly efficient and automatic image-based method for assessing rust disease in pea leaves was developed using R. The method’s optimization and validation involved testing different segmentation indices and image resolutions on 600 pea leaflets with rust symptoms. The approach allows automatic estimation of parameters like pustule number, pustule size, leaf area, and percentage of pustule coverage. It reconstructs time series data for each leaf and integrates daily estimates into disease progression parameters, including latency period and area under the disease progression curve. Significant variation in disease responses was observed between genotypes using both visual ratings and image-based analysis. Among assessed segmentation indices, the Normalized Green Red Difference Index (NGRDI) proved fastest, analysing 600 leaflets at 60% resolution in 62 s with parallel processing. Lin’s concordance correlation coefficient between image-based and visual pustule counting showed over 0.98 accuracy at full resolution. While lower resolution slightly reduced accuracy, differences were statistically insignificant for most disease progression parameters, significantly reducing processing time and storage space. NGRDI was optimal at all time points, providing highly accurate estimations with minimal accumulated error. Conclusions A new image-based method for monitoring pea rust disease in detached leaves, using RGB spectral indices segmentation and pixel value thresholding, improves resolution and precision. It rapidly analyses hundreds of images with accuracy comparable to visual methods and higher than other image-based approaches. This method evaluates rust progression in pea, eliminating rater-induced errors from traditional methods. Implementing this approach to evaluate large germplasm collections will improve our understanding of plant-pathogen interactions and aid future breeding for novel pea cultivars with increased rust resistance.

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Crop Diversification to Control Rust in Faba Bean Caused by Uromyces viciae-fabae

Cited by 3 publications

References 43 publications

Intercropping as a Strategy for Weed Management in Faba Bean (Vicia faba L.)

Intercropping as a Strategy for Weed Management in Faba Bean (Vicia faba L.)

Improvement of cool-season food legumes for adaptation to intercropping systems: breeding faba bean for intercropping with durum wheat as a case study

RGB image-based method for phenotyping rust disease progress in pea leaves using R

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