Abundance of the arbuscular mycorrhizal fungal taxa associated with the roots and rhizosphere soil of different durum wheat cultivars in the Canadian prairies

Ellouze, Walid; Hamel, Chantal; Singh, Asheesh K.; Mishra, Vachaspati; DePauw, R. M.; Knox, Ron

doi:10.1139/cjm-2017-0637

Cited by 27 publications

(26 citation statements)

References 53 publications

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“…Therefore, this pipeline was effective in root trait studies to identify most diverse genotypes from a germplasm set; however further improvements are needed to enable complex organism interaction studies and field grown genotype roots sample assessments. For example, the image based root phenotyping methods still need additional technological refinement and advancement to integrate microorganism-root interaction phenotyping and studies [11,12,118,119].…”

Section: Rsa Trait Measurementsmentioning

confidence: 99%

Computer vision and machine learning enabled soybean root phenotyping pipeline

et al. 2020

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Background: Root system architecture (RSA) traits are of interest for breeding selection; however, measurement of these traits is difficult, resource intensive, and results in large variability. The advent of computer vision and machine learning (ML) enabled trait extraction and measurement has renewed interest in utilizing RSA traits for genetic enhancement to develop more robust and resilient crop cultivars. We developed a mobile, low-cost, and high-resolution root phenotyping system composed of an imaging platform with computer vision and ML based segmentation approach to establish a seamless end-to-end pipeline-from obtaining large quantities of root samples through image based trait processing and analysis. Results: This high throughput phenotyping system, which has the capacity to handle hundreds to thousands of plants, integrates time series image capture coupled with automated image processing that uses optical character recognition (OCR) to identify seedlings via barcode, followed by robust segmentation integrating convolutional autoencoder (CAE) method prior to feature extraction. The pipeline includes an updated and customized version of the Automatic Root Imaging Analysis (ARIA) root phenotyping software. Using this system, we studied diverse soybean accessions from a wide geographical distribution and report genetic variability for RSA traits, including root shape, length, number, mass, and angle. Conclusions: This system provides a high-throughput, cost effective, non-destructive methodology that delivers biologically relevant time-series data on root growth and development for phenomics, genomics, and plant breeding applications. This phenotyping platform is designed to quantify root traits and rank genotypes in a common environment thereby serving as a selection tool for use in plant breeding. Root phenotyping platforms and image based phenotyping are essential to mirror the current focus on shoot phenotyping in breeding efforts.

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Section: Rsa Trait Measurementsmentioning

confidence: 99%

Computer vision and machine learning enabled soybean root phenotyping pipeline

et al. 2020

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“…A compatible relationship established between AM fungi and host plants can lead to improved health of greenhouse crops. Also, the genotype of the cultivated crops shapes the species composition of AM fungal microflora leading to better prevention of disease outbreaks [19]. These ideas have been relatively unsupported in conventional agricultural systems, in favor of reliance upon the use of manufactured chemical pesticides for disease control.…”

Section: Am Fungi Can Play a Significant Role In Crop Health Improvementmentioning

confidence: 99%

Utility of Arbuscular Mycorrhizal Fungi for Improved Production and Disease Mitigation in Organic and Hydroponic Greenhouse Crops

Mishra¹,

Ellouze²,

Howard³

2018

J Hortic

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This article discusses the utility of AM fungi in vegetable crop organic and hydroponic greenhouse production systems. A significant amount of work on field and organic crops utilizing AM fungi have proven their effectiveness in vegetable crops. The current article also addresses the major benefits of AM fungal application in nonhydroponic greenhouses, such as disease mitigation and improved production, and envisages the idea of utilizing some of these benefits for hydroponic greenhouse crops by designing appropriate experimental trials and performing a cost-benefit analysis while conducting such trials. AbstractArbuscular mycorrhizal (AM) fungi are considered to be enormously important in contemporary agriculture and horticulture for their ability to improve crop disease and fertility management in commercial field and greenhouse crop production. Recently, commercial greenhouse producers have begun using AM inoculum to increase yields and provide sustainable growing conditions in organic and hydroponic production systems. However, strong evidence in support of their effectiveness in hydroponic production is still lacking. Future research is expected to address benefits of the use of AM fungi in hydroponic greenhouse crops, such as defense against pathogen, herbivore attack and the effective management of photo-assimilates by plants, which are essential for fruit production. In order to increase our understanding of the usefulness of AM fungi in hydroponic greenhouses, large-scale trial and a cost-benefit evaluation of the process are needed. This article discusses the use of AM fungi for improving organic and hydroponic greenhouse crop production and disease control, considering that AM fungi inoculations in soil-based greenhouses and fields have proven to be very effective.

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“…Crop species differ in affecting the soil microbiomes in the soil and the roots of the subsequent durum wheat [80,129]. For example, pea and chickpea differ in their capacity to influence associated rhizobacterial community composition.…”

Section: Crop Species and Genotypesmentioning

confidence: 99%

Agronomic Advancement in Tillage, Crop Rotation, Soil Health, and Genetic Gain in Durum Wheat Cultivation: A 17-Year Canadian Story

Niu

Ruan

et al. 2018

Agronomy

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The global demands for various grains, including durum wheat (Triticum turgidum L. subsp. durum (Desf.) Husn.), are expected to increase substantially in the coming years, due to the ever-growing human population’s needs for food, feed, and fuel. Thus, providing consistent or increased durum grain to the world market is one of the priorities for policy-makers, researchers, and farmers. What are the major achievements in agronomic advancement for durum wheat cultivation in recent decades? How might the current cropping systems be improved to increase crop yield and quality and improve resource use efficiencies while minimizing input costs and decreasing negative impact on the environment? Canada is one of the major durum wheat producers in the world, as Canada contributes about 50% to global trade of durum grain. Canada’s research achievements in durum wheat might serve as a guide for advancing the cultivation of the crop in other regions/countries on the planet. This review summarizes the major Canadian research findings in the aspects of durum wheat agronomics during the period 2001 to 2017 years. It highlights the main advancements in seeding and tillage, crop rotation and diversification, and use of pulse-induced microbiomes to improve soil health and feedback mechanisms. The genetic gain and breeding for resistance against abiotic and biotic stresses are discussed. Finally, we identified the main constraints and suggested some near-term research priorities. The research findings highlighted in this review will be of use for other areas on the planet to increase durum wheat productivity, improve soil fertility and health, and enhance long-term sustainability.

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Abundance of the arbuscular mycorrhizal fungal taxa associated with the roots and rhizosphere soil of different durum wheat cultivars in the Canadian prairies

Cited by 27 publications

References 53 publications

Computer vision and machine learning enabled soybean root phenotyping pipeline

Computer vision and machine learning enabled soybean root phenotyping pipeline

Utility of Arbuscular Mycorrhizal Fungi for Improved Production and Disease Mitigation in Organic and Hydroponic Greenhouse Crops

Agronomic Advancement in Tillage, Crop Rotation, Soil Health, and Genetic Gain in Durum Wheat Cultivation: A 17-Year Canadian Story

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