Biocontrol Agents as Strategy of Agro-ecosystem Management to Restitution of Productive Soils for Food Production

Ramírez-Guzmán, K. Nathiely; Torres-León, Cristian; Saldaña-Mendoza, Salvador A.; Martínez‐Medina, Gloria A.; Tranier, Marie; Roussos, Sévastianos; Quiroz, Reynaldo de la Cruz; Parra‐Saldívar, Roberto; Flores‐Gallegos, Adriana C.; Rodríguez‐Herrera, Raúl

doi:10.1007/978-981-13-1187-1_10

Cited by 4 publications

(3 citation statements)

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“…Biosecurity is regarded broadly as ‘a strategic and integrated approach to analysing and managing relevant risks to human, animal and plant life and health and associated risks for the environment' [ 107 ], or ‘the protection of the environment, economy and health of living beings from various diseases, bioterrorism and pests' [ 108 , 109 ].…”

Section: Glossary Of Termsmentioning

confidence: 99%

Use of meteorological data in biosecurity

Hemming

Macneill

2020

Emerging Topics in Life Sciences

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Pests, pathogens and diseases cause some of the most widespread and damaging impacts worldwide — threatening lives and leading to severe disruption to economic, environmental and social systems. The overarching goal of biosecurity is to protect the health and security of plants and animals (including humans) and the wider environment from these threats. As nearly all living organisms and biological systems are sensitive to weather and climate, meteorological, ‘met’, data are used extensively in biosecurity. Typical applications include, (i) bioclimatic modelling to understand and predict organism distributions and responses, (ii) risk assessment to estimate the probability of events and horizon scan for future potential risks, and (iii) early warning systems to support outbreak management. Given the vast array of available met data types and sources, selecting which data is most effective for each of these applications can be challenging. Here we provide an overview of the different types of met data available and highlight their use in a wide range of biosecurity studies and applications. We argue that there are many synergies between meteorology and biosecurity, and these provide opportunities for more widespread integration and collaboration across the disciplines. To help communicate typical uses of meteorological data in biosecurity to a wide audience we have designed the ‘Meteorology for biosecurity’ infographic.

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Section: Glossary Of Termsmentioning

confidence: 99%

Use of meteorological data in biosecurity

Hemming

Macneill

2020

Emerging Topics in Life Sciences

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“…However, it has been reported that the excessive application of these chemicals produces resistance in the phytopathogens to be combated, as well as harmful effects on the environment and the health of consumers (associated with the development of cancer, neurological diseases, reproductive disorders, diabetes, etc. ), which has generated the need to seek safer and more ecological alternatives for crop protection (Ramírez‐Guzmán et al, 2018; Wang & Zhuang, 2019; Pacios‐Michelena et al., 2021;; Rani et al., 2021;; Wang et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

“…To date, multiple studies have been reported on the effectiveness of Trichoderma spp. to combat different phytopathogens (Ramírez‐Guzmán et al., 2018) such as Alternaria alternata , Fusarium spp., Cytospora mandshurica (Ji et al., 2021), Colletotrichum (Elamathi et al., 2018), Botrytis (Park et al., 2019), Cylindrocarpon destructans , Rhizoctonia solani , Sclerotium rolfsii , Pythium spp. (Kumari & Srividhya, 2020), and so on.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the biocontrol effect of Trichoderma sp. Trs GT2 extracts produced by fermentation processes against Botrytis cinerea Btcr GM3

Saldaña-Mendoza

Chávez‐González

Ramírez-Guzman

et al. 2023

Environmental Quality Mgmt

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In the present work, the evaluation of the use of Trichoderma spp. for controlling different phytopathogens of agricultural importance (Fusarium oxysporum, Rhizoctonia solani, Sclerotinia sclerotiorum, Botrytis cinerea, Colletotrichum gloeosporioides, and Phytophthora sp.) was carried out. Confrontation assays by dual culture, volatile metabolites (overlapping plate assay), and diffusible metabolites (poison medium assay) were performed to identify and select the Trichoderma strain with a greater spectrum of inhibition and the most sensitive phytopathogen. The production of hydrolytic enzymes associated with biological control by the Trichoderma sp. Trs GT2 strain (chitinase, cellulase, amylase, and lipase) was evaluated. Subsequently, the use of solid‐state and submerged fermentation to produce extracts with antagonistic activity against B. cinerea was evaluated, and the production of specific activity β 1–3 glucanase was compared. It was found that Trichoderma sp. Trs GT2 presented the greatest spectrum of inhibition against the phytopathogens evaluated, resulting in the strain of B. cinerea being the most sensitive microorganism to its effects (percentages of inhibition: dual culture 100%, volatile metabolites 100% and diffusible metabolites 28.24%). The Trichoderma sp. Trs GT2 strain showed amylase, cellulase, and chitinase activity. It also produced activity titers β 1–3 glucanase of 13.22 U/g by solid‐state fermentation (SSF) and 8.19 U/mL by submerged fermentation, as well as specific activities of (1.38 U/mg) and (14.23 U/mg), respectively. The extracts produced by both fermentation systems did not present an antagonistic effect against B. cinerea; this can be attributed to the need for interaction with the phytopathogen in question for the induction of metabolites with antagonistic activity, as well as to the confusion that the evaluation of the antagonistic effect of diffusible metabolites, through the cellophane paper technique, can generate in which the mechanism of nutrient competition can cause the inhibitory effect. This work shows that the ability of one microorganism to exert biocontrol against another can vary depending on the mechanism through which it performs and demonstrates that the antagonist‐phytopathogenic interaction can promote the production of metabolites with antagonistic activity.

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