Plant growth promoting bacteria in agriculture: Two sides of a coin

Ramakrishna, Wusirika; Yadav, Radheshyam; Li, Kefeng

doi:10.1016/j.apsoil.2019.02.019

Cited by 242 publications

(162 citation statements)

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“…Soil is complex and dynamic in which its biological activity is mostly governed by dominant bacterial species. The dominant bacterial genera such as Bacillus, Pseudomonas, Rhizobium, and Azospirillum influence soil microenvironments and play roles in soil biogeochemical cycling and ecological processes which confer beneficial effects on soil and crop productivity 1,11 .…”

Section: Discussionmentioning

confidence: 99%

“…Nowadays, modern agricultural practices focus on the use of biofertilizers to move towards agricultural and environmental sustainability. One approach to reach the goal is to abandon the use of chemical fertilizers, herbicides, and pesticides because they have enhanced a range of environmental problems such as reduction in soil quality and biodiversity 1 . The use of green fertilizers or biofertilizers instead develops an eco-friendly application.…”

Section: Introductionmentioning

confidence: 99%

“…Bacteria that confer many advantages to plants and are potentially useful for plant growth stimulation are termed as plant growth-promoting bacteria (PGPB). The major groups of PGPB belong to the alpha-, beta-, and gamma- Proteobacteria , Actinobacteria , Bacteroidetes as well as Firmicutes 1 , 2 . Using PGPB as biofertilizers provides multiple benefits in agriculture by enhancing crop productivity and plant nutrient content and suppressing plant pathogens 1 , 3 , 4 .…”

Section: Introductionmentioning

confidence: 99%

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Inoculation of Ensifer fredii strain LP2/20 immobilized in agar results in growth promotion and alteration of bacterial community structure of Chinese kale planted soil

Pongsilp

Nimnoi

2020

Sci Rep

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In our former research, we succeeded in using agar, alginate, and perlite as immobilization materials to maintain long-term survival of the inoculant, Ensifer fredii LP2/20, in a controlled glasshouse. Therefore the information on the establishment and activity of the inoculant to promote plant growth under field conditions, the effects of the inoculant on the soil microbial communities and specific microbial taxa, and the association between the inoculant and soil elements merit further studies. Here, we found that agar was the most suitable material that supported the establishment of the inoculant under field conditions. RNA-based analysis showed that E. fredii LP2/20 immobilized in agar was still metabolically active at day 50 after being introduced into soil. Inoculation of E. fredii LP2/20 immobilized in agar conferred the highest plant dry weight (up to 89.94%) and all plant elements including total N (9.55%), P (17.94%), K (68.42%), Ca (39.77%), Mg (30.76%), Fe (29.85%), and Zn (22.44%). Inoculation of E. fredii LP2/20 immobilized in agar increased soil chemicals including soil organic matter (99.02%), total N (272.48%), P (31.75%), K (52.74%), Fe (51.06%), and Zn (63.10%). High-throughput next-generation sequencing of bacterial 16S rRNA amplicons showed that the Proteobacteria, Acidobacteria, Bacteroidetes, and Firmicutes were dominant phyla in Chinese kale field soil. Inoculation of E. fredii LP2/20 significantly affected the soil bacterial community structure by decreasing total bacterial richness and diversity. The numbers of alpha- and gamma-Proteobacteria were significantly increased while the number of delta-Proteobacteria was significantly decreased due to E. fredii LP2/20 establishment. Soil total P, K, and Ca and soil pH were the important factors that shaped the soil bacterial community composition.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Inoculation of Ensifer fredii strain LP2/20 immobilized in agar results in growth promotion and alteration of bacterial community structure of Chinese kale planted soil

Pongsilp

Nimnoi

2020

Sci Rep

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“…The author describes three SOM (self-Organizing based models), in particular, managed Kohonen systems (SKN), and counter-spread counterfeit systems (CP-ANN) and XY-combination (XY-F), which utilize Supervised Learning to relate high goals information on soil and harvest with is frequency classes of wheat yield efficiency were use [15]. The author describes Plant development advancing microscopic organisms give various advantages in cultivating by reproducing crop health and more, vitamins and smothering help in improving earth quality [16]. The author describes the importance of the Indian economy in horticulture, which is molded by the poor soil quality [17].…”

Section: Literature Foundationmentioning

confidence: 99%

Novel Methods for Crop Prediction based on Influencing Parameters in Indian Regions using Data Mining

Joseph,

Manohar

2020

IJEAT

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Agriculture plays a crucial role for the production of food in Indian regions. Indian regions mainly produces crops like rice, wheat, maize and many other types of crop. There are several factors required for the productivity of any harvest, but we know that soil, climate, pesticides, Fertilizers and ground water is most influencing essential factor for the productivity of any harvest. Let us consider soil which is the key element as it provides nutrients for proper development and growth of crops. Secondly, climate is also having major role in agriculture as crop growth depends on rainfall, humidity, temperature etc. Thirdly, Pesticides is widely used to control pest and prevents the damage of crops. Fourthly, Fertilizers can improve the quality of crops. Finally, ground water which will enrich nutrients in soil. The current preparation centers around different information mining procedures utilized in various regions of India and anticipate future harvest along with reasonable information mining procedure saw during the period(1920-2019).The parameters considered for the examination were soil, atmosphere, water thickness, pesticides and composts and Crop informational collection. The Classification calculations utilized in preparation were Adaptive boosting classification, Excess tree classification, neural based classification, Multiple Process classification, Decision making classification, K-closest neighbors, Bayesian theory classification, decision Forest classification, support group machine, and Randomized Gradient Classification. By using the techniques mentioned above we can improve the harvest prediction using information mining techniques which in turn help the farmers to take better decisions in future and it can be used in other technologies like image analyzing etc. The Experimental results show predicted crop, suitable algorithm and algorithm accuracy in that particular state of India respectively.

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“…Se dan interacciones complejas que ocurren entre los exudados de la raíz derivados de la fotosíntesis y otros procesos fisiológicos de la planta, el suelo y el microbioma, el cual está habitado por una amplia gama de microorganismos que incluyen hongos, bacterias, actinomicetos, algas y nematodos, donde la dominancia está determinada por el producto de los exudados de la raíz (carbohidratos, aminoácidos, ácidos grasos, nucleótidos, ácidos orgánicos, fenólicos, reguladores del crecimiento, putrescencia, esteroles, azúcares y vitaminas, entre otros compuestos), lo que repercute en la dinámica poblacional y funcional de los microorganismos del suelo, el cual difiere de la zona rizosférica al resto de la población presente en el suelo o sustrato (De- Bashan et al, 2007;Rashid et al, 2012;Esquivel-Cote et al, 2013;Hungria et al, 2016;Mora et al, 2017;Singh et al, 2017;Posada et al, 2018;Ramakrishna et al, 2019).…”

Section: Introductionunclassified

Rendimiento de forraje de pasto ovillo inoculado con bacterias PGPB

Solís-Oba

Aguilar-Benítez

Rivera

et al. 2020

Remexca

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ResumenLas bacterias PGPB tienen efectos benéficos en el rendimiento de los cultivos. El objetivo del presente estudio fue determinar el efecto de cinco bacterias promotoras del crecimiento vegetal sobre el rendimiento, altura de planta, unidades SPAD y contenido de proteína de pasto ovillo defoliado cada cinco semanas en primavera y verano, bajo condiciones de invernadero. Se utilizó un diseño completamente al azar, con arreglo factorial 5 x 2 x 2, siendo la unidad experimental una maceta con diez tallos, con cuatro repeticiones. Las bacterias evaluadas fueron: Ewingella americana (digestato), Ewingella americana (suelo), Pseudomonas clororaphis, Bacillus toyonensis y Microbacterium oxidans, comparados entre sí y con los controles positivo (triple 17) y negativo (suelo sin fertilización). Los valores altos de MS en primavera lo registraron E. americana (3.5 g MS maceta -1 ), mientras que en verano fue B. Toyonensis. Los valores de altura no registraron diferencias (p> 0.05) en ambas épocas, las unidades SPAD solo en el verano y E. americana registró los menores valores (1.8). El contenido de proteína evidenció que los testigos fueron inferiores a todos los tratamientos que fueron inoculados. Las bacterias estudiadas registraron efectos en todas las variables evaluadas y fueron superiores a la fertilización inorgánica y al suelo sin fertilizar. Palabras clave: Bacillus toyonensis, Ewingella americana, Microbacterium oxidans y Pseudomonas clororaphis.Recibido: enero de 2020 Aceptado: marzo de 2020

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Plant growth promoting bacteria in agriculture: Two sides of a coin

Cited by 242 publications

References 100 publications

Inoculation of Ensifer fredii strain LP2/20 immobilized in agar results in growth promotion and alteration of bacterial community structure of Chinese kale planted soil

Inoculation of Ensifer fredii strain LP2/20 immobilized in agar results in growth promotion and alteration of bacterial community structure of Chinese kale planted soil

Novel Methods for Crop Prediction based on Influencing Parameters in Indian Regions using Data Mining

Rendimiento de forraje de pasto ovillo inoculado con bacterias PGPB

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