Manuscript accepted on : 12-Oct-2021
Published online on: 03-11-2021
Plagiarism Check: Yes
Reviewed by: Dr. Debasis Mitra
Second Review by: Dr. Mustafa Küsek
Final Approval by: Dr. Majid Sakhi Jabir
Birhanu Babiye1*, Beira H. Meressa2 and Taye Tessema3
1Ethiopian Institute of Agricultural Research, National Agricultural Biotechnology Research Center, Plant Biotechnology program, Holeta, Ethiopia.
2Jimma University, College of Agriculture and veterinary medicine, Department of Horticulture and plant science, Jimma, Ethiopia.
3Ethiopian Institute of Agricultural Research, National Project Coordinator, Integrated Striga Control Project, Addis Ababa, Ethiopia.
Corresponding Author E-mail: bbirhanu23@gmail.com
DOI : http://dx.doi.org/10.13005/bbra/2935
ABSTRACT:
Plant growth promoting rhizobacteria are the bacteria which subsist inside and outside of the plant tissue and promote plant growth through direct or indirect mechanisms. To increase sorghum production and productivity we utilize herbicides and chemical fertilizers to overcome sorghum production constraints, but those chemicals have negative side effects. The current study was conducted with the objective of isolation of PGPR from sorghum rhizosphere and screening for primary growth related trait, evaluation of potential PGPR at greenhouse for sorghum growth performance and identify through biochemical characterization. So that, in this study a total of 117 plant growth promoting rhizobacteria were isolated from the rhizosphere of 12 sorghum (Sorghum bicolor L. Moench) genotype by cultivating using 3 collected soil samples from the northern part of Ethiopia (Amhara and Tigray regional states) in greenhouse. Isolated bacteria were screened for primary growth promoting traits such as phosphate solubilization test, IAA production test at different concentration of L-tryptophan and ammonia production test. From the isolated bacteria 28% solubilized Phosphorous, 78% produced IAA at different concentration of tryptophan. The greatest IAA production was scored at 100 mg/L of tryptophan and the lowest production of IAA was scored at 150 mg/L of tryptophan, 69% of isolated bacteria produced ammonia. Hence, 15% of isolated bacteria fulfilled the above primary screening test and used for further greenhouse evaluation. Accordingly, eighteen bacteria were tested for greenhouse experiment using completely randomized design and all 18 isolates were significantly increased all the agronomic parameter as compared to the control such as plant shoot height, plant shoot fresh and dry weight, root length, root fresh and dry weight at p < 0.01 and P ≤ 0.001. Two isolates G6E29 and G4E19 had significantly increased all the parameter but two isolates (G12E19 and G3E40) were statistically non-significant for root fresh weight compared to the control. These 18 potential isolates were characterized morphologically and biochemically. Eight isolates were grouped at Pseudomonas genera. Six isolates were grouped at Azotobacter and the rest four isolates were grouped at Bacillus genera. Thus, the use of plant growth promoting rhizosphere bacteria could be useful to improve sorghum production and productivity. However, further molecular identification and evaluation of the isolates exhibiting multiple plant growths promoting traits on plant-microbe interaction for economic crop of Ethiopia is needed to uncover their efficacy as effective plant growth promoting rhizosphere bacteria.
KEYWORDS: Phytohormones; Plant Microbiome; Metabolites; Metagenomics
Download this article as:Copy the following to cite this article: Babiye B, Meressa B. H, Tessema T. Detection and Identification of Plant Growth Promoting Bacteria from Sorghum (Sorghum bicolor L. Moench) Rhizosphere Soil in Northern Ethiopia. Biosci Biotech Res Asia 2021;18(3). |
Copy the following to cite this URL: Babiye B, Meressa B. H, Tessema T. Detection and Identification of Plant Growth Promoting Bacteria from Sorghum (Sorghum bicolor L. Moench) Rhizosphere Soil in Northern Ethiopia. Biosci Biotech Res Asia 2021;18(3). Available from: https://bit.ly/3CBdsl3 |
Introduction
Sorghum (Sorghum bicolor L. Moench) belongs to the family Poaceae (Gramineae) with a global ranking of fifth most important staple cereal food crop after wheat, rice, maize and barley. It is also a staple food for more than 500 million people in more than 30 countries of semi-arid area of the world.13, 20, 25
Sorghum domestication started at the north east quadrant of Africa, specifically in Ethiopian western part usually known as Ethio- Sudanese border region due to its unique adaptation to harsh and drought-prone environments. The total sorghum production in sorghum producing areas of the world is 55.6 million tons, and world average yield was 1.37 tons per ha in 2020. Sorghum is the second staple food next to maize for sub Saharan countries, were 18 million tons is produced annually from 27 million ha.15, 22, 25
The food and agricultural organization15 reported the United States of America is the top sorghum producer with about 9.7 million tons, followed by India, Nigeria, Sudan, and Ethiopia. In Ethiopia, sorghum is the fourth staple food crop both in area coverage and production after teff, maize and wheat. The crop is grown in almost all regions with estimated total land area of 1.8 million hectares.11
The major sorghum producing regions of Ethiopia are Oromia, Amhara, Tigray, and southern nation, nationality and peoples. Compared to other African countries, Ethiopian sorghum productivity is very low with an average productivity of 2.7 tons per ha. This low productivity needs sorghum improvement to increase productivity to achieve food security.11,17, 20 Both abiotic and biotic factors; such as drought, low soil fertility, insects, quelea bird and Striga weed are the major production constraints affecting sorghum productivity.16, 24
In Ethiopia, the most known biotic production constraint is Striga (Striga hermonthica) affecting by its association with the root of sorghum causing annual losses of up to 7 billion USD, which is considered to affect the livelihood of 300 million people due to a decrease in sorghum production and productivity. 7
To increase sorghum growth and grain yield by decreasing the impact of striga on sorghum, farmers and researchers have been using herbicides and chemical fertilizers, but these chemicals, in addition to their positive effect in promoting plant growth and increasing sorghum grain yield, have negative side effects in that they pollute the environment and decrease soil microbial diversity by killing them through increasing soil pH.3, 23, 35
In addition to utilization of herbicide and chemical fertilizer in an effort to reduce the impact of striga on sorghum productivity, several researches have been conducted with the goal of developing steriga tolerant varieties using conventional breeding practice. Despite these efforts, the problem still exist. The new approach to solve steriga constraint on sorghum production, these days, is on the interaction of steriga weed, sorghum and soil microbes.7
Beneficial bacteria which inhabit the soil rhizosphere of plant can manage soil environment to achieve attainable crop yield. Bacteria use exudates that are secreted by plant roots within the rhizosphere. They influence plant in a direct or indirect mechanism. Stimulation of plant growth is considered to be one of the influences on plants by soil bacteria. Rhizosphere bacteria that influence plant growth positively are referred to as plant growth promoting rhizobacteria, due to their effect on crop yield increase.8, 10
There are a lot of factors that affect plant growth promoting rhizosphere bacteria; such as environmental condition, plant genotype, soil type, soil and field condition and green house condition. The prominent factors that affect PGPR’s function to promote plant growth are plant genotype and soil type. Genotype of plant secrete root exudates compound that differs among plant genotypes and the function of exudates compound also differs from soil to soil type and condition.5, 19,39
Plant growth promoting rhizobacteria can be helpful to plants either by increasing the availability of both macro and micro elements; such as nitrogen, phosphorus, iron and zinc in the rhizosphere producing plant growth promoting (PGP) substances; such as indole acetic acid and siderophore production.9, 21, 28, 39
Currently, there is an increasing interest on understanding the natural relationship between sorghum with PGPRs to develop growth promoting rhizobacteria as inoculants to supplement chemical fertilizers. In Ethiopia, there has been an attempt by 25, 37 regarding on the utilization of rhizosphere bacteria for promoting sorghum and teff growth as biofertilizer inoculants.
The growing interest in the use of plant growth promoting bacteria as inoculants for sorghum growth promoting was limited in Ethiopia, and had a little scientific justification and very limited studies on the potential role of PGPRs as plant growth promoting agents, which PGPRs are effectively associated with specific sorghum genotype are not studied well. Having those gaps about plant growth promoting rhizobacteria in Ethiopia, the current study; therefore, focused on the following objectives, such as isolation of PGPR bacteria from sorghum rhizosphere soil, and screen for growth prompting trait, determination of the effect of selected bacterial isolates on sorghum growth performance in Greenhouse and identification of effective growth promoting bacteria through biochemical characterization.
Materials and Methods
Soil Sampling for Isolation of Growth Promoting Bacteria
A total of 46 soil samples were collected randomly from the northern part of Ethiopia (Tigray and Amhara regions) in which sorghum is frequently cultivated for daily consumption of people which inhabited in the area. Lists of areas from which the samples are collected is presented in (Table 1).
Table 1: Soil sampling area with passport data
N0
|
Code |
Date |
Region | Zone |
Woreda |
Kebele |
Altitude |
Longitude |
Latitude |
1 | ES19 | 18/02/2011 | Amhara | North shoa | Bekewot | Abayatir | 1373 | 09.55.11.0 | 040.01.42.3 |
2 | ES19 | 18/02/2011 | Amhara | North shoa | Bekewot | Abayatir | 1371 | 09.55.09.51 | 040.01.41.9 |
3 | ES19 | 18/02/2011 | Amhara | North shoa | Bekewot | Abayatir | 1376 | 09.55.09.9 | 040.01.42.2 |
4 | ES19 | 18/02/2011 | Amhara | North shoa | Bekewot | Abayatir | 1375 | 09.55.11.5 | 040.01.42.4 |
5 | ES29 | 20/02/2011 | Tigray | West Tigray | Haftayhumera | Maykedira | 635 | 14.10.26.8 | 036.36.11.3 |
6 | ES29 | 20/02/2011 | Tigray | West Tigray | Haftayhumera | Maykedira | 635 | 14.10.27.4 | 036.36.11.3 |
7 | ES29 | 20/02/2011 | Tigray | West Tigray | Haftayhumera | Maykedira | 634 | 14.10.27 | 036.36.10.1 |
8 | ES29 | 20/02/2011 | Tigray | West Tigray | Haftayhumera | Maykedira | 633 | 14.10.27.1 | 036.36.10.3 |
9 | ES40 | 22/01/2011 | Amhara | Oromiya | Xumakarsi | Jarakichini | 1453 | 10.30.53.3 | 039.58.47.7 |
10 | ES40 | 22/01/2011 | Amhara | Oromiya | Xumakarsi | Jarakichini | 1457 | 10.30.54.2 | 039.58.47.7 |
11 | ES40 | 22/01/2011 | Amhara | Oromiya | Xumakarsi | Jarakichini | 1458 | 10.30.54.4 | 039.58.47.9 |
12 | ES40 | 22/01/2011 | Amhara | Oromiya | Xumakarsi | Jarakichini | 1457 | 10.30.53.3 | 039.58.47.2 |
Rhizosphere Soil Sampling
Plant growth- promoting rhizosphere bacteria were isolated from 12 sorghum genotypes (Table 3) using 3 soil samples from a total of 46 random soil samples. The selection was based on their PGPR bacterial diversity using metagenomics tool in which both cultivable and uncultivable soil microbes by DNA extraction directly from their environmental sample. All the 12 sorghum genotypes were cultivated in the NABRC greenhouse at Holeta in the three 3 soil samples by adding 700g soil to 800g capacity plastic pot. All sorghum genotypes were grown in 4 replications by sowing two seeds per pot.
Sorghum seeds were first surface sterilized by adding 5% local bleach (sodium hypochlorite) for 30 seconds followed by 1.5% Tween 20. The seeds were then washed by sterilized water five times and germinated on Whatman paper on a plate. Finally, the seedlings were transferred to pots in the greenhouse and allowed to grow for 40 days.
Table 2: Sorghum genotype used to isolate PGPR
Sorghum genotype | Source/Region | Character | Selection Criteria |
Degalit | Tigray Region | Local landrace | Landrace and widely used |
ETWS 90754 | Amhara Region | Wild type | Wild type |
ETWS 91242 | Beneshangul Region | Wild type | Wild type |
Framida | Purdue University | Striga resistance | Striga resistant and widely used |
Hora_Doldy2 | Landrace | LGS | Landrace and LGS |
Jigurti | Landrace | HGS | Landrace, widely used and HGS |
Misikir | Drought Score | Drought tolerant | Drought tolerant |
S35 | ICRISAT | Stay green | Stay green or Drought tolerant |
Shanquired | China | Striga susceptible | HGS and model for striga susceptible |
SR5-Ribka | IBC | Striga resistant and Fusarium compatibility | Striga resistant and Fusarium compatibility |
SRN39 | Purdue University | Striga resistance | Striga resistant and widely used |
Teshale | ICRISAT | Best released varieties |
Widely used |
Were, LGS = low germination stimulant, HGS = High germination stimulant and IBC = International Biodiversity Center
Isolation of PGPR Bacteria
To isolate PGPR bacteria, all cultivated 12 sorghum genotypes were harvested at the same time after 40 days in greenhouse and the roots were cut from the stem using a sterilized surgical blade. Then, all roots were put into falcon tubes which had 35 ml of sterilized 0.85% saline water. The Falcon tube was shaken on a shaker for 30 minutes to wash the rhizosphere bacteria. Then, the samples were centrifuged at 10,000 rpm for 10 min, and roots were transferred to another falcon tube which contained 35 ml sterilized saline water. After that, the second tube was centrifuged, and the roots were put into another falcon tube. Finally, the two-round pellets were mixed by removing the supernatant. The mixed pellets were used to isolate PGPR bacteria.
One gram (1g) of pellet suspension was taken and transferred to 9 ml of sterilized 85% saline solution. The serial dilution continued up to 1×10-8 by taking 1000 µl of diluted sample and was poured to the nutrient agar plate media from the dilution factor of 1×10-4, 1×10-5 and 1×10-6 by taking 100 µl of diluted sample and by spreading plate method in 3 replications for each.
The plates were then incubated at 28OC for 2 days. Individual bacterial colonies were selected and subculture on nutrient agar seven times for purification. Hence, a total of 117 pure bacterial isolates were obtained by sub culturing.
Then for each isolate, two copies were made; one copy for long term preservation in 40% glycerol at – 80oc and another copy stored in 4oC refrigerators for the active work. All the 117 isolates were tested for primary screening of related trait as followed.
Detection of Plant Growth Promoting Traits
Phosphate Solubilization Test
Phosphate solubilization activity of plant growth promoting rhizosphere bacterial isolates were detected in plate assay method using Pikovaskaya (PVK) agar following method described.31. A loop full pure fresh overnight culture isolate was streaked on the Pikovaskaya (PVK) agar media in three replications. PVK agar medium contained: glucose = 10 g; Ca3 (PO4)2 = 5 g; (NH4) SO4= 0.5 g; NaCl = 0.2 g; MgSO4.7H2O = 0.1 g; KCl = 0.2 g; NaCl = 0.2 g; MnSO4.H2O = 0.002 g; FeSO4.7H2O = 0.002 g and yeast extract = 0.5 g per liter of a media.
The plates were incubated for 18 days at 28oC after which the isolate that could make a clear hallo zone was selected. Plates without streak of isolates were used as a control. The clear hallo zone of the isolate was measured millimeter (mm). The isolate differentiation was made using phosphate solubilization index calculated with the following formula.
IAA Production Test
Isolates that have the potential to solubilize the phosphate were selected and tested for the Production of IAA by using the method described. 36, With a replication of 3 for each isolate, 100 µl of overnight fresh bacterial cell suspension was added to 20 ml of sterile peptone yeast extract broth (which contained per litter peptone = 10 g; beef extract= 3 g; NaCl= 5 g; L-tryptophan= 50 mg; distilled water= 1L; pH = 7) in to 50 ml sterilized falcon tubes, and was incubated for 72 h at 28oC in the dark by wrapping with aluminum foil.
After 72 h of incubation, cultured isolates were taken and centrifuged at 10,000 rpm for 10 min, and 10 ml of the supernatant was withdrawn and put in 15 ml test tube, and then added 5 ml of Salkawaski reagent which contained a 1:1 ratio of (50 ml, 35% perchloric acid, and 1 ml per 1.5 M of FeCl3 solution. The culture falcon tubes were incubated at 37oC in the dark for 1h. Formation of red color in the medium was then considered as the ability of IAA production of isolates.
Produced IAA was quantified by measuring their optical density (OD) at absorbance of 530 nm with the standard of produced IAA and the results for each isolates were recorded and repeat the test for positive isolate was conducted at 3 concentrations of tryptophan (25 mg/L; 100 mg/L and 150 mg/L) and the OD was measured at 530 nm and compared at which high concentration IAA was produced.
Test for Ammonia Production
Isolates which had the potential to solubilize phosphorus and able to produce IAA were further tested for Ammonia (NH3) production following the method described.10
Then, 100 µl of pure overnight culture of fresh bacterial cell suspensions were inoculated in 30 ml of peptone broth (4%) in triplication and were incubated at 28oC for 72 hours. After the incubation, 2 ml Nessler’s reagent which contained (potassium iodide= 50 gm; saturated mercuric chloride= 35 ml; distilled water= 25 ml; potassium hydroxide (40%) = 400 ml) was added using serological pipette.
The formation of yellow to brown precipitate showed the presence of NH3. For the control, Nessler’s reagent was added to the broth without inoculums. Then, the produced NH3was quantified by reading the OD at 530 nm comparing the potential of isolate with the standard of produced ammonia.
Evaluation of Bacterial Isolates for Sorghum Growth Promotion
Inoculum Preparation
The isolates which have the potential to pass the screening test were considered for greenhouse evaluation by following the method described 26, Flasks which have the capacity of 250 ml were selected and filled with 150 ml of nutrient broth and were sterilized with steam sterilization method, and cooled down overnight by putting at the hood. Then, 200 µl of pure overnight suspension culture was added to the broth and incubated at incubator shaker for 72 h by adjusting rpm 150 per minute and temperature 28oc. After 72 h of incubation, the standard concentration was adjusted at 1×10-9
Greenhouse Evaluation
Growth promoting potential of the isolated PGPR bacteria was evaluated with completely randomized design with 3 replications using Teshale sorghum genotype which has low growth or higher Striga susceptible trait. The seeds were surface sterilized by the following procedure, washing the seed by distilled water 3 times and then washing it with 1.5 % of 5 % bleach by adding 2 drops of Tween 20. Finally, the seeds were rinsed five times in sterile water and germinated by soaking them at the plate with Whatman paper and with 3 ml of distilled sterilized water.
Pots with the capacity of 1.5 kg were filled with 1 kg of sterilized soil (steam sterilization for 20 minute) and planted with three germinated seeds, with three replications for one genotype. Therefore, each test isolate pot had 9 plants in a completely randomized design. The bacterial inoculums 100 ml with the standard concentration of 1×10-9 were applied after the first and the second leaf appeared and developed.
The temperature of the greenhouse was maintained at 28 oC and watering was done (500 ml regularly at evening time with 3 days gap). The plants were harvested 5 weeks after the first inoculation. For the control, only distilled water was used instead of the bacterial suspension. The growth-promoting ability of microbial isolates were determined based on the data recorded on plant shoot height, plant shoot dry and fresh weight, and root length, root dry and fresh weight.
Data on plant shoot height and root lengths were recorded by measuring the height and length using ruler. Data on plant shoot and root fresh weight of both plant shoot height and root lengths were recorded by measuring the weight by sensitive electronic balance in the unit of gram. Data for dry weight of shoot and the roots were recorded by made dry the sample using dry heat oven at 65oc for 4 hours and measured the weight using sensitive electronic balance in the unit of gram. The percent (%) of bacterial performance for all agronomic parameters compared to the control was determined using the following formula.
Biochemical and Morphological Characterization
The ability of the isolates in gram staining, sugar utilization with or without gas production, and catalase tests were determined according to the methods described in detail below, in addition to that screening each species by their selective media.
Sugar Utilization Test
The ability of the isolates to utilize carbohydrates and sugars as a carbon source was determined according to the following protocol.33, one litter basal media was prepared. It contains (10 g peptone broth, 5 g sodium chloride, 1 g beef extract, 7.2 ml phenol red, 10 g each tested carbohydrate (glucose, lactose, and sucrose) and 1 L sterilized water). Then, autoclaved and dispensed to 2 ml basal media to sterilized ELISA plate, and was added 100 µl of pure culture bacterial suspension of tested isolate, and was incubated for 24 h at 28OC. The color changed from purple to yellow was the positive indicator for utilizing the carbon source.
Catalase Reaction Test
Overnight culture of PGPR was thoroughly mixed with 3% H2O2 on microscopic slides 33. The slides were examined for the bubble formation and showed catalase positive but did not form bubble catalase negative.
Gram Staining
The gram staining procedure was carried out according to the method described33. As briefly described, 100 µl overnight culture of bacterial cell suspension was added to surface sterilized microscopic slide, and it was smeared gently. Then, the slides were inserted into crystal violate and washed by sterilized water. Again, the slides were inserted to iodine solution and washed by sterilized water. Then, the slides were inserted into 97% of ethanol and washed by sterilized water. Finally, the slides were inserted into safranin solution and washed by sterilized water and examined using the 100x objective lens microscopy and purple colored bacteria were gram positive, whereas read colored or colorless bacteria were gram negative.
Morphological characterization
A loop full active cell suspension of the isolates were streaked on nutrient agar media and incubated for 24 hours at 28Oc then the colony morphology was recorded.
Classification of Bacterial Genera
Based on the above chemical test the bacterial genera was classified in to different bacterial genera which was based on the characteristics of the bacterial genera which fulfilled the test result.
Statistical Analysis
The significance effect of PGPR isolates on sorghum growth promoting potential were determined by using ANOVA table in a completely randomized design (CRD) based on the factor used. F values and means were made by using the Tukey men separation model at P=0.01 probability levels and the correlation analysis for agronomic parameters were done.
Results And Discussion
Isolation of PGPR Bacteria
In the current study a total of 117 PGPR isolates were isolated. Out of the 117; 33(28%) isolates solubilized phosphate, out of the 33; 26(78.78%) isolates produced IAA, out of the 26; 18(69.23%) isolates produced ammonia. From the total of 117; 18(15%) isolates solubilized phosphate, produced IAA and ammonia and selected as a potential PGPR. These might be due to potential of each isolates depending on their individual sources plant genome and taxonomic genera. However, those 18 isolates (Table 4), had different potential in primary growth promoting trait. These might be due to the potential of each isolate depending on their source genotype and environmental condition.13. The previous work4 described that, due to nutrient availability, plant rhizosphere has heterogeneous and functional microbes. As indicated in previous research such as rice.30,37, Wheat27; Sorghum26; Mung bean6 ; Ginger13 and Maize1 ; plant growth promoting Rhizosphere bacteria can promote or increase plant growth, particularly cereal and horticultural tuber crops either through direct or indirect mechanisms.
Eighteen isolates were compared for their potential for phosphate solubilization, IAA production and ammonia production tests and greenhouse evaluation was conducted to check whether they promote sorghum growth or not using Teshale sorghum genotype. It was the most Striga susceptible sorghum variety with low growth rate compared to other sorghum genotypes as described5, 39. The purpose of using different sorghum genotypes to isolate PGPR was that most of PGPR are plant genotype and soil environmental condition dependent according13 who isolated Ginger growth promoting bacteria from different Ginger genotype and those isolates were classified as under different genera and species.
Table 3: Selected eighteen potential isolates with their soil sources, sources genotype along with their trait.
Isolate code | Soil source | Source genotype | Genotype trait |
G4E29 | Humera | Framida | Striga resistance |
G5E29 | Humera | Hora – Doldy2 | LGS and Landrace |
G6E29 | Humera | Jigurti | HGS and Landrace |
G8E29 | Humera | S35 | Stay green |
G11E29 | Humera | SRN39 | Striga resistance |
G12E29 | Humera | Teshale | Best released varieties |
G2E19 | Shoa Robit | ETWS 90754 | Wild type |
G3E19 | Shoa Robit | ETWS 91242 | Wild type |
G4E19 | Shoa Robit | Framida | Striga resistance |
G5E19 | Shoa Robit | Hora – Doldy2 | LGS |
G6E19 | Shoa Robit | Jigurti | HGS |
G8E19 | Shoa Robit | S35 | Stay green |
G9E19 | Shoa Robit | Shanquired red | Striga susceptible |
G10E19 | Shoa Robit | SR5-Ribka | Fusarium compatibility |
G12E19 | Shoa Robit | Teshale | Best released varieties |
G3E40 | Kemise | ETWS 91242 | Wild type |
G4E40 | Kemise | Framida | Striga resistance |
G6E40 | Kemise | Jigurti | HGS |
Were, LGS = low germination stimulant, HGS = High germination stimulant
Detection of Plant Growth Promoting (PGP) Traits
Phosphate Solubilization Test
Out of 117 isolates; 33 isolates solubilized phosphate. However, from 33 isolates 18 isolates produced IAA and Ammonia in addition to solubilizing the phosphate, but all 18 isolates had statistically a significance different phosphate solubilization potential at P = 0.01.
Tri-calcium phosphate (TCP) is used in phosphate solubilization test as a source of phosphate in an insoluble form as described22. These significance difference might be due to the isolates which had production potential of phosphatase enzyme can solubilize insoluble phosphate into a solubilized and usable form directly by plants or Phosphate solubilizing bacteria reduces pH of rhizosphere soils by releasing organic acids which dissolve phosphate mineral through anion exchange35. This process increases the availability of phosphorus for plant uptake; but isolates which can’t produce organic acid have low phosphate solubilization potential compared isolates capable of production of organic acid (Table 4). No isolates were solubilized TCP which are isolated from the bulk soil, this might be due to PGPR needs root exudates molecule which secretes from the plant to the rhizosphere soil and used as a carbon source that makes to colonize the root by PGPR which can solubilize TCP. But in the bulk soil, there is no root exudates molecule.
IAA production Test
Twenty six of the isolates were found to be able to produced IAA at 50 mg/L Tryptophan concentration out of 33 tested isolate by converted the yellow color broth to red-pink color. However, 18 isolates were the most potential isolates for IAA production and highly significant at P=0.01.
All 18 isolates produced IAA between the concentration ranges of 1.1 mg/ml to 1.9 mg/ml at 50 mg/l tryptophan ((Table 4). However, as the result indicated, those 18 selected isolates had a significant different IAA production potential at different concentration of tryptophan (25, 50, 100, 150 mg/L). At 50 mg/L tryptophan concentration, isolate G6E29 from Jigurti sorghum genotype and soil from Humera produced the highest amount of IAA 1.9 mg/ml. The lowest concentration was recorded from isolate G3E19 from ETWS 91242(Benishangul Region) isolated from the soil at Shoa Robit that produced 1.1 mg/ml. However, the concentration of tryptophan became lower to 25 mg/L of tryptophan IAA production became low for all 18 isolates. As indicated on ((Table 4), isolates that produced IAA at 25 mg/ml tryptophan showed lower IAA production than from 50 mg/L tryptophan.
In general, isolates from Humera soil, with all 12 sorghum genotype rhizosphere, had the higher IAA production potential belongs to Pseudomonas and Bacillus bacterial genera, whereas isolate from Shoa Robit and Kemise soil with 12 sorghum genotype rhizosphere had the lower IAA production potential in all tryptophan concentration which means plant genotype and soil type also affect the production of 1AA in addition to tryptophan concentration40.
Ammonia Production Test
Only 18 out of 26 isolates were able to produced Ammonia with the produced ammonia and 18 isolates had more potential for Ammonia production and all 18 isolates had a significant different ammonia production potential at P=0.01.
In general isolate from the soils at Humera and Kemise with all sorghum genotypes had produced higher amount of ammonia compared to the isolate from the soil at Shoa Robit and belongs to Pseudomona and Bacillus bacterial genera. These might be due to the soil type and sorghum genotype affect the production potential of ammonia produced PGPR isolate association with sorghum40, 29reported that isolates from all genotype of wheat produced the same amount of Ammonia. on the other hand reported ammonia production potential of rhizosphere bacteria depends on the soil nutrient availability and species of bacteria; which is contradicting to the current study27, 36. However, based on the current study, ammonia production of an isolate from different sorghum genotype and soil sample had different ammonia production potential; these might be due to the soil type and nutrient availability affect the ammonia production of PGPR bacteria.
The analysis of variances of PGPR bacteria for sorghum growth related parameters such as Phosphate Solubilization, IAA production and Ammonia production tests were presented in (Table 5) below respectively. Mean squares were highly significant at (p = 0.01) for all parameters indicating that each isolate differed in the growth related trait cause variation which agreed with the finding of27. This might be due to the genetic makeup of the isolates and source genotype as well as the soil with the environmental condition.13
Table 4: Mean separation analysis result for PSB (Cm), AMP (OD) and IAA (OD) production
Isolate | PSB(mm) | AMP(OD) | IAA at 25 mg/L T(OD) | IAA at 50 mg/L T(OD) | IAA at 100 mg/L T(OD) | 1AA at 150 mg/L T(OD) |
G4E29 | 22.6BC | 12.5E | 0.24HG | 1.84BC | 2.01N | 0.12M |
G5E29 | 20.1BCDE | 11.3I | 0.55C | 1.55FE | 2.21L | 0.23KL |
G6E29 | 28.1 A | 16.8A | 0.72B | 1.99A | 2.88A | 2.99A |
G8E29 | 22.5BC | 9.2O | 0.34F | 1.74CD | 1.99O | 1.11B |
G11E29 | 18.3DE | 11.6H | 0.51CD | 1.55FE | 2.31K | 0.99C |
G12E29 | 19.8BCDE | 10.6K | 0.86A | 1.65DE | 2.52E | 0.52F |
G2E19 | 19.2CDE | 9.7M | 0.21H | 1.24IJ | 2.64B | 0.63E |
G3E19 | 22.3BCD | 9P | 0.64B | 1.15J | 2.54D | 0.23L |
G4E19 | 20.1BCDE | 13.2C | 0.32FG | 1.45G | 2.61C | 0.25J |
G5E19 | 18.6CDE | 8.98P | 0.42E | 1.34HI | 2.33J | 0.66D |
G6E19 | 17.9E | 12.2F | 0.30FG | 1.55EF | 2.42H | 0.22L |
G8E19 | 23.5B | 11.9G | 0.24HG | 1.40GH | 2.46G | 0.33I |
G9E19 | 21.1BCDE | 12.5E | 0.88A | 1.85B | 2.21L | 0.24JK |
G10E19 | 20.3BDCE | 9.9L | 0.12I | 1.45FG | 2.11M | 0.12M |
G12E19 | 19.5RCDE | 10.9J | 0.54C | 1.67D | 2.51F | 0.45H |
G3E40 | 22.8BC | 12.6D | 0.44ED | 1.24IJ | 2.64B | 0.23KL |
G4E40 | 20.8BCDE | 9.5N | 0.12I | 1.35GH | 2.11M | 0.66D |
G6E40 | 21.2BCDE | 14.38 | 0.11I | 1.65DE | 2.35I | 0.48G |
MSD | 4.1 | 0.045 | 0.08 | 0.10 | 0.003 | 0.012 |
CV | 6.45 | 0.12 | 6.2 | 2.12 | 0.04 | 0.66 |
R2 | 82% | 99% | 99% | 98% | 99% | 99% |
Alpha | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 |
Where, PSB = phosphate solubilization, IAAP = Indole acetic acid production, AMP = Ammonia production Test and T= Tryptophan, mm= millimeter, OD= optical density
The mean separation analysis and analysis of variances of plant growth promoting rhizosphere bacteria for sorghum growth related parameter such Phosphate Solubilization Test, Indole Acetic Acid Production Test and Ammonia Production Test were presented in (Table 4) respectively. Significant differences were detected between each isolate for all of the studied parameter which indicating that each isolate differed in the growth related trait cause variation which agreed with the finding of.27 Entry mean squares were significant at p<0.01 for all parameter, these might be due to the genetic makeup of the isolate and source genotype as well as the soil with the environmental condition.
Table 5: The effect of selected PGPR inoculation variance on the PST(Cm), IAA(OD) and AMP(OD). Mean ± S.D at P = 0.01
Isolate | PST(mm) | AMP(OD) | IAA
(25mg/L Trp) (OD) |
IAA (50mg/L Trp) (OD) | IAA
(100mg/L Trp) (OD) |
IAA
(150mg/L Trp) (OD) |
G4E29 | 22.6±0.010 | 12.2± 0.015 | 0.249±0.003 | 1.840±0.001 | 2.012±0.001 | 0.122±0.000 |
G5E29 | 20.11±0.005 | 13.32 ±0.010 | 0.559±0.005 | 1.559±0.004 | 2.214±0.001 | 0.233±0.000 |
G6E29 | 28.12 ±0.005 | 16.23±0.005 | 0.722±0.001 | 1.997±0.000 | 2.887±0.001 | 2.991±0.001 |
G8E29 | 22.55 ±0.007 | 9.26±0.041 | 0.341±0.000 | 1.740±0.001 | 1.997±0.000 | 1.112±0.000 |
G11E29 | 18.32 ± 0.015 | 11.63 ±0.026 | 0.516±0.005 | 1.559±0.004 | 2.312±0.001 | 0.996±0.002 |
G12E29 | 19.83 ± 0.020 | 10.68±0.005 | 0.865±0.038 | 1.651±0.000 | 2.523±0.001 | 0.521±0.001 |
G2E19 | 19.22 ± 0.011 | 9.77±0.017 | 0.214±0.001 | 1.240±0.001 | 2.641±000 | 0.631±000 |
G3E19 | 22.31 ± 0.011 | 9.02±0.010 | 0.643±0.001 | 1.159±0.004 | 2.541±000 | 0.232±0.016 |
G4E19 | 20.13±0.010 | 13.22±0.010 | 0.325±0.001 | 1.451±0.000 | 2.614±0.001 | 0.255±000 |
G5E19 | 18.65 ±0.010 | 8.98 ±0.010 | 0.425±0.001 | 1.340±0.001 | 2.332 ±0.001 | 0.662±0.001 |
G6E19 | 17.92±0.010 | 12.22±0.011 | 0.305±0.104 | 1.559±0.004 | 2.423±0.001 | 0.228±0.000 |
G8E19 | 23.56 ±0.005 | 11.92±0.015 | 0.247±0.012 | 1.401±0.000 | 2.462±0.001 | 0.334±0.000 |
G9E19 | 21.13±0.01 | 12.54±0.010 | 0.883±0.001 | 1.857±0.004 | 2.213±0.001 | 0.245±000 |
G10E19 | 20.33 ± 0.015 | 9.92±0.005 | 0.127±0.005 | 1.459 ±0.004 | 2.112±0.005 | 0.124±0.001 |
G12E19 | 19.50 ± 0.011 | 10.97±0.010 | 0.542±0.009 | 1.671±0.139 | 2.513±0.005 | 0.451±000 |
G3E40 | 22.82±0.152 | 12.64±0.010 | 0.443±0.002 | 1.240±0.001 | 2.641±000 | 0.235±000 |
G4E40 | 20.±0.005 | 9.51±0.005 | 0.124±0.001 | 1.359±0.004 | 2.111±000 | 0.662±0.001 |
G6E40 | 21.23 ±0.020 | 14.31±0.005 | 0.113±0.000 | 1.651±0.000 | 2.353±0.001 | 0.481±0.000 |
D.F | 53 | 53 | 53 | 53 | 53 | 53 |
R2 | 82.6% | 99.9% | 99.1% | 98.5% | 99.9% | 99.9% |
CV | 6.452 | 0.1363 | 6.252 | 2.139 | 0.04 | 0.669 |
P | P < 0.001 | P < 0.001 | P < 0.001 | P < 0.001 | P < 0.001 | P < 0.001 |
Where, PST = phosphate solubilization Test, IAAPT = Indole acetic acid production Test, AMPT = Ammonia production Test and Trp = Tryptophan, Cm= millimeter, OD= optical density
Greenhouse Evaluation of PGPR for Sorghum Growth Promotion
All the 18 isolates have significantly increased all the agronomic parameters relative to the control. However, some of the isolates had highly significant compared to the others at p = 0.01(Table 6).
Table 6: Mean separation analysis result for each isolate in favor of agronomic data (PSH, PSFW, PSDW, RL, RFW and RDW) at P = 0.01
Isolate | PSH (Cm) | PSFW
(gm) |
PSDW
(gm) |
RL
(Cm) |
RFW
(gm) |
RDW
(gm) |
G4E29 | 35.2bc | 11.5ef | 8.2c | 36.2bc | 15.4bc | 9.5bc |
G5E29 | 33.2d | 11.4ef | 5.2l | 34.2de | 15.1cd | 8.8de |
G6E29 | 35.5a | 13.8bc | 8.8ab | 37.8a | 16.3ab | 9.7b |
G8E29 | 31.4f | 10.4h | 7.0fg | 34.1de | 14.9cd | 9.1cd |
G11E29 | 33.2d | 10.8gh | 7.8cd | 33.8e | 14.1de | 8.8e |
G12E29 | 30.2h | 9.8i | 5.5kl | 32.2f | 12.2fg | 7.2g |
G2E19 | 31.7f | 11.1fg | 6.3hi | 29.8g | 11.3gh | 5.1i |
G3E19 | 32.2e | 11.8de | 6.9fg | 35.2cd | 14.2de | 6.5h |
G4E19 | 35.2a | 14.3a | 9.2a | 37.2ab | 16.4ab | 9.7b |
G5E19 | 33.5d | 13.2c | 8.2c | 28.2h | 13.5e | 8.3f |
G6E19 | 33.1d | 13.8ab | 8.8ab | 31.3f | 12.2fg | 9.3c |
G8E19 | 34.6b | 14.1a | 9.1a | 35.6c | 12.3fg | 8.7e |
G9E19 | 30.7g | 9.7ij | 5.8jk | 25.1i | 10.2ij | 6.2h |
G10E19 | 34.2c | 11.7de | 7.4de | 32.0f | 13.2ef | 9.2cd |
G12E19 | 32.4e | 10.5h | 7.1ef | 28.2h | 9.1j | 6.5h |
G3E40 | 30.3h | 9.7ij | 6.7gh | 27.4h | 7.2k | 6.4h |
G4E40 | 34.2bc | 12.1d | 8.6b | 36.2bc | 17.1a | 12.1a |
G6E40 | 31.4f | 10.5h | 6.2ij | 24.4i | 10.2hi | 6.1h |
Control | 20.3i | 9.3j | 4.2m | 21.2j | 9.8ji | 3.4j |
CV | 0.428 | 1.388 | 1.804 | 1.305 | 2.732 | 1.727 |
R2 | 99.8% | 99.3% | 99.4% | 99.5% | 98.9% | 99.7% |
MSD | 0.426 | 0.495 | 0.404 | 1.275 | 1.089 | 0.425 |
Where, PSH = Plant Shoot Height; PSFW = Plant Shoot Fresh Weight; PSDW = Plant Shoot Dry Weight; RL = Root Length; RFW = Root Fresh Weight and RDW = Root Dry Weight; CV = Coefficient of Variation; MSD = Minimum Significance Difference, Cm= centimeter, gm= gram.
Isolate G6E29 was isolated from Jigurti (landrace sorghum genotype) and soil from Humera; it was significantly increased plant shoot height by 75%. Whereas isolate G4E19 was isolated from Framida sorghum genotype and the soil from Shoa Robit; it was significantly increased plant shoot by 74%. Next to G6E29 and G4E19, three isolates (G4E29, G8E19 and G4E40) showed a significant increase in plant shoot height, and isolated from the Rhizosphere of Framida and S35 sorghum genotypes along with the soil collected at Humera, Shoa Robit and Kemise and significantly increased plant shoot height by 73%, 70% and 68% respectively. As described in (Table 6), the rest isolates also significantly increased the plant shoot height compared to the control. But compared to each other, they had lower potential relative to the above one; these might be due to the tested sorghum genetic makeup and environments are comfortable for PGPR to increase the plant shoot height. 4, 5, 32reported that all the tested isolates did not significantly increase the plant shoot height compared to the control which is contradicting to the current study. However, in the current study, all the isolates were increased the plant shoot height compared to the control with different plant shoot height increasing potential. The report 27 analogous with the current study which reported that all selected potential isolates increased plant shoot height compared to the control.
Three isolates (G4E19, G8E19 and G6E19) significantly increased the plant shoot fresh weight. G4E19 was isolated from the Rhizosphere of Framida sorghum genotype, and the soil at Shoa Robit; it was significantly increased the plant shoot fresh weight by 54%. G8E19 was isolated from the rhizosphere of S35 sorghum genotype, and the soil collected from Shoa Robit; it was significantly increased the plant shoot fresh weight by 52%, and G6E19 was isolated from Jigurti landrace sorghum genotype, and Shoa Robit soil; it was significantly increased plant shoot fresh weight by 48%. G5E19 was isolated from Hora-Doldy2 Ethiopian landrace sorghum genotype and the soil at Shoa Robit; it was significantly increased the plant shoot fresh weight by 48%. The remaining isolates also significantly increased the plant shoot fresh weight compared to the control. However, compared to each other, they had lower potential relative to the above, may be due to sorghum genetic makeup of the tested genotype and favorable environmental conditions required by PGPR. Each isolate might have also different potential based on their Genome. The isolates increased the plant shoot height but not the plant shoot fresh weight which is contradicted to the current study27. But here, all 18 isolates increased plant shoot height and plant shoot fresh weight compared to the control. Isolates that increase the plant shoot height also increase plant shoot fresh weight which is related to the current study42.
Three isolates; such as G4E19, G8E19 and G6E29 are significantly increased the plant shoot dry weight. G4E19 was isolated from the Rhizosphere of Framida sorghum genotype, and the soil at Shoa Robit; it was significantly increased the plant shoot dry weight by 119%. G8E19 was isolated from the rhizosphere of S35 sorghum genotype, and the soil at Shoa Robit, it was significantly increased plant shoot dry weight by 116%. G6E29 was isolated from Rhizosphere of Jigurti landrace sorghum, and soil at Humera; it was significantly increased plant shoot dry weight by 109%. Such statistically significance difference might be due to the tested sorghum genetic makeup and conducive environment for PGPR isolates for plant soot dry weight5. PGPR bacterial genera might have different potential based on their genome to increase the plant shoot dry weight31. The above ground plant biomass growth promoting potential of PGPR also affected by environmental condition, soil type and greenhouse condition20, 40. All the tested PGPR increased in shoot dry weight by 80% compared to the control which but in the current study all tested PGPR increased in different amount5, 19. Isolates increase plant shoot dry weight in different amount which is comparable to the current study27.
The two isolates (G6E29 and G4E19) significantly increased root length. G6E29 was isolated from the Rhizosphere of Jigurti landrace sorghum genotype, and from the soil at Humera; it significantly increased root length by 78%, whereas G4E19 was isolated from the Rhizosphere of Framida sorghum genotype, and the soil at Shoa Robit; it was significantly increased the root length by 75%. The three isolates such as G4E29, G4E19 and G4E40 have significantly increased the root length next to G6E29 and G4E19. G4E29 was isolated from the Rhizosphere of Framida sorghum genotype, and the soil at Humera, it was significantly increased the root length by 71%. G4E19 was isolated from the combination of Framida sorghum genotype, and the soil at Shoa Robit, it was significantly increased the root length by 75%. G4E40 was isolated from Framida sorghum genotype and the soil collected at Kemise, it was significantly increased the root length by 71%. The other isolates also had significant increasing effect in the root length compared to the control. But compared to each other, they had lower potential relative to the above one, these difference might be due to the tested sorghum genetic makeup and environmental condition is comfortable for PGPR, as well as each isolate might have different potential based on their genome to increase the root length or the sorghum genotype that have more carbon root exudates which are used for PGPR to colonize the root and increase the root length8. The most of the isolates increased the root length in the same amount 16 cm compared to the control 19, 5. The isolates were significantly increased the root length in different potential which is similar to the current study reported that all the isolates increased the root length significantly with different manner depending on source genotype and soil sample27.
The three isolates such as G4E40, G6E29 and G4E29 have significantly increased the root fresh weight. G4E40 was isolated from the Rhizosphere of Framida sorghum genotype, and the soil at Kemise; it was increased the root fresh weight by 74%, G6E29 was isolated from the Rhizosphere of Jigurti landrace sorghum genotype, and the soil collected at Humera; it was significantly increased root fresh weight by 66% and G4E29 was isolated from the Rhizosphere of Framida sorghum genotype, and the soil collected at Humera; it was significantly increased the root fresh weight by 56%. The two isolates (G5E29 and G8E29) were isolated from the rhizosphere Hora-Doldy2 and S35 sorghum genotype with the combination of soil from Humera. Compared to the control, both isolates were increased the root fresh weight by 54% and 52% respectively. The rest isolates also had significantly increased in the root fresh weight compared to the control. But compared to each other, they had a lower potential relative to the above one. But two isolates (G12E19 and G3E40) no significant for root fresh weight. Compared to the control, the root fresh weight decreased by 7% and 26% respectively from the control; but they had a significant increasing effect for the rest agronomic parameter. These might be due to the isolate was not contented association to the tested genotype or affect the environmental condition for root fresh weight5. All the isolates increased the root length also increased the root fresh weight which is contradict to the current study 2, 27. However, the current study reports that all the isolates significantly increased the root fresh weight with different amount, these might be due to the tested sorghum genotype genetic makeup and environmental condition is comfortable for PGPR, as well as each isolate might have different potential based on their genome and colonize the root to increase the root fresh weight or the sorghum genotype that more carbon root exudates which is used for PGPR to colonize the root 40.
Intended for root dry weight, isolate G4E40 which was isolated from the Rhizosphere of Framida sorghum genotype, and soil at Kemise; it was significantly increased the dry weight of root by 256%. The three isolates (G4E29, G6E29 and G4E19) were isolated from the Rhizosphere of Framida and Jigurti sorghum genotype with a combination of soil collected from Humera and Shoa Robit; they have significantly increased the root dry weight by 256%, 185% and 185% respectively. The other isolate also significantly increased the root dry weight compared to the control, these might be due to the tested sorghum genetic makeup and environmental condition is contented for PGPR function, as well as each isolate might have different potential based on their genome to increase the root dry weight (Table 6) compared to each other9. The isolates were isolated from different crop rhizosphere and genotype increased root dry weight differently which is similar to the current study1, 6, 28. To the contradict, all the isolates did not significantly increase all the agronomic parameter which is isolated from single soil sample and sorghum genotype27, 28. However, in the current study, all the isolates were significantly increased all the parameter in a significance variation, except two Bacillus and Azotobacter bacterial genera (G12E19 and G3E40).
The two isolates such as G6E29 and G4E19 have increased all the sex parameters isolated from the Rhizosphere of Jigurti and Framida sorghum genotype, and the soil collected from Humera and Shoa Robit also belongs to Pseudomona bacterial genera. Bacteria isolated from the soil collected at Humera and Shoa Robit increased all the parameter compared to each other. PGPR bacteria which are isolated from the Humera soil had the higher growth promoting potential compared to the soil collected from Shoa Robit, whereas PGPR bacteria which are isolated from the soil at Kemise had the growth promoting potential but low growth promoting potential compared to the bacteria which are isolated from soil at Humera and Shoa Robit, these might be the soil and environmental condition effect the growth promoting potential PGPR bacteria5,19
All the isolates had the growth promoting potential compared to the control but had different growth promoting potential depending on the source genotype. So, bacteria isolated from Framida and Jigurti sorghum genotype significantly increased all the parameter followed by bacteria isolated from the landrace’s sorghum genotype having growth promoting potential compared to the bacteria isolated from the other sorghum genotype, these might be due to the genetic makeup of source sorghum genotypes are affect the type and potential of PGPR. Bacteria isolated from sorghum Framida, Jigurti and landrace sorghum genotype with the combination soil collected at Humera and Shoa Robit significantly increased the six parameters such as: plant shoot height, plant shoot fresh weight, plant shoot dry weight, root length, root fresh weight and root dry weight compared to bacteria isolated from the rest of sorghum genotype and soil collected at Humera, these might be due to plant genotype and soil type together with environmental condition affect the potential of PGPR.
Table 7: The effect of PGPR inoculation variance on sorghum agronomic data (PSH, PSFW, PSDW, RL, RFW and RDW). Mean + SD at P =0.01.
Isolate | PSH
(Cm) |
PSFW
(gm) |
PSDW
(gm) |
RL
(Cm) |
RFW
(gm) |
RDW
(gm) |
G4E29 | 34.3 ± 0.10 | 11.5 ± 0.03 | 8.2 ± 0.03 | 36.2 ± 0.06 | 15.4 ± 0.05 | 9.5 ± 0.05 |
G5E29 | 33.2 ± 0.08 | 11.4 ± 0.15 | 5.2 ± 0.06 | 34.2 ± 0.03 | 15.1± 0 | 8.8 ± 0.03 |
G6E29 | 35.5 ± 0.05 | 13.4 ± 0.11 | 8.8 ± 0.03 | 37.8 ± 0.01 | 16.3 ± 0.05 | 9.7 ± 0.03 |
G8E29 | 31.4 ± 0.05 | 10.4 ± 0.03 | 7.0 ± 0.06 | 34.1 ± 0.03 | 14.9 ± 0 | 9.1 ± 0.03 |
G11E29 | 33.2 ±0.08 | 10.8 ± 0.03 | 7.8± 0.06 | 33.8±0.03 | 14.1 ±0.03 | 8.8 ± 0.03 |
G12E29 | 30.2 ±0.12 | 9.8±0.03 | 5.5±0.05 | 32.2±0.08 | 12.2±0.05 | 7.2 ± 0.03 |
G2E19 | 31.7±0.08 | 11.1±0.06 | 6.3± 0.01 | 29.8± 0.03 | 11.3± 0 | 5.1± 0.03 |
G3E19 | 32.2 ± 0.06 | 11.8±0.03 | 6.9 ± 0 | 35.2 ± 0.13 | 14.2±0.03 | 6.5 ± 0.03 |
G4E19 | 35.2 ± 0.03 | 14.3 ± 0.11 | 9.2 ± 0.05 | 37.2 ± 0.03 | 16.4 ± 0.10 | 9.7 ± 0.08 |
G5E19 | 33.5 ± 0.05 | 13.2 ± 0.08 | 8.2 ± 0.05 | 28.2 ± 0.08 | 13.5 ± 0.86 | 8.3 ± 0.05 |
G6E19 | 33.1 ± 0.03 | 13.8 ± 0.03 | 8.8 ± 0.03 | 31.3 ± 0.11 | 12.2 ± 0.08 | 9.3 ± 0.05 |
G8E19 | 34.6± 0.08 | 14.1 ± 0.03 | 9.1 ± 0.03 | 35.6 ± 0.03 | 12.3 ± 0.11 | 8.7 ± 0.08 |
G9E19 | 30.7 ± 0.08 | 9.7 ± 0.05 | 5.8 ± 0.03 | 25.1 ± 0.03 | 10.2 ± 0.05 | 6.2 ± 0.08 |
G10E19 | 34.2 ± 0 | 11.7 ± 0.10 | 7.4 ± 0.089 | 32.0 ± 0.03 | 13.2 ± 0.089 | 9.2 ± 0.03 |
G12E19 | 32.4 ± 0.12 | 10.5±0.05 | 7.1±0.03 | 28.2± 0.08 | 9.1 ± 0.03 | 6.5 ± 0.02 |
G3E40 | 30.3 ± 0.05 | 9.7 ± 0.11 | 6.7 ± 0.15 | 27.4 ± 0.05 | 7.2 ± 0.05 | 6.4 ± 0.15 |
G4E40 | 34.2 ± 0.12 | 12.1 ± 0.06 | 8.6 ± 0.12 | 36.2 ± 0.08 | 17.1 ± 0.03 | 12.1 ± 0.06 |
G6E40 | 31.4 ± 0.05 | 10.5 ± 0.20 | 6.2 ± 0.05 | 24.4 ± 0.06 | 10.2 ± 0.06 | 6.1 ± 0.06 |
Control | 20.3 ± 0.12 | 9.3 ± 0.12 | 4.2 ± 0.12 | 21.2 ± 0.10 | 9.8 ± 0.03 | 3.4 ± 0.05 |
DF | 56 | 56 | 56 | 56 | 56 | 56 |
MSD | 0.426 | 0.495 | 0.404 | 1.275 | 1.089 | 0.425 |
P | P < 0.001 | P < 0.001 | P < 0.001 | P < 0.001 | P < 0.001 | P < 0.001 |
Where, DF = Degree of Freedom; M.S.D * = Minimum Significance Difference PH = Plant Height; PFW = Plant Fresh Weight; PDW = Plant Dry Weight; RL = Root Length; RFW = Root Fresh Weight and RDW = Root Dry Weight, Cm= centimeter, gm= gram
The analysis of variances of plant growth promoting rhizosphere bacteria for sorghum growth and growth-related parameter; such as plant shoot height, plant shoot fresh weight, plant shoot dry weight, root length, root fresh and dry weight related traits were presented in (Table 7). Significant differences were detected between each isolate for all of the studied parameters which indicates that each isolate differed in the growth promoting potential for Teshale sorghum genotype cause variation which goes with the finding of Indris27. Entry mean squares were significant (p<0.01) for all agronomic parameter; these might be due to all the tested PGPR rhizosphere bacteria have different growth promoting potential depending their source.
Correlation analysis for agronomic parameter
Table 8: Correlation relationship for PSH, PSFW, PSDW, RL, RFW and RDW at P = 0.01
PH |
PFW |
PPDW |
RL |
RFW |
RDW |
|
PH | ||||||
PFW |
0.674** |
|||||
PDW |
0.769*** |
0.832 *** |
||||
RL |
0.747*** |
0.611** |
0.655 ** |
|||
RFW |
0.559** |
0.564** |
0.509 ** |
0.819*** |
||
RDW |
0.768*** |
0.616** |
0.746*** |
0.793*** |
0.783 *** |
|
Where ** moderate (significance), *** strong (highly significance), PSH = Plant Shoot Height; PSFW = Plant Shoot Fresh Weight; PSDW= Plant Shoot Dry Weight; RL = Root Length; RFW = Root Fresh Weight and RDW = Root Dry Weight
Plant height, plant fresh and dry weight, root length, root fresh, and dry weight positively correlated among each other (Table 8). The Pearson correlation coefficient as weak, moderate and strong for values ranging from 0 to ± 0.29, ± 0.3 to ± 0.69 and ± 0.7 to ±1.0, respectively. So all the agronomic parameters (Plant height, plant fresh and dry weight, root length, root fresh, and dry weight) exhibited a positive correlation with strong and moderate relation, these might be due to growth promoting rhizobacteria can produced appropriately all growth related trait and affected all agronomic parameter in an the same manner. The current study results were following the finding of Indris and Khalid 27,28. Some of reported that plant height was negatively correlated with root length and fresh weight, but in the current study all the agronomic parameters were positively correlated1,5,6.
Biochemical and Morphological characterization
In the current study, a total of 18 potential isolates were obtained from sorghum genotype based on the fact that they fulfilled all growth promoting characteristics. As described in (Table 9). All the tested isolates were rood shaped and utilized carbon source. Isolate G5E29, G12E19, G6E40 were gram – positive, whereas the rest isolates were gram-negative. Isolate G4E29, G5E29, G6E29, G4E19, G6E19, G8E19, G9E19, G10E19 and G12E19 were catalase-negative, whereas G8E29, G11E29, G12E29, G2E19, G3E19, G5E19, G3E40, G4E40 and G6E40 were catalase-positive. All the eighteen isolates were groped in two colony morphology such as button and serrated margins shaped.
Eight isolates (G4E29, G5E29, G6E29, G4E19, G6E19, G8E19, G9E19 and G10E19) were classified under the taxonomic genera of Pseudomonas. Six isolates (G8E29, G11E29, G12E29, G2E19, G3E19 and G3E40) were classified under the taxonomic genera of Azotobacter and four isolates (G5E19, G12E19, G4E40 and G6E40) were classified under the taxonomic genera of Bacillus. Pseudomonas, Azotobacter and Bacillus were associated with the Rhizosphere of sorghum27. The Actinomycetes were also associated in addition to Pseudomonas, Azotobacter and Bacillus genera5. So, in the current study, the majority of the isolates from Landrace sorghum genotype and all the 3 soil samples were classified under Pseudomonas. Azotobacter PGPR bacteria were associated with the developed variety of sorghum genotype with all soil samples; Bacillus PGPR bacteria were associated with Striga susceptible sorghum genotype. So, sorghum genotype affected the association of PGPR bacteria at rhizosphere of sorghum, might be depending on the sorghum genotype and soil sample, taxonomic classification and the Carbon source utilization of growth promoting bacteria is diverse. Based on the current study the Pseudomonas PGPR genera are the beast performance for both plant growth related screening test and sorghum growth promoting performance in greenhouse. However, the growth promoting potential of Pseudomonas genera had a significance difference depending on the source sorghum genotype and soil type. Based on the current study the Pseudomonas genera have the greatest potential for both growth related trait such as phosphate solubilization test, IAA production test and ammonia production test along with the potential of in all agronomic parameter for greenhouse evaluation and followed by Bacillus genera in all growth related trait and growth parameter.
Table 9: Biochemical and morphological characterization of 18 selected potential isolates.
Isolate | Glucose | Lactose | Sucrose | Gram stain | shape | Catalase test | Colony morphology | Genera |
G4E29 | + | + | + | – | rods | – | Button shaped | Pseudomona |
G5E29 | + | + | + | – | rods | – | Button shaped | Pseudomona |
G6E29 | + | + | + | – | rods | – | Button shaped | Pseudomona |
G8E29 | + | + | + | – | rods | + | Serrated margins | Azotobacter |
G11E29 | + | + | + | – | rods | + | Serrated margins | Azotobacter |
G12E29 | + | + | + | – | rods | + | Serrated margins | Azotobacter |
G2E19 | + | + | + | – | rods | + | Serrated margins | Azotobacter |
G3E19 | + | + | + | – | rods | + | Serrated margins | Azotobacter |
G4E19 | + | + | + | – | rods | – | Button shaped | Pseudomona |
G5E19 | + | + | + | + | rods | + | Serrated margins | Bacillus |
G6E19 | + | + | + | – | rods | – | Button shaped | Pseudomona |
G8E19 | + | + | + | – | rods | – | Button shaped | Pseudomona |
G9E19 | + | + | + | – | rods | – | Button shaped | Pseudomona |
G10E19 | + | + | + | – | rods | – | Button shaped | Pseudomona |
G12E19 | + | + | + | + | rods | + | Serrated margins | Bacillus |
G3E40 | + | + | + | – | rods | + | Serrated margins | Azotobacter |
G4E40 | + | + | + | + | rods | + | Serrated margins | Bacillus |
G6E40 | + | + | + | + | rods | + | Serrated margins | Bacillus |
Were, + = can utilize the tested Carbone, the gram positive isolate and can produced catalase enzyme; – = gram negative isolate or can’t produce catalase enzyme
Summary and Conclusion
Nowadays, it is very important to improve sorghum production and productivity using plant growth promoting rhizosphere bacteria in Ethiopian agriculture. The result of the current study revealed that the objective such as to isolate and screen isolated PGPR for growth promoting trait and evaluate their growth promoting potential in the greenhouse and identify potential growth promoting PGPR using biochemical and morphological characterization which are isolated from 12 sorghum genotype by cultivating on 3 collected soil samples from Northern part of Ethiopia. A total of 117 rhizosphere bacteria were isolated from 12 sorghum genotype rhizosphere sample.
All the 117 isolates were subjected to growth promoting test; such as phosphate solubilization test using PVK culturing media and 33 isolates solubilized phosphate, in addition to phosphate solubilization, all 33 isolates were subjected for IAA production test using different concentration of tryptophan; such as 25 mg/L, 50 mg/L, 100 mg/L, and 150 mg/L of tryptophan. Twenty-six isolates produced IAA from the total 33 isolate PGPR. The production potential of each IAA produced 26 isolates increased from 25 mg/L to 100mg/L of tryptophan concentration but decreased using 150 mg/L of tryptophan concentration, except one isolate, G6E29, which increased IAA production at 150 mg/L of tryptophan. Based on the current study, the higher IAA production scored at tryptophan concentration of 100 mg/L. In addition to phosphate solubilization and IAA production test, all the 26 isolates were subjected to ammonia production test using Nessler’s reagent. Eighteen isolates produced ammonia from all 26 tested PGPR based on the screening test. Eighteen isolates (G4E29, G5E29, G6E29, G8E29, G11E29, G12E29, G2E19, G3E19, G4E19, G5E19, G6E19, G8E19, G9E19, G10E19, G12E19, G3E40, G4E40 and G6E40) were selected based on those isolates which solubilize phosphate, produce IAA and produce ammonia. Those potential selected 18 isolates were subjected to further greenhouse evaluation and biochemical characterization.
Eighteen of the most potential isolates were evaluated in a greenhouse by adding 1×10-19 standard concentrations on Teshale sorghum genotype at Holeta National Agricultural Biotechnology Research Center. Plant shoot height, plant shoot fresh and dry weight, root length, root fresh, and dry weight were collected after 35 days of inoculation. Analysis of variance revealed the presence of significant variation among isolates for all studied traits. Mean square of all isolates for all parameter was significant indicating that all the isolates significantly promote sorghum growth.
For plant shoot height, all the 18 isolates significantly increased plant height when compared to the control. But when compared to each other, two isolates G6E29 and G4E19 significantly increased the plant shoot height better than the other. For plant shoot fresh and dry weight, all the isolates significantly increased plant shoot fresh and dry weight compared to the control but G6E29, G4E19 and G8E19 the potential one compared to each other. For root length, all the isolates significantly increased root length when compared to the control, but when compared to each other, they have different potential for root length growth, and G6E29 and G4E19 were the most important ones in this respect. For root fresh and dry weight, all the isolates significantly increased the root fresh and dry weight compared to the control, except two isolate, G12E19 and G3E40, which are non-significance for the root fresh weight compared to the control. The isolates G6E29, G4E19 and G4E40 significantly increased the root fresh and dry weight.
Pearson correlation coefficient analysis revealed that plant soot height, plant shoot fresh and dry weight, root length, root fresh and dry weight growth and growth-related traits had a highly significant (p<0.01) positive correlations with each other. Based on the findings of the current study, the following recommendations and feature line of work have been suggested. Isolates with good sorghum growth promoting potentialities were characterized and the best 2 efficient isolates (G6E29 and G4E19) were identified. The results are promising for the design of potentially active sorghum growth promoting PGPR strain which would be beneficial for improvement of sorghum production and productivity for sustainable agriculture. The experiment was conducted using soil collected from the Northern part of Ethiopia; it is realistic to conduct similar experiments for other parts of Ethiopia across wider ranges of agro ecology to get other potential PGPR strain. The experiment was conducted at in vivo level for sorghum only; it is realistic to carry out a similar experiment for other crops across wider ranges of agro ecology. Furthermore, assessing different types of effective and compatible PGPR strains along with different sources of crop and environment to increase crop production efficiency and grain yield of sorghum and other cereal crop should require further investigation in the future.
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