Abstract
Abstract The focus of this research is to evaluate the performance of Bacillus , Pseudomonas , Azotobacter , and Azospirillum for their plant growth abilities in vitro and in vivo. The best performing bacterial isolates from preliminary screening (in vitro) were able to produce indole acetic acid (IAA) and gibberellic acid (GA 3 ) of 0.25–22.63 and 5.9–31.8 μg ml –1 , respectively, eight best isolates were further tested for their efficacy in promoting crop growth and yield of tomato ( Lycopersicon esculentum Mill.) by different application methods namely seed coating, soil application, and seedling root dip method. The factorial data analysis provided evidence that the interaction of bacterial isolates and different inoculation procedures together generated better yield in the greenhouse pot experiment. The findings suggest that the inoculation of Azospirillum strain ASP25 by seedling root dip method produced greater yields. Correlation and regression models hypothesize that all the variables are positively correlated with yield at P < .01 and growth variables like number of fruits per plant ( r 2 = .886), shoot length ( r 2 = .695), and root volume ( r 2 = .554) at P ≤ .0001 contribute to the yield parameter individually and by multiple regression model all the plant growth variables together increased fruit yield per plant by 89% ( r 2 = .899). These results demonstrate that a high yield is always linked to a healthy vegetative development. However, as technology in agriculture progresses, the proposed method points to the usage and development of computer applications to estimate crop output.
Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 10
Claim · model-written summary
Selected bacterial isolates produced IAA at 0.25–22.63 μg ml –1 in vitro.
Verbatim
e0“The best performing bacterial isolates from preliminary screening (in vitro) were able to produce indole acetic acid (IAA) and gibberellic acid (GA 3 ) of 0.25–22.63 and 5.9–31.8 μg ml –1 , respectively”
Claim · model-written summary
Selected bacterial isolates produced GA3 at 5.9–31.8 μg ml –1 in vitro.
Verbatim
e0“The best performing bacterial isolates from preliminary screening (in vitro) were able to produce indole acetic acid (IAA) and gibberellic acid (GA 3 ) of 0.25–22.63 and 5.9–31.8 μg ml –1 , respectively”
Claim · model-written summary
Interactions of bacterial isolates and inoculation procedures generated better greenhouse yield.
- Taxon
- tomato
Solanum lycopersicumt0 - Treatment
- bacterial isolates and different inoculation procedurese0
- Interactor
- bacterial isolatese0symbiont
- Outcome
- yielde0
- Direction
- bettere0
- Setting
- greenhouse pot experimente0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The factorial data analysis provided evidence that the interaction of bacterial isolates and different inoculation procedures together generated better yield in the greenhouse pot experiment.”
t0“tomato”
Claim · model-written summary
Azospirillum ASP25 inoculation by seedling root dip produced greater yields.
- Taxon
- tomatoSolanum lycopersicumt0
- Treatment
- inoculation of Azospirillum strain ASP25 by seedling root dip methode0
- Interactor
- Azospirillum strain ASP25e0symbiont
- Outcome
- yieldse0
- Direction
- greatere0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The findings suggest that the inoculation of Azospirillum strain ASP25 by seedling root dip method produced greater yields.”
t0“tomato”
Claim · model-written summary
All analyzed variables were positively correlated with yield at P < .01.
- Taxon
- tomatoSolanum lycopersicumt0
- Outcome
- yielde0
- Direction
- positively correlatede0
- Qualifier
- P < .01e0
- Comparator
- all the variablese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Correlation and regression models hypothesize that all the variables are positively correlated with yield at P < .01”
t0“tomato”
Claim · model-written summary
Fruit number explained yield variation with r2 = .886 at P ≤ .0001.
- Taxon
- tomatoSolanum lycopersicumt0
- Outcome
- yield parametere0
- Value
- r 2 = .886e0
- Qualifier
- P ≤ .0001e0
- Comparator
- number of fruits per plante0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“growth variables like number of fruits per plant ( r 2 = .886), shoot length ( r 2 = .695), and root volume ( r 2 = .554) at P ≤ .0001 contribute to the yield parameter individually”
t0“tomato”
Claim · model-written summary
Shoot length explained yield variation with r2 = .695 at P ≤ .0001.
- Taxon
- tomatoSolanum lycopersicumt0
- Outcome
- yield parametere0
- Value
- r 2 = .695e0
- Qualifier
- P ≤ .0001e0
- Comparator
- shoot lengthe0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“growth variables like number of fruits per plant ( r 2 = .886), shoot length ( r 2 = .695), and root volume ( r 2 = .554) at P ≤ .0001 contribute to the yield parameter individually”
t0“tomato”
Claim · model-written summary
Root volume explained yield variation with r2 = .554 at P ≤ .0001.
- Taxon
- tomatoSolanum lycopersicumt0
- Outcome
- yield parametere0
- Value
- r 2 = .554e0
- Qualifier
- P ≤ .0001e0
- Comparator
- root volumee0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“growth variables like number of fruits per plant ( r 2 = .886), shoot length ( r 2 = .695), and root volume ( r 2 = .554) at P ≤ .0001 contribute to the yield parameter individually”
t0“tomato”
Claim · model-written summary
The multiple regression model linked combined plant growth variables to an 89% fruit yield increase, with r2 = .899.
- Taxon
- tomatoSolanum lycopersicumt0
- Outcome
- fruit yield per plante0
- Direction
- increasede0
- Value
- 89%e0
- Qualifier
- r 2 = .899e0
- Comparator
- all the plant growth variablese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“by multiple regression model all the plant growth variables together increased fruit yield per plant by 89% ( r 2 = .899).”
t0“tomato”
Claim · model-written summary
The authors propose developing computer applications to estimate crop output.
- Taxon
- tomatoSolanum lycopersicumt0
- Outcome
- usage and development of computer applications to estimate crop outpute0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the proposed method points to the usage and development of computer applications to estimate crop output.”
t0“tomato”
The same questions in other papers
Azospirillum · yield · Solanum lycopersicum (tomato)Results agree
9 papers in the same direction as this paper
- positive
- positive
- positive
6 papers more in this group
See all 10 papers →inoculation · yield · Solanum lycopersicum (tomato)Positive and negative results
171 papers in the same direction as this paper · 27 in the opposite direction · 2 reporting no difference from an alternative
- negative
- negative
- no effect
197 papers more in this group
See all 201 papers →Claims are grouped by organism, treatment and what was measured or targeted. A paper counts as positive when any of its claims in the group is positive.