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Table 4 Effect of bacterial antagonists on tomato fruit rot development (disease incidence and disease severity %) caused by Alternaria alternata under room-temperature conditions

From: Biological control of postharvest tomato fruit rots using Bacillus spp. and Pseudomonas spp.

Bacterial isolates

Days after inoculation

Reduction %

4

8

12

DI%

DS%

DI%

DS%

DI%

DS%

2021 season

 1. Bacillus subtilis

0.0c

0.0c

2.0b

4.0d

2.0c

15.0c

85.0b

 2. Bacillus amyloliquefaciens

0.0c

0.0c

2.0b

6.0d

3.0bc

18.0bc

82.0b

 3. Pseudomonas alcaligenes

1.0b

5.0b

3.0b

10.0c

4.0b

25.0b

75.0c

 4. Pseudomonas stutzeri

1.0b

6.0b

3.0b

18.0b

4.0b

31.0b

69.0d

 5. Infected control

4.0a

12.0a

6.0a

48.0a

12.0a

100.0a

00.0e

 6. Healthy fruits

0.0c

0.0c

2.0b

4.0d

2.0c

10.0d

90.0a

F. test

*

*

*

**

**

**

**

2022 season

 1. Bacillus subtilis

0.0c

0.0c

2.0b

5.0c

3.0b

16.0d

84.0b

 2. Bacillus amyloliquefaciens

0.0c

0.0c

3.0b

8.0c

5.0b

20.0c

80.0b

 3. Pseudomonas alcaligenes

2.0b

6.0b

4.0b

10.0bc

5.0b

27.0b

73.0c

 4. Pseudomonas stutzeri

0.0c

0.0c

2.0b

15.0b

3.0b

25.0b

75.0c

 5. Infected control

5.0a

14.0a

8.0a

46.0a

13.0a

100.0a

00.0d

 6. Healthy fruits

0.0c

0.0c

2.0b

5.0c

2.0b

12.0e

88.0a

F. test

*

**

*

**

*

**

**

  1. * and **Indicate significant differences at p values < 0.05 and < 0.01, respectively, according to F. test. Means followed by the same letter in same column are not significantly different at the 0.05 level, according to Duncan’s multiple range test. The angular transformation was used for resistance to fruit rots percentage as outlined by Snedecor and Cochran (1989)