Treatment

Days to 50% Flowering

Days to 50% Fruit setting

Number of Fruits/ cluster

Number of cluster/plant

Total yield Kg/ plot

Total yield Tone/hectare

Average fruit weight (Kg).

Metadel

63.667b

75.00abc

2.93c

12.067d

18.30ab

23.46ab

0.15bc

Miya

54.33c

77.67ab

2.93c

17.60a

16.87abcd

21.62abcd

0.09e

Cochoro

63.33b

74.67bc

2.53def

14.67bc

17.28abc

22.16abc

0.15ab

Bishola

83.67a

75.00abc

2.33efg

11.53d

13.17d

6.82d

0.17a

Challi

68.00b

73.33bc

2.13g

8.27e

20.13a

25.05ab

0.12d

Fetan

65.33b

73.67bc

2.2fg

8.77e

19.82a

24.09ab

0.13d

Melka

63.33b

73.67bc

5.00a

17.60a

19.98a

25.62a

0.04g

Salsa

Melka

61.67bc

72.33c

4.13b

15.07b

15.68bcd

20.11bcd

0.06f

Shola

Eshet

65.00b

80.00a

2.73cd

12.4cd

14.22cd

18.23cd

0.12d

ARP

59.67bc

72.67bc

2.60cde

10.67de

16.57abcd

21.24abcd

0.13cd

Cv

11.88

5.85

10.65

16.71

18.81

19.87

11.84

Lsd

8.94

5.08

0.36

2.49

3.75

50.41

16.1

Source: (Alo et al., 2017) [2]

Means with the same letters are not significantly different from each other. CV= coefficient of variation, Lsd= least significant difference
Table 1: Summary of mean yield (t/ha) and other parameters of varieties

Var

DFL

DFr

DM

PHT(cm)

NBR

FIPC

FrPC

FrCPP

Bishola

38a

94a

121a

83.2cb

10.7bac

3.8

2.6

9.6c

Challi

29c

76cb

103dc

70.1c

8.9dc

3.9

2.7

17.1cb

Cochoro

29c

72cde

102d

70.4c

9.3bdc

4.0

3.1

24.1a

Marglobe

32bc

66f

96d

105.3a

9dc

4.2

2.8

17.9b

Fetan

29c

73cd

104bdc

77.6cd

10.4bac

3.8

2.6

12ed

Melkasalsa

31bc

67fe

112bac

76.3ed

12.3a

4.4

3.0

27.4a

Melkashola

32bc

80b

117a

83.5cb

11ba

3.9

2.5

13.3ced

Metadel

35ab

65f

113ba

85.2b

10.6bac

4.1

3.0

12.5cbd

Miya

35ab

68fe

96d

62.1f

8.3d

4.0

3.1

16.2cb

SEM

0.68

1.76

3.85

2.38

0.29

0.08

0.09

1.11

CV (%)

7.3

4.37

5

4.6

11.04

8.23

15.36

14.15

Source: Chernet and Zibelo (2014) [11]

DFL= Days of 50% flowering, DFr = Days of 50% fruiting, DM= Days to maturity, PHT= Plant height, NBR=Number of branches, FIPC=Number of flowers per cluster, FrPC=Number of fruits per cluster, FrCPP=Number of clusters per plant, SEM=Standard error of the mean, CV= Coefficient of variation. Means in the same column connected with the same letter are not significantly different
Table 2: Response of tomato varieties for different growth and yield components

Varieties

FrWt(Kg)

FDP(mm)

ED(mm)

MYLD(t/ha)

UnMYLD(t/ha)

Bishola

86.40a

48.50bc

53.30a

17.89e

1.11c

Challi

66.20bc

55.70ba

45.10b

49.28ab

1.97bc

Cochoro

77.90ba

61.50a

49.00ba

48.26ab

1.33c

Marglobe

58.80c

39.10c

45.90ba

36.52bc

3.43a

Fetan

66.40bc

54.50ba

45.50b

21.78de

1.38c

Melkasalsa

40.40d

56.90ba

31.20c

56.07a

2.81ab

Melkashola

53.43c

59.90ba

36.60c

32.25cd

1.34c

Metadel

55.50c

42.50c

47.10ba

26.06cde

1.78bc

Miya

57.20c

49.00bc

45.50b

39.66bc

1.62c

SEM

2.77

1.77

1.38

12.4

18.9

CV(%)

12.03

12.98

9.76

2.615

0.2

Source: Chernet and Zibelo (2014) [11]

FrWt: single fruit weight, FDP: Fruit polar diameter, ED: Equatorial diameter, MYLD: Marketable yield, UnMYLD: Un Marketable yield, t/ha: Tone per hectare, SEM: Standard error of the mean, CV: Coefficient of variation, means in the same column connected with the same letter are not significantly different
Table 3: Response of tomato varieties to yield components, fruit yield and fruit characteristics

Treatments(Varieties)

Fruit diameter (cm)

Fruit weight per plant (Kg)

Fruit yield (tone/ hectare)

Local

3.96g

0.89b

29.65bc

Arp tomato d2

5.73b

0.76c

25.39d

Metadel

5.75b

0.46d

15.32g

Chali

4.83f

0.81c

27.08d

Cochoro

5.57c

0.55d

18.52ef

Melkashola

4.10g

0.57d

19.14e

Miya

5.19e

0.14a

47.55a

Fetan

5.41d

0.45d

14.88g

Melkasalsa

3.76h

0.95b

31.60b

Bishola

6.25a

0.57d

18.88ef

LSD

0.15

70.3

2.07

CV (%)

3.15

10.03

8.89

Source: Balcha et al., 2015 [12]

Means within the same column followed by different letter are significantly different, LSD: Least significant difference, CV: Coefficient of variation
Table 4: Response of tomato varieties to yield and yield components

No

Cultivar

Number of fruits per cluster

Yield (tone/ hectare)

Fruit number per plant

Unmarketable yield (% )

%TSS

Average fruit weight(Kg)

1

Monica

3.1

59.5

24.02

25.51

4

0.1

2

Barnum

7.3

63.7

31.68

25.08

4

0.622

3

Eden

6.6

73.3

23.05

39.17

3.9

0.11

4

Galilea

6.1

57.9

20.11

39.97

3.7

0.13

5

Tesha

3.6

70.3

36.17

31.02

3.1

0.08

6

Bridget 40

3.7

63.5

30.2

33.87

3

0.1

7

Venise

3.9

87.1

40.49

22.81

3

0.1

8

Awash River

5.6

60.1

23.03

39.07

3.1

0.13

9

Awassa

6.1

69.8

25.07

12.56

3.1

0.13

10

Chibli

3.8

43.4

19.27

23.25

3.9

0.11

11

Momtanz

3.8

54.8

18.16

30.23

3.8

0.11

12

Topspin

3.6

46.8

30.06

22.52

4

0.07

LSD

 

2.9

38.5

18

20.78

1.4

61.34

CV

 

12

22.7

15.2

16

13

17

Source: Binalfew et al, 2016 [15]

%TSS=Total soluble solutes, LSD= Least significant difference, CV= Coefficient of variation, means in the same column connected with the same letter are not significantly different
Table 5: Yield and yield components of hybrid Tomato VarietiesEvaluation

 

Varieties

Areka

Goffa

Fruit number

Marketable yield (tone per hectare)

Total yield (tone per hectare)

Fruit number

Marketable yield (tone per hectare)

Total Yield (tone per hectare)

Money maker

40.63

25.62

28.12

49.35

78.83

87.06

Marglove

30.48

22.93

25.43

38.25

84.75

97.28

H.1350

26.5

19.18

21.68

39.75

67.68

76.58

Roma-VF

67.79

22.15

24.65

53.45

68.09

78.09

Melka-salsa

64.8

33.03

21.78

47.3

69.5

82.71

Melka-shola

72.58

19.28

21.78

50.07

67.75

80.35

Marglobe

26.52

15.85

18.35

43.15

74.25

85.6

LSD

21.374

8.16

8.16

28.38

28.33

31.8

CV (%)

31.1

24.3

21.9

193.55

26.1

25.4

Source: Mulualem and Tekeste (2014) [16]

LSD= Least significant difference, CV= Coefficient of variation. Means in the same column connected with the same letter are not significantly different
Table 6: The mean data of fruit number, marketable and total yield (t/ha) of tomato at Bolososore (Areka) and Goffa districts