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Journal of Plant Sciences and Crop Protection

ISSN: 2639-3336

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Screening and Identiying Farmers’ Prefered Varieties for Adaptability and Resistance to Cassava Mosaic Disease (CMD) in Sierra Leone

Received Date: April 12, 2018 Accepted Date: June 14, 2018 Published Date: June 22, 2018

Copyright: © 2018 Samura AE. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Cassava plays an important role as a food security crop in Sub – Saharan Africa. However, yields of cassava in Sierra Leone are generally low. Adoption of improved varieties resistant to the Cassava Mosaic Disease (CMD) which is one of the most limiting factors of production remains low. Therefore cultivation of local varieties infected with the cassava mosaic disease dominates the farming system in Sierra Leone. The study was therefore undertaken with the general objective to screen and identify promising cassava genotypes with resistance to CMD that meets farmers’ desired traits. A total collection of 2,000 cassava genotypes introduced from the International Institute of Tropical Agriculture (IITA) and 100 local collections were initially screened at the Njala Agricultural Research Center. This was preceded by multi location trials in a randomized complete block design using cassava mosaic infected varieties an infector rows. The 1-5 scale was used to assess cassava mosaic disease. Culinary traits were assessed. The approach used in the study was a participatory varietal selection process. Most of the cassava genotypes identified by farmers had high resistance to the cassava mosaic diseases with no disease symptom. Yenkessa in the coastal plains had significantly highest severity score of 1.3. Out of the 76 varieties identified and tested, 14 genotypes had good culinary traits for use as food. MM96/7204 (4X) had the highest mean storage root yield of 47.0 t/ha followed by 06/1474 with 43.24 t/ha and were identified for use in the cassava industry. The study concluded that Kabala, Kenema and Makeni were the best environments for growing cassava.

Keywords: Cassava Genotypes; Cassava Mosaic Disease; Farmers’ Desired Traits

Introduction

In Sierra Leone, cassava is the second most important food crop after rice, the country’s staple. It is also the most important storage root and tuber crop [1]. Cassava is also grown all over the country and remarkable progress has been made in breeding for resistance to the African Cassava Mosaic Virus (ACMV). Cassava processing activities have increased at both domestic and commercial scales, although to varying degrees [2]. Yields of cassava in Sierra Leone are generally estimated at 7.4t/ha tons [3]. Much of this is as a result of the cultivation of local varieties infected with cassava mosaic disease (CMD) over improved cassava varieties that have been released by the Sierra Leone Agricultural Research Institute [4]. Furthermore there is limited access to improved varieties that meet farmers’ desired traits. The study was therefore undertaken with the general objective to screen and identify promising cassava genotypes with resistance to CMD that meets farmers’ desired traits.

Materials and Methods
Cassava Genotypes

One hundred local varieties were collected country - wide in farmer’s fields from different agro-ecologies with varying level of resistance to CMD. These materials were evaluated along with 2,000 genotypes introduced from IITA for the purpose of this study. The 2,000 cassava genotypes and 100 local varieties were collected from major cassava growing regions in the world which were grouped into different families as follows: CIAT High Protein, Stay Green Varieties from Ghana, Yellow root, Varieties from Mozambique, Castor Crosses, Castor Hybrid, Castor Hybrid (4x), High carotene, Varieties from Tanzania, Benin Gemplasm, Yellow root poundable varieties from Brazil, Varieties from Chad, Bukina Faso, Sierra Leone and Liberia, Materials from Uganda, Pink skin varieties, Colchiploids, IITA 94 series, Genetic gain and TME series. Seventy one cassava genotypes selected by farmers out of the 2,100 genotypes were further evaluated in multi-location for two years 2010/2011 and 2011/2012 planting seasons.

These locations were as follows, Njala (Forest Transition) in the Southern Province, Kenema (Rain Forest) in the Eastern Province and Kabala (Savannah Highlands), Kambia (Savannah Lowlands), Yenkessa (Coastal Plains) and Makeni (Savannah Lowlands) in the Northern Province.

Experimental Design

The general experimental design was a randomized complete block (RCB). In 2009, cuttings 20 – 30 cm long of each of the 2,100 varieties were planted in single row plots. Rows were 10m long with 1m between hills and 1.5m between replications. Infector rows were randomly placed between plots to ensure the presence of the cassava mosaic virus in the field. In the 2010/2011 and 2011/2012 planting seasons, a randomized complete block (RCB) with three factors which includes 76 cassava genotypes, 5 locations and 2 years was used with two replications.

Screening for field resistance to cassava mosaic diseaseResults

Data were collected on severity of the Cassava Mosaic Disease based on 1-5 scale (IITA, 1990) from all the 10 plants per row except the infector rows. Plants with mean CMD scores of “1” were classified as highly resistant (HR), those with a score of “1.1 to 2” were classified resistant (R), those with a score of “2.1 to 3” were classified as Moderately susceptible (MS) and those with scores of “3.1 to 4” were classified as Susceptible (S) and “4.1 to 5” were classified as highly susceptible (HS) [5].

Varietal selection process was done in a participatory manner. Forty farmers from three villages around the Njala Agricultural Research Centre’s experimental and demonstration site comprising producers, processors and marketers were selected for participation in the varietal selection process. These villages included Foya, Mosongo and Njala. The Criteria set by farmers for selection from 2,100 cassava genotypes were as follows: High yield, disease resistance, pink outer skin colour of tubers, sweet taste and good cooking ability. Above ground as well as below ground characteristics were evaluated by careful examination of the leaves, stems and roots which were carefully uprooted and placed along paths of the experimental plots. Farmers were given the free will to select cassava genotypes based on their potential to meet the agreed criteria. The check varieties in this trial included five released varieties SLICASS 1 to SLICASS 4 which are known to be high yielding and resistant to African Cassava Mosaic Disease (ACMD) and Cocoa, a local susceptible variety to ACMD. Test to assess the culinary ability and consumer preference was conducted based on the character codes as follows:

1. Easily peel: 1= Easy (E), 2= Hard (H)
2. Outer skin colour: 1= White (W), 2= Yellow (W), 3= Pink (Pi), 4= Purple (P), 5= Creamy ( C), 6= Red ( R), 7= Green (G)
3. Inner appearance: 1= White (W), 2= Yellow (W), 3= Pink (P), 4= Creamy ( C)
4. Cooking texture: 1= Cooked ( C), 2= Slightly cooked (SC), 3= Hard (H)
5. Smell: 1= Good (G), 2= Fair (F)
6. Taste: 1= Sweet (S), 2= Slightly sweet (SS), 3= Bitter (B)
7. Pounding characteristics: 0= Hard (H), 1= Fairly poundable (FP), 2= Poundable (P), 3= Soft (S)

Yield estimated was based on the projection of ten tagged plants.

Data analysis

Data collected on various parameters were subjected to analysis of variance (ANOVA) using the general linear model (GLM) for multivariate analysis and with statistical analysis system (SAS) version 9.3. Student-Newman-Keuls Test was used to test for significance at 5 % probability (p<0.05) using lower case letters. Genotype, Genotype by Environment (GGE) bi-plot analysis was used to determine the best environment for growing cassava in Sierra Leone. Culinary traits analysis was subjected to simple statistics based on means and percentages.

Results
Response of 2,100 Cassava Genotypes to the Cassava Mosaic Disease

Cassava families reacted differently to the African Cassava Mosaic Disease. CIAT High protein, Ghana, Liberia, Mozambique, High carotene, yellow root poundable and TME series were the most susceptible families to ACMD with above 60% of the genotypes showing symptom of the disease. Stay green, yellow root, Castor crosses, castor hybrid (4x) and materials from Uganda provided higher number of resistant genotypes that could be also used in disease resistant breeding programmes.

Varieties collected from Sierra Leone based on field observation indicated that 12 varieties (14.8%) were ranked as highly resistant, 9 varieties (11.1%) were resistant, 25 varieties (30.8%) were moderately susceptible and 32 varieties (39.5%) were classified as highly susceptible to cassava mosaic disease.

Most of the cassava genotypes selected by farmers in 2009 exhibited high level of resistance to ACMD when screened in the field. A total of 1,827 (87%) of the 2,100 cassava genotypes assessed were classified as highly resistant with no symptom expression at 3 and 6months after planting (MAP). Another 273, (13%) of the cassava genotypes were however susceptible to ACMD. The TME series were the most infected and included TME 235 and TME 643 with the highest severity score of 4, higher than popular local variety which had a severity score of 3. Disease symptom expression was consistent with that of cutting borne infection for all plants assessed.

Yield estimates of selected cassava genotypes at Njala in 2009

The selected cassava genotypes showed very promising yield with zero fertilizer application. Storage root yield estimates of some of the selected cassava genotypes ranged between 22 t/ha to 48t/ha. The highest yielding cassava genotypes assessed includes, 94/0069 which had the highest yield of 48t/ha followed by 01/1551 with 41t/ha while the local check cocoa had 13t/ha. Other released varieties such as SLICASS 4, and 6 had 24t/ha and 20t/ha respectively.

Multi location screening of farmer preferred cassava genotypes in Sierras Leone

From a total of 2,100 genotypes initially screened in 2009, seventy one (71) genotypes identified by farmers and five check varieties SLICASS1, 2,4,6, and the local variety Cocoa were selected for multi-location evaluation based on the general criteria adopted for selection by farmers with special emphasis on mosaic resistant varieties.

Severity of cassava mosaic disease on farmers’ preferred genotypes assessed for two years: Most of the cassava genotypes selected by farmers had high resistance to the cassava mosaic diseases. The overall mean of the genotypes assessed was 1.1. The mean severity score for most genotypes assessed were below the local check variety Cocoa with a score of 1.92 which was significantly highest score (P<.0001) but not significantly different from SLICASS 2 with a score of 1.75 (Table 1). Other check varieties released by SLARI which included SLICASS1 SLICASS 4 and SLICASS 6 exhibited no symptom of the cassava mosaic disease. Out of the 76 genotypes assessed, 59 (77.63%) showed no symptom of the disease. In general there was no significant difference in the performance of the varieties selected in the two years of assessment (P<0.05), however it was clear that symptom expression was inconsistent among some genotypes which could be attributed to the resistance of the genotypes and the environmental condition in which the crop was grown.

Severity of Cassava Mosaic Disease on farmers’ preferred genotypes across locations: The severity of cassava mosaic disease among cassava genotypes selected was low (P<.0001). Yenkessa in the coastal plains had significantly highest severity scores of cassava mosaic disease (1.32) compared to all other locations. No significant difference was observed in disease expression among genotypes in Kabala (1.013), Kambia (1.013), Kenema (1.023), Makeni (1.012) and Njala (1.013) (Table 2). This result can best be presented using the GGE biplot analysis (Fig.1). The concentric circles which shows the best mega environments in response to ACMD. Yenkessa location was the worst affected location followed by the Kenema environment. Kabala, Kambia, Makeni and Njala had one cluster indicating safe environments for growing cassava.

Culinary traits possessed by farmers’ preferred cassava genotypes

Cooking Time: Significant difference was observed among genotypes tested for their cooking ability. Most of the genotypes tested had poor cooking ability. Out of the 76 varieties tested for two consecutive years, 14 possessed the ability to cook under 20 minutes. These genotypes includes 94/0069, 95/0166, 95/0902 and 96/0097. The local check Cocoa was easily cooked at 20mins. Thoses that did not cook after 20minutes were considered as hard or slightly cooked varieties.

Pounding characteristics of farmers’ preferred varieties: Based on the criteria adopted for poundabity, 14 out of the 76 genotypes tested were considered soft after boiling for 20 minutes. These include genotypes 88/00279, 91/00143 (4X), 92/0326, 94/0069, 95/0166, 95/0902, 96/0097, 96/0595, 96/1172, CC 055, CC 2365, MM02/2101, Mocuba and an Unknown 6 (Table 3).

Easy to peel varieties: Out of 76 genotypes tested by farmers, 42% (32) genotypes were found to be easy to peel. Among them included easy and hard to cook genotypes, genotypes with different inner appearance and level of poundability. Easy to peel genotypes identified included 01/0025, 02/0431, 02/0572, 03/025, 05/1652, 05/1654, 05/1661, 06/2064, 91/00143 (4X), 92/0326, 92/0475, 96/0160 (4X), 96/0409, 99/00110, CC 054, CC 103, CC 107, IFO 7010, MM001/0146, MM02/2101, MM3412, MM96/3665, MM96/5267, MM96/9181, 91B/00462, MOCUBA, TME 643, UNKNOWN 2, 3 and 6, W-820447, Z96/0012, respectively (Table 3).

Taste and smell of cassava genotypes: Out of the 76 genotypes tested by farmers, 92.1% of the 76 genotypes identified were considered to have a sweet taste. Two (2) varieties were considered to be slightly sweet and four were considered to be bitter. 85.5% i.e. 65 genotypes were considered to have a good smell. Other varieties were considered to be odourless or fair (Table 3).

Outer skin colour: Three cassava genotypes had pink skin a trait presumed to be associated with good cooking ability by farmers and they include SM 1406-1 TME 643 and Cocoa the local check. Another 29 genotypes had white outer skin colour, 24 genotypes had a yellow outer skin colour and 20 genotypes had a cream outer skin colour.

Inner appearance of tubers: A total of 71 cassava genotypes, 93.4% out of the 76 cassava genotypes had selected by farmers had a white inner appearance of the tubers. Three cassava genotypes selected were yellow root rich in pro vitamin A and included 05/0127, 05/1654 and CC 103.

Characteristic farmers’ preferred genotypes for industries assessed for two year

All cassava genotypes selected were resistant to cassava mosaic disease. Cassava genotypes generally attracted low population levels of whiteflies. The dry season attracted more whiteflies compared to the rainy season which did not exceed 17 whiteflies per plant. Significant difference was observed among cassava genotypes in terms of storage root yield. The highest mean storage root yield taking into account the two years of study was (MM96/7204 (4X ) with a mean storage root yield of 47.0 t/ha followed by 06/1474 with 43.24 t/ha. Most of the cassava genotypes selected for industrial uses had tubers which remained hard when subjected to boiling after 20 minutes (Table 4).

Storage root yield (t/ha) of farmers preferred cassava genotypes across locations for 2011 and 2012

Significant difference in storage root yield was also observed in the overall performance of cassava genotypes tested across locations. Kabala had the highest storage root yield (P> .0001) of 35.89 t/ha significantly higher than all locations followed by Kenema with 34.83 t/ha significantly higher than Makeni with 33.55 t/ha which in turn was significantly higher than Njala with 28.69. Kambia and Yenkesa had significantly the lowest yields of 26.29 t/ha and 18.70 t/ha respectively (Table 5). This result is clearly presented as a GGE biplot for yield in (Figure 2) which shows that the Kabala environment was the best environment followed by Kenema and Makeni. The Yenkesa environment was the worst performing location for growing cassava.

Discussion

The result of this study shows that efforts by Sierra Leone Agricultural Research Institute and other development agencies in the development and dissemination of improved cassava varieties to farmers have been moderately effective. Morphological screening of 2,000 introduced cassava genotypes from IITA and 100 local collections for CMD resistance based on the 1-5 scale and classification according to, revealed that farmers are interested in disease resistant cassava genotypes [5-7]. The identification of resistant genotypes across agro ecologies for boil and eat purposes as well as industrial purposes provides enormous opportunities for increasing cassava productivity. All the cassava varieties evaluated did not meet all the traits desired by farmers. The relevance of this finding is that breeding efforts should target specific needs that meet both domestic and industrial uses. Clearly, showed that the boil and eat market for poundable cassava varieties such as Cocoa was a more profitable enterprise despite the comparatively low yield [8]. This implies that breeding efforts should not only be geared towards resistance or pest and diseases but should also focus on other culinary traits such as easy to cook, easy of peeling and resistance to post physiological deterioration. These traits are more relevant along the value chain which addresses concerns from production, processing and marketing to improve the profitability of cassava.

Conclusion

Screening for resistance to cassava mosaic from 2,100 cassava genotypes provided a direction to which cassava families possess resistance and susceptibility to the cassava mosaic virus and from which sources of resistance should be sought. High level of cassava mosaic disease resistance varieties could be sought from families such as stay green, yellow root castor crosses, castor hybrid (4x) and materials from Uganda. Disease symptom expression was consistent with that of cutting borne infection for all plants assessed. Fourteen (14) poundable cassava genotypes and twenty high yielding genotypes resistant to cassava mosaic disease were identified with the participation of farmers for multiplication and distribution across agro ecologies. Varieties identified did not meet all the traits desired by farmers however all varieties exhibited high yield potential and resistance to pests and diseases especially the cassava mosaic disease. Most of the varieties identified for domestic and industrial use had significantly higher yield compared to the check varieties. Kabala, Kenema and Makeni had the best environment for growing cassava in Sierra Leone.

Acknowledgement

The authors wish to extend profound thanks and gratitude to the Government of Sierra Leone, the West Africa Agricultural Productivity Project (WAAPP) and the International Institute of Tropical Agriculture (IITA) for financial and technical support to this project.

1Fomba SN, Massaquoi FB, Samura AE, Fornah DS, Benya MT, et al. (2012). Innovative systems to improve small to medium scale cassava processing in Sierra Leone. In Y. U.Okechukwu & P. Ntawuruhunga (Eds.), Proceedings of the 11th Triennial Symposium of the ISTRC (pp. 603-616). International Institiue of Tropical Agriculture, (1990). Cassava in Tropical Africa, A reference Manual. Ibadan, Nigeria: International Institute of Tropical Agriculture(IITA).

Journal of Plant Sciences and Crop Protection

Tables at a glance
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Table 1
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Table 2
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Table 3
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Table 4
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Table 5
Figures at a glance
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Figure 1
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Figure 2
Figure 1: GGE biplot showing the best enviroment for avoiding the cassava mosaic disease in five locations in Sierra Leone. (PC1=69.1% PC2=30.9% SUM =100) Njala, Makeni, Kabala, Kambia falls within the same culster
Figure 2: Genotype, Genotype by Environment bi-plot for storage root yield of farmers preferred varieties across locations

aCLONE

bACMD severity

COCOA (Local check)

1.92a

SLICASS 2

1.75b

96/0595

1.50c

01/0025

1.33d

TME 203 (4X)

1.33d

TME 1674

1.21de

IFO 7010

1.17e

07/0498

1.17e

05/0127

1.08ef

MM97/3069

1.08ef

SM 1406-1

1.08ef

05/1652

1.08ef

05/0303

1.00f

CV%

20.6

SE±

0.048

bList not exhausted
aMeans with the same letter are not significantly different.
Table 1: Some Mean Severity of Cassava Mosaic Disease on Farmer Preferred Genotypes assessed in 2010 and 2011 

Location

aACMD severity

Yenkesa

1.32a

Kenema

1.02b

Makeni

1.02b

Kabala

1.01b

Njala

1.01b

Kambia

1.01b

CV%

SE±

aMeans with the same letter are not significantly different.
Table 2: Severity of Cassava Mosaic Disease on farmers’ preferred varieties across six locations in Sierra Leone

Clone
 Easy to peel
 Outer skin color
 Inner appearance
 Cooking texture
 Smell
 Taste
 Cooking time (mins)
 Pound ability
 Yield (t/ha)

 88/00279

 hard

 white

 white

 cooked

 good

 sweet

        15.00

  soft

        27.13

 91/00143 (4X)

 easy

 cream

 white

 cooked

 good

 sweet

        20.00

  soft

        22.68

 92/0326

 easy

 cream

 white

 cooked

 good

 sweet

        20.00

  soft

        33.05

 94/0069
 hard
 white
 white
 cooked
 good
 sweet
        15.00
  soft
        28.47
 95/0166
 hard
 white
 white
 cooked
 good
 sweet
        15.00
  soft
        22.11
 95/0902
 hard
 white
 white
 cooked
 good
 sweet
        15.00
  soft
        21.99
 96/0097
 hard
 white
 white
 cooked
 good
sweet
        15.00
  soft
        34.26
 96/1172
 hard
 white
 white
 cooked
 good
 sweet
        15.00
  soft
        27.90
 CC 055
 hard
 white
 white
 cooked
 good
 sweet
        15.00
  soft
26.67
 CC 2365
 hard
 white
 white
 cooked
 good
 sweet
        15.00
  soft
18.49
 MM02/2101
 easy
 white
 white
 slightly cooked
 good
 sweet
        20.00
  soft
41.76
 MOCUBA
 easy
 white
 white
 slightly cooked
 good
 sweet
        20.00
  soft
26.41
 UNKNOWN 6
 easy
 cream
 cream
 cooked
 fair
 bitter
        20.00
  soft
29.76
COCOA
Hard
Pink
White
Cooked
Good
sweet
       20.00
Soft
16.22
Table 3: Characteristics of some cassava genotypes with poundable trait, good cooking ability for local food

aFarmers’ preferred genotypes

ACMD
Severity

Whitefly population rainy season

Whitefly population
dry  season

Cooking time (Min)

Yield (t/ha)

07/0649

1.00f

1.83mlkihjpqon

10.83kejbidhgcf

24.17f

35.97dce

01/0034

1.00f

3.38melkidhjgefn

6.08kjmihl

18.33l

33.93gfe

LIBRICASS-1

1.00f

2.92melkidhjgpcofn

13.50ejbidhagcf

26.67c

32.43hgi

MM001/0146

1.00f

1.92mlkihjgpqon

8.33kejmihlgf

23.83g

35.90dce

06/1474

1.00f

3.63melkidhjgcf

17.83bdac

24.17f

43.24b

MM96/7204 (4X)

1.00f

1.92mlkihjgpqon

7.58kjmihlgf

24.17f

47.00a

MM02/1807

1.00f

2.96melkidhjgcfn

7.00kjmihlg

20.00j

33.05hgf

91B/00462

1.00f

2.58melkihjgpqofn

15.00ebdhagcf

20.00j

32.20hgi

SLICASS 1

1.00f

0.83pqon

5.33kjmil

26.67c

37.72c

02/0105

1.00f

3.67melkidhjgcf

11.08kejbidhagcf

25.00e

30.71lhkij

SLICASS 6

1.00f

1.83mlkihjpqon

0.00m

24.17f

32.20hgi

96/0097

1.00f

2.21mlkihjgpqofn

14.17ebidhagcf

14.17q

34.23dgfe

96/0409

1.00f

3.75melkidhjgcf

13.25kejbidhagcf

20.00j

30.17lmkij

UNKNOWN 7

1.00f

1.17mpqon

6.75kjmihlg

25.00e

34.94dfe

W-820447

1.00f

2.04mlkihjgpqon

6.08kjmihl

25.00e

31.96hgij

Z99/0094

1.00f

0.25q

6.75kjmihlg

25.00e

30.36lkij

02/0540

1.00f

6.54q

11.50kejbidhagcf

24.17f

31.03hkij

aList not exhausted Means with the same letter are not significantly different
Table 4: Characteristic farmers’ preferred genotypes identified for industrial uses assessed for two year. 2010/2011 and 2011/2012

Location

Storage root yield (t/ha)

Kabala

35.89a

Kenema

34.83b

Makeni

33.55c

Njala

28.69d

Kambia

26.29e

Yenkesa

18.70f

CV%

11.6

SE±

11.8

Means with the same letter are not significantly different
Table 5: Storage root yield (t/ha) of farmers preferred cassava genotypes across locations in 2011 and 2012