By Thiemele, DEF; Silue, S; Noba, AGT (2024).
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Greener Journal of
Agricultural Sciences ISSN: 2276-7770 Vol. 14(1), pp. 113-122,
2024 Copyright ©2024, Creative
Commons Attribution 4.0 International. |
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Agromorphological diversity of local cassava (Manihot esculenta Crantz) accessions cultivated in the South of Côte d’Ivoire
THIEMELE Deless Edmond Fulgence1*; SILUE Souleymane1;
NOBA Akotchalé Giresse
Théodule1
1Department of Genetics and Biochemistry, Genetics Research Unit, Peleforo GON COULIBALY University of Korhogo,
Po Box 1328 Korhogo, Côte d’Ivoire.
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ARTICLE INFO |
ABSTRACT |
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Article No.: 042924053 Type: Research Full Text: PDF,
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Cassava (Manihot
esculenta Crantz) is
an important food source in Côte d’Ivoire and it contributes to food
security. Nonetheless, its production is facing many constraints including
the abandonment of landraces. With a view to preserving genetic diversity for
crop improvement, 47 cassava accessions were collected in the Southern region
of Côte d'Ivoire and evaluated agromorphologically
on the basis of eight quantitative traits. Based on ANOVA (Analysis of
Variance), high variability was shown within the accessions for the traits
evaluated. The principal component analysis (PCA) applied to the 47
accessions confirmed this variability of 75.04% revealed by the first three
axis. The ascending hierarchical clustering (AHC) placed the accessions into
3 groups based on the height of the plant, the length of the petiole and the
number of tuberous roots per plant. Group 1 includes accessions with large
plants (HPL = 305.57cm), average number of roots per plant (NTP = 6.31) and
long petiole (LPE = 24.84cm). Group 2 is composed of small-sized accessions
(HPL = 260 cm) with a low number of roots per plant (NTP = 4.17) and short
petioles (17.07 cm). Group 3 contains accessions of intermediate size (HPL =
294 cm) with a high number of roots per plant (NTP= 7.68) and petioles of
medium length (LPE = 18.45
cm). The Agromorphological variability observed in
the study offers a great possibility of choosing elite accessions for the
breeding of improved varieties of cassava with high potential yield and
adapted to different agroclimatic zones of Côte d'Ivoire. Also, this study showed
that some accessions with the same names are phenotypically different. The
conservation of these accessions in collections will make it possible to
fight against the erosion of these genetic resources. |
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Accepted: 03/05/2024 Published: 30/06/2024 |
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*Corresponding Author THIEMELE Deless Edmond Fulgence E-mail: delessthiemele@ gmail.com |
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Keywords: Agromorphological diversity, Cassava
accession, Genetic erosion, Côte d'Ivoire. |
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INTRODUCTION
Cassava (Manihot esculenta
Crantz) from the Euphorbiaceae
family is an important tuber crop cultivated in many countries around the world
and more particularly in West Africa (N’Zué et
al., 2014; Agré et al., 2015). It draws
its importance firstly from its tuberous roots which are rich in starches and
its leaves which are rich in protein. It remains an undeniable asset for a
region that is less and less self-sufficient in terms of food (Gnonloufin et al.,
2011). It also draws its importance from its great ease of cultivation and its
various energy products. Ethanol obtained by starch fermentation could
completely replace gasoline (N’Zué et al., 2014; Agré
et al., 2015; Adjebang-Danguah
et al., 2016).
In Côte d’Ivoire, cassava represents the second food crop after yam with
an annual production of around 6.3 million tonnes (Faostat,
2022). This crop is well integrated into all cropping systems. The Ivorian
people have made it a staple food and there is a great varietal diversity favoring different types of local dishes (attiéké, bêdêkouman, placali, etc.). In production areas, cassava accessions are
designated by vernacular names linked to the phenotype or the name of the place
of origin or of a person who introduced it into a locality. This method of
designation often gives rise to confusion, since the same accession can have
different names depending on the production area. Also, cultural practices
linked to the use of cuttings infected by viruses from year to year promote the
progressive loss of varietal diversity of cassava (Amoakon
et al., 2023).
As well, the abandonment of certain traditional or local accessions by
farmers due to factors such as their low yield, their long production cycle and
their susceptibility to diseases (viruses, anthracnose, root rot) and pests
(mites, mealybugs, nematodes), contribute largely to the loss of cassava
genetic resources. In addition, the loss of soil fertility, the action of bush
fires, the difficulty of supplying healthy planting material among others cause
the decline in national yield. This constitutes a major threat to food
security, particularly for small farmers practicing subsistence agriculture (Segnou, 2002). These farmers, contribute to the spread of
viral-infected material through the exchange of infected cuttings, leading to a
constant reduction in yields (Singa et al., 2008). The result is a gradual
abandonment of local accessions in favor of improved
ones, leading to the erosion of local cassava genetic resources. However, the
preservation of these local accessions constitutes an important issue for
sustainable agricultural development in Sub-Saharan Africa. In the current
context of climate change, one of the strategies likely to combat this erosion involves
the collection, analysis and organization of the existing diversity in
production areas. This allows not only knowledge of the existing cultivars, but
also to guide the methods of conservation and management of these genetic
resources in varietal improvement programs.
The study of the diversity of accessions from the South of Côte d'Ivoire
will allow us to better understand the genetic diversity of these local
accessions and the agronomic potential in order to better exploit them in a
varietal improvement program to increase national production. Many studies of
characterization have been carried out on the genetic resources of cassava from
Côte d’Ivoire (N'Zué 2007; N'Zué
2014; Djaha et
al., 2017; Doubi et al., 2021; Kouakou et al., 2022; Kouakou et al.,
2023), however, cassava accessions newly collected in farmers' fields in the
regions of South of Côte d'Ivoire had not yet been characterized in terms of
morphological and agronomic traits.
Thus, the general objective of the present study was to study the agromorphological diversity of cassava accessions
cultivated in the South of Côte d'Ivoire for their efficient exploitation.
Specifically, the aim was to (i) characterize the
accessions on an agromorphological level and (ii)
establish the structure of the agromorphological
variability for rational conservation and management purposes.
MATERIALS AND METHODS
Site of study
The study was conducted in Toumodi region of
Côte d'Ivoire on the experimental site of Swiss Center
for Scientific Research (SCSR, Côte d’Ivoire). The experimental site is located
at 6°25’0’’ N et 5°4’60’’ W and the area of the study is
a transition zone, located between forest and savanna. The climate is
equatorial, with a big rainy season starting from March to July and a short one
starting from August to October. The average annual rainfall is 1200 mm of rain
spread over 5 to 6 months. The soil is ferralitic and
rich in humus.
Plant Material
The plant material consists of 47 local accessions of cassava collected
in the south of Côte d'Ivoire from farmers in the areas of Abidjan, Bonoua, Grang-Lahou, Aboisso and Dabou. These
accessions were referenced by their vernacular names given by the farmers. The number of accessions collected in the regions are summarised in the
table 1.
Table 1: List of local accessions used for the study.
|
N° |
Name of the accessions |
Origin |
N° |
Name of the
accessions |
Origin |
|
1 |
AKAMA |
Abidjan |
30 |
BOIS VERT |
Dabou |
|
2 |
PARASOL |
Abidjan |
31 |
ESSAPKELE |
Dabou |
|
3 |
ELEPHANT |
Abidjan |
32 |
6 MOIS |
Dabou |
|
4 |
CAMEROUN |
Abidjan |
33 |
BOCOU 1 |
Dabou |
|
5 |
OKOMA |
Abidjan |
34 |
YACE |
Bonoua |
|
6 |
YACE FOUTOU |
Abidjan |
35 |
BONOUA |
Bonoua |
|
7 |
SANDRA |
Abidjan |
36 |
ACCRA BANKYE |
Bonoua |
|
8 |
BONOUA ROUGE |
Abidjan |
37 |
6 MOIS |
Bonoua |
|
9 |
SICAVA |
Abidjan |
38 |
NANTALE |
Bonoua |
|
10 |
BOUAGA |
Abidjan |
39 |
DENIKACHA |
Bonoua |
|
11 |
NOUVELLE VARIETE CNRA |
Abidjan |
40 |
BEDINA |
Bonoua |
|
12 |
ANCIENNE VARITE CNRA |
Abidjan |
41 |
BAHIRE |
Bonoua |
|
13 |
MEDE |
Abidjan |
42 |
6 MOIS |
Aboisso |
|
14 |
YACE ATTIEKE |
Abidjan |
43 |
TAMBOU |
Aboisso |
|
15 |
TOGO |
Abidjan |
44 |
SINZI |
Aboisso |
|
16 |
WANGO |
Abidjan |
45 |
BAHIRE |
Aboisso |
|
17 |
MAMANWA |
Abidjan |
46 |
BONOUA |
Aboisso |
|
18 |
BONOUA VERT |
Abidjan |
47 |
NONKLO MOKLO |
Aboisso |
|
19 |
INCONNUE |
Abidjan |
|
|
|
|
20 |
SOGORO |
Abidjan |
|
|
|
|
21 |
TAPIOCA |
Abidjan |
|
|
|
|
22 |
BAHIRE |
Abidjan |
|
|
|
|
23 |
DABOU/ESSAPKELE |
Grand-Lahou |
|
|
|
|
24 |
YAVO |
Grand-Lahou |
|
|
|
|
25 |
AKAMA |
Grand-Lahou |
|
|
|
|
26 |
TIMITI |
Grand-Lahou |
|
|
|
|
27 |
YACE |
Grand-Lahou |
|
|
|
|
28 |
BOCOU 1 |
Grand-Lahou |
|
|
|
|
29 |
SAMAKE |
Dabou |
|
|
|
Experimental design
The field experiment was arranged in randomized complete block design with
three replications (or blocks). Each block was divided into
47 elementary plots and each elementary plot corresponds to an accession and
has 5 rows of 6 plants, for a total of 30 plants per elementary plot. The
planting density was 10,000 plants/ha, with a spacing of 1 m (rows) x 1 m
(plants) and 1.5 m between plots and 2 m between blocks. Stem cuttings (20-30 cm or 4-6 comprising nodes) were horizontally planted
on ploughed soil at a depth of less than 10 cm. A supply of NPK fertilizer
(15-15-15) was applied at a dose of 200 Kg/ha two months after planting. Five weedings were carried out as needed during the vegetative
phase.
Data collection
Eight (8) quantitative traits were selected in
standard descriptors for cassava (Fukuda et
al., 2010) to characterize agromorphological diversity (Table 2). The quantitative traits were
measured on ten plants. In order to avoid border effects, these plants were
chosen in the central part of each elementary plot.
Table 2: List of agro-morphological descriptors used for
the characterisation of 47 cassava accessions
|
Characters |
Codes |
Unit |
Description and measurement |
|
Number of branchings |
NNRAM |
It corresponds to the number of branching observed on the main stem |
|
|
Plant height Height of the first branching |
HPL HRAM1 |
cm cm |
It corresponds to the
distance from the ground to the top of the canopy It corresponds to the height from ground to first primary branch. |
|
Petiole length |
LPE |
cm |
It corresponds to the distance between the point of
insertion of the petiole on the stem and the base of the leaf |
|
Length of the central lobe |
LLOC |
cm |
It is the distance between the point of insertion of
the lobes and the upper tip of the central lobe. |
|
Diameter at the colet of
the principal stem |
DC |
cm |
It corresponds to the diameter of the most developed stem at the colet |
|
Number of storage roots per plant |
NTP |
Total number of consumable roots of each plant |
|
|
Fresh weight of accumulated roots per plant |
PTP |
kg |
Total root weight of each plant weighed with an electronic scale. Measured at harvest |
Data
analysis
The
collected data were processed using XLSTAT-Pro software version 2019. The
quantitative variables were first subjected to descriptive statistical
analyses, including correlations, followed by an analysis of variance (ANOVA)
to identify significant characteristics, with a significance level of 5%. When
the ANOVA was significant (p < 0.05), a Student Newman Keul
(SNK) test was performed to differentiate the means. Principal component
analysis (PCA) was then used to identify the relationships between the
different characteristics studied. The groups obtained from the ascending
hierarchical classification (AHC) were then characterised using a new analysis
of variance. Finally, the structure of the agromorphological
variation was visualised using Hierarchical Correspondence Analysis (HCA) with
Ward's method, enabling the results to be represented in the form of a
dendrogram.
RESULTS
Agromorphological variability of cassava accessions
Descriptive analysis of the measured traits revealed significant
differences between accessions. Most of the variables had a high coefficient of
variation (CV), ranging from 23.35% to 105.64%, thus showing the variability of
these traits within the cassava collection (Table 3).
The results of the analysis of variance (ANOVA) showed a significant
difference (p ˂ 0.001) between accessions on the basis of the 8 characters
assessed (Table 3). Descriptive analysis coupled with ANOVA showed that the
length of central lobe (LLOC) varied from 9.10 cm to 24.10 cm. The BENEDIA (Bonoua) accession had the smallest length of the central
lobe (9.10 cm) while the YACE FOUTOU (Azaguié) accession
had the largest value (24.10 cm). The petiole length (LPE) varied from 10.30 cm
to 47.10 cm with WANGO (Abidjan) accession having the smallest value (10.30 cm)
and the accession YACE FOUTOU (Abidjan) having the largest (47.10 cm). The colet diameter of the stem (DC)
varied from 1.36 to 3.34 cm between TIMITI accession (Grand-Lahou)
with 1.36 cm and YACE FOUTOU accession (Abidjan) with 3.34 cm. The number of
branching (NNRAM) varied from 0.30 to 4.1. The accession AKAMA (Grand-lahou) had the smallest value (0.30) and the BAHIRE
accession (Aboisso) had the greatest value (4.1). The
plant height also varied from 122 to 446 cm between MAMANWA (Abidjan) with 122
cm and YACE FOUTOU (Abidjan) with 446 cm. The height of the first branch
(HRAM1) varied from 0.30 to 225.40 cm between AKAMA accession (Abidjan) with
0.30 cm and BOCOU 1 accession (Dabou) with 225.40 cm.
The weight of the roots per plant (PTP) ranged from 0.24 to 11.40 kg. TAMBOU accession
from Aboisso had the smallest value (0.24 kg) and
SOROGO (Abidjan) accession had the greatest one (11.40 kg). The number of the
roots per plant (NTP) ranged from 1 to 13 between TAMBOU (Aboisso)
accession with 1 and ANCIENNE VARIETE CNRA (Abidjan) and TOGO (Abidjan) with 13
roots per plant.
Table 3: Descriptive statistics and results of the analysis
of variance (ANOVA) of 47 cassava cultivars for the quantitative traits
|
Variables |
Minimum |
Maximum |
Means |
Standard Deviation |
CV (%) |
F |
|
LLOC (cm) |
9.100 |
24.100 |
14.673 |
3.427 |
23.355 |
14.67** |
|
LPE (cm) |
10.300 |
47.100 |
19.632 |
6.032 |
30.725 |
19.63** |
|
DC (cm) |
1.360 |
3.340 |
2.156 |
0.450 |
20.871 |
2.15** |
|
NNRAM |
0.300 |
4.100 |
1.331 |
0.870 |
65.364 |
1.33** |
|
HPL (cm) |
122.000 |
446.000 |
280.153 |
71.108 |
25.381 |
280.15** |
|
HRAM1 (cm) |
0.300 |
225.400 |
72.869 |
76.982 |
105.644 |
72.86** |
|
PTP (kg) |
0.240 |
11.400 |
3.171 |
1.971 |
62.157 |
3.17** |
|
NTP |
1.000 |
13.000 |
6.214 |
2.521 |
40.561 |
6.21** |
LLOC: Length of the central lobe; LPE: Petiole length; DC: Diameter at
the colet of the principal
stem; NNRAM: Number of branchings; HPL: Plant height;
HRAM1: Height of the first branching; PTP: Fresh weight of accumulated roots
per plant; NTP: Number of storage roots/plant. ** :
Significant at 1 % level of probability.
Correlations between measured quantitative
characteristics
The correlation coefficients obtained between the characters varied from
-0.443 to 0.629 at the 5% threshold. Table 4 highlights many significant
correlations between traits. Thus, the petiole length (LPE) is positively
correlated with the length of the central lobe (r = 0.629). The length central
lobe was itself negatively correlated with the height of the first branching (r
= -0.443). The height of the first branching is also positively correlated with
the number of branching (r = 0.425). Plant height is positively correlated with
the diameter at the colet of
the principal stem (r = 0.405). Finally, the number of storage roots per plant
is positively correlated with the weight of accumulated roots per plant (r =
0.48).
Table 4: Correlation coefficients between the 8 variables
measured
|
Variables |
LLOC |
LPE |
DC |
NNRAM |
HPL |
HRAM1 |
PTP |
NTP |
|
LLOC |
|
|
|
|
|
|
|
|
|
LPE |
0.629 |
|
|
|
|
|
|
|
|
DC |
0.361 |
0.338 |
|
|
|
|
|
|
|
NNRAM |
-0.206 |
-0.138 |
0.072 |
|
|
|
|
|
|
HPL |
0.345 |
0.334 |
0.405 |
-0.120 |
|
|
|
|
|
HRAM1 |
-0.443 |
-0.292 |
0.009 |
0.425 |
0.014 |
|
|
|
|
PTP |
-0.002 |
0.262 |
0.275 |
0.114 |
0.241 |
0.216 |
|
|
|
NTP |
0.023 |
0.187 |
0.155 |
-0.018 |
0.305 |
0.131 |
0.480 |
Values in bold are correlations
significant at the 5% threshold.
LLOC: Length of the central lobe ; LPE : Petiole
length; DC : Diameter at the colet of the principal
stem; NNRAM : Number of branchings; HPL : Plant
height; HRAM1 : Height of the first branching; PTP : Fresh weight of
accumulated roots per plant ; NTP : Number of storage roots/plant. ** : Significant at 1 % level of probability
Structuring the diversity of accessions
Principal
Component Analysis (PCA)
The first Principal Component (PC) axis with an eigen value of 2.93 accounted for 36.65% of the variation.
The traits that contributed most of the variation were length of the central
lobe (LLOC), length of the petiole (LPE), Diameter of the colet (DC) and plant height (HPL). The second PC also
contributed 25.50% of the total variation and contained the number of branchings (NNRAM), the height of the first branching
(HRAM1), the weight of accumulated roots per plant (PTP) and the number of
storage roots per plant NTP). The third PC with 12.89% contribution was
associated with the number of branchings (NNRAM)
(Table 5).
Table 5: Eigenvalues, correlations between traits and the
first three-component axis
|
|
Axis 1 |
Axis 2 |
Axis
3 |
|
|
Eigen value |
2.932 |
2.040 |
1.031 |
|
|
Variance. Percent (%) |
36.649 |
25.50 |
12.892 |
|
|
Cumulative. Variance percent
(%) |
36.649 |
62.149 |
75.041 |
|
|
Length of the central
lobe (LLOC) Petiole length (LPE) Diameter at the colet of the principal stem (DC) Number of branchings (NNRAM) Plant height (HPL) Height of the first
branching (HRAM 1) Fresh weight of
accumulated roots per plant (PTP) Number of storage roots
per plant (NTP) |
0,828** 0,850** 0,639** -0,466 0,682** -0,473 0,286 0,359 |
-0,282 -0,061 0,376 0,572* 0,317 0,701** 0,720** 0,615** |
0,233 0,182 0,485 0,544* -0,054 0,195 -0,284 -0,539 |
|
Values
in bold are correlations significant at the 1 and 5% threshold: ** : Significant at 1 % level of probability and, *:
Significant at 5 % level of probability.
Ascending Hierarchical
Clustering (AHC)
Ascending hierarchical clustering led to the dendrogram presenting three
clusters or groups of accessions (Figure 1). The group 1 contained 15
accessions and included the tallest accessions (HPL = 305.57cm), with an
average number of roots per plant (NTP = 6.31) and long petiole (LPE =
24.84cm). The group 2 gathered 23 accessions of small size (HPL = 260 cm) with
a low number of roots per plant (NTP = 4.17) and short petioles (17.07 cm). The
group 3 grouped 9 accessions of intermediate size (HPL = 294 cm) with a high
number of roots per plant (NTP= 7.68) and petioles of medium length (LPE =
18.45 cm) (Table 6). The ANOVA carried out between these three groups is
summarized in Table 7. The analysis of this table clearly revealed highly
significant (P < 0.001) differences among these groups and confirms the
classification of the 47 accessions into distinct groups.
The results also showed that several accessions having the same
vernacular names and supposedly identical are phenotypically different because
they belong to different genetic groups. Thus, the AKAMA accession collected in
Abidjan (Group 1) is different from that collected in Grand Lahou
(Group 3). The same observation is made with YACE accessions. Indeed, YACE
accession from Bonoua (Group 1) was different to YACE
from Grand Lahou (Group 3). Also, 6 MOIS from Bonoua (Group 2) was different to 6 MOIS from Dabou (Group 3).
Table 6: Distribution of different cassava accessions in
each group
|
Groups |
1 |
2 |
3 |
|
Numbers of accessions |
15 |
23 |
9 |
|
|
YACE FOUTOU (Azaguie) |
6 MOIS (Bonoua) |
TIMITI (Grand Lahou) |
|
AKAMA Abidjan (Bimbresso) |
TOGO Abidjan (Ayama) |
YACE (Grand Lahou) |
|
|
BOIS VERT (Dabou) |
SAMAKE (Dabou) |
BONOUA VERT (Azaguie) |
|
|
OKOMA |
BOCOU 1 (Grand Lahou) |
TAMBOU (Aboisso) |
|
|
YACE (Bonoua) |
6 MOIS (Aboisso) |
AKAMA (Grand Lahou) |
|
|
ELEPHANT Abidjan
(Bimbresso) |
SOGORO (Azaguie) |
NONKLO MOKLO (Aboisso) |
|
|
SICAVA Abidjan (Bimbresso) |
BONOUA (Bonoua) |
6 MOIS (Dabou) |
|
|
CAMEROUN Abidjan
(Bimbresso) |
BAHIRE (Bonoua) |
BONOUA (Aboisso) |
|
|
MÈDÈ Abidjan (Ayama) |
ANCIENNE VARIETE
CNRA Abidjan (Bimbresso) |
MAMANWA Abidjan
(Ayama) |
|
|
BOUAGA Abidjan (Ayama) |
BAHIRE (Aboisso) |
||
|
YAVO (Grand Lahou) |
SANDRA Abidjan (Ayama) |
||
|
SINZI (Aboisso) |
BAHIRE Abidjan (Brofodoumé) |
||
|
DABOU/ESSAPKELE
(Grand Lahou) |
INCONNUE Abidjan
(Ayama) |
||
|
ESSAPKELE (Dabou) |
TAPIOCA Abidjan
(Brofodoumé) |
||
|
NOUVELLE VARIETE
CNRA Abidjan (Bimbresso) |
NANTALE (Bonoua) |
||
|
ACCRA BANKYE (Bonoua) |
|||
|
PARASOL Abidjan
(Bimbresso) |
|||
|
DENIKACHA (Bonoua) |
|||
|
YACE ATTIEKE (Azaguie) |
|||
|
BEDINA (Bonoua) |
|||
|
WANGO Abidjan (Bimbresso) |
|||
|
BOCOU 1 (Dabou) |
|||
|
|
|
BONOUA ROUGE (Azaguie) |
|
Table 7: Characteristics of the groups resulting from the
Ascending Hierarchical Classification
|
Variables |
Group 1 |
Group 2 |
Group 3 |
|
Numbers of
accessions |
15
|
23 |
9 |
|
LPE |
24.84 ± 7.69a |
17.07 ± 3.91c |
18.45 ± 4.93b |
|
HPL |
305.57 ± 78.76a |
260.28 ± 33.21c |
294 ± 76.93b |
|
DC |
2.24 ± 0.41a |
2.25 ± 0.42a |
2.07 ± 0.42b |
|
PTP |
2.95 ± 1.78b |
2.82 ± 1.69b |
3.24 ± 2.53a |
|
NTP P |
6.31 ± 2.42b ˂ 0.001 |
4.71 ± 1.89c ˂ 0.001 |
7.68 ± 3a ˂ 0.001 |
LLOC: Length of the
central lobe; LPE: Petiole length; DC: Diameter at the colet of the principal stem; NNRAM: Number of branchings; HPL: Plant height; HRAM1: Height of the first
branching; PTP: Fresh weight of accumulated roots per plant; NTP: Number of
storage roots/plant.

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Figure 1: Cluster dendrogram depicting the genetic
relationship between 30 cassava accessions based on the Ward’s meth
DISCUSSION
Plant breeding based on classical methods uses
morphological traits of plants growing in the field as basis for identification
(Fukuda et al., 2010; Robooni et al.,
2014). It has been effectively used as a powerful tool in the classification of
cultivars and the study of their taxonomic status (Elisabeth, 2011). Also,
collection characterization based on agromorphological
traits is the preliminary phase for molecular studies to be much more precise. Agromorphological characterization are still used successfully in numerous characterization
and agronomic evaluation studies, thus allowing easier and faster
differentiation of phenotypes especially in cassava (N’Zué
et al., 2014, Setiawan and Sebayang, 2022; Diaguna
et al., 2022; Kouakou
et al., 2023). This study permitted
to evaluate the level of cassava variability newly collected in farmers' fields
in the regions of South of Côte d'Ivoire by using morphological and agronomic
traits.
The analysis carried out showed a significant variation within the studied
accessions, thus allowing a preliminary assessment of the structuring of the
diversity of cassava collected in the South of Côte d'Ivoire.
Multivariate analysis are statistical methods used in diversity analyses.
In this study, multivariate analysis was used to elucidate the nature and
degree of divergence of the cassava accessions. The PCA, applied to the 47
accessions on the basis of characters, results in the existence of a total
variability of 75.04% within the cassava collection. This variability is
greater than that observed by Ephrem et
al. (2014) in Central African Republic and Kouakou
et al. (2023) in Côte d’Ivoire based
on agromorphological characterization. Indeed, these
authors respectively obtained a variability of 55% for the first six cumulative
axes and 57.45% for the first four cumulative axes having eigenvalues greater
than 1. This high variability within the cassava accessions in the area of
Southern Côte d'Ivoire could be explained by regular introductions of cassava
varieties from neighboring countries of Côte d'Ivoire
such as Ghana, Togo and Nigeria, by cultivation practice based on use of
several assessions in the same field and the continuous exchanges of plant
material between farmers from different localities (Missihoun
et al., 2012; Ferguson et al., 2019; Kouame et al., 2023).
Ascending Hierarchical Clustering (AHC) performed in this study revealed three groups or three morphological
clusters. Similar results on cassava were obtained by N’Zué et al. (2014), Djaha et al. (2017), and Kouakou
et al. (2022, 2023) who obtained
three clusters by assessing respectively the morphological diversity of 159, 44
and 200 cassava accessions from Côte d’Ivoire. These results therefore indicated that cultivated
cassava in Côte d'Ivoire could be grouped into three
distinct genetic clusters. Three distinct genetic clusters were obtained
again by Yusuf et al. (2016) by
assessing the morphological diversity of 22 cassava accessions from several
regions in Riau province, Indonesia. Swathy et al. (2023) obtained similar results
in India.
Within these three groups, we found accessions collected in different areas
under the same names but phenotypically different. Indeed, within villages,
exchanges of plant material are frequent between producers and most often
different accessions have the same vernacular name or that several names could
be given to a single cultivar on the farm as reported by Elias et al. (2001). This situation is the
basis of several duplicates among the cassava accessions as detected by N’Zué et al. (2014)
in collection from three zones in Côte d'Ivoire.
The variables that discriminated the three
clusters were the height of the plant, the
number of roots per plant and the length of the petiole. Our results are similar to those of Agre et al.
(2015) who through the same quantitative parameters revealed a large
variability within 116 cassava genotypes from Benin. Djaha
et al. (2017) also showed that in
their study on 44 cassava accessions, a total variability based on the height
of the first branch, plant height, number of lobes and petiole length. These
results show the relevance of the choice of the different parameters in our
study.
CONCLUSION
The study of the diversity of 47 cassava accessions
based on 8 descriptors showed significant variability. This diversity was
structured into 3 groups characterized by the height of the plant, the length
of the petiole and the number of roots per plant. Thus, the collection of
accessions from the South of Côte d’Ivoire has different groups of cassava. A
group of plants with height (305.57 cm), with an average number of roots per
plant (6.31) and a long petiole (24.84 cm). A groups of cassava accessions with
a low number of roots per plant (4.17) and small size (260 cm) with small
petiole (17.07 cm) and a group of intermediate sized (294 cm) with a high
number of roots per plant (7.68) with medium-sized petioles (18.45 cm). This
description highlights the heterogeneity that exists within the cultivars held
by farmers. The significant diversity highlighted offers great potential for
the varietal improvement of cassava. This diversity could be used for food as
well as for the development of varieties with multiple uses. The results of
this study also showed that some accessions with the same vernacular names are
genetically different. The study of the genetic diversity of cassava accessions
from South of Côte d'Ivoire, through molecular markers, would deepen our
knowledge of this genetic pool. However, it would be important to extend the
prospecting area throughout the country in order to discover other accessions
of cassava with characters of interest which could be valued in a varietal
selection program. Also, complementary studies like molecular characterization
are necessary.
REFERENCES
Agre, A., Dansi, A., Rabbi, I. Battachargee,
R. Dansi, M. and Melaku, G.
(2015). Agromorphological characterization of elite
cassava (Manihot esculenta Crantz) cultivars collected in Benin. International Journal
of Current Research in Biosciences and Plant Biology 2(2): 1-14.
Amoakon, W.J.L., Yoboué, A.A.N., Pita, J.S., Mutuku, J.M., N'Zué, B., Combala, M., Otron, D.H., Koné, M., Kouassi, N. and Sié, R.
(2023). Occurrence of cassava mosaic begomoviruses in
national cassava germplasm preserved in two agro-ecological zones of Ivory Coast.
Plant Pathology 72: 1011–1021.
Diaguna, R., Santosa, S.E., Hartono, Pramuhadi, A.G., Nuryartono, N., Yusfiandayani, R. and Prartono,
T. (2022). Morphological and Physiological Characterization of Cassava
Genotypes on Dry Land of Ultisol Soil in Indonesia. International Journal of Agronomy: 1-11.
Djaha, K.E., Abo, K., Bonny, B.S., Kone, T., Amouakon,
W.J.L., Kone, D. and Kone. M. (2017). Caractérisation agromorphologique
de 44 accessions de manioc (Manihot esculenta Crantz) cultivés en Côte d’Ivoire. International Journal of
Biological and Chemical Sciences 11(1): 174-184.
Doubi, S., Djaha, E., Angui, V.D., Fouha, N., Hala, Baudoin, J-P. and Zoro. A. (2021). In-situ morphological characterization of
cassava landraces (Manihot esculenta Crantz) from Côte
d’Ivoire. International Journal of Advanced Research 9: 01‑13.
Elias, M., Doyle, M., Panaud,
O., Anstett, M. and Thierry, R. (2001). Traditional management of cassava
morphological and genetic diversity by the Makushi
Amerindians (Guyana, South America): Perspectives for on-farm conservation of
crop genetic resources. Euphytica 120: 143‑57.
Ephrem, K.K., Sêmihinva, A., Woegan,
Y.A., Duval, M.F. Dourma, M., Zinga, I., Yandia, P., Longue, D.
and Semballa. S. (2014). Diversité
agromorphologique de Manihot
esculenta Crantz cultivée dans trois
zones agroclimatiques en République
Centrafricaine. European Scientific Journal 10:
365-380.
Faostat (2022). Production en Côte d’Ivoire. https://www.fao.org/faostat/fr/#rankin gs/commodities_by_country.
Ferguson, M.E., Shah, T., Kulakow,
P. and Ceballos, H. (2019). A global overview of cassava genetic diversity. Plos ONE 14(11): e0224763 FIRCA. La filière
manioc 5 - 8 pp.
Fukuda, W.G., Guevara, C., Kawuki,
R. and Ferguson, M.E. (2010). Selected Morphological and Agronomic Descriptors
for the Characterisation of Cassava. (IIITA Éd.: Ibadan, Nigeria 19.
Gnonlonfin, G.J.B., Koudande, O.D., Sanni,
A. and Brimer. L. (2011). Farmers’ perceptions on
characteristics of casava (Manihot esculenta Crantz)
varieties used for chips production in rural areas in Benin, West Africa.
International Journal of Biological and Chemical Sciences 5(3): 870-879.
Kouakou, D.A., Koffi, K.K.,
Bonny, S.B., Koffi, G.K. and Zoro
Bi A.I. (2022). Assessment of Genetic Diversity in Côte d’Ivoire Cassava (Manihot esculenta Crantz)
Using SSR Markers. Philippine Journal of Science 151 (3): 1067-1075.
Kouakou, D.A., Koffi, K.K., Angui, C.M.V., Komenan, A.O. and Zoro Bi, A.I. (2023).
Agro morphological variability of cassava varieties cultivated in five
regions of Côte d’Ivoire based on quantitative traits. Journal of Applied
Biosciences 181 :18962– 18973.
Kouame, K.J.M.B., Kouakou, K.S. and Aka, B. (2023). Dynamique
temporelle de l’adoption de
la culture du manioc en Côte d’Ivoire. Revue Espace Géographique et Société Marocaine 71: 203-218.
Missihoun, A.A, Agbangla, C., Adoukonou-agbadja,
H., Ahanhanzo, C. and Vodouhè. R. (2012). Gestion traditionnelle et statut des ressources
génétiques dusorgho
(Sorghum bicolor L. Moench)
au Nord-Ouest du Bénin.
International Journal of Biological and Chemical Sciences 6(3): 1003- 1018.
N’Zué B. (2007). Caractérisation
morphologique, sélection variétale et amélioration
du taux de multiplication végétative
chez le manioc (Manihot esculenta
Crantz (Euphorbiaceae).
Thèse de doctorat, spécialité :
génétique, option amélioration
des productions végétales, soutenue
en 2007 à l’Université de Cocody,
141 p.
N’Zué, B., Okana, M., Kouakou,
A., Dibi, K., Zouhouri, G.
and Essis. B. (2014). Morphological characterization
of cassava (Manihot esculenta Crantz) accessions collected in the centre-west, South-west
and west of Côte d’Ivoire. Greener Journal of Agricultural Sciences 4(6):
220-231.
Segnou (2002). Développement végétatif
et potentiel de rendement chez le manioc. Tropicultura,
20(4): 161-164.
Robooni, T., Paul S., Rob, M., Robert, K. (2014). Combining ability analysis of
storage root yield and related traits in cassava at the seedling evaluation
stage of breeding. J. Crop Improv. 28(4), 530-546.
Setiawan, A., and Sebayang,
N.U.W. (2022). Identification of Cassava (Manihot esculenta Crantz.)
Morpho-physiological Traits in the Toba Regency. Earth and Environmental
Science, 1188: 012031.
Singa, I., Nguimalet, C.R., Lakouetene,
D.P., Konaté, G., Komba, E.K. and Semballa, S.
(2008). Les effets de la mosaïque
africaine du manioc en République
centrafricaine. Geo-Eco-Trop, 32: 47-60.
Swathy, S., Arya, K., Sheela, M.N., Revathi, B.S., Prakash Krishnan, B.S., Senthilkumar, K.M. (2023). Genetic diversity analysis of
Indian Cassava (Manihot esculenta Crantz) accessions using morphological and molecular
markers. South African Journal of Botany, 161: 347-357.
Yusuf,
N., Novita, L., and Indriyani, D. (2016).
Characteristics of 22 cassava (Manihot esculenta Crantz) Genotypes
from riau province, Indonesia, 48 (2): 110-119.
Cite this Article: Thiemele, DEF; Silue, S; Noba, AGT (2024). Agromorphological diversity of local cassava (Manihot esculenta Crantz) accessions cultivated in the South of Côte
d’Ivoire. Greener Journal of
Agricultural Sciences, 14(1): 113-122.
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