Weed Diversity under Cover Crops Arachis repens (L.) and Desmodium adscendens (Sw.) in Banana Plantations in Southeastern Côte d’Ivoire

Abstract

In industrial dessert banana cultivation, weed control involves the use of chemical herbicides that are harmful to human health and the environment. In this study, the introduction of cover crops as an alternative was considered in banana plantations in southeastern Côte d’Ivoire. The experimental design was a Fisher block with three replicates of three treatments consisting of the use of the species Arachis repens and Desmodium adscendens, as well as two synthetic herbicides (control). The specific diversity and biological spectrum of weeds were evaluated. The results identified 71 weed species divided into 50 genera and 25 families, with slightly greater diversity of species and biological spectrum in the D. adscendens and control plots compared to A. repens. This study therefore suggests that A. repens could be used as a cover crop for weed management in banana plantations, replacing herbicides such as glyphosate and glufosinate. This conclusion is supported by the lower weed diversity observed under Arachis repens, indicating its superior competitive ability and stronger weed-suppressive effect.

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Kouadio, E. , Kouame, K. , Kouame, K. , Kassi, K. , Cherif, M. , Camara, B. , Abo, K. and Dick, A. (2025) Weed Diversity under Cover Crops Arachis repens (L.) and Desmodium adscendens (Sw.) in Banana Plantations in Southeastern Côte d’Ivoire. American Journal of Plant Sciences, 16, 1211-1224. doi: 10.4236/ajps.2025.1612080.

1. Introduction

Dessert bananas from Musa spp., AAA, are an important crop in the economy of Côte d’Ivoire, which is Africa’s leading exporter to the European market, with more than 350,000 tons of fruit sold during the 2018/19 season [1]. However, like all cultivated plants, banana trees face pressure from numerous pests, particularly weeds [2]. In addition to being potential reservoirs for predators or diseases, weeds very often compete directly with crops for water, nutrients, and space [3]. Crop losses are estimated at 9.7% worldwide and 25% in Côte d’Ivoire [4] [5]. The relatively excessive use of synthetic herbicides to control weeds on agricultural land in general, and in banana plantations in particular, often generates prohibitive costs. This practice also poses numerous risks to both health and the environment through various types of pollution [6]. With the aim of steering cropping and pest control systems towards practices that meet the challenges of sustainable agriculture [7], the use of cover crops that are capable of smothering weeds is presented as an alternative to the application of synthetic chemical herbicides [8] [9]. In banana cultivation, several studies have been conducted on the use of annual and perennial cover crops for weed control [10]-[12]. However, few studies are available that have been conducted in Côte d’Ivoire on weed control in banana plantations using cover crops. This study aims to contribute to the biological control of weed growth in banana plantations by utilising cover crops. It will compare the specific diversity and biological spectrum of weeds under the cover crops Arachis repens and Desmodium adscendens, native to the local flora.

2. Materials and Methods

2.1. Experimental Site

The trial was conducted in an industrial banana plantation in Southeastern Côte d’Ivoire (5˚41'04.09'' N, 3˚3'53.95'' W, 100 m altitude). The climate, which is tropical and humid, is characterized by four seasons, two dry and two rainy [13]. The vegetation is diverse and includes coastal savannas, mangroves, swamp forests, riparian forests, and evergreen forests [14]. During the study (April 2019 to July 2020), the average temperature fluctuated around 27˚C and rainfall was recorded at approximately 2915.11 mm (Figure 1).

2.2. Plant Material

Plants of Arachis repens, and Desmodium adscendens (non-food legumes), as well as banana trees (Musa sp., AAA, Cavendish, Grande Naine cultivar) were used as plant material. The individuals of the first two species mentioned, aged 84 days, were grown from cuttings taken in a nursery using coconut fiber. The nurseries were set up in the greenhouse at the experimental station. For the third species, the plants were obtained after 77 days of acclimatization in the nursery from imported vitroplants.

Figure 1. Rainfall and temperatures of the study site during the test period.

3. Methodology

3.1. Selection, Preparation of the Plot, and Transplanting of Cover Crops

For the trial, a banana plantation (3.6 ha), which had been left fallow for one year, was selected. At the time of plot preparation, the plantation contained banana trees aged 6 weeks. Within the plantation, three successive blocks, each with an area of 1080 m2 (108 × 10 m), were selected. Fourteen days before the cover plants were installed, the weed flora was treated with glufosinate (SL 200 g/l) at a dose of 2 l/ha, using a backpack sprayer. Subsequently, weeding with a hoe was carried out to remove any weeds that were still alive. In addition, each block was subdivided into three elementary plots with an individual area of 360 m2 (36 × 10 m) and identified with signs. The cover plants from the nursery were transplanted during the rainy season over the entire surface of the elementary plots. The plants, removed from the seedling trays, were transplanted at a spacing of 30 × 30 cm, a density of 111,111 individuals/ha. Before and after transplanting, the plot and the plants were watered.

3.2. Trial Maintenance

Trial maintenance consisted of manually pulling up resistant weeds and removing them from the banana plantation. For the control plots, weeding was done by applying glufosinate every 4 weeks during the first two months of the trials, then glyphosate (SL 360 g/l; 3 l/ha) every 8 weeks until the end of the experiment according to the standard local practice in banana cultivation. Glufosinate, a contact herbicide, acts rapidly on young broadleaved weeds and has low phytotoxicity for banana young plants, whereas glyphosate, a systemic herbicide, provides broader-spectrum control later in the cycle when weed communities are more established and has low phytotoxicity on banana old plants. These practices were carried out when weeds began to dominate the cover crops or invade the control plots. Other maintenance activities were those commonly used in banana plantations. These included fertilization (NPK 12.5-04-28, urea 46, DAP 18-46, KCl 50, etc.), irrigation (2 hours per intervention every 2 days during the dry season), chemical and physical control of major pests and parasites (sigatoka, nematodes, black weevils), and care of banana trees and fruit.

3.3. Experimental Design

The trial was arranged in a Fisher block design with three replicates of three treatments. The factor studied was the method of weed management, with the treatments A. repens, D. adscendens, and herbicides (control). Each elementary plot or experimental unit was equivalent to one replicate of a treatment (factor treatment). Each replicate consisted of 60 banana plants planted at a density of 1820 plants/ha (2 × 2 staggered rows, with a spacing of 2.2 m between banana plants in the row and 1.7 m between double rows). For the elementary plots treated with cover crops, transplanting was carried out at a density of 111,111 plants/ha (spacing of 30 cm × 30 cm). For each cover crop, the number of plants transplanted per experimental unit was 4000. Within the same block, the experimental units were spaced 3 m apart. Two successive blocks were separated by a drain 1 m wide and 1 m deep.

3.4. Data Collection and Analysis

The weediness of the experimental plots was assessed during the two trial phases in the banana plantation, starting on the 28th day after the cover plants were transplanted. Floristic surveys were conducted every two months using the systematic sampling method [15]. This method involves the use of observation squares measuring 1 m2 each, randomly arranged at each assessment on the diagonals of the experimental units, at a rate of five per elementary plot [5]. The species observed were identified on site or collected and placed in a herbarium after being dried for three days at a temperature of 55˚C, then sent to the National Floristic Center (CNF) for identification (Figure 2). The data collection focused on qualitative variables, namely the specific diversity of weed species and their biological spectrum. The weeds inventoried were classified according to species, genera, families, classes, and biological types based on the model developed by Ake-Assi [16] [17], adapted from that of Raunkiaer [18]. Verification and correction of species names were carried out using the CNF herbarium and the works of Lebrun and Stork [19]-[22] and Ake-Assi [16] [17]. The abbreviations of the biological types used are those defined by Ake-Assi [16] [17]. The percentage of a biological type was calculated from the ratio between the sum of the abundance-dominance indices of its weeds and that of all species, multiplied by 100, using the formula used by Tialou et al. [23]. The collected data were entered and processed using Excel 2021 spreadsheet software and its XLSTAT add-in, version 2016. Shapiro-Wilk’s test for normality and Levene’s test for homogeneity were performed before analysis of variance (ANOVA). These analyses aimed to compare the numbers of weed species, genera, families, and biological types among treatments. In case of rejection of the hypothesis of equality between means, Duncan’s test at the 5% significance level was performed to identify homogeneous groups (p < 0.05).

Figure 2. Weed species included in the herbarium.

4. Results

4.1. Floristic Diversity of Banana Plantations

A total of 315 floristic surveys were carried out across the entire experimental plot, at a rate of 105 per modality. Analysis of variance (ANOVA) showed statistically significant differences (p < 0.05) in the number of species and genera among treatments, but not for families and classes of weeds. The herbicide-treated plots and those associated with Desmodium adscendens exhibited higher richness of genera and families than the Arachis repens plots. For the entire study plot, three classes comprising 25 families, 50 genera, and 71 species were recorded (Table 1 and Table 2). Dicotyledons were most dominant, accounting for at least 55% of the total, regardless of treatment. Monocotyledons contributed between 41% and 34% to the diversity of the flora, while pteridophytes were represented by only two species, accounting for less than 5% (Table 3). The families most represented in terms of species are grouped in Table 4. Overall, these were Poaceae (11.27% to 18.31%), Cyperaceae (11.27% to 15.49%), Euphorbiaceae (4.22% to 9.85%), Asteraceae (5.63% to 8.45%), Passifloraceae and Rubiaceae (2.82% to 4.22%), Amaranthaceae and Fabaceae (1.41% to 4.22%). In the Poaceae, Passifloraceae, Fabaceae and Rubiaceae families, the differences observed between A. repens, D. adscendens, and the control are not statistically significant (p > 0.05). For Cyperaceae, the highest values were recorded under D. adscendens and in the herbicide-treated plots, unlike A. repens, where the proportion is significantly lower. In the case of the Asteraceae and Euphorbiaceae, the control plots show higher proportions. Among Amaranthaceae, the proportion is significantly lower in plots under A. repens (p < 0.05). Overall, A. repens significantly reduced the species richness of several major weed families (Cyperaceae, Amaranthaceae, Asteraceae and Euphorbiaceae), while D. adscendens is similar to the herbicide-treated plots for these families.

Table 1. Class, family, genus, and codes of all weed species inventoried during the study.

No.

Species

Genera

Families

Classes

1

N. biserrata (Sw.) Schott.

Nephrolepis

Dennstaedtiaceae

Pteridophytes

2

P. aquilinum (Linn.) Kuhn

Pteridium

Dryopteridaceae

3

C. alopecuroides Rottb.

Cyperus

Cyperaceae

Monocotyledons

4

C. esculentus L.

5

C. iria L.

6

C. odoratus L.

7

C. rotundus L.

8

C. sphacelatus Rottb.

9

C. strigosus L.

10

F. dichotoma (L.) Valh

Fimbristylis

11

F. littoralis Gaudich.

12

K. bulbosa P. Beauv

Killinga

13

M. flabelliformis Kunth

Mariscus

14

A. compressus (Sw.) P. Beauv.

Axonopus

Poaceae

15

B. vulgaris Shrad. Ex J.C. Wendl.

Bambusa

16

C. dactylon (L.) Pers.

Cynodon

17

D. horizontalis Willd.

Digitaria

18

D. sanguinalis (L.) Scop.

19

E. colona (L.) Link.

Echinochloa

20

E. obtusiflora Stapf.

21

E. indica (L.) Gaertn.

Eleusine

22

E. tremula Hochst ex Steud.

Eragrostis

23

P. laxum Sw.

Panicum

24

P. maximum Jacq.

25

P. dilatatum Poir.

Paspalum

26

S. halepense (L.) Pers.

Sorghum

27

A. sessilis (L.) R. Br. ex DC.

Alternanthera

Amaranthaceae

Dicotyledons

28

A. spinosus L.

Amaranthus

29

A. viridis L.

30

A. conyzoides L.

Ageratum

Asteraceae

31

B. pilosa L.

Bidens

32

C. odorata (L.) R. King & H. Rob.

Chromolaena

33

E. praetermissa Milne-Redh.

Emilia

34

E. floribundus (H.B. & K.) Schultz

Erigeron

35

S. sparganophora (L.) Kuntze

Struchium

36

C. obtusifolia L.

Cassia

Caesalpiniaceae

37

C. ciliata Schum. &Thonn.

Cleome

Cleomaceae

38

C. rutidosperma DC.

39

C. diffusa Burm.

Commelina

Commelinaceae

40

C. erecta L.

41

I. triloba L.

Ipomoea

Convolvulaceae

42

A. cordifolia Schum. & Thonn.

Alchornea

Euphorbiaceae

43

E. heterophylla L.

Euphorbia

44

E. hirta (L.) Millsp.

45

E. hyssopifolia L.

46

E. prostrata Ait.

47

H. brasiliensis Mùll

Hevea

48

P. amarus Schum. & Thonn.

Phyllanthus

49

C. mucunoides Desv.

Calopogonium

Fabaceae

50

D. dichotomum (Willd.) DC.

Desmodium

51

I. hirsuta L.

Indigofera

52

H. rotundifolia (Sm.) Jacq.

Heterotis

Melastomataceae

53

M. pudica L.

Mimosa

Mimosaceae

54

F. exasperata Vahl

Ficus

Moraceae

55

L. hyssopifolia G. Don

Ludwigia

Onagraceae

56

L. octovalvis Jacq. PH Raven

57

P. edulis Sims

Passiflora

Passifloraceae

58

P. foetida L.

59

P. trifasciata Lem.

60

P. pellucida (L.) Kunth.

Peperomia

Piperaceae

61

B. crenata (P. Beauv.) Hepper

Bacopa

Plantaginaceae

62

T. triangulare (Jacq.) Willd.

Talinum

Portulacaceae

63

B. latifolia (Aublet.) K. Schum.

Borreria

Rubiaceae

64

O. corymbosa L.

Oldenlandia

65

O. lancifolia (Schum.) DC.

66

S. melongena L.

Solanum

Solanaceae

67

S. torvum Sw.

68

S. zeylanica Gaertn

Sphenoclea

Sphenocleaceae

69

U. urens L.

Urtica

Urticaceae

70

C. splendens G. Don

Clerodendrum

Verbenaceae

71

L. camara L.

Lantana

Table 2. Number of classes, families, genera, species, and proportions of weed flora according to banana plantation weed management treatment.

Weed management treatments

Classes

Families

Genera

Species

Number

P (%)

Number

P (%)

Number

P (%)

Number

P (%)

A. repens

3 a

100 a

19 a

76 a

34 b

68 b

44 b

61.97 b

D. adscendens

3 a

100 a

20 a

80 a

39 a

78 a

49 a

69.01 a

Herbicides

3 a

100 a

21 a

84 a

37 ab

74 ab

51 a

71.83 a

All treatments

3

100

25

100

50

100

71

100

P: proportions; In the same column, values followed by the same letter are not significantly different at the 5% level according to the Duncan test.

Table 3. Number and proportion of weed species by class according to weed management treatments in banana plantations.

Weed management treatments

Classes

Weed species

Number

Proportion (%)

A. repens

Dicotyledons

27 a

61.36 a

Monocotyledons

16 b

36.36 b

Pteridophytes

1 c

2.27 c

Total

44

100

D. adscendens

Dicotyledons

27 a

55.10 a

Monocotyledons

20 a

40.82 a

Pteridophytes

2 b

4.08 b

Total

49

100

Herbicides

Dicotyledons

31 a

60.78 a

Monocotyledons

19 b

37.25 b

Pteridophytes

1 c

1.96 c

Total

51

100

All treatments

Dicotyledons

45 a

63.38 a

Monocotyledons

24 b

33.80 b

Pteridophytes

2 c

2.82 c

Total

71

100

For a treatment within the same column, values followed by the same letter are not significantly different at the 5% level according to the Duncan test.

4.2. Biological Spectrum of Weeds

All biological types were present in the adventitious vegetation inventoried on the experimental site. These include megaphanerophytes (MP), mesophanerophytes (mP), microphanerophytes (mp), nanophanerophytes (np), geophytes (G), hydrophytes (Hyd), chamaephytes (Ch), hemicryptophytes (H), and therophytes (Th). However, mesophanerophytes were absent from plots treated with herbicides and megaphanerophytes from those associated with D. adscendens. Chamaephytes contributed the least, proportionally, to the weed flora inventoried in plots associated with cover crops. Hydrophytes were predominant in the A. repens plots and geophytes in the D. adscendens plots. In the control experimental units, hemicryptophytes were dominant (Figure 3).

Table 4. Numbers and proportions of species from the weed families most commonly found in banana plantations, according to weed management treatments.

No

Families

Number of species

Proportion of species (%)

Weed management treatments

Weed management treatments

A. r

D. a

Hb

E. P

A. r

D. a

Hb

E. P

1

Poaceae

8 a

9 a

9 a

13

11.27 a

12.68 a

12.68 a

18.31

2

Cyperaceae

8 b

11 a

10 a

11

11.27 b

15.49 a

14.08 a

15.49

3

Asteraceae

4 b

5 ab

6 a

6

5.63 b

7.04 ab

8.45 a

8.45

4

Euphorbiaceae

3 b

3 b

5 a

7

4.22 b

4.22 b

7.04 a

9.85

5

Passifloraceae

3 a

2 a

2 a

3

4.22 a

2.82 a

2.82 a

4.22

6

Amaranthaceae

1 b

3 a

1 b

3

1.41 b

4.22 a

1.41 b

4.22

7

Fabaceae

2 a

2 a

1 a

3

2.82 a

2.82 a

1.41 a

4.22

8

Rubiaceae

2 a

2 a

3 a

3

2.82 a

2.82 a

4.22 a

4.22

A. r: Banana plantations associated with A. repens; D. a: Banana plantations associated with D. adscendens; Hb: Control banana plantations treated with herbicides; E. P: Entire experimental plot; For a family within the same variable, values followed by the same letter are not significantly different at the 5% level according to the Duncan test.

A: entire experimental site; B: control; C and D: plots associated with A. repens and D. adscendens, respectively. MP = Megaphanerophyte (tree over 30 m tall), mP = Mesophanerophyte (tree between 8 m and 30 m tall), mp = Microphanerophyte (shrub between 2 m and 8 m tall), np = Nanophanerophyte (shrub between 25 cm and 2 m tall), Ch = Chamaephyte (species whose perennial buds are located less than 25 cm above the ground), H = Hemikryptophyte (species whose buds are located on the ground or very close above it), G = Geophyte (species whose buds are hidden in the ground), Th = Therophyte (annual species that spends the unfavorable season in the form of dormant embryos, protected inside seeds); Hyd = Hydrophyte (species whose buds are located in water).

Figure 3. Biological spectra of weeds identified in banana plots.

5. Discussion

Floristic surveys carried out in banana plots identified 71 weed species, with little difference in specific and biological diversity between weed management treatments. This situation is thought to be due to the homogeneity of the experimental plot due to its small size (0.4 ha), as pointed out by Le Bourgeois [24] in cultivated environments. This observation may also be attributable to the type of soil, climatic conditions, technical itinerary, and previous crop, which were identical for the entire experimental plot [25] [26]. Indeed, the shade cast by banana trees on the soil in the established plots and the absence of tillage undoubtedly gave rise to weed flora distributed independently of the treatments tested. In addition, soil moisture availability was ensured throughout virtually the entire study period by heavy rainfall and regular irrigation, which may have reduced weed differentiation depending on the conditions [27]. The small plot size is a clear limitation of the study, as it may have contributed to the limited floristic differentiation between treatments. Larger, multisite, and multiseason trials would be necessary and are being considered to validate these findings under broader production conditions. However, the lower number of weed species observed in the A. repens plots shows that this cover crop controls some of these plants. According to De Raissac et al. [28] and Noba et al. [29], the introduction of one species into an environment could favor the presence or absence of another. Indeed, the rapid and uniform establishment of Arachis repens in banana plantations reinforces its role as a competitive ground cover, capable of limiting the resources available to weeds and reducing their proliferation by smothering or inhibiting germination [30]. An allelopathic effect of root exudates (benzoxazinoids, glucosinolates, flavonoids, phenolic acids, saponins), as evidenced in several Poaceae, Brassicaceae, and Leguminosae, could also be involved [2] [31]. The low frequency of weeds in plots associated with A. repens would obviously imply a significant reduction in the number of weeding operations and the time spent on these operations, improving overall plot management and the sustainability of the cropping system. The overall floristic composition observed is more diverse than that obtained in the work of Kouadio et al. [32], but less rich than the vegetation recorded in the studies of Kouadio et al. [33] carried out in banana plantations in Dabou, in southern Côte d’Ivoire. These differences can be explained by the size and number of observation squares and surveys carried out, as well as the type and length of the sampling period [34]. Dicotyls were in the majority, regardless of treatment. This finding has been reported in several previous studies, including those by Mangara et al. [35] and Faye et al. [36], who reported proportions of two-thirds dicotyledons. Poaceae, Cyperaceae, Euphorbiaceae, Passifloraceae, Asteraceae, Amaranthaceae, Fabaceae, and Rubiaceae were the most commonly observed families in all modalities. Most of these taxes have also been reported in several studies [37] [38] and are among the 10 families comprising the most species considered to be major weeds in cropping systems [39]. Poaceae was the most abundant family in all treatments, indicating a higher presence of grasses in banana cultivation plots. For Cyperaceae and Amaranthaceae, the low proportion under A. repens suggests that it exerts greater competitive pressure on this family. These results confirm the greater ability of A. repens to limit certain dominant weed families in industrial banana plantations. The high proportion of Asteraceae and Euphorbiaceae in the control plots implies that the absence of cover favors the establishment of these pioneer families, which are generally associated with disturbed environments. For the other families, the results reflect their lower sensitivity to the weed management practices tested in this study. Megaphanerophytes or mesophanerophytes were absent from the experimental conditions, which clearly reflects the predominance of herbaceous or liana species, as shown by Vroh et al. [40] in cultivated plots. The low dominance of chamephytes and the low proportions of therophytes, nanophanerophytes, and microphanerophytes in all treatments can be explained by the shade provided by banana trees, as these types of weeds are generally heliophilic [41]. Hydrophytes, which were predominant in the A. repens plots, are thought to be the result of the soil moisture clearly maintained by this cover plant due to its dense cover, which would have created a pedoclimate that is very important for these plants [42] [43]. From a practical standpoint, the use of Arachis repens as a cover crop could help banana farmers reduce herbicide applications, lower long-term weed-management costs, and improve ecological sustainability by limiting chemical inputs.

6. Conclusion

The weed study conducted in the various banana plots identified 71 weed species divided into 50 genera and 25 families, with slightly greater diversity in the Desmodium adscendens and control plots. However, the floristic composition is dominated by dicotyledons, while monocotyledons and pteridophytes occupy only a secondary place. In terms of biological types, geophytes were found to predominate in associations with D. adscendens, hydrophytes in associations with Arachis repens, and hemicryptophytes in the control plots. This study highlights the sensitivity of adventitious flora to cultivation practices. It confirms the regulatory role of the cover crop A. repens in the dynamics of weed proliferation in industrial banana plantations. Future studies should examine, in large banana plot size, the long-term effects of A. repens on banana yield, soil health, and pest dynamics to strengthen recommendations for large-scale implementation.

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

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