Influence of Different Environments on Germination Parameters and Seedling Morphology in Khaya senegalensis (Desr.) A. Juss (Meliaceae) ()
1. Introduction
Forests play an important role in maintaining plant genetic resources, soil conservation, watershed stability, etc. [1] - [7]. In Africa, forests occupy almost 650 million hectares and provide foreign exchange and ecosystem services that meet the needs of local populations [8] - [13]. However, anthropogenic activities of all kinds (extensive, itinerant and migratory agriculture, bush fires, anarchic exploitation of certain resources, animal raving, etc.) and a galloping population are exerting a strong, non-discreet and increasing pressure on forest ecosystems [14] [15].
In sub-Saharan Africa, many species are threatened with extinction in forests due to overexploitation. Approximately 55% of plant species, of which 10% have disappeared in the wild [16] [17] [18]. Thus, species whose economic and socio-cultural activity plays a key role in meeting human health needs are the most threatened [14] [19] [20] [21]. In West Africa, access, exploitation and sustainable management of plant resources are a major issue for rural populations [22]. Indeed, sustainable management of forest resources means the management and use of forests and wooded areas in such a way and at such an intensity that they maintain their biological diversity, productivity, regeneration capacity, vitality and ability to satisfy, now and in the future, relevant ecological, economic and social functions at local, national and global levels, and that they do not cause damage to other ecosystems [23]. Thus, controlling the regeneration of local woody species remains the keystone of sustainable strategic management of arid and semi-arid vegetation types in West Africa [24].
In Côte d’Ivoire, the loss of forest cover has led to severe climate change [25] [10]. To solve this problem, forest management structures are trying to fill this gap with fast-growing exotic species such as Tectona grandis instead of local species. This drama, which is upsetting the local ecological balance, has been pointed out by the rural population. The Ivorian state therefore demands and prioritises forest management and agroforestry with local indigenous species.
Khaya senegalensis, commonly known as caïlcédrat or Senegalese mahogany, is a tree of the Meliaceae family that can grow up to 35 m high with a very thick, scaly bark that ranges in colour from brownish to dark grey. Its trunk is very thick with a generally short and stocky appearance, up to 2 m in diameter, sometimes with a small serif at the base. Its leaves are arranged at the tips of the branches and form dense foliage [26] [27] [28] [29]. This species is native to the Sahelo-Sudanian and Sudanese zone of tropical Africa [26] [28] [30] [31] [32]. Khaya senegalensis is a species with multiple uses (pharmacopoeia, urban forestry, shade, firewood, timber, etc.) that is highly prized by rural populations [28] [29] [30] [32] [33] [34] [35] [36]. This species is subject to excessive and anarchic over-exploitation, exposing it to a loss of diversity that could eventually lead to its extinction [30] [37] [38].
In Côte d’Ivoire, the decline of Khaya sénégalensis stands is increasingly worrying. Its stands have become very rare in its area of distribution. Moreover, the effects of climate change do not favour the natural and rapid regeneration of this species. It is therefore necessary and urgent to develop artificial regeneration techniques in the current context of climate change in order to restore Khaya senegalensis populations on a large scale. The objective of this study is to assess the adaptation of Khaya senegalensis to different environments characterising the areas and ecosystems to be restored via germination and seedling vigour.
2. Material and Method
2.1. Plant Material
The plant material used is composed of seeds harvested from mature fruits of six (6) distinct mother plants, more than 550 m apart in a single stand of Khaya senegalensis and seedlings three (3) months old, from seeds harvested from under each mother plant. All seeds were collected from trees in good physiological condition and in good vigour at the experimental forest development station “Diabaté Kamonon” of the Centre National de Recherche Agronomique, in the Korhogo department of Côte d’Ivoire. The characteristics of the seed trees and the corresponding seeds are recorded in Table 1.
2.2. Methods
2.2.1. Study Sites
Testing was conducted from December 2018 to July 2019 at three (3) sites (Table 2). These sites are distinguished by their microclimate and are distributed in two (2) countries (Côte d’Ivoire “Korhogo: CNRA forest experimental
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Table 1. Characteristics of Khaya senegalensis seeds used.
DBH = Diameter to Chest Height in centimeters; H = Height in meters; W = West; N = North; Mini = Minimum in gram; Maxi = Maximum in gram.
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Table 2. Geographical location and characteristics of study sites [2] [39] - [49].
C˚ = Degrees Celsius; mm = millimeter; Substrate 1 = Iron, trace elements, perlite and coconut fibre; Neuhaus N2 Bio = vegetable co-composting, blond and black peat; Tref Rice CIRAD 2 = clay, volcanic sand, perlite no. 2, coconut, Irish white peat and fine blond peat.
station (DeFo) and Daloa: Jean Lorougnon Guédé University (UJLoG)” and in a controlled environment in France “Montpellier: CIRAD ‘Centre de Coopération International en Recherche Agronomique pour le Développement’ Greenhouse number 8 of the Lavalette campus”). The localization and characteristics of the study sites are recorded in Table 2.
2.2.2. Setting up the Tests
Seed harvesting
Mature fruit was harvested in December 2018, January 2019 and February 2019 from the mother plants with long wooden sticks with forks attached or by stoning the top of the tree with stones. Fruits and seeds were collected from under each tree, then the mature and dry fruits were peeled in order to extract the seeds. The seeds were divided into three (3) seed lots each destined for the sites described above for each seeder. A total of 2160 seeds were selected, including 120 seeds per seeder (6 seeders) for each study site (3: Korhogo, Daloa and Montpellier). So we have 120 seeds × 6 mother plants × 3 test sites = 2160 seeds collected from Khaya sénégalensis.
Test preparation and apparatus
Korhogo and Daloa Nursery
Polyethylene bags measuring 20 × 10 cm were filled with potting soil and arranged in one (1) block consisting of six (6) sub-blocks (Figure 1(b)). Each sub-block was labelled with the seeder’s serial number and geographic coordinates and was intended for seed harvested on and under one (1) seeder. Each sub-block contains 60 soil bags prepared to receive two (2) seeds each. The seeds from each seeder were soaked in water for one day (24 hours) to accelerate germination and then seeded directly to a depth of 1.5 cm (by directing the lower end into the soil and the upper or wide end towards the surface) into the bags at a rate of two (2) seeds per bag. The phytosanitary treatment consisted of treating the seeds with granulated FURADAN to control rodents and the pre-leaves with
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(a) ![]()
(b)
Figure 1. Image relating to the block system of trials set up in Montpellier greenhouse (a) and Daloa nursery (b).
DECIS to limit lava attacks. Nursery maintenance consisted of daily watering and manual weeding.
Greenhouse of the CIRAD of Montpellier
Polyester pots were filled with a mixture of potting compost of the above-mentioned composition. The pots were arranged in blocks and sub-blocks labelled in metal bins according to the same device used by Korhogo and Daloa (Figure 1(a)). The seed semi-piping was the same as at the other two sites. The phytosanitary treatment consisted of biological protection with BIOBEST against greenhouse whiteflies. Maintenance consisted of daily watering (10 cm3 per week).
2.2.3. Data Collection
Germination parameters
The Germination parameters evaluated concern 5 parameters, there are recorded in Table 3.
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Table 3. Germination parameters evaluated [24] [50] - [55].
Development parameters
The parameters evaluated are recorded in Table 4.
All morphological (development) parameters were measured using a ruler graduated in centimetres and an electronic caliper in millimetres on a total of 540 seedlings (30 individuals per mother plant and per study site = 30 × 6 × 3 = 540 seedlings).
2.2.4. Data Analysis
The statistical analyses were first performed using one-dimensional descriptive statistics, link analysis (linear regression, correlation and covariance) and multidimensional analysis (Principal Component Analysis “PCA”) with XLSTAT 2020 version 7.5. The difference between the germination and morphology parameters was performed using a two-factor multivariate analysis (MANOVA) with the SAS software version 9.4. The Student-Newman-Keuls test at the 5% threshold was used for post hoc comparisons.
3. Results
Germination of Khaya senegalensis is hypogeous with a long epicotyl reaching on average 6.33 cm long and 1.2 mm in average diameter at the collar (approximately 15 days after semi and five (5) days after the appearance of the coleoptile and radicle). The preleaves are almost blunt (absent or stunted petiole), opposite each other and generally identical in length and width. The coleoptile and radicle appear on average 10 days after semi. It is after the pre-leaves that phyllotaxis becomes alternate spiral. The seedling gradually develops simple leaves with longer and longer petioles until, at 11 weeks, the appearance of imperipinnate compound leaves which, over time, develop into paripinnate compound leaves.
3.1. Germination and Development Parameters by Study Site or Environment
3.1.1. Environment 1: Korhogo
Germination parameters
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Table 4. Development parameters evaluated.
In Korhogo the results showed that germination latency times were 21 days, 22 days, 22 days, 21 days and 21 days respectively for seed trees 1, 2, 3, 4, 5 and 6. Germination delay for seed trees 1, 2, 3, 4, 5 and 6 varied respectively from 21 to 37 days around a mean of 28.09 ± 4.09 days, from 22 to 47 days around a mean of 31.10 ± 6.53 days, from 22 to 49 days around a mean of 34, 03 ± 6.59 days, from 21 to 48 days around a mean of 33.51 ± 6.62 days, from 21 to 40 days around a mean of 29.62 ± 4.76 days and from 21 to 48 days around a mean of 34.09 ± 6.07 days. Germination speed were 29 days, 46 days, 38 days, 39 days, 38 days and 35 days respectively for seeders 1, 2, 3, 4, 5 and 6. Germination duration were 16 days, 24 days, 27 days, 27 days, 19 days and 27 days for seeders 1, 2, 3, 4, 5 and 6 respectively. Finally, germination rates of seeds from the Korhogo study site were 93.33%, 58%, 70%, 71.66%, 58.33% and 100% respectively for seed companies 1, 2, 3, 4, 5 and 6.
Development parameters
Comparison of the morphological characteristics of the seedlings from each seed company (Table 5) indicates a significant difference between seed company seedlings for each characteristic assessed (P < 0.05).
3.1.2. Environment 2: Daloa
Germination parameters
At Daloa, germination waiting times for seed trees 1, 2, 3, 4, 5 and 6 were 10 days, 18 days, 13 days, 15 days, 14 days and 16 days respectively. Germination delay ranged from 10 to 22 days around a mean of 17.13 ± 2.763 days, from 18 to 47 days around a mean of 30.2 ± 6.70 days, from 13 to 38 days around a mean of 26.26 ± 7.04 days, from 15 to 44 days around a mean of 25.1 ± 6.797 days, from 14 to 30 days around a mean of 19.5 ± 3.097 days and from 16 to 24 days around a mean of 20.3 ± 2.423 days for seeders 1, 2, 3, 4, 5 and 6 respectively. Germination speeds were 22 days, 47 days, 38 days, 38 days, 44 days, 30 days and 24 days for seeders 1, 2, 3, 4, 5 and 6 respectively. Germination duration were 12 days, 29
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Table 5. Influence of seed companies on seedling development characteristics in Korhogo.
For each character, values with the same letters are not statistically different at the 5% threshold.
days, 25 days, 25 days, 29 days, 16 days and 8 days respectively for seeders 1, 2, 3, 4, 5 and 6. Seed germination rates were 87%, 70%, 80%, 63.33%, 65% and 95% for seed companies 1, 2, 3, 4, 5 and 6 respectively.
Development parameters
At Daloa, comparison of seedling development characteristics (Table 6) indicates statistically significant variability among seedlings of seed companies for all characteristics assessed at Daloa (P < 0.05).
3.1.3. Environment 3: Montpellier (Greenhouse)
Germination parameters
In the CIRAD greenhouse at the Lavalette campus (controlled environment), results showed that germination latencies were 12 days, 12 days, 13 days, 16 days, 10 days and 13 days respectively for seeders 1, 2, 3, 4, 5 and 6. Germination delay for seed from seeders 1, 2, 3, 4, 5 and 6 varied respectively from 12 to 34 days around a mean of 16.25 ± 2.63 days, from 12 to 21 days around a mean of 16.315 ± 2.56 days, from 13 to 20 days around a mean of 16.238 ± 2.278 days, from 16 to 25 days around a mean of 19.655 ± 3.066 days, from 10 to 20 days around a mean of 16.526 ± 3.24 days, and from 13 to 21 days around a mean of 16.82 ± 2.52 days. Germination speeds were 34 days, 17 days, 14 days, 19 days, 16 days and 18 days respectively for seeders 1, 2, 3, 4, 5 and 6. Germination durations were 22 days, 9 days, 7 days, 7 days, 9 days, 10 days and 8 days for seeders 1, 2, 3, 4, 5 and 6 respectively. Germination rates were 50%, 88.33%, 100%, 96.66%, 98.33% and 100% for seeders 1, 2, 3, 4, 5 and 6 respectively.
Development parameters
Comparison of the morphological characteristics of seedlings from each seeder (Table 7) shows that the seedlings are all different from one seeder to another for each characteristic assessed at Montpellier (P < 0.05).
3.2. Synthesis of Germination and Development
3.2.1. Germination Parameters
Figure 2 provides an overview of all germination parameters observed at the
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Table 6. Influence of seeders on seedling development characteristics in Daloa.
For each character, values with the same letters are not statistically different at the 5% threshold.
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Table 7. Influence of seeders on the development characteristics of seedlings in Montpellier greenhouse.
For each character, values with the same letters are not statistically different at the 5% threshold.
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Figure 2. Comparison of each germination parameters for all 3 study sites.
three study sites. This figure indicates that overall, only the germination rate was higher in Montpellier glasshouse and that Korhogo recorded the highest values for the four (4) other germination parameters (waiting time, germination delay, germination speed and germination duration) observed.
Influence of seeders
The analysis of variance (Table 8) shows overall that the seed company does not influence seed germination parameters because all observed variables are statistically identical from one seed company to another (p > 0.05) for all three sites.
Influence of environments
The analysis of variance (Table 9) indicates a significant difference between study sites for the parameters waiting time, germination delay, germination speed and germination spread (P < 0.05). However, it indicates that the germination rate is statistically the same in all study sites (P > 0.05).
Table 10 shows in general for all study sites a strong positive correlation between
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Table 8. Influence of seeders on germination parameters of Khaya senegalensis.
For each character, values with the same letters are not statistically different at the 5% threshold.
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Table 9. Influence of environment on germination variable of Khaya senegalensis.
For each character, values with the same letters are not statistically different at the 5% threshold.
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Table 10. Correlation matrix (Pearson) of germination parameters for all study sites.
Values in bold are different from 0 at significance level alpha = 0.05.
germination speed and germination duration and between waiting time and germination delay. It indicates a positive correlation between waiting time and germination speed, germination delay and germination speed and germination duration. However the matrix shows a strong negative correlation between germination rate and germination speed then germination duration.
3.2.2. Development Parameters
Influence of seeders
The analysis of variance of the morphological characteristics of the seedlings from each seeder (Table 11) indicates a statistical similarity between the variables Height (HtPl), diameter at collar (Dcol), number of leaves (NbreFe) and internode lengths (LgEntr) of the seedlings (P > 0.05). However, the length (LgFe) and width (LaFe) of the leaves of the seedlings are all different between seedlings (P < 0.05).
Influence of environments
Overall, the results in Table 12 show that morphology parameters behave statistically differently from one environment to another (P < 0.05), except for leaf length and width, which are all the same regardless of the study site (P < 0.05).
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Table 11. Influence of seeders on morphological parameters of Khaya senegalensis seedlings.
HtPl: Height of the seedlings; Dcol: Diameter at the collar of the seedlings; NbreFe: Number of leaves; LgFe: Leaf length; LaFe: Leaf width; LgEntr: Length of internodes; cm: centimetres; mm: millimetres. For each character, values with the same letters are not statistically different at the 5% threshold.
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Table 12. Influence of environments on morphological parameters of Khaya senegalensis.
HtPl: Height of the seedlings; Dcol: Diameter at the collar of the seedlings; NbreFe: Number of leaves; LgFe: Leaf length; LaFe: Leaf width; LgEntr: Length of internodes; cm: centimetres; mm: millimetres. For each character, values with the same letters are not statistically different at the 5% threshold.
The covariance (Table 13) indicates in general for all seedlings from each seedling distributed over the 3 study sites, a strong correlation between height and diameter at the collar of the seedlings, then between height and number of leaves of the seedlings. This matrix also indicates a strong positive correlation between the crown diameter and the number of leaves of the seedlings.
Figure 3 shows the projection of environments and morphological parameters for all seedlings in PCA 1 - 2 (biplot). The analysis of the matrix of factor weights allowed the extraction of two components that explain 100% of the variability and are therefore very relevant in explaining the total variation between the morphological characteristics of the seedlings and the environments. Plan 1 - 2 is characterized by eigenvalues of 86.87% for axis F1 and 13.13% for axis F2. The different descriptors contributing to the formation of the first (F1) and second component (F2) show two groups. The first group consists of Montpellier (greenhouse) by higher heights, collar diameters, leaf counts, leaf widths and
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Table 13. Correlation matrix (Pearson) of morphological characteristics of seedlings for all study sites.
HtPl: Height of the seedlings; Dcol: Diameter at the collar of the seedlings; NbreFe: Number of leaves; LgFe: Leaf length; LaFe: Leaf width; LgEntr: Length of internodes; cm: centimetres; mm: millimetres. Values in bold are different from 0 at significance level alpha = 0.05.
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Figure 3. Projection of localities and morphological parameters observed in PCA Plan 1 - 2 as a function of axis type. HtPl: Height of the seedlings; Dcol: Diameter at the collar of the seedlings; NbreFe: Number of leaves; LgFe: Leaf length; LaFe: Leaf width; LgEntr: Length of internodes; cm: centimetres; mm: millimetres.
internode lengths of seedlings than Daloa and Korhogo. The second group consists of Daloa, which is characterized by higher seedling leaf widths.
4. Discussion
4.1. Germination Parameters
The results showed that the germination of Khaya senegalensis is hypogeous with almost stalkless pre-leaves. The seedling emits over time leaves with longer and longer petioles until it develops a compound leaf. Indeed at the very young stage (one week after germination), the plant still depends on the starch contained in the seed. The reserve contained in the embryo is used to emit opposite leaves without petiole at the beginning then some leaves (2 to 5 leaves) alternate spiral with increasingly long petioles. The seedling becomes independent following the disappearance of the embryo and the appearance of leaves composed imperipenate then later composed paripenate (authentic organogenesis of the species). The seedling expresses its normal development only after reaching the compound leaf stage. In fact, the cost of operating and building its normal structure is high and therefore requires continuous adaptation.
In Korhogo, the minimum latency was 21 days and was observed in seed trees 1, 4, 5 and 6; in Daloa the minimum latency was 10 days (seed tree 1), the maximum latency was 18 days (seed tree 2) and in a controlled environment (greenhouse) the minimum latency was also 10 days (seed tree 5) with a maximum of 16 days (seed tree 4). This minimum germination delay potential is not related to the type of seed tree since it differs from one seed tree to another for each study site. However, this difference in latency time between study sites could be related to soil richness and local climate type. Indeed in Korhogo the seeds were sown in a ferruginous soil subjected to a dry tropical climate unlike Daloa (ferralitic soil and humid tropical climate) and in Greenhouse (mixture of substrate rich in mineral elements with a very stable climate without fluctuation). However, some authors in Niger and in Burkina Faso obtained lower latency times (5 to 7 days) on the same soil type as Korhogo, but with 4 species of Combretaceae (Combretum glutinosum, Combretum micranthum, Combretum nigrians and Guiera senegalensis) [24] [56].
The results showed that the average minimum germination delay of seeds in Korhogo was 28.09 days (seeder 1), 17.13 days (seeder 1) in Daloa and 16.23 days (seeder 3) in a controlled environment just before seeder 1 (16.25 days). Overall, seeds sown in greenhouses have a reduced germination delay, unlike seeds sown in Korhogo. This is explained by the stable and constant temperature throughout the experiment (28˚C to 32˚C day and 22˚C to 24˚C night). The delays are longer in Korhogo because of the unstable and deregulated climate subject to temperature fluctuation observed in recent years [38]. Indeed a very high heat without regular water supply limits the delay and even damages the seeds. Authors have found the same case for germination of Faidherbia albida [57]. Indeed, several studies have shown the effect of the climate or climatic zone of origin, soil, mother trees and soil poverty on germination, growth and morphological development of seedlings [58] - [66]. Seedlings 1 seems to be characterized by a relatively short seedling delay regardless of the study site, probably due to its thin-shelled seeds facilitating emergence from the seed coat. Indeed, a rigid fruit shell would limit the capacity for rapid germination through pericarpic dormancy [67]. Studies have found pericarpal dormancy in Pterocarpus angolensis and Pterocarpus santalinus respectively [68] [69]. The minimum germination speed in Korhogo was 29 days (seeder 1), 22 days (seeder 1) in Daloa and 14 days (seeder 3) in Montpellier. Half of the seeds sown germinated faster in Daloa and Montpellier because of the relatively high and humid temperatures and the richness of the soil. Indeed, while light allows plants to develop (elaboration of structure), heat favours growth (dry matter gain) and thus rapid seed dormancy [70] [71]. The minimum period between the first germination and the last germination was 16 days in Korhogo (seeder 1), 8 days (seeder 6) in Daloa and 7 days (seeder 3) in a controlled environment. These germination times are short despite the fact that the seeds have not been treated beforehand as was the case with Pterocarpus erinaceus [54], Parkia biglobosa [72], Pistacia vera [73], Albizzia lebbek, Albizzia procera, Peltophorum pterocarpum and Acacia auriculiformis and Leucaena leucocephala [74]. As for the germination rate, it was higher with seeds from seed tree 6 (100%) and lower with seeds from seed tree 2 (58%) in Korhogo; in Daloa this rate was high for seed tree 6 (95%) and lower for seed tree 4 (63.33%) and in the greenhouse it was higher for seed trees 3 (100%) and 6 (100%) and lower for seed tree 1 (50%). Seeder 6 has a higher rate than the other 5 seeders across all study sites because of its visibly larger, uniform and heavier seeds. The seeds of the other seed companies have smaller and more varied seed sizes (mass, length, width and thickness). A germination test calibrating seed size is necessary to confirm this fact and to guide the choice of seed that can limit germination failure rates or even the choice of marketable seed. Overall, Korhogo environment recorded longer waiting times, delays and germination duration with slower germination speed than other study sites. This is related to the poor soil and climate of the area. High germination rates were recorded in the Montpellier greenhouse and it should be noted that 100% germination rates were obtained in Korhogo and Montpellier. In fact this species is native to the Guinean-Sudanian and Sudano-Sahelian savannah zone [33] [34] [37] [38] [75] and the climate of Korhogo and the greenhouse have the same environmental conditions as this zone (Guinean-Sudanian and Sudano-Sahelian). Authors had obtained similar germination rates in the same area with another species (Parkia biglobosa) originating from the same climate [76]. The analysis of variance showed that all seeds from the seed growers had almost the same germination behaviour from one site to another. This is clearly explained by the similarity of the intra variability in seed size from one seed company to another. However, Student’s test indicates that each site significantly influences all the observed parameters except germination rate, which statistically presents the same distributions from one site to another. This is similarly due to the environment (climates and soil type) to which the seeds are subjected for germination [58] - [66]. The correlation matrix generally indicates a strong positive relationship between latency and germination delay (r = 0.899) and germination speed (r = 0.622); meaning that the longer it takes for the first germination to occur, the slower the germination speed and the longer the germination delay. It also indicates a strong positive correlation between germination delay and germination speed (r = 0.787) then germination duration (r = 0.797); this indicates that the shorter the germination delay, the faster the germination speed and the shorter the germination period. This correlation matrix also indicates a strong positive correlation between germination speed and germination durée (r = 0.935), which means that the faster the germination speed, the shorter the germination spread. However, the same matrix shows a negative correlation between germination rate and germination speed (r = −0.747) and then germination duration (r = −0.634). This highlights the fact that the higher the germination rate, the slower the speed and the lower the spread of germination.
4.2. Development Parameters
The analysis of variance indicated a significant difference between study sites for the majority of morphological characteristics observed in the seedlings (P < 0.05). At Korhogo the mean height of the seedlings was 18.02 cm and the mean diameter at the collar of the seedlings was 2.35 mm. These values are lower than those obtained in the same environment (climate and soil type) in Niger with Guiera senegalensis (mean height 25.8 cm and mean diameter 3.22 mm) after 100 days [24] and in Côte d’Ivoire (Haut Bandama Reserve) in 3 months with Pterocapus erinaceus (mean height 40 cm and mean diameter 4.35 mm) [54]. In detail, the student test showed that morphological characters of seedlings differed from one locality to another except for leaf length and width (P > 0.05). However, when considering seedlings from one seeder to another for all 3 sites combined, this test indicated that leaf length and width differed statistically (P < 0.05). Indeed, seeds from each seedling were separated and repeated at each site, hence the no influence of the environment effect on certain development parameters; however, seeds have different characteristics from one seedling to another, which can lead to variations in seedling morphology from one seedling to another. In fact, depending on the environmental conditions of the environment (temperature, sunshine, hygrometry, soil, etc.), seedlings vary the morphology (length and width) of their leaves in order to adapt and better capture sunlight for efficient photosynthetic activation. Studies [58] - [66] have already shown the effect of climate, soil, mother trees and soil poverty on the germination, growth and morphological development of several plant species. The pearson matrix showed overall a strong positive correlation between seedling height and crown diameter (r = 0.796) and leaf count. This means that an increase in height leads to an increase in the diameter and number of leaves of the seedlings. It also indicates a strong correlation between crown diameter and leaf count (r = 0.876). This means that as the crown diameter increases, the number of leaves on the seedlings increases. The principal component analysis showed that the Montpellier glasshouse is related to the highest morphological characteristics. Indeed, a stable and controlled environment increases the height, diameter, number of leaves, length of leaves and internodes of the seedlings. Since the seedlings are in optimal conditions, organogenesis takes place without limiting factors.
5. Conclusion
This study carried out on germination and seedling development of Khaya senegalensis in different environments showed that the environment (climate and soil type) influences germination and seedling development in Khaya senegalensis (P < 0.05). However, the characteristics of the mother trees (seed source) sampled did not have a significant effect on germination and seedling development (P > 0.05). It appears from this study that the stable and controlled environment (greenhouse) and the environment characterized by a humid tropical climate are more favourable for artificial regeneration of stands in Khaya senegalensis. This savannah species is native to the arid zones of Africa, but this study highlighted its adaptive potential to changing and different climates. We conclude from this study that it is important to take into account the climatic characteristics of the environments to be restored. This study could be extended to other species for the sustainable management of disturbed areas and ecosystems.
Statement of Credit Author’s Contribution
Beda Innocent Adji: Conceptualization, Methodology, Supervision, Software, Formal Analysis, Resources, Data Retention. Sélastique Doffou Akaffou: Project Administration, Methodology, Resources, Data Retention, Supervision, Writing original project, Research and acquisition of funding. Yao Patrice Houphouet: Methodology. Kouadio Henri Kouassi: Project administration, Writing original project, Research and acquisition of funding. Jerôme Duminil: Project administration, Resources, Writing original project, Research and acquisition of financing. Sylvie Sabatier: Project Administration, Methodology, Resources, Data Retention, Supervision, Writing original project, Research and acquisition of funding.
Acknowledgements
This study was financed by the MESRS (Ministry of Higher Education and Scientific Research) of Côte d’Ivoire, the AFD (Agence Française de Développement) and the IRD (Institut de Recherche Pour le Développement) within the framework of PRESeD-CI 2 (Renewed Partnership for Research for Development in Côte d’Ivoire) and C2D (Debt Reduction Contract) of the AMRUGE-CI project (Support for the Modernization and Reform of Universities and Grandes Ecoles of Côte d’Ivoire). The authors are very grateful to the CIRAD (Centre de Coopération International de Recherche Agronomique pour le Développement) for providing a greenhouse (controlled environment) and the technical equipment necessary for the conduct of this study.