Research Article |
Corresponding author: Taoufik Ksiksi ( tksiksi@uaeu.ac.ae ) Academic editor: Robert Gabriel
© 2024 Nour El Houda Debouza, Sunil Mundra, Iltaf Shah, Taoufik Ksiksi.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Debouza NEH, Mundra S, Shah I, Ksiksi T (2024) Mechanical scarification: The key to optimal germination parameters in nine flowering species of the United Arab Emirates. Innovations in Agriculture 7: 1-10. https://doi.org/10.3897/ia.2024.124153
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Seed germination is the most essential stage of the plant life. Prior to germination, seed dormancy provides protection to the seed against germinating under unfavorable conditions. The seeds of many plants in arid regions are particularly characterized by having a hard seed coat. Seed dormancy is essential to the survival of plants, however in some incidents such as reforestation on desert areas, it is important for ecologists to investigate methods of breaking the dormancy of seeds in order to maximize the production of plants. In this study, we tested four methods of seed pre-treatment (Mechanical scarification (MChip), chemical scarification with sulfuric acid at two exposure durations (SAcid15, SAcid30), and soaking in water for 24 h (Soak)) on 9 flowering plants (Senna italica, Sorghum sudanense, Tephrosia nubica, Senna angustifolia, Acacia tortilis, Senna occidentalis, Abutilon pannosum, Prosopis cineraria, Crotalaria persica) of the UAE. Six germination parameters (Final germination percentage (G) %, Mean germination time (MGT) day, Mean germination rate (MGR) day, Coefficient of velocity of germination (CVG) %, Mean Daily Germination Percentage (MDG) %, and Germination index (GI) day) were calculated to assess the germination. Final Germination Percentage (G) significantly improved (P < 0.005) in seven species (100% in S. italica, 98% in S. sudanense, 97% in T. nubica, 99% in S. angustifolia, 98% in A. tortilis, 99% in P. cineraria, and 93% in C. persica) with Mchip and SAcid30 (1.124% in S. italica, 28% in S. sudanense, 3% in T. nubica,82% in S. angustifolia, 96% in A. tortilis, 99% in P. cineraria, and 25% in C. persica), three species (1.562% in S. italica, 28% in S. sudanense, 3% in T. nubica, 62% in S. angustifolia, and 62% in P. cineraria) with (SAcid15), and only two species (3% in T. nubica and 5% in A. tortilis) with Soak. S. occidentalis was the only species that did not show significant changes in germination parameters after each treatment. Mechanical scarification is the safest and most affective pretreatment method according to our findings.
Seed germination, germination parameters, mechanical scarification, chemical scarification, UAE, native plants
The first stage of plant growth is germination, and it is one of the most sensitive phases for the formation of all plants (
In this research, a collection of 9 flowering species (Senna italica, Sorghum sudanense, Tephrosia nubica, Senna angustifolia, Acacia tortilis, Senna occidentalis, Abutilon pannosum, Prosopis cineraria, Crotalaria persica) from different plant families in the UAE were selected to test four pretreatment methods on six germination parameters: Final germination percentage (G) , Mean germination time (MGT) , Mean germination rate (MGR) , Coefficient of velocity of germination (CVG), Mean Daily Germination Percentage (MDG), and Germination index (GI). The overall goal is to establish the most effective pretreatment method for each of the species, providing a solid method for breaking the dormancy of the seeds and achieving the highest levels of germination parameters, and ultimately higher germination and seedling growth and survival rate.
Senna italica, also known as Italian senna, is a leguminous plant that is native to the Mediterranean region and is widely distributed throughout North Africa, the Middle East, and parts of Asia (
Sorghum sudanense, also known as Sudan grass or Sorghum sudan grass, is an annual grass species that is commonly grown for forage. It is rich and fiber and contains high protein levels which makes it a favorable source of nutrition for livestock (Ananda et al. 2023). It is a hybrid between Sorghum bicolor and Sorghum arundinaceum and is known for its high yield and fast growth. S. sudanense has the ability to grow in a wide range of soils and it relatively drought tolerant, making it a standard option for farmers particularly in dry and arid regions (
Tephrosia nubica is a leguminous shrub species grows up to 2 meters tall and has a wide range of uses in agriculture, environmental conservation, and traditional medicine. The plant is known by its dark green leaves and purple flowers that bloom after periods of rainfall (
Senna angustifolia is a perennial shrub that grows up to 1 meter tall and is native to India, Pakistan, United Arab Emirates, and Sudan (
Acacia tortilis, or Umbrella Thorn Acacia, is a tree species that is native to The Middle East and Africa (
Senna occidentalis, also known as Negro coffee or coffee senna, is a shrub species that is native to tropical regions of Africa, Asia, and the Americas (
Abutilon pannosum, or velvetleaf abutilon, is a perennial shrub species that is native to Asia and South America. It is recognized by its soft, velvety leaves and bright yellow flowers that bloom during the year (
Prosopis cineraria, also known locally in the UAE as the “Ghaf” tree, is a species of small, thorny tree native to arid regions of the Indian subcontinent and the Middle East (
Crotalaria persica, also known as Persian crotalaria, is a shrub that is native to Asia and some parts of the Middle East. It is known by its green, spear-shaped leaves and yellow flowers that flourish in the summer (
Overall, all 9 species (Fig.
All species were collected from different locations in Al-Ain City (Fig.
Each preliminary treatment was carried out as a distinct experiment, involving a total of 20 seeds for each of the specific four pre-treatments. These seeds were cleaned with a 15-minute soak in 5% bleach solution, then placed in 9 cm petri dishes with one layer of filter paper at the bottom. Each pre-treatment was repeated five times (total of 100 seeds per species per treatment). During the 14-day germination trial, the seeds were monitored for germination and sprayed with distilled water as necessary. All the petri dishes were maintained in an incubator set at a temperature of 24°C with continuous darkness. Germination progress was recorded every afternoon at 3 pm, and the germinated seeds were discarded from the petri dishes after counting. On the 9th day, any remaining seeds were cleansed again with the 5% bleach solution, and the filter papers were replaced to prevent bacterial and fungal growth.
The pretreatments that were examined included manually chipping with nail clippers across the seed (Mchip), soaking in tap water for 24 hours (Soak), and exposure to sulfuric acid (96% H2SO4) for two durations of 15 and 30 minutes (SAcid15, SAcid30). All these groups were compared against a controlled treatment (Control), which included the disinfecting step of the seeds only.
Six germination parameters were assessed according to the formulas listed by
Six germination parameters assessed according to the formulas listed by
Parameter | Equation |
---|---|
Final Germination Percentage (G) | |
Mean Germination Time (MGT) | ; where F is the number of seeds germinated on day x |
Mean Germination Rate (MGR) | ; where T is mean germination time and CV: coefficient of velocity. |
Coefficient of Velocity of Germination (CVG) | N1+N2….Ni/100 × N1T1+….NiTi ; where N is the number of seeds germinated every day and T is the number of days from seeding corresponding to N |
Daily Germination Percentage (MDG) | = percentage of full seed at the end of test divided by the number of days to the end of the test |
Germination Index (GI) | (20×N1) +(19×N2)+….+(1×N20); where N1,N2….N20 is the number of germinated seeds in the first, second and subsequent days until 20th day and the multipliers (e.g. 20,19…etc.) are weights given to the days of the germination. |
One-way ANOVA was used to compare the means of each treatment per species. For all comparisons, Dunnett’s method was used for P-value adjustments. All statistical analysis and graphs were generated using different packages available in RStudio software (Version: 2023.09.1+494.)
The mean values of six germination parameters for nine flowering species are illustrated in Figs
Fig.
Final Germination Percentage (G) mean values for the nine flowering species, as affected by 5 treatments (Control, Mechanical chipping (Mchip), 24 h soaking (Soak), Sulfuric Acid exposure for 15 minutes (SAcid15), and 30 minutes (SAcid30). The scatter plots represent the Mean values for each replica.
For Mean Germination Rate (MGR), as illustrated in Fig.
Mean Germination Rate (MGR) mean values for the nine flowering species, as affected by 5 treatments (Control, Mechanical chipping (Mchip), 24 h soaking (Soak), Sulfuric Acid exposure for 15 minutes (SAcid15), and 30 minutes (SAcid30). The scatter plots represent the Mean values for each replica.
Fig.
Mean Germination Time (MGT) mean values for the nine flowering species, as affected by 5 treatments (Control, Mechanical chipping (Mchip), 24 h soaking (Soak), Sulfuric Acid exposure for 15 minutes (SAcid15), and 30 minutes (SAcid30). The scatter plots represent the Mean values for each replica.
Coefficient of Velocity of Germination (CVG), displayed in Fig.
Coefficient of Velocity of Germination (CVG) mean values for the nine flowering species, as affected by 5 treatments (Control, Mechanical chipping (Mchip), 24 h soaking (Soak), Sulfuric Acid exposure for 15 minutes (SAcid15), and 30 minutes (SAcid30). The scatter plots represent the Mean values for each replica.
In Fig.
Mean Daily Germination Percentage (MDG) mean values for the nine flowering species, as affected by 5 treatments (Control, Mechanical chipping (Mchip), 24 h soaking (Soak), Sulfuric Acid exposure for 15 minutes (SAcid15), and 30 minutes (SAcid30). The scatter plots represent the Mean values for each replica.
Lastly, Germination Index (GI), shown in Fig.
Germination Index (GI) mean values for the nine flowering species, as affected by 5 treatments (Control, Mechanical chipping (Mchip), 24 h soaking (Soak), Sulfuric Acid exposure for 15 minutes (SAcid15), and 30 minutes (SAcid30). The scatter plots represent the Mean values for each replica.
Overall, each species established an improvement in at least one germination parameter with the use of all pretreatment methods. Notably, S. occidentalis was the only species that did not show significant changes in germination parameters after each treatment.
In this research study, our primary objective was to identify the most effective pretreatment method for optimizing the germination of nine native flowering species in the arid conditions of the UAE. These species are characterized by strong seed coatings, an adaptation to survive in challenging environmental conditions that inhibit the introduction of germination. Our research addresses a critical need for understanding dormancy-breaking methods, offering implications for agricultural and reforestation strategies and contributing to the conservation of native species to lessen the risk of extinction.
Scarification and soaking, broadly recognized in the literature, regularly establish operational rates of improved germination and are particularly relevant to the conditions prevalent in the UAE.
We demonstrated a comprehensive collection of germination parameters, each providing distinct insights into various aspects of the germination process. Final Germination Percentage offered a complete assessment of overall success, while Mean Germination Time and Mean Germination Rate added insights into the timing and speed of germination, respectively. The Coefficient of Velocity of Germination helped to provide a detailed analysis of germination timing, while Germination Rate Index and Germination Index served as complete measures reflecting both uniformity and speed of germination.
Our methodology involved the application of these parameters to gain an understanding of the germination process under four distinct pretreatment methods. Mechanical scarification (Mchip) and Sulfuric Acid are particularly effective, enhancing at least one germination parameter in all species except S. occidentalis. Sulfuric Acid (Acid15) demonstrated effectiveness in improving at least one germination parameter in six species: S. italica, T. nubica, S. angustifolia, A. tortilis, A. pannosum, and P. cineraria. Soaking in room temperature water for 24 hours (Soak) proved valuable in improving at least one germination parameter in five species, including S. italica, T. nubica, S. angustifolia, A. tortilis, and A. pannosum.
While mechanical scarification is time consuming, our findings place it as the safest and most effective pretreatment method, given its simplicity and accessibility. This method demonstrated positive outcomes for eight out of the nine species studied. Sulfuric acid is the second most effective pretreatment method, mainly beneficial when a large quantity of seeds is required simultaneously. Although soaking displayed the lowest rate of germination improvement, its application could be considered for species showing significant differences in response.
In conclusion, our study provides valuable insights into the efficacy of various pretreatment methods, with the optimal choice dependent upon the specific species, available resources, and time restraints. This understanding contributes to the broader field of plant germination strategies, offering practical guidance for sustainable agriculture, reforestation, and biodiversity conservation efforts. The implications of our findings extend to both academic and practical domains, enhancing our understanding of plant physiology and facilitating informed decision-making in applied settings.
Taoufik Ksiksi created the experimental design. Nour Debouza was responsible for seed collection, lab preparation for the experiments, generating graphs, and writing the initial draft of the manuscript. Sunil Mundra and Iltaf Shah helped with statistical analysis and editing.