Modelling seed germination and seedling emergence of flax and sesame as affected by temperature, soil bulk density, and sowing depth

Soureshjani, Hedayatollah Karimzadeh; Bahador, Mahmoud; Tadayon, M. R.; Dehkordi, Ayoub Ghorbani

doi:10.1016/j.indcrop.2019.111770

Cited by 16 publications

(5 citation statements)

References 35 publications

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“…have not shown a significant effect of different soil compaction levels on seed germination [50]. Moreover, the germination analysis of linseed (Linum usitatissimum L.) revealed an optimal level of bulk density for this crop plant species [51]. Excessive bulk density and penetration resistance can also cause hindered root growth of seedlings due to increased substrate penetration resistance.…”

Section: Discussionmentioning

confidence: 99%

The Influence of Vibration and Moisture Content on the Compactness of the Substrate in Nursery Container Cells Determined with a Multipenetrometer

Kormanek,

Małek,

Banach

2023

Forests

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An important problem of container nurseries is ensuring equal and favorable growth conditions for cultivated plants. This can be achieved by ensuring the physical parameters of the substrate used to grow seedlings in individual cells of the container are similar. The nursery container is filled with a specially composed substrate through an automated line. Quickly controlling the parameters related to the quality of substrate filling presents a significant problem, as it requires the ongoing correction of the filling module settings (e.g., extending the vibration time or changing the vibration amplitude). To address this issue, it would be helpful to determine the compactness of the substrate, which can be easily measured using a penetrometer. This paper presents a prototype automated station, known as a multipenetrometer, designed for the simultaneous testing of compactness in 15 selected container cells. The prototype was put to the test at the Nursery Farm in Sukowo, where two types of polystyrene containers (V150—650/312/150 mm; 74 cells; and 0,148 cm3 cell volume and V300—650/312/180 mm; 53 cells; and 0.275 cm3 cell volume) were filled with peat–perlite substrate on the Urbinati Ypsilon automated line. This study investigated the influence of substrate moisture (two levels—70 and 75%) and vibration intensity (two levels—8 and 12 G) of the vibrating table on its compactness within the individual cells of the nursery container. The results indicated that with an increase in substrate moisture and vibration intensity, the compactness of the substrate increased, and the variation in compactness between individual cells decreased. Notably, the V300 containers, with a larger cell volume (265 cm3), experienced a higher level of change compared to the V150 containers (145 cm3). Despite the use of substrate compaction techniques based on the experience of line operators filling containers, the coefficient of variation between the compactness of the substrate in individual cells of the container remained at 30%. Based on the findings, it was confirmed that the optimal parameters for filling V150 and V300 containers with peat–perlite substrate on the Urbinati line, at a filling capacity of approximately 400 containers h−1, are a moisture content of around 75% and a maximum vibration intensity of 12 G.

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Section: Discussionmentioning

confidence: 99%

The Influence of Vibration and Moisture Content on the Compactness of the Substrate in Nursery Container Cells Determined with a Multipenetrometer

Kormanek,

Małek,

Banach

2023

Forests

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“…In addition to drought, excessive soil salinity poses another formidable obstacle to sesame production. While sesame is known for its tolerance to drought and heat, enabling it to grow in regions with unfavourable conditions, prolonged exposure to elevated salinity and temperature levels can still cause yield loss, affecting both the quantity and quality of sesame production [6].…”

Section: Introductionmentioning

confidence: 99%

“…It has been reported that sesame necessitates an optimal temperature range of 25-35 • C throughout its life cycle [2]. Exposure to temperatures exceeding 45 • C, particularly with hot winds, leads to a reduction in oil content [6]. Additionally, both temperatures surpassing 45 • C and falling below 15 • C result in a significant decrease in yield [11].…”

Section: Introductionmentioning

confidence: 99%

Sesame Germination Dynamics: Unravelling Sesame’s Response to Salinity and Temperature Variability

Gholamhoseini,

Dolatabadian

2024

Seeds

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Sesame (Sesamum indicum), a highly valued oilseed, faces challenges in cultivation, especially in regions susceptible to environmental stressors. This study investigates the interactive effects of salinity and temperature on sesame seed germination. Two cultivars, Darab 1 and Oltan, were subjected to various salinity levels (−3 to −12 bars) and temperatures (15 °C, 20 °C, and 25 °C). Results revealed that at 15 °C, salinity levels beyond -3 bars significantly reduced germination, while at 25 °C, 40% and 62% germination rates were recorded even at −12 bars for Darab 1 and Oltan, respectively. This study highlights the importance of temperature in mitigating the inhibitory effects of salinity on germination. Germination speed exhibited a decline with increasing salinity, particularly at lower temperatures. Shoot and root lengths and dry weights decreased with rising salinity, but Oltan demonstrated greater tolerance than Darab 1. The research emphasises the species-specific nature of temperature-salinity interactions and the intraspecific variability among sesame cultivars. Notably, Oltan, adapted to arid regions with elevated temperatures, displayed increased tolerance to salinity stress. These findings contribute to understanding sesame’s resilience to environmental stressors, aiding in developing resilient cultivars for challenging agricultural landscapes. Overall, temperature is pivotal in influencing sesame seed germination and early seedling growth under salinity stress, offering insights for optimised cultivation practices.

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“…The success of seed germination is one of the main economic and ecological solutions to preserve the medicinal plants such as Salvia limbata . However, the success of seed germination depends on a numerous ecological factors and stresses such as salinity stress [ 10 , 11 ], drought stress [ 12 , 13 ], temperature [ 14 , 15 ], and pH [ 11 , 12 ]. Salinity, as an abiotic ecological factor, limits crops production and the chance of seed germination [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…Quantitative knowledge of the salinity stress, drought stress, temperature and pH that influences Salvia limbata seed germination is scarce. Most of the researches have been focused on regression models in prediction of seed germination under temperature [ 12 , 20 , 24 , 25 ] and drought stresses [ 26 , 27 ]. In other researches thermal time models are common methods to determine the seed germination rate under ecological stresses [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

Seed germination prediction of Salvia limbata under ecological stresses in protected areas: an artificial intelligence modeling approach

Saffariha

Jahani²,

Potter

2020

BMC Ecol

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Background Salvia is a large, diverse, and polymorphous genus of the family Lamiaceae, comprising about 900 ornamentals, medicinal species with almost cosmopolitan distribution in the world. The success of Salvia limbata seed germination depends on a numerous ecological factors and stresses. We aimed to analyze Salvia limbata seed germination under four ecological stresses of salinity, drought, temperature and pH, with application of artificial intelligence modeling techniques such as MLR (Multiple Linear Regression), and MLP (Multi-Layer Perceptron). The S.limbata seeds germination was tested in different combinations of abiotic conditions. Five different temperatures of 10, 15, 20, 25 and 30 °C, seven drought treatments of 0, −2, −4, −6, −8, −10 and −12 bars, eight treatments of salinity containing 0, 50, 100.150, 200, 250, 300 and 350 mM of NaCl, and six pH treatments of 4, 5, 6, 7, 8 and 9 were tested. Indeed 228 combinations were tested to determine the percentage of germination for model development. Results Comparing to the MLR, the MLP model represents the significant value of R2 in training (0.95), validation (0.92) and test data sets (0.93). According to the results of sensitivity analysis, the values of drought, salinity, pH and temperature are respectively known as the most significant variables influencing S. limbata seed germination. Areas with high moisture content and low salinity in the soil have a high potential to seed germination of S. limbata. Also, the temperature of 18.3 °C and pH of 7.7 are proposed for achieving the maximum number of germinated S. limbata seeds. Conclusions Multilayer perceptron model helps managers to determine the success of S.limbata seed planting in agricultural or natural ecosystems. The designed graphical user interface is an environmental decision support system tool for agriculture or rangeland managers to predict the success of S.limbata seed germination (percentage) in different ecological constraints of lands.

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Modelling seed germination and seedling emergence of flax and sesame as affected by temperature, soil bulk density, and sowing depth

Cited by 16 publications

References 35 publications

The Influence of Vibration and Moisture Content on the Compactness of the Substrate in Nursery Container Cells Determined with a Multipenetrometer

The Influence of Vibration and Moisture Content on the Compactness of the Substrate in Nursery Container Cells Determined with a Multipenetrometer

Sesame Germination Dynamics: Unravelling Sesame’s Response to Salinity and Temperature Variability

Seed germination prediction of Salvia limbata under ecological stresses in protected areas: an artificial intelligence modeling approach

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