Determination of germination cardinal temperatures in two basil (Ocimum basilicum L.) cultivars using non-linear regression models

Fallahi, Hamid-Reza; Mohammadi, Monavareh; Aghhavani-Shajari, Mahsa; Ranjbar, Fatemeh

doi:10.1016/j.jarmap.2015.09.004

Cited by 26 publications

(11 citation statements)

References 16 publications

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“…The study of thermal requirements is important because temperature determines the metabolism for plant development and has significant effects on the initiation, percentage, and rate of germination [48]. This is the first time that to our knowledge the thermal time has been reported for S. macrophylla.…”

Section: Thermal Timementioning

confidence: 90%

Thermal Niche for Seed Germination and Species Distribution Modelling of Swietenia macrophylla King (Mahogany) under Climate Change Scenarios

Sampayo-Maldonado

Ordoñez‐Salanueva

Mattana

et al. 2021

Plants

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Swietenia macrophylla is an economically important tree species propagated by seeds that lose their viability in a short time, making seed germination a key stage for the species recruitment. The objective of this study was to determine the cardinal temperatures and thermal time for seed germination of S. macrophylla; and its potential distribution under different climate change scenarios. Seeds were placed in germination chambers at constant temperatures from 5 to 45 °C and their thermal responses modelled using a thermal time approach. In addition, the potential biogeographic distribution was projected according to the Community Climate System Model version 4 (CCSM4). Germination rate reached its maximum at 37.3 ± 1.3 °C (To); seed germination decreased to near zero at 52.7 ± 2.2 °C (ceiling temperature, Tc) and at 12.8 ± 2.4 °C (base temperature, Tb). The suboptimal thermal time θ150 needed for 50% germination was ca. 190 °Cd, which in the current scenario is accumulated in 20 days. The CCSM4 model estimates an increase of the potential distribution of the species of 12.3 to 18.3% compared to the current scenario. The temperature had an important effect on the physiological processes of the seeds. With the increase in temperature, the thermal needs for germination are completed in less time, so the species will not be affected in its distribution. Although the distribution of the species may not be affected, it is crucial to generate sustainable management strategies to ensure its long-term conservation.

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Section: Thermal Timementioning

confidence: 90%

Thermal Niche for Seed Germination and Species Distribution Modelling of Swietenia macrophylla King (Mahogany) under Climate Change Scenarios

Sampayo-Maldonado

Ordoñez‐Salanueva

Mattana

et al. 2021

Plants

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“…This behavior is owed to the environmental conditions undergone by the mother plant during seed maturation and those undergone by the seeds after settling [3]. The germination percentage usually increases linearly with temperature up to an optimal temperature, after which the germination percentage decreases sharply [4][5][6]. Increased temperatures not only affect seedling growth after seed germination, but also directly affect the germination process.…”

mentioning

confidence: 99%

Effect of Temperature, Light, and Storage Time on the Seed Germination of Pinus bungeana Zucc. ex Endl.: The Role of Seed-Covering Layers and Abscisic Acid Changes

Guo

Shen

Shi

2020

Forests

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Pinus bungeana Zucc. ex Endl. is an endemic conifer tree species in China with high ornamental value. In order to investigate favorable conditions for seed germination and explore the germination inhibition mechanism of this species at high temperatures, the effects of temperature, light, and storage on the mean germination time (MGT), speed of germination (SG), and total germination percentage (TGP) are evaluated here. Seeds that have either been kept still or entered into a state of dormancy at high temperature are assessed here by a recovery experiment. Furthermore, the contribution of covering layers on thermo-inhibition is analyzed here, including the way they work. This has been realized by the structural observation and via the determination of the abscisic acid (ABA) content. The results show that seeds germinate to a high percentage (approximately 90%) at temperatures of 15 or 20 • C, with or without light, whereas higher temperatures of 25 or 30 • C impeded radicle protrusion and resulted in the germination percentage decreasing sharply (within 5%). Inhibition at high temperatures was thoroughly reversed (bringing about approximately 80% germination) by placing the ungerminated seeds in favorable temperatures and incubating them for an additional 30 days. Dry cold storage did little to reduce the temperature request for germination. Embryo coverings, especially the nucellar membrane, and ABA levels both had a dominant role in seed germination regulation in response to temperature. Under favorable temperature conditions, the levels of ABA significantly decreased. Germination occurred when the levels dropped to a threshold of 15 ng/g (FW (Fresh Weight)). Incubation at a high temperature (25 • C) greatly increased ABA levels and caused the inhibition of radicle protrusion.Temperature is one of the primary factors affecting the percentage and speed of germination, which directly works via seed imbibition and the biochemical reactions that regulate the metabolism involved in the germination process [2]. Further, most species require an appropriate temperature range or alternate temperature mode to achieve maximum germination. In weeds, the germination behavior of seeds is also related to the time of seed produced and the moment elapsed from the seed settling. This behavior is owed to the environmental conditions undergone by the mother plant during seed maturation and those undergone by the seeds after settling [3]. The germination percentage usually increases linearly with temperature up to an optimal temperature, after which the germination percentage decreases sharply [4][5][6]. Increased temperatures not only affect seedling growth after seed germination, but also directly affect the germination process. To prevent seedlings from being damaged after germination, physiological reactions may occur in seeds to cope with the high-temperature environment in which they are placed. This ecological requirement can be considered as an adaptation strategy to guarantee favorable conditions for seedling development ...

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“…The ANN modeling approach that we applied in this research not only inherited the advantages of previous models (e.g. 24,20,25,12,56), but also included new artificial intelligence technique and some additional features as discussed below.…”

Section: Discussionmentioning

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%

“…Temperature, with affecting the enzymatic activity, highly influences seed germination and determine the periodicity of seed germination [18,19]. Researchers [18,20,21] believe that germination rate increases when temperature meets an optimal level, and then it declines sharply. Other factors such as drought and pH also affect seed germination in many species [22,23].…”

mentioning

confidence: 99%

See 1 more Smart Citation

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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Determination of germination cardinal temperatures in two basil (Ocimum basilicum L.) cultivars using non-linear regression models

Cited by 26 publications

References 16 publications

Thermal Niche for Seed Germination and Species Distribution Modelling of Swietenia macrophylla King (Mahogany) under Climate Change Scenarios

Thermal Niche for Seed Germination and Species Distribution Modelling of Swietenia macrophylla King (Mahogany) under Climate Change Scenarios

Effect of Temperature, Light, and Storage Time on the Seed Germination of Pinus bungeana Zucc. ex Endl.: The Role of Seed-Covering Layers and Abscisic Acid Changes

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

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