Key features of the seed germination response to high temperatures

Watt, Michael S.; Bloomberg, Mark

doi:10.1111/j.1469-8137.2012.04280.x

Cited by 30 publications

(13 citation statements)

References 23 publications

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“…for two cultivars of ryegrass (Zhang, McGill, Irving, Kemp, & Zhou, 2013). Moreover, a curvature of the T o -T c response, rather than a strict plateau at T o , was observed but not quantified in 28 crops/ weeds and two wild species (Watt & Bloomberg, 2012) and quantified over a 5°C range for tomato (Labouriau & Osborn, 1984). The remaining 30 cactus species (T o -singular) follow classical threshold modelling that typically describes a germination rate that is responsive to temperature change at T o (e.g.…”

Section: Germination Phenotype and The Environmentmentioning

confidence: 84%

“…Environmental temperature, taken as the mean temperature of the wettest quarter, was projected according to the RCP2.6 (+1.0°C) and RCP8.5 (+3.7°C) scenarios. Moreover, a curvature of the T o -T c response, rather than a strict plateau at T o , was observed but not quantified in 28 crops/ weeds and two wild species (Watt & Bloomberg, 2012) and quantified over a 5°C range for tomato (Labouriau & Osborn, 1984). Where the environmental temperature exceeds T o , a negative impact on germination rate is predicted.…”

Section: Discussionmentioning

confidence: 98%

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Thermal buffering capacity of the germination phenotype across the environmental envelope of the Cactaceae

Seal

Daws

Flores

et al. 2017

Global Change Biology

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Recruitment from seeds is among the most vulnerable stage for plants as global temperatures change. While germination is the means by which the vast majority of the world's flora regenerate naturally, a framework for accurately predicting which species are at greatest risk of germination failure during environmental perturbation is lacking. Taking a physiological approach, we assess how one family, the Cactaceae, may respond to global temperature change based on the thermal buffering capacity of the germination phenotype. We selected 55 cactus species from the Americas, all geo-referenced seed collections, reflecting the broad environmental envelope of the family across 70° of latitude and 3700 m of altitude. We then generated empirical data of the thermal germination response from which we estimated the minimum (T ), optimum (T ) and ceiling (T ) temperature for germination and the thermal time (θ ) for each species based on the linearity of germination rate with temperature. Species with the highest T and lowest T germinated fastest, and the interspecific sensitivity of the germination rate to temperature, as assessed through θ , varied tenfold. A left-skewed asymmetry in the germination rate with temperature was relatively common but the unimodal pattern typical of crop species failed for nearly half of the species due to insensitivity to temperature change at T . For 32 fully characterized species, seed thermal parameters correlated strongly with the mean temperature of the wettest quarter of the seed collection sites. By projecting the mean temperature of the wettest quarter under two climate change scenarios, we predict under the least conservative scenario (+3.7°C) that 25% of cactus species will have reduced germination performance, whilst the remainder will have an efficiency gain, by the end of the 21st century.

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Section: Germination Phenotype and The Environmentmentioning

confidence: 84%

Section: Discussionmentioning

confidence: 98%

Thermal buffering capacity of the germination phenotype across the environmental envelope of the Cactaceae

Seal

Daws

Flores

et al. 2017

Global Change Biology

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“…Note that this model explicitly includes the standard deviation of ψ b within the population ( σ ψ b ). The basic hydrotime model given by Eqn can be modified to accommodate the effects of both suboptimal and super‐optimal temperatures (Alvarado & Bradford, ; Rowse & Finch‐Savage, ; Watt & Bloomberg, ) and has also been extended to account for dormancy (Finch‐Savage & Leubner‐Metzger, ; Chantre et al ., ; Wang et al ., ). Furthermore, Watt et al .…”

Section: Introductionmentioning

confidence: 99%

Experimental design and parameter estimation for threshold models in seed germination

et al. 2014

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SummaryHydrotime threshold models are used to describe the dynamics of seed germination in response to reduced water availability. Although these models provide several biologically relevant parameters, it is unclear which statistical technique is best suited to their estimation. Most commonly, these models are fitted to the observed cumulative proportions of germinated seeds, using nonlinear regression. However, this approach has been questioned, due to its inability to account for some characteristics of data sets obtained from germination assays, such as interval censoring and correlated observations. We used Monte Carlo simulations to determine the bias and precision of nonlinear regression estimators for a wide range of experimental designs and hypothetical plant species. Results showed that point estimates of model parameters were almost unbiased, while standard errors obtained from nonlinear regression were on average 3-4 times smaller than the Monte Carlo precision. Standard errors obtained by nonparametric resampling methods were comparable to Monte Carlo precision and provided good coverage (very close to the nominal 95% value), with at least 4-8 treatments by four replicates and 50 seeds per Petri dish. With 10 seeds per Petri dish, a higher number of replicates were necessary to achieve good coverage. In particular, good results were obtained with the grouped jackknife (delete-a-Petri-dish), which accounts for repeated observations on the same Petri dish. It is suggested that nonlinear regression may be used to fit the hydrotime model, in association with resampling methods, particularly when the purpose is to compare 'hydrotime' parameters across treatments or plant species.

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“…Most of the available data were collected for mature plants, whereas the effects of simulated microgravity on seed germination and development of seedlings had been addressed to a much lesser extent. Thus, here we address the effect of 3Dclinorotation on seed germination as the stage of plant ontogenesis most sensitive to abiotic and biotic stressors (Kranner et al, 2010;Watt and Bloomberg, 2012;Nee, Xiang and Soppe, 2017). We consider here the simulated microgravity-related effects on the seed primary metabolome in parallel to the accompanying physiological and biochemical changes, and discuss it in the context of the alterations in the B. napus seed proteome, recently characterized in the same samples (Frolov et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

3D-clinorotation induces specific alterations in metabolite profiles of germinating Brassica napus L. seeds

Chantseva

Bilova

Smolikova

et al. 2019

BioComm

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During the whole history of their life on Earth, higher plants evolved under the constant gravity stimulus. Therefore, plants developed efficient mechanisms of gravity perception, underlying their ability to adjust the direction of growth to the gravity vector, i. e. the phenomenon of gravitropism. In this context, alterations in the magnitude and vector of the gravity field might compromise plant growth and development. This aspect was successfully addressed in gravity fields of low intensity (microgravity). On the other hand, microgravity can be simulated on the Earth by clinorotation, i. e. rotation of the experimental plant along one or several axes. This approach is routinely used for studies of gravityrelated responses of crop plants, although the effect of simulated microgravity on the most sensitive ontogenetic stages-germination and seedling development-is still not sufficiently characterized. Recently, we addressed the effects of clinorotation on the proteome of germinating oilseed rape (Brassica napus) seeds. Here we extend this study to the seedling primary metabolome and address its changes in the presence of 3D-clinorotation. GC-MS analysis revealed essential alterations in patterns of sugars and sugar phosphates (specifically glucose-6-phosphate), methionine and glycerol. Thereby, abundances of individual metabolites showed high dispersion, indicating high lability and plasticity of the seedling metabolome.

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Key features of the seed germination response to high temperatures

Cited by 30 publications

References 23 publications

Thermal buffering capacity of the germination phenotype across the environmental envelope of the Cactaceae

Thermal buffering capacity of the germination phenotype across the environmental envelope of the Cactaceae

Experimental design and parameter estimation for threshold models in seed germination

3D-clinorotation induces specific alterations in metabolite profiles of germinating Brassica napus L. seeds

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