Modelling temperature, photoperiod and vernalization responses of Brunonia australis (Goodeniaceae) and Calandrinia sp. (Portulacaceae) to predict flowering time

Cave, Robyn; Hammer, Graeme; McLean, Greg; Birch, CJ; Erwin, John E.; Johnston, Margaret

doi:10.1093/aob/mct028

Cited by 12 publications

(9 citation statements)

References 39 publications

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“…3), a curvilinear temperature function, which has been used previously to quantify developmental responses to temperature (Cave et al, 2013), was fitted to the data: 1), because the response of germination to temperature showed a clear peak (Fig.…”

Section: Observations and Statistical Analysesmentioning

confidence: 99%

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Genotypic Differences in Effects of Short Episodes of High‐Temperature Stress during Reproductive Development in Sorghum

et al. 2016

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Recent studies on sorghum [Sorghum bicolor (L) Moench] showed that episodes of high‐temperature stress around anthesis could adversely affect grain yield via effects on pollen germination with varying responses among genotypes. The objectives of this study were to determine the reproductive development phase most sensitive to heat stress and to determine whether genotypic differences in high‐temperature tolerance were associated with differences in either cardinal temperatures for pollen germination, the duration of the period of sensitivity to high temperatures, or the extent of the response to high temperature per se. To determine cardinal temperatures, pollen from six genotypes, differing in high‐temperature tolerance, was incubated on a gradient plate at temperatures between 10 and 40°C. To identify the critical period of high temperature sensitivity, plants of two genotypes with contrasting high‐temperature tolerance were grown under optimum (31 vs. 21°C) and high (38 vs. 21°C) day vs. night temperatures, with selected plants reciprocally transferred between the two temperatures for 5‐d periods from just before flag leaf full expansion until 20 d thereafter. Pollen germination, seed set, and grain yield were most sensitive to high temperatures immediately around anthesis. Effects on seed mass were smaller and independent of seed set. Genotypes differed in the magnitude of the response to high temperatures, rather than in the duration of the critical period, and the adverse effect of high temperatures increased with duration of exposure during this critical period. These differences were not associated with cardinal temperatures for pollen germination. These results could assist in identifying selection targets for crop improvement programs.

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Section: Observations and Statistical Analysesmentioning

confidence: 99%

“…1), because the response of germination to temperature showed a clear peak ( Fig. 3), a curvilinear temperature function, which has been used previously to quantify developmental responses to temperature (Cave et al, 2013), was fitted to the data:…”

Section: Observations and Statistical Analysesmentioning

confidence: 99%

Genotypic Differences in Effects of Short Episodes of High‐Temperature Stress during Reproductive Development in Sorghum

et al. 2016

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“…In the future climate scenarios used in this study, the minimum air temperature is quite high, mainly in the western region of the state to harvest spikes for Mother's Day ( Figure 7H) when air temperature exceeded the optimal temperature for gladiola mainly in the scenario RCP8.5. When temperature exceeds the optimum level, the developmental rate decreases Cave et al, 2013;Uhlmann et al, 2017), resulting in a longer developmental cycle (Schwab et al, 2015). In the western region of the state, negative anomalies of optimum planting date (earlier planting date) to harvest for Mother's Day ( Figures 5C, 5F, 5I, 5L) can be explained by a greater frequency in above optimum temperatures for development, mainly in RCP8.5 scenario ( Figures 7H and 8H).…”

Section: Simulations Of Optimum Planting Datementioning

confidence: 97%

“…F. (Pramuk and Runkle, 2005), Brunonia australis and Calandrinia sp. (Cave et al, 2013), Salvia splendens and Tagetes patula (Moccaldi and Runkle, 2007), Chysanthemum morifolium (Larsen and Persson, 1999), 18 species of annual bedding plants , and Petunia × hybrida ) present a similar response to rising temperature; however, their response was not evaluated in the scenarios of climate change.…”

Section: Simulations Of Optimum Planting Datementioning

confidence: 99%

Assessing climate change effects on gladiola in Southern Brazil

Becker

Streck

Uhlmann

et al. 2021

Sci. agric. (Piracicaba, Braz.)

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Gladiola (Gladiolus × grandiflorus Hort.) is an important cut flower for small farmers in Brazil. While the El Niño Southern Oscillation, which causes interannual variability to air temperature in Southern Brazil, can shift the optimum planting window of gladiola, an increase in temperature due to climate change can accelerate gladiola flowering and cause injuries by heat. The objective of this study was to assess the potential climate change effects on gladiola optimum planting date for specific market dates and investigate injuries occurrence on spikes in the Rio Grande do Sul State, Brazil. Field experiments were conducted from 2016 to 2018 at four different locations across the Rio Grande do Sul State to evaluate the performance of the PhenoGlad model in simulating the developmental stages of gladiola. The PhenoGlad model was run on climate scenarios of the Coupled Model Intercomparison Project Phase 5 (CMIP5) named RCP2.6, RCP4.5 and RCP8.5 scenarios. The climate change scenarios caused a delay in the optimum planting date to harvest gladiola for All Souls' Day across the Rio Grande do Sul State. For harvesting spikes for Mother's Day, negative anomalies (earliest planting date) occurred in the warmest regions, because the very high temperature extended the crop development. Injuries by heat on spikes reached positive anomalies in 70 % of the years in the warmest regions for scenario RCP8.5. To harvest spikes for Mother's Day, heat injury did not exceed 20 % of the years. Mitigation strategies for farmers to deal with climate change and keep their gladiola production include adjusting the optimum planting date.

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“…Crop simulation models are important tools for assisting farmers in planning their planting schedule and for improving crop management practices (Anapalli et al, 2005;Soler et al, 2008;Andarzian et al, 2015), for yield forecasting (Silva et al, 2016) and for predicting flowering time (Chen et al, 2010;Blanchard et al, 2011;Cave et al, 2013;Vaid and Runkle, 2013). Recently, a phenological model, named PhenoGlad, was proposed for gladiola (Uhlmann et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation

Becker

Streck

Uhlmann

et al. 2020

Sci. agric. (Piracicaba, Braz.)

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Gladiola is an important cut flower worldwide and scheduling field gladiola production is largely dependent on planting at the correct time since its development is controlled by the air temperature. The aim of this study was to configure a planting window of gladiola in order to harvest spikes to be sold on All Souls' Day and Mother's Day holidays in the state of Rio Grande do Sul, Brazil, taking into account the El Niño Southern Oscillation (ENSO) phases. The Pheno-Glad model, a dynamic process-based simulation model that simulates gladiola phenology on a daily time step was used in this study. Daily minimum and maximum temperatures over 55 years from 18 weather stations across Rio Grande do Sul state, Brazil, were used as input data in the PhenoGlad model. The optimum planting window was simulated for each maturity group, location and ENSO phase. For harvesting on All Souls' Day, the optimum planting window had greater variation among the different ENSO phases. For Mother's Day, only Very Strong El Niño events affected the development of gladiola, indicating the weak signal of the phenomenon at this time of the year. A case study in a commercial farm demonstrated the importance of these results for farmers. The planting window for production on Mother's Day in a Neutral year was successfully configured. Determining the optimum planting window by considering the ENSO effect led to a more precise scheduling of gladiola production in southern Brazil.

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Modelling temperature, photoperiod and vernalization responses of Brunonia australis (Goodeniaceae) and Calandrinia sp. (Portulacaceae) to predict flowering time

Cited by 12 publications

References 39 publications

Genotypic Differences in Effects of Short Episodes of High‐Temperature Stress during Reproductive Development in Sorghum

Genotypic Differences in Effects of Short Episodes of High‐Temperature Stress during Reproductive Development in Sorghum

Assessing climate change effects on gladiola in Southern Brazil

Scheduling optimum planting window for gladiola based on El Niño Southern Oscillation

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