A thermal time model for optimising herbicide dose in maize

Weed Research ◽  
2021 ◽  
Author(s):  
Behnaz Pourmorad Kaleibar ◽  
Mostafa Oveisi ◽  
Hassan Alizadeh ◽  
Heinz Mueller Schaerer
Keyword(s):  
Thermal Time ◽  
Time Model ◽  
Thermal Time Model

Utilizing a Thermal Time Model to Estimate Safe Times to Transplant Tilia Trees

2019 ◽  
Vol 45 (5) ◽  
Author(s):  
Tapio Linkosalo ◽  
Pilvi Siljamo ◽  
Anu Riikonen ◽  
Frank Chmielewski ◽  
Juha Raisio
Keyword(s):  
Geographical Area ◽  
Frost Damage ◽  
Thermal Time ◽  
Weather Data ◽  
Model Parameters ◽  
The European Union ◽  
Time Model ◽  
Large Size ◽  
Nursery Trees ◽  
Thermal Time Model

City trees planted in parks and along streets are typically grown to large size in nurseries before being transplanted to their final growing sites. According to tendering rules within the European Union (EU), any business may compete for public contracts in any EU country, and this applies to purchases of valuable lots of nursery trees. There is however a risk of poor transplanting success if the trees are imported from very distant locations with a different pace of spring development. The aim of this study was to implement a Thermal Time model to predict the spring development of Tilia trees to find out in which geographical area the spring development is sufficiently similar to conditions in southern Finland, so that the success of transplantation of the trees is not unduly risked. We used phenological observations collected at the International Phenological Gardens (IPGs) over the whole of Europe, together with ERA-Interim weather data to estimate the model parameters, and then used the same date to predict the onset of leaf unfolding ofTilia during the years 1980 to 2015. Producing maps of phenological development of Tilia, we concluded that there are no large risks of frost damage if tree import area is limited to northern parts of Baltics or to the west coast of Scandinavia.

Modeling germination of smallflower umbrella sedge (Cyperus difformis L.) seeds from rice fields in California across suboptimal temperatures

2019 ◽  
Vol 33 (5) ◽  
pp. 733-738 ◽  
Author(s):  
Rafael M. Pedroso ◽  
Durval Dourado Neto ◽  
Ricardo Victoria Filho ◽  
Albert J. Fischer ◽  
Kassim Al-Khatib
Keyword(s):  
Growth Models ◽  
Rice Fields ◽  
Control Measures ◽  
Thermal Time ◽  
Model Parameters ◽  
Base Temperature ◽  
Probit Regression ◽  
Time Model ◽  
Thermal Requirements ◽  
Thermal Time Model

AbstractSmallflower umbrella sedge is a prolific C3 weed commonly found in rice fields in 47 countries. The increasing infestation of herbicide-resistant smallflower umbrella sedge populations threatens rice production. Our objectives for this study were to characterize thermal requirements for germination of smallflower umbrella sedge seeds from rice fields in California and to parameterize a population thermal-time model for smallflower umbrella sedge germination. Because the use of modeling techniques is hampered by the lack of thermal-time model parameters for smallflower umbrella sedge seed germination, trials were carried out by placing field-collected seeds in a thermogradient table set at constant temperatures of 11.7 to 41.7 C. Germination was assessed daily for 30 d, and the whole experiment was repeated a month later. Using probit regression analysis, thermal time to median germination [θT(50)], base temperature for germination (Tb), and SD of thermal times for germination [σθT(50)] were estimated from germination data, and model parameters were derived using the Solver tool in Microsoft Excel®. Germination rates increased linearly below the estimated optimum temperatures of 33.5 to 36 C. Estimated Tb averaged 16.7 C, whereas θT(50) equaled 17.1 degree-days and σθT(50) was only 0.1 degree-day. The estimated Tb for smallflower umbrella sedge is remarkably higher than that of japonica and indica types of rice, as well as Tb of important weeds in the Echinochloa complex. Relative to the latter, smallflower umbrella sedge has lower thermal-time requirements to germination and greater germination synchronicity. However, it would also initiate germination much later because of its higher Tb, given low soil temperatures early in the rice growing season in California. When integrated into weed growth models, these results might help optimize the timing and efficacy of smallflower umbrella sedge control measures.

scholarly journals Germination parameterization and development of an after-ripening thermal-time model for primary dormancy release of Lithospermum arvense seeds

2009 ◽  
Vol 103 (8) ◽  
pp. 1291-1301 ◽  
Author(s):  
Guillermo R. Chantre ◽  
Diego Batlla ◽  
Mario R. Sabbatini ◽  
Gustavo Orioli
Keyword(s):  
Thermal Time ◽  
Dormancy Release ◽  
Time Model ◽  
Primary Dormancy ◽  
Thermal Time Model

scholarly journals Application of the thermal time model for different Typha domingensis populations

2020 ◽  
Author(s):  
Fanny Mabel Carhuancho León ◽  
Pedro Luis Aguado Cortijo ◽  
María del Carmen Morató Izquierdo ◽  
María Teresa Castellanos Moncho
Keyword(s):  
Seed Germination ◽  
Mean Value ◽  
Thermal Time ◽  
Plant Responses ◽  
Base Temperature ◽  
Typha Domingensis ◽  
Time Model ◽  
Germination Response ◽  
Thermal Regimes ◽  
Thermal Time Model

Abstract Background: Cattail (Typha domingensis Pers.) is a perennial emergent plant which is used in Green Floating Filters (GFFs), one of the most innovative systems of wastewater treatment to bioremediate eutrophic waters and produce biomass as biofuel feedstocks. The establishment of cattails in GFFs depends on the seed germination and plant responses under conditions of a new habitat. This study analysed the germination responses of four different populations of cattails through a thermal time model to know their basic parameters of germination and which population would be more adapted to the conditions tested.Results: Seeds from the Badajoz (Ba), Cuenca (Cu), Madrid (Ma), Seville (Se) and Toledo (To) populations were exposed to different thermal regimes (constant, and alternating temperatures between 15 and 30°C) and different darkness treatments (between 0 and 20 days with 24h dark photoperiod, then exposed to light with 12h light/dark photoperiod) to determine the parameters of the thermal model from germination levels in each treatment. To population was used to validate the thermal time parameters of other populations. Regardless of the other parameters, no germination occurred in total darkness. The mean value of base temperature (Tb) was 16.4±0.2°C in all treatments. Optimum temperature (To) values in Ma and Ba were 25°C, and those in Cu and Se were 22.5°C. The germination response decreased when the temperature approached Tb and increased when it was close to To. In comparison to alternating temperatures, constant temperatures had the highest germination response and lowest thermal time (θT(50)). Darkness treatments had a direct relationship with θT(50). The population origin also affected seed germination; Cu had the highest values of To and germination response but had a lower θT(50), which coincides with the lowest mean ambient temperatures. Conclusion : According to these results, the germination response of cattails was high in all populations under optimal conditions but was affected to a greater or lesser extent depending on thermal regimes, darkness treatments, and populations. The thermal time model allowed us to determine that To was between 22.5-25ºC and that Cu is the best population regarding the germination response under the conditions tested.

Germination response of black nightshade (Solanum nigrum) to temperature and the establishment of a thermal time model

Weed Science ◽  
2021 ◽  
pp. 1-26
Author(s):  
Ziqing Ma ◽  
Hongjuan Huang ◽  
Zhaofeng Huang ◽  
Dongjing Guo ◽  
Muhammad Saeed ◽  
...  
Keyword(s):  
Seed Germination ◽  
Seedling Emergence ◽  
Northern China ◽  
Solanum Nigrum ◽  
Thermal Time ◽  
Base Temperature ◽  
Time Model ◽  
Black Nightshade ◽  
Germination Response ◽  
Thermal Time Model

Abstract Black nightshade (Solanum nigrum L.) is one of the worst weeds in crop fields, and it spreads mainly by the dispersal of seeds. Temperature is one of the key environmental factors affecting seed germination. We investigated the seed germination response to temperature in six populations of S. nigrum from mid to northern China and derived mathematical models from germination data. The results showed that S. nigrum seeds exhibit distinct germination responses to temperature within the range of 15 to 35 °C. The optimum temperatures for the populations XJ1600, JL1697 and HLJ2134 were 30 °C, and those for the populations NMG1704, HN2160 and LN2209 were 25 °C, 20 °C and 15 °C, respectively. Based on the nonlinear fitting and thermal time models, the predicted base temperatures of the six populations ranged from 2.3 to 6.4 °C, and the required accumulated growing degree days (GDD) ranged from 50.3 to 106.0 °C·d. The base temperatures and the accumulated GDD for germination differed among populations, and there was a significant negative correlation. HLJ2134 population required a high base temperature and accumulated GDD for germination, indicating that it might highly adapted to a warmer and moister environment. Based on the different germination responses of S. nigrum populations to temperature, the thermal time model reflects an innate relationship between base temperature and accumulated GDD required for initiation of seed germination, which provides a better basis for predicting seedling emergence and the timing for optimal control of S. nigrum under field conditions.

A thermal time model for predicting parasitism of Orobanche cumana in irrigated sunflower—Field validation

2012 ◽  
Vol 137 ◽  
pp. 49-55 ◽  
Author(s):  
H. Eizenberg ◽  
J. Hershenhorn ◽  
G. Achdari ◽  
J.E. Ephrath
Keyword(s):  
Thermal Time ◽  
Field Validation ◽  
Time Model ◽  
Orobanche Cumana ◽  
Thermal Time Model

A Modified Thermal Time Model to Predict Germination Rate of Ryegrass and Tall Fescue at Constant Temperatures

Crop Science ◽  
2013 ◽  
Vol 53 (1) ◽  
pp. 240-249 ◽  
Author(s):  
Hongxiang Zhang ◽  
Craig R. McGill ◽  
Louis J. Irving ◽  
Peter D. Kemp ◽  
Daowei Zhou
Keyword(s):  
Tall Fescue ◽  
Germination Rate ◽  
Thermal Time ◽  
Time Model ◽  
Thermal Time Model
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