Modelling Weed Seedbank Dormancy and Germination

Batlla, Diego; Malavert, Cristian; Farnocchia, Rocío B Fernández; Benech‐Arnold, Roberto L.

doi:10.1007/978-3-030-44402-0_4

Cited by 5 publications

(3 citation statements)

References 60 publications

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“…The development of models able to predict ‘key’ aspects of the weeding process is relevant for making better weed management decisions. One of these ‘key’ processes is weed emergence, considering that the seedling stage is the most vulnerable stage for the application of control measures (Batlla et al, 2020; Gerhards et al, 2022). In this work, we quantify the changes in seed dormancy and germination of two E. crus‐galli populations as a function of the thermal environment under different post‐maturation conditions.…”

Section: Discussionmentioning

confidence: 99%

“…Consequently, these changes in seed population dormancy status can be quantified through changes in T l and T h (Batlla & Benech‐Arnold, 2015; Kruk & Benech‐Arnold, 1998). Germination will occur once the soil temperature enters in the permissive thermal range (Batlla et al, 2020; Batlla & Benech‐Arnold, 2015; Bewley et al, 2013), and the rate will depend on the accumulation of thermal time above a base temperature for seed germination.…”

Section: Introductionmentioning

confidence: 99%

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Thermal regulation of dormancy in Echinochloa crus‐galli (L.) P. Beauv. seeds: Development of a model to predict the temporal ‘window’ of emergence in the field

Malavert,

Batlla

2024

Weed Research

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Predicting weed emergence is of vital importance for weed management, since the seedling stage is the most effective plant stage for the application of control practices. In weeds species whose seeds present dormancy, as in Echinochloa crus‐galli, predicting emergence requires understanding how the environment regulates seed dormancy level. In the present work we studied the environmental regulation of dormancy in E. crus‐galli seeds. For this, E. crus‐galli seeds were stored under different conditions: (i) moist at 5, 10 and 15°C (stratification) and (ii) dry at 15 and 25°C (dry after‐ripening) for 80 days. During storage the seeds were tested for germination at regular intervals under a wide thermal range (10–30°C). The results showed that the changes in dormancy level were associated with a widening of the thermal range permissive for seed germination, which was mainly explained by a decrease in its lower limit temperature (Tl). This decrease in Tl was higher when the seeds were stratified at 10°C than at 5 and 15°C. Seeds exposed to dry after‐ripening showed an extremely low rate of dormancy release. Obtained results were used to establish functional relationships able to predict the temporal ‘window’ of field emergence of E. crus‐galli as a function of soil temperature.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Thermal regulation of dormancy in Echinochloa crus‐galli (L.) P. Beauv. seeds: Development of a model to predict the temporal ‘window’ of emergence in the field

Malavert,

Batlla

2024

Weed Research

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“…Soil temperature is widely acknowledged as the main regulatory variable of seed dormancy which is also modulated by soil water content in many cases. Seedbank dormancy levels are defined by seasonal soil temperature fluctuations which define the amplitude of the permissive germination range of a given weed population (Batlla, Malavert, Farnocchia, & Benech‐Arnold, 2020). For summer annual weed species, dormancy release occurs after seed stratification during winter resulting in low dormancy levels at the beginning of spring.…”

Section: Introductionmentioning

confidence: 99%

Climate effect on Avena fatua field emergence dynamics: A 38‐year experiment in the semiarid Pampean region of Argentina

Renzi

Traversa

Vigna

et al. 2022

Annals of Applied Biology

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Climate events modulate weed population dynamics mainly by influencing field seedling emergence patterns. Field experiments aiming to study the influence of climate on the early‐stage establishment of weeds are of utmost importance from a practical and strategic decision‐making management point of view. The objective of this study was to analyse the effect of climate variations on the field emergence dynamics of Avena fatua in the southwest area of the semiarid Pampean region of Argentina. Field emergence patterns of A. fatua were monitored from 1977 to 2015. Seedling counts were destructively sampled at weekly intervals. Three quadrats (1 m2 each) were randomly distributed on a 5 ha experimental field with a high natural population density of A. fatua in the absence of a crop. Results show that the emergence strategy of this species is highly plastic with a striking variation in response to year‐to‐year climate signals. Avena fatua field emergence strategies were classified as staggered, early, medium and late based on both chronological and hydrothermal‐time parameters. In the short‐term, precipitation regimes during both the after‐ripening and emergence phases largely explained the resulting emergence strategy. In the long‐term, the combined effect of a reduction in both the precipitation frequency and the mean minimum temperature correlated with an increase in the staggered emergence pattern. Results also point out the adaptability of A. fatua in the area under study, further suggesting a bet‐hedging fitness strategy that could diminish the risk of population decline under changing climate scenarios. From an agronomic perspective, the occurrence of staggered emergence patterns with an extended emergence window would complicate the definition of the optimal time for weed control. Thus, tailoring decisions based on the Southern Oscillation Index (SOI) episodes (neutral, negative or positive) forecast plus the implementation of weed emergence models could lead to more accurate and sustainable weed management decisions.

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Emergence Pattern of Argemone mexicana, Brassica tournefortii, and Rapistrum rugosum in Eastern Australia

Mahajan,

Singh Chauhan

2024

Journal of Crop Health

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A study assessed the potential for using cumulative growing degree days (CGDD) to predict the weed emergence periodicity of three weed species: Argemone mexicana, Brassica tournefortii, and Rapistrum rugosum. Weed emergence was monitored regularly by placing 200 fresh seeds of each weed species on the soil surface. Weed emergence data was fit using a three-parameter sigmoidal Gompertz model. The CGDD required for 50% emergence of A. mexicana ranged from 3380 to 5302, depending upon the seasonal variation in temperature and rainfall. The majority of emergence appeared from March to June. The seeds of A. mexicana exhibited dormancy, as the majority of seeds germinated in the second season. The CGDD required for 50% emergence of B. tournefortii ranged from 824 to 2311, depending upon the seasonal variation in temperature and intensity of rainfall. Most cohorts of B. tournefortii appeared in the first season from February to June, indicating little dormancy in seeds. The CGDD required for 50% emergence of R. rugosum ranged from 2242 to 2699, depending upon weather parameters (temperature and rainfall). The main cohorts of R. rugosum appeared from February to June, and 60% of seeds germinated in the first season, while 40% germinated in the second season, indicating dormancy in seeds. The coefficients of determination for the model verification on the emergence pattern of three weeds were > 85%, suggesting that CGDD are good predictors for the emergence of these weeds. These results suggest that forecasting the emergence of three weed species on the basis of CGDD and rainfall patterns will help growers to make better weed management decisions.

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Modelling Weed Seedbank Dormancy and Germination

Cited by 5 publications

References 60 publications

Thermal regulation of dormancy in Echinochloa crus‐galli (L.) P. Beauv. seeds: Development of a model to predict the temporal ‘window’ of emergence in the field

Thermal regulation of dormancy in Echinochloa crus‐galli (L.) P. Beauv. seeds: Development of a model to predict the temporal ‘window’ of emergence in the field

Climate effect on Avena fatua field emergence dynamics: A 38‐year experiment in the semiarid Pampean region of Argentina

Emergence Pattern of Argemone mexicana, Brassica tournefortii, and Rapistrum rugosum in Eastern Australia

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