Thermal time and extreme weather events determine the emergence of Amaranthus palmeri

Ledda, Alejandra; Yanniccari, Marcos; Castro-Franco, Mauricio; Sobrero, M. T.

doi:10.51694/advweedsci/2022;40:amaranthus006

Cited by 2 publications

(1 citation statement)

References 26 publications

(25 reference statements)

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“…On the other hand, empirical models require less data and can offer the simplicity and flexibility needed for decision making on weed control. Thus, various types of empirical models have been used to predict weed emergence based on thermal time or hydrothermal time (Dorado et al, 2009; Ledda et al, 2022; Masin et al, 2014; Werle et al, 2014), but few are developed for species in tropical environments (Goulart et al, 2020). There is a gap of weed seedling emergence models adapted for tropical environments, where air temperature and rainfall during year seasons are well defined (Köppen, 1990).…”

Section: Introductionmentioning

confidence: 99%

Emergence modeling of three‐lobe morning glory (Ipomoea triloba L.) and demographic parameters of seed longevity and persistence in the soil

Zandoná,

Agostinetto,

Schimitz

et al. 2024

Weed Biology and Management

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Three‐lobe morning glory (Ipomoea triloba L.) is an annual weed, which presents vigorous growth, long cycle, and tolerance to glyphosate. Thus, knowledge of aspects related to germination and behavior in the seed bank of this species are essential for the adoption of appropriate management practices to reduce the population in agricultural fields. Therefore, the objective of this work was to characterize the requirements for three‐lobe morning glory germination, perform field emergence modeling using thermal and hydrothermal time models, and determine the longevity of the seed bank. Eight temperatures and 10 water potentials were tested in the laboratory to determine the base temperature and water potential for seed germination. For the modeling of the emergence, field experiments were conducted between the years 2014 and 2018 considering three sampling times (10/20, 11/10, and 12/01), which coincide with the sowing times of summer annual crops. To evaluate the longevity and persistence of the seed bank, a factorial experiment was conducted in which factor A consisted of three burial depths and factor B consisted of five harvesting times. Base values for three‐lobe morning glory emergence are base, optimum, and maximum temperatures of 12.32, 29.82, and 43.31°C, respectively, and base water potential of −0.80 MPa. Both models are adequate to predict the emergence of three‐lobe morning glory in the three sampling times. The species has a persistent seed bank, in which the greater the depth of seed burial, the greater the longevity of the seed bank, and can remain viable for up to 16 months.

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Section: Introductionmentioning

confidence: 99%

Emergence modeling of three‐lobe morning glory (Ipomoea triloba L.) and demographic parameters of seed longevity and persistence in the soil

Zandoná,

Agostinetto,

Schimitz

et al. 2024

Weed Biology and Management

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Reconstructing the Invasive History and Potential Distribution Prediction of Amaranthus palmeri in China

Jiao,

Long,

et al. 2023

Agronomy

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Palmer Amaranth (Amaranthus palmeri, Amaranthaceae) is one of the most competitive, troublesome, and noxious weeds causing significant yield reductions in various crops. A. palmeri was also a herbicide-resistant weed causing a serious eco-environmental problem. Given that the process of invasion is dynamic, the A. plamer invasion may already be quite severe where invasive species management and surveys are chronically lacking. Predicting the potential habitat of A. palmeri can help to develop effective measures for early warning and long-term detection. However, the invasive history and distribution patterns of A. palmeri in China remain largely unknown. Here, the invasive history and distribution patterns of A. palmeri from 1985 to 2022 in China were reconstructed, and then the potential geographical distribution of A. palmeri was predicted under current and future climate scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5) using the optimal MaxEnt model (V 3.4.4) and ArcGIS 10.8.2. The mean AUC values of A. palmeri were 0.967. Under the current climate conditions, the suitable habitat areas for A. palmeri reached 1,067,000 km2 in China and were mainly distributed in north and central China. Under the future scenarios, the highly suitable habitats were mainly distributed in Beijing, Tianjin, and Hebei. Under SSP2–4.5, the future suitable areas will reach the maximum and expand to 1,411,100 km2 in the 2060s. The centroid distribution would northwestward extend under future climate scenarios. The human footprint index, mean temperature of the warmest quarter (Bio_10), April wind speed (Wind_4), temperature seasonality (standard deviation × 100) (bio_4), topsoil gravel content (T_gravel), and precipitation of warmest quarter (Bio_18) were key environmental variables affecting distribution and growth of A. palmeri. Climate change would increase the risk of A. palmeri expanding to high latitudes. Our results will help in developing effective strategies for the early warning, prevention, control, and management of A. palmeri in China.

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Thermal time and extreme weather events determine the emergence of Amaranthus palmeri

Cited by 2 publications

References 26 publications

Emergence modeling of three‐lobe morning glory (Ipomoea triloba L.) and demographic parameters of seed longevity and persistence in the soil

Emergence modeling of three‐lobe morning glory (Ipomoea triloba L.) and demographic parameters of seed longevity and persistence in the soil

Reconstructing the Invasive History and Potential Distribution Prediction of Amaranthus palmeri in China

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