Modeling of field emergence pattern of three weed species in response to soil temperature and moisture

Models that predict the timing of weed seedling emergence are used to optimize weed control schedules. This study was carried out with the aim to predict the time of seedling emergence of three weed species, namely, Datura stramonium, Solanum nigrum, and Amaranthus retroflexus in field conditions us...

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Main Authors: somayeh Tokasi, ebrahim kazerooni monfared, parviz rezvani, mehdi Nasiri Mahalati
Format: Article
Language:fas
Published: Islamic Azad University - Gorgan Branch 2017-12-01
Series:فیزیولوژی محیطی گیاهی
Subjects:
Online Access:https://ecophysiologi.gorgan.iau.ir/article_606042_8f749207be51b98c8d7c43834918e236.pdf
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author somayeh Tokasi
ebrahim kazerooni monfared
parviz rezvani
mehdi Nasiri Mahalati
author_facet somayeh Tokasi
ebrahim kazerooni monfared
parviz rezvani
mehdi Nasiri Mahalati
author_sort somayeh Tokasi
collection DOAJ
description Models that predict the timing of weed seedling emergence are used to optimize weed control schedules. This study was carried out with the aim to predict the time of seedling emergence of three weed species, namely, Datura stramonium, Solanum nigrum, and Amaranthus retroflexus in field conditions using soil temperature and moisture. Three planting dates including first of June, first of July, and first of August were studied with three irrigation regimes including every other two, three, and four days and with three weed species. To express the changes in the emergence process, hydrothermal time model () was used. MPa - °C - days required for the emergence was calculated with the base temperature and water potential that was calculated by hydrothermal time model and soil moisture and temperature. Cumulative emergence percentage was plotted with hydrothermal time model and the sigmoid three-parameter model was fitted on it. Then the maximum germination percentage and MPa - °C - days required for 50% seedling emergence was calculated. Results showed that seedling emergence of three weed species was the highest and lowest in the first regime of irrigation in August and third regime of irrigation in June, respectively. Three species seedlings were emerged higher and faster in August than in June and July. Hydrothermal time required for the seedling emergence of these species was varied. D. stramonium had the lowest and S. nigrum had the highest hydrothermal time for 50% seedling emergence. The optimum temperatures for A. retroflexus, S. nigrum, and D. stramonium were 30-35, 37-30, and 29-34 °C respectively in all water potentials.
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spelling doaj.art-9b90d6cb601b4fa0852f35d793763d142023-06-09T06:34:55ZfasIslamic Azad University - Gorgan Branchفیزیولوژی محیطی گیاهی2423-76712783-46892017-12-011248111606042Modeling of field emergence pattern of three weed species in response to soil temperature and moisturesomayeh Tokasi0ebrahim kazerooni monfared1parviz rezvani2mehdi Nasiri Mahalati3Plant Protection Research Department, Gilan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Rasht, IranUniversity of Applied Science and Technology, Gilan, Rasht, IranFerdowsi University of Mashhad, Mashhad, IranFerdowsi University of Mashhad, Mashhad, IranModels that predict the timing of weed seedling emergence are used to optimize weed control schedules. This study was carried out with the aim to predict the time of seedling emergence of three weed species, namely, Datura stramonium, Solanum nigrum, and Amaranthus retroflexus in field conditions using soil temperature and moisture. Three planting dates including first of June, first of July, and first of August were studied with three irrigation regimes including every other two, three, and four days and with three weed species. To express the changes in the emergence process, hydrothermal time model () was used. MPa - °C - days required for the emergence was calculated with the base temperature and water potential that was calculated by hydrothermal time model and soil moisture and temperature. Cumulative emergence percentage was plotted with hydrothermal time model and the sigmoid three-parameter model was fitted on it. Then the maximum germination percentage and MPa - °C - days required for 50% seedling emergence was calculated. Results showed that seedling emergence of three weed species was the highest and lowest in the first regime of irrigation in August and third regime of irrigation in June, respectively. Three species seedlings were emerged higher and faster in August than in June and July. Hydrothermal time required for the seedling emergence of these species was varied. D. stramonium had the lowest and S. nigrum had the highest hydrothermal time for 50% seedling emergence. The optimum temperatures for A. retroflexus, S. nigrum, and D. stramonium were 30-35, 37-30, and 29-34 °C respectively in all water potentials.https://ecophysiologi.gorgan.iau.ir/article_606042_8f749207be51b98c8d7c43834918e236.pdfsigmoid three-parameter modelsoil moisturesoil temperaturewater potentialsweed
spellingShingle somayeh Tokasi
ebrahim kazerooni monfared
parviz rezvani
mehdi Nasiri Mahalati
Modeling of field emergence pattern of three weed species in response to soil temperature and moisture
فیزیولوژی محیطی گیاهی
sigmoid three-parameter model
soil moisture
soil temperature
water potentials
weed
title Modeling of field emergence pattern of three weed species in response to soil temperature and moisture
title_full Modeling of field emergence pattern of three weed species in response to soil temperature and moisture
title_fullStr Modeling of field emergence pattern of three weed species in response to soil temperature and moisture
title_full_unstemmed Modeling of field emergence pattern of three weed species in response to soil temperature and moisture
title_short Modeling of field emergence pattern of three weed species in response to soil temperature and moisture
title_sort modeling of field emergence pattern of three weed species in response to soil temperature and moisture
topic sigmoid three-parameter model
soil moisture
soil temperature
water potentials
weed
url https://ecophysiologi.gorgan.iau.ir/article_606042_8f749207be51b98c8d7c43834918e236.pdf
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AT ebrahimkazeroonimonfared modelingoffieldemergencepatternofthreeweedspeciesinresponsetosoiltemperatureandmoisture
AT parvizrezvani modelingoffieldemergencepatternofthreeweedspeciesinresponsetosoiltemperatureandmoisture
AT mehdinasirimahalati modelingoffieldemergencepatternofthreeweedspeciesinresponsetosoiltemperatureandmoisture