A modelling approach for predicting the initial phase of Egyptian broomrape ( Phelipanche aegyptiaca ) parasitism in potato

Hosseini, Pershang; Ahmadvand, Goudarz; Oveisi, Mostafa; Morshedi, Parisa; González‐Andújar, José Luis

doi:10.1016/j.cropro.2017.06.004

Cited by 7 publications

(3 citation statements)

References 27 publications

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“…Temperature measurements establish the basis for a number of weed germination predictive models, many of which use an empirical approach (Cochavi et al 2018;Doyle 1991;Hosseini et al 2017). The concept of these empirical models is based on thermal time units, that is, summing heat units above minimal temperature thresholds to predict the germination dynamics (Trudgill et al 2005).…”

Section: Introductionmentioning

confidence: 99%

Development of a temperature-based seed germination model for silverleaf nightshade (Solanum elaeagnifolium)

2022

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Silverleaf nightshade (Solanum elaeagnifolium Cav.) has become a highly troublesome weed in irrigated summer crops in Israel. Since herbicide-based options to control this weed are limited, the best way to improve weed control is through a study of its biology, particularly its germination dynamics. The main objective of this study was thus to determine the impact of temperature on the seed germination dynamics of S. elaeagnifolium and to develop a temperature-based (thermal) prediction model for three S. elaeagnifolium populations growing in different ecosystems in Israel. To this end, a laboratory study was undertaken in which the germination proportion of S. elaeagnifolium seeds were monitored under seven temperature regimes: 2/8, 7/13, 12/18, 17/23, 22/28, 27/33 and 32/38 C (night/day). In addition, the impact of alternating temperature regimes between night and day temperatures (of 0, 2, 4, 6, 8 and 10 C), that were averaged over 20 and 25 C, was determined. It was found that the three populations shared similar germination characteristics and dynamics. An alternation of ≥ 6 C between night and day temperatures was needed for optimal germination, with no germination taking place under constant temperatures. In all three populations, the minimal requirement for germination was a 12/18 C (night/day) regime, with the final germination proportion lying between 0.25 and 0.36. The highest final germination proportion ≥0.8 was observed for the 17/23 C regime in all three populations. Modeling the germination rate as a function of temperature allowed us to determine cardinal temperatures for all three populations taken together, with the values being T b = 10.8 C (base temperature), T o = 23.8 C (optimal temperature) and T c = 35.9 C (ceiling temperature). These biological parameters allowed accurate (RMSE<0.06%) prediction of S. elaeagnifolium seed germination over the entire temperature range.

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Section: Introductionmentioning

confidence: 99%

Development of a temperature-based seed germination model for silverleaf nightshade (Solanum elaeagnifolium)

2022

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“…Hence, predictive phenological models could help to reduce herbicide rate and introduce more precise timing (Eizenberg et al 2005;Grenz et al 2005). Hosseini et al (2017) predicted the initial emergence of O. aegyptiaca in a potato field using the hydrothermal model. Such models need to be location based to address specific cropparasite interactions in each cropping region of Iran.…”

Section: Chemical Methodsmentioning

confidence: 99%

The problem of Orobanche spp. and Phelipanche spp. and their management in Iran

et al. 2020

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Broomrape species (Orobanche spp. and Phelipanche spp.) pose a tremendous threat to economically important crops in Iran; however, there is little information on the country’s major broomrape species, their distribution and host range, and the subsequent crop losses they cause. The literature from Iran describes Egyptian broomrape (Orobanche aegyptiaca Pers.), hemp broomrape (Orobanche ramosa L.), Phelipanche nana (Reut.) Beck and Orobanche cumana Wallr. as the major species of broomrape infesting agricultural fields. Solanaceae crops are among the most susceptible crops to infestation by broomrape in the country and farmers are either shifting production to crops with lesser value or abandoning crop production entirely. Among infested crops, tomato (Solanum lycopersicum L.) is the most susceptible and widely infested, resulting in annual crop yield reductions of up to 40%. Chickpea (Cicer arietinum L.) and canola (Brassica napus L.) are also highly susceptible to broomrape infestation. Current control methods (physical, agronomical, biological, and chemical) have not proven to be effective or economic. The microscopic size of broomrape seeds and the presence of a wide range of host plants (weeds and crops) have promoted the spread of broomrape to new areas of Iran. Hence, the familiarization of farmers with the biology of broomrape would be highly effective in finding suitable control measures and in preventing its further distribution.

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“…of weed emergence by means of models is becoming increasingly relevant in order to adopt effective management strategies (Grundy et al, 2000). In this sense, the thermal time model has been commonly used to study the impact of temperature on the emergence of different weed species (Gonzalez-Andujar et al, 2016;Hosseini et al, 2017;Wilen et al, 1996).…”

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confidence: 99%

Development of a new thermal time model for describing tuber sprouting of Purple nutsedge (Cyperus rotundus L.)

et al. 2021

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Purple nutsedge (Cyperus rotundus L.) is one of the most cosmopolitan perennial weeds prevalent in tropical and subtropical regions.Crop yield losses in the range of 20%-90% have been reported as competition of this weed (Peerzada, 2017). Tubers are the major organs through which purple nutsedge propagates (Siriwardana and Nishimoto, 1987), and the establishment of young shoots heavily relies on the sprouting process which, in turn, is mostly affected by temperature, among other environmental factors (Lati et al., 2011;Nishimoto, 2001). Increased knowledge of the factors that regulate the emergence of the reproductive organs will not only help to predict the emergence time of perennial weeds, but could also improve their control strategies (Favrelière et al., 2020;Holt and Orcutt, 1996;Liew et al., 2012).The crucial timing of weed removal is influenced by the relative emergence times of the crop and of the weed (Aikman et al., 1995;

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A modelling approach for predicting the initial phase of Egyptian broomrape ( Phelipanche aegyptiaca ) parasitism in potato

Cited by 7 publications

References 27 publications

Development of a temperature-based seed germination model for silverleaf nightshade (Solanum elaeagnifolium)

Development of a temperature-based seed germination model for silverleaf nightshade (Solanum elaeagnifolium)

The problem of Orobanche spp. and Phelipanche spp. and their management in Iran

Development of a new thermal time model for describing tuber sprouting of Purple nutsedge (Cyperus rotundus L.)

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