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

Eizenberg, Hanan; Hershenhorn, Joseph; Achdari, Guy

doi:10.1016/j.fcr.2012.07.020

Cited by 29 publications

(27 citation statements)

References 39 publications

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“…Ephrath et al (2012), for example, found a positive linear correlation between increased temperatures and P. aegyptiaca development on tomato roots. A similar correlation was described between Orobanche minor and Orobanche cumana parasitism on red clover and sunflower roots, respectively (Eizenberg et al, 2005a, 2012b). According to these models, decision support systems for effective parasite management were developed for each crop separately.…”

Section: Introductionsupporting

confidence: 74%

“…At high temperatures development of both P. aegyptiaca and carrot taproot was inhibited. In previous research, a linear model was found to adequately describe the relations between thermal time and parasitism dynamics for O. minor on red clover, O. cumana on sunflower, and P. aegyptiaca on tomato (Eizenberg et al, 2005a, 2012b; Ephrath et al, 2012). However, model fitting to the current data using the linear model resulted in poor prediction.…”

Section: Discussionmentioning

confidence: 98%

“…In another, more complicated method, the underlying idea is that the sprayed herbicide must move through the host plant vessels to reach the parasite tubercle after the parasite has established a connection with the host xylem and phloem system. Since broomrape is a strong sink, absorbing water and nutrients from the host, the herbicide will indeed move rapidly through the plant vascular system to the parasite (Eizenberg et al, 2012b). In view of these application methods, there is a need to establish the optimal conditions for effective and efficient broomrape control without causing damage to the host.…”

Section: Introductionmentioning

confidence: 99%

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Thermal Time Model for Egyptian Broomrape (Phelipanche aegyptiaca) Parasitism Dynamics in Carrot (Daucus carota L.): Field Validation

et al. 2016

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Carrot, a highly profitable crop in Israel, is severely damaged by Phelipanche aegyptiaca parasitism. Herbicides can effectively control the parasite and prevent damage, but for optimal results, knowledge about the soil–subsurface phenological stage of the parasite is essential. Parasitism dynamics models have been successfully developed for the parasites P. aegyptiaca, Orobanche cumana, and Orobanche minor in the summer crops, tomato, sunflower, and red clover, respectively. However, these models, which are based on a linear relationship between thermal time and the parasitism dynamics, may not necessarily be directly applicable to the P. aegyptiaca–carrot system. The objective of the current study was to develop a thermal time model to predict the effect of P. aegyptiaca parasitism dynamics on carrot growth. For development and validation of the models, data was collected from a temperature-controlled growth experiment and from 13 plots naturally infested with P. aegyptiaca in commercial carrot fields. Our results revealed that P. aegyptiaca development is related to soil temperature. Moreover, unlike P. aegyptiaca parasitism in sunflower and tomato, which could be predicted both a linear model, P. aegyptiaca parasitism dynamics on carrot roots required a nonlinear model, due to the wider range of growth temperatures of both the carrot and the parasite. Hence, two different nonlinear models were developed for optimizing the prediction of P. aegyptiaca parasitism dynamics. Both models, a beta function model and combined model composed of a beta function and a sigmoid curve, were able to predict first P. aegyptiaca attachment. However, overall P. aegyptiaca dynamics was described more accurately by the combined model (RMSE = 14.58 and 10.79, respectively). The results of this study will complement previous studies on P. aegyptiaca management by herbicides to facilitate optimal carrot growth and handling in fields infested with P. aegyptiaca.

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Section: Introductionsupporting

confidence: 74%

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Thermal Time Model for Egyptian Broomrape (Phelipanche aegyptiaca) Parasitism Dynamics in Carrot (Daucus carota L.): Field Validation

et al. 2016

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“…This change in the mesophyll tissue was detected almost exactly at the predicted time for the first O. cumana attachment, according to Eizenberg et al (2012b). Previously, changes in mesophyll tissue have been recorded in response to salinity stress and water deficit (Delfine et al, 1998; Rapaport et al, 2015).…”

Section: Discussionsupporting

confidence: 71%

Recognition of Orobanche cumana Below-Ground Parasitism Through Physiological and Hyper Spectral Measurements in Sunflower (Helianthus annuus L.)

et al. 2017

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Broomrape (Orobanche and Phelipanche spp.) parasitism is a severe problem in many crops worldwide, including in the Mediterranean basin. Most of the damage occurs during the sub-soil developmental stage of the parasite, by the time the parasite emerges from the ground, damage to the crop has already been done. One feasible method for sensing early, below-ground parasitism is through physiological measurements, which provide preliminary indications of slight changes in plant vitality and productivity. However, a complete physiological field survey is slow, costly and requires skilled manpower. In recent decades, visible to-shortwave infrared (VIS-SWIR) hyperspectral tools have exhibited great potential for faster, cheaper, simpler and non-destructive tracking of physiological changes. The advantage of VIS-SWIR is even greater when narrow-band signatures are analyzed with an advanced statistical technique, like a partial least squares regression (PLS-R). The technique can pinpoint the most physiologically sensitive wavebands across an entire spectrum, even in the presence of high levels of noise and collinearity. The current study evaluated a method for early detection of Orobanche cumana parasitism in sunflower that combines plant physiology, hyperspectral readings and PLS-R. Seeds of susceptible and resistant O. cumana sunflower varieties were planted in infested (15 mg kg-1 seeds) and non-infested soil. The plants were examined weekly to detect any physiological or structural changes; the examinations were accompanied by hyperspectral readings. During the early stage of the parasitism, significant differences between infected and non-infected sunflower plants were found in the reflectance of near and shortwave infrared areas. Physiological measurements revealed no differences between treatments until O. cumana inflorescences emerged. However, levels of several macro- and microelements tended to decrease during the early stage of O. cumana parasitism. Analysis of leaf cross-sections revealed differences in range and in mesophyll structure as a result of different levels of nutrients in sunflower plants, manifesting the presence of O. cumana infections. The findings of an advanced PLS-R analysis emphasized the correlation between specific reflectance changes in the SWIR range and levels of various nutrients in sunflower plants. This work demonstrates potential for the early detection of O. cumana parasitism on sunflower roots using hyperspectral tools.

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“…5 C for O. crenata, and Grenz et al (2008) who used 5 C for O. cumana. Eizenberg et al (2012) achieved excellent predictions of attachments of O. cumana to sunflower roots using the base temperature of the sunflower host (4 C) while noting that models of attachment are only applicable above base temperatures for growth of both parasite (5 C) and host (see Sect. 23.4).…”

Section: Thermal Time and The Rate Of Germination In The Laboratory Amentioning

confidence: 99%

Germination Ecophysiology

Murdoch

Kebreab

2013

Parasitic Orobanchaceae

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

Cited by 29 publications

References 39 publications

Thermal Time Model for Egyptian Broomrape (Phelipanche aegyptiaca) Parasitism Dynamics in Carrot (Daucus carota L.): Field Validation

Thermal Time Model for Egyptian Broomrape (Phelipanche aegyptiaca) Parasitism Dynamics in Carrot (Daucus carota L.): Field Validation

Recognition of Orobanche cumana Below-Ground Parasitism Through Physiological and Hyper Spectral Measurements in Sunflower (Helianthus annuus L.)

Germination Ecophysiology

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