The Experts below are selected from a list of 5283 Experts worldwide ranked by ideXlab platform
Saba Rahimi - One of the best experts on this subject based on the ideXlab platform.
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Pre-harvest application of polyamines enhances antioxidants and table grape (Vitis vinifera L.) quality during Postharvest Period
Food Chemistry, 2016Co-Authors: Seyed Hossein Mirdehghan, Saba RahimiAbstract:Pre-harvest foliar spraying of grapevines with putrescine (Put) and spermidine (Spd) (0, 1, 2 mM) was evaluated for determining the fruit quality at harvest and improving Postharvest characteristics of table grapes during cold storage. Fruit parameters in terms of firmness, fungal infection, weight loss, total phenol concentration, antioxidant activity, skin color, total anthocyanin concentration, total soluble solids (TSS) and titratable acidity (TA) were evaluated after 0, 25 and 55 days of storage at 1.5 ± 1 °C and 90 ± 5% R.H. Softening, fungal infection and weight loss increased during cold storage but the rate of changes significantly was delayed in Put- and Spd-treated fruits. Besides these, the application of Put and Spd maintained higher values of phenolics content, antioxidant activity and anthocyanins at the end of storage in compare to control. Furthermore, after 55 days of storage all treated fruits with Put and Spd showed lower changes in L∗, TSS and TA and also higher value of chroma in berries.
Sara Siahmansour - One of the best experts on this subject based on the ideXlab platform.
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Pre-harvest application of chitosan and Postharvest Aloe vera gel coating enhances quality of table grape (Vitis vinifera L. cv. ‘Yaghouti’) during Postharvest Period
Food chemistry, 2021Co-Authors: Abdollah Ehtesham Nia, Shirin Taghipour, Sara SiahmansourAbstract:Abstract The present study evaluated impact of pre-harvest foliar spraying with chitosan (2.0% and 3.0%) and post-harvest Aloe vera gel (AVG) coating (25% and 33%) to determine the quality of table grape during storage. The results showed that both treatments significantly influenced the storage lifetime of this fruit. In addition, the chitosan and AVG combinations minimized the incidence of decay and reduced the weight loss more than that of chitosan, AVG and control samples. 25 days once the foliar application of chitosan 3.0% with AVG 33% coating extending the storage life of fruit up to 15 days by significantly reducing decay index, malondialdehyde, weight loss and polyphenol oxidase also, maintaining the overall quality index, firmness, antioxidant capacity, peroxidase, total phenols, anthocyanin, SSC and vitamin C. Based on the findings, these natural compound treatments could be considered as suitable alternatives to extend the marketable Period of table grapes and minimize post-harvest losses.
Emrys Treasure - One of the best experts on this subject based on the ideXlab platform.
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Clearcutting upland forest alters transpiration of residual trees in the riparian buffer zone
Hydrological Processes, 2015Co-Authors: Johnny L. Boggs, Ge Sun, Jean-christophe Domec, Steven G. Mcnulty, Emrys TreasureAbstract:Our objectives are (1) to compare tree sap flux density (Js in g cm−2 d−1) and stomatal conductance (Gs in mmol m−2 s−1) across five dominant species, red maple (Acer rubrum), sweetgum (Liquidambar styraciflua), tulip poplar (Liriodendron tulipifera), loblolly pine (Pinus taeda), and oak species (Quercus spp.), (2) to quantity riparian buffer stand transpiration (Es in mm d−1), and (3) to link riparian buffer Es of residual trees to stream discharge. In June 2010, the above species were instrumented with sap flow sensors in a pair (HF1 and HF2) of 12 hectare gauged watersheds. HF1 was clearcut, leaving a 15.2-m riparian buffer around the stream, and HF2 was the reference. Trees were harvested in the riparian buffer reducing HF1 riparian buffer basal area by 27%. The riparian buffer growing season net radiation increased from 11.9 W m−2 preharvest to an average of 24.3 W m−2 Postharvest. HF1 stream growing season discharge increased dramatically (150%) from the preharvest to Postharvest Period. HF1 2010 preharvest growing season soil moisture was 22.5%. HF1 Postharvest growing season soil moisture was 28.5% in 2011, 26.5% in 2012, and 27.2% in 2013. HF2 canopy cover, energy input, and soil moisture showed little change over the same Period. From preharvest to Postharvest, mean daily growing season Js of trees in HF1 increased in all species. A reduction in HF1 Gs was less evident over the study vapour pressure deficit range in loblolly pine, red maple, and tulip poplar than in oak and sweetgum during the Postharvest Period. HF1 residual trees in the riparian buffer used 43% more water in growing season Postharvest (314 mm) than growing preharvest (220 mm) Period. This resulted in an 8% reduction in stream discharge because of an increase in riparian buffer Es. Although clearcutting increased stream discharge, we conclude that the increase in transpiration by the residual trees in the riparian buffer will, at least, partially mitigate the hydrologic effects of forest removal through increased transpiration. Copyright © 2015 John Wiley & Sons, Ltd.
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Clearcutting upland forest alters transpiration of residual trees in the riparian buffer zone
Hydrological Processes, 2015Co-Authors: Johnny Boggs, Ge Sun, Jean-christophe Domec, Steven Mcnulty, Emrys TreasureAbstract:Our objectives are (1) to compare tree sap flux density (J(s) in g cm(-2) d(-1)) and stomatal conductance (G(s) in mmol m(-2) s(-1)) across five dominant species, red maple (Acer rubrum), sweetgum (Liquidambar styraciflua), tulip poplar (Liriodendron tulipifera), loblolly pine (Pinus taeda), and oak species (Quercus spp.), (2) to quantity riparian buffer stand transpiration (E-s in mm d(-1)), and (3) to link riparian buffer E-s of residual trees to stream discharge. In June 2010, the above species were instrumented with sap flow sensors in a pair (HF1 and HF2) of 12 hectare gauged watersheds. HF1 was clearcut, leaving a 15.2-m riparian buffer around the stream, and HF2 was the reference. Trees were harvested in the riparian buffer reducing HF1 riparian buffer basal area by 27%. The riparian buffer growing season net radiation increased from 11.9 W m(-2) preharvest to an average of 24.3 W m(-2) Postharvest. HF1 stream growing season discharge increased dramatically (150%) from the preharvest to Postharvest Period. HF1 2010 preharvest growing season soil moisture was 22.5%. HF1 Postharvest growing season soil moisture was 28.5% in 2011, 26.5% in 2012, and 27.2% in 2013. HF2 canopy cover, energy input, and soil moisture showed little change over the same Period. From preharvest to Postharvest, mean daily growing season J(s) of trees in HF1 increased in all species. A reduction in HF1 Gs was less evident over the study vapour pressure deficit range in loblolly pine, red maple, and tulip poplar than in oak and sweetgum during the Postharvest Period. HF1 residual trees in the riparian buffer used 43% more water in growing season Postharvest (314 mm) than growing preharvest (220 mm) Period. This resulted in an 8% reduction in stream discharge because of an increase in riparian buffer E-s. Although clearcutting increased stream discharge, we conclude that the increase in transpiration by the residual trees in the riparian buffer will, at least, partially mitigate the hydrologic effects of forest removal through increased transpiration.
Bénédicte Quilot-turion - One of the best experts on this subject based on the ideXlab platform.
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Brown Rot Strikes Prunus Fruit: An Ancient Fight Almost Always Lost.
Journal of agricultural and food chemistry, 2016Co-Authors: Leandro Oliveira Lino, Igor Pacheco, Vincent Mercier, Franco Faoro, Daniele Bassi, Isabelle Bornard, Bénédicte Quilot-turionAbstract:Brown rot (BR) caused by Monilinia spp., has been an economic problem for the stone fruit market due to dramatic losses, mainly during the Postharvest Period. There is much literature about basic aspects of Monilinia spp. infection, which indicates that environment significantly influences its occurrence in the orchard. However, progress is needed to sustainably limit this disease: the pathogen is able to develop resistance to pesticides, and most of BR resistance research programs in plant models perish. Solving this problem becomes important due to the need to decrease chemical treatments and reduce residues on fruit. Thus, research has recently increased, exploring a wide range of disease control strategies (e.g., genetic, chemical, physical). Summarizing this information is difficult, as studies evaluate different Monilinia and Prunus model species, with diverse strategies and protocols. Thus, the purpose of this review is to present the diversity and distribution of agents causing BR, focusing on the...
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Brown rot strikes Prunus fruit: an ancient fight almost always lost
Journal of Agricultural and Food Chemistry, 2016Co-Authors: Leandro De Oliveira-lino, Igor Pacheco, Vincent Mercier, Franco Faoro, Daniele Bassi, Isabelle Bornard, Bénédicte Quilot-turionAbstract:Brown rot (BR) caused by Monilinia spp., has been an economic problem for the stone fruit market due to the dramatic losses, with the biggest losses mainly during the Postharvest Period. There is much literature about basic aspects of Monilinia spp. infection, which indicates that environment significantly influences its occurrence in the orchard. However, progress is needed to sustainably limit this disease: the pathogen is able to develop resistance to pesticides and most of BR resistance research programs in plant models perish. Solving this problem becomes important due to the need to decrease chemical treatments and reduce residues on fruit. Thus, research has recently increased, exploring a wide range of disease control strategies (e.g. genetic, chemical, physical). Summarizing this information is difficult, as studies evaluate different Monilinia and Prunus model species, with diverse strategies and protocols. Thus, the purpose of this review is to present the diversity and distribution of agents causing BR, focusing on the biochemical mechanisms of Monilinia spp. infection both of the fungi and of the fruit, and report on the resistance sources in Prunus germplasm. In this review, we comprehensively compile the information currently available to better understand mechanisms related to BR resistance.
Naoki Sakurai - One of the best experts on this subject based on the ideXlab platform.
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non destructive determination of the optimum eating ripeness of pears and their texture measurements using acoustical vibration techniques
Postharvest Biology and Technology, 2009Co-Authors: Mitsuru Taniwaki, Minami Tohro, Takanori Hanada, Naoki SakuraiAbstract:Abstract We investigated the time-course changes in the elasticity index (EI) and texture index (TI) of pears (Pyrus communis L. cv. La France) during the Postharvest Period. EI was determined using a formula EI = f 2 2 m 2 / 3 , where f2 is the pear sample's second resonance frequency and m is the sample mass. A non-destructive vibrational method using a laser Doppler vibrometer (LDV) was used to measure the pears’ second resonance frequency (f2). Changes in the EI of the pears showed bi-phasic decay. Along with sensory testing, we determined the Period of optimum eating ripeness of the pears in terms of their EI to be 8.1 × 104–1.5 × 105 kg2/3 Hz2. Pre-determined EI of pears enables consumers to predict the time range of optimum eating ripeness. An improved device for texture measurement was used for measuring time-course changes in the texture of pears. The texture was quantified with TI, which was determined for 18 frequency bands through integration of squared amplitudes of texture signals multiplied using a factor of a frequency band. The TI declined gradually over a wide frequency range as the pear samples ripened.
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determination of optimum ripeness for edibility of Postharvest melons using nondestructive vibration
Food Research International, 2009Co-Authors: Mitsuru Taniwaki, Masahiro Takahashi, Naoki SakuraiAbstract:Abstract We investigated time-course changes in the elasticity index (EI) of two melon (Cucumis melo L.) cultivars (“Andes” and “Quincy”) during their Postharvest Period. The EI was determined using the formula EI = f 2 2 · m 2 / 3 , where f2 and m were the second resonance frequency and the mass of the sample, respectively. A nondestructive vibrational method with laser Doppler vibrometer (LDV) was used for measuring the second resonance frequency (f2) of the melon samples. The changes in the EI of both cultivars showed quasi-exponential and biphasic decays. Along with sensory tests, we determined the optimum ripeness for edibility of the melons in terms of their EI to be 4.2–6.3 × 104 kg2/3 Hz2 (“Andes”) and 4.5–5.6 × 104 kg2/3 Hz2 (“Quincy”). Therefore, predetermined EI of two melon cultivars enables consumers to predict the time range of optimum ripeness.
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Postharvest quality evaluation of "Fuyu" and "Taishuu" persimmons using a nondestructive vibrational method and an acoustic vibration technique.
Postharvest Biology and Technology, 2009Co-Authors: Mitsuru Taniwaki, Takanori Hanada, Naoki SakuraiAbstract:Abstract We investigated time-course changes in the elasticity index (EI) and texture index (TI) of two persimmon (Diospyros kaki Thunb.) cultivars (“Fuyu” and “Taishuu”) during the Postharvest Period. EI was determined using the formula EI = f 2 2 m 2 / 3 , where f2 is the second resonance frequency of a sample, and m is the mass of the sample. A nondestructive vibrational method employing a laser Doppler vibrometer (LDV) was used for measuring the second resonance frequency (f2) of the persimmon samples. The changes in the EI of both cultivars showed quasi-exponential decays. An improved texture measurement device was used for measuring the TI of the cultivars. The TI was defined by ( 1 / T ) ∑ | V i | , where T (s) is the sampling Period and Vi (V), the amplitude of each data point. The pattern of time-course changes in TI differed between “Taishuu” and “Fuyu” persimmons; a sharp decline was observed in the TI of “Fuyu.” Along with the sensory test, we determined the optimum eating ripeness of persimmons in terms of their EI to be 2.9–6.0 × 104 kg2/3 Hz2 (“Taishuu”) and 4.8–6.4 × 104 kg2/3 Hz2 (“Fuyu”).