Modelling the Effect of Fruit Growth on Surface Conductance to Water Vapour Diffusion

Gibert, Caroline; Lescourret, Françoise; Génard, Michel; Vercambre, Gilles; Pérez‐Pastor, Alejandro

doi:10.1093/aob/mci067

Cited by 55 publications

(40 citation statements)

References 35 publications

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“…With the aim to score separately the resistance of skin and flesh, uninjured and artificially injured fruit inoculations were carried out, hereon SK and FL, respectively. SK treatment was performed by applying 10 μl of spore suspension to the surface of the center of the sun-exposed fruit cheek, where fruit cracks are lower than in pedicel and stylar regions (Gibert et al 2005). FL treatment was accomplished by creating an artificial wound in the center of the fruit, 2 mm deep, with a 1-mmthick sterile needle and immediately inoculating in the same way as SK.…”

Section: Plant Materialsmentioning

confidence: 99%

“…SK assays were designed in order to represent infection of BR on fruit skin occurring in uniform conditions of humidity, temperature, fruit ripening stage, and inoculum quantity and strain. The observed variation across years of phenotyping can be due to environmental factors influencing fruit barrier efficiency (Gibert et al 2005;Gibert et al 2009;Measham et al 2009). Since C-if infections are the result of the presence of natural inoculum on the studied fruits, in this treatment, environmental variability is also influencing fungal pathogenicity (Tian and Bertolini 1999), and thus, low seasonal correlations should be expected.…”

Section: Response To Br Infection In Peachmentioning

confidence: 99%

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QTL mapping for brown rot (Monilinia fructigena) resistance in an intraspecific peach (Prunus persica L. Batsch) F1 progeny

Pacheco

Bassi

Eduardo

et al. 2014

Tree Genetics & Genomes

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Brown rot (BR) caused by Monilinia spp. leads to significant post-harvest losses in stone fruit production, especially peach. Previous genetic analyses in peach progenies suggested that BR resistance segregates as a quantitative trait. In order to uncover genomic regions associated with this trait and identify molecular markers for assisted selection (MAS) in peach, an F1 progeny from the cross "Contender" (C, resistant)×"Elegant Lady" (EL, susceptible) was chosen for quantitative trait loci (QTL) analysis. Over two phenotyping seasons, skin (SK) and flesh (FL) artificial infections were performed on fruits using a Monilinia fructigena isolate. For each treatment, infection frequency (if) and average rot diameter (rd) were scored. Significant seasonal and intertrait correlations were found. Maturity date (MD) was significantly correlated with disease impact. Sixty-three simple sequence repeats (SSRs) plus 26 single-nucleotide polymorphism (SNP) markers were used to genotype the C×EL population and to construct a linkage map. C×EL map included the eight Prunus linkage groups (LG), spanning 572.92 cM, with an average interval distance of 6.9 cM, covering 78.73 % of the peach genome (V1.0). Multiple QTL mapping analysis including MD trait as covariate uncovered three genomic regions associated with BR resistance in the two phenotyping seasons: one containing QTLs for SK resistance traits near M1a (LG C× EL-2, R 2 =13.1-31.5 %) and EPPISF032 (LG C×EL-4, R 2 = 11-14 %) and the others containing QTLs for FL resistance, near markers SNP_IGA_320761 and SNP_IGA_321601 (LG3, R 2 =3.0-11.0 %). These results suggest that in the C× EL F1 progeny, skin resistance to fungal penetration and flesh resistance to rot spread are distinguishable mechanisms constituting BR resistance trait, associated with different genomic regions. Discovered QTLs and their associated markers could assist selection of new cultivars with enhanced resistance to Monilinia spp. in fruit.

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Section: Plant Materialsmentioning

confidence: 99%

Section: Response To Br Infection In Peachmentioning

confidence: 99%

QTL mapping for brown rot (Monilinia fructigena) resistance in an intraspecific peach (Prunus persica L. Batsch) F1 progeny

Pacheco

Bassi

Eduardo

et al. 2014

Tree Genetics & Genomes

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“…Experiments were performed in 2003 on trees grafted on GF 677 rootstock planted in 1999 and cultivated outdoors in 110-L containers. The trees were goblet-trained and received routine horticultural care (Gibert et al 2005). Full bloom occurred on March 24.…”

Section: Experimental Datamentioning

confidence: 99%

QualiTree, a virtual fruit tree to study the management of fruit quality. II. Parameterisation for peach, analysis of growth-related processes and agronomic scenarios

Mirás-Avalos

Egea

Nicolás

et al. 2011

Trees

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In this paper, QualiTree, a fruit tree model designed to study the management of fruit quality, and developed and described in a companion paper (Lescourret et al. in Trees Struct Funct, 2010), was combined with a simple light-interception sub-model, and then parameterised and tested on peach in different situations. Simulation outputs displayed fairly good agreement with the observed data concerning mean fruit and vegetative growth. The variability over time of fruit and vegetative growth was well predicted. QualiTree was able to reproduce the observed response of trees to heterogeneous thinning treatments in terms of fruit growth. A sensitivity analysis showed that the average seasonal growth rates of the different organs were sensitive to changes to the values of their respective initial relative growth rates and that stem wood was the tree organ the most affected by a change in the initial relative growth rates of other organs. QualiTree was able to react to simulated scenarios that combined thinning and pest attacks. As expected, thinning intensity and the percentage damage caused by pests significantly affected fruit yield and quality traits at harvest. These simulations showed that QualiTree could be a useful tool to design innovative horticultural practices.

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“…Our results are in agreement with those obtained by Gibert et al (2009) who found a relationship between the fruit size and its susceptibility to brown rot infection. In the case of high growth rates, it is likely that the pulp expansion rate exceeds the cuticle expansion rate (Gibert et al, 2005) and results in cuticular cracking which makes fruits more susceptible to the brown rot infection. A similar pattern seems to hold for different fruit tree species (Fourie and Holz, 2003) as pre-harvest cuticle cracks, FIGURE 4 | Rain (mm) and average daily temperature T ( • C) along Julian day left column.…”

Section: Discussionmentioning

confidence: 99%

The Crop Load Affects Brown Rot Progression in Fruit Orchards: High Fruit Densities Facilitate Fruit Exposure to Spores but Reduce the Infection Rate by Decreasing Fruit Growth and Cuticle Cracking

et al. 2018

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Brown rot, triggered by Monilinia spp., causes significant economic losses in fruit crop and it is mainly controlled by chemicals with inherent environmental costs. Controlling brown rot spreading by diminishing fruit susceptibility to the disease, via sustainable cultural practices, is a promising approach. In a 2 years experiment (2014-2015) on a peach (Prunus persica) orchard, we controlled fruit growth rates by varying the fruit load. Fruit thinning practices enhanced the fruit growth and laboratory analyses showed that, in both 2014 and 2015 samples, fast growing fruits were more susceptible to infection when in contact with conidia suspension of Monilinia laxa. In the field, brown rot infection took place in 2014 and not in 2015. In 2014, trees subject to moderate thinning intensities had the highest brown rot incidence. We argue that this is due to the fact that, for null thinning, slow growing fruits are less susceptible to the infection while, for intense thinning, even if faster growing fruits are more susceptible to infection, the lower fruits density reduces per-contact probability of infection. We compared meteorological data of 2014 and 2015 and we argue that brown rot did not spread in 2015 due to an absence of favorable conditions, summarized as the number of rainy days with mean temperature between 22 and 26 • C, in the period of fruit susceptibility.

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Modelling the Effect of Fruit Growth on Surface Conductance to Water Vapour Diffusion

Abstract: By predicting crack occurrence during fruit growth, this model could be helpful in managing cropping practices for integrated plant protection.

Cited by 55 publications

References 35 publications

QTL mapping for brown rot (Monilinia fructigena) resistance in an intraspecific peach (Prunus persica L. Batsch) F1 progeny

QTL mapping for brown rot (Monilinia fructigena) resistance in an intraspecific peach (Prunus persica L. Batsch) F1 progeny

QualiTree, a virtual fruit tree to study the management of fruit quality. II. Parameterisation for peach, analysis of growth-related processes and agronomic scenarios

The Crop Load Affects Brown Rot Progression in Fruit Orchards: High Fruit Densities Facilitate Fruit Exposure to Spores but Reduce the Infection Rate by Decreasing Fruit Growth and Cuticle Cracking

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