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Penicillium frequentans - Monilinia

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Effects of different biological formulations of <strong>Penicillium</strong> <strong>frequentans</strong><br />

on brown rot of peaches<br />

Abstract<br />

B. Guijarro a , P. Melgarejo a, *, R. Torres b , N. Lamarca b , J. Usall b , A. De Cal a<br />

a Department of Plant Protection, INIA, Ctra. de La Coruña km. 7, 28040 Madrid, Spain<br />

b Area de Postcosecha, IRTA, Avda, Alcalde Rovira Roure 177, 25198 Lleida, Spain<br />

Received 26 January 2007; accepted 30 March 2007<br />

Available online 7 April 2007<br />

Four wettable powder formulations of <strong>Penicillium</strong> <strong>frequentans</strong> conidia with measurable viability of one year and an improved adherence<br />

to peach surfaces were produced by the addition of various ingredients, in two separate steps of the production and drying processes,<br />

to conidia. These formulations were then evaluated against brown rot of peach fruit caused by <strong>Monilinia</strong> spp. Formulations<br />

were applied to fruit either as postharvest treatments or before harvest in field treatments to peach trees. In the case of postharvest treatments<br />

to fruit, reductions of brown rot were obtained with all P. <strong>frequentans</strong> formulations. Treatments applied before harvest were tested<br />

in six field experiments in peach orchards in Spain. A total of 100 fruits, randomly selected in each orchard, were used as the sample unit<br />

and every treatment was repeated four times. Results showed that P. <strong>frequentans</strong> formulations significantly reduced the inoculum density<br />

of the pathogen (measured as the number of conidia on peach surface) in five trials out of the six tested, better than a chemical fungicide<br />

that only showed a reduction of the pathogen conidial in two of the six trials. The relationship between the number of conidia of the<br />

pathogen and the incidence of brown rot disease is discussed.<br />

Ó 2007 Elsevier Inc. All rights reserved.<br />

Keywords: Biocontrol; Formulation; <strong>Monilinia</strong> laxa; M. fructigena; M. fructicola; <strong>Penicillium</strong> <strong>frequentans</strong>; Peach; Postharvest; Prunus persica<br />

1. Introduction<br />

Brown rot of peaches (Prunus persica (L.) Batch) is<br />

caused in the European Mediterranean areas by two fungi,<br />

<strong>Monilinia</strong> laxa (Aderh et Rulh) Honey and <strong>Monilinia</strong> fructigena<br />

(Aderhold et Ruhl) Honey ex Whetzel (De Cal and<br />

Melgarejo, 1999). M. laxa is the most common species isolated<br />

from brown rot peaches and nectarines (isolated from<br />

85–90% brown rot fruit) in Spain and Italy (Tian and Bertolini,<br />

1999; Larena et al., 2005), followed by M. fructigena<br />

(isolated from 10–15% of fruit affected by brown rot)<br />

(Larena et al., 2005). Ripening fruits are the most susceptible<br />

developmental stage (Xu et al., 2007), but the infections<br />

may also be numerous in opening flowers (Watson et al.,<br />

2002; Fourie and Holz, 2003). Conidia produced on over-<br />

* Corresponding author. Fax: +34 1 3475722.<br />

E-mail address: melgar@inia.es (P. Melgarejo).<br />

1049-9644/$ - see front matter Ó 2007 Elsevier Inc. All rights reserved.<br />

doi:10.1016/j.biocontrol.2007.03.014<br />

Biological Control 42 (2007) 86–96<br />

www.elsevier.com/locate/ybcon<br />

wintering fruit mummies, fruit stalks, scars, and buds, as<br />

well as in cankerous lesions (Byrde and Willetts, 1977;<br />

Batra, 1985) infected by <strong>Monilinia</strong> spp. serve as primary<br />

inoculum sources and cause blossom blight in the spring<br />

(Byrde and Willetts, 1977). Infection of fruit by conidia<br />

of these two fungi on infected blossoms, mummies, aborted<br />

fruit, or other diseased tissues occurs secondarily during<br />

the growing season, depending on weather conditions<br />

(Byrde and Willetts, 1977; Borve and Stensvand, 2004).<br />

When microclimatic conditions are unfavourable, infections<br />

may remain latent until conditions become favourable<br />

for disease expression, which finally lead to fruit rot<br />

(Byrde and Willetts, 1977). Postharvest losses are typically<br />

more severe than preharvest losses and routinely occur during<br />

storage and transport (Ogawa and English, 1991).<br />

When conditions are favourable for disease development,<br />

postharvest losses may be high, reaching in some cases<br />

values of 80–90% (Hong et al., 1997, 1998).


Management of postharvest brown rot decay of peaches<br />

and nectarines begins with preharvest disease control programs.<br />

Currently, the most effective programs rely on the<br />

use of fungicides applied during bloom and preharvest, as<br />

well as postharvest fungicide treatments in those countries<br />

where they are allowed. Chemical control of brown rot in<br />

peach growing Mediterranean areas is done by applying<br />

benzimidazole, dicarboximide, or IBS fungicides (Hong<br />

et al., 1998) as preharvest treatments. With the development<br />

of integrated production systems in the various European<br />

peach growing regions (as in Spain or Italy),<br />

postharvest fungicide applications are no longer allowed<br />

(Malavolta et al., 2003). In addition, resistance to benzimidazole<br />

and dicarboximide fungicides is well documented<br />

in <strong>Monilinia</strong> spp., especially in M. fructicola populations<br />

(Penrose et al., 1979; Penrose, 1990; Elmer and Gaunt,<br />

1993; Sanoamuang and Gaunt, 1995). New environmentally<br />

friendly alternative control methods are being sought<br />

based on the demands of consumers and environmental<br />

protection agencies.<br />

Biological control of plant disease is currently receiving<br />

increased research effort in order to enhance the sustainability<br />

of agricultural production systems and to reduce<br />

the use of chemical pesticides in these systems (Johnson,<br />

1994). Postharvest inoculants are among the market leaders<br />

of plant disease biocontrol agents, since storage conditions<br />

tend to be near constant and well defined, facilitating<br />

the selection of adapted antagonists for consistent performance.<br />

However, in the case of preharvest applications<br />

many microorganisms with good potential fail to be developed<br />

for practical use, primarily due to inconsistent performance<br />

associated with storage and, often, with adverse<br />

environmental conditions (Cartwright and Benson, 1995).<br />

Several factors determine the success of an antagonist<br />

including the ability to compete with other microorganisms,<br />

unfavourable or fluctuating moisture levels, availability<br />

of nutrients, shelf-life, storage methods, the<br />

concentration of antagonist used, and timing and method<br />

of application (Baker and Cook, 1974; Campbell, 1989).<br />

The potential of <strong>Penicillium</strong> <strong>frequentans</strong> (Westling), a<br />

component of the resident mycoflora of peach twigs and<br />

flowers (Melgarejo et al., 1985), for biological control of<br />

peach twig blight caused by M. laxa, has been demonstrated<br />

in the field in experimental orchards after artificial<br />

inoculation of the pathogen (Melgarejo et al., 1986; De<br />

Cal et al., 1990; Madrigal et al., 1994). P. <strong>frequentans</strong> has<br />

also been used experimentally for biocontrol of other diseases<br />

(Roberti et al., 2002; Yamaji et al., 2005). Recently,<br />

De Cal et al. (2002) developed a mass production method<br />

for P. <strong>frequentans</strong> conidia by solid-state fermentation.<br />

The conidia that were dried by fluid bed-drying, maintained<br />

28% viability after 180 days of storage at room temperature,<br />

and were as efficient as fresh conidia in<br />

controlling brown rot of peaches (Guijarro et al., 2006).<br />

A statistically significant relationship between biocontrol<br />

efficacy of P. <strong>frequentans</strong> and conidial viability was demonstrated<br />

by Guijarro et al. (2007): conidial viability of P. fre-<br />

B. Guijarro et al. / Biological Control 42 (2007) 86–96 87<br />

quentans greater than 40% was needed for obtaining more<br />

than 50% biocontrol (Guijarro et al., 2007). It is necessary<br />

to add additives to conidia produced in solid-state fermentation<br />

and dried afterwards to improve the shelf-life of P.<br />

<strong>frequentans</strong> conidia and to obtain a high levels of effectiveness<br />

in controlling brown rot of stone fruits (Guijarro<br />

et al., 2007). Initially, adherents were added to conidia in<br />

order to improve P. <strong>frequentans</strong> adhesion to fruit surfaces,<br />

and effectiveness in controlling brown rot of stone fruit was<br />

also improved (Guijarro et al., unpublished). Additional<br />

improvements in formulation and methods of application<br />

of formulated P. <strong>frequentans</strong> conidia will be needed before<br />

this organism can be developed into a commercial product,<br />

nevertheless, P. <strong>frequentans</strong> is a promising biological control<br />

agent for brown rot and peach twig blight (Melgarejo<br />

et al., 1986; De Cal et al., 1990, 2002; Guijarro et al., 2006,<br />

2007).<br />

The main objective of this study was to investigate the<br />

viability, stability, and adhesion of spores in several formulations<br />

of P. <strong>frequentans</strong> to achieve control brown rot.<br />

Reductions in the incidence of brown rot were obtained<br />

after postharvest application of several formulations.<br />

Reduction of inoculum density (the number of conidia on<br />

fruit surfaces) was also obtained after preharvest<br />

applications.<br />

2. Materials and methods<br />

2.1. Cultures<br />

The isolate of P. <strong>frequentans</strong> (ATCC number 66108) was<br />

obtained from the mycoflora of peach twigs and flowers in<br />

Spain (Melgarejo et al., 1985). The fungi were stored on<br />

potato dextrose agar (PDA) (Difco, Detroit, MI, USA)<br />

slants at 4 °C and grown in darkness at 22 ± 2 °C for 5<br />

days for conidial inocula production.<br />

An isolate of M. laxa (ATCC number 66106) collected<br />

from a commercial apricot orchard in Almonacid de la<br />

Sierra (Zaragoza, Spain), was used in in vivo experiments.<br />

This isolate was cultured on Petri dishes containing potato<br />

dextrose agar (Difco, Detroit, MI, USA) amended with 1%<br />

v/v acetone as described (Pascual et al., 1990). The dishes<br />

were incubated at 22 ± 2 °C for 7–15 days in the dark.<br />

Ten millilitres of sterile distilled water were poured into<br />

each Petri dish to harvest conidia. Conidia suspensions<br />

were filtered through glass wool before inoculations and<br />

were adjusted to 10 3 conidia ml 1 .<br />

2.2. Formulations of P. <strong>frequentans</strong><br />

Conidia of P. <strong>frequentans</strong> were produced in a solid fermentation<br />

system as previously described (De Cal et al.,<br />

2002). The fungus was grown on a mixture of peat (Gebr.<br />

BRILL substrate GmbH&Co. KG, Germany): vermiculite<br />

(Termita, Asfaltex, S.A., Barcelona, Spain): and lentil meal<br />

(2:2:1, w:w:w). Five hundred grams of the substrate (40%<br />

moisture content) were placed in a plastic bag (600 cm 3 )


88 B. Guijarro et al. / Biological Control 42 (2007) 86–96<br />

especially designed for solid fermentation (Valmic R Spawn<br />

Bag, Sacherei de Pont-Audemer S.A., Pont-Audemer<br />

Cedex, France), sealed, and sterilized by autoclaving at<br />

1.2 kg cm 2 and 120 °C for 1 h on three consecutive days.<br />

Bags were then inoculated with a conidial suspension of<br />

P. <strong>frequentans</strong> in sterile distilled water, to obtain 10 5 conidia<br />

g 1 dry substrate, sealed again and incubated in darkness<br />

at 20–25 °C for five days. Conidia were obtained from<br />

solid fermentation bags by suspending the infested substrate<br />

in sterile water. Suspensions of conidia from solid<br />

fermentation were then shaken in a rotary shaker (Lab-<br />

Line Instruments, Inc., model 3527, Melrose Park, IL,<br />

USA) at 160 rpm for 30 min, filtered through glass wool,<br />

washed with sterile distilled water, and concentrated by<br />

centrifugation at 10,000 rpm (Sorvall RC5C Plus, GMI,<br />

MN, USA) for 10 min, giving pellets of fresh conidia.<br />

The final yield was 10 8–9 conidia g 1 dry weight of substrate<br />

with viability higher than 80% (De Cal et al., 2002).<br />

Conidia were dried in a fluid bed-dryer to reduce the<br />

moisture content below 15%. Freshly harvested conidia<br />

were resuspended in sterile distilled water and filtered<br />

through 1 lm filter paper in a Büchner funnel (Guijarro<br />

et al., 2006). This conidial paste was introduced in a fluid<br />

bed-dryer (FBD model 350s, Burkard Manufacturing Co.<br />

Ltd., Hertfordshire, UK) at the highest air flow rate at<br />

40 °C (Guijarro et al., 2006). The moisture content of each<br />

final product of conidia was measured using a humidity<br />

analyzer (BOECKEL, GmbH+Co., Hamburg, Germany).<br />

Germination of dried conidia was tested by the bioassay<br />

described in Guijarro et al. (2006), always resulting above<br />

80%. Fresh conidia resuspended in water and dried were<br />

named FCW.<br />

Four formulations of P. <strong>frequentans</strong> (FOR 3, FOR 4,<br />

FOR7, and FOR8) were produced. Formulations FOR3,<br />

FOR4, and FOR7 were obtained as follows: suspensions<br />

of P. <strong>frequentans</strong> conidia (10 5 conidia g 1 dry substrate)<br />

were prepared in 10% glycerine (FOR3) and 2% sodium<br />

alginate (FOR4 and FOR7) and added to substrate contained<br />

in fermentation bags. After incubation, fresh conidia<br />

were obtained as described above, and then<br />

resuspended in 2% methyl cellulose. After maintaining<br />

these suspensions for 10 min at room temperature, silica<br />

gel (FOR3 and FOR7) or kaolinite (FOR4) were added to<br />

obtain conidial pastes. In the case of FOR8, fresh conidia<br />

were produced as described above without additives and<br />

resuspended in 2% methyl cellulose + 10% glucose and<br />

incubated for 10 min. Then, the silica gel was added to<br />

obtain a paste. All conidial pastes were introduced into a<br />

fluidized bed-dryer, and dried, as previously described<br />

(Guijarro et al., 2006). As a positive control of adherence<br />

1.3% of a commercial adhesive (96% di-menteno, Nufilm-17<br />

(Miller Chemical and Fertilizer Co., Hanover,<br />

Pennsylvania, USA) was used. Fresh conidia were resuspended<br />

in 5 ml solution of Nu-film-17, and shaken on a<br />

vortex mixer (Reax Top, Heildoph, Rose Scientific Ltd.<br />

Alta., Canada). Conidial suspensions were then filtered<br />

through 1 lm filter paper in a Büchner funnel, giving a<br />

conidial paste. Conidial pastes were dried in a fluid beddryer.<br />

2.3. Viability and adhesion of P. <strong>frequentans</strong> formulations<br />

under different storage conditions<br />

To monitor the shelf-life of P. <strong>frequentans</strong>, formulations<br />

were stored in different conditions. Each formulation was<br />

stored in Eppendorff microfuge tubes at 4 °C or at room<br />

temperature (ambient), and under vacuum or without vacuum<br />

(three replicates for each combination). Three formulations<br />

were tested: FOR3, FOR7, and FOR8, and FCW<br />

conidia without additives were used as control. Conidia<br />

were packaged under vacuum using a vacuum chamber<br />

machine (Audionvac Elektro VM 101 H, AJ WEESP,<br />

The Netherlands) (at 0.96 · 10 6 Pa for 90 s). Conidial viability<br />

was estimated by measuring germination according<br />

to the bioassay described by De Cal et al. (1988) immediately<br />

after fluid bed-drying and again after 30, 90, 180,<br />

and 365 days of storage. Conidia were resuspended in sterile<br />

distilled water to obtain concentrations of 1 · 10 6<br />

conidia ml 1 , shaken in a laboratory mixer (MS 2 Minishaker<br />

Ika-Works, Inc., USA) operated at full speed<br />

(2500 rpm) for 1 min and then incubated at room temperature<br />

(25 °C) for 1 h. After 1 h sterile glass slides were<br />

placed in glass 15-mm diameter Petri dishes lined with<br />

moistened Whatman paper. On each slide, a 15 ll droplet<br />

of diluted conidial suspension of P. <strong>frequentans</strong> (10 6<br />

conidia ml 1 ) was mixed with a 30 ll droplet of sterile Czapek<br />

broth (Difco, Detroit, MI, USA). Slides were incubated<br />

for 16 h at 20–25 °C in darkness, after which the<br />

germination of 50 conidia was assessed in each replicate.<br />

Three drops were made for each sample, and the whole<br />

experiment was repeated twice. A spore was considered<br />

to have germinated when a germ-tube was longer than<br />

the length of the spore. The moisture content of each sample<br />

was measured using a humidity analyzer during the<br />

storage period of all formulations.<br />

An experiment was performed to evaluate the effect of<br />

the age of conidia and shelf-life of different P. <strong>frequentans</strong><br />

conidial formulations on adhesion to peach fruit<br />

surfaces. Surface-sterilized peach fruit (as described by<br />

Sauer and Burroughs, 1986) were placed in 100 ml of<br />

the different formulation suspensions at a final concentration<br />

of 10 7 conidia ml 1 (Guijarro et al., unpublished).<br />

Peaches were shaken for 30 min at 130 rpm, and then air<br />

dried at room temperature for 5 min. After drying, each<br />

peach was placed in 100 ml sterile distilled water, sonicated<br />

for 45 s (Ultrason Bath, JP. Selecta, Barcelona,<br />

Spain), and shaken on a vortex mixer (Reax Top, Heildoph,<br />

Rose Scientific Ltd. Alta., Canada) for 10 s. Spores<br />

in the resulting suspensions were concentrated by centrifugation<br />

for 10 min at 10,000 rpm after removing the<br />

peaches. Pellets were resuspended in 5 ml sterile distilled<br />

water, where the number of conidia and colony forming<br />

units (cfu) of P. <strong>frequentans</strong> were estimated as described<br />

below.


Adhesion of P. <strong>frequentans</strong> conidia to the surface of peaches<br />

was measured as the number of conidia (no. conidia<br />

cm 2 of fruit) and colony forming units (cfu cm 2 of fruit)<br />

(to estimate conidial viability). Numbers of P. <strong>frequentans</strong><br />

conidia were counted in a haematocytometer (Neubauer<br />

improved, 0.100 mm depth, 0.0025 mm 2 , Assistant, Soonheim,<br />

Germany) under a light microscope (100·) (Carl<br />

Zeiss Mikroskopie, D-07740 Jena GmbH, Germany). Four<br />

haematocytometer fields were counted per peach. The cfu<br />

of P. <strong>frequentans</strong> were estimated on Petri dishes containing<br />

PDA. Five Petri dishes were incubated per peach at<br />

20–22 °C for 4–5 days before counting the colonies. Three<br />

peaches were used for each conidial suspension. Three formulations<br />

were tested (FOR3, FOR7, and FOR8) immediately<br />

after drying and after 365 day of storage at room<br />

temperature. FCW conidia without additives and conidia<br />

with 1.3% v/v Nufilm, were used as controls. The complete<br />

experiment was conducted twice.<br />

2.4. Biocontrol efficacy of P. <strong>frequentans</strong> formulations at<br />

postharvest<br />

Two experiments were carried out on healthy peaches to<br />

evaluate the biocontrol efficacy of the three conidial formulations<br />

(FOR 3, FOR 7, and FOR 8) following storage for<br />

270 days at room temperature. Healthy peaches, surface<br />

sterilized as recommended by Sauer and Burroughs<br />

(1986), were used. After sterilization, the surfaces of<br />

the peaches were dried by sterile air in a flow-cabinet for<br />

two hours. Three one mm 3 artificial wounds, two cm away<br />

from each other, were made in the fruit surface with a flame<br />

sterilized nail. Fruit were sprayed with 10 ml of a conidial<br />

suspension of each P. <strong>frequentans</strong> formulation (10 6 conidia<br />

ml 1 ) in sterile distilled water. FCW conidia stored<br />

for 270 days were used as controls. Fruit surfaces were<br />

allowed to air dry for 2 h and 10 ml of a conidial suspension<br />

of M. laxa (10 3 conidia ml 1 ) were sprayed onto each<br />

peach. Control treatments were: C1) fruit inoculated with<br />

M. laxa and not treated with P. <strong>frequentans</strong>; and C2) fruit<br />

not inoculated with either M. laxa or P. <strong>frequentans</strong>. To<br />

maintain high humidity, each inoculated fruit was placed<br />

on a dry dish in plastic trays lined with moistened paper.<br />

Trays were covered with a plastic film for 4–7 days at<br />

22 °C in the dark. After incubation, disease incidence (as<br />

percentage of rotten wounds caused by M. laxa in peaches)<br />

was recorded (De Cal et al., 2002). Three wounds were<br />

made per peach and ten peaches were used per treatment.<br />

The experiments were repeated twice. Data are given as<br />

the mean of disease incidence of 20 fruit since data of the<br />

two experiments were pooled and analyzed together.<br />

2.5. Biocontrol efficacy of P. <strong>frequentans</strong> formulations in<br />

field experiments<br />

Six field experiments were carried out in commercial<br />

peach orchards located in Sudanell and Alfarrás (Lleida,<br />

Spain) over three growing seasons from 2003 to 2005 to<br />

B. Guijarro et al. / Biological Control 42 (2007) 86–96 89<br />

evaluate the effect of P. <strong>frequentans</strong> treatments on the incidence<br />

of postharvest brown rot; latent infection caused by<br />

<strong>Monilinia</strong> spp.; and number of conidia of the pathogen on<br />

peach surfaces. Trees were selected at random in each orchard<br />

for each treatment. Three consecutive trees were used<br />

as the sample unit and every treatment was repeated four<br />

times. Two guard trees were used to separate sample units<br />

to avoid spray drift. Cultivars grown in orchards were: nectarine<br />

‘‘Autumn Free’’ in Sudanell 2003 (SU03), 2004<br />

(SU04), and 2005 (SU05), and peach ‘‘Rojo Septiembre’’<br />

in Alfarrás 2003 (ALF03), 2004 (ALF04), and 2005<br />

(ALF05).<br />

Different P. <strong>frequentans</strong> treatments were applied in each<br />

orchard and in each year at a concentration of 10 7 conidia<br />

ml 1 in a standard schedule as recommended to control<br />

brown rot: at bloom, shuck split, pit hardening and/<br />

or preharvest. Two formulations of P. <strong>frequentans</strong> (FOR 3<br />

and FOR4) were applied five times (once at pink blossom,<br />

once at pit hardening and three times at preharvest) in<br />

experiments ALF03 and SU03 in 2003. Three formulations<br />

of P. <strong>frequentans</strong> (FOR3, FOR7, and FOR8) were applied<br />

five times (once at pink blossom, once at shuck split, once<br />

at pit hardening and two times at preharvest) in experiments<br />

ALF04 and SU04 in 2004. Formulation FOR 8 was<br />

applied five times (once at pink blossom, once at shuck<br />

split, once at pit hardening and two times at preharvest)<br />

in experiment ALF05, or (three times at pit hardening<br />

and two times at preharvest) and SU05 in 2005. Application<br />

dates were: 17 March, 15 May and 5, 10, 16 September<br />

2003 in ALF03; 9 March, 15 May, 22 and 28 August, and 2<br />

September 2003 in SU03; 19 March, 23 April, 11 June, and<br />

7, 14 September 2004 in ALF04; 4 March, 15 April, 29<br />

May, 27 August and 3 September 2004 in SU04; 29 March,<br />

27 April, 12 June, and 7, 14 September 2005 in ALF05; and<br />

29 May, 5 and 15 June, and 10, 30 August 2005 in SU05.<br />

Harvest date were 18 September in ALF03, 7 September<br />

in SU03, 22 September in ALF04, 12 September in SU04,<br />

21 September in ALF05, and 5 September in SU05. All<br />

treatments were applied with a backpack sprayer (operating<br />

pressure 10 6 Pa, hollow cone nozzle 1 mm) in the morning.<br />

Orchards received the recommended cultural and crop<br />

protection practices for each location.<br />

Control treatments were trees treated with fungicides or<br />

untreated in each orchard. Fungicides used were: Caddy<br />

Pepite 10 (ciproconazole 10% WG, Bayer Cropscience,<br />

S.L. Valencia, Spain) in trials ALF03, ALF04, SU03, and<br />

SU04; and Folicur 25RW (tebuconazole 25% WG, Bayer<br />

Hispania Industrial, S.A., Barcelona, Spain) in trials<br />

ALF05 and SU05. Chemical treatments were applied at<br />

the same dates as biologicals at pink blossom, shuck split,<br />

and/or pit hardening, but only once 21 days before harvest.<br />

To compare <strong>Monilinia</strong> spp. populations on peach<br />

surfaces for each treatment, 10 flowers or five fruits per<br />

sample unit were sampled 10, 11, and 12 times in 2003,<br />

2004, and 2005, respectively, in each orchard. Each sample<br />

(10 flowers or five fruits per treatment and replicate) were<br />

suspended in sterile distilled water (SDW), shaken for


90 B. Guijarro et al. / Biological Control 42 (2007) 86–96<br />

30 min at 150 rpm; concentrated by centrifugation 10 min<br />

at 14,040g, and resuspended in 5 ml SDW. <strong>Monilinia</strong> spp.<br />

conidia were estimated as the number of <strong>Monilinia</strong> spp.<br />

conidia per flower or fruit. Numbers of <strong>Monilinia</strong> spp. conidia<br />

were counted in a haematocytometer under a light<br />

microscope (100·) as described above.<br />

One hundred asymptomatic fruits per sample unit were<br />

randomly picked by hand on the commercial harvest date<br />

for each location. Each sample (100 fruit per treatment<br />

and replicate) were placed in five packing trays, each containing<br />

20 fruits. All of them were placed in a box and<br />

stored at 20 °C and 85% RH for seven days when the percentage<br />

of brown rot was visually assessed and recorded.<br />

At this time cross-infections did not occur because it takes<br />

seven days for conidia of <strong>Monilinia</strong> spp. to germinate, produce<br />

mycelia, and sporulate (Byrde and Willetts, 1977).<br />

The presence of conidia sporulating on lesions was necessary<br />

to confirm that symptomatic fruits were infected with<br />

<strong>Monilinia</strong> spp.<br />

2.6. Data analysis<br />

Data were analyzed by analysis of variance. Prior to<br />

analysis, data of number P. <strong>frequentans</strong> conidia per cm 2 ,<br />

cfu of P. <strong>frequentans</strong> per cm 2 , and number of <strong>Monilinia</strong><br />

spp. conidia per flower or fruit were log10-transformed to<br />

improve homogeneity of variances. When F-test was significant<br />

at P = 0.05, means were compared by Student–Newman–Keul’s<br />

multiple range test (Snedecor and Cochram,<br />

1980), and number of <strong>Monilinia</strong> spp. conidia per flower<br />

or fruit from field experiments were analyzed independently<br />

by contrast with the F test at significance levels of<br />

0.05 (Snedecor and Cochram, 1980). Conidial viability of<br />

P. <strong>frequentans</strong> for 0, 30 90 180, and 365 days of storage<br />

gave a viability progress curve, and the area under this<br />

conidial viability progress curve for a year (AUCVPC)<br />

was calculated as described (Campbell and Madden,<br />

1990) using the formula:<br />

AUCVPC ¼<br />

Xn 1<br />

i¼1<br />

ðtiþ1 tiÞðvi þ viþ1Þ<br />

2<br />

where t is days of storage after drying, v is the percentage of<br />

P. <strong>frequentans</strong> conidial viability at each estimation date (i)<br />

and n is the number of estimations. The AUCVPC was calculated<br />

for each P. <strong>frequentans</strong> fomulation using an Excel<br />

spreadsheet. The AUCVPC expressed the dynamic of<br />

conidial viability for one year of storage as a single value<br />

and is useful to compare different viability dynamics. All<br />

the experiments were repeated twice. Since, the second repetition<br />

of the experiment supported the results obtained in<br />

the first, the data were pooled and analyzed together.<br />

3. Results<br />

Conidial moisture content was maintained at a level<br />

lower than 15% at all storage conditions for 360 d,<br />

ð1Þ<br />

although it was slightly less at vacuum. These levels of<br />

conidial moisture content did not affect on conidial viability<br />

in any storage conditions throughout a year.<br />

Conidial viability throughout a year of storage at different<br />

conditions is shown in Fig. 1. Conidial viability of<br />

P. <strong>frequentans</strong> without any additive (FCW) was less than<br />

a<br />

% Viability<br />

b<br />

% Viability<br />

c<br />

% Viability<br />

d<br />

% Viability<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

0 30 90 180 360<br />

0 30 90 180 360<br />

0 30 90 180 360<br />

0 30 90<br />

days after drying<br />

180 360<br />

FOR3 FOR7 FOR8 FCW<br />

Fig. 1. Conidial viability (%) of different P. <strong>frequentans</strong> conidia formulations,<br />

FOR 3 (.--.--.), FOR 7 (-- --), FOR 8 (...), and FCW (—–), along<br />

stored period of 360 day at different temperatures and oxygen conditions:<br />

(a) 20 °C with oxygen; (b) 20 °C without oxygen; (c) 4 °C with oxygen; and<br />

(d) 4 °C without oxygen.


Table 1<br />

Effect of storage conditions on the viability of <strong>Penicillium</strong> <strong>frequentans</strong><br />

conidia (as AUCVPC) after 365 days of storage A<br />

Formulations 22 °C 4 °C<br />

Oxygen Vacuum Oxygen Vacuum<br />

FCW 15,292a 12,415a 17,237a 14,690a<br />

FOR3 20,845c 18,047b 22,837b 21,382b<br />

FOR7 19,588bc 19,567b 26,060c 20,355b<br />

FOR8 17,760b 23,432c 25,572c 26,407c<br />

B<br />

MSEwithin 3.56 · 10 6<br />

0.78 · 10 6<br />

2.98 · 10 6<br />

1.16 · 10 6<br />

A<br />

AUCVPC is the area under conidial viability progress curve for a year.<br />

See Section 2 for details. Means in each column, followed by the same<br />

letter are not significantly different (P = 0.05) by Student–Newman–Keuls<br />

multiple range test. Data are the means of six replicates with 50 conidia<br />

per replicate.<br />

B<br />

MSEwithin, mean square error.<br />

15% after 365 d of storage at room temperature (Fig. 1a),<br />

and lower (P = 0.05) than viability of any formulation in<br />

all storage condition (Fig. 1 and Table 1). Conidial viability<br />

after 365 days of storage at 4 °C was higher than at room<br />

temperature independently of formulation (Fig. 1c and<br />

d). The highest conidial viability after one year of storage<br />

(as AUCVPC) was recorded for formulation FOR8 (Fresh<br />

conidia with 2% methyl cellulose + 10% glucose, and silica<br />

gel before drying) stored at 4 °C at vacuum (Table 1).<br />

Adhesion of conidia to peach surfaces was significantly<br />

(P = 0.05) improved (10-fold) with any formulation or<br />

Nu-film-17 (Table 2). Furthermore, adhesion of conidia<br />

to fruit surfaces was maintained for formulations stored<br />

365 days at room temperature (Table 2).<br />

P. <strong>frequentans</strong> formulations were applied to peaches as<br />

postharvest treatments. Peaches inoculated with M. laxa<br />

showed brown rot symptoms after 4 days of incubation.<br />

The disease incidence on untreated fruit was approximately<br />

62%. All of the formulations, and also FCW, significantly<br />

(P = 0.05) reduced disease incidence by more than 50%<br />

(Table 3).<br />

Postharvest brown rot was very low in all field experiments<br />

(data not shown), ranging from 0.5% in Sudanell<br />

in 2005 to 19% in Alfarras in 2003.<br />

Table 2<br />

Effect of formulations on conidial adhesion of <strong>Penicillium</strong> <strong>frequentans</strong> to fruit surface A<br />

B. Guijarro et al. / Biological Control 42 (2007) 86–96 91<br />

Table 3<br />

Effect of different formulations of <strong>Penicillium</strong> <strong>frequentans</strong> FORx conidia<br />

on disease incidence caused by <strong>Monilinia</strong> laxa on peaches at 4 days after<br />

inoculation in Postharvest experiments A<br />

Treatments B<br />

<strong>Monilinia</strong> laxa<br />

inoculum C<br />

FOR3 1 28b<br />

FOR7 1 32b<br />

FOR8 1 22b<br />

FCW Pf dried storage 1 38b<br />

C1: Pf untreated 1 62c<br />

C2: Pf untreated 0 0a<br />

MSEwithin D<br />

30.0<br />

Disease<br />

incidence (%)<br />

A<br />

Data of disease incidence are the mean of 20 fruit. Means in each<br />

column, followed by the same letter are not significantly different<br />

(P = 0.05) by Student–Newman–Keul’s range test.<br />

B 6<br />

Fruit were sprayed with 10 ml of a conidial suspension (10 conidia<br />

ml 1 ) of each P. <strong>frequentans</strong> formulation (FCW, FOR3, FOR7, and<br />

FOR8) which had been stored for 270 days at room temperature. C1, P.<br />

<strong>frequentans</strong> untreated; C2, P. <strong>frequentans</strong> untreated.<br />

C<br />

(1) Fruit inoculated with 10 ml of a conidial suspension of M. laxa<br />

(10 3 conidia ml -1 ); (0) uninoculated fruit.<br />

D<br />

MSEwithin, error mean square.<br />

The effects of different treatments on the number of<br />

<strong>Monilinia</strong> spp. conidia on peach surfaces are illustrated in<br />

Fig. 2. For clarity, only representative biological formulations<br />

were represented in each trial. The number of <strong>Monilinia</strong><br />

spp. conidia on peach surfaces at harvest is presented in<br />

Table 4. The number of <strong>Monilinia</strong> spp. conidia on non-treated<br />

peach surfaces followed the same pattern in all orchards.<br />

The highest levels of <strong>Monilinia</strong> conidia were observed at harvest,<br />

with another peak at pit hardening (Fig. 2).<br />

Table 5 shows the contrast analysis of different methods<br />

of control (biological and chemical made by grouping the<br />

corresponding groups of treatments) tested in the six trials.<br />

When data from biological treatments were compared with<br />

the untreated control, significant differences (P = 0.05)<br />

were observed in four trials (ALF04, SUD04, ALF05,<br />

and SUD05). However, significant differences were<br />

obtained only in two trials (SUD04, and ALF05) when<br />

Formulations Surface fruit adhesion after fluid bed-drying Surface fruit adhesion 365 days after fluid beddrying<br />

cfu B (cm 2 ) Conidia C (cm 2 ) cfu B (cm 2 ) Conidia C (cm 2 )<br />

FOR3 2891 (3.44)c 166797 (5.22)d 1285 (3.07)bc 330961 (5.35)b<br />

FOR7 1526 (3.15)b 53177 (4.72)b 648 (2.72)ab 208160 (5.22)b<br />

FOR8 4554 (3.66)d 86140 (4.93)c 2497 (3.29)c 120125 (5.07)b<br />

Nufilm 1.3% 2057 (3.31)bc 164931 (5.21)d 1466 (3.13)bc 503935 (5.45)b<br />

Control 228 (2.33)a 12325 (4.08)a 397 (2.44)a 24479 (4.23)a<br />

D<br />

MSEwithin (0.022) (0.0046) (0.103) (0.162)<br />

A<br />

Conidia tested were FORx. Data in parentheses are log10-transformed values. Formulation means in each column, followed by the same letter are not<br />

significantly different (P = 0.05) by Student–Newman multiple range test.<br />

B<br />

Cfu of P. <strong>frequentans</strong> were estimated onto Petri dishes containing potato dextrose agar (PDA). Data are the means of six replicates, with five dishes per<br />

replicate.<br />

C<br />

Number of P. <strong>frequentans</strong> conidia was counted in a haematocytometer under a light microscope (100·). Data are the means of six replicates with four<br />

drops per replicate.<br />

D<br />

MSEwithin, error mean square.


92 B. Guijarro et al. / Biological Control 42 (2007) 86–96<br />

Fig. 2. Population dynamics of <strong>Monilinia</strong> spp. (number of conidia per flower or fruit) on peach surfaces treated with different applications: biological<br />

treatments FOR 3 (d d), FOR 8 (n n); chemical treatment Q (·- ---·) and untreatment NT (s—s) recovered from pink blossom to harvest for<br />

2003–2005 on six orchards of Lleida (Spain) (ALF03, ALF04, ALF05, SUD03, SUD04, and SUD05). Number of <strong>Monilinia</strong> spp. conidia was counted in a<br />

haematocytometer under a light microscope (100·) and are represented on a logarithmic scale. Data are the mean of four replicates, with 10 flowers or 5<br />

fruits per replicate. Application dates for treatments are represented by vertical arrows.<br />

chemical treatments were compared with untreated controls.<br />

Comparisons between biological treatments and<br />

chemical treatments were significant (P = 0.05) in SUD05.<br />

Contrasts were also made among biological formulations<br />

including silica gel (FOR3) versus kaolinite (FOR4)<br />

in ALF03 and SUD03. Significant differences (P = 0.05)


Table 4<br />

Effect of P. <strong>frequentans</strong> formulations on the populations of <strong>Monilinia</strong> spp. (number of conidia per fruit) in different orchards where chemical and biological<br />

treatments were applied along crop during 2003–2005 a<br />

Treatment b<br />

2003 2004 2005<br />

ALF03 SUD03 ALF04 SUD04 ALF05 SUD05<br />

FOR3 42,969 ± 5750 0.0 ± 0.0 2930 ± 1870 4883 ± 1224 — —<br />

FOR4 59,570 ± 6046 6835 ± 3335 — — — —<br />

FOR7 — — 4883 ± 976 — — —<br />

FOR8 — — 0.0 ± 0.0 1953 ± 738 4400 ± 1871 488 ± 488<br />

Chemical 39,062 ± 5289 2930 ± 1870 4639 ± 2008 2930 ± 1224 4394 ± 2497 5859 ± 1476<br />

Untreated 48,828 ± 6478 6836 ± 4331 24,170 ± 7191 7812 ± 1808 23,926 ± 6196 12,207 ± 3417<br />

a<br />

Data are the mean of four replicates with five fruit per replicate ± standard error of the mean.<br />

b<br />

See Section 2 for details of treatments.<br />

Table 5<br />

Contrast analysis of different methods of control of <strong>Monilinia</strong> spp. in the field experiments of the years 2003, 2004, and 2005 a<br />

Methods of control Trials<br />

2003 2004 2005<br />

ALF03 SUD03 ALF04 SUD04 ALF05 SUD05<br />

Biological versus untreated NS NS * * * *<br />

Chemical versus untreated NS NS NS * * NS<br />

Biological versus chemical NS NS NS NS NS *<br />

Biological with silica gel versus biological with kaolinite ** * — — — —<br />

were obtained in SUD03. Formulations including kaolinite<br />

were not tested in the following years of the study.<br />

4. Discussion<br />

Brown rot of peaches at postharvest can be reduced by<br />

application of fungicides or biological agents either as postharvest<br />

or preharvest treatments. The results of the present<br />

study show that applications of P. <strong>frequentans</strong> formulations<br />

that maintained conidial viability and good adhesion<br />

to peach surfaces after one year of storage reduced brown<br />

rot of peaches when applied as postharvest treatments and<br />

significantly reduced the inoculum density of <strong>Monilinia</strong><br />

spp. at harvest (measured as pathogen conidia on peach<br />

surface) in four field trials out of the six tested when<br />

applied as preharvest treatments. Other fungal biocontrol<br />

agents such as Epicoccum nigrum Link or Metschnikowia<br />

fructicola Kurtzman & Droby also reduced brown rot of<br />

peaches or strawberries, respectively, in storage by preand/or<br />

postharvest applications (Karabulut et al., 2004;<br />

Larena et al., 2005). Infections of stone fruit by <strong>Monilinia</strong><br />

spp. occur mainly before harvest in orchards by air-borne<br />

conidia. Smilanick et al. (1993) reported that postharvest<br />

applications of Pseudomanas corrugata Roberts and Scarlett<br />

and P. cepacia (Burkholder) Palleroni and Holmes gave<br />

poor control of naturally occurring infections of brown rot<br />

on nectarine and peach, and they concluded that early<br />

application of biocontrol agents in the field may enable<br />

early colonization and reduction of latent infections.<br />

Establishment of a biocontrol agent before a pathogen<br />

arrives would appear to be a good strategy to manage in<br />

B. Guijarro et al. / Biological Control 42 (2007) 86–96 93<br />

a *F test significant at P = 0.05; ** F test significant at P = 0.10; NS, not significant at P = 0.05; —, not tested.<br />

preventing fruit from these infections. However establishment<br />

of the biocontrol agent in fruit surface is more difficult<br />

in open air conditions than in conditions found in<br />

confined chambers used for postharvest storage of fruit<br />

(Andrews, 1992; Ippolito and Nigro, 2000). Application<br />

and optimization of biocontrol agents before harvest<br />

requires considerable understanding of the crop system,<br />

pathogen epidemiology, the biology, ecology, and populations<br />

dynamics of the antagonists, and the interactions<br />

among these factors (Adams, 1990; Andrews, 1992).<br />

Improvement of inoculum quality was usually necessary<br />

in preharvest applications of antagonist to achieve success<br />

(Teixido et al., 1998). One way to improve performance of<br />

biocontrol agents is by formulating conidia. Formulations<br />

of conidia of P. <strong>frequentans</strong> to improve fruit adhesion and<br />

conidial viability gave good results in reducing number of<br />

air-borne conidia of <strong>Monilinia</strong> on fruit surface.<br />

The wettable powder formulations of P. <strong>frequentans</strong><br />

applied in this study contained different additives and<br />

two different carriers: silica gel and kaolinite. Carriers are<br />

inert ingredients in the sense that they do not have disease<br />

control capabilities; however, they can profoundly affect<br />

shelf-life and efficacy of the product (Fravel et al., 1998).<br />

Kaolinite and silica gel are two hygroscopic additives<br />

which when mixed with the hydrophobic conidia of P. <strong>frequentans</strong>,<br />

followed by drying, usually were sufficient to permit<br />

wetting of the spores when the mixture is resuspended<br />

in water (Boyette et al., 1991). However, when comparing<br />

biological formulations including silica gel (FOR 3) with<br />

that including kaolinite (FOR 4), significant differences<br />

(P = 0.05) were obtained in one of the two trials tested,


94 B. Guijarro et al. / Biological Control 42 (2007) 86–96<br />

showing an advantage of silica gel versus kaolinite. In addition,<br />

peach fruit treated with FOR4 exhibited white spots<br />

caused by kaolinite, reducing their market value.<br />

The shelf-life of a biological product refers to the period<br />

of time during which the propagules of microbial agent<br />

remain viable and effective (Elzein et al., 2004). Shelf-life<br />

of P. <strong>frequentans</strong> conidia has been correlated with biocontrol<br />

efficacy (Guijarro et al., 2007). There was a statistically<br />

significant relationship between biocontrol efficacy of P.<br />

<strong>frequentans</strong> and conidial viability (P = 0.01). A conidial<br />

viability of P. <strong>frequentans</strong> up to 40% was reported necessary<br />

for obtaining more than 50% biocontrol (Guijarro<br />

et al., 2007). An adequate shelf-life of mycopesticidal product<br />

at room temperature is an essential requirement for<br />

their acceptance and commercialization (Rhodes, 1993;<br />

Jones and Burges, 1998). FOR 3, FOR 7, and FOR 8 maintained<br />

more than 40% viability after 365 days of storage<br />

at 4 °C, but only FOR8 (fresh conidia with 2% methyl cellulose<br />

+ 10% glucose, and silica gel before drying) presented<br />

a conidial viability up to 40% after 365 days of<br />

storage at room temperature. Glucose (7.5%) and carboxymethyl<br />

cellulose (1.5%) have been reported as a stabilizer<br />

and sticker, respectively, of P. <strong>frequentans</strong> conidia<br />

(Guijarro et al., 2007). An enhancement of shelf-life of conidia<br />

was also reported when glucose and methyl cellulose<br />

were added to E. nigrum conidia before drying (Larena<br />

et al., 2007). On the other hand, glycerol, sodium alginate,<br />

and sugars were also added to conidia before drying to<br />

improve P. oxalicum dispersal and to improve wilt reduction<br />

of tomato caused by Fusarium and Verticillium (Sabuquillo<br />

et al., 2005).<br />

Storage temperature is the most important abiotic factor<br />

that affects the shelf-life of biological formulations (Connick<br />

et al., 1997; Elzein et al., 2004) by maintaining them<br />

in a state of low metabolic activity (Elzein et al., 2004). It<br />

is generally postulated that stability for 12–18 month without<br />

refrigeration would be required for general agricultural<br />

markets (Rhodes, 1993), although stability for 3–6 months<br />

would probably be suitable for products produced on contract<br />

for applications at a specific time (Couch and Ignoffo,<br />

1981; McCoy, 1990).<br />

Conidial adhesion to peach surfaces was improved<br />

with each formulation. Adhesion of P. <strong>frequentans</strong> conidia<br />

has been correlated with biocontrol efficacy (Guijarro<br />

et al., unpublished). The adhesion to surfaces was estimated<br />

by two methods; by counting the number of conidia<br />

under a light microscope and by counting the cfus in<br />

Petri dishes on PDA. The number of conidia was always<br />

greater than the number of cfus. These results suggested<br />

that many of the P. <strong>frequentans</strong> conidia estimated on any<br />

surface were not able to grow on PDA after ultrasonication<br />

for 45 s. Self inhibition has been observed when a<br />

high concentration of Trichoderma sp. was used (Sreenivasaprasad<br />

and Manibhushanrao, 1993; Adekunle et al.,<br />

2001).<br />

Experiments carried out in the field resulted in low levels<br />

of brown rot. Reductions of pathogen inoculum densities<br />

on fruit surfaces were observed at harvest. Application of<br />

P. <strong>frequentans</strong> formulations, especially FOR8, significantly<br />

decreased the numbers of <strong>Monilinia</strong> spp. conidia on fruit<br />

surfaces at harvest, when pathogen conidia levels were at<br />

their highest. This occurred in four out of the six experiments.<br />

Although chemical control usually has been<br />

reported as more consistent than biological control of<br />

brown rot (Larena et al., 2005) and other pathogens<br />

(Campbell, 1989), in the present work, chemical control<br />

was significantly different from untreated control in only<br />

two out of the six trials tested. A reason for this result<br />

could be that chemical treatments were applied 21 days<br />

before harvest due to security regulations and deadlines<br />

while biologicals were applied two or three times before<br />

harvest.<br />

This work demonstrates that wettable powder formulations<br />

of P. <strong>frequentans</strong> conidia that maintain a high viability<br />

after one year of storage and good adherence to fruit<br />

surfaces, especially FOR8, can be applied to fruit in postharvest<br />

treatments to reduce brown rot in storage. Applications<br />

of formulations at preharvest resulted in a decrease of<br />

pathogen inoculum density. This result is particularly<br />

important since brown rot incidence of stone fruit caused<br />

by <strong>Monilinia</strong> spp. is mainly dependant on inoculum density<br />

together with climatic factors (temperature and wetness<br />

duration), and fruit maturity (Luo and Michailides, 2001,<br />

Gell et al. unpublished).<br />

Acknowledgments<br />

This work was carried out with financial support from<br />

AGL2002-4396-CO2 (Plan Nacional de I+D+I, Ministerio<br />

de Educación y Ciencia, Spain) and from RTA2005-0077-<br />

CO2. B. Guijarro received a scholarship from MEC (Ministerio<br />

de Educación y Ciencia, Spain). We thank to Y.<br />

Herranz, A. Barrionuevo, and M.T. Clemente for technical<br />

support.<br />

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