Penicillium frequentans - Monilinia
Penicillium frequentans - Monilinia
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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