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Pesquisa Agropecuária Brasileira

Print version ISSN 0100-204XOn-line version ISSN 1678-3921

Pesq. agropec. bras. vol.52 no.9 Brasília Sept. 2017 


Epidemiology and strategies for chemical management of powdery mildew in mango

Epidemiologia e estratégias para o manejo químico do míldio-pulverulento em mangueira

Amado Pérez-Rodríguez(1) 

Abraham Monteón-Ojeda(1) 

José Antonio Mora-Aguilera(1) 

Elías Hernández-Castro(2) 

(1)Colegio de Postgraduados, Km 36.5, Carretera México-Texcoco, Caja Postal 56230, Montecillo, Estado de México, México. E-mail:,,

(2)Universidad Autónoma de Guerrero, Unidad Académica de Ciencias Agropecuarias y Ambientales, Carretera Iguala-Tuxpan, Km 2.5, Caja Postal 40101, Iguala, Guerrero, México. E-mail:


The objective of this work was to evaluate phytosanitary strategies for the chemical control of powdery mildew (Oidium mangiferae) in mango, based on the alternation of active ingredients with different modes and sites of action, and to determine the environmental and epidemiological conditions that favor the development of the disease. The experiment was conducted in Guerrero, México, in commercial orchards, within a program for the development of fungicide spraying strategies. Epidemic curves were used on temporal analyses of the disease for: incidence; area under disease progression curve (AUDPC); severity; and conidial seasonality and its relationships with meteorological parameters. The disease was better controlled with the application of systemic fungicide followed by contact fungicide with multisite activity. The first symptoms appeared 30 days after the issuance of shoots, and the most susceptible phenological (critical) stages were at full bloom and at the onset of fruit with 8-15 mm. Optimum conditions for the development of powdery mildew, which maximizes the density of airborne spores, are temperatures higher than 30°C and relative humidity over 90%.

Index terms: Mangifera indica; Oidium mangiferae; epidemics; fungicide resistance; integrated pest management; multisite fungicides.


O objetivo deste trabalho foi avaliar estratégias fitossanitárias para o controle químico do míldio-da-mangueira (Oidium mangiferae), baseadas na alternação de princípios ativos com diferentes modos e sítios de ação, e determinar as condições ambientais e epidemiológicas que favorecem o desenvolvimento da doença. O experimento foi realizado em Guerrero, México, em pomares comerciais, no âmbito de um programa para o desenvolvimento de estratégias de pulverização com fungicida. Curvas epidêmicas foram utilizadas em análises temporais da doença quanto à: incidência; área abaixo da curva de progresso da doença (AACPD); severidade; e sazonalidade dos conídios e sua relação com parâmetros meteorológicos. A doença foi mais bem controlada com a aplicação de fungicida sistêmico seguido de fungicida de contato, com atividade multissítio. Os primeiros sintomas apareceram 30 dias após a emissão dos brotos, e os estádios fenológicos mais sensíveis (críticos) foram o de floração completa e o de frutos com 8-15 mm. As condições ótimas para o desenvolvimento do oídio, que maximizam a densidade de esporos no ar, são temperatura acima de 30°C e umidade relativa superior a 90%.

Termos para indexação: Mangifera indica; Oidium mangiferae; epidemia; resistência a fungicidas; manejo integrado de pragas; fungicidas multilocais.


Mango (Mangifera indica L.) is the third most important tropical fruit worldwide, after banana (Musa sp.) and orange (Citrus sinensis L.). México is the fifth producer worldwide and the first in exportation (FAO, 2016). Oidium mangiferae Berthet, the causal agent of powdery mildew in mango, is widely distributed throughout the Pacific region. The disease has been reported in many countries of Asia, Middle East, Africa, South Africa, America, and Oceania (Nasir et al., 2014). In México, the disease is widely distributed especially in the Pacific Coast and the severity has increased considerably in the last years (Félix-Gastélum et al., 2013).

Powdery mildew is observed as a white powder, consisting of mycelium and conidia, on leaves, petioles, inflorescences, and fruit (Nelson, 2008). Mango is the only known host for the pathogen, which can have a sporadic, but very severe incidence, causing up to 90% crop loss (Nelson, 2008).

The pathogen develops in dry and cold environments, but reaches greater severity at 90% relative humidity (RH) and 20-25°C (Nasir et al., 2014). In Michoacán, the maximum severity of the disease coincides with periods of temperature of 13-20°C and 22-60% RH (Guillén-Sánchez et al., 2003). The control is based mainly on fungicides, such as Carbendazim, Benomyl, and Thiabendazole, to which O. mangiferae had already developed resistance (Mora Aguilera et al., 2002; FRAC, 2012). In contrast, fungicide rotation with different sites of action, with molecules such as strobilurins (azoxystrobin and trifloxystrobin), anilinopyrimidines (cyprodinil), morpholines (fenpropimorph, fenipropidinspiroxamine), triazoles (myclobutanil, propiconazole, tebuconazole and Triadimefon), fenoxyquinolines (Quinoxyfen), and multisite fungicides (sulfur, dithiocarbamates and quinomethionates) can act efficiently and reduce the risk of appearance of fungal resistance (Margot et al., 1998; Reuveni & Reuveni, 2002; Wicks & Hitch, 2002).

Epidemiology can aid the efficient evaluation of management practices for diseases (Guillén-Sánchez et al., 2003, 2004). Epidemiological studies for specific production areas can help establish effective chemical control programs to be included in an integrated pest management program. Despite this, there are few epidemiological studies on powdery mildew on mango in México, with only one research (Téliz, 1998), made in Michoacán by the Interdisciplinary Research Group on Mango (GIIM Spanish acronym). However, there is no research on the subject in Técpan de Galeana (subhumid tropic), Guerrero, which is the main producing state in México.

The objective of this work was to evaluate phytosanitary strategies for powdery mildew chemical control, based on the alternation of active ingredients with different modes and sites of action; and to explain the temporal development of the pathogen based on flowering phenology, seasonal density of inocula, and on environmental factors.

Materials and Methods

The experiment was carried in an orchard, in Las Tunas (17°16'N, 100°33'W, at 20 m altitude), Técpan de Galeana (subhumid tropic), Guerrero, México, with average annual precipitation and temperature of 1,525 mm and 27.1°C, respectively (SMN, 2017).

The orchard is planted on a sandy loam red soil with 14-15 year-old 'Manila' mango, spaced at a 10x10 m arrangement. The study was conducted during the 2011-2012 cycles, within a program of agronomic management (PAM) to control mango diseases. This program was supplemented with fungicide application strategies, based on the use of different active ingredients, modes of action, and spray timing, aimed to control O. mangiferae. The PAM consisted of: sanitary pruning, soil and leaf chemical fertilization, weekly irrigations, and flowering stimulation (KNO3, 2%).

Trees with similar trunk diameter and canopy volume were selected, treated, and evaluated. Three flowerings and vegetative flushes occurred during the experiment. Chemical control was done in the first and third flushes. The treatments were based on the rotation of fungicide active ingredients from different chemical groups and with different modes of action. Because the study was carried out in the field, in a commercial orchard, the treatments were inserted within an integrated pest management system that considered also other diseases, such as anthracnose (Colletotrichum gloeosporioides). Therefore, some tested active ingredients were not specific for control-ling powdery mildew, such as copper oxychloride.

Contact multisite-activity fungicides (C) were alternated with systemic activity fungicides (S). Protection periods of 7 and 15 days were assigned to the multisite and to systemic fungicides, respectively. The treatments were established based on these periods. In the first flush (vegetative and floral), the following treatments were used: T1, Ca + S1a + Ca + S2a; T2, S1a + Ca + S2a + Ca; T3, S1a + Ca + Ca + S2a; T4, C a + S1a + S2a + Ca; and T5, control; for which S1a is azoxystrobin, S2a is myclobutanil, Ca is sulfur + copper oxychloride, and control is distilled water. In the second flush, only contact fungicides, with multisite activity, combined with sulfur, were applied, with the following treatments: T1, Cu+S (copper oxychloride + sulfur); T2, Clo + S (chlorothalonil + sulfur); T3, Ma + S (mancozeb + sulfur); T4, Ca + S (captan + sulfur); and T5, control (distilled water). In the third flush, the following treatments were applied: T1, S1b+Cb+S2b+Cb; T2, Cb+S1b+Cb+S2b; T3, S1b+Cb+Cb+S2b; T4, Cb+S1b+S2b+Cb; and T5, control; in which S1b is cyprodinil + fludioxonil, S2b is quinoxyfen, and Cb is chlorothalonil + sulfur.

The application of the chemical treatments was based on the floral phenology model (Guillén-Sánchez et al., 2003), which considers as the most susceptible stages those from swollen buds to fruit with diameters lower than 8 mm. The fungicides were applied according to their commercial doses: azoxystrobin, 0.25 g L-1; myclobutanil, 0.08 g L-1; cyprodinil+fludioxonil, 62.5 + 0.075 g L-1; quinoxyfen, 0.05 mL L-1; copper oxychloride, 2.5 g L-1; mancozeb, 0.8 g L-1; captan, 1.25 g L-1; chlorothalonil, 2.88 g L-1; and elemental sulfur, 1.35 mg L-1. The applications were done with a Swissmex agricultural handbarrow, with 500 L capacity and flow of 34.2 L min-1, at 20 bar, using 5.5-HP (4.1 kw) motor, at 3,600 rpm; with two 50 m hoses with aspersion handles.

A randomized complete block design was carried out with four replicates. In each one, five inflorescences and five vegetative shoots taken from a tree, with homogeneous growth flush, were randomly selected and labeled. A previous research had shown that there is no effect of the orientation of inflorescences and vegetative shoots on disease intensity (Guillén-Sánchez et al., 2003). Two logarithmic scales (Table 1), with 7 and 10 classes (k), were developed using the software Doslog v.1.0 for Windows, with the following grades, according to the leaf area affected by the disease: 0, healthy tissue; and 6, damaged area ≥ 40%. For the inflorescence, the grades were: 0, healthy tissue; and 9, 90% panicles completely infested with the fungus. Disease severity was estimated according to these grades, on a weekly basis, from the swollen buds detection until the fruit reached a diameter of 8-15 mm, with the formula:

Sevi=i=1kXki×Nki/Ni ,MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqipu0de9qqWqpG0xh9v8qiW7rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeaacaGaaiaabeqaamaabaabaaGcbaGaam4uaiaadw gacaWG2bWaaSbaaSqaaiaadMgaaeqaaOGaeyypa0ZaaSGbaeaadaae WaqaaiaadIfadaWgaaWcbaGaam4AaiaadMgaaeqaaOGaey41aqRaam OtamaaBaaaleaacaWGRbGaamyAaaqabaaabaGaamyAaiabg2da9iaa igdaaeaacaWGRbaaniabggHiLdaakeaacaWGobGaamyAaaaaiiaacq WFGaaicaGGSaaaaa@4C80@

in which: Sevi is the severity at time i; Xki is the damage level k at time i; Nki represents the inflorescences with damage level k at time I; Ni are inflorescences evaluated at time i.

Table 1. Logarithmic scale used for the evaluation of powdery mildew (Oidium mangiferae) on inflorescences and leaves of mango (Mangifera indica), in the subhumid tropics of Guerrero, Mexico, during flowering and vegetative growth of the plants. 

Classe (k) Severity (%) Diseased flowering axes
Leaves Inflorescences
0 0 0 0
1 >0-2 >0-1.6 9
2 >2-4 >1.6-3.5 19
3 >4-10 >3.5-7.4 39
4 >10-21 >7.4-15 79
5 >21-40 >15-28 148
6 >40 >28-46 243
7 - >46-65 347
8 - >65-80 425
9 - >80-90 All

The temporal analysis of the disease progress was made by adjusting growth curves with the models monomolecular, logistic, and Gompertz, taking into account the coefficients of determination (R2) and the quality of the fit, standardized with the Weibull model (b-1). In order to compare the effect of the factors on the disease, the final severity (Yf) and the area under the disease progress curve (AUDPC) were calculated for each treatment, by integrating the Trapezoidal method (Campbell & Madden, 1990; Campbell & Benson, 1994).

The analysis of variance (Proc GLM) and the comparison of the mean (LSD test with reliability of 95%) were carried out in SAS v.9.1.3 (SAS Institute Inc, Cary, NC, USA) statistical software.

Temperature, precipitation, relative humidity, dew point, and wind direction and speed were recorded every two hours, with a Vantage Pro2 Weather Station (Davis Instruments Hayward California, USA), equipped with a Wheatherlink for Windows, v.5.9.0 software. The station was configured with a laptop, and data were exported to Microsoft Excel spreadsheet for processing.

In order to estimate the density of O. mangiferae conidia in the air, volumetric spore traps were designed, constructed, and installed in the center of the experimental area, at 1.5 m above ground level. The air suction was performed with a blower motor for industrial use, with 12V, and a volumetric capacity of 2.3-3.5 L min-1. Inside the trap, the spores were attached onto an adhesive tape placed around a rotating plastic disk, with a digital mechanism scheduled for seven days. Each tape had 1.5x39.5 cm, taken from rolls of transparent self-adhesive polypropylene (Contac). The tapes were tightly attached to a strip sheet of a hygrothermograph (as a template), around a plastic disk. This helped to differentiate individual days and hours of spore trapping. The tapes were removed weekly, and each 39.5-mm section of the template corresponded to a trapping interval of 24 hours. They were examined under a compound microscope, at 40X, for daily and weekly quantification of the spore density in the air.

Pearson correlation coefficients (r) were calculated between disease intensity and conidia density, and climatic conditions of temperature, relative humidity, speed and direction of the wind, precipitation, and dew point.

Results and Discussion

Flowering (Fl1, Fl2, and Fl3) and vegetative flushes (Veg1, Veg2, and Veg3) were registered and, in the experimental site, with subhumid tropic climatic conditions, they occurred in the periods shown in Figure 1, which depicts the severity of the disease in the field accordingly to the scale used, and allowed of the temporal development estimation of the epidemics. The first symptoms of the disease were observed, on average, 30 days after the appearance of the swollen buds. The most susceptible phenological stages were: full flowering, with 30% severity fruit set (3-5 mm diameter); and fruit with 8-15 mm, with 35% severity. Joubert (1991), Schoeman et al. (1995), and Guillén-Sánchez et al. (2003) reported similar results. The maximum severity in inflorescences (Fl1, Yf = 6.55; Fl2 Yf = 6.90; and Fl3 Yf = 6.15) and in vegetative shoots (Veg2, Yf = 1.80; and Veg3, Yf = 1.65) was recorded 40 days after initial symptoms (Tables 2 and 3).

Figure 1. Temporal progress curves for disease severity during the vegetative (A) and flowering (B) stages of mango with epidemics of Oidium mangiferae during three growth flushes, according to five chemical treatments, in a commercial mango orchard (Mangifera indica 'Manila') in Las Tunas. Ca, sulfur + copper oxychloride; S1a, azoxystrobin; S2a, myclobutanil; Cb, chlorothalonil + sulfur; S1b, cyprodinil + fludioxonil; S2b, quinoxyfen; Cu+S, copper oxychloride + sulfur; chlo+S, chlorothalonil + sulfur; Ma+S, mancozeb + sulfur; and Ca+S, captan + sulfur. 

Table 2. Effect of different fungicide combinations and of their application order on the epidemiological variables and on severity of powdery mildew (Oidium mangiferae), in the flowering stage of mango (Mangifera indica), in the subhumid tropic of Guerrero, Mexico(1)

Treat-ment Order of application(2) Weibull (R2) Epidemiological parameters(3)
Yf (b-1) AUDPC
Flowering flush 1
T1 S1a+Ca+S2a+Ca 0.99 4.95c 0.06a 145.75c
T2 Ca+S1a+Ca+S2a 0.97 5.40b 0.17a 151.00bc
T3 S1a+Ca+Ca+S2a 0.98 5.15bc 0.18a 154.25bc
T4 Ca+S1a+S2a+Ca 0.98 5.35b 0.18a 159.00b
T5 Control 0.99 6.55a 0.21a 229.00a
Flowering flush 2
T1 Cu+S 0.99 5.50c 0.33a 190.25c
T2 Chlo+S 0.98 5.45c 0.44a 178.75d
T3 Ma+S 0.97 5.85b 0.22a 211.00b
T4 Ca+S 0.99 5.90b 0.23a 206.25b
T5 Control 0.99 6.90a 0.39a 240.25a
Flowering flush 1
T1 S1b+Cb+S2b+Cb 0.95 4.85d 0.23a 181.50c
T2 Cb+S1b+Cb+S2b 0.96 5.25bc 0.22a 203.50b
T3 S1b+Cb+Cb+S2b 0.96 5.10c 0.27a 200.50b
T4 Cb+S1b+S2b+Cb 0.97 5.30b 0.40a 203.75b
T5 Control 0.99 6.15a 0.36a 249.25a

(1) Means followed by equal letters do not differ, by LSD test, at 5% probability. (2)S1a, azoxystrobin; S2a, myclobutanil; Ca, sulfur + copper oxychloride; Cu+S, copper oxychloride + sulfur; Chlo+S, chlorothalonil + sulfur; Ma+S, mancozeb+ sulfur; Ca+S, captan + sulfur; S1b, cyprodinil + fludioxonil; S2b, quinoxyfen; and Cb, chlorothalonil + sulfur. (3)Yf, final incidence; b-1, apparent infection rate; and AUDPC, area under the disease progress curve.

Table 3. Effect of different fungicide combinations, and of their application order, on the epidemiological variables and on severity of powdery mildew (Oidium mangiferae), in the vegetative stages of mango (Mangifera indica), in the subhumid tropic of Guerrero, Mexico(1)

Treatment Order of application(2) Weibull (R2) Epidemiological parameters(3)
Yf (b-1) AUDPC
Vegetative flush 1
T1 S1a+Ca+S2a+Ca 0.89 1.35cd 0.08ab 31.75bc 0.89 1.35cd
T2 Ca+S1a+Ca+S2a 0.85 1.85a 0.11a 40.25ab 0.85 1.85a
T3 S1a+Ca+Ca+S2a 0.93 1.00d 0.08ab 26.50c 0.93 1.00d
T4 Ca+S1a+S2a+Ca 0.93 1.45bc 0.07ab 36.75abc 0.93 1.45bc
T5 Control 0.93 1.75ab 0.05b 47.50a 0.93 1.75ab
Vegetative flush 2
T1 Cu+S 0.99 1.25b 0.09a 11.75c 0.99 1.25b
T2 Chlo+S 0.95 1.05b 0.10a 20.25b 0.95 1.05b
T3 Ma+S 0.90 1.10b 0.05a 24.50b 0.90 1.10b
T4 Ca+S 0.98 1.10b 0.07a 27.00b 0.98 1.10b
T5 Control 0.92 1.80b 0.05a 44.50a 0.92 1.80b
Vegetative flush 1
T1 S1b+Cb+S2b+Cb 0.96 0.60c 0.08c 11.50c 0.96 0.60c
T2 Cb+S1b+Cb+S2b 0.95 1.00b 0.08bc 18.50bc 0.95 1.00b
T3 S1b+Cb+Cb+S2b 0.94 1.05b 0.10abc 19.25bc 0.94 1.05b
T4 Cb+S1b+S2b+Cb 0.93 1.05b 0.14ab 20.25b 0.93 1.05b
T5 Control 0.97 1.65a 0.14a 38.75a 0.97 1.65a

(1)Means followed by equal letters do not differ, by LSD test, at 5% probability. (2)S1a, azoxystrobin; S2a, myclobutanil; Ca , sulfur + copper oxychloride; Cu+S, copper oxychloride + sulfur; Chlo+S, chlorothalonil + sulfur; Ma+S, mancozeb+ sulfur; Ca+S, captan + sulfur; S1b, cyprodinil + fludioxonil; S2b, quinoxyfen; and Cb, chlorothalonil + sulfur. (3)Yf, final incidence; b-1, apparent infection rate; and AUDPC, area under the disease progress curve.

According to Singh (2000), warm humid weather, low-night temperatures, and high-wind velocity favor disease spread and development. These climatic conditions are common in the subhumid tropic region evaluated, and explain why the disease was found during all three growth flushes. The climatic conditions impacted the disease severity, with correlation coefficients ranging from 0.82 to 0.93 (Table 4). Epidemic relevance of the disease in foliage is significant, since it provides a source of inocula that can infect the inflorescences, both in the same production cycle and in the following growing seasons (Akhtar & Alam, 2002; Guillén-Sánchez et al., 2003). However, future studies are needed to estimate their impact on tree vigor.

Table 4. Pearson correlation coefficient of powdery mildew (Oidium mangiferae) spore density in the air, with climatic variables and with disease severity in mango (Mangifera indica). 

Range Correlation of spore density with environmental conditions and with disease severity
Daytime temperature(1)
≥30°C 0.95
Relative humidity
60-89% 0.65
≥90% 0.86
Dew point
10-14°C 0.83
15-19°C 0.68
Disease severity in flowering flush
1 0.91
2 0.94
3 0.90
Disease severity in vegetative flush
1 0.93
2 0.82
3 0.90

(1)Night temperature oscillated around 15±3°C.

The treatment with the best result in the inflorecences was T1 [S1a+Ca+S2a+Ca = azoxystrobin, sulfur + copper oxychloride + myclobutanil + (sulfur + copper oxychloride)], that showed Yf lower than 4.95 and AUDPC of 145.75, in the first flowering flush. In vegetative shoots, however, the best results were obtained with T3 (S1a+Ca+Ca+S2a), that showed Yf= 1.00, and AUDPC=26.5.

In the second growth flush, when systemic fungicides were not used, the best combination of ingredients were chlorothalonil + sulfur, with AUDPC=178.75 in the flowering; and copper oxychloride + sulfur, with AUDPC=11.75 in the vegetative shoots. This last result suggests a synergistic effect of the combination with sulfur.

In the third and final growth flush, the best treatment was T1 [S1b+Cb+S2b+Cb = quinoxyfen + (chlorothalonil + sulfur) + (cyprodinil + fludioxonil) + (chlorothalonil + sulfur)], both for inflorescences - that showed Yf= 4.85, and AUDPC=181.50 - and foliage, with Yf= 0.60, and AUDPC=11.50 (Tables 2 and 3). The control treatment recorded the highest intensity of disease in all flower and vegetative stages evaluated.

The Weibull model described well (Madden et al., 1981; Sinha & Varma, 2004) most of the registered epidemics, with R2 higher than 0.85 (Figure 1). However, there were differences in apparent infection rates, due to the treatments, only in the vegetative flushes 1 and 3 (Table 3). There were no expressive differences of treatment effects on the development of the disease in vegetative or flowering flushes (Tables 2 and 3). Fungicides from different chemical groups and modes of action, or with multisite activity, are commonly reported as controlling powdery mildew in mango (Hollomon et al., 1997; Reuveni et al., 1998; Wicks & Hitch, 2002; Guillén-Sánchez et al., 2004; Nelson, 2008). These reports were confirmed in the present study, where azoxystrobin, myclobutanil, and copper oxychloride + sulfur were the most effective fungicides.

However, the present study, not only evaluated specific authorized fungicides (MRL, 2010; Sagarpa, 2010) for powdery mildew in mango, but also their alternated use and the sprayed order, aiming at the preservation of their effectiveness with a rational phytosanitary approach (Halleen & Holz, 2001). Overall, the best strategy was to initiate chemical control using a systemic fungicide, followed by a contact one with multisite activity. In addition, the application time should consider the availability of susceptible tissues (full flowering, fruit set of 3-5 mm, and fruit with 8-15 mm diameter), regardless of the number and intensity of the growth flushes (Schoeman et al., 1995; Halleen & Holz, 2001). This strategy should be combined with cultural practices to reduce environmental humidity in the orchard, such as ventilation pruning, elimination of inoculum sources, avoiding excessive irrigation, and improving drainage and the timely control of weeds (Saifullah et al., 2007). Moreover, periodical foliar phosphate fertilization (Reuveni & Reuveni, 2002) can also help to improve the control of the disease. These practices may preserve long-term effectiveness of systemic molecules, thus limiting the risk of generating resistance (Halleen & Holz, 2001; FRAC, 2012).

The periodic occurrence of cold winds (≤ 20°C) in subhumid tropical regions near the sea, as occurred in this study, has an important impact on the promotion of the floral initiation processes (Pérez & Puche, 2003), but it can also increase the susceptibility of mango plants to powdery mildew, as observed in Técpan de Galeana (subhumid tropic), Guerrero. In areas with more than one epidemic (more than one growth flush) per cycle, the chemical control should be carried out more often. Therefore, it is important to alternate the active ingredients, with different combinations and order of application (FRAC, 2012), as Tahir et al. (2009) reported for O. mangiferae, and Halleen & Holz (2001) for Uncinula necator on grapevines.

In the present study, the severity in flowering and vegetative flushes were associated with temperatures higher than 30°C (r=0.92 and 0.94, respectively), relative humidity ≥90% (r=0.80 and 0.93), and density of air sporulation (r=0.88 and 0.96). In addition, spore density was correlated with temperatures between 20 and 26.9°C (r=0.65), relative humidity between 60 and 89.9% (r=0.65), dew point between 15 and 19.9°C (r=0.63), and wind speed between 1-1.9 km h-1 (r=0.70) (with WN direction, r=0.88).

Flowering and vegetative severity of the disease were correlated with temperature higher than 30°C and relative humidity higher than 90%. Therefore, these parameters were considered determinant for the development of the disease. Inocula were present throughout the studied period (Figure 2). Therefore, the severity will depend only on the proportion of susceptible tissues and on favorable environmental conditions. Singh (2000) reported that warm humid weather (64-72%), low-night temperatures, and high-wind velocity favor the spread of powdery mildew. Moreover, it is reported that maximum sporulation occurs between 20 and 26.9°C, with relative humidity higher than 80%, and dew point between 20-24.9°C (Makowski, 1993; Akhtar & Alam, 2000; Halleen & Holz, 2001; Sinha et al., 2001). It has also been documented that temperatures above 35°C, humidity between 50 and 70%, and wind exceeding 1.0 km h-1 favor conidial dispersal (Schoeman et al., 1995; Akhtar & Alam, 2000; Singh, 2000).

Figure 2. Oidium mangiferae spores monitoring (A), and their relationship with disease severity on inflorescences (B), during three flowering flushes, in a commercial 'Manila' mango orchard (Mangifera indica), in Las Tunas. 


  1. The rotation of molecules, particularly starting with one with systemic activity, followed by a contact fungicide with multisite activity, provides an efficient tool to combat the severity of powdery mildew (Oidium mangiferae) in mango, and to prevent the fungal resistance to fungicides.

  2. Full flowering, initial berthing of fruit, and fruit with 8-15 mm diameter are critical stages of infection.

  3. Low-night temperatures (below 20ºC) and diurnal temperatures higher than 30ºC, combined with humidity over 90%, are highly related to the severity of the disease.


To Colegio de Postgraduados, Mexico and Sagarpa-Conacyt Project No. 48595, for financial support.


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Received: November 26, 2016; Accepted: May 05, 2017

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