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Phytosanitary quality of Brachiaria brizantha 'BRS Piata seeds in function of climate conditions/Qualidade sanitaria de sementes de Brachiaria brizantha 'BRS Piata' em funcao de condicoes climaticas.


The presence of pathogens in seeds represents a risk for phytosanitary defense, as these pathogens may serve as a source of inoculum in areas free of contamination (Mallmann et al., 2013; Santos et al., 2014). Currently, there is a demand by the sector forage grass to identify favorable regions and produce high-quality seeds (Martins et al., 2017; Melo et al., 2017). Thus, analysis of the production and technology associated with forage grass seeds has the potential to generate information on the best regions for production.

Commonly, fields used for the production of forage grass seeds occupy traditional pasture areas. However, a region is not the best for seed production only because a plant has adapted well to a certain region and produces a large amount of green mass suitable for animal nutrition and weight gain (Souza, 2001; Araujo et al., 2008).

Environmental factors such as temperature, precipitation, water stress, and relative humidity may favor the spread of diseases in plants and seeds (Amorim et al., 2016). The genera Bipolaris, Curvularia, Fusarium and Phoma have been identified in Brachiaria brizantha seeds from different fields in Mato Grosso (Mallmann et al., 2013). However, the authors did not identify climatic conditions that favored the incidence of these fungi in the seeds. The objective of this study was to identify climatic variables that favor the production of B. brizantha 'BRS Piata' seeds infected with phytopathogenic fungi.


The study was performed with B. brizantha 'BRS Piata' seeds harvested from 10 production fields in Brazil (Table 1). These fields showed differences of more than 5[degrees]C in temperature and more than 100 mm in precipitation. The existence of climatic differences was confirmed in the seed production fields because the standard deviation of the climatic parameters was greater than 2.

The data on rainfall and temperature (minimum, mean, and maximum) were obtained from INMET (2018) during the reproductive cycle, from the first flowering until the last seed falls (known as the maturation period), as well as the harvest (from December 2014 to August 2015), depending on the region. Information on the fields during the flowering period (between the first and second flowering), seed falling period, and harvest period was obtained from the cooperative farmers, company technicians, and survey reports of the fields, which are requirements of the Ministry of Agriculture, Livestock and Supply (Brasil, 2008).

To harvest the seeds, the plants were first cut with an enclosed mower, and, then, a harvester swept up the top layer of the soil and seeds; this material was ventilated and sieved to remove the impurities. In the field, 5 kg samples of crude seeds were packed using paper and sent for analysis to the Seed Analysis Laboratory at the Phytosanitary Department of the Federal University of Paraiba, Center of Agrarian Sciences, Areia Campus, PB.

To determine the incidence of fungi in the seeds, the blotter test was performed using 20 replicates of 10 seeds equidistantly distributed on three sheets of sterile filter paper, previously moistened with sterile distilled water, and incubated in petri dishes (9 cm in diameter) for seven days at 20[degrees]C ([+ or -] 2[degrees]C) and 12 h of light (Brasil, 2009). The seeds were analyzed individually under a stereoscopic microscope, and the fungi were identified using their morphological characteristics (Seifert et al., 2011). The results were expressed as the percentage of seeds contaminated by each fungus (Brasil, 2009).

To interpret the results, the detected fungi were divided into three categories on the basis of incidence: (i) high, greater than 3%; (ii) average, between 0.5 and 2.8%; and (iii) low, less than 0.5% (Melo et al., 2017).

The experimental design was completely randomized, with 20 replicates of 10 seeds per lot. The statistical procedure was divided into two stages. In the first stage, univariate statistical analysis was performed. The data were tested for normality and homoscedasticity by using the Shapiro-Wilk and Cochran tests, respectively. If the basic hypotheses for ANOVA were not met, the Kruskal-Wallis nonparametric analysis was performed; if the result was significant, the t-test was used to compare the mean values.

In the second stage, multivariate analysis was performed, according to Hongyu et al. (2015). Thirteen climatic and sanitary quality variables were selected from the seeds that showed differences in these variables in the production fields. The data was subjected to multivariate statistical analysis by performing principal component analysis with the Software Assistat, version 7.7 (Silva & Azevedo, 2016), after standardization of the null mean and unit variance.


Sanitary analysis of B. brizantha 'BRS Piata' seeds was performed, and 37 fungal genera, with a total mean incidence of 0.1-27%, were detected in the seeds. Of these, 21 were considered low incidence because they were found in less than 0.6% of the seeds. The 21 genera were as follows: Ustilago, Trichoconiella, Torula, Tetraploa, Pestalotia, Pantaspora, Mucor, Monacrosporium, Inesiosporium, Graphium, Dactylella, Cylindrocarpon, Paecilomyces, Leptosphaeria, Leptographium, Chaetomium, Cercospora, Spadicoides, Pithomyces, Sphacelotheca, and Pyricularia.

Even when found at low incidence in the seeds, some fungi may represent a risk to pastures, for example, Ustilago sp. is potentially pathogenic to forage grasses and causes smut, a disease that affects seed production (Marchi et al., 2009). Cases of this disease have been reported in more than 50% seed batches from production fields in Mato Grosso do Sul, and its control is not defined in the literature (Marchi et al., 2009). In the present study, Ustilago sp. was found in only seeds from Paraiso das Aguas, MS.

Nine genera of fungi were considered to have medium incidence, as they were detected in 0.6-4% of the seeds. These were Tilletia, Nigrospora, Claviceps, Helicosporium, Aspergillus, Cladosporium, Penicillium, Rhizopus, and Phoma. Seven genera were verified as high incidence because they were present in more than 4% of the seeds. The seven genera were as follows: Drechslera, Colletotrichum, Exserohilum, Alternaria, Bipolaris, Curvularia, and Fusarium.

Of the seed batches of B. brizantha 'BRS Piata', 100% were found to be infected with Fusarium spp., Alternaria sp., Exserohilum sp., and Colletotrichum sp.; 90%, with Curvularia sp.; 80%, with Bipolaris sp. and Phoma sp.; 70%, with Penicillium sp. and Cladosporium sp.; 60%, with Drechslera sp., Helicosporium sp., Nigrospora sp., and Rhizopus sp.; and 50%, with Claviceps sp., Aspergillus sp., and Tilletia sp. The high incidence of these fungi is worrisome, mainly, Bipolaris sp., Fusarium spp., Alternaria sp., Curvularia sp., Phoma sp., Claviceps sp., and Drechslera sp., as they are potentially pathogenic for tropical forage grasses and transmitted via seeds (Marchi et al., 2010a, b; Mallmann et al., 2013).

Similar values were observed for Tilletia sp. (1 [+ or -] 1%), Cladosporium sp. (1 [+ or -] 1%), Penicillium sp. (2 [+ or -] 1%), Rhizopus sp. (2 [+ or -] 2%), Phoma sp. (3 [+ or -] 2%), and Colletotrichum sp. (5 [+ or -] 2%) in all the production fields. Of these, Cladosporium sp., Penicillium sp., and Rhizopus sp. were considered secondary, saprophytic, or storage fungi by Marchi et al. (2010a, b).

Tilletia sp. is a causal agent of smuts in forage grasses and represents a phytosanitary barrier for the export of seeds (Orue, 2014), thus preventing the commercialization of seeds from Santo Anastacio, SP; Palmeira do Goias, GO; Sao Desiderio, BA; Costa Rica, MS; and Paraiso das Aguas, MS. Colletrotrichum sp. was verified in the seeds from all production fields. Phoma sp. was not found in only batches from Dracena, SP, and Unai, MG. These fungi were considered potentially pathogenic for forage grasses in a study performed by Marchi et al. (2010a, b). The other genotypes of fungi found in the seeds are listed in Table 2, and their incidence ranged from medium to high, with differences between the production fields.

Fusarium spp. showed a high incidence in the B. brizantha 'BRS Piata' seeds, with values ranging from 13 to 43%. The highest percentages of seeds with this fungus were observed in the batches from Sao Desiderio, BA, and Correntina, BA; Paraiso das Aguas, MS; Tupaciguara, MG, and Unai, MG; and Costa Rica, MS, and.

The high incidence of Fusarium spp. was caused may be by the favorable climatic conditions in the forage seed-producing regions and continued production in areas infested by the fungi because of increased inoculum potential. Such occurrences were observed by Mallmann et al. (2013), when they evaluated fungi associated with Brachiaria sp. and Panicum maximum in the States of Mato Grosso do Sul, Mato Grosso, and Minas Gerais.

The highest percentages of seeds with Curvularia sp. were found in the batches produced in Santo Anastacio, SP; Costa Rica, MS; and Jatai, GO (33, 35, and 16%, respectively). The seeds from Dracena, SP, were differentiated from the seeds from Santo Anastacio, SP, Correntina, BA, and Costa Rica, MS.

Curvularia sp. can be found lodged in both the integument and endosperm of forage grass seeds; it can reduce germination and be transmitted to the plant, causing leaf spots (Santos et al., 2014). For P maximum 'Mombaca', this fungus was considered as one of the most common phytopathogens in the seed production fields in the states of Mato Grosso and Mato Grosso do Sul (Mallmann et al., 2013).

Seeds with Bipolaris sp. were not found in the batches from Dracena, SP, and Unai, MG. These did not differ statistically from those from Santo Anastacio, SP, with an incidence of 3%, and from the municipalities of the state of Bahia, with an incidence of 5%.

Bipolaris sp. was identified in the seeds from Paraiso das Aguas, MS, with an incidence of 29%; these did not differ from the seeds from the state of Goias and municipalities Tupaciguara, MG, and Costa Rica, MS, which showed incidences from 12 to 22%. Marchi et al. (2010a, b) and Santos et al. (2014) evaluated the seed batches of forage grasses and concluded that Bipolaris sp. is pathogenic and has a seed-to-seedling transmission rate of 100%. This fungus was detected as a cause of leaf spot in pastures of P maximum 'Mombasa' and 'Tanzania' (Mallmann et al., 2013).

A higher incidence of Alternaria sp. (24%) was observed in the seeds from Correntina, BA, as well as Jatai, GO, and Unai, MG (15 and 13%, respectively). Seeds from the other provenances showed equal or less than 9% Alternaria sp. infection. Marchi et al. (2010a) considered this fungus as a secondary or storage fungus in commercial batches of Brachiaria seeds.

The fungus Exserohilum sp. was detected in all the evaluated batches. However, a high incidence was observed in only the seeds from the municipalities of Santo Anastacio, SP, and Dracena, SP (19 and 18%, respectively), which did not differ from each other; these values did not differ from those of the seeds from Tupaciguara, MG; Unai, MG; and Paraiso das Aguas, MS (5, 6, and 6% infection, respectively).

In contrast to the obtained results, Exserohilum sp. has been rarely reported in forage grass seeds. Santos et al. (2014) analyzed 28 seed batches of Brachiaria spp., Panicum sp., Crotalaria sp., and Stylosanthes sp. and found Exserohilum sp. in only seeds of P maximum 'Mombasa', but at an incidence of less than 1%.

A high incidence of Drechslera sp. was detected in the seeds from Jatai, GO; Palmeiras de Goias, GO; Tupaciguara, MG; and Paraiso de Aguas, MS (14, 12, 11 and 5%, respectively). Drechslera sp. was not found in two batches from the municipalities of the state of Sao Paulo and the batch from Correntina, BA, and from Unai, MG. The non occurrence of Drechslera sp. in the seeds produced in these municipalities did not differ from those observed in the seeds of Sao Desiderio, BA, Costa Rica, MS, and Paraiso das Aguas, MS (low incidence Of 1, 2, and 5%, respectively). Drechslera sp. has been classified as the main pathogen in Brachiaria seeds by a seed analysis laboratory in San Lorenzo, Paraguay (Pazos et al., 2011).

The etiological agent of ergot was first described as Claviceps, a perfect form of Sphacelia sp. (Miedaner & Geiger, 2015). This fungus was found only in the seeds from Palmeiras de Goias, GO; Santo Anastacio, SP; Jatai, GO; Costa Rica, MS; and Paraiso das Aguas, MS. Claviceps sp. is potentially pathogenic in crops of rye, sorghum, and millet (Miedaner & Geiger, 2015). Therefore, seeds of B. brizantha 'BRS Piata' infected by Claviceps sp. can be considered as a source of inoculum for new areas and crops. In addition, the presence of this pathogen in seeds destined for the international market may constitute a barrier to Brazilian export (Marchi et al., 2010a, b).

The highest incidence of Helicosporium sp. was found in the seeds from Paraiso das Aguas, MS, with 6% seeds being contaminated. In the other production fields, this value was equal to or less than 2%. It is worth noting the absence of this fungus in seed batches from two municipalities of the state of Sao Paulo, Correntina, BA, and Unai, MG. Fungi of this genus are not considered phytopathogenic; rather, they are saprophytes because they are found in decomposing material (Silva et al., 2014).

Pithomyces sp. was found in 3% of the seeds from Sao Desiderio, BA, which did not differ from those from Santo Anastacio, SP, and Costa Rica, MS (both, 1% incidence). In the other seed batches, no occurrence of this fungus was detected. This genus has been reported in the leaves of B. brizantha 'BRS Piata' and Brachiaria decumbens (Sbalcheiro et al., 2014). In B. decumbens, the occurrence of Pithomyces sp. was associated with intoxication of sheep due to grazing in a contaminated pasture in the state of Mato Grosso (Mendonca et al., 2008).

Higher incidences of Nigrospora sp. and Aspergillus sp. were found in the seeds from Sao Desiderio and Correntina, BA, and Jatai and Palmeiras de Goias, GO, with values equal or lower than 5%. These fungi were considered secondary, saprophytic, or storage fungi by Marchi et al. (2010a, b). The incidence of these fungi can be justified by the 6 months that elapsed between the arrival of the seeds in the laboratory and beginning of the evaluation.

To analyze the principal components of the sanitary quality of B. brizantha 'BRS Piata' seeds, Fusarium spp., Curvularia sp., Bipolaris sp., Alternaria sp., and Exserohilum sp. were selected for the following reasons: (i) occurred in at least 80% of the production sites (Table 2); (ii) statistically different incidence values between the production sites; and (iii) compared to other pathogens, they had a high total incidence (more than 4%).

The fungi Fusarium spp., Curvularia sp., Bipolaris sp., Alternaria sp., and Exserohilum sp. and the main climatic factors of the production sites (maximum, average, and minimum temperature during the maturation and harvesting period and accumulated precipitation during the maturation and harvest periods) comprised a total of 13 variables for evaluation in the principal component analysis (Table 3).

The results of the statistical correlation analysis identified two principal components as necessary for the interpretation of the data on the variability in sanitary seed quality and climatic factors of the production sites of B. brizantha 'BRS Piata'. Principal components 1 and 2 presented a total variance of 33.44 and 31.21%, respectively, and the sum of these values was 64.65% of the accumulated variance. These values were close to those found by Silva et al. (2017) in a study on vigor tests for the evaluation of the physiological quality of seeds of the same species. Therefore, the values of the principal components met the recommendation of Rencher & Christensen (2012), who stated that approximately 70% of the total variance must be explained by the principal components.

For each principal component, all correlation values equal to or greater than 0.6 were considered relevant and with discriminatory power (Silva et al., 2017). Thus, among the variables, only Curvularia sp., Alternaria sp., and accumulated rainfall during the maturity period were not discriminatory in the two principal components (Table 3).

In the correlation analysis of principal component 1, the incidence of Fusarium spp. and Exserohilum sp. in the seeds from different production sites was verified to be influenced by maximum and average temperature during harvest, minimum temperature during the maturation period, and accumulative rainfall during harvest time. Because of the similar sizes of the vectors, it was possible to infer that the variable incidence of Fusarium spp. and Exserohilum sp., in addition to the accumulative precipitation during the harvest, presented greater discriminatory power and could be considered equally representative in the separation of the batches

For the correlation analysis of principal component 2, the incidence of Bipolaris sp., maximum temperature during the maturation period, average and minimum temperatures during maturation, and harvesting periods presented discriminatory power for the batches, as the values were equal to or greater than 0.6 (Table 3). These variables were equally representative in the separation of the batches because of the similar sizes of the vectors, except for minimum temperature during the maturity period (which presented a vector).

Thus, it can be inferred that the fungi Fusarium spp., Bipolaris sp., and Exserohilum sp. must have infected the seeds of B. brizantha 'BRS Piata' at the end of the maturation period. Seeds of forage grasses are harvested by soil sweeping, after the seeds had fallen from the plant, and are exposed to environmental conditions and contamination of saprophytic fungi (Quadros et al., 2012). The inocula of Fusarium spp., Bipolaris sp., and Exserohilum sp. may occur in saprophytic forms, such as resistance structures in the soil; secondary hosts; or in seeds, on the integument and/or in the interior (Quadros et al., 2012; Santos et al., 2014; Amorim et al., 2016).

For principal component 1, the incidence variables of Fusarium spp., maximum and average temperature during harvest, were inversely proportional to those of Exserohilum sp., minimum temperature during the maturation period and accumulated precipitation during the harvest period; this can be verified by negative and positive values, respectively (Table 3).

Therefore, it can be inferred that the incidence of Fusarium spp. in the seeds was higher at higher temperatures, between 30.3 and 32.0[degrees]C maximum temperatures and between 22.2 and 24.2[degrees]C minimum temperatures, and lower accumulated rainfall during harvest, less than 82 mm (Table 1, Figure 1). The municipalities of Palmeiras de Goias, GO; Sao Desiderio, BA; Correntina, BA; and Tupaciguara, MG constituted group 1, which presented most of these characteristics.

Conditions of high temperatures and low relative humidity have been reported to be unfavorable to the development of fungi (Souza, 2001; Amorim et al., 2016) such as Fusarium spp. However, during the harvest period, Brachiaria seeds remain under a layer of straw, which acts as a thermal insulator and results in the formation of a microclimate where the temperature is cooler and relative humidity is higher (Silva Junior et al., 2016). Therefore, during the harvest period, conditions in which the seeds of B. brizantha 'BRS Piata' remain under straw may be favorable for fungal growth. Furthermore, the incidence of this fungus may be related to the presence of the inoculum in the area or B. brizantha 'BRS Piata' seeds (Santos et al., 2014).

The seeds from Santo Anastacio, SP, and Dracena, SP, constituted group 3. The seeds from these municipalities showed a higher incidence of Exserohilum sp., which was consistent with lower temperatures of 20.1 and 20.2[degrees]C (minimum) and high accumulated precipitation during harvest, 167 and 181 mm. These harvest conditions activate metabolism and process of seed deterioration (Carvalho & Nakagawa, 2012) and are favorable to pathogens (Amorim et al., 2016).

In principal component 2, the incidence variables of Bipolaris sp. were inversely proportional to the temperature variables. This was checked by positive and negative values, respectively; therefore, group 2 was formed by the seeds produced in Jatai, GO; Costa Rica, MS; and Paraiso das Aguas, MS. The seeds from Paraiso das Aguas, MS, and Costa Rica, MS, were more affected by the incidence of Bipolaris sp. than the seeds from the other regions. This was verified in the dispersion plane by the proximity between these sites and eigenvector of the pathogen.

The incidence of Bipolaris sp. may be related to the lower temperatures recorded at these locations, between 19.2 and 20.0[degrees]C, during the maturation of the seeds (Table 1), mainly after the seed had fallen from the plant and was in contact with the soil. This can be verified by the position of the eigenvectors in the opposite quadrant of the dispersion plane.

The increase in the incidence of Bipolaris sp. is favored by temperatures between 22 and 30[degrees]C (Amorim et al., 2016). Possibly, this fact and the presence of the inoculum in the soil of some production sites, such as Mato Grosso do Sul, favored the incidence of this fungus.


1. Production sites where the maximum temperatures are above 30[degrees]C, average temperature close to 25[degrees]C, and rainfall accumulation below 82 mm during harvest time were favorable for Fusarium spp. in the seeds of B. brizantha 'BRS Piata'.

2. The incidence of Bipolaris sp. in the seeds of B. brizantha 'BRS Piata' is higher in places with temperatures between 19 and 20[degrees]C during maturation.

3. The highest incidence of Exserohilum sp. was observed at sites where the temperature at harvest is close to 20[degrees]C and accumulated rainfall is between 167 and 181 mm.



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Givanildo Z. da Silva (1), Cibele C. Martins (2), Luciana C. do Nascimento (3), Gabriel G. Barreto (3) & Otilia R. de Farias (3)

(1) Universidade Federal de Goias/Regional de Jatai. Jatai, GO, Brasil. E-mail: (Corresponding author)--ORCID: 0000-0002-6380-1599

(2) Universidade Estadual Paulista 'Julio Mesquita Filho'/Faculdade de Ciencias Agrarias e Veterinarias. Jaboticabal, SP, Brasil. E-mail: 0000-0002-1720-9252

(3) Universidade Federal da Paraiba/Centro de Ciencias Agrarias/Departamento de Fitotecnia e Ciencias Ambientais. Areia, PB, Brasil. E-mail: ORCID: 0000-0001-7774-6837; 0000-0002-4644-7938; 0000-0002- 0753-0712

Ref. 192832--Received 13 Mar, 2018 * Accepted 19 Feb, 2019 * Published 11 Mar, 2019

Caption: Figure 1. Biplot-type dispersion scheme with circle of eigenvectors obtained by the analysis of two principal components (PC1 and PC2) established based on variables of Fusarium spp. (F), Curvularia sp. (C), Bipolaris sp. (B), Alternaria sp. (A), Exserohilum sp. (E), maximum (T+), minimum (T-) and average (Ta) temperature and accumulated rainfall (R) on maturation (M) and harvest (H) in the evaluation of the sanitary quality of 10 of Brachiaria brizantha 'BRS Piata' seeds from different production regions
Table 1. Time of maturation (M) and harvesting (H), minimum
temperature at maturation (T/M) and at harvesting (T/H), mean
temperature at maturation (TmM) and at harvesting (TmH), maximum
temperature at maturation (T+M) and at harvesting (T+H) and
accumulated rainfall at maturation (RM) and at harvesting (RH) of the
Brachiaria brizantha 'BRS Piata' seed lots from different production
fields 2014/2015

Production regions          M         H      T-M    T-H    TmM

                         Month               ([degrees]C)

Santo Anastacio--SP      Dec-Apr   May-Jun   21.5   16.9   25.7
Dracena--SP              Dec-Apr   May-Jun   21.5   16.7   25.9
Jatai--GO                Dec-Apr   May-Jul   20.1   15.1   25.7
Palmeiras de Goias--GO   Jan-Apr   May-Jun   20.5   17.7   26.1
Sao Desiderio--BA        Dec-Apr   May-Jun   21.3   18.5   25.9
Correntina--BA           Dec-Apr   May-Jun   19.1   15.2   24.9
Tupaciguara--MG          Jan-Apr   May-Jul   20.3   17.0   24.9
Unai--MG                 Dec-Apr   May-Jul   21.0   16.7   25.8
Costa Rica--MS           Dec-May   Jun-Jul   19.2   15.6   24.7
Paraiso das Aguas--MS    Dec-May   Jun-Jul   20.0   15.5   24.0

Production regions       TmH    T + M   T + H    RM    RH

                         ([degrees]C)           (mm)

Santo Anastacio--SP      21.0   31.4    26.4     826   181
Dracena--SP              21.3   32.4    27.6     928   167
Jatai--GO                22.1   31.4    29.1    1024   137
Palmeiras de Goias--GO   23.9   31.6    30.0     815    71
Sao Desiderio--BA        24.2   32.3    32.0     903    15
Correntina--BA           22.2   32.1    30.3     709    47
Tupaciguara--MG          21.8   29.6    26.5     762    83
Unai--MG                 22.8   32.0    29.7     914    41
Costa Rica--MS           22.4   30.2    29.1    1126    39
Paraiso das Aguas--MS    21.3   28.9    27.1    1011    31

Fonte: INMET (2018)

Table 2. Percentage of incidence of potentially pathogenic fungi in
Brachiaria brizantha 'BRS Piata' seeds from different production

                       Santo     Dracena   Jatai   Palmeiras
Fungi                Anastacio    --SP     --GO    de Goias
genera                 --SP                          --GO


Fusarium spp.           14 a      18 ab    13 a      22 ab
Curvularia sp.          33 d      13 bc    16 cd     10 abc
Bipolaris sp.            3 ab      0 a     22 cd     12 bed
Alternaria sp.           2 a       5 ab    15 bc      3 a
Exserohilum sp.         19 b      18 b      1 a       1 a
Drechslera sp.           0 a       0 a     14 b      12 b
Claviceps sp.            2 ab      0 a      3 ab      5 b
Helicosporium sp.        0 a       0 a      2 a       1 a
Pithomyces sp.           1 ab      0 a      0 a       0 a
Nigrospora sp.           0 a       1 ab     1 ab      1 ab
Aspergillus sp.          0 a       2 ab     4 b       4 b

                        Sao      Correntina   Tupaciguara
Fungi                Desiderio      --BA         --MG
genera                 --BA


Fusarium spp.          43 c        40 bc        29 abc
Curvularia sp.          4 abc       0 a          2 ab
Bipolaris sp.           5 ab        5 ab        14 bed
Alternaria sp.          9 ab       24 c          1 a
Exserohilum sp.         1 a         1 a          5 ab
Drechslera sp.          1 a         0 a         11 b
Claviceps sp.           0 a         0 a          0 a
Helicosporium sp.       1 a         0 a          2 a
Pithomyces sp.          3 b         0 a          0 a
Nigrospora sp.          5 b         4 ab         0 a
Aspergillus sp.         1 ab        1 ab         0 a

                      Unai     Costa     Paraiso
Fungi                 --MG      Rica    das Aguas
genera                          --MS      --MS


Fusarium spp.        29 abc    28 abc     37 bc
Curvularia sp.        1 ab     35 d        9 abc
Bipolaris sp.         0 a      13 bed     29 d
Alternaria sp.       13 abc     3 a        5 ab
Exserohilum sp.       6 ab      2 a        6 ab
Drechslera sp.        0 a       2 a        5 ab
Claviceps sp.         0 a       1 ab       2 ab
Helicosporium sp.     0 a       1 a        6 b
Pithomyces sp.        0 a       1 ab       0 a
Nigrospora sp.        0 a       0 a        1 ab
Aspergillus sp.       0 a       0 a        0 a

Means followed by the same letter in the line do not differ from each
other according to the Kruskal-Wallis test at 0.05 probability level

Table 3. Correlation ofvariables with each principal component
and variability of sanitary quality seed and climatic factors data
of 10 lots of Brachiaria brizantha 'BRS Piata'

           Variables                             Principal

                                                   1               2

           Fusarium spp.                         -0.80           -0.02
Sanitary   Curvularia sp.                         0.55            0.33
quality    Bipolaris sp.                         -0.25            0.77
           Alternaria sp.                        -0.55           -0.17
           Exserohilum sp.                        0.91           -0.07
           Maximum maturation temperature         0.06           -0.87
           Maximum harvest temperature           -0.71           -0.57
           Average maturation temperature         0.33           -0.87
Climatic   Average harvest temperature           -0.62           -0.87
factors    Minimum maturation temperature         0.61           -0.61
           Minimum harvest temperature            0.11           -0.72
           Accumulated rainfall on maturation     0.02           -0.05
           Accumulated rainfall on harvest        0.90           -0.05
Eigenvalues                                       4.35            4.05
Total Variance (%)                               33.44           31.21
Accumulated Variance                                     64.64
COPYRIGHT 2019 ATECEL--Associacao Tecnico Cientifica Ernesto Luiz de Oliveira Junior
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Author:da Silva, Givanildo Z.; Martins, Cibele C.; do Nascimento, Luciana C.; Barreto, Gabriel G.; de Faria
Publication:Revista Brasileira de Engenharia Agricola e Ambiental
Date:Apr 1, 2019
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