Resposta de Plantas de Trigo a Associação de Herbicidas com Inseticidas e Fungicidas

pd Planta Daninha Planta daninha 0100-8358 Sociedade Brasileira da Ciência das Plantas Daninhas RESUMO: A associação entre herbicidas e demais pesticidas pode causar reflexos tanto no manejo de plantas daninhas quanto de cultivadas. O objetivo deste trabalho foi avaliar a resposta da associação de diferentes herbicidas com inseticidas ou fungicidas pertencentes a diferentes grupos químicos sobre o desenvolvimento e rendimento de grãos de trigo, cultivar ORS Vintecinco. O delineamento experimental foi o de blocos ao acaso com três repetições. O experimento foi constituído por 33 tratamentos: testemunha sem aplicação, aplicação dos herbicidas 2,4-D (1.005 g e.a. ha-1), bentazon (756 g i.a. ha-1), metsulfuron-methyl (3 g i.a. ha-1) e pyroxsulam (16 g i.a. ha-1), de forma isolada ou associados com os inseticidas chlorfluazuron (15 g i.a. ha-1), chlorpyrifos (720 g i.a. ha-1), deltamethrin (5 g i.a. ha-1) e methomyl (5 g i.a. ha-1), ou com os fungicidas azoxystrobin (100 g i.a. ha-1), carbendazim (250 g i.a. ha-1) e propiconazole (190 g i.a. ha-1). Avaliou-se a tolerância relativa (TR), a massa da parte aérea seca (MPAS) das plantas e os componentes de rendimento e rendimento de grãos. De modo geral, pyroxsulam apresentou maior número de interações sinérgicas com os inseticidas e fungicidas utilizados, reduzindo dessa forma a TR e MPAS das plantas, destacando-se a associação pyroxsulam + chlorpyrifos pelo menor nível de TR (45%) e maior redução de MPAS (52%). Todas as associações de herbicidas com o inseticida chlorpyrifos e a maioria das associações com o fungicida propiconazole resultaram em redução do rendimento de grãos em relação à aplicação isolada dos mesmos herbicidas ou à testemunha sem aplicação. INTRODUCTION Wheat (Triticum aestivum L.) is one of the most important grain crops in the Brazilian agricultural scene, being the main species grown in the winter (Conab, 2016). In addition to the economic point of view, this crop is an integrating factor of cropping systems as a whole, especially in crop rotation systems. The need for weed control in wheat is routine. Species such as ryegrass (Lolium multiflorum), turnip (Raphanusspp.), and oat (Avenaspp.) stand out like weeds in wheat fields in southern Brazil (Agostinetto et al., 2008; Rigoli et al., 2008; Paula et al., 2011). Some herbicides used in weed management of this crop are 2,4-D, metsulfuron, bentazon, and pyroxsulam (Vargas and Roman, 2005; Galon et al., 2015). Regarding the wheat pests, caterpillars and aphids are agents that usually demand chemical management as they have high geographical distribution, high prolificacy, and frequently reach levels that require control (Pereira et al., 2015). Insecticides such as chlorfluazuron, chlorpyrifos, deltamethrin, and methomyl are indicated to control these pests (AGROFIT, 2018). On the other hand, leaf blotch, rust, powdery mildew, and scab are recurrent diseases in wheat (Cromey et al., 2001; Correa et al., 2013), being controlled with the fungicides azoxystrobin, carbendazim, and propiconazole (AGROFIT, 2018). Weeds, pests, and diseases cause quantitative/qualitative reductions in crop yields, often coinciding. The reduction of grain yield in the wheat crop due to the concomitant incidence of weeds, pests, and diseases is estimated at 50% (Oerke, 2006). When these biotic agents coexist in the production field, a combination of pesticides is necessary to improve control efficiency with fewer applications, thus reducing operating costs and crop losses. A survey indicates that approximately 97% of Brazilian farmers mix pesticides, mainly for the mentioned reasons, but about 72% of them are not fully aware of the effects of these combinations (Gazziero, 2015). The interaction resulting from the combination of herbicides with pesticides may influence both weed and crops. According to Colby (1967), the combination of products can be characterized as synergistic, antagonistic, or additive. Synergism is described as a superior response of a combination when compared to an isolated application of products; antagonism, on the other hand, is the reverse, i.e., when the mixture results in an inferior response when compared to products in isolation. When the combined use does not result in increased or decreased response, an additive interaction is characterized. A synergistic combination is considered advantageous for weed control. However, a synergistic combination increases toxicity to cultivated plants, which may compromise grain yield. On the contrary, an antagonistic combination presents as advantage lower toxicity to the crop but leading to a reduction of herbicide efficiency on weeds. The ideal situation is that the interaction reduces the injury on the crop, but without modifying or even increasing the herbicide action on weeds. Various pesticide classes (herbicides, fungicides, and insecticides) may present different mechanisms and modes of action in plants. That is, these products can lead to different morphological, physiological or biochemical responses in plants. Thus, their simultaneous use makes the analysis of these interactions more complex and valuable since they directly influence the development of crops and weed control. The combination of herbicides with specific insecticides may result in the increased herbicidal activity. The effect is reported mainly when herbicides inhibiting acetolactate synthase (ALS), some of photosystem II (PSII; bentazon and propanil), and acetyl CoA carboxylase (ACCase) are combined with insecticides from the organophosphorus and carbamate groups (McRae et al., 1964; Matsunaka, 1968; Campbell and Penner, 1982; Biediger et al., 1992; Baerg et al., 1996; Ahrens and Panara, 1997). Studies have indicated that the combination of the herbicide ethoxysulfuron with organophosphorus insecticides (malathion + chlorpyrifos) increased injuries caused by herbicide on the bean crop when compared to the isolated herbicide application (Pagnoncelli Jr et al., 2016). Similar results have been observed in corn with the combination of nicosulfuron and chlorpyrifos (Silva et al., 2005), as well as in wheat with the application of imazamox and malathion (Rojano-Delgado et al., 2015). Few studies have evaluated the effect of combining herbicides with insecticides, such as deltamethrin (pyrethroid) and chlorfluazuron (benzoylurea), or fungicides, such as propiconazole (triazole) and carbendazim (benzimidazole). The effects of the combination of herbicides with fungicides have been little explored when compared to herbicides and insecticides. However, studies have indicated that some combinations may reduce the phytotoxicity of certain herbicides. The control efficiency of the weed Senna obtusifolia with 2,4-D was reduced by approximately 15% when combined with the fungicide azoxystrobin, while its combination with tebuconazole did not lead to a difference in weed control in relation to its isolated application (Lancaster et al., 2005). The combination of fenoxaprop-p-ethyl and picoxystrobin reduced the injury on wheat, leading to a higher plant development when compared to the isolated herbicide application (Nader et al., 2015). This study hypothesized that the insecticides chlorpyrifos (organophosphorus) and methomyl (carbamate) might increase the injury caused by the herbicides pyroxsulam, metsulfuron (ALS inhibitors), and bentazon (FS2 inhibitor) on wheat (synergistic effect), as already observed with other cultivated species. However, it is believed that the use of the fungicide azoxystrobin (strobilurin) may provide a protective effect, reducing injuries caused by the herbicides pyroxsulam, metsulfuron, bentazon, and 2,4-D on the wheat crop (antagonistic effect), and even stimulate plant development. This study aimed to evaluate the combination of the herbicides 2,4-D, bentazon, metsulfuron, and pyroxsulam with the insecticides chlorfluazuron, chlorpyrifos, deltamethrin, and methomyl and the fungicides azoxystrobin, carbendazim, and propiconazole, belonging to different chemical groups, on the development and grain yield of the wheat crop. MATERIAL AND METHODS The experiment was conducted under field conditions in the municipality of Pato Branco (26o10’28.2" S and 52o41’12.9" W) between June and November 2016. The soil of the area is classified as a dystroferric Red Latosol (Oxisol), whose textural composition and chemical characteristics are shown in Table 1. Climate conditions in the experimental period are shown in Figure 1. Table 1 Textural composition and chemical characteristics of dystroferric Red Latosol (Oxisol) Textural composition Chemical characteristics Fraction % Properties Values Clay 55.7 OM (1) 49.50 Sand 3.0 P2O5 (2) 14.32 Silt 41.3 K2O (3) 0.70 CEC (4) 17.63 pH(5) 5.6 H+Al (6) 5.35 (1) Organic matter (g dm-3); (2) Phosphorus (mg dm-3); (3) Potassium (cmolc dm-3); (4) Cation exchange capacity (cmolc dm-3); (5) pH of soil (CaCl2 0,01 mol L-1); (6) Exchangeable acidity (cmolc dm-3). Figure 1 Precipitation and minimum and maximum temperatures in the period of conduction of the experiment. The points represent the time of application and the evaluation periods. Source: IAPAR - Instituto Agronômico do Paraná. The experimental design was a randomized block design with three replications. The experiment consisted of 33 treatments composed of control without application and application of the herbicides 2,4-D (1,005 g a.e. ha-1), bentazon (756 g a.i. ha-1), metsulfuron (3 g a.i. ha-1), and pyroxsulam (16 g a.i. ha-1), isolated or combined with the insecticides chlorfluazuron (15 g a.i. ha-1), chlorpyrifos (720 g a.i. ha-1), deltamethrin (5 g a.i. ha-1), and methomyl (5 g a.i. ha-1) or with the fungicides azoxystrobin (100 g a.i. ha-1), carbendazim (250 g a.i. ha-1), and propiconazole (190 g a.i. ha-1). The wheat cultivar used was the ORS Vintecinco, which has an early cycle and a semi-erect growth habit. Each experimental unit consisted of 8 m2 (4 × 2 m). Weeds were manually removed from each experimental unit during the entire experimental period. Sowing was carried out with a seed drill, with an interrow spacing of 17 cm, resulting in a density of 350,000 plants per ha. Base fertilization consisted of 300 kg ha-1 of the formulation 2-20-20 (N-P2O5-K2O). Soon after the emission of the first tiller, 300 kg ha-1 of the formulation 36-00-12 (N-P2O5-K2O) was applied. Treatment application was carried out when wheat plants started emitting the third tiller, which coincides with the initial stage of determination of the number of spikelets per spike and spikes per plant (Zadoks et al., 1974). For this, a CO2-pressurized backpack sprayer was used at a constant pressure of 300 kPa, applied volume of 200 L ha-1, and application speed of 3.6 km h-1. The application boom was composed of three fan tips XR 110.02, spaced 0.5 m from each other. The mean environmental conditions during application were relative air humidity of 60% and an air temperature of 15 oC. The relative tolerance (ability of wheat plants to withstand the application of different treatments when compared to the control) was evaluated at 5, 10, 20, and 40 days after treatment application (DAA) using the scale of Frans et al. (1986) with modifications, where 100 corresponds to the absence of symptoms (complete tolerance) and 0 corresponds to plant death (complete sensitivity). At 20 and 40 DAA, the shoot dry matter (SDM) of wheat plants was determined by collecting plants from an area of 0.25 m2 within the useful area of each plot. The plants were cut close to the soil and taken to a drying chamber at 60 oC until constant weight. SDM data were transformed into a percentage in relation to the control without treatment application. Yield components and grain yield were determined at physiological maturation. Plants from four rows of 1 m in length (0.7 m2) of each plot were threshed to obtain the one thousand-grain weight and grain yield, which was extrapolated to kg ha-1. The total number of spikes were counted in 1 m2 at a row of each plot at harvest time. The data were submitted to analysis of variance by the F test (p≤0.05) using the software R (RStudio 2016) and the package ExpDes.pt (Ferreira et al., 2011). The means of treatments were grouped by the Scott-Knott test (p≤0.05). The GGE Biplot technique (Yan et al., 2000) was used to evaluate the effect of combinations of herbicides with fungicides and insecticides on grain yield. Combinations were interpreted based on the cosine of the angle between vectors, being positive if the angle between vectors is <90o, negative if >90o, and zero if the angle is ≌ 90o. The Scaled notation = 0 indicates that the data were not transformed. The Centered notation informs the used model, where Centered = 2 represents GGE (genotype + genotype × environment interaction). SVP (singular value partitioning) is a matrix decomposition technique; if SVP = JK, it has a focus on genotypes (herbicides). Combination analysis was carried out with the software R using the package GGEBiplotGUI (Frutos et al., 2014). RESULTS AND DISCUSSION The analysis of variance resulted in the significance of treatments for all the variables, indicating their differentiated effects on wheat plants. Among the main symptoms caused by the application of isolated or associated herbicides were epinasty (2,4-D), toppling (2,4-D and bentazon), chlorosis (metsulfuron and pyroxsulam), necrosis (bentazon and pyroxsulam), and reduction in height (pyroxsulam). These symptoms were more intense at first evaluation times (5, 10, and 20 DAA). In most treatments, the injury was higher in the combinations of herbicides with insecticides or fungicides when compared to the isolated herbicide application. The lowest relative tolerance (RT) level was 45% (Table 2), which was observed in plants sprayed with the combination of pyroxsulam with chlorpyrifos at 20 DAA. This combination provided the highest injury level on plants, regardless of the evaluation time. Wheat plants sprayed with 2,4-D and bentazon in isolation and with the combinations 2,4-D + chlorfluazuron, bentazon + chlorfluazuron, 2,4-D + deltamethrin, bentazon + deltamethrin, 2,4-D + methomyl, bentazon + methomyl, bentazon + carbendazim, and bentazon + propiconazole presented RT similar to the control at all the evaluation times. Table 2 Relative tolerance (%) (RT) at 5, 10, 20 e 40 days after application of the treatments (DAA) in wheat plants of ORS Vintecinco cultivar Treatment Relative tolerance (%) Herbicide Insecticide 5 DAA 10 DAA 20 DAA 40 DAA Fungicide* 1 Control treatment 100.00 a 100.00 a 100.00 a 100.00 a 2 2,4-D - 95.17 a 93.21 a 86.86 a 97.76 a 3 Bentazon - 95.67 a 97.00 a 100.00 a 98.33 a 4 Metsulfuron - 86.67 b 96.33 a 96.67 a 98.33 a 5 Pyroxsulam - 89.00 b 85.67 b 91.67 a 95.00 a 6 2,4-D Chlorfluazuron 93.33 a 97.33 a 91.67 a 100.00 a 7 Bentazon Chlorfluazuron 91.64 a 95.74 a 94.44 a 97.76 a 8 Metsulfuron Chlorfluazuron 83.33 b 95.00 a 95.00 a 96.67 a 9 Pyroxsulam Chlorfluazuron 75.00 c 65.00 c 85.00 b 95.00 a 10 2,4-D Chlorpyrifos 85.00 b 90.67 a 93.33 a 95.00 a 11 Bentazon Chlorpyrifos 75.47 c 82.1 b 96.96 a 95.23 a 12 Metsulfuron Chlorpyrifos 66.67 d 60.00 c 68.33 c 85.00 a 13 Pyroxsulam Chlorpyrifos 60.00 d 48.33 d 45.00 d 50.00 b 14 2,4-D Deltamethrin 93.33 a 98.33 a 93.33 a 100.00 a 15 Bentazon Deltamethrin 95.00 a 94.67 a 100.00 a 100.00 a 16 Metsulfuron Deltamethrin 83.33 b 94.00 a 100.00 a 100.00 a 17 Pyroxsulam Deltamethrin 73.33 c 63.33 c 81.67 b 93.33 a 18 2,4-D Methomyl 97.33 a 99.00 a 98.33 a 97.33 a 19 Bentazon Methomyl 95.67 a 95.67 a 100.00 a 98.33 a 20 Metsulfuron Methomyl 82.33 b 95.00 a 96.67 a 100.00 a 21 Pyroxsulam Methomyl 68.33 d 73.33 c 83.33 b 95.00 a 22 2,4-D Azoxystrobin 71.67 c 80.00 b 81.67 b 95.00 a 23 Bentazon Azoxystrobin 78.33 c 80.00 b 93.33 a 98.33 a 24 Metsulfuron Azoxystrobin 84.33 b 86.67 b 98.33 a 100.00 a 25 Pyroxsulam Azoxystrobin 70.00 d 61.67 c 76.67 b 88.33 a 26 2,4-D Carbendazim 85.67 b 98.00 a 95.67 a 95.67 a 27 Bentazon Carbendazim 96.67 a 97.00 a 99.00 a 100.00 a 28 Metsulfuron Carbendazim 86.67 b 95.67 a 96.67 a 100.00 a 29 Pyroxsulam Carbendazim 73.33 c 61.67 c 80.00 b 90.00 a 30 2,4-D Propiconazole 80.00 c 88.33 b 95.00 a 95.67 a 31 Bentazon Propiconazole 92.33 a 95.67 a 100 a 100.00 a 32 Metsulfuron Propiconazole 80.67 c 93.33 a 100 a 100.00 a 33 Pyroxsulam Propiconazole 74.00 c 68.33 c 80.00 b 96.67 a CV(%)** 7.83 7.84 6.04 5.28 * Insecticides = chlorfluazuron, chlorpyrifos, deltamethrin e methomyl. Fungicides = azoxystrobin, carbendazim e propiconazole. (1) The averages followed by the same letter in the column do not differ by the Scott-Knott test (p≤0,05). ** CV = coeficiente of variation. In isolated applications, metsulfuron and pyroxsulam reduced RT of wheat plants to 87 and 89%, respectively, at 5 DAA, while pyroxsulam reduced it to 86% at 10 DAA (Table 2). However, no significant effect of these herbicides was observed on RT of plants in subsequent evaluations. In general, the combination of pyroxsulam with insecticides and fungicides reduced RT of wheat plants, especially for the evaluation performed at 5 DAA (Table 2). The herbicides bentazon and 2,4-D in combination or not with insecticides and fungicides, in general, presented less negative impact on RT of wheat plants. Except for plants sprayed with the combination of pyroxsulam + chlorpyrifos, all the others showed transitory injuries, which were little perceptible or imperceptible in the evaluation of RT performed at 40 DAA. Pyroxsulam and metsulfuron, even when applied alone, reduced shoot dry matter (SDM) of wheat plants by 25% at 40 DAA when compared to the control (Table 3). The herbicide pyroxsulam presented the highest number of synergistic interactions between combinations with the insecticides chlorfluazuron, chlorpyrifos, and methomyl and the fungicides azoxystrobin and carbendazim, reducing SDM in a higher proportion when compared to other treatments. This effect occurred at 20 DAA (51 to 83%) and reached a higher magnitude at 40 DAA (47 to 68%). Among all treatments, the highest reduction of SDM was observed in plants treated with the combination of the herbicide pyroxsulam with the insecticide chlorpyrifos, reaching 52% at 40 DAA (Table 3). Table 3 Shoot dry matter relative to the control treatment (SDM) (%) at 20 e 40 days after application of the treatments (DAA) in wheat plants of ORS Vintecinco cultivar Treatment SDM (%) Herbicide Insecticide or Fungicide* 20 DAA 40 DAA 1 Control treatment 100.00 a 100.00 b 2 2,4-D - 109.79 a 95.59 b 3 Bentazon - 86.94 a 87.79 b 4 Metsulfuron - 97.17 a 75.41 c 5 Pyroxsulam - 132.33 a 74.87 c 6 2,4-D Chlorfluazuron 94.98 a 90.34 b 7 Bentazon Chlorfluazuron 103.90 a 79.22 c 8 Metsulfuron Chlorfluazuron 96.44 a 80.68 d 9 Pyroxsulam Chlorfluazuron 83.12 b 94.32 b 10 2,4-D Chlorpyrifos 90.30 a 81.54 c 11 Bentazon Chlorpyrifos 106.03 a 80.08 c 12 Metsulfuron Chlorpyrifos 70.22 b 70.74 d 13 Pyroxsulam Chlorpyrifos 51.43 b 47.73 d 14 2,4-D Deltamethrin 90.58 a 83.53 c 15 Bentazon Deltamethrin 94.28 a 80.40 c 16 Metsulfuron Deltamethrin 90.84 a 93.18 b 17 Pyroxsulam Deltamethrin 104.9 a 85.80 c 18 2,4-D Methomyl 90.66 a 108.13 a 19 Bentazon Methomyl 108.99 a 127.45 a 20 Metsulfuron Methomyl 95.97 a 73.30 c 21 Pyroxsulam Methomyl 80.86 b 68.18 d 22 2,4-D Azoxystrobin 80.31 b 83.24 c 23 Bentazon Azoxystrobin 64.39 b 82.96 c 24 Metsulfuron Azoxystrobin 98.30 a 84.66 c 25 Pyroxsulam Azoxystrobin 73.09 b 68.47 d 26 2,4-D Carbendazim 97.44 a 78.98 c 27 Bentazon Carbendazim 93.09 a 94.04 b 28 Metsulfuron Carbendazim 108.28 a 93.47 b 29 Pyroxsulam Carbendazim 70.99 b 60.51 d 30 2,4-D Propiconazole 87.77 a 90.91 b 31 Bentazon Propiconazole 98.86 a 99.90 b 32 Metsulfuron Propiconazole 85.68 a 87.50 b 33 Pyroxsulam Propiconazole 96.97 a 94.89 b CV(%)** 14.75 13.81 * Insecticides = chlorfluazuron, chlorpyrifos, deltamethrin e methomyl. Fungicides = azoxystrobin, carbendazim e propiconazole. (1) The averages followed by the same letter in the column do not differ by the Scott-Knott test (p≤0,05). ** CV = coeficiente of variation. The combinations of the herbicide metsulfuron and the insecticide chlorpyrifos at 20 and 40 DAA and the herbicides 2,4-D and bentazon with the fungicide azoxystrobin at 20 DAA also stood out due to reductions in SDM (Table 3). The combination of the herbicides 2,4-D and bentazon with the insecticide methomyl led to increases of 8 and 27% in SDM at 40 DAA, respectively, when compared to the control. The number of fertile tillers (NFT) treated with 2,4-D, bentazon, and metsulfuron in isolation was lower than that observed in plants of the control without application (Table 4). Reductions in NFT of treatments with combinations of the herbicide bentazon with the insecticides chlorpyrifos and methomyl and the fungicides carbendazim and propiconazole also stood out. The combinations of the herbicide metsulfuron with the insecticide deltamethrin and the herbicide pyroxsulam with the fungicide propiconazole also reduced NFT. For these treatments, NFT ranged from 216 to 425; for the others, it ranged from 456 to 633. Table 4 Number of fertile tillers (m-2) (NFT), number of grains per spike (NGS), thousand-grain weight (g) (TGW) e grain yield (kg ha-1) (GY) depending the application of the treatments in wheat plants of ORS Vintecinco cultivar Treatment Yield components Herbicide Insecticide or Fungicide* NFT (no. m-2) NGS (no. m-2) TGW (g) GY (kg ha-1) 1 Control treatment 479.87 a 19.16 c 31.88 a 2976.92 a 2 2,4-D - 335.75 b 44.68 a 33.36 a 4372.80 a 3 Bentazon - 424.80 b 32.61 b 29.77 b 3527.84 a 4 Metsulfuron - 216.33 b 32.35 b 30.66 a 2136.03 b 5 Pyroxsulam - 503.47 a 21.61 c 33.46 a 3557.32 a 6 2,4-D Chlorfluazuron 481.83 a 22.33 c 28.39 b 2956.72 a 7 Bentazon Chlorfluazuron 580.17 a 17.40 c 31.02 a 3083.69 a 8 Metsulfuron Chlorfluazuron 470.03 a 20.96 c 28.33 b 2795.58 b 9 Pyroxsulam Chlorfluazuron 499.53 a 16.13 c 26.07 b 2126.37 b 10 2,4-D Chlorpyrifos 623.43 a 15.65 c 28.46 b 2793.28 b 11 Bentazon Chlorpyrifos 311.90 b 27.75 b 33.11 a 2585.62 b 12 Metsulfuron Chlorpyrifos 491.67 a 17.28 c 32.86 a 2802.94 b 13 Pyroxsulam Chlorpyrifos 597.87 a 16.15 c 27.28 b 2555.08 b 14 2,4-D Deltamethrin 456.27 a 20.32 c 33.22 a 2947.92 a 15 Bentazon Deltamethrin 475.93 a 17.83 c 29.02 b 2444.07 b 16 Metsulfuron Deltamethrin 391.37 b 31.52 b 25.94 b 2928.59 a 17 Pyroxsulam Deltamethrin 536.90 a 14.66 c 28.49 b 2271.35 b 18 2,4-D Methomyl 475.93 a 22.71 c 28.75 b 3237.88 a 19 Bentazon Methomyl 298.93 b 18.87 c 26.91 b 1536.78 b 20 Metsulfuron Methomyl 521.17 a 20.89 c 31.48 a 3469.85 a 21 Pyroxsulam Methomyl 501.50 a 17.36 c 28.52 b 2425.99 b 22 2,4-D Azoxystrobin 544.77 a 21.69 c 32.11 a 3788.80 a 23 Bentazon Azoxystrobin 493.63 a 20.80 c 31.97 a 3208.88 a 24 Metsulfuron Azoxystrobin 548.70 a 15.10 c 27.60 b 2087.71 b 25 Pyroxsulam Azoxystrobin 548.70 a 13.84 c 31.65 a 2377.67 b 26 2,4-D Carbendazim 483.80 a 23.62 c 29.38 b 3358.70 a 27 Bentazon Carbendazim 393.33 b 25.19 c 30.49 a 2960.30 a 28 Metsulfuron Carbendazim 489.70 a 19.01 c 30.04 b 2677.29 b 29 Pyroxsulam Carbendazim 570.33 a 18.71 c 30.97 a 3291.68 a 30 2,4-D Propiconazole 472.00 a 25.48 c 33.55 a 3730.81 a 31 Bentazon Propiconazole 418.90 b 16.85 c 27.77 b 2019.61 b 32 Metsulfuron Propiconazole 633.27 a 10.91 c 28.69 b 1981.39 b 33 Pyroxsulam Propiconazole 424.80 b 21.52 c 29.61 b 2677.29 b CV(%)** 20.48 33.83 8.23 21.6 * Insecticides = chlorfluazuron, chlorpyrifos, deltamethrin e methomyl. Fungicides = azoxystrobin, carbendazim e propiconazole. (1) The averages followed by the same letter in the column do not differ by the Scott-Knott test (p≤0,05). ** CV = coeficiente of variation. The highest number of grains per spike (NGS) was observed in plants treated with 2,4-D in isolation (approximately 45 grains/spike) (Table 4), followed by treatments with the isolated application of metsulfuron and bentazon and the combinations of bentazon + chlorpyrifos and metsulfuron + deltamethrin (approximately from 28 to 33 grains/spike). NGS of the other treatments, including control, was lower, with values ranging from 11 to 25. The amplitude of values of thousand-grain weight (TGW) was lower than that observed in other yield components (Table 4). Plants sprayed with 2,4-D, metsulfuron, and pyroxsulam in isolation or with combinations of 2,4-D + deltamethrin, bentazon + chlorpyrifos, metsulfuron + chlorpyrifos, bentazon + chlorfluazuron, metsulfuron + methomyl, 2,4-D + azoxystrobin, bentazon + azoxystrobin, pyroxsulam + azoxystrobin, bentazon + carbendazim, pyroxsulam + carbendazim, and 2,4-D + propiconazole showed TGW similar to that found in control plants, with values ranging from 30 and 33 g (Table 4). For the other treatments, TGW ranged from 26 to 30 g. The Scott-Knott test differentiated two groups regarding grain yield (Table 4). The isolated treatments of 2,4-D, bentazon, and pyroxsulam and the combinations of 2,4-D + deltamethrin, metsulfuron + deltamethrin, 2,4-D + methomyl, metsulfuron + methomyl, 2,4-D + chlorfluazuron, bentazon + chlorfluazuron, bentazon + azoxystrobin, 2,4-D + azoxystrobin, 2,4-D + propiconazole, 2,4-D + carbendazim, bentazon + carbendazim, and pyroxsulam + carbendazim stood out positively for the highest values of grain yield, being similar to that of the control, with values between 2,948 and 4,373 kg ha-1. Grain yield in the other treatments ranged from 1,536 to 2,802 kg ha-1. Also, all combinations of herbicides with the insecticide chlorpyrifos and most combinations with the fungicide propiconazole led to a reduction in grain yield when compared to the control. In general, the combinations previously mentioned with a predominance of low grain yields presented at least two yield components with lower values in comparison to treatments with higher grain yield (Table 4). Moreover, plants treated with metsulfuron in isolation showed a lower grain yield when compared to the control without application. This treatment provided the lowest NFT among all the treatments, which was probably determinant for the low grain yield. The GGE Biplot analysis was complementary to the Scott-Knott test (Table 5), assisting in identifying the positive (antagonistic or additive) or negative (synergistic) combinations of pesticides on wheat grain yield. The GGE Biplot model showed that the herbicide 2,4-D presented a positive association (strong or weak) with all insecticides/ fungicides (angle<90o) (Figure 2). It is an indication that, among all the combinations, those involving the herbicide 2,4-D affected wheat grain yield in a lower intensity. These results are similar to the data shown in Table 4. The herbicides pyroxsulam and bentazon showed a weak association with the fungicide carbendazim (angle ≌ 90o), but negative with the other fungicides and insecticides (angle>90o). The herbicide metsulfuron showed a weak positive association with the insecticides methomyl, chlorpyrifos, deltamethrin, and chlorfluazuron, but negative with the fungicides propiconazole, azoxystrobin, and carbendazim, as well as for the isolated application. It suggests that the combination of metsulfuron with specific insecticides can increase grain yield, as shown in Table 3. Table 5 Summary of positive (+) and negative (-) effects among the association of four herbicides, with four insecticides and fungicides, obtained trhough Scott-Knott clustering means and GGE Biplot methods, for grain yield in the wheat plants of ORS Vintecinco cultivar Insecticide/fungicide Pyroxsulam Metsulfuron Bentazon 2,4-D S-K(1) GGE(2) S-K GGE S-K GGE S-K GGE Without association +(3) +(4) - - + + + + Chlorfluazuron - - - + + - + + Chlorpyrifos - - - + - - - + Deltamethrin - - + + - - + + Methomyl - - + + - - + + Azoxystrobin - - - - + - + + Carbendazim + + - - + + + + Propiconazole - - - - - - + + (1) S-K = Scott-Knott; (2) GGE = GGE Biplot; (3) Considering the clustering generated by Scott Knott test “a = +” e “b = -”; (4) Considering positive associations with angle <90o, regardless of whether it is strong or weak. Figure 2 Plot of the main component scores (PC) for the grain yield variable of the ORS25 wheat cultivar, according to the GGE Biplot model, regarding the association between four different herbicides and eight insecticides/fungicides. Sasç: without association, Bent: bentazon, Mtsl: metsulfuron, Pyr: pyroxsulam, Clz: chlorfluazuron, Clp: chlorpyrifos, Dlt: deltamethrin, Met: methomyl, Azt: azoxystrobin, Prp: propiconazole e Cbd: carbendazim. The GGE Biplot analysis indicated a positive association between metsulfuron and chlorpyrifos for grain yield. Based on the mean yield of all combinations, it occurred because the combination metsulfuron + chlorpyrifos provided a slightly higher grain yield (Table 4). It was due to the compensation of NFT, which was higher when there was a combination with chlorpyrifos when compared to the isolated application of metsulfuron. According to other studies, injuries at early stages of wheat development are not always related to a reduction in grain yield, since they were transitory in most treatments, i.e., plants presented high recovery due to the phenotypic plasticity of the crop (Provenzi et al., 2012; Fioreze and Rodrigues, 2014), being able to compensate the moderate injury observed at early development stages. Similar results were obtained using combinations of the herbicides fenoxaprop-p-ethyl, prosulfuron + bromoxynil, and fluroxypyr + MCPA with the fungicides pyraclostrobin + metconazole, trifloxystrobin + propiconazole, azoxystrobin + propiconazole or picoxystrobin (Nader et al., 2015) in wheat. However, dichlorprop/2,4-D + azoxystrobin/propiconazole reduced grain yield of wheat plants by 10% when compared to their isolated application (Robinson et al., 2013). The high injury observed with the combination pyroxsulam + chlorpyrifos is in accordance with other studies carried out under field conditions. Reddy et al. (2010) also observed synergism in the combinations of these pesticides, reducing RT of wheat plants, but without compromising grain yield. Several factors may influence plant response to an herbicide or product combination, such as application stage, climate conditions, and even the differential tolerance presented by cultivars (Everitt and Keeling, 2009; Galon et al., 2010; Robinson et al., 2015). In this study, treatment application was carried out at the initial stage of tillering, which coincided with the beginning of determination of the number of spikelets per spike and spikes per plant (Zadoks et al., 1974). The high injury (reduction of RT and SDM), mainly due to the combination pyroxsulam + chlorpyrifos at the beginning of crop development, compromised especially NGS, reducing productive crop potential. Also, minimum temperatures lower than 10 oC were registered in the first days after treatment application (Figure 1). Low temperatures can reduce plant metabolism and consequently its growth rate, directly increasing sensitivity to herbicides (Robinson et al., 2015). Most of the treatments in which a reduction was observed in grain yield showed no high levels of visual injury. However, the injury can be manifested through biochemical and physiological changes, without influencing the morphological characteristics of the plant. In a sugarcane genotype sprayed with the herbicides ametryn (PSII inhibitor) and trifloxysulfuron-sodium (ALS inhibitor), no reduction was observed in shoot dry matter of plants, but there was a reduction of the photosynthetic rate and increased internal CO2 concentration (Galon et al., 2010). Negative effects provided by combinations between the herbicides pyroxsulam, metsulfuron, and bentazon, the insecticides chlorpyrifos and methomyl, and the fungicide propiconazole may be related to the main mechanism of tolerance of plants to these herbicides: herbicide detoxification by the action of cytochrome P450 enzymes (Yuan et al., 2007; Rojano-Delgado et al., 2015). It is the main enzymatic cluster responsible for detoxification of xenobiotics by plants. Insecticides belonging to the organophosphorus and carbamate groups and fungicides of the triazole group inhibit P450 enzymes (Werck-Reichhart et al., 2000; Sun et al., 2007; Chai et al., 2009; Rojano-Delgado et al., 2015). However, studies involving the use of triazole have been conducted only in vitro (Sun, 2007; Chai et al., 2009), without field studies, indicating the effect of the combination with herbicides. The inhibition process results in increased plant sensitivity to these herbicides, as observed in the present study. The differential response provided by chlorpyrifos, methomyl, and propiconazole may be related to the multiple forms of P450, as presented by Yun et al. (2001). Each of these pesticides may inhibit specific forms of P450, which do not necessarily act on the herbicides or act with a different inhibition level. Physiological and biochemical mechanisms responsible for increasing injuries due to herbicides combined with the insecticides deltamethrin and chlorfluazuron and the fungicides azoxystrobin and carbendazim are unknown. However, physical and chemical interactions at the time of mixing them may have an influence, but it was not investigated in the present study. Among the tested hypotheses, we confirmed that organophosphorus (chlorpyrifos) and carbamate (methomyl) insecticides might have increased the injury of the herbicides inhibiting ALS (pyroxsulam and metsulfuron) and PSII (bentazon) on wheat. However, although elevated, the injury provided by the combination metsulfuron + methomyl was not able to compromise crop grain yield. The hypothesis that strobilurin (azoxystrobin) would reduce herbicide injury was rejected in the present study, as RT and SDM of wheat plants were reduced in all combinations of herbicides with azoxystrobin. However, grain yield was only reduced when azoxystrobin was combined with the herbicides pyroxsulam and metsulfuron. For weed control, the synergism of pesticide combinations may have advantages, but it is not feasible when it results in compromised crop yield. Therefore, combinations of the herbicides bentazon, metsulfuron, and pyroxsulam with most of the insecticides/fungicides evaluated in this study can cause losses, being safer their use in isolation. Metsulfuron adversely affected grain yield of the cultivar ORS Vintecinco, even when applied alone. The combinations of this herbicide with methomyl and deltamethrin presented a greater safety since they did not compromise grain yield. Among the tested treatments, those using 2,4-D resulted in lower/no impact on the wheat crop, indicating that its combination with the evaluated insecticides/fungicides can be positive, mainly from an operational point of view and reduction of crushing losses. The negative implications that combinations of the organophosphorus insecticide chlorpyrifos can cause on the wheat crop should be highlighted since it increased injuries and compromised grain yield, regardless of the combined herbicide. Propiconazole was the fungicides that most affected grain yield when associated with bentazon, metsulfuron, and pyroxsulam. In general, among the evaluated insecticides/fungicides, carbendazim led to a lower interference in grain yield, suggesting that its combination with 2,4-D, bentazon, metsulfuron, and pyroxsulam would imply lower risks in crop management. REFERENCES Agostinetto D, Rigoli RP, Schaedler CE, Tironi SP, Santos LS. Período crítico de competição de plantas daninhas com a cultura do trigo. Planta Daninha. 2008;26(2):271-8. Agostinetto D Rigoli RP Schaedler CE Tironi SP Santos LS Período crítico de competição de plantas daninhas com a cultura do trigo Planta Daninha 2008 26 2 271 278 Ahrens WH, Panaram WR. Basis for thifensulfuron-insecticide synergism in soybeans (Glycine max) and corn (Zea mays). Weed Sci. 1997;6(4):648-53. Ahrens WH Panaram WR Basis for thifensulfuron-insecticide synergism in soybeans (Glycine max) and corn (Zea mays) Weed Sci 1997 6 4 648 653 Baerg RJ, Barret M, Polge D. Insecticide and insecticide metabolite interactions with cytochrome P450 mediated activities in maize. Pest Biochem Physiol.1996;55(1):10-20. Baerg RJ Barret M Polge D Insecticide and insecticide metabolite interactions with cytochrome P450 mediated activities in maize Pest Biochem Physiol 1996 55 1 10 20 Biediger DL, Baumann PA, Weaver DN, Chandle JM. Interactions between primisulfuron and selected soil applied insecticides in corn (Zea mays), Weed Technol. 1992;6(4):807-12. Biediger DL Baumann PA Weaver DN Chandle JM Interactions between primisulfuron and selected soil applied insecticides in corn (Zea mays) Weed Technol 1992 6 4 807 812 Companhia Nacional de Abastecimento - Conab. Quarto levantamento, janeiro de 2016. [acesso em: 24 abr. 2017]. Disponível em: Disponível em: http://www.conab.gov.br/OlalaCMS/uploads/arquivos/16_01_12_09_00_46_boletim_graos_janeiro_2016.pdf . Companhia Nacional de Abastecimento - Conab Quarto levantamento, janeiro de 2016 24 abr. 2017 Disponível em: http://www.conab.gov.br/OlalaCMS/uploads/arquivos/16_01_12_09_00_46_boletim_graos_janeiro_2016.pdf Sistema de Agrotóxicos Fitossanitários. - AGROFIT. [acesso em: 11 mar. 2018]. Disponível em: Disponível em: http://agrofit.agricultura.gov.br/agrofit_cons/principal_agrofit_cons . Sistema de Agrotóxicos Fitossanitários. - AGROFIT 11 mar. 2018 Disponível em: http://agrofit.agricultura.gov.br/agrofit_cons/principal_agrofit_cons Campbell JR, Penner D. Enhanced phytotoxicity of bentazon with organophosphate and carbamate insecticides. Weed Sci. 1982;30(3):324-6. Campbell JR Penner D Enhanced phytotoxicity of bentazon with organophosphate and carbamate insecticides Weed Sci 1982 30 3 324 326 Chai X, Zhang J, Hu H, Yu S, Sun Q, Dan Z, et al. Design, synthesis, and biological evaluation of novel triazole derivatives as inhibitors of cytochrome P450 14a-demethylase. Eur J Med Chem. 2009;44(5):1913-20. Chai X Zhang J Hu H Yu S Sun Q Dan Z Design, synthesis, and biological evaluation of novel triazole derivatives as inhibitors of cytochrome P450 14a-demethylase Eur J Med Chem 2009 44 5 1913 1920 Colby SR. Calculating synergistic and antagonistic responses of herbicide combinations. Weed Sci Soc Am. 1967;15(1):20-2. Colby SR Calculating synergistic and antagonistic responses of herbicide combinations Weed Sci Soc Am 1967 15 1 20 22 Correa D, Nakai EH, Marco Junior J, Costa Junior AC. Eficiência de fungicidas no controle de doenças foliares do trigo no Paraná. Acta Iguazu. 2013;2(1):20-8. Correa D Nakai EH Marco J Junior Costa AC Junior Eficiência de fungicidas no controle de doenças foliares do trigo no Paraná Acta Iguazu 2013 2 1 20 28 Cromey MG, Lauren DR, Parkes RA, Sinclair KI, Shorter SC, Wallace AR. Control os Fusarium head blight of wheat with fungicides. Aust Plant Pathol. 2001;30(4):301-8. Cromey MG Lauren DR Parkes RA Sinclair KI Shorter SC Wallace AR Control os Fusarium head blight of wheat with fungicides Aust Plant Pathol 2001 30 4 301 308 Everitt JD, Keeling JW. Cotton growth and yield response to simulated 2, 4-D and dicamba drift. Weed Technol. 2009;23(4):503-6. Everitt JD Keeling JW Cotton growth and yield response to simulated 2, 4-D and dicamba drift Weed Technol 2009 23 4 503 506 Ferreira EB, Cavalcanti PP, Nogueira DA. ExpDes: Experimental designs package R package version 1.1.1, 2011. [acesso em: 19 out. 2016]. Disponível em: Disponível em: https://cran.r-project.org/web/packages/ExpDes.pt/ExpDes.pt.pdf . Ferreira EB Cavalcanti PP Nogueira DA ExpDes: Experimental designs package R package version 1.1.1, 2011 19 out. 2016 Disponível em: https://cran.r-project.org/web/packages/ExpDes.pt/ExpDes.pt.pdf Fioreze SL, Rodrigues JD. Componentes produtivos do trigo afetados pela densidade de semeadura e aplicação de regulador vegetal. Semina: Cienc Agr. 2014;35(1):39-54. Fioreze SL Rodrigues JD Componentes produtivos do trigo afetados pela densidade de semeadura e aplicação de regulador vegetal Semina: Cienc Agr 2014 35 1 39 54 Frans R, Talbert R, Marx D, Crowley H. Experimental design and techniques for measuring and analysing plant responses to weed control practices. In: Camper ND. Research methods in weed science. 3rd. ed. Champaign: Southern Weed Science Society; 1986. p.29-46. Frans R Talbert R Marx D Crowley H Experimental design and techniques for measuring and analysing plant responses to weed control practices Camper ND Research methods in weed science 3rd Champaign Southern Weed Science Society 1986 29 46 Frutos E, Galindo MP, Leiva V. An interactive biplot implementation in r for modeling genotype-by environment interaction. Stoch Environ Res Risk Assess. 2014;28(7):1629-41. Frutos E Galindo MP Leiva V An interactive biplot implementation in r for modeling genotype-by environment interaction Stoch Environ Res Risk Assess 2014 28 7 1629 1641 Galon L, Castoldi CT, Forte CT, Kujawiski R, David FA, Perin GF, et al. Efficacy and phytotoxicity of herbicides applied for the handling of weeds that infest wheat. Rev Bras Herbic. 2015;14(2):128-40. Galon L Castoldi CT Forte CT Kujawiski R David FA Perin GF Efficacy and phytotoxicity of herbicides applied for the handling of weeds that infest wheat Rev Bras Herbic 2015 14 2 128 140 Galon L, Ferreira FA, Silva AA, Concenço G, Ferreira EA, Barbosa MHP, et al. Influência de herbicidas na atividade fotossintética de genótipos de cana-de-açúcar. Planta Daninha. 2010;28(3);591-7. Galon L Ferreira FA Silva AA Concenço G Ferreira EA Barbosa MHP Influência de herbicidas na atividade fotossintética de genótipos de cana-de-açúcar Planta Daninha 2010 28 3 591 597 Gazziero DLP. Misturas de agrotóxicos em tanque nas propriedades agrícolas do Brasil. Planta Daninha. 2015;33(1):83-92. Gazziero DLP Misturas de agrotóxicos em tanque nas propriedades agrícolas do Brasil Planta Daninha 2015 33 1 83 92 Lancaster SH, Jordan DL, Spears JF, York AC, Wilcut JW, Monks DW. Sicklepod (Senna obtusifolia) Control and seed production after 2,4-DB applied alone and with fungicides or insecticides. Weed Technol. 2005;19(2):451-55. Lancaster SH Jordan DL Spears JF York AC Wilcut JW Monks DW Sicklepod (Senna obtusifolia) Control and seed production after 2,4-DB applied alone and with fungicides or insecticides Weed Technol 2005 19 2 451 455 Matsunaka S. Propanil hydrolysis: Inhibition in rice plants by insecticides. Science. 1968;160(1):1360-1. Matsunaka S Propanil hydrolysis: Inhibition in rice plants by insecticides Science 1968 160 1 1360 1361 McRae DH, Yih RY, Wilson HF. A biochemical mechanism for the selective action of anilides, Weed Sci Soc Am. 1964;1(1):87. McRae DH Yih RY Wilson HF A biochemical mechanism for the selective action of anilides Weed Sci Soc Am 1964 1 1 87 87 Nader S, Shropshire C, Sikkema PH. Responses of winter wheat to herbicide-fungicide tankmixes. Agric Sci. 2015;6(11):1352-56. Nader S Shropshire C Sikkema PH Responses of winter wheat to herbicide-fungicide tankmixes Agric Sci 2015 6 11 1352 1356 Oerke EC. Crop losses to pests. J Agric Sci. 2006;144(1):31-43. Oerke EC Crop losses to pests J Agric Sci 2006 144 1 31 43 Pagnoncelli Jr FDB, Vidal RA, Trezzi MM, Machado A, Gallon M, Xavier E, et al. Tolerance of common bean plants to ethoxysulfuron herbicide and the mechanism involved in the process. Planta Daninha. 2016;34(3):535-43. Pagnoncelli FDB Jr Vidal RA Trezzi MM Machado A Gallon M Xavier E Tolerance of common bean plants to ethoxysulfuron herbicide and the mechanism involved in the process Planta Daninha 2016 34 3 535 543 Paula JM, Agostinetto D, Schaedler CE, Vargas L, Silva DRO. Competição de trigo com azevém em função de épocas de aplicação de nitrogênio. Planta Daninha. 2011;29(3):557-62. Paula JM Agostinetto D Schaedler CE Vargas L Silva DRO Competição de trigo com azevém em função de épocas de aplicação de nitrogênio Planta Daninha 2011 29 3 557 562 Pereira PRVS, Marsaro Júnior AL, Lau D, Panizzi AR, Salvador JR. Manejo de insetos-praga. In: Borém A, Scheeren PL. Trigo: do plantio à colheita. Viçosa, MG: Empresa Brasileira de Pesquisa Agropecuária; 2015. p.185-202. Pereira PRVS Marsaro AL Júnior Lau D Panizzi AR Salvador JR Manejo de insetos-praga Borém A Scheeren PL Trigo: do plantio à colheita Viçosa, MG Empresa Brasileira de Pesquisa Agropecuária 2015 185 202 Provenzi FD, Bergamo R, Debastiani W, Balbinot Junior AA. Arranjo espacial de plantas em duas cultivares de trigo. Unoesc Cienc - ACET. 2012;3(1):31-6. Provenzi FD Bergamo R Debastiani W Balbinot AA Junior Arranjo espacial de plantas em duas cultivares de trigo Unoesc Cienc - ACET 2012 3 1 31 36 Reddy SS, Stahlman PW, Geier PW. Pyroxsulam and Chlorpyrifos applied the same day injures wheat. Crop Manag. 2010;11(1):31-6. Reddy SS Stahlman PW Geier PW Pyroxsulam and Chlorpyrifos applied the same day injures wheat Crop Manag 2010 11 1 31 36 Rigoli RP, Agostinetto D, Schaedler CE, Dal Magro T, Tironi S. Habilidade competitiva relativa do trigo (Triticum aestivum) em convivência com azevém (Lolium multiflorum) ou nabo (Raphanus raphanistrum). Planta Daninha. 2008;26(1):93-100. Rigoli RP Agostinetto D Schaedler CE Dal Magro T Tironi S Habilidade competitiva relativa do trigo (Triticum aestivum) em convivência com azevém (Lolium multiflorum) ou nabo (Raphanus raphanistrum) Planta Daninha 2008 26 1 93 100 Robinson MA, Cowbrough MJ, Sikkema PH, Tardif FJ. Winter wheat (Triticum aestivum L.) tolerance to mixtures of herbicides and fungicides applied at different timings. Can J Plant Sci. 2013;93(3):491-01. Robinson MA Cowbrough MJ Sikkema PH Tardif FJ Winter wheat (Triticum aestivum L.) tolerance to mixtures of herbicides and fungicides applied at different timings Can J Plant Sci 2013 93 3 491 401 Robinson MA, Letarte J, Cowbrough MJ, Sikkema PH, Tardif FJ. Winter wheat (Triticum aestivum L.) response to herbicides as affected by application timing and temperature. Can J Plant Sci. 2015;95:325-33. Robinson MA Letarte J Cowbrough MJ Sikkema PH Tardif FJ Winter wheat (Triticum aestivum L.) response to herbicides as affected by application timing and temperature Can J Plant Sci 2015 95 325 333 Rojano-Delgado AM, Priego-Capote F, Castro MDL, Prado R. Mechanism of imazamox resistance of the Clearfield® wheat cultivar for better weed control. Agron Sust Develop. 2015;35(2):639-48. Rojano-Delgado AM Priego-Capote F Castro MDL Prado R Mechanism of imazamox resistance of the Clearfield® wheat cultivar for better weed control Agron Sust Develop 2015 35 2 639 648 Silva AA, Freitas FM, Ferreira LR, Jakelaitis A. Efeitos de mistura de herbicida com inseticida sobre a cultura do milho, as plantas daninhas e a lagarta-do-cartucho. Planta Daninha. 2005;23(3):517-25. Silva AA Freitas FM Ferreira LR Jakelaitis A Efeitos de mistura de herbicida com inseticida sobre a cultura do milho, as plantas daninhas e a lagarta-do-cartucho Planta Daninha 2005 23 3 517 525 Sun QY, Xu J-M, Cao Y-B, Zhang W-N, Wu Q-Y, Zhang D-Z, et al. Synthesis of novel triazole derivatives as inhibitors of cytochrome P450 14a-demethylase (CYP51). Eur J Med Chem. 2007;42(9):1226-33. Sun QY Xu J-M Cao Y-B Zhang W-N Wu Q-Y Zhang D-Z Synthesis of novel triazole derivatives as inhibitors of cytochrome P450 14a-demethylase (CYP51) Eur J Med Chem 2007 42 9 1226 1233 Vargas L, Roman ES. Seletividade de herbicidas em cereais de inverno. Rev Bras Herb. 2005;4(3):1-10. Vargas L Roman ES Seletividade de herbicidas em cereais de inverno Rev Bras Herb 2005 4 3 1 10 Werck-Reichhart D, Hehn A, Didierjean L. Cytochromes P450 for engineering herbicide tolerance. Trends Plant Sci. 2000;5(3):116-23. Werck-Reichhart D Hehn A Didierjean L Cytochromes P450 for engineering herbicide tolerance Trends Plant Sci 2000 5 3 116 123 Yan W, Hunt LA, Sheng Q, Szlavnics Z. Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 2000;40(3):597-605. Yan W Hunt LA Sheng Q Szlavnics Z Cultivar evaluation and mega-environment investigation based on the GGE biplot Crop Sci 2000 40 3 597 605 Yuan JS, Tranel PJ, Stewart CN. Non-target-site herbicide resistance: a family business. Trends Plant Sci. 2007;12(1):6-13. Yuan JS Tranel PJ Stewart CN Non-target-site herbicide resistance: a family business Trends Plant Sci 2007 12 1 6 13 Yun MS, Shim LS, Usui K. Involvement of cytochrome P-450 enzyme activity in the selectivity and safening action of pyrazosulfuron-ethyl. Pest Manage Sci. 2001;(57):283-8. Yun MS Shim LS Usui K Involvement of cytochrome P-450 enzyme activity in the selectivity and safening action of pyrazosulfuron-ethyl Pest Manage Sci 2001 57 283 288 Zadoks JC, Chang TT, Konzak CF. A decimal code for the growth satges of cereals. Weed Res. 1974;14:415-21. Zadoks JC Chang TT Konzak CF A decimal code for the growth satges of cereals Weed Res 1974 14 415 421