rbeaa
Revista Brasileira de Engenharia Agrícola e Ambiental
Rev. bras. eng. agríc. ambient.
1415-4366
1807-1929
Departamento de Engenharia Agrícola - UFCG
RESUMO
Objetivou-se com o trabalho avaliar o acúmulo no solo de sais provenientes da água de irrigação e de N e K provenientes da adubação. O experimento foi conduzido em colunas de PVC (20 cm de diâmetro e 100 cm de altura), preenchidas com solo arenoso, não salino, cultivado com milho. Utilizou-se delineamento em blocos inteiramente casualizados em arrajamento fatorial 4 x 4, composto por quatro níveis de salinidade (0,5, 2,5, 5,0 e 7,5 dS m-1) e quatro doses de N, com cinco repetições. As quatro doses de N, aplicadas como ureia e nitrato de potássio, foram as seguintes: N1: seguindo a recomendação de N para o milho (2,6 g coluna-1); N2: 0,3 vezes N1 (0,78 g coluna-1); N3 e N4: Taxa reduzida de N1 e N2, respectivamente, com base na redução da evapotranspiração causada pela salinidade. Aos 74 dias após o plantio foram coletadas as raízes e amostras de diferentes camadas do solo. A condutividade elétrica do extrato saturado (CEes) e as concentrações de íons (Ca, Na e Cl) aumentaram em função da salinidade e da profundidade. O contrário foi observado no sistema radicular. O aumento da salinidade provocou o acúmulo de K e NO3- nas colunas de solo, principalmente nas maiores doses de N (N1 e N3). Para o tratamento de maior salinidade (7,5 dS m-1) e maior dose de N (N1) verificou-se que 88% do NO3- encontrava-se abaixo de 20 cm do solo ao final do experimento, mostrando perda por lixiviação.
Introduction
Salt-stress effects on plant development are mainly due to osmotic and toxic components, which cause reduction in stomatal opening, photosynthetic activity, nutrient uptake and balance, transpiration, and plant growth (Azevedo Neto & Tabosa, 2000; Munns & Tester, 2008; Willadino & Camara, 2010; Prisco et al., 2016; Tagliaferre et al., 2016). The reduction in water uptake and plant (root and shoot) growth caused by salinity culminates with the reduced capacity of the plant to extract nutrients from the soil, especially those required in larger quantities by plants (Shenker et al., 2003; Ramos et al., 2012; Lacerda et al., 2016b).
Although positive responses to nutrient supplementation have been observed in plants under salt-stress (Hu & Schmidhalter, 2005), especially under conditions of low soil fertility (Grattan & Grieve, 1999), these responses are not present at the same intensity as found in non-saline conditions (Irshad et al., 2008; Lacerda et al., 2016a,b), resulting in nutrient losses and reduced N use efficiency. As a consequence, a large percentage of the nutrients applied to the soil can be lost mainly by leaching, causing economic losses and contamination of ground water (Shenker et al., 2003; Segal et al., 2010; Ramos et al., 2012; Mendes et al., 2016). This problem is aggravated in the case of nutrients with high soil mobility, such as nitrate. The objective of this study was thus to measure and quantify the losses of N and K from soil cultivated with maize under salt-stress using soil columns.
Material and Methods
The experiment was conducted at the US Salinity Laboratory (ARS - USDA), Riverside, CA (33o 59’ N; 117o 21’ W), from September 13th to November 26th, 2013. During the experiment the average maximum, minimum, and average air temperature were 26.7, 12.8 and 20 ºC, respectively. Maize plants were grown in columns of polyvinyl chloride (PVC) with 20 cm in diameter and 100 cm in length. Columns were filled with sieved (5-mm mesh) non-saline (ECe of 1.6 dS m-1) sandy loam soil with pH 6.8, collected from a site near to the experimental area. A nylon mesh and a cap adapted with a drainage pipe were attached to the bottom of each PVC tube to retain the soil, but allow the drainage water to pass and to be collected into 1-L glass bottles with wide mouths set below the drainage pipes (Lacerda et al., 2016b).
The experiment was conducted in a completely randomized block design following a 4 x 4 factorial arrangement, composed of four levels of salinity (S1 = 0.5; S2 = 2.5; S3 = 5.0; and S4 = 7.5 dS m-1) and four N rates, with five replications. Saline treatments were obtained by adding NaCl, CaCl2.2H2O, and MgCl2.6.H2O salts in a 7:2:1 molar charge ratio (Mc), according to the approximate relationship between ECw and concentration (mmolc L-1 = ECw x 10). Irrigation was performed every other day. During the experiment, two rain events occurred (13 and 25 mm). The average leaching fraction for treatments S1, S2, S3 and S4 were respectively, 0.16, 0.17, 0.19, and 0.23, considering both irrigation and rainfall quantities.
The four N rates, applied as urea and potassium nitrate, were as follows: N1: N recommendation for maize in California (206 kg ha-1); N2: 0.3 times the N recommendation for maize in California (62 kg ha-1), N3, reduction based on N1 considering the decrease in evapotranspiration caused by salinity in the previous stage; N4, reduction based on N2 considering the decrease in evapotranspiration caused by salinity in the previous stage. The proportions of N for all treatments were described by Lacerda et al. (2016b).
The N and K application (120 kg ha-1 of K2O) in each treatment was distributed during the vegetative growth stage as follows: 15% at sowing; 25%-20 days after sowing (DAS); 30%-35 DAS, and 30%-50 DAS. The other nutrients were applied following technical recommendations for maize in California (Lacerda et al., 2016b).
Five seeds of maize (Zea mays L.) cv. Nothstine Dent OG Lot # 41629 (Johnny’s Selected Seeds, Winslow, ME, USA) were sown per column. Thinning was done seven DAS, leaving only one plant per column. The treatments with saline waters were initiated eight DAS.
Four soil samples per column, at different depths (0-20, 20-40, 40-60, and 60-80 cm), were collected at the end of the experiment (74 DAS). The electrical conductivity of the soil saturation extract (ECe) was determined according to Richards (1954). The concentrations of nitrate, K, Na, Ca and Cl were also determined in the saturation extract. Concentrations of K, Na and Ca were obtained by plasma optical emission spectrometry (AOAC, 1990), Cl by the methodology given by Gaines et al. (1984) and the nitrate concentration according to the salicylic acid method (Cataldo et al., 1975). The root biomass of each soil column was also measured at the end of the experiment.
The differences among salt treatments, N application, and the interaction between salt and N were tested using a twoway analysis of variance (F test). The regression analysis and Tukey’s test were used to evaluate the effects of salinity and N application, respectively.
Results and Discussion
The results of the analysis of variance related to the effects of salinity (S) of the irrigation water, nitrogen rates (N), and the interactions between S x N, and between S and N with soil depth layers (L) are given in Table 1.
Table 1
Summary of the analysis of variances of the data for root dry mass (RDM), saturation extract electrical conductivity (ECe), sodium (Na), calcium (Ca), magnesium (Mg), chloride (Cl), potassium (K), and nitrate (NO3), in soil cultivated with maize as related to different levels of salinity, nitrogen rates, and soil layers
SV
DF
Mean squares
RDM1
ECe
Na
Ca
Mg
Cl
K
NO3
Block
3
2.31**
0.35ns
57.55ns
33.86ns
12.43ns
52.40ns
0.32**
8540.93ns
Salinity (S)
3
18.85**
602.05**
12402.85**
9257.81**
1652.22**
60027.88**
1.69**
429679.23**
Nitrogen (N)
3
0.421ns
6.01**
78.90*
210.63**
27.23*
12.06ns
0.047*
3283250.54**
Layer (L)
3 (2)
124.63**
368.73**
3645.25**
16803.36**
3472.97**
36461.73**
0.658**
212734.58**
Interation (SxN)
9
0.63ns
1.20ns
31.21ns
27.43ns
4.73ns
180.43ns
0.028*
109396.97**
Interation (SxL)
9 (6)
8.76**
41.40**
1486.06**
1966.04**
379.89**
4527.51**
0.259**
96982.79**
Interation (NxL)
9 (6)
0.296ns
3.06**
41.96ns
175.58**
26.32**
212.93**
0.022ns
246939.99**
Interation (SxNxL)
27 (18)
0.407ns
0.77ns
21.24ns
37.98ns
7.12ns
151.87ns
0.011ns
33713.07**
Error
189 (141)
0.378
1
21.82
52.37
8.76
175.21
0.0124
7558.48
C.V (%)
-
44.89
19.77
21.84
35.75
33.82
33.04
23.48
26.87
ns,**,*No-significant and significant at 0,01 and 0,05 probability by the F test, respectively; DF - Degrees of freedom; “( )” - Values of degree of freedom and error used for the root dry mass (RDM) (determined for only 3 soil layers); "1" - Root dry mass (found only until the third layer of soil); C.V - Coefficient of variation
There was a statistically significant interaction at a 1% probability level (F test) between the salinity of the irrigation water and the soil layers for all parameters evaluated (ECe, salt, and mineral nutrients). Salinity of the irrigation water is one of the main factors that contributes to lesser utilization of nutrients by plants, thus increasing their accumulation in the soil. In turn, development of the root system is compromised due to the increased concentration of salts in the soil (Willadino & Camara, 2010; Prisco et al., 2016; Santos et al., 2016; Tagliaferre et al., 2016).
The root dry mass (RDM) decreased with increasing soil depth and with the increased salinity of the applied water (Figure 1).
Figure 1
Effect of salinity of irrigation water (0.5, 2.5, 5 and 7.5 dS m-1) and soil depth on root dry mass per plant
The data agree with previous observations that the plant root system, especially for grasses, is concentrated in the top 30 cm of soil, decreasing with depth from the surface. However, the decrease in root dry mass was accentuated by the increase in the salt concentration in the irrigation water, as verified by the statistically significant interaction S x L (Table 1). This effect became more evident in the first 10 cm of the soil, where the plants that received low-salt irrigation water (0.5 dS m-1) had 4.5 g of roots while the treatment with the highest concentration of salts had a mean of 1.2 g.
Salinity is one of the main factors that reduce crop productivity. Inhibition of plant growth (root and shoot) due to salt-stress may be caused by the reduction of osmotic potential and/or excessive accumulation of ions, which may induce ionic toxicity, nutritional imbalance or both (Munns & Tester, 2008; Lacerda et al., 2016b). Salinity effects (osmotic, toxic and nutritional) reduce the net assimilation of CO2, accelerate the senescence of mature leaves, and inhibit leaf expansion, thus reducing the area destined to the photosynthetic process (Lacerda et al., 2003; Munns & Tester, 2008).
The soil chemical characteristics were affected by the treatments, as evidenced by the increase in the electrical conductivity of the soil-saturated extract as a function of salinity of irrigation water (Figure 2A). As expected, the highest ECe values were observed in the treatment with the highest salt concentration (S4 = 7.5 dS m-1), while the lowest values occurred in the treatments with lower salt concentrations, respectively, S1 (0.5 dS m-1) and S2 (2.5 dS m-1). It was also verified that the increase in ECe in deeper soil layers was caused mainly by the downwards flow of the irrigation water causing the leaching of salts and increase in ECe with depth (Figure 2A).
Figure 2
Electrical conductivity (A), soluble Na (B), soluble Ca (C), soluble Cl (D), soluble Mg (E) and soluble K (F) in saturation extract of soil in different depths as a function of irrigation water salinity (S1 - 0.5; S2 - 2.5; S3 - 5.0 and S4 - 7.5 dS m-1)
Water entering the soil is able to solubilize the chemical elements (mainly the chlorides and sulphates) in the upper part of the profile and translocate them to deeper layers (Brady & Weil, 2013; Mendes et al., 2016). Irrigation water itself (saline or brackish water) contributes to the increase in salt concentration and, consequently, to the increase in soil electrical conductivity (Ayers & Westcot, 1999).
An increase was observed in the concentration of soluble sodium, calcium, magnesium and chloride in the soil with increasing irrigation water salinity (Figures 2B, C, D and E). This trend is due to the chemical composition of the saline waters used for irrigation. According to Medeiros et al. (2016), the main elements present in saline water are the cations Na+, Ca2+ and Mg2+ and the anions Cl-, SO42- and HCO3-. Thus, the accumulation of Ca2+, Mg2+, Cl- and, especially Na+ in soils irrigated with saline waters is to be expected, and the higher the concentration of these elements in the irrigation water, the greater the accumulation of these constituents in the soil (Ayers & Westcot, 1999).
All treatments received the same amount of potassium, but the potassium distribution in the soil was similar to that of other cations, that is, more accentuated in the treatments with higher concentration of salts (Figure 2F) and higher nitrogen rates (Figure 3).
Figure 3
Mean values of potassium concentration in the soil saturation extracts in response to the combination of four levels (S1 to S4) of salinity (0.5, 2.5, 5.0 and 7.5 dS m-1), and four rates of N (N1 - N recommendation for maize (2.6 g column-1); N2 - 0.3 times of recommendation N1 (0.78 g column-1); N3 and N4 - Reduced rate of N1 and N2, respectively, based on the reduction in evapotranspiration caused by salinity. Each bar represents the average value of the four layers of soil
Capital letters identify statistical differences for different salinity treatments at the same N application. Lowercase letters identify statistical differences for different N application treatments at the same salinity level
The largest K concentrations occurred in the treatment with the highest N and salt in the irrigation water (Figure 3). The concentration of K in the soil extracts of the S4N1 treatment was approximately 153% greater than found in the treatments with lower N levels and lower salt concentration (S1N2 and S1N4). Root growth under salt-stress was restricted by both the osmotic and toxic effects of the salt ions (Figure 1), which resulted in lower nutrient uptake by plants and inhibited translocation of mineral nutrients, especially K (Figures 2F and Figure 3). Shabala & Cuin (2008) attributed the low potassium use efficiency in plants under salt stress to the physicochemical similarities between Na+ and K+. According to the authors, sodium competes with potassium inside the plant for ionic transport sites and metabolic processes.
Low nitrate accumulation (NO3-) in the soil was recorded in treatments with different N rates and irrigation using fresh water (S1N1, S1N2, S1N3 and S1N4) (Figure 4A), especially in treatments with reduced amounts of N (S1N2 and S1N4).
Figure 4
Soil nitrate accumulation caused by irrigation water salinity and four rates of nitrogen (N1 to N4). A - 0.5 (S1); B - 2.5 (S2); C - 5.0 (S3); D - 7.5 dS m-1 (S4)
Nitrate was the only evaluated parameter that presented a significant interaction (salinity x soil layer x N rate), as shown in Table 1. In treatments with higher levels of nitrogen (N1 and N3), NO3- accumulation was observed in the deeper regions of the soil. This effect became more evident when higher salt concentrations were used (starting at 2.5 dS m-1), according to Figures 4B, C and D. In the treatment with saline water (7.5 dS m-1) and 100% of N recommendation for maize crop (S4N1), 88% of nitrate was below 20 cm of soil depth.
The soil extract results showed a high loss of N due to the leaching of NO3-, as well as to the low N utilization by the crop under saline irrigation. Under salt-stress conditions, the processes of absorption and assimilation of nutrients by plants are affected, mainly nitrate, which is the main source of nitrogen in agricultural soils and, most frequently, limits the growth of plants (Meloni et al., 2004). The marked reduction in root growth in treatments with elevated salinity (Figure 1) reduces the potential of utilization of N and others nutrients (Shenker et al., 2003; Segal et al., 2010; Ramos et al., 2012). Moreover, the increase in electrical conductivity can affect the movement of nutrients in the soil because it reduces its displacement by mass flow, mainly restricting nitrogen and potassium uptake (Santos et al., 2016).
Nutrients losses by leaching below the root zone may be more significant in systems where plants are subject to saline stress. In this situation, plants tend to decrease growth and water use, mainly due to the osmotic effects and salinity toxicity of sodium and chloride (Lacerda et al., 2003; Munns & Tester, 2008; Lacerda et al., 2016b). Furthermore, leaching losses had the most significance for nutrients needed in higher concentrations by the plant (such as N) and fertilizers highly soluble in water, such as containing nitrate.
Conclusions
Nitrate and potassium accumulation, especially in the soil layers below 20 cm depth, was observed in the treatments with high salinity, evidence of losses of these elements by leaching below the rootzone.
The increase in electrical conductivity of irrigation water caused a significant reduction in maize root biomass, especially in the upper 20 cm of soil.
Acknowledgments
Authors acknowledge the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Instituto Nacional de Ciência e Tecnologia em Salinidade (INCTSal), and Universidade Federal do Ceará, Brazil, for financial support provided to the senior author. Additional support, such as technical assistance and consumables, was provided by US Salinity Laboratory (ARS/USDA).
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Autoria
Claudivan F. de Lacerda cfeitosa@ufc.br (Corresponding author)
Universidade Federal do Ceará/Centro de Ciências Agrárias/Departamento de Engenharia Agrícola. Fortaleza, CE. E-mail: cfeitosa@ufc.br (Corresponding author) - ORCID: 0000-0002-5324-8195; emanueldiasfreitas@gmail.com - ORCID: 0000-0002-8829-9486; alburibeiro@hotmail.com - ORCID: 0000-0001-5823-7615Universidade Federal do CearáBrazilFortaleza, CE, BrazilUniversidade Federal do Ceará/Centro de Ciências Agrárias/Departamento de Engenharia Agrícola. Fortaleza, CE. E-mail: cfeitosa@ufc.br (Corresponding author) - ORCID: 0000-0002-5324-8195; emanueldiasfreitas@gmail.com - ORCID: 0000-0002-8829-9486; alburibeiro@hotmail.com - ORCID: 0000-0001-5823-7615
United States Department of Agriculture/US Salinity Laboratory. Riverside, California. E-mail: jorge.ferreira@ars.usda.gov - ORCID: 0000-0003-4550-6761; donald.suarez@ars.usda.gov - ORCID: 0000-0001-8583-2161; xuan.liu@ars.usda.gov - ORCID: 0000-0002-6952-0915United States Department of AgricultureEUARiverside, California, EUAUnited States Department of Agriculture/US Salinity Laboratory. Riverside, California. E-mail: jorge.ferreira@ars.usda.gov - ORCID: 0000-0003-4550-6761; donald.suarez@ars.usda.gov - ORCID: 0000-0001-8583-2161; xuan.liu@ars.usda.gov - ORCID: 0000-0002-6952-0915
United States Department of Agriculture/US Salinity Laboratory. Riverside, California. E-mail: jorge.ferreira@ars.usda.gov - ORCID: 0000-0003-4550-6761; donald.suarez@ars.usda.gov - ORCID: 0000-0001-8583-2161; xuan.liu@ars.usda.gov - ORCID: 0000-0002-6952-0915United States Department of AgricultureEUARiverside, California, EUAUnited States Department of Agriculture/US Salinity Laboratory. Riverside, California. E-mail: jorge.ferreira@ars.usda.gov - ORCID: 0000-0003-4550-6761; donald.suarez@ars.usda.gov - ORCID: 0000-0001-8583-2161; xuan.liu@ars.usda.gov - ORCID: 0000-0002-6952-0915
United States Department of Agriculture/US Salinity Laboratory. Riverside, California. E-mail: jorge.ferreira@ars.usda.gov - ORCID: 0000-0003-4550-6761; donald.suarez@ars.usda.gov - ORCID: 0000-0001-8583-2161; xuan.liu@ars.usda.gov - ORCID: 0000-0002-6952-0915United States Department of AgricultureEUARiverside, California, EUAUnited States Department of Agriculture/US Salinity Laboratory. Riverside, California. E-mail: jorge.ferreira@ars.usda.gov - ORCID: 0000-0003-4550-6761; donald.suarez@ars.usda.gov - ORCID: 0000-0001-8583-2161; xuan.liu@ars.usda.gov - ORCID: 0000-0002-6952-0915
Universidade Federal do Ceará/Centro de Ciências Agrárias/Departamento de Engenharia Agrícola. Fortaleza, CE. E-mail: cfeitosa@ufc.br (Corresponding author) - ORCID: 0000-0002-5324-8195; emanueldiasfreitas@gmail.com - ORCID: 0000-0002-8829-9486; alburibeiro@hotmail.com - ORCID: 0000-0001-5823-7615Universidade Federal do CearáBrazilFortaleza, CE, BrazilUniversidade Federal do Ceará/Centro de Ciências Agrárias/Departamento de Engenharia Agrícola. Fortaleza, CE. E-mail: cfeitosa@ufc.br (Corresponding author) - ORCID: 0000-0002-5324-8195; emanueldiasfreitas@gmail.com - ORCID: 0000-0002-8829-9486; alburibeiro@hotmail.com - ORCID: 0000-0001-5823-7615
United States Department of Agriculture/US Salinity Laboratory. Riverside, California. E-mail: jorge.ferreira@ars.usda.gov - ORCID: 0000-0003-4550-6761; donald.suarez@ars.usda.gov - ORCID: 0000-0001-8583-2161; xuan.liu@ars.usda.gov - ORCID: 0000-0002-6952-0915United States Department of AgricultureEUARiverside, California, EUAUnited States Department of Agriculture/US Salinity Laboratory. Riverside, California. E-mail: jorge.ferreira@ars.usda.gov - ORCID: 0000-0003-4550-6761; donald.suarez@ars.usda.gov - ORCID: 0000-0001-8583-2161; xuan.liu@ars.usda.gov - ORCID: 0000-0002-6952-0915
Figure 2
Electrical conductivity (A), soluble Na (B), soluble Ca (C), soluble Cl (D), soluble Mg (E) and soluble K (F) in saturation extract of soil in different depths as a function of irrigation water salinity (S1 - 0.5; S2 - 2.5; S3 - 5.0 and S4 - 7.5 dS m-1)
Figure 3
Mean values of potassium concentration in the soil saturation extracts in response to the combination of four levels (S1 to S4) of salinity (0.5, 2.5, 5.0 and 7.5 dS m-1), and four rates of N (N1 - N recommendation for maize (2.6 g column-1); N2 - 0.3 times of recommendation N1 (0.78 g column-1); N3 and N4 - Reduced rate of N1 and N2, respectively, based on the reduction in evapotranspiration caused by salinity. Each bar represents the average value of the four layers of soil
Figure 4
Soil nitrate accumulation caused by irrigation water salinity and four rates of nitrogen (N1 to N4). A - 0.5 (S1); B - 2.5 (S2); C - 5.0 (S3); D - 7.5 dS m-1 (S4)
Table 1
Summary of the analysis of variances of the data for root dry mass (RDM), saturation extract electrical conductivity (ECe), sodium (Na), calcium (Ca), magnesium (Mg), chloride (Cl), potassium (K), and nitrate (NO3), in soil cultivated with maize as related to different levels of salinity, nitrogen rates, and soil layers
imageFigure 1
Effect of salinity of irrigation water (0.5, 2.5, 5 and 7.5 dS m-1) and soil depth on root dry mass per plant
open_in_new
imageFigure 2
Electrical conductivity (A), soluble Na (B), soluble Ca (C), soluble Cl (D), soluble Mg (E) and soluble K (F) in saturation extract of soil in different depths as a function of irrigation water salinity (S1 - 0.5; S2 - 2.5; S3 - 5.0 and S4 - 7.5 dS m-1)
open_in_new
imageFigure 3
Mean values of potassium concentration in the soil saturation extracts in response to the combination of four levels (S1 to S4) of salinity (0.5, 2.5, 5.0 and 7.5 dS m-1), and four rates of N (N1 - N recommendation for maize (2.6 g column-1); N2 - 0.3 times of recommendation N1 (0.78 g column-1); N3 and N4 - Reduced rate of N1 and N2, respectively, based on the reduction in evapotranspiration caused by salinity. Each bar represents the average value of the four layers of soil
open_in_new
Capital letters identify statistical differences for different salinity treatments at the same N application. Lowercase letters identify statistical differences for different N application treatments at the same salinity level
imageFigure 4
Soil nitrate accumulation caused by irrigation water salinity and four rates of nitrogen (N1 to N4). A - 0.5 (S1); B - 2.5 (S2); C - 5.0 (S3); D - 7.5 dS m-1 (S4)
open_in_new
table_chartTable 1
Summary of the analysis of variances of the data for root dry mass (RDM), saturation extract electrical conductivity (ECe), sodium (Na), calcium (Ca), magnesium (Mg), chloride (Cl), potassium (K), and nitrate (NO3), in soil cultivated with maize as related to different levels of salinity, nitrogen rates, and soil layers
SV
DF
Mean squares
RDM1
ECe
Na
Ca
Mg
Cl
K
NO3
Block
3
2.31**
0.35ns
57.55ns
33.86ns
12.43ns
52.40ns
0.32**
8540.93ns
Salinity (S)
3
18.85**
602.05**
12402.85**
9257.81**
1652.22**
60027.88**
1.69**
429679.23**
Nitrogen (N)
3
0.421ns
6.01**
78.90*
210.63**
27.23*
12.06ns
0.047*
3283250.54**
Layer (L)
3 (2)
124.63**
368.73**
3645.25**
16803.36**
3472.97**
36461.73**
0.658**
212734.58**
Interation (SxN)
9
0.63ns
1.20ns
31.21ns
27.43ns
4.73ns
180.43ns
0.028*
109396.97**
Interation (SxL)
9 (6)
8.76**
41.40**
1486.06**
1966.04**
379.89**
4527.51**
0.259**
96982.79**
Interation (NxL)
9 (6)
0.296ns
3.06**
41.96ns
175.58**
26.32**
212.93**
0.022ns
246939.99**
Interation (SxNxL)
27 (18)
0.407ns
0.77ns
21.24ns
37.98ns
7.12ns
151.87ns
0.011ns
33713.07**
Error
189 (141)
0.378
1
21.82
52.37
8.76
175.21
0.0124
7558.48
C.V (%)
-
44.89
19.77
21.84
35.75
33.82
33.04
23.48
26.87
Como citar
Lacerda, Claudivan F. de et al. Evidências de perdas de nitrogênio e potássio em colunas de solo cultivadas com milho sob estresse salino. Revista Brasileira de Engenharia Agrícola e Ambiental [online]. 2018, v. 22, n. 8 [Acessado 5 Abril 2025], pp. 553-557. Disponível em: <https://doi.org/10.1590/1807-1929/agriambi.v22n8p553-557>. ISSN 1807-1929. https://doi.org/10.1590/1807-1929/agriambi.v22n8p553-557.
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