Time of nitrogen supply in yield, industrial and chemical quality of oat grains

Época de fornecimento do nitrogênio na produtividade, qualidade industrial e química de grãos de aveia

ABSTRACT

The timing of nitrogen application in oats can improve the efficiency of use of the nutrient and the expression of productivity and quality of grains. The objective of the study was to indicate the best time of application of nitrogen in oats, considering different conditions of nitrogen dose in the sowing/topdressing in the expression of productivity and the effects on the indicators of industrial and chemical quality of grains, considering the main succession systems of cereal cultivation in Brazil. The experiment was conducted in 2018, in Augusto Pestana, RS, Brazil. The design was randomized blocks with four repetitions, in a 3 × 4 factorial scheme, with three doses of nitrogen at sowing (0, 30 and 60 kg ha^-1), changing the topdressing dose by the total supply of 70 and 100 kg ha^-1 in succession system soybean/oats and corn/oats, respectively, with the timings of supply in topdressing at 0, 10, 30 and 60 days after emergence. The total doses were defined looking for grain yield expectations of 4000 kg ha^-1. In the management of nitrogen in oats, the absence of the nutrient at sowing and application of the total dose in topdressing around 30 days after emergence provides advantageous results, improving productivity and indicators of industrial and chemical quality of grains.

Key words:
Avena sativa; N-sowing; N-topdressing

RESUMO

O momento de aplicação de nitrogênio em aveia pode melhorar a eficiência de aproveitamento do nutriente e a expressão da produtividade e qualidade de grãos. O objetivo do estudo foi indicar a melhor época de aplicação de nitrogênio em aveia, considerando diferentes condições de fornecimento de doses de nitrogênio na semeadura e em cobertura na produtividade e nos indicadores da qualidade industrial e química de grãos, considerando dois sistemas de sucessão de cultivo do cereal no Brasil. O experimento foi conduzido no ano de 2018, em Augusto Pestana, RS, Brasil. O delineamento foi o de blocos casualizados com quatro repetições, em esquema fatorial 3 × 4, para três doses de nitrogênio na semeadura (0, 30 e 60 kg ha^-1) alterando a dose em cobertura pelo total fornecido de 70 e 100 kg ha^-1 em sistema soja/aveia e milho/aveia, respectivamente. O fornecimento do nutriente em cobertura foi em quatro épocas (0, 10, 30 e 60 dias) após a emergência da aveia. A ausência do nutriente na semeadura e aplicação da dose total em cobertura ao redor de 30 dias após emergência proporciona resultados vantajosos, melhorando a produtividade e indicadores da qualidade industrial e química dos grãos.

Palavras-chave:
Avena sativa; N-semeadura; N-cobertura

Introduction

In a globalized market, achieving self-sufficiency and competitiveness in Brazilian oats is decisive. Therefore, the aim must be at the development of more productive, tolerant and efficient cultivars in the use of light and nutrients. Aside from the meteorological aspects, nitrogen management is essential to increase the productivity and quality of grains (Mantai et al., 2015; Silva et al., 2016).

The definition of the N-fertilizer dose in oats is derived from the organic matter content of the soil, the previous crop and the grain yield expectation (Mantai et al., 2016; Marolli et al., 2017). On the other hand, the most propitious time for topdressing falls only on the phenology of the plant linked to the period of greatest lack of nutrients in the formation of production components (Bredemeier et al., 2013; Mantai et al., 2015). The technical indications for wheat and oats in Brazil recommend as fertilization season, the period between the beginning of tillering (stage V₃) and the beginning of elongation (stage V₆), an interval of around 30 to 60 days after plant emergence (Arenhardt et al., 2015; Marolli et al., 2017). These same authors reported that the timing of nitrogen fertilization should also take into account the predecessor crop, due to the different dynamics of biomass decomposition in the release of N-residual. Therefore, apart from the most favorable conditions of soil moisture, other factors should be explored to size the most adjusted season, which would allow greater use of the nutrient for the expression of productivity and the attributes of interest to the processing industry and the consumer market.

The objective of this study was to indicate the best time for nitrogen application in oats, considering different conditions of nitrogen dose supply in sowing and topdressing in productivity and in the indicators of industrial and chemical quality of grains, considering two succession systems of cereal cultivation in Brazil.

Material and Methods

The study was developed under field conditions in the agricultural year 2018 in Augusto Pestana, RS, Brazil (28° 26’ 30’’ S, 54° 0’ 58’’ O and altitude of 400 m). The soil of the experimental area is classified as Oxisol, the climate of the region, according to the Köppen classification, is of the Cfa type, with hot summer without dry season (Alvares et al., 2013). The air temperature (°C) and rainfall (mm) information for analysis of the meteorological conditions of the agricultural year, were obtained by the Total Automatic Station installed 500 m from the experiment.

Twenty days before sowing, soil analysis was carried out and the following chemical characteristics were determined: soybean/oat system (pH= 6.2; P= 33.9 mg dm^-3; K= 200 mg dm^-3; MO = 3.0%; Al = 0 cmol_cdm^-3; Ca = 6.5 cmol_cdm^-3 and Mg = 2.5 cmol_cdm^-3) corn/oat system (pH = 6.5; P = 34.4 mg dm^-3; K= 262 mg dm^-3; MO = 2.9%; Al = 0 cmol_cdm^-3; Ca = 6.6 cmol_cdm^-3 and Mg = 3.4 cmol_cdm^-3). The sowing was carried out in the third week of June with seeder-fertilizer in the composition of the plot with 5 lines of 5 m in length and spacing between lines of 0.20 m, forming the experimental unit of 5 m². The population density used was 400 viable seeds m^-2. During the execution of the study, applications of tebuconazole fungicide were carried out at a dose of 0.75 L ha^-1. Weed control was carried out with metsulfuron-methyl herbicide at a dose of 4 g ha^-1. In the sowing, 45 and 30 kg ha^-1 of P₂O₅ and K₂O were applied, respectively, based on the contents of P and K in the soil and with expected grain productivity of 4 t ha^-1.

In each cultivation system (soybean/oats; corn/oats), the experiments were conducted in a randomized block design with four repetitions in a 3 x 4 factorial scheme, using three doses of nitrogen at sowing (0, 30 and 60 kg ha^-1). The total topdressing dose supplied was changed to 70 and 100 kg ha^-1 in the soybean/oat and corn/oat systems, respectively, with an expected grain yield of 4000 kg ha^-1; topdressing was supplied in four application times (0, 10, 30 and 60 days after emergence), totaling 48 experimental units per succession system.

In the study, variables related to productivity, industrial quality and chemical composition of grains were evaluated. Grain productivity (PG, kg ha^-1) was obtained by cutting three central lines of each plot during the harvest maturity period, grain moisture was close to 22%. They were tracked with a stationary harvester and later directed to the laboratory to correct grain moisture to 13%. The mass of 1000 grains (MMG, g) was determined by counting 250 grains and weighing on a precision scale, subsequently multiplied by four. The hectoliter mass (MH, kg hL^-1) was obtained by the mass of grains from a cube of known volume of 250 cm³, and converted to kg hL^-1. The number of grains larger than two millimeters (NG > 2 mm, n) was obtained by counting 100 grains, which were placed in a 2 mm mesh sieve and those that were retained were counted. The dehulling index (ID, g g^-1) was determined by the ratio between the karyopse mass of 50 grains greater than 2 mm and its grain mass. The industrial productivity (PI, kg ha^-1) was obtained by the product of grain productivity with the number of grains greater than 2 mm and the dehulling index (PI= PG x NG > 2 mm x ID). The concentrations of crude protein (PB, g kg^-1), crude fiber (FB, g kg^-1) and starch (AM, g kg^-1) were determined in samples of unhulled grains, using the NIR spectrometer (Near Infrared Reflectance), through near infrared spectrophotometry - NIRS (Perten brand, model Diode Array DA7200).

Analysis of variance was performed to detect the significance of the main and interaction effects. Based on this information, Scott and Knott's means comparison test was performed at p ≤ 0.05. Afterwards, the quadratic equation adjustment (Y = b₀ ± b₁x ± b₂x²) was performed to estimate the ideal day of supply of the nutrient by topdressing.

Results and Discussion

In Figure 1, the meteorological conditions in the oat cultivation cycle were favorable for the supply of nutrients 10 and 30 days after emergence, with the presence of moisture in the soil due to rains that occurred in days prior to fertilization and milder air temperatures. In these periods, the most significant volumes of precipitation occurred one week after fertilization, ensuring nitrogen utilization by the plant with less losses by leaching.

Figure 1
Data of rainfall and maximum daily temperature during the oat cultivation cycle, in 2015

In the supply at 60 days after emergence, low soil moisture was observed, due to the long period with reduced precipitation between 43 and 65 days after emergence. In addition, temperatures were higher at the time of management compared to other seasons, which possibly favored greater nitrogen losses by volatilization. It is noteworthy that results with conditions of water restriction in this season have been happening more frequently in recent years, according to records of previous studies.

Rainfall stands out as one of the main factors responsible for variations in agricultural productivity. Prior knowledge of precipitation conditions may indicate forms of management that ensure the success of the activity (Arf et al., 2012; Arenhardt et al., 2015). In winter cereals, rainfall without large volumes, which favors adequate soil moisture and is well distributed throughout the cultivation cycle, characterizes an environment favorable to nitrogen management and greater expression of productivity (Castro et al., 2012; Souza et al., 2013).

In addition to precipitation, the air temperature also acts with a strong action on the nitrogen utilization dynamics and expression of productivity. Temperature acts as a catalyst for biological processes, which is why plants require a minimum and maximum temperature for normal physiological activities (Tonin et al., 2014; Marolli et al., 2017). In cereals, such as oats and wheat, the milder temperatures and quality of solar radiation throughout the day, favor the tillering and filling of grains, with direct effects on productivity (Castro et al., 2012; Arenhardt et al., 2015). In nitrogen management, the occurrence of high volume and/or intensity of rainfall, soon after fertilization, reduces plant efficiency due to lack of oxygenation and generates nutrient loss by leaching (Ercoli et al., 2013; Scremin et al., 2017). The same authors stated that high temperatures also reduce fertilization efficiency due to volatilization losses.

In Table 1, from the analysis of variance in the soybean/oat system, the times and doses of nitrogen affected grain yield, hectoliter mass, industrial productivity and crude protein. The dehulling index was only changed by the times of nitrogen supply in topdressing. In the corn/oat system the time and nitrogen dose also altered the same variables indicated in the soybean/oat system, except for hectoliter mass that was not modified by nitrogen dose. In this condition, the dehulling index did not show differences by the time of supply, differently from what happened in the soybean/oat system. Regardless of the succession system, the time and nitrogen dose interaction was confirmed on grain yield, hectoliter mass, industrial productivity and crude protein, indicating the need to unfold this interaction by analyzing the simplified effects.

Table 1
Analysis of variance of the characters of grain yield, industry and chemical quality by the time of nitrogen supply at sowing /topdressing

Source of variation	GL	Mean square
		PG	MH	MMG	NG > 2 mm	ID	PI	PB	FB	AM
Soybean/oat system
Block	3	41078	6,75	0.23	17.58	0.0003	12170	17.27	12.07	38.74
Time-N (EN)	3	2478216*	71.91*	0.55	71.25	0.0061*	708658*	73.50*	10.02	130.07
Dose-N (DN)	2	322200*	70.06*	0.89	48.52	0.0038	269204*	50.27*	12.33	80.14
EN x DN	6	245137*	16.89*	0.11	28.02	0.0033	55661*	23.43*	12.16	126.60
Error	33	41598	1.02	1.19	12.01	0.0011	15571	4.55	5.16	28.94
Total	47
Overall mean	-	2763	46.37	24.69	57.79	0.69	1120	112.58	125.10	444.27
CV (%)	-	17.37	7.18	6.41	9.99	7.80	11.13	3.89	3.81	4.21
Corn/oat system
Block	3	25594	0.24	0.55	10.83	0.0012	29096	10.07	16.36	12.75
Time-N (EN)	3	2610173*	36.40*	2.17	64.50	0.0022	389273*	259.00*	5.00	46.90
Dose-N (DN)	2	1424596*	4.75	7.23	29.31	0.0037	426430*	16.58*	9.02	22.64
EN x DN	6	515952*	12.00*	1.74	19.72	0.0031	96418*	62.83*	8.21	91.97
Error	33	31291	1.57	0.91	28.96	0.001	28212	5.28	6.37	43.44
Total	47
		(kg ha-1)	(kg hL-1)	(g)	(n)	(g g-1)	(kg ha-1)	(g kg-1)	(g kg-1)	(g kg-1)
Overall mean	-	2991	43.43	23.40	57.75	0.65	1138	108.14	129.95	440.54
CV (%)		15.91	7.89	6.07	9.32	8.10	13.75	5.12	4.94	5.49

• * - Significant at p ≤ 0.05 by F test; GL - Degrees of freedom; CV - Coefficient of variation; EN -Time of nitrogen application (days after emergence); DN - Nitrogen dose at sowing/topdressing (kg ha^-1); PG - Grain productivity; MH - Hectoliter mass; MMG - Mass of one thousand grains; NG > 2 mm - Number of grains larger than 2 mm; ID - Dehulling Index; PI - Industrial productivity; PB - Crude protein; FB - Crude fiber; AM - Starch

In Table 2, in the soybean/oat system, grain yields showed superior results with the absence of nitrogen at sowing and the total topdressing dose of 70 kg ha^-1, and also in the combination of 30 kg ha^-1 at sowing and 40 kg ha^-1 in topdressing, when supplied 30 days after emergence. The combinations mentioned in the sowing and topdressing also expressed the best results on the hectoliter mass, however, with an indication of the time of fertilization both at 10 and 30 days after emergence.

Table 2
Means of indicators of productivity and grain quality in times of nitrogen supply at sowing/topdressing in the soybean/oat system

N-Dose at sowing	N-Dose at topdressing	N-Time (days)
(kg ha-1)		0	10	30	60
		Grain productivity (kg ha-1)
0	70	2315 Cb	2829 Ba	3659 Aa	2354 Cb
30	40	2079 Cb	2825 Ba	3392 Aa	2191 Cb
60	10	1709 Ba	2248 Ba	2962 Ab	1860 Ba
		Hectoliter mass (kg hL-1)
0	70	44 Bb	49 Aa	50 Aa	42 Ca
30	40	45 Bb	49 Aa	48 Aa	43 Ca
60	10	48 Aa	45 Cb	47 Ba	44 Da
		Mass of one thousand grains (g)
0	70	24 Aa	26 Aa	24 Aa	25 Aa
30	40	23 Aa	23 Aa	25 Aa	24 Aa
60	10	25 Aa	25 Aa	24 Aa	24 Aa
		Number of grains > 2 mm (n)
0	70	57 Aa	57 Aa	61 Aa	60 Aa
30	40	53 Aa	52 Aa	57 Aa	53 Aa
60	10	52 Aa	59 Aa	59 Aa	57 Aa
		Dehulling Index (g g-1)
0	70	0.69 Ba	0.72 Aa	0.74 Aa	0.67 Ba
30	40	0.71 Aa	0.73 Aa	0.72 Aa	0.65 Ba
60	10	0.70 Aa	0.71 Aa	0.69 Aa	0.67 Aa
		Industrial productivity (kg ha-1)
0	70	914 Ca	1316 Ba	1609 Aa	1051 Ca
30	40	792 Ba	939 Bb	1413 Ab	754 Bb
60	10	662 Ca	941 Bb	1205 Ab	735 Ca
		Crude protein (g kg-1)
0	70	104 Ba	106 Ba	109 Ba	116 Aa
30	40	104 Ba	105 Ba	110 Ba	117 Aa
60	10	96 Ba	99 Ba	111 Aa	113 Aa
		Crude fibre (g kg-1)
0	70	125 Aa	125 Aa	126 Aa	121 Aa
30	40	124 Aa	123 Aa	127 Aa	120 Aa
60	10	121 Aa	126 Aa	123 Aa	125 Aa
		Starch (g kg-1)
0	70	443 Aa	446 Aa	442 Aa	448 Aa
30	40	442 Aa	442 Aa	449 Aa	446 Aa
60	10	441 Aa	441 Aa	443 Aa	449 Aa

• Means followed by the same lowercase letters in the column and uppercase letters in the lines do not differ statistically from each other at p ≤ 0.05 by the Scott and Knott’s test

In the dehulling index, the component of interest to the industry which is the highest values of expression, do not depend on the nitrogen dose in fertilization; however, the time of supply is more adjusted at 10 and 30 days after emergence. In industrial productivity, the combination of absence of nitrogen in sowing with total supply in topdressing applied at 30 days after emergence was decisive in the increment. In this system, the only component of chemical quality that showed alteration was the protein content in the grains, with more expressive results when applied at 60 days after emergence, regardless of the nitrogen dose at sowing.

In Table 3, in the corn/oat system, the combination of absence of nitrogen at sowing with the total topdressing dose of 100 kg ha^-1 provided the highest grain yield when applied at 10 and 30 days after emergence. The combination of 30 kg ha^-1 of nitrogen at sowing and 70 kg ha^-1 in topdressing also showed expressive results in grain yield, when supplied 30 days after emergence.

Table 3
Means of indicators of grain yield and quality in times of nitrogen supply at sowing /topdressing in the corn/oat system

N-Dose at sowing	N-Dose at topdressing	N-Time (days)
(kg ha-1)		0	10	30	60
		Grain productivity (kg ha-1)
0	100	1793 Cb	3491 Aa	3363 Aa	2754 Ba
30	70	2287 Ca	3038 Bb	3389 Aa	2441 Cb
60	40	1231 Cc	2288 Bc	2646 Ab	2170 Bc
		Hectolitre mass (kg hL-1)
0	100	39 Ba	44 Aa	44 Aa	42 Aa
30	70	41 Ba	45 Aa	46 Aa	43 Ba
60	40	42 Aa	43 Aa	45 Aa	45 Aa
		Mass of a thousand grains (g)
0	100	22 Aa	25 Aa	24 Aa	21 Aa
30	70	21 Aa	23 Aa	23 Aa	21 Aa
60	40	23 Aa	23 Aa	24 Aa	23 Aa
		Number of grains > 2 mm (n)
0	100	52 Aa	55 Aa	60 Aa	59 Aa
30	70	56 Aa	59 Aa	53 Aa	59 Aa
60	40	57 Aa	57 Aa	56 Aa	57 Aa
		Dehulling index (g g-1)
0	100	0.67 Aa	0.61 Aa	0.72 Aa	0.65 Aa
30	70	0.67 Aa	0.61 Aa	0.64 Aa	0.63 Aa
60	40	0.67 Aa	0.69 Aa	0.65 Aa	0.66 Aa
		Industrial productvity (kg ha-1)
0	100	764 Cb	1199 Ba	1459 Aa	895 Cb
30	70	869 Bb	1101 Aa	1164 Aa	916 Bb
60	40	470 Ba	890 Ab	963 Aa	816 Aa
		Crude protein (g kg-1)
0	100	98 Ca	103 Bb	111 Aa	116 Aa
30	70	98 Ca	100 Bb	110 Aa	114 Aa
60	40	97 Ca	97 Ba	110 Aa	108 Aa
		Crude fibre (g kg-1)
0	100	129 Aa	128 Aa	127 Aa	127 Aa
30	70	132 Aa	129 Aa	128 Aa	129 Aa
60	40	130 Aa	130 Aa	129 Aa	126 Aa
		Starch (g kg-1)
0	100	440 Aa	441 Aa	442 Aa	439 Aa
30	70	434 Aa	443 Aa	444 Aa	435 Aa
60	40	439 Aa	442 Aa	450 Aa	430 Aa

• Means followed by the same lowercase letters in the column and uppercase letters in the lines do not differ statistically from each other at p ≤ 0.05 by the Scott and Knott’s test

Hectoliter mass showed more expressive values with supply at 10 and 30 days after emergence, regardless of nitrogen dose at sowing. In industrial productivity, regardless of the dose at sowing, superior results were obtained when supplied at 30 days after emergence. In the analysis of protein content, the supply of fertilizer at 30 and 60 days after emergence showed more promising results, regardless of the nitrogen dose at sowing.

In Table 4, from the regression equation in the soybean/oat system, the variables grain yield, hectoliter mass, dehulling index, industrial productivity and crude protein showed significant quadratic behavior, in the combination of absence of nitrogen in sowing with 70 kgha^-1 of nitrogen in topdressing, depending on the time of nitrogen supply. Thus, the ideal time of supply by topdressing was more efficient at 33 days after emergence in the expression of grain yield. It is noteworthy that the main equation for estimating the ideal time falls on productivity, the variable of greatest economic importance for the farmer. Thus, the estimation of expression of the other variables takes into account the ideal time obtained by productivity by including 33 (days) in the parameter b_ixⁿ of the significant regression equations. Thus, an expression of hectoliter mass was observed with 45.30 kg hL^-1, dehulling index of 0.70 g g^-1, industrial productivity of 1480 kg ha^-1 and crude protein with 109.80 g kg^-1.

Table 4
Regression and estimation of the ideal day of nitrogen supply in the indicators of productivity and grain quality in the soybean/oat system

Variable	Equation	CV (%)	R2	Ideal N-time (days)	Y (estimated)
N-Sowing (0 kg ha-1)/N-Topdressing (70 kg ha-1)
PG	2111+94.981*x-1.4221*x2	18	70	33	3696
MH	40.51+0.283*x-0.0041*x2	12	67		45.30
MMG	23.05+0.137x-0.0026x2	6	81		-
NG > 2 mm	60.10-0.002x-0.0027x2	15	67		-
ID	0.65+0.03*x-0.0004*x2	13	17		0.30
PI	786.20+44.450*x-0.7133*x2	20	99		1480
PB	104.19+0.1371*x+0.001*x2	5	99		109.80
FB	107.15-0.617x-0.0077x2	7	76		-
AM	443.17-0.0320x-0.0005x2	3	85		-
N-Sowing (30 kg ha-1)/N-Topdressing (40 kg ha-1)
PG	2340+71.980*x-1.1740*x2	16	98	30	3442
MH	41.63+0.349*x-0.0058*x2	10	96		46.80
MMG	22.05+0.137x-0.0024x2	5	84		-
NG > 2 mm	57.94-0.215x+0.0038x2	18	38		-
ID	0.65-0.001*x+0.00001*x2	8	16		0.62
PI	894.51+19.374*x-0.3183*x2	16	94		1189
PB	103.7+0.1773*x+0.0008*x2	5	99		109.74
FB	132.44-0.248x+0.0032x2	4	95		-
AM	435.42+0.691x-0.0116x2	5	87		-
N-Sowing (60 kg ha-1)/N-topdressing (10 kg ha-1)
PG	3169+27.440*x-0.4538*x2	13	98	30	3654
MH	42.11+0.112x-0.0009x2	9	75		-
MMG	23.58+0.075x-0.0012x2	8	85		-
NG > 2 mm	60.55+0.021x-0.0015x2	14	15		-
ID	0.70-0.003*x+0.00004*x2	7	41		0.63
PI	657.04+34.884*x-0.5595*x2	15	99		1199
PB	106.68+0.2303*x-0.0021*x2	4	90		117.70
FB	130.80-0.019x-0.0010x2	6	99		-
AM	439.40+0.680x-0.0137x2	6	74		-

• R² - Coefficient of determination; N-time - Adjusted ideal time (days after emergence); Y - Variable estimated for the ideal time; ns, * - Not significant, significant at p ≤ 0.05 by the F test, respectively. PG - Grain productivity (kg ha^-1); MH - Mass of hectoliter (kg hL^-1); MMG - Mass of one thousand grains (g); NG > 2 mm - Number of grains greater than two millimeters (n); ID - Dehulling index (g g^-1); PI - Industrial productivity (kg ha^-1); PB - Crude protein (g kg^-1); FB - Crude fiber (g kg^-1); AM - Starch (g kg^-1)

The combination of 30 kg ha^-1 of nitrogen at sowing with 40 kg ha^-1 in topdressing depending on the time of supply in topdressing, shows significant quadratic behavior for the same variables (Table 4). In this condition, the ideal time of nitrogen supply was at 30 days after emergence, with hectoliter mass expression of 46.80 kg hL^-1, dehulling index of 0.62g g-¹, industrial productivity of 1189 kg ha^-1 and crude protein with 109.74 g kg^-1. The combination of 60 kg ha^-1 of nitrogen at sowing with 10 kgha^-1 in topdressing, also shows significant quadratic behavior in the same variables, except for the hectoliter mass. In this condition, the ideal time of supply was also 30 days after emergence, with an expression of dehulling index of 0.63 g g^-1, industrial productivity of 1199 kg ha^-1 and crude protein with 111.70 g kg^-1.

In Table 5, of the regression equation in the corn/oat system, the variables grain yield, hectoliter mass, industrial productivity and crude protein showed a significant quadratic behavior in the combination of absence of nitrogen at sowing with 100 kg ha^-1 of the nutrient in topdressing depending on the time of supply. The ideal time of supply that proved most efficient was 30 days after emergence in the expression of grain yield. In this perspective, the inclusion of 30 (days) in the b_ixⁿ parameter of the equation of the other variables indicated a hectoliter mass with 50.40 kg hL^-1, industrial productivity of 1619 kg ha^-1 and crude protein with 108 g kg^-1. In the combination of 30 kg ha^-1 of nitrogen at sowing with 70 kg ha^-1 topdressing, significant quadratic behavior was observed for the same variables mentioned previously (Table 5). In this condition, the ideal nitrogen supply time was also 30 days after emergence, with an estimated hectoliter mass of 48 kg hL^-1, industrial productivity of 1344 kg ha^-1 and crude protein with 111.70 g kg^-1. The combination of 60 kg ha^-1 of nitrogen at sowing with 40 kg ha^-1 in topdressing, indicates significant quadratic behavior for these same variables, except for the hectoliter mass (Table 5). The ideal time of supply was obtained with 33 days after emergence, with an estimated industrial productivity of 1036 kg ha^-1 and crude protein of 110.60 g kg^-1.

Table 5
Regression and estimation of the ideal nitrogen supply day in the indicators of grain yield and quality in the corn/oat system

Variable	Equation	CV (%)	R2	Ideal N-time (days)	Y (estimated)
N-Sowing (0 kg ha-1)/N-topdressing (100 kg ha-1)
PG	2256+81.0895*x-1.3210*x2	16	98	30	3449
MH	45.10+0.409*x-0.0075*x2	18	98		50.40
MMG	24.99+0.024x-0.0004x2	7	4		-
NG > 2 mm	58.96+0.156x-0.0007x2	20	55		-
ID	0.69+0.003x-0.00006x2	10	99		-
PI	925.20+44.240*x-0.7030*x2	20	99		1619
PB	111.90-0.290*x+0.0060*x2	7	61		108.00
FB	125.80-0.052x+0.0022x2	5	99		-
AM	445.30-0.189x+0.0043x2	5	63		-
N-Sowing (30 kg ha-1)/N-topdressing (70 kg ha-1)
PG	2089+85.85*x-1.403*x2	14	99	30	3401
MH	45.77+0.265*x-0.0052*x2	8	87		48.00
MMG	23.47+0.082x-0.0010x2	4	59		-
NG > 2 mm	52.19+0.258x-0.0038x2	19	61		-
ID	0.68+0.001x-0.00002x2	11	17		-
PI	722.90+40.680*x-0.6656*x2	17	90		1344
PB	115.70-0.295*x+0.0054*x2	7	77		111.70
FB	122.90+0.282x-0.0052x2	7	75		-
AM	438.20+0.700x-0.0122x2	6	94		-
N-Sowing (60 kg ha-1)/N-topdressing (40 kg ha-1)
PG	1359+81.242*x-1.1358*x2	15	92	33	2803
MH	47.79-0.056x-0.00005x2	14	61		-
MMG	25.37-0.648x+00008x2	5	83		-
NG > 2 mm	53.47+0.416x-0.0058x2	18	77		-
ID	0.71-0.0001x-0.000005x2	10	97		-
PI	532.92+28.358*x-0.3975*x2	16	85		1036
PB	110.02-0.021*x+0.0012*x2	6	96		110.60
FB	123.02+0.108x-0.0012x2	4	21		-
AM	437.6+0.8553x-0.0163x2	6	94		-

• R² - Coefficient of determination; N-Time - Adjusted ideal time (days after emergence); Y - Variable estimated for the ideal time; ns, * - Not significant, significant at p ≤ 0.05 by the F test, respectively. PG - Grain productivity (kg ha^-1); MH - Mass of hectoliter (kg hL^-1); MMG - Mass of one thousand grains (g); NG > 2 mm - Number of grains greater than two millimeters (n); ID - Dehulling index (g g^-1); PI - Industrial productivity (kg ha^-1); PB - Crude protein (g kg^-1); FB - Crude fiber (g kg^-1); AM - Starch (g kg^-1)

In general, considering the grain and industrial productivity, the ideal time of nitrogen use in topdressing showed increased expression of variables in regression simulation compared to the intercept value (b₀) of each equation. This occurred mainly in the absence of nitrogen at sowing and total dose applied in topdressing for the desired expectation (4000 kg ha^-1) defined in this study, regardless of the high succession system and reduced N-residual release.

From seedling emergence to sixth leaf emission is the time when oat plants demand more nitrogen. If applied in the early stages, it favors the maximum number of spikelets and grains per panicle, when applied in the final stages, it can potentiate the number of stems per area (Arenhardt et al., 2015). In wheat, Prando et al. (2012) reported that the supply of nitrogen fertilizer at different periods of application in topdressing affected productivity, but not hectoliter mass. On the other hand, they observed that increased productivity by nitrogen doses negatively correlated to the hectoliter mass. Martins et al. (2014) found that the increase in wheat grain mass is usually associated with nitrogen availability during the flowering phase and the beginning of grain filling. Conversely, grains with higher mass do not necessarily guarantee higher productivity per area. In oats, Mantai et al. (2015) stated that the maximum efficiency of nitrogen fertilization in topdressing is obtained with total dose provided from 70 to 90 kg ha^-1 of nitrogen, and this variation is dependent on the condition of the agricultural year and the time of fertilization. Therefore, they reported the importance of adjusting the fertilization season with the appropriate conditions of air temperature and soil moisture. In maize, Borges et al. (2015) observed that the mass of one thousand grains was not altered by the times of nitrogen application through topdressing, a condition that was also observed in this study, involving different doses of nitrogen at sowing. In beans, Scherer et al. (2015) analyzed the effects of different nitrogen doses (0, 30, 60 and 120 kg ha^-1) and application times (total dose at 15 days after emergence; total dose at 30 days after emergence; 50% in installments at 15 and 30 days after the emergence). The application of nitrogen in topdressing positively influenced the crop, with the total dose of 60 kg ha^-1 applied at 30 days after emergence but 50% installmental dose at sowing and topdressing with 120 kg ha^-1 showed the best results. According to Arenhardt et al. (2015), in oats the period between the beginning of tillering and elongation shows a large interval in deciding the appropriate moment of application, necessitating besides the most favorable conditions of soil moisture, other elements in dimensioning the dose and the most adjusted time of nutrient supply. According to these authors, in years favorable to cultivation, the time of fertilization with N-fertilizer was adjusted to around 45 days after emergence and in unfavorable years to 35 days. In wheat, Alves et al. (2017) studied the interaction between Azospirillum and nitrogen doses applied by topdressing. The results showed that there was no interaction between nitrogen and inoculation. Nitrogen doses promoted significant increases in nitrogen content in leaves, plant height, number of grains per ear, number of ears per square meter and grain yield. Inoculation with Azospirillum and nitrogen doses did not promote an increase in wheat grain yield. In oats, Scremin et al. (2017) observed that the use of hydrogel increases the efficiency of nitrogen in grain yield, especially in the conditions of 30 to 60 kg ha^-1 of the biopolymer combined with approximately 70 kg ha^-1 of nitrogen in the soybean/oat system and approximately 100 kg ha^-1 of nitrogen in the corn/oat system, however this effect depends on the succession system and climatic conditions.

The results presented in this study showed that the definition of nitrogen dose in sowing and the appropriate time of application, are important strategies in optimizing the nutrient to grain yield and quality with reduction of environmental impacts. This study's great contribution to the proposal to improve management technologies is highlighted, involving jointly the indicators of interest to farmers, industry and consumers, by considering the dynamics of nitrogen use and the complexity of agricultural production systems.

Conclusion

In the management of nitrogen in oats, the absence of the nutrient in sowing and application of the total dose in topdressing at 30 days after emergence provides advantageous results, improving productivity and indicators of industrial and chemical quality of the grains, regardless of the succession system.

Acknowledgements

To the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), to the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), to the Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS), to the Universidade Regional do Noroeste do Estado do Rio Grande do Sul (UNIJUÍ) and the Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (IFRS) for the contribution of funds for the development of this study and the Scientific and Technological Initiation scholarships, Technical Support, Postgraduate and Research Productivity.

Literature Cited

• Alvares, C. A.; Stape, J. L.; Sentelhas, P. C.; Gonçalves, J. L. M.; Sparovek, G. Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift, v.22, p.711-728, 2013. https://doi.org/10.1127/0941-2948/2013/0507
  » https://doi.org/10.1127/0941-2948/2013/0507
• Alves, C. J.; Arf, O.; Ramos, A. F.; Galindo, F. S.; Nogueira, L. M.; Rodrigues, R. A. F. Irrigated wheat subjected to inoculation with Azospirillum brasilense and nitrogen doses as top-dressing. Revista Brasileira de Engenharia Agrícola e Ambiental, v.21, p.537-542, 2017. https://doi.org/10.1590/1807-1929/agriambi.v21n8p537-542
  » https://doi.org/10.1590/1807-1929/agriambi.v21n8p537-542
• Arenhardt, E. G.; Silva, J. A. G. da; Gewehr, E.; Oliveira, A. C. de; Binelo, M. O.; Valdiero, A. C.; Gzergorczick, M. E.; Lima, A. R. C. de. The nitrogen supply in wheat cultivation dependent on weather conditions and succession system in Southern Brazil. African Journal of Agricultural Research, v.10, p.4322-4330, 2015. https://doi.org/10.5897/AJAR2015.10038
  » https://doi.org/10.5897/AJAR2015.10038
• Arf, O.; Nascimento, V. do; Rodrigues, R. A. F.; Alvarez, R. de C. F.; Gitti, D. de C.; Sá, M. E. de. Uso de etil-trinexapac em cultivares de arroz de terras altas. Pesquisa Agropecuária Tropical, v.42, p.150-158, 2012. https://doi.org/10.1590/S1983-40632012000200008
  » https://doi.org/10.1590/S1983-40632012000200008
• Borges, I. D.; Pinho, R. G. V.; Pereira, J. L. de A. R.; Alvarez, C. G. D. Efeito das épocas de aplicação da cobertura nitrogenada, das fontes de nitrogênio e dos espaçamentos entre fileiras na cultura do milho. Revista Ceres, v.53, p.75-81, 2015.
• Bredemeier, C.; Variani, C.; Almeida, D.; Rosa, A. T. Estimativa do potencial produtivo em trigo utilizando sensor óptico ativo para adubação nitrogenada em taxa variável. Ciência Rural, v.43, p.1147-1154, 2013. https://doi.org/10.1590/S0103-84782013005000080
  » https://doi.org/10.1590/S0103-84782013005000080
• Castro, G. S. A.; Costa, C. H. M. da; Ferrari Neto, J. Ecofisiologia da aveia branca. Scientia Agraria Paranaensis, v.11, p.1-15, 2012. https://doi.org/10.18188/1983-1471/sap.v11n3p1-15
  » https://doi.org/10.18188/1983-1471/sap.v11n3p1-15
• Ercoli, L.; Masoni, A.; Pampana, S.; Mariotti, M.; Arduini, I. As durum wheat productivity is affected by nitrogen fertilization management in Central Italy. European Journal of Agronomy, v.44, p.38-45, 2013. https://doi.org/10.1016/j.eja.2012.08.005
  » https://doi.org/10.1016/j.eja.2012.08.005
• Mantai, R. D.; Silva, J. A. G. da; Arenhardt, E. G.; Scremin, O. B.; Mamann, A. T. W. de; Frantz, R.; Valdiero, A. C.; Pretto, R.; Krysczun, D. K. Simulation of oat grain (Avena sativa) using its panicle components and nitrogen fertilizer. African Journal of Agricultural Research , v.11, p.3975-3983, 2016. https://doi.org/10.5897/AJAR2016.10943
  » https://doi.org/10.5897/AJAR2016.10943
• Mantai, R. D.; Silva, J. A. G. da; Sausen, A. T. Z. R.; Costa, J. S. P.; Fernandes, S. B. V.; Ubessi, C. A eficiência na produção de biomassa e grãos de aveia pelo uso do nitrogênio. Revista Brasileira de Engenharia Agrícola e Ambiental , v.19, p.343-349, 2015. https://doi.org/10.1590/1807-1929/agriambi.v19n4p343-349
  » https://doi.org/10.1590/1807-1929/agriambi.v19n4p343-349
• Marolli, A.; Silva, J. A. G. da; Romitti, M. V.; Mantai, R. D.; Scremin, O. B.; Frantz, R. Z.; Sawicki, S.; Arenhardt, E. G.; Gzergorczick, M. E.; Lima, A. R. C. de. Contributive effect of growth regulator Trinexapac-Ethyl to oats yield in Brazil. African Journal of Agricultural Research , v.12, p.795-804, 2017. https://doi.org/10.5897/AJAR2016.11784
  » https://doi.org/10.5897/AJAR2016.11784
• Martins, L. M.; Zagonel, J.; Ferreira, C.; Senger, M. Épocas de aplicação de regulador de crescimento e de sombreamento artificial afetando cultivares de trigo. Revista Eixo, v.3, p.47-59, 2014. https://doi.org/10.19123/eixo.v3i1.123
  » https://doi.org/10.19123/eixo.v3i1.123
• Prando, A. M.; Zucareli, C.; Fronza, V.; Bassoi, M. C.; Oliveira, F. A. de. Formas de ureia e doses de nitrogênio em cobertura no desempenho agronômico de genótipos de trigo. Semina: Ciências Agrárias, v.33, p.621-632, 2012. https://doi.org/10.5433/1679-0359.2012v33n2p621
  » https://doi.org/10.5433/1679-0359.2012v33n2p621
• Scherer, A. L.; Ribon, A. A.; Fernandes, K. L.; Hermógenes, V. T. L. Efeito de diferentes épocas e doses de aplicação de nitrogênio na cultura do feijoeiro cultivado em Campo Grande-MS. Revista Cultivando o Saber, v.8, p.162-171, 2015.
• Scremin, O. B.; Silva, J. A. G.; Mammann, A. T. W.; Marolli, A.; Mantai, R. D.; Trautmann, A. P. B.; Kraisig, A. R.; Scremin, A. H.; Kruger, C. A. M. B.; Dornelles, E. F. Nitrogen and hydrogel combination in oat grains productivity. International Journal of Development Research, v.7, p.13896-13903, 2017.
• Silva, J. A. G. da; Goi Neto, C. J.; Fernandes, S. B.V.; Mantai, R. D.; Scremin, O. B.; Pretto, R. A eficiência do nitrogênio em aveia na produtividade de grãos com estabilidade. Revista Brasileira de Engenharia Agrícola e Ambiental , v.20, p.1095-1100, 2016. https://doi.org/10.1590/1807-1929/agriambi.v20n12p1095-1100
  » https://doi.org/10.1590/1807-1929/agriambi.v20n12p1095-1100
• Souza, J. L. M. de; Gerstemberger, E.; Araujo, M. A. Calibração de modelos agrometeorológicos para estimar a produtividade da cultura do trigo, considerando sistemas de manejo do solo, em Ponta Grossa-PR. Revista Brasileira de Meteorologia, v.28, p.409-418, 2013. https://doi.org/10.1590/S0102-77862013000400007
  » https://doi.org/10.1590/S0102-77862013000400007
• Tonin, R. B.; Ranzi, C.; Camera, J. N.; Forcelini, C. A.; Reis, E. M. Amplitude térmica para germinação de conídios de Drechslera tritici-repentis. Summa Phytopathologica, v.40, p.174-177, 2014. https://doi.org/10.1590/0100-5405/1881
  » https://doi.org/10.1590/0100-5405/1881

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  Editor responsible: Hans Raj Gheyi

Publication Dates

• Publication in this collection
  28 Sept 2020
• Date of issue
  Oct 2020

History

• Received
  10 July 2019
• Accepted
  31 July 2020
• Published
  25 Aug 2020