MACRONUTRIENT RATES AND MULTIFUNCTIONAL MICROORGANISMS IN A TROPICAL FLOODED RICE CROP

DOSES DE MACRONUTRIENTES E MICROORGANISMOS MULTIFUNCIONAIS NA CULTURA DO ARROZ IRRIGADO POR INUNDAÇÃO TROPICAL

ABSTRACT

Tropical flooded rice production systems require a high input of fertilizers and chemical defensive. The use of plant growth-promoting rhizobacteria (PGPR), a sustainable component of this system, can increase nutrient-use efficiency and lead to significant increases in the grain yield of tropical flooded rice crop. This study aimed to determine the effect of the microorganism BRM 32110 (Bacillus thuringiensis) in combination with nitrogen (N), phosphorus (P) and potassium (K) application rates on the physiological and agronomic performance of tropical flooded rice plants. Trials were performed in the 2016/2017 growing season in Formoso do Araguaia, a city in Tocantins state, Brazil. Three independent experiments (E1, E2, and E3) were performed in a randomized block design in a 4 x 2 factorial scheme with three replications. E1 comprised four N application rates (0, 40, 80 and 120 kg N ha^-1) with and without the addition of BRM 32110, E2 comprised four P₂O₅ application rates (0, 40, 80 and 120 kg P₂O₅ ha^-1) with or without BRM 32110, and E3 comprised four K₂O application rates (0, 20, 40 and 60 kg K₂O ha^-1) with and without BRM 32110. In fertile soil, there were no interactions between the rhizobacterium BRM 32110 and the N, P or K application rates. BRM 32110 improved nutrient uptake and, on average, increased shoot dry matter by 8%, photosynthesis rate by 14% and grain yield by 11% in the flooded rice plants. Our results suggest that the use of multifunctional microorganisms is a good strategy for improving flooded rice grain yield sustainably.

Keywords:
Oryza sativa; Rhizobacteria; Bacillus sp.; Physiological and agronomic attributes; Sustainable development

RESUMO

Os sistemas tropicais de produção de arroz inundado requerem uma alta entrada de fertilizantes e defensivos químicos. O uso de rizobactérias promotoras de crescimento de plantas (RPCP), um componente sustentável desse sistema, pode aumentar a eficiência do uso de nutrientes e levar a aumentos significativos no rendimento de grãos das culturas tropicais de arroz inundado. Este estudo teve como objetivo determinar o efeito do microrganismo BRM 32110 (Bacillus thuringiensis) em combinação com doses aplicaas de nitrogênio (N), fósforo (P) e potássio (K) no desempenho fisiológico e agronômico de plantas de arroz inundadas no ambiente tropical. Os ensaios foram realizados na safra agrícola 2016/2017 em Formoso do Araguaia, cidade no estado do Tocantins, Brasil. Três experimentos independentes (E1, E2 e E3) foram realizados em delineamento de blocos ao acaso, em esquema fatorial 4 x 2, com três repetições. E1 compreendeu quatro doses aplicadas de N (0, 40, 80 e 120 kg N ha-1) com e sem a adição de BRM 32110, E2 compreendeu quatro doses aplicadas de P₂O₅ (0, 40, 80 e 120 kg de P2O5 ha^-1) com ou sem BRM 32110, e E3 compreendeu quatro taxas de aplicação de K₂O (0, 20, 40 e 60 kg K₂O ha^-1) com e sem BRM 32110. Em solo fértil, não houve interações entre a rizobacteria BRM 32110 e taxas aplicadas de N, P ou K. O BRM 32110 melhorou a captação de nutrientes e, em média, aumentou a matéria seca da parte aérea em 8%, a taxa de fotossíntese em 14% e a produtividade de grãos em 11% nas plantas de arroz inundadas. Nossos resultados sugerem que o uso de microrganismos multifuncionais é uma boa estratégia para melhorar o rendimento de grãos de arroz inundado de forma sustentável.

Palavras-chave:
Oryza sativa; Rizobacteria; Bacillus sp.; Atributos fisiológicos e agronômicos; Desenvolvimento sustentável

INTRODUCTION

The production of rice, along with corn and wheat, accounts for approximately 60% of all the fertilizers used worldwide (LADHA et al., 2005; FAGERIA, 2009, 2014). However, these fertilizers are derived from petroleum and expensive, and their incorrect use can cause damage to the environment, such as the contamination of water sources (MARTINS et al., 2015). On the other hand, to meet the growing global demand for rice over the next 30 years, it is necessary to increase current production by more than 50% (GRiSP, 2013). Therefore, the development of sustainable technologies is necessary to provide significant increases in crop grain yield to meet this growing demand (NASCENTE et al., 2017a).

Among the existing technologies for reducing the use of fertilizers in rice crops, the use of beneficial microorganisms, such as plant growthpromoting rhizobacteria (PGPR), is becoming a popular strategy for sustainable agriculture (AHEMAD; KIBRET, 2014; BARIS et al., 2014; SPERANDIO et al., 2017; NASCENTE et al., 2019a). These microorganisms can act directly and indirectly on plant development (AHEMAD; KIBRET, 2014).

The direct effects of PGPR are exemplified by the fixation of biological nitrogen (BNF); the production of hormones, such as indole-3-acetic acid (IAA), cytokines and gibberellins; the solubilization of phosphate; the production of siderophores; the activity of hydrolytic enzymes such as lipases and proteases; and the acceleration of organic matter mineralization processes (BULGARELLI et al., 2013; AHEMAD; KIBRET, 2014; OLANREWAJU; GLICK; BAB ALOLA, 2017). The indirect effects of PGPR are related to the pathogen-antagonist interaction with the target species or the development of plant resistance to pathogens and abiotic stressors (KUAN et al., 2016). Examples of the direct and indirect beneficial effects of PGPR on rice plant development include increases in grain yield, nutrient uptake (NASCENTE et al., 2017a, b; NASCENTE et al., 2019a, b), and rice blast suppression by parasitism of the pathogen

(SPERANDIO et al., 2017). In this sense, beneficial microorganisms can be defined as multifunctional and represent sustainable alternatives for supporting the intensification of agricultural systems.

Previous studies allowed the selection and identification of beneficial rhizobacteria collected from upland rice fields (FILIPPI et al., 2011) and isolates of the fungus Trichoderma asperellum collected from rhizosphere soil in reforestation areas and native Amazon forest (SILVA et al., 2012; FRANÇA et al., 2015). Later, Nascente et al. (2017a) tested these microorganisms under greenhouse conditions and showed that rhizobacterium BRM 32114 (Serratia sp.) provided the best results for upland rice development. After this, Nascente et al. (2019a) tested this microorganism under field conditions and showed that its use led to a reduction in the application of nitrogen fertilizers to upland rice crops.

In flooded rice systems, Sousa, Nascente and Filippi (2019) showed that the use of PGPR led to significant increases in root length relative to that in a rhizobacteria-free treatment (i.e., a control). In another experiment conducted in greenhouse conditions, the effects of six PGPR on flooded rice development were evaluated, and the treatment with rhizobacterium BRM 32110 (Bacillus sp.) stood out (NASCENTE et al., 2017b). This microorganism is characterized as a producer of cellulase, phosphatase, siderophores and biofilm (NASCENTE et al., 2017a). Therefore, BRM 32110 was selected for testing under field conditions. This study aimed to determine the effects of BRM 32110 in combination with nitrogen (N), phosphorus (P) and potassium (K) at various application rates on the physiological and agronomic performances of tropical flooded rice plants under field conditions.

MATERIAL AND METHODS

Site description

The experiments were conducted at Unitins Experimental Station (11° 47' 48" S and 49° 31' 44" W), located in Formoso do Araguaia city, state of Tocantins, Brazil. The study site is at an elevation of 240 m. According to the Koppen classification, the climate is tropical savanna (ALVARES et al., 2014). There are two well-defined seasons: a usually dry season from May to September (autumn/winter) and a wet season from October to April (spring/summer). The average annual rainfall is 1,719 mm, and the average annual temperature is 26.7 °C.

The soil in the experimental plots was Inceptisol according to the US soil classification system and Gley humic according to the Brazilian soil classification system. Prior to the study, in October 2016, chemical and physical analyses were performed according to the methods described by Donagema et al. (2011) for the initial characterization of the area. The initial soil chemical properties at the experimental site in the 0 to 20 cm soil layer were was follows: pH, 5.4; soil organic matter (SOM), 24.05 g kg^-1; P, 20.9 mg kg^-1; K, 133 mg kg^-1; Ca, 2.95 cmol_c kg^-1; Mg, 1.16 cmol_c kg^-1; Al, 0.1 cmol_c kg^-1; Cu, 2.6 mg kg^-1; Zn, 3.3 mg kg^-1; Fe, 220 mg kg^-1; and Mn, 34.9 mg kg^-1. A textural analysis of this site revealed that the soil was composed of 303 g clay kg^-1, 140 g silt kg^-1, and 557 g sand kg^-1. The soil pH was measured in a 1:2.5 soil:water suspension. P and K were extracted by Mehlich 1 extracting solution (0.05 M HC1 in 0.0125 M H₂SO₄). From the extracts, the P content was determined colorimetrically, and K was determined by flame photometry. Ca, Mg, and Al were extracted with 1 M KC1. The Al content was determined by titration with NaOH, and the Ca and Mg contents were determined by titration with EDTA. The micronutrient content was determined from the portion of the extract used to quantify the P content by atomic absorption spectrophotometry. The soil organic matter content was determined by Walkley & Black’s method.

Experimental design and treatments

Three independent experiments were performed, one for each nutrient (N, P and K). The trials were arranged in randomized complete blocks in a 4x2 factorial scheme, with four replications during only one growing season (2016/17). The plots had dimensions of 3.9 m x 6 m, and 12 rows of rice constituted the usable area, disregarding 0.50 m on each side of the rows in each plot. For all three experiments, the treatments were as follows: 1. Four doses of N (0, 40, 80 and 120 kg ha^-1); 2. four doses of P (0, 40, 80 and 120 kg P₂O₅ ha^-1); and 3. four doses of K₂O (0, 20, 40 and 60 kg ha^-1). All three experiments were tested with and without BRM 32110 (Bacillus thuringiensis). Bacillus thuringiensis strain BRM32110 belongs to the Microorganism Culture Collection at the Embrapa Rice and Bean Research Center (GenBank accession code KX378746).

Seed microbiolization and pulverization of the BRM 32110 suspension for the soil and plant

For the microbiolization process, BRM 32110 was first cultivated for 24 hours on solid medium 523 (KADO; HESKETT, 1970) at 28 °C. For the preparation of the suspension, bacterial cells were harvested with water, and the concentration was set with a spectrophotometer (A540 = 0.5, 10⁸ UFC). Rice seeds were immersed in the bacterial suspension for 24 hours under constant agitation at 25 °C, and control seeds (bacteria-free) were immersed in water for 24 hours at 25 °C, according to Sperandio et al. (2017). Plant and soil pulverization was performed at 7 and 15 days after sowing. The BRM 32110 suspension was prepared as described above (at the same concentration (10⁸ UFC)) and delivered at 600 l ha^-1 with a costal atomizer, according to Filippi et al. (2011).

Rice crop management

Flooded rice, cultivar BRS Catiana, was mechanically sowed with a row spacing of 17 cm and 100 seeds per metre. N fertilizer was applied at a rate of 100 kg ha^-1; half of the N was applied at sowing and the remaining half as topdressing during the active tillering growth stage in the P and K trials. At the time of sowing, 60 kg P₂O₅ ha^-1 and 60 kg K₂O ha^-1 were also applied in the N and K trials and the N and P trials, respectively. The N source was urea (CH₄N₂O), the P source was triple superphosphate, and the K source was potassium chloride. In addition, in all three trials, the N, P and K application rates varied by treatment. Rice sowing in all the trials was performed on November 8^th, 2016. On average, rice plant emergence occurred four days after sowing. The area was irrigated by subirrigation, and the soil was kept saturated. Cultural practices were performed according to standard rice crop recommendations, keeping crops free from weeds, diseases, and insects. Rice harvesting was performed on March 14^th, 2017.

Agronomic and physiological parameters

Gas exchange - A portable gas exchange analyser in the infrared region (LCpro, ADC BioScientific, Hoddesdon, England) was used to measure gas exchange. Three upland rice plants in the vegetative and reproductive stages per plot were randomly selected for use in the gas exchange measurements. The photosynthetic rate (A, pmol CO₂ m^-2 s^-1), transpiration rate (E, mmol H2O m^-2 s^-1), stomatal conductance (gs, mol H₂O m^-2 s^-1), internal CO₂ concentration (Ci, vpm) and leaf temperature (Tleaf °C) were obtained. Because the evaluation of gas exchange performance is best done during the highest photosynthetic photon flux density (PPFD) and before air temperatures reach limiting values for C3 plants (FEISTLER; HABERMANN, 2012), the readings were taken from 08:00 to 10:00 AM at 37 (vegetative stage) and 68 (reproductive stage) DAS. The samples were taken in the middle third of the first fully expanded leaf (top to base) during the first evaluation and on the flag leaf during the second evaluation. The equipment was set to use concentrations of 370-400 mol mol^-1 CO2 in the air, which is the reference condition used in the IRGA photosynthesis chamber. The PPFD used was 1200 pmol [quanta] m^-2 s^-1. The minimum equilibration time for performing the reading was 2 minutes.

Nutrient content - A total of 50 flag leaves per plot were selected randomly during the full blooming stage. The leaves were washed, dried under forced air circulation at 65 °C for 72 h and ground. The concentrations of N, P, K, Ca, Mg, Cu, Zn, Fe, and Mn were determined using methods described by Donagema et al. (2011).

Shoot dry matter - One-meter long shoots from one of the rows in each plot were sampled during the full blooming stage. The shoots were washed in water, dried in an oven with forced air circulation at 65 °C for 72 h and then weighed.

Grain yield and yield components - The harvest was carried out by hand after the grains in the usable area of each plot reached physiological maturity (March 14^th, 2017). The number of panicles per metre was determined by counting the number of panicles in a 1.0 m row within the useful area of each plot. The number of grains per panicle was determined by counting the number of grains on a sample of 10 panicles randomly collected within the useful area of each plot and dividing that number by 10. The mass was determined from the weight of 1000 randomly collected grains, and the moisture content of the grains was corrected to 13%. Grain yield was determined by weighing the samples harvested from each plot, and the moisture content of the grains was corrected to 13% and converted to kg ha^-1.

Statistical analysis - SAS Statistical Software, SAS Institute, Cary, NC, USA, was used to perform the statistical analyses. For the three trials, i.e., the N, P and K experiments, the data for the qualitative factor (i.e., the presence or absence of BRM 32110) were subjected to an analysis of variance, and when the F test proved significant, the data were compared by a Tukey test at p<0.05. For the quantitative factors (i.e., the N, P and K application rates), the results were submitted to regression analysis when p<0.05. The blocks and all block interactions were considered random effects. The N, P and K application rates and the use of rhizobacteria (BRM 32110) were considered fixed effects.

RESULTS AND DISCUSSION

In both the vegetative and reproductive stages, the gas exchange efficiency was higher in the flooded rice plants treated with BRM 32110 than in the untreated plants in the N, P and K trials (Tables 1 and 2). In particular, compared to the untreated tropical flooded rice plants, in the BRM 32110-treated rice, the photosynthetic rate (A) increased by an average of ~14% and stomatal conductance (gi) increased by an average of ~22%. According to Makino (2011) and Ono et al. (2013), photosynthetic rate and stomatal conductance have significant effects on plant growth since they have a high correlation with the initial biomass production process, potential productivity and grain yield. These findings showed that the use of this microorganism (BRM 32110) led to the same gas exchange results in a greenhouse assay by Nascente et al. (2017b) and under field conditions.

Table 1
Photosynthesis (A), transpiration (E), stomatal conductance (gs), internal CO₂ concentration (Ci) and leaf temperature (Tleaf) of flooded rice plants, cultivar BRS Catiana, in the vegetative stage. The plants were treated with BRM 32110 (Bacillus thuringiensis) and different doses of nitrogen (N), phosphorus (P) or potassium (K). Formoso do Araguaia, growing season 2016/17.

	N
Rhizobacterium BRM 32110	A	E	gs	Ci	Tleaf
	µmol CO2 m-2s-1	mmol H2O m-2s-1	mol H2O m-2s-1	vpm	ºC
Present	33.08 a	9.29 a	3.49 a	343 a	29.9 a
Absent	28.40 b	8.12 b	2.59 b	352 a	29.4 a
Factor	ANOVA - F probability
N application rate (N)	0.7759	0.0501	0.5313	0.0552	0.0547
Rhizobacterium (R)	<0.001	0.0046	0.0176	0.1022	0.0797
R x N	0.1178	0.0594	0.4970	0.0581	0.0523
	P
Present	28.01 a	9.98 a	2.99 a	345 a	30.0 a
Absent	26.62 b	8.16 b	2.57 b	351 a	29.8 a
Factor	ANOVA - F probability
P application rate (P)	0.0541	0.0679	0.0973	0.0519	0.0577
Rhizobacterium (R)	0.0465	<0.001	0.0477	0.4592	0.4809
R x P	0.0515	0.0503	0.0666	0.9611	0.9760
	K
Present	32.13 a	8.93 a	3.40 a	357 a	30.37 a
Absent	26.85 b	8.92 a	2.94 b	360 a	29.0 a
Factor	ANOVA - F probability
K application rate (K)	0.0367	0.1339	0.8971	0.3340	0.6711
Rhizobacterium (R)	<0.0001	0.9818	0.0496	0.8197	0.0894
R x K	0.0701	0.0778	0.0668	0.4909	0.0940

• *Values followed by the same letter in each column do not differ from each other according to a Tukey test at p <0.05. Each mean is the average of 16 means (four replications and four N, P or K application rates).

Table 2
Photosynthesis (A), transpiration (E), stomatal conductance (gs), internal CO₂ concentration (Ci) and leaf temperature (Tleaf) of flooded rice plants, cultivar BRS Catiana, in the reproductive stage. The plants were treated with BRM 32110 (Bacillus thuringiensis) and different doses of nitrogen (N), phosphorus (P) or potassium (K). Formoso do Araguaia, growing season 2016/17.

	N
Rhizobacterium BRM 32110	A	E	gs	Ci	Tleaf
	µmol CO2 m-2s-1	mmol H2O m-2s-1	mol H2O m-2s-1	vpm	ºC
Present	24.56 a	5.69 a	2.60 a	319 a	30.4 a
Absent	22.91 b	5.68 a	2.71 a	329 a	30.8 a
Factor	ANOVA - F probability
N application rate	0.0993	0.0805	0.4903	0.0871	0.0551
Rhizobacterium (R)	0.0203	0.9599	0.7194	0.0591	0.2454
R x N	0.0654	0.0615	0.0529	0.0601	0.0628
	P
Present	24.69 a	6.31 a	2.43 a	324 a	30.4 a
Absent	23.05 b	6.42 a	2.05 b	323 a	30.2 a
Factor	ANOVA - F probability
P application rate	0.0503	0.0534	0.1050	0.0611	0.8542
Rhizobacterium (R)	0.0017	0.4940	0.0182	0.7274	0.1123
R x P	0.0523	0.4198	0.1191	0.0665	0.0979
	K
Present	24.25 a	6.17 a	2.89 a	340 a	29.7 a
Absent	24.93 a	5.94 a	3.06 a	336 a	29.9 a
Factor	ANOVA - F probability
K application rate	0.0602	0.0825	0.8693	0.0507	0.0533
Rhizobacterium (R)	0.1528	0.3027	0.6684	0.1502	0.4170
R x K	0.0562	0.0449	0.0691	0.0644	0.0502

• *Values followed by the same letter in each column do not differ from each other according to a Tukey test at p <0.05. Each mean is the average of 16 means (four replications and four N, P or K application rates).

Regarding shoot nutrient contents in the flooded rice plants, the interactions between the N application rate and BRM 32110 influenced P, K and Ca (Table 3). Plants treated with BRM 32110 showed greater P and Ca accumulation in the shoot as the N application rate increased, while the K shoot contents remained constant with increasing N application rates (Figure 1). On the other hand, the untreated plants showed a reduction in the P, K and Ca contents as the N rate increased.

Table 3
Shoot macro- and micronutrient content of flooded rice, cultivar BRS Catiana, treated with BRM 32110 (Bacillus thuringiensis) and different doses of nitrogen (N), phosphorus (P) or potassium (K). Formoso do Araguaia, growing season 2016/17.

	N
Rhizobacterium BRM 32110	N	P	K	Ca	Mg	S	Cu	Fe	Mn	Zn
	........................ g kg-1.........................						............. mg kg-1..............
Present	31.29 a	3.23 a	16.11 a	6.95 a	2.03 b	3.16 a	7.55 a	168 a	731 a	24.86 b
Absent	31.95 a	3.11 b	16.30 a	6.52 a	2.16 a	3.12 a	8.35 a	205 a	892 a	27.04 a
Factor	ANOVA - F probability
Nitrogen application rate (N)	0.4723	0.2199	0.0029	0.3070	0.6753	0.3338	0.6686	0.6671	0.6332	0.2007
Rhizobacterium (R)	0.1842	0.0432	0.3449	0.0983	0.0014	0.8465	0.2993	0.4338	0.0835	0.0191
N x R	0.0885	0.0030	0.0436	0.0100	0.2466	0.4137	0.4444	0.4194	0.8752	0.7350
	P
Present	32.24 a	3.09 a	16.75 a	7.18 a	2.41 a	2.58 a	7.64 a	134 a	1200 a	23.42 a
Absent	31.62 a	3.02 a	16.81 a	6.83 a	2.36 a	2.78 a	7.83 a	138 a	1234 a	23.48 a
Factor	ANOVA - F probability
Phosphorus application rate (P)	0.5514	0.6658	0.0562	0.6513	0.8125	0.5361	0.5143	0.8672	0.7724	0.8177
Rhizobacterium (R)	0.4725	0.1586	0.7998	0.1165	0.4208	0.2181	0.5790	0.5851	0.4941	0.8785
P x R	0.1423	0.6223	0.5171	0.0556	0.4589	0.4572	0.3442	0.3368	0.1559	0.3527
	K
Present	27.47 a	3.00 a	20.60 a	6.71 a	2.70 a	2.59 b	7.73 a	120 a	849 a	23.31 b
Absent	26.75 a	3.09 a	20.02 a	6.92 a	2.59 b	2.98 a	7.55 a	106 a	752 b	24.83 a
Factor	ANOVA - F probability
Potassium application rate (K)	0.2445	0.8697	0.7676	0.6896	0.3500	0.8620	0.7893	0.5492	0.5540	0.6147
Rhizobacterium (R)	0.1526	0.0575	0.7365	0.4640	0.0110	0.0081	0.6629	0.3804	0.0017	0.0018
K x R	0.3713	0.1259	0.1960	0.4386	0.4594	0.4227	0.9397	0.7049	0.7854	0.6354

• *Values followed by the same letter in each column do not differ from each other according to a Tukey test at p <0.05. Each mean is the average of 16 means (four replications and four N, P or K application rates).

There was no effect of P application rates and BRM 32110 on the shoot nutrient content of the flooded rice plants (Table 3). On the other hand, in the K trial, effects of BRM 32110 on shoots were observed for only Mg, Mn and Zn contents. The increase in nutrient uptake following the use of PGPR in rice plants could be because of improvements in root development. More developed root systems can reach deeper soil layers and uptake more nutrients, as observed in our trial. Corroborating this information, Sousa, Nascente and Filippi (2019) showed that the application of PGPR BRM 32110 led to increases in root length in the flooded rice cultivar BRS Catiana and that the change in the roots of the treated plants differed from that of the control (no microorganism). According to Mantelin and Touraine (2004), the inoculation of PGPR can increase plant uptake of several nutrients, such as Ca, K, Fe, Cu, Mn, and Zn. This uptake usually occurs during acidification of the soil rhizosphere via organic acid production or stimulation of proton pump ATPase. Nevertheless, lower soil pH improves the solubilization of these nutrients. In addition, Rêgo et al. (2014) showed that rice plants treated with microorganisms have larger root systems, which can therefore uptake more nutrients than the root systems of untreated plants. Pérez-García, Romero and Vicente (2011) and Zhang et al. (2011) found that increasing root length and volume can promote a higher rate of absorption of water and minerals. Based on the results of all these authors, we can infer that in our trials, the application of BRM 32110 led to increases in lowland plant root systems, which then allowed the uptake of more nutrients.

The BRM 32110 treated rice plants showed increases of 7, 6.7 and 10% in SDM (shoot dry matter) and 9, 15 and 8% in GY (grain yield) in the N, P and K experiments, respectively (Table 4). In the N and P experiments, increases of 18 and 13% in NGP (number of grains per panicle), respectively, were observed. Moreover, in the K experiment, an increase of 6% was observed in the 1000 M (mass of 1000 grains). The highest increases in the grain yield and yield components of the rice plants treated with BRM 32110 can be explained, at least in part, by the increases in gas exchange, nutrient contents and biomass production of the shoots. In other words, this microorganism positively influenced plant development. This could be because BRM 32110 is characterized as a producer of cellulase, phosphatase, siderophores, biofilm, and hormones that allowed improved root development and nutrient uptake, leading to a direct effect on biomass production (NASCENTE et al., 2017a). Therefore, this microorganism can be used in field conditions to support better plant development without the use of synthetic products.

Table 4
Shoot dry matter (SDM), number of panicles per plant (NPP), number of grains per panicle (NGP), 1000 grain mass (1000 M) and grain yield (GY) of flooded rice, cultivar BRS Catiana, treated with BRM 32110 (Bacillus thuringiensis) and different doses of nitrogen (N), phosphorus (P) or potassium (K). Formoso do Araguais, growing season 2016/17.

	N
Rhizobacterium BRM 32110	SDM	NPP	NGP	1000 M	GY
	g m-2	unit	unit	g	kg ha-1
Present	186 a	89 a	112 a	28.05 a	5736 a
Absent	173 b	90 a	95 b	28.43 a	5286 b
Factor	ANOVA - F probability
Nitrogen application rate (N)	<0.001	0.5383	0.0005	0.0125	0.0127
Rhizobacterium (R)	0.0266	0.7453	0.0013	0.1829	0.0489
N x R	0.0607	0.3038	0.6562	0.1718	0.4824
	P
Present	178 a	82 a	94 a	28.35 a	5894 a
Absent	166 b	82 a	83 b	29.29 a	5113 b
Factor	ANOVA - F probability
Phosphorus application rate (P)	0.3325	0.3158	0.8096	0.1623	0.0743
Rhizobacterium (R)	0.0352	0.9231	0.0142	0.0562	0.0002
P x R	0.2090	0.1198	0.8840	0.9692	0.8622
	K
Present	179 a	86 a	99 a	28.31 a	5375 a
Absent	163 b	82 a	97 a	26.83 b	4971 b
Factor	ANOVA - F probability
Potassium application rate (K)	0.2488	0.3729	0.0915	0.3450	0.2562
Rhizobacterium (R)	0.0486	0.1265	0.6027	0.0016	0.0207
K x R	0.0759	0.2336	0.3394	0.6877	0.9984

• *Values followed by the same letter in each column do not differ from each other according to a Tukey test at p <0.05. Each mean is the average of 16 means (four replications and four N, P or K application rates).

In the N trial, there was a single effect of BRM 32110 on SDM, NGP and GY, and there was a single effect of N application rate on SDM, NGP, 1000 M and GY (Figure 2). According to Fageria (2014), nitrogen is a nutrient that is a component of many structural parts of plants, and increasing its values normally increases the biomass, yield components and grain yield of plants.

Figure 1
Shoot P, K and Ca contents (A, B and C, respectively) in tropical flooded rice with and without rhizobacterium BRM 32110 as a function of N application rates. Formoso do Araguaia, growing season 2016/2017

Figure 2
Plant biomass (A), number of grains per panicle (B) and grain yield (C) of tropical flooded rice as affected by N rates. Formoso do Araguaia, growing season 2016/2017.

In the P trial, there was no effect of P application rate on SDM, NPP, NGP, 1000 M or GY, which means that the same GY was observed regardless of the increase in P. However, there was a single effect of BRM 32110 on SDM, NGP, 1000 M and GY. The lack of an effect from the P application rate suggests that (a) the amount of P in the experimental soil prior to planting was already sufficient for the growth and development of the flooded rice plants (20.9 mg kg^-1; SOUSA; LOBATO, 2004) and/or (b) the presence of BRM 32110 promoted the mineralization of nonlabile soil P, making this nutrient available for plant uptake and leading to the same GY at 0, 40, 80 and 120 kg P₂O₅ ha^-1. BRM 32110 can solubilize phosphorus (NASCENTE et al., 2017a) by secreting organic acids and enzymes that act on insoluble phosphates, transforming them into soluble forms (FILIPPI et al., 2011; LAVAKUSH et al., 2014).

In the K trial, similar to the P trial, GY was the same regardless of the increases in K. However, there was a single effect of BRM 32110 on SDM, 1000 M and GY. According to Sousa and Lobato (2004), the experimental soil had a high level of fertility, with high amounts of P and K. Therefore, we can infer that in highly fertile soil, it is not necessary to apply P and K fertilizers and that the use of the rhizobacterium BRM 32110 can provide significant increases in flooded rice grain yield. Further, we can infer that the use of this microorganism can lead to saving money by reducing the fertilization of highly fertile soil.

These trials, performed in highly fertile soil and with four N, P and K application rates, showed that these nutrients had no interactions with the rhizobacterium studied. In other words, rhizobacterium BRM 32110 supported increases in flooded rice development, which were confirmed in the gas exchange rate, nutrient content, yield components and grain yield of the plants, independent of the N, P and K application rates. This result is different from those of Shaharoona et al. (2008), Zahir et al. (2008) and Nascente et al. (2019b), who worked in aerobic conditions and treated wheat and rice plants with Pseudomonas sp.; these authors observed increases in development and grain yield in plants with different levels of fertilizers. However, their studies were not conducted in highly fertile soil or saturated soil. Our trial, performed in a tropical region with no water deficit and high levels of P and K, showed that it is important to apply the correct amount of nutrients as defined by soil analyses and prior recommendations and that the use of rhizobacterium BRM 32110 (Bacillus thuringiensis) induced biomass increases, higher nutrient absorption, photosynthetic apparatus efficiency and rice yield. In addition to being ecologically friendly, this microorganism has the potential to sustainably increase tropical flooded rice production.

In addition, the use of BRM 32110 provided economic and environmental benefits due to the reduction in the use of chemical inputs and, consequently, the cost of production and pollution, respectively. Another important observation is that BRM 32110 is a biocontrol agent that can be used against Magnaporthe oryzae, the causal agent of rice blast (FILIPPI et al., 2011). Given all the beneficial effects of BRM 32110, we can characterize it as a multifunctional microorganism. The use of beneficial microorganisms in crop systems is increasing worldwide due to their reduced price in relation to that of synthetic inputs and the benefits they provide to the systems in which they are applied. Further, these microorganisms allow us to use biodiversity to improve plant development. The microorganism tested herein was selected from aerobic rice and was shown to be efficient in flooded rice. Next, we will develop a formulated product from this microorganism to make it available to farmers.

CONCLUSION

The use of rhizobacterium BRM 32110 led to increases in tropical flooded rice development, which could be observed in the gas exchange rate, nutrient content, yield components and grain yield of plants, independent of the N, P and K rates applied under fertile soil conditions.

ACKNOWLEDGEMENTS

We thank Embrapa for supporting this research [grant number 22.13.06.027.00.00, 2017] and the National Council for Scientific and Technological Development (CNPq) for an award for excellence in research to the first and second authors.

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Publication Dates

• Publication in this collection
  23 Nov 2020
• Date of issue
  Oct-Dec 2020

History

• Received
  30 Jan 2020
• Accepted
  23 July 2020