Groundnut grain yield responses to inoculation with Bradyrhizobium sp. and cyanobacteria

Groundnut grain yield responses to inoculation with Bradyrhizobium sp. and cyanobacteria | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Groundnut grain yield responses to inoculation with Bradyrhizobium sp. and cyanobacteria Diva Souza Andrade, Gisele Milani Lovato, Glaciela Kaschuk, Mariangela Hungria This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2401588/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Groundnut can obtain N from the N 2 fixation in the symbiosis with rhizobia and inoculation with selected strains can improve grain yields. We report the results from four field experiments, aiming to verify if microbial inoculants may improve groundnut performance, through the effects of single inoculation with Bradyrhizobium sp. (SEMIA6144), of co-inoculation Arthrospira platensis IPR7059 or Synechocystis sp. IPR7061, and of the N fertilization with 100 kg ha − 1 of N on plant growth, nodulation, N accumulated in tissues, grain protein, and grain yield. There were no effects of inoculation treatments and N-fertilizer on shoot and root dry weights. In clayey soil, co-inoculation with Bradyrhizobium sp. and cyanobacteria increased grain productivity by an average of 19% compared to the non-inoculated control. In this clayey soil with higher P content, regardless of whether co-inoculated with Bradyrhizobium sp. and cyanobacteria or single inoculated, grain productivity was 16% higher on average compared to nitrogen fertilizer. In conclusion, it was clear that success of rhizobia inoculation in groundnut is dependent on the soil, probably due to P limitation, and weather conditions. Arachis hypogaea Arthrospira platensis field-experiments grain protein peanut Synechocystis sp Figures Figure 1 Figure 2 Introduction Groundnut ( Arachis hypogaea L.) is a leguminous crop that produces shells and grains underground. Their seeds are highly valued for the oil (40–50%) and protein (20–30%) contents, being used for human food, livestock feed and other industrial uses, including biodiesel (Taurian et al. 2013 ; Moda-Cirino et al. 2015 ; Asante et al. 2020 ). Groundnut is an important crop for rotation and intercropping, and its cultivation as cover crop, green manure and intercrop may improve soil fertility as it may leave N-rich crop residues in the soil (Ennin et al. 2004 ; Jani et al. 2019 ). Groundnut was originated in eastern South America and it was already cultivated by the pre-Columbian peoples and carried to Asia and Africa in the sixteenth century (Bouznif et al. 2019 ). Today, it is cultivated in about 120 countries occupying approximately 29.6 million ha, with an average yield of 1.6 t ha − 1 (FAO 2021). The largest groundnut producers worldwide are China, India, Nigeria, the USA, Sudan and Indonesia, but it is also considered an important crop in Brazil. In 2019, Brazil produced 580 Mt, using an area of 171.6 Mha with yield average of 3.3 t ha − 1 in the first season (CONAB 2021; FAO 2021) and 1.7 t ha − 1 in the second season (CONAB 2021). Groundnut can obtain the high N demand by the biological N 2 fixation (BNF) process, which plays a major role in sustaining soil fertility and crop production (Giller et al. 1987 ; Kermah et al. 2018 ; Peoples et al. 2021 ). Under field conditions, symbioses are established both with indigenous and co-introduced rhizobia strains (Muñoz et al. 2011 ; Bouznif et al. 2019 ) and may result in abundant nodulation (Castro et al. 1999 ; Lanier et al. 2005 ; Torres-Júnior et al. 2014 ; Asante et al. 2020 ; Jovino et al. 2022 ). Bradyrhizobium spp. has been recognized as the most representative symbiotic rhizobial species for groundnut (Bouznif et al. 2019 ), however, variable results have been reported with inoculation of selected Bradyrhizobium strains. In the USA, inoculation was successful to increase yields in 7 out of 20 experiments, where groundnut had not been grown before (Lanier et al. 2005 ). In Argentina, inoculation of selected strains did not improve yields in comparison to non-inoculated fields, and nitrogen fixation by the indigenous rhizobia allowed reaching maximal yields (Bogino et al. 2006 ). For these examples and others elsewhere, the variable responses of the inoculation of groundnut with Bradyrhizobium could be attributed to the variable environmental conditions in which the crop was growing (Castro et al. 1999 ; Lanier et al. 2005 ; Bogino et al. 2006 ; Torres-Júnior et al. 2014 ; Asante et al. 2020 ; Jovino et al. 2022 ). In the meantime, eubacteria of the phylum Cyanobacteria have been called attention of those who search for sustainable development (Sutherland et al. 2021 ; Taira et al. 2021 ) because they could be applied both as wastewater bioremediation (Araujo et al. 2021 ; Melo et al. 2022 ) and as agricultural inoculant or biofertilizer (Gavilanes et al. 2020 ; Horácio et al. 2020 ; Supraja et al. 2020b ). Cyanobacteria were the first organisms to evolve photosynthesis, and some species such as Anabaena sp. and Nostoc sp. are N 2 fixing and they have been used as co-inoculants with Azospirilum brasilense in maize (Gavilanes et al. 2020 ) and a mix of Rhizobium tropici , R. freirei plus A. brasilense in common bean (Horácio et al. 2020 ). However, other cyanobacteria do not fix N, but they may contribute to crop growth with similar mechanisms of the most commonly known plant growth promoting bacteria (Singh et al. 2017 ; Gavilanes et al. 2021 ). In our study, two species of cyanobacteria were chosen based on previous work by our group that used those in a field experiment using groundnut (Andrade et al. 2014b ). The first, Arthrospira ( Spirulina ) platensis, is a filamentous Gram-negative cyanobacterium that grows on photoautotrophy condition and does not fix N. When inoculated in Phaseolus aureus and P. mungo (Bhowmik et al. 2010 ), or applied as biofertilizer in Begonia semperflorens (Jowkar et al. 2017 ), rice ( Oryza sativa ) (Dineshkumar et al. 2018 ), radish ( Raphanus sativus ) (Godlewska et al. 2019 ), tomato ( Solanum lycopersicum ) (Supraja et al. 2020b ), and groundnut (Sivalingam 2020 ), it increased seed germination and plant growth. The second one, Synechocystis sp. is also a unicellular non-nitrogen fixing cyanobacterium that primarily inhabits water environments and soil, which has been characterized for the elevated production of phytohormones when inoculated in the rhizosphere of wheat ( Triticum aestivum ) (Khurshid et al. 2017 ). Aiming to confirm if microbial inoculants may improve groundnut performance due to its beneficial effects, we carried out four field experiments in different soil and climate conditions to compare single inoculation with Bradyrhizobium sp., double inoculation with cyanobacteria and N-fertilizer on groundnut growth and grain yield. Material And Methods Microbial strains Bradyrhizobium sp. strain (SEMIA6144 = SM400, =USDA3187, MAR11) that is used in commercial inoculants in Brazil was provided by the Microbiological Resource Center, Porto Alegre, Brazil (FEPAGRO). The cyanobacteria were obtained from the Microalgae IPR Collection of the Instituto de Desenvolvimento Rural do Paraná - IAPAR-EMATER (IDR-Paraná). Arthrospira ( Spirulina ) platensis (IPR7059) was kindly provided by Dr Iracema de Oliveira Moraes (Fundação Andre Tosello, Brazil) and Synechocystis sp. (IPR7061) was isolated from freshwater in Paraná state, Brazil (Andrade et al. 2014a). Experimental site description and design The experiments were performed during the summer season of 2011–2012 at experimental stations of the IDR-Paraná under four different edaphic-climate conditions (Fig. 1 and Table 1 ), using two sandy soils (Paranavai and Umuarama), a sand-clay-loamy soil (Ponta Grossa) and a clayey soil (Londrina), which are classified as Paleudult (Ultisol udic), Rhodic Haploperox (Oxisol perudic) and Rhodudults (Ultisol udic), respectively (Soil Survey Staff 2014 ). Rainfall and temperature during the crop growing season at each experimental site are presented in Fig. 2 a-d. Table 1 Soil physico-chemical properties of soils of the experimental fields and most probable number (MPN) groundnut-nodulating of rhizobia (cells g of dry soil − 1 ). Field experiment geographical location. Soil sampling done before sowing at top layer of 0 to 0.10 m. Values are on an oven-dried soil mass basis Soil/climate features Paranavaí Umuarama Ponta Grossa Londrina Sand (g kg − 1 ) 880 850 160 230 Silt (g kg − 1 ) 20 20 160 190 Clay (g kg − 1 ) 100 130 680 580 pH (CaCl 2 ) 4.6 4.70 5.10 5.60 P (mg dm − 3 ) 5.6 20.40 11.20 22.20 C (g dm − 3 ) 5.37 9.11 25.78 16.51 N (g dm − 3 ) 0.46 0.79 2.22 1.42 Al (cmol c dm −3 ) 0.15 0,13 0.00 0.00 H + Al (cmol c dm −3 ) 3.68 3.97 6.68 3.97 Ca (cmol c dm −3 ) 1.77 1.67 4.52 4.80 Mg (cmol c dm −3 ) 0.65 0.82 2.96 3.00 K (cmol c dm −3 ) 0.10 0,12 0.12 0.50 S (cmol c dm −3 ) 1.76 2.61 7.60 8.30 T (cmol c dm −3 ) 5.43 6.58 14.28 12.27 V (%) 32.22 39.66 53.22 67.64 Al (%) 7.89 4.74 0.00 0.00 MPN Cells x10 3 9.17 3.57 1.12 7.23 Geographical information Latitude 23º04' S S 23º 38' 51.8'' S 25º 05' 58'' 23° 18' 37'' S Longitude 52º 27' 56'' W W 52º 42' 33.9'' W 50º 09' 30'' 51º 0.9' 46'' W Elevation (m) 446 543 880 582 Köppen climate classification Cfa Cfa Cfb Cfa Soil chemical analyses were performed according to Pavan et al. ( 1992 ) and soil total N content was calculated (Andrade et al. 2015 ) by using the Eq. 1 : $$N=C(1.724/)$$ 1 where: N is soil total nitrogen and C is soil total carbon. The most probable number (MPN) counts of fresh soil samples were obtained with the procedures described by Andrade and Hamakawa ( 1994 ), slightly modified by using groundnut surface disinfected seeds pre-germinated into moist paper at 28 ± 2 o C for 30 h before planting in sterilized “Leonard jars” containing sterilized sand and vermiculite (3:1) and nutrient solution without N. Data from soil chemical and MPN analyses are shown in Table 1 . Before groundnut sowing, soil was fertilized with 300 kg ha -1 of fertilizer 0-20-20, applied in the sowing furrows. The treatment of N-fertilizer received 100 kg ha -1 of N (urea source), split in two applications: 20 kg ha -1 of N applied in the furrow at sowing and 80 kg ha -1 of N top-dressed on the soil surface at 25–30 days after emergence. The experiments consisted of seven treatments, and in all inoculation treatments the application was on seeds at sowing. The treatments were: i) control without inoculation, without N-fertilization; ii) N-fertilization with 100 kg ha − 1 of N; iii) Inoculation with B. japonicum strain SEMIA6144 (peat); iv) Inoculation with B. japonicum SEMIA6144 (fine shale); v) Inoculation with A. platensis IPR7059 (fine shale) and; vi) Co-inoculation with B. japonicum SEMIA6144 and A. platensis IPR7059 (fine shale); vii) Inoculation with Synechocystis sp. IPR7061 (fine shale) viii) Co-inoculation B. japonicum SEMIA6144 and Synechocystis sp. IPR7061 (fine shale). The treatment of inoculation of B. japonicum (SEMIA6144 = SM400, =USDA3187, MAR11) was achieved by adding inoculant either in peat or fine shale (plus 1% of carboxymethylcellulose and polyvinylpyrrolidone) as solid carrier, at concentration of 10 9 viable cells g − 1 . For the inoculation, the seeds were moistened with sterile water at 10% sugar and applied at the rate of 500 g inoculant to 50 kg of seeds. For cyanobacteria inoculation, it was used a suspension of cells with approximately 10 6 cells mL − 1 at rate of 12 mL kg − 1 of seeds. Each one of cyanobacteria, A. platensis IPR7059 or Synechocystis sp. IPR7061, which was grown in N-free culture BG11medium (Rippka et al. 1979 ), for 30 days using 12 h of light phase (temperature of 28.0 ± 2.0°C) and dark phase (22.0 ± 2.0°C). For the controls with and without N mineral the procedure was the same, but without inoculants. After inoculation of the seeds with their respective treatments, sowing took place manually, in-furrows made by disking, using an average of 60 kg seeds ha − 1 . Trifluralin was applied after planting at a dose of 3.5 L ha − 1 . The experiments were arranged under randomized complete blocks with five replications. Each plot had an area of 4.0 m x 6.0 m (24 m 2 ), consisting of eight furrows with 6 m length and 0.5 spacing. Samplings At the late flowering (R2 stage), 8–12 plants from each plot were uprooted in the second and seventh rows, to assess nodulation (number and mass of dry matter of nodules), shoot dry matter and N content. The nodules were removed under running tap water and kept in the freezer (-18 ± 2°C) until assessments according to procedures described by Cardoso et al. ( 2009 ). Nodules and plant dry weight were measured after drying the samples at 60°C for 72 h. For grain yield, the plants were harvested on the four central lines (8 m 2 ) and the results were expressed in kg ha -1 with moisture corrected to 8%. Grain was analyzed for N content by the Kjeldahl digestion method (Bremner and Keeney 1966 ) and, crude protein content was calculated by multiplying N content (%) by a factor of 6.25. The shelling (%) was calculated from the seed weight per plants related to pod weight by multiply per 100. Statistical analysis The data were analyzed for normal distribution and homogeneity of variance, and log-transformed when necessary. Data were analyzed by one-way analysis of variance according to the procedures outlined by Snedecor and Cochran ( 1980 ), and the means were compared by Scott-Knott test at 0.05 probability level. Results And Discussion Literature has pointed out that groundnut is a very promiscuous microsymbiont as this crop establishes symbiosis with both native and introduced rhizobia at the same proportions (Torres-Júnior et al. 2014 ; Li et al. 2015 ; Muñoz et al. 2015 ; Bouznif et al. 2019 ). Excepting Paranavaí (Table 2 ), there were no effects of inoculation treatments and N-fertilizer on nodule mass and numbers in relation to control (Tables 3 – 5 ), indicating that the native bradyrhizobia were highly competitive to induce nodule formation in groundnut. Similar results were also obtained elsewhere in Brazil (Santos et al. 2017 ), Argentina (Castro et al. 1999 ; Bogino et al. 2006 ), the USA (Lanier et al. 2005 ), and Ghana (Asante et al. 2020 ). Probably due to promiscuity nature of groundnut and the competitiveness of native rhizobial strains (Bouznif et al. 2019 ), only few very effective strains stand out for N 2 fixation rates and plant-growth promotion of groundnut (Bogino et al. 2006 ; Torres-Júnior et al. 2014 ; Jovino et al. 2022 ). Table 2 Roots dry weight (RDW) in 0–10 cm, shoot dry weight (SDW), concentration of N in shoot (g kg − 1) , N uptake (mg N plant − 1 ), nodulation (number and dry weight of nodules per plant), shell and shelling, concentration of N (g kg − 1 ), N uptake (kg N ha − 1 ) and crude protein in grains, grain production (kg ha − 1 ) and yield increase (%) of groundnut (cv. IAC Tatu-ST) inoculated with Bradyrhizobium sp. (SEMIA6144). Arthrospira platensis (IPR7059) and Synechocystis sp. (IPR7061). Cropping seasons 2011/2012 – Paranavaí, PR. Values are means of five repetitions Treatments RDW SDW N shoot N uptake Nodule Nodule Shell Shelling N grain Protein N grain e Yield f Increase g pl − 1 g pl − 1 g kg − 1 mg pl − 1 Nº pl − 1 mg pl − 1 kg ha − 1 (%) g kg − 1 % kg ha − 1 kg ha − 1 % Control 2.64a 26.22b 28.17b 678b 179.6 96.13a 801 60 51.90 33.1 96a 1845a - a N-mineral 2.02a 24.95b 32.60a 827a 145.2 65.30b 851 60 54.63 33.8 98a 1743a -5.5 b 6144 2.67a 25.53b 31.09a 812a 123.9 91.35a 1015 60 52.45 32.8 98a 1837a -0.4 c 6144 2.13a 23.17b 28.26b 658b 148.0 80.76a 999 63 52.91 34.1 100a 1794a 2.8 d 7059 1.41a 22.47b 28.66b 644b 113.1 65.38b 978 65 54.15 32.4 101a 1812a -1.8 c 7059+6144 2.21a 31.37a 27.71b 890a 105.2 69.15b 820 63 53.12 33.0 83b 1482b -19.6 d 7061 2.32a 25.37b 32.26a 812a 149.0 86.63a 915 63 52.74 32.8 103a 1877a 1.7 c 7061+6144 2.34a 21.93b 34.31a 753a 100.4 57.33b 963 60 52.53 33.2 106a 2016a 9.3 F value 2.77* 2.91* 2.37 * 2.24* 1.43ns 3.14* 1.48ns 0.44ns 0.60ns 0.59ns 2.39* 2.54* CV (%) 24.28 15.56 12.60 17.83 18.08 23.29 16.81 8.36 4.96 4.97 11.84 12.93 ns = not significant ( p > 0.05); *Significant at p < 0.05; **significant at p < 0.01. Means followed by the same letter, within each column, are not different by Scott-Knott test, p = 0.05 . a Urea (100 kg N ha − 1 ); b Peat. c Fine shale used as carrier of microbial inoculants. d Cell suspension. e Grain corrected to 8% moisture. f Grain yield increase in relation to control treatment Table 3 Roots dry weight (RDW) using 0–10 cm, shoot dry weight (SDW), concentration of N in shoot (g kg − 1) , N uptake (mg N plant − 1 ), nodulation (number and dry weight of nodules per plant), shell and shelling, concentration of N (g kg − 1 ), N uptake (kg N ha − 1 ) and crude protein (%) in grains, grain production (kg ha − 1 ) and yield increase (%) of groundnut (cv. IAC Tatu-ST) inoculated with Bradyrhizobium sp. (SEMIA6144), Arthrospira platensis (IPR7059) and Synechocystis sp. (IPR7061). Cropping seasons 2011/2012 - Umuarama PR. Values are means of five repetitions Treatments RDW SDW N shoot N uptake Nodule Nodule Shell Shelling N grain Protein N grain e Yield f Increase g pl − 1 g pl − 1 g kg − 1 mg pl − 1 Nº pl − 1 mg pl − 1 kg ha − 1 % g kg − 1 % kg N ha − 1 kg ha − 1 % Control 2.22 15.07 30.70 454 99.7 116.6c 2157 63 54.44 34.5 201 3685 - a N-mineral 2.11 16.11 29.22 471 110.9 122.0c 2124 65 54.88 34.8 217 3970 7.7 b 6144 2.28 15.06 29.42 442 48.9 93.5c 2088 68 55.38 34.6 244 4412 19.8 c 6144 2.02 13.70 30.26 413 63.7 110.2c 2139 65 55.27 34.3 216 3909 6.1 d 7059 2.24 17.03 29.30 513 97.9 124.3c 2201 63 55.72 34.0 201 3606 -2.1 c 7059+6144 2.43 18.30 29.87 545 169.7 216.2a 2087 65 55.43 33.8 198 3576 -3.0 d 7061 2.32 18.18 31.61 566 97.2 161.7b 2169 62 54.09 34.7 207 3830 4.0 c 7061+6144 2.28 15.27 32.80 499 86.2 146.4c 1996 64 55.58 34.6 198 3567 -3.2 F value 0.47ns 0.73ns 0.44ns 0.70ns 1.94ns 5.68** 0.15ns 0.94ns 0.48ns 0.49ns 1.46ns 2.41ns CV (%) 18.38 26.49 13.97 28.75 29.39 26.51 20.32 7.31 3.39 3.40 13.79 15.01 ns = not significant ( p > 0.05); *Significant at p < 0.05 . Means followed by the same letter, within each column, are not different by Scott-Knott test, p = 0.05 . a Urea (100 kg N ha − 1 ); b Peat or c Fine shale used as carrier of microbial inoculants. d Cell suspension. e Grain corrected to 8% moisture. f Grain yield increase in relation to control treatment Treatments DRDW SDW N shoot N uptake Nodule Nodule Shell Shelling N grain Protein N grain e Yield f Increase Table 5 Roots dry mass (RDW) using 0–10 cm, shoot dry mass (SDW), concentration of N in shoot (g kg − 1) , N uptake (mg N plant − 1 ), nodulation (number and dry weight (mg) of nodules per plant), shell and shelling, concentration of N in grain (g kg − 1 ), N grain (kg N ha − 1 ) and crude protein (%) in grains. grain production (kg ha − 1 ) and yield increase (%) of groundnut (cv. IAC Tatu-ST) plants inoculated with Bradyrhizobium sp. (SEMIA6144), Arthrospira platensis (IPR7059) and Synechocystis sp. (IPR7061). Cropping seasons 2011/2012 - Londrina, PR. Values are means of five repetitions g pl − 1 g pl − 1 g kg − 1 mg pl − 1 Nº pl − 1 mg pl − 1 kg ha − 1 % g kg − 1 % kg ha kg ha − 1 % Control 5.69 16.68 35.31 582 52.6 39.32 1798 64 49.49 30.9 151b 3060b - a N-mineral 4.27 15.98 32.61 522 32.4 31.42 1879 64 48.00 30.0 158b 3281b 7.2 b 6144 5.13 16.45 32.80 537 37.0 43.85 1932 67 49.29 30.8 197a 4006a 30.9 c 6144 4.25 13.85 36.61 508 42.4 41.72 1823 68 49.52 31.0 190a 3847a 25.7 d 7059 5.68 16.42 34.02 555 36.6 43.38 1852 68 47.88 29.9 185a 3879a 26.8 c 7059+6144 4.37 14.49 34.80 505 41.3 42.09 1848 67 49.86 31.2 189a 3800a 24.2 d 7061 5.82 15.14 34.95 532 49.6 51.92 1864 68 48.84 30.5 190a 3888a 27.0 c 7061+6144 4.92 15.27 34.81 537 36.9 45.40 1701 67 50.17 31.4 176a 3497b 14.3 F value 1.22ns 0.30ns 0.15ns 0.98ns 1.38ns 0.14ns 0.44ns 0.83ns 0.83ns 2.89* 2.82* - CV (%) 27.08 22.42 15.74 26.54 38.02 25.92 21.68 8.36 4.16 4.16 12.21 12.34 - ns = not significant ( p > 0.05); *Significant at p < 0.05 . Means followed by the same letter. within each column. are not different by Scott-Knott test, p < 0.05. 1 Urea (100 kg N ha − 1 ); a Urea (100 kg N ha − 1 ); b Peat or c Fine shale used as carrier of microbial inoculants. d Cell suspension. e Grain corrected to 8% moisture. f Grain yield increase in relation to control treatment Co-inoculation of rhizobia with other microorganisms has been often suggested as additive hypothesis to improve rhizobial symbiosis and N 2 fixation in grain legumes due to complementary mechanisms of plant growth promotion (Ahemad and Kibret 2014 ; Gavilanes et al. 2020 ). There have been some successful examples of co-inoculation of Bradyrhizobium with other collaborative microorganisms in groundnut, e.g. Azospirillum brasilense (Gericó et al. 2020 ), Bacillus spp. (Figueredo et al. 2014 ; Preyanga et al. 2021 ; Kaschuk et al. 2022 ), Serratia marcescens , and Trichoderma harzianum (Badawi et al. 2011 ). The benefits of co-inoculation may be direct on nodule formation or indirect; for example, a meta-analysis revealed that co-inoculation of bradyrhizobia and Bacillus spp. significantly increases root and shoot sizes of groundnut (Kaschuk et al. 2022 ). Groundnut and common beans are, among grain legumes, the crops with the highest gap for the biological N 2 fixation to meet their N demands (Palmero et al. 2022 ), whereas crop such as soybean promptly responds to inoculation with elite strains, and they acquire sufficient N 2 fixation to satisfy their crop N demands (Kaschuk et al. 2016 ). Indeed, in this study, with the exception of Londrina, where the single inoculation with Bradyrhizobium sp. SEMIA6144 or co-inoculation with A. platensis IPR7059 or Synechocystis sp. IPR7061 increased the amount of N accumulated in the grains per hectare (Table 5 ), there were no effects of the treatments on the shoot N, and on the grain N and protein concentrations (Tables 2 – 5 ). In contrast, other studies have shown that inoculation of groundnut with Bradyrhizobium were symbiotically more efficient than nodules elicited by native rhizobial strains (Rosália et al. 2008 ; Torres-Júnior et al. 2014 ; Santos et al. 2017 ; Jovino et al. 2022 ). For example, Jovino et al. ( 2022 ) measured the N derived from N 2 fixation (Ndfa%) with the δ15N technique, and showed that groundnut inoculated with Bradyrhizobium sp. SEMIA6144 (Ndfa = 77.1%) or Bradyrhizobium sp. ESA123 (Ndfa = 75.3%) had rates of biological N 2 fixation as the control plants (Ndfa = 69.3%). However, groundnut inoculated with any of the Bradyrhizobium strains (SEMIA6144 or ESA123) had more N accumulated in the shoots, and produced similar grain yields as the N-fertilized ones, showing that the introduction of efficient Bradyrhizobium strains was a limiting factor of nodule efficiency and plant growth (Jovino et al. 2022 ). In our study, except in Londrina, where N in the crop was higher than the rest, there were no effects of single inoculation of Bradyrhizobium sp. SEMIA6144, co-inoculation with A. platensis IPR7059 or Synechocystis sp. IPR7061, and N-fertilizer, on shoot and root dry weights (Tables 2 – 5 ), indicating that N 2 fixation and grain yield in three out of four locations were not limited by rhizobial inoculation. In addition, the cyanobacteria IPR7059 and IPR7061 were chosen to be co-inoculated with Bradyrhizobium sp. SEMIA6144 because their genera have been related to plant growth in other crops (Bhowmik et al. 2010 ; Khurshid et al. 2017 ; Sivalingam 2020 ; Supraja et al. 2020a ). Despite initial evidences of plant growth stimulation in other crops, there were only significant effects on nodule mass in Umuarama due to co-inoculation of strain SEMIA6144 with Arthrospira platensis IPR 7059 (Table 3 ), and higher (but not significant) grain yield in Paranavaí due to co-inoculation with IPR7061 (Table 2 ). Such as rhizobia inoculation, it could be that the stimulus from cyanobacteria Arthrospira platensis IPR7059 or Synechocystis sp. IPR7060 or any other plant-growth promoting microorganism was not the factor limiting plant growth and grain yield of groundnut. According to Liebig's law of the minimum, the crop yield is limited by the lack of one or more factors that are provided in lesser quantity. Usually, the N is one of the most limiting factors for grain legume crops. However, under the conditions of our experiments, nodulation and biological N 2 fixation were not the limiting factor for groundnut yield. Moreover, an interesting point was that indicators of plant growth (root and shoot dry weights, N contents in shoot and grains, shells and shelling, grain yield) hardly changed because of the inoculation treatments (Table 2 – 5 ), but their averages varied among different locations. In fact, several studies have indicated that the performance of rhizobia symbiosis in groundnut is influenced by cultivars, rhizobial strains, soil physical and chemical attributes, land use history and agrometeorological conditions (e.g. Lanier et al. 2005 , Bogino et al. 2006 , Santos et al. 2008, Torres-Junior et al. 2014, Santos et al. 2017 , Asante et al. 2020 ). Considering the different locations, the average grain yield in Umuarama and Londrina (respectively, 3819 and 3657 kg ha − 1 , Tables 3 and 5 ) were comparable to the average yields of the most productive countries (for example, Argentina, with 3455 kg ha − 1 in 2019; FAO 2021) and also Brazil ((Moda-Cirino et al. 2015 ), whereas the yield of groundnut in Paranavaí and Ponta Grossa were much lower (respectively, 1852 and 1328 kg ha − 1 , Tables 2 and 4 ), comparable to lesser productive areas in the world, which includes the national average of Brazil itself (FAO 2021). We could ascribe the lower grain productivity to the lower amount of rain in the phases that the plant needs water for development in these two experiments (Paranavai and Ponta Grossa) than in Londrina and Umuarama. We suggest that the lower grain yields in these two experiments (Paranavai and Ponta Grossa) than in Londirna and Umuarama was due to less rainfall (Fig. 2 a-d). Also, the lower soil P content in Paranavai and Ponta Grossa should be highlighted as a possible cause, since it is an important factor for symbiosis (Table 1 ). Also, analyzing the soil chemical characteristics of the field experiments, it was possible to notice that what the two locations with higher grain yields (Umuarama and Londrina) had in common was the higher availability of soil phosphorus in comparison with that of Paranavaí and Ponta Grossa (Table 1 ). These facts evidence that soil P availability may be limiting groundnut in our experiments. Indeed, the influence of phosphorus fertilization (and liming) on groundnut yields has already been demonstrated many times (Asante et al. 2020 ) using strains USDA3456 and BR3267 (Naabe et al. 2021b ) strain BR3267. In Ghana, nodulation and groundnut yield varied in function of soil P fertilization, the cultivar and the Bradyrhizobium strain used in inoculation, but the combination of 30 kg P ha − 1 with inoculation with Bradyrhizobium BR3267 increased groundnut yield by 64 and 68% respectively, in relation to the non-N-fertilized and non-inoculated treatments (Asante et al. 2020 ). Similar results were obtained by Naabe et al. ( 2021a ) utilizing Bradyrhizobium USDA110 to groundnut. In Londrina, where soil P supply was higher (Table 1 ), the inoculation of Bradyrhizobium sp. SEMIA6144 increased yields in relation to non-inoculated and N-fertilized treatments (Table 5 ). This result suggests that P limitation is a possible explanation for the little effects of rhizobial inoculation, though the experiment was not designed to confirm that hypothesis. Therefore, on one hand, we conclude based on the results from the four field experiments that co-inoculation of Bradyrhizobium sp. SEMIA6144 with cyanobacteria A. platensis IPR7059 or Synechocystis sp. IPR7061 does not overcome the limitations for increasing nodulation, N 2 fixation and grain yields of groundnut under Paraná State conditions. On the other hand, the analysis of the results indicated that success of rhizobia inoculated groundnut is clearly dependent on the soil chemical attributes of the soil, probably due to P limitation, and weather conditions. Following that, studies of rhizobia inoculation should include P fertilization and consortia with microorganisms that increase the availability of P (Taurian et al. 2013 ). Most importantly, the similar results between microbial and N-fertilizer treatments show that the paradigm of increasing doses of N steadily increase grain yields should be revisited, particularly with the new technological advances obtained in the field of agricultural microbiology (Santos et al. 2019 ; Bomfim et al. 2021 ). Declarations Declaration of Competing Interest: The authors declare that they have no known competing financial interests. Acknowledgements: This study was partially supported by Petrobras SIX, São Mateus do Sul, PR – Agricultural Shale Project at Instituto Agronômico do Paraná (IAPAR) and by the CNPq (National Council for Scientific and Technological Development, Brazil), Project INCT-CNPq (MPCPAgro 465133/2014-2). The authors are grateful to Maria Aparecida de Matos, Orazilia Dorigo; Paulo Sergio Aguilar and Alisson W. Sanzovo for helping with the field experiments and analytical analyses. M Hungria and DS Andrade acknowledge research fellow from CNPq. References Ahemad, M, Kibret, M. (2014). Mechanisms and applications of plant growth promoting rhizobacteria: Current perspective. J King Saud Univ Sci 26 : 1-20. https://doi.org/10.1016/j.jksus.2013.05.001. Andrade, DS, Colozzi Filho, A, Gatti, I (Eds.), 2014a. Microalgas de águas continentais: Coleção IPR de microalgas. 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Effects of single and co-inoculation with native phosphate solubilising strain Pantoea sp J49 and the symbiotic nitrogen fixing bacterium Bradyrhizobium sp SEMIA 6144 on peanut (Arachis hypogaea L.) growth. Symbiosis 59 : 77-85. https://doi.org/10.1007/s13199-012-0193-z. Torres-Júnior, CV, Leite, J, Santos, CRS, Fernandes Junior, PI, Zilli, JE, Rumjanek, NG, Xavier, GR. (2014). Diversity and symbiotic performance of peanut rhizobia from Southeast region of Brazil. Afr J Microbiol Res 8 566-577. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-2401588","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":162344957,"identity":"2810e255-6736-4e83-94e1-3a0e5f9e0bae","order_by":0,"name":"Diva Souza Andrade","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyElEQVRIiWNgGAWjYDCCw0D8wYAZIWBAjBbGGaRpOcDAwMzDQIoWvuM8hp9tCqzzGaR7HzB+qTjMYC59AL8WycM8xtI5BumWDTLHDZhlzhxmsOxLwK/F4DBbAlDLYQMGiTQGZsm2NAaDMwQcBtSS/NuCRC3Mx6QZoFoYP7bZENYiCdRi2WOQbsAmcwwY4GdseCx7CGjhO3+w+caPP9YG/NJtjA9/VEjImfMQ0AIHbBLAaAWqJloDEAC1MP4gQf0oGAWjYBSMHAAA2vc3SuW5ii8AAAAASUVORK5CYII=","orcid":"","institution":"Instituto de Desenvolvimento Rural do Paraná - IAPAR-EMATER","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Diva","middleName":"Souza","lastName":"Andrade","suffix":""},{"id":162344958,"identity":"8da94941-2ecb-447f-9ea5-41bbe35026ec","order_by":1,"name":"Gisele Milani Lovato","email":"","orcid":"","institution":"Instituto de Desenvolvimento Rural do Paraná - IAPAR-EMATER","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Gisele","middleName":"Milani","lastName":"Lovato","suffix":""},{"id":162344959,"identity":"edd858a6-4750-4433-a836-ee38ca987a34","order_by":2,"name":"Glaciela Kaschuk","email":"","orcid":"","institution":"Federal University of Paraná","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Glaciela","middleName":"","lastName":"Kaschuk","suffix":""},{"id":162344960,"identity":"74caa51a-cc18-41ad-8325-4762e0bc2d02","order_by":3,"name":"Mariangela Hungria","email":"","orcid":"","institution":"Embrapa Soja","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mariangela","middleName":"","lastName":"Hungria","suffix":""}],"badges":[],"createdAt":"2022-12-21 13:44:20","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2401588/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2401588/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":31023340,"identity":"664b428b-bb92-445f-8851-e2e4c1df969e","added_by":"auto","created_at":"2023-01-03 14:22:15","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":282685,"visible":true,"origin":"","legend":"\u003cp\u003eLocations of groundnut experimental fields in the State of Paraná, Brazil\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-2401588/v1/cc2c5bcdd5d90bd0436d939c.png"},{"id":31023339,"identity":"498ce2f1-1344-430c-be55-3d1cbf38d844","added_by":"auto","created_at":"2023-01-03 14:22:15","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":124137,"visible":true,"origin":"","legend":"\u003cp\u003eDaily maximum and minimum temperature and rainfall during the groundnut cropping seasons. a) Paranavaí, sowing in 26/10/2011 and harvest in 15/02/2012, b) Umuarama sowing in 13/09/2011, nodulation in 10/11/2011 and harvest in 06/02/2012, c) Ponta Grossa sowing in 26/11/2012 and harvest in 03/04/2012 and d) Londrina sowing in 08/09/2011 and harvest in 28/02/2012. Data from the meteorological stations of the Instituto de Desenvolvimento Rural do Paraná - IAPAR-EMATER, and the Sistema de Tecnologia e Monitoramento Ambiental do Paraná (SIMEPAR), Brazil\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-2401588/v1/7292201325daf12223352a35.png"},{"id":31023343,"identity":"bebbc61d-5c02-480d-acfd-6071959cd8cf","added_by":"auto","created_at":"2023-01-03 14:22:22","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":772192,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2401588/v1/85f53abe-78f0-411e-bf8b-96a554b36be2.pdf"},{"id":31023342,"identity":"3835cec3-8ea3-4f72-97e1-2dbec0e19d7e","added_by":"auto","created_at":"2023-01-03 14:22:21","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":772192,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2401588/v1/7c53f662-8957-40b8-b7a1-cac9f631d36c.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eGroundnut grain yield responses to inoculation with Bradyrhizobium sp. and cyanobacteria\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eGroundnut (\u003cem\u003eArachis hypogaea\u003c/em\u003e L.) is a leguminous crop that produces shells and grains underground. Their seeds are highly valued for the oil (40\u0026ndash;50%) and protein (20\u0026ndash;30%) contents, being used for human food, livestock feed and other industrial uses, including biodiesel (Taurian et al. \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Moda-Cirino et al. \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Asante et al. \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Groundnut is an important crop for rotation and intercropping, and its cultivation as cover crop, green manure and intercrop may improve soil fertility as it may leave N-rich crop residues in the soil (Ennin et al. \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2004\u003c/span\u003e; Jani et al. \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Groundnut was originated in eastern South America and it was already cultivated by the pre-Columbian peoples and carried to Asia and Africa in the sixteenth century (Bouznif et al. \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Today, it is cultivated in about 120 countries occupying approximately 29.6\u0026nbsp;million ha, with an average yield of 1.6 t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e (FAO 2021). The largest groundnut producers worldwide are China, India, Nigeria, the USA, Sudan and Indonesia, but it is also considered an important crop in Brazil. In 2019, Brazil produced 580 Mt, using an area of 171.6 Mha with yield average of 3.3 t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e in the first season (CONAB 2021; FAO 2021) and 1.7 t ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e in the second season (CONAB 2021).\u003c/p\u003e \u003cp\u003eGroundnut can obtain the high N demand by the biological N\u003csub\u003e2\u003c/sub\u003e fixation (BNF) process, which plays a major role in sustaining soil fertility and crop production (Giller et al. \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e1987\u003c/span\u003e; Kermah et al. \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Peoples et al. \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Under field conditions, symbioses are established both with indigenous and co-introduced rhizobia strains (Mu\u0026ntilde;oz et al. \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2011\u003c/span\u003e; Bouznif et al. \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2019\u003c/span\u003e) and may result in abundant nodulation (Castro et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e1999\u003c/span\u003e; Lanier et al. \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Torres-J\u0026uacute;nior et al. \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Asante et al. \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Jovino et al. \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cem\u003eBradyrhizobium\u003c/em\u003e spp. has been recognized as the most representative symbiotic rhizobial species for groundnut (Bouznif et al. \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), however, variable results have been reported with inoculation of selected \u003cem\u003eBradyrhizobium\u003c/em\u003e strains. In the USA, inoculation was successful to increase yields in 7 out of 20 experiments, where groundnut had not been grown before (Lanier et al. \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2005\u003c/span\u003e). In Argentina, inoculation of selected strains did not improve yields in comparison to non-inoculated fields, and nitrogen fixation by the indigenous rhizobia allowed reaching maximal yields (Bogino et al. \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). For these examples and others elsewhere, the variable responses of the inoculation of groundnut with \u003cem\u003eBradyrhizobium\u003c/em\u003e could be attributed to the variable environmental conditions in which the crop was growing (Castro et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e1999\u003c/span\u003e; Lanier et al. \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Bogino et al. \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Torres-J\u0026uacute;nior et al. \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Asante et al. \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Jovino et al. \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn the meantime, eubacteria of the phylum Cyanobacteria have been called attention of those who search for sustainable development (Sutherland et al. \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Taira et al. \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) because they could be applied both as wastewater bioremediation (Araujo et al. \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Melo et al. \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) and as agricultural inoculant or biofertilizer (Gavilanes et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Hor\u0026aacute;cio et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Supraja et al. \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e2020b\u003c/span\u003e). Cyanobacteria were the first organisms to evolve photosynthesis, and some species such as \u003cem\u003eAnabaena\u003c/em\u003e sp. and \u003cem\u003eNostoc\u003c/em\u003e sp. are N\u003csub\u003e2\u003c/sub\u003e fixing and they have been used as co-inoculants with \u003cem\u003eAzospirilum brasilense\u003c/em\u003e in maize (Gavilanes et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) and a mix of \u003cem\u003eRhizobium tropici\u003c/em\u003e, \u003cem\u003eR. freirei\u003c/em\u003e plus \u003cem\u003eA. brasilense\u003c/em\u003e in common bean (Hor\u0026aacute;cio et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). However, other cyanobacteria do not fix N, but they may contribute to crop growth with similar mechanisms of the most commonly known plant growth promoting bacteria (Singh et al. \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Gavilanes et al. \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn our study, two species of cyanobacteria were chosen based on previous work by our group that used those in a field experiment using groundnut (Andrade et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2014b\u003c/span\u003e). The first, \u003cem\u003eArthrospira\u003c/em\u003e (\u003cem\u003eSpirulina\u003c/em\u003e) platensis, is a filamentous Gram-negative cyanobacterium that grows on photoautotrophy condition and does not fix N. When inoculated in \u003cem\u003ePhaseolus aureus\u003c/em\u003e and \u003cem\u003eP. mungo\u003c/em\u003e (Bhowmik et al. \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2010\u003c/span\u003e), or applied as biofertilizer in \u003cem\u003eBegonia semperflorens\u003c/em\u003e (Jowkar et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2017\u003c/span\u003e), rice (\u003cem\u003eOryza sativa\u003c/em\u003e) (Dineshkumar et al. \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2018\u003c/span\u003e), radish (\u003cem\u003eRaphanus sativus\u003c/em\u003e) (Godlewska et al. \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), tomato (\u003cem\u003eSolanum lycopersicum\u003c/em\u003e) (Supraja et al. \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e2020b\u003c/span\u003e), and groundnut (Sivalingam \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), it increased seed germination and plant growth. The second one, \u003cem\u003eSynechocystis\u003c/em\u003e sp. is also a unicellular non-nitrogen fixing cyanobacterium that primarily inhabits water environments and soil, which has been characterized for the elevated production of phytohormones when inoculated in the rhizosphere of wheat (\u003cem\u003eTriticum aestivum\u003c/em\u003e) (Khurshid et al. \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2017\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAiming to confirm if microbial inoculants may improve groundnut performance due to its beneficial effects, we carried out four field experiments in different soil and climate conditions to compare single inoculation with \u003cem\u003eBradyrhizobium\u003c/em\u003e sp., double inoculation with cyanobacteria and N-fertilizer on groundnut growth and grain yield.\u003c/p\u003e"},{"header":"Material And Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eMicrobial strains\u003c/h2\u003e \u003cp\u003e \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. strain (SEMIA6144\u0026thinsp;=\u0026thinsp;SM400, =USDA3187, MAR11) that is used in commercial inoculants in Brazil was provided by the Microbiological Resource Center, Porto Alegre, Brazil (FEPAGRO). The cyanobacteria were obtained from the Microalgae IPR Collection of the Instituto de Desenvolvimento Rural do Paran\u0026aacute; - IAPAR-EMATER (IDR-Paran\u0026aacute;). \u003cem\u003eArthrospira\u003c/em\u003e (\u003cem\u003eSpirulina\u003c/em\u003e) \u003cem\u003eplatensis\u003c/em\u003e (IPR7059) was kindly provided by Dr Iracema de Oliveira Moraes (Funda\u0026ccedil;\u0026atilde;o Andre Tosello, Brazil) and \u003cem\u003eSynechocystis\u003c/em\u003e sp. (IPR7061) was isolated from freshwater in Paran\u0026aacute; state, Brazil (Andrade et al. 2014a).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eExperimental site description and design\u003c/h2\u003e \u003cp\u003eThe experiments were performed during the summer season of 2011\u0026ndash;2012 at experimental stations of the IDR-Paran\u0026aacute; under four different edaphic-climate conditions (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e and Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e), using two sandy soils (Paranavai and Umuarama), a sand-clay-loamy soil (Ponta Grossa) and a clayey soil (Londrina), which are classified as Paleudult (Ultisol udic), Rhodic Haploperox (Oxisol perudic) and Rhodudults (Ultisol udic), respectively (Soil Survey Staff \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Rainfall and temperature during the crop growing season at each experimental site are presented in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ea-d.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSoil physico-chemical properties of soils of the experimental fields and most probable number (MPN) groundnut-nodulating of rhizobia (cells g of dry soil\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e). Field experiment geographical location. Soil sampling done before sowing at top layer of 0 to 0.10 m. Values are on an oven-dried soil mass basis\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSoil/climate features\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eParanava\u0026iacute;\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eUmuarama\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePonta Grossa\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eLondrina\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSand (g kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e880\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e850\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e160\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e230\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSilt (g kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e160\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e190\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eClay (g kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e130\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e680\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e580\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003epH (CaCl\u003csub\u003e2\u003c/sub\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eP (mg dm\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e22.20\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eC (g dm\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5.37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.78\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e16.51\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eN (g dm\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAl (cmol\u003csub\u003ec\u003c/sub\u003edm\u003csup\u003e\u0026minus;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0,13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eH\u0026thinsp;+\u0026thinsp;Al (cmol\u003csub\u003ec\u003c/sub\u003edm\u003csup\u003e\u0026minus;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.68\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.68\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.97\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCa (cmol\u003csub\u003ec\u003c/sub\u003edm\u003csup\u003e\u0026minus;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.77\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.67\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4.80\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMg (cmol\u003csub\u003ec\u003c/sub\u003edm\u003csup\u003e\u0026minus;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.96\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eK (cmol\u003csub\u003ec\u003c/sub\u003edm\u003csup\u003e\u0026minus;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0,12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eS (cmol\u003csub\u003ec\u003c/sub\u003edm\u003csup\u003e\u0026minus;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7.60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e8.30\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eT (cmol\u003csub\u003ec\u003c/sub\u003edm\u003csup\u003e\u0026minus;3\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5.43\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.58\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e14.28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e12.27\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eV (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e32.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e39.66\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e53.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e67.64\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAl (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMPN Cells x10\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.57\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e7.23\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eGeographical information\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLatitude\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e23\u0026ordm;04' S\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eS 23\u0026ordm; 38' 51.8''\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eS 25\u0026ordm; 05' 58''\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e23\u0026deg; 18' 37'' S\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLongitude\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e52\u0026ordm; 27' 56'' W\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eW 52\u0026ordm; 42' 33.9''\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eW 50\u0026ordm; 09' 30''\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e51\u0026ordm; 0.9' 46'' W\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eElevation (m)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e446\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e543\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e880\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e582\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eK\u0026ouml;ppen climate classification\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eCfa\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cem\u003eCfa\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003eCfb\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003eCfa\u003c/em\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eSoil chemical analyses were performed according to Pavan et al. (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e1992\u003c/span\u003e) and soil total N content was calculated (Andrade et al. \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) by using the Eq.\u0026nbsp;\u003cspan refid=\"Equ1\" class=\"InternalRef\"\u003e1\u003c/span\u003e:\u003cdiv id=\"Equ1\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ1\" name=\"EquationSource\"\u003e\n$$N=C(1.724/)$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e1\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003ewhere: N is soil total nitrogen and C is soil total carbon.\u003c/p\u003e \u003cp\u003eThe most probable number (MPN) counts of fresh soil samples were obtained with the procedures described by Andrade and Hamakawa (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e1994\u003c/span\u003e), slightly modified by using groundnut surface disinfected seeds pre-germinated into moist paper at 28\u0026thinsp;\u0026plusmn;\u0026thinsp;2 \u003csup\u003eo\u003c/sup\u003eC for 30 h before planting in sterilized \u0026ldquo;Leonard jars\u0026rdquo; containing sterilized sand and vermiculite (3:1) and nutrient solution without N. Data from soil chemical and MPN analyses are shown in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003eBefore groundnut sowing, soil was fertilized with 300 kg ha\u003csup\u003e-1\u003c/sup\u003e of fertilizer 0-20-20, applied in the sowing furrows. The treatment of N-fertilizer received 100 kg ha\u003csup\u003e-1\u003c/sup\u003e of N (urea source), split in two applications: 20 kg ha\u003csup\u003e-1\u003c/sup\u003e of N applied in the furrow at sowing and 80 kg ha\u003csup\u003e-1\u003c/sup\u003e of N top-dressed on the soil surface at 25\u0026ndash;30 days after emergence.\u003c/p\u003e \u003cp\u003eThe experiments consisted of seven treatments, and in all inoculation treatments the application was on seeds at sowing. The treatments were: \u003cem\u003ei)\u003c/em\u003e control without inoculation, without N-fertilization; \u003cem\u003eii)\u003c/em\u003e N-fertilization with 100 kg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of N; \u003cem\u003eiii)\u003c/em\u003e Inoculation with \u003cem\u003eB. japonicum\u003c/em\u003e strain SEMIA6144 (peat); \u003cem\u003eiv)\u003c/em\u003e Inoculation with \u003cem\u003eB. japonicum\u003c/em\u003e SEMIA6144 (fine shale); \u003cem\u003ev)\u003c/em\u003e Inoculation with \u003cem\u003eA. platensis\u003c/em\u003e IPR7059 (fine shale) and; \u003cem\u003evi)\u003c/em\u003e Co-inoculation with \u003cem\u003eB. japonicum\u003c/em\u003e SEMIA6144 and \u003cem\u003eA. platensis\u003c/em\u003e IPR7059 (fine shale); \u003cem\u003evii)\u003c/em\u003e Inoculation with \u003cem\u003eSynechocystis\u003c/em\u003e sp. IPR7061 (fine shale) viii) Co-inoculation \u003cem\u003eB. japonicum\u003c/em\u003e SEMIA6144 and \u003cem\u003eSynechocystis\u003c/em\u003e sp. IPR7061 (fine shale). The treatment of inoculation of \u003cem\u003eB. japonicum\u003c/em\u003e (SEMIA6144\u0026thinsp;=\u0026thinsp;SM400, =USDA3187, MAR11) was achieved by adding inoculant either in peat or fine shale (plus 1% of carboxymethylcellulose and polyvinylpyrrolidone) as solid carrier, at concentration of 10\u003csup\u003e9\u003c/sup\u003e viable cells g\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. For the inoculation, the seeds were moistened with sterile water at 10% sugar and applied at the rate of 500 g inoculant to 50 kg of seeds. For cyanobacteria inoculation, it was used a suspension of cells with approximately 10\u003csup\u003e6\u003c/sup\u003e cells mL\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e at rate of 12 mL kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of seeds. Each one of cyanobacteria, \u003cem\u003eA. platensis\u003c/em\u003e IPR7059 or \u003cem\u003eSynechocystis\u003c/em\u003e sp. IPR7061, which was grown in N-free culture BG11medium (Rippka et al. \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e1979\u003c/span\u003e), for 30 days using 12 h of light phase (temperature of 28.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u0026deg;C) and dark phase (22.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0\u0026deg;C). For the controls with and without N mineral the procedure was the same, but without inoculants. After inoculation of the seeds with their respective treatments, sowing took place manually, in-furrows made by disking, using an average of 60 kg seeds ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. Trifluralin was applied after planting at a dose of 3.5 L ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. The experiments were arranged under randomized complete blocks with five replications. Each plot had an area of 4.0 m x 6.0 m (24 m\u003csup\u003e2\u003c/sup\u003e), consisting of eight furrows with 6 m length and 0.5 spacing.\u003c/p\u003e \u003cdiv id=\"Sec5\" class=\"Section3\"\u003e \u003ch2\u003eSamplings\u003c/h2\u003e \u003cp\u003eAt the late flowering (R2 stage), 8\u0026ndash;12 plants from each plot were uprooted in the second and seventh rows, to assess nodulation (number and mass of dry matter of nodules), shoot dry matter and N content. The nodules were removed under running tap water and kept in the freezer (-18\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg;C) until assessments according to procedures described by Cardoso et al. (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). Nodules and plant dry weight were measured after drying the samples at 60\u0026deg;C for 72 h. For grain yield, the plants were harvested on the four central lines (8 m\u003csup\u003e2\u003c/sup\u003e) and the results were expressed in kg ha\u003csup\u003e-1\u003c/sup\u003e with moisture corrected to 8%.\u003c/p\u003e \u003cp\u003eGrain was analyzed for N content by the Kjeldahl digestion method (Bremner and Keeney \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e1966\u003c/span\u003e) and, crude protein content was calculated by multiplying N content (%) by a factor of 6.25. The shelling (%) was calculated from the seed weight per plants related to pod weight by multiply per 100.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eThe data were analyzed for normal distribution and homogeneity of variance, and log-transformed when necessary. Data were analyzed by one-way analysis of variance according to the procedures outlined by Snedecor and Cochran (\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e1980\u003c/span\u003e), and the means were compared by Scott-Knott test at 0.05 probability level.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results And Discussion","content":"\u003cp\u003eLiterature has pointed out that groundnut is a very promiscuous microsymbiont as this crop establishes symbiosis with both native and introduced rhizobia at the same proportions (Torres-J\u0026uacute;nior et al. \u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e; Li et al. \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e; Mu\u0026ntilde;oz et al. \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e; Bouznif et al. \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eExcepting Paranava\u0026iacute; (Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e), there were no effects of inoculation treatments and N-fertilizer on nodule mass and numbers in relation to control (Tables \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e\u0026ndash;\u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e), indicating that the native bradyrhizobia were highly competitive to induce nodule formation in groundnut. Similar results were also obtained elsewhere in Brazil (Santos et al. \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e), Argentina (Castro et al. \u003cspan class=\"CitationRef\"\u003e1999\u003c/span\u003e; Bogino et al. \u003cspan class=\"CitationRef\"\u003e2006\u003c/span\u003e), the USA (Lanier et al. \u003cspan class=\"CitationRef\"\u003e2005\u003c/span\u003e), and Ghana (Asante et al. \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). Probably due to promiscuity nature of groundnut and the competitiveness of native rhizobial strains (Bouznif et al. \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e), only few very effective strains stand out for N\u003csub\u003e2\u003c/sub\u003e fixation rates and plant-growth promotion of groundnut (Bogino et al. \u003cspan class=\"CitationRef\"\u003e2006\u003c/span\u003e; Torres-J\u0026uacute;nior et al. \u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e; Jovino et al. \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tab2\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eRoots dry weight (RDW) in 0\u0026ndash;10 cm, shoot dry weight (SDW), concentration of N in shoot (g kg\u003csup\u003e\u0026minus;\u0026thinsp;1)\u003c/sup\u003e, N uptake (mg N plant\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), nodulation (number and dry weight of nodules per plant), shell and shelling, concentration of N (g kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), N uptake (kg N ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) and crude protein in grains, grain production (kg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) and yield increase (%) of groundnut (cv. IAC Tatu-ST) inoculated with \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. (SEMIA6144). \u003cem\u003eArthrospira platensis\u003c/em\u003e (IPR7059) and \u003cem\u003eSynechocystis\u003c/em\u003e sp. (IPR7061). Cropping seasons 2011/2012 \u0026ndash; Paranava\u0026iacute;, PR. Values are means of five repetitions\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eTreatments\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRDW\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSDW\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN shoot\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN uptake\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNodule\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNodule\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eShell\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eShelling\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN grain\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eProtein\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN grain\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ee\u003c/sup\u003eYield\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ef\u003c/sup\u003eIncrease\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003emg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN\u0026ordm; pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003emg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ekg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e(%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ekg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ekg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eControl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.64a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.22b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.17b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e678b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e179.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e96.13a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e801\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e51.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e96a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1845a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ea\u003c/sup\u003eN-mineral\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.02a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.95b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.60a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e827a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e145.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e65.30b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e851\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e54.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e98a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1743a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-5.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003eb\u003c/sup\u003e6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.67a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.53b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.09a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e812a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e123.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e91.35a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e52.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e98a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1837a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ec\u003c/sup\u003e6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.13a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23.17b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.26b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e658b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e148.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e80.76a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e999\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e52.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1794a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ed\u003c/sup\u003e7059\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.41a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.47b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.66b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e644b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e113.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e65.38b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e978\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e54.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e101a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1812a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-1.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ec\u003c/sup\u003e7059+6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.21a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.37a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27.71b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e890a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e105.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e69.15b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e820\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e53.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e83b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1482b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-19.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ed\u003c/sup\u003e7061\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.32a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.37b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.26a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e812a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e149.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e86.63a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e915\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e52.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e103a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1877a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ec\u003c/sup\u003e7061+6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.34a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.93b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.31a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e753a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e100.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e57.33b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e963\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e52.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e106a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2016a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eF value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.77*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.91*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.37 *\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.24*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.43ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.14*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.48ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.44ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.60ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.59ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.39*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.54*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCV (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e23.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"14\"\u003ens\u0026thinsp;=\u0026thinsp;not significant (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026gt;\u0026thinsp;0.05); *Significant at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05; **significant at p\u0026thinsp;\u0026lt;\u0026thinsp;0.01. Means followed by the same letter, within each column, are not different by Scott-Knott test, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.05\u003c/em\u003e. \u003csup\u003ea\u003c/sup\u003eUrea (100 kg N ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e); \u003csup\u003eb\u003c/sup\u003ePeat. \u003csup\u003ec\u003c/sup\u003eFine shale used as carrier of microbial inoculants. \u003csup\u003ed\u003c/sup\u003eCell suspension. \u003csup\u003ee\u003c/sup\u003eGrain corrected to 8% moisture. \u003csup\u003ef\u003c/sup\u003eGrain yield increase in relation to control treatment\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tab3\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eRoots dry weight (RDW) using 0\u0026ndash;10 cm, shoot dry weight (SDW), concentration of N in shoot (g kg\u003csup\u003e\u0026minus;\u0026thinsp;1)\u003c/sup\u003e, N uptake (mg N plant\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), nodulation (number and dry weight of nodules per plant), shell and shelling, concentration of N (g kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), N uptake (kg N ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) and crude protein (%) in grains, grain production (kg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) and yield increase (%) of groundnut (cv. IAC Tatu-ST) inoculated with \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. (SEMIA6144), \u003cem\u003eArthrospira platensis\u003c/em\u003e (IPR7059) and \u003cem\u003eSynechocystis\u003c/em\u003e sp. (IPR7061). Cropping seasons 2011/2012 - Umuarama PR. Values are means of five repetitions\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eTreatments\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRDW\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSDW\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN shoot\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN uptake\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNodule\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNodule\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eShell\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eShelling\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN grain\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eProtein\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN grain\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ee\u003c/sup\u003eYield\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ef\u003c/sup\u003eIncrease\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003emg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN\u0026ordm; pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003emg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ekg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ekg N ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ekg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eControl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e454\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e99.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e116.6c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2157\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e54.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e201\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3685\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ea\u003c/sup\u003eN-mineral\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e471\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e110.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e122.0c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2124\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e54.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e217\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3970\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003eb\u003c/sup\u003e6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e442\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e48.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e93.5c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e55.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e244\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4412\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ec\u003c/sup\u003e6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e413\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e63.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e110.2c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2139\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e55.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e216\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3909\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ed\u003c/sup\u003e7059\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e17.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e513\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e97.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e124.3c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2201\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e55.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e201\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3606\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ec\u003c/sup\u003e7059+6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e545\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e169.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e216.2a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2087\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e55.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e198\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3576\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ed\u003c/sup\u003e7061\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e566\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e97.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e161.7b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2169\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e54.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e207\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3830\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ec\u003c/sup\u003e7061+6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e499\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e86.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e146.4c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1996\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e55.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e198\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3567\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-3.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eF value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.47ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.73ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.44ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.70ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.94ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.68**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.15ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.94ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.48ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.49ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.46ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.41ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCV (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e18.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e20.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"14\"\u003ens\u0026thinsp;=\u0026thinsp;not significant (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026gt;\u0026thinsp;0.05); *Significant at \u003cem\u003ep\u0026thinsp;\u0026lt;\u0026thinsp;0.05\u003c/em\u003e. Means followed by the same letter, within each column, are not different by Scott-Knott test, \u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.05\u003c/em\u003e. \u003csup\u003ea\u003c/sup\u003eUrea (100 kg N ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e); \u003csup\u003eb\u003c/sup\u003ePeat or \u003csup\u003ec\u003c/sup\u003eFine shale used as carrier of microbial inoculants. \u003csup\u003ed\u003c/sup\u003eCell suspension. \u003csup\u003ee\u003c/sup\u003eGrain corrected to 8% moisture. \u003csup\u003ef\u003c/sup\u003eGrain yield increase in relation to control treatment\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/div\u003e\n\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cbr\u003e\u003c/div\u003e\n\u003ctable border=\"1\" id=\"Tab4\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eTreatments\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eDRDW\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSDW\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN shoot\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN uptake\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNodule\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNodule\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eShell\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eShelling\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN grain\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eProtein\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN grain\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ee\u003c/sup\u003eYield\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ef\u003c/sup\u003eIncrease\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eRoots dry mass (RDW) using 0\u0026ndash;10 cm, shoot dry mass (SDW), concentration of N in shoot (g kg\u003csup\u003e\u0026minus;\u0026thinsp;1)\u003c/sup\u003e, N uptake (mg N plant\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), nodulation (number and dry weight (mg) of nodules per plant), shell and shelling, concentration of N in grain (g kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e), N grain (kg N ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) and crude protein (%) in grains. grain production (kg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) and yield increase (%) of groundnut (cv. IAC Tatu-ST) plants inoculated with \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. (SEMIA6144), \u003cem\u003eArthrospira platensis\u003c/em\u003e (IPR7059) and \u003cem\u003eSynechocystis\u003c/em\u003e sp. (IPR7061). Cropping seasons 2011/2012 - Londrina, PR. Values are means of five repetitions\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003emg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN\u0026ordm; pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003emg pl\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ekg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eg kg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ekg ha\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ekg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eControl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e35.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e582\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e52.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1798\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e49.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e151b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3060b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ea\u003c/sup\u003eN-mineral\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e522\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1879\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e48.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e158b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3281b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003eb\u003c/sup\u003e6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e32.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e537\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e37.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e43.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1932\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e49.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e197a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4006a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ec\u003c/sup\u003e6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e36.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e508\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e42.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e41.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1823\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e49.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e190a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3847a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ed\u003c/sup\u003e7059\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e555\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e36.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e43.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1852\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e47.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e185a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3879a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ec\u003c/sup\u003e7059+6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.80\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e505\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e41.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e42.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1848\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e49.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e189a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3800a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e24.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ed\u003c/sup\u003e7061\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e532\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e49.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e51.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1864\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e48.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e30.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e190a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3888a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27.0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003csup\u003ec\u003c/sup\u003e7061+6144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e537\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e36.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e45.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1701\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e50.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e176a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3497b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eF value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.22ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.30ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.15ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.98ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.38ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.14ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.44ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.83ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.83ns\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.89*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.82*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCV (%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e27.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e22.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e38.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e21.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"14\"\u003ens\u0026thinsp;=\u0026thinsp;not significant (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026gt;\u0026thinsp;0.05); *Significant at \u003cem\u003ep\u0026thinsp;\u0026lt;\u0026thinsp;0.05\u003c/em\u003e. Means followed by the same letter. within each column. are not different by Scott-Knott test, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05. \u003csup\u003e1\u003c/sup\u003eUrea (100 kg N ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e); \u003csup\u003ea\u003c/sup\u003eUrea (100 kg N ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e); \u003csup\u003eb\u003c/sup\u003ePeat or \u003csup\u003ec\u003c/sup\u003eFine shale used as carrier of microbial inoculants. \u003csup\u003ed\u003c/sup\u003eCell suspension. \u003csup\u003ee\u003c/sup\u003eGrain corrected to 8% moisture. \u003csup\u003ef\u003c/sup\u003eGrain yield increase in relation to control treatment\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003eCo-inoculation of rhizobia with other microorganisms has been often suggested as additive hypothesis to improve rhizobial symbiosis and N\u003csub\u003e2\u003c/sub\u003e fixation in grain legumes due to complementary mechanisms of plant growth promotion (Ahemad and Kibret \u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e; Gavilanes et al. \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). There have been some successful examples of co-inoculation of \u003cem\u003eBradyrhizobium\u003c/em\u003e with other collaborative microorganisms in groundnut, e.g. \u003cem\u003eAzospirillum brasilense\u003c/em\u003e (Geric\u0026oacute; et al. \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e), \u003cem\u003eBacillus\u003c/em\u003e spp. (Figueredo et al. \u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e; Preyanga et al. \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e; Kaschuk et al. \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), \u003cem\u003eSerratia marcescens\u003c/em\u003e, and \u003cem\u003eTrichoderma harzianum\u003c/em\u003e (Badawi et al. \u003cspan class=\"CitationRef\"\u003e2011\u003c/span\u003e). The benefits of co-inoculation may be direct on nodule formation or indirect; for example, a meta-analysis revealed that co-inoculation of bradyrhizobia and \u003cem\u003eBacillus\u003c/em\u003e spp. significantly increases root and shoot sizes of groundnut (Kaschuk et al. \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eGroundnut and common beans are, among grain legumes, the crops with the highest gap for the biological N\u003csub\u003e2\u003c/sub\u003e fixation to meet their N demands (Palmero et al. \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e), whereas crop such as soybean promptly responds to inoculation with elite strains, and they acquire sufficient N\u003csub\u003e2\u003c/sub\u003e fixation to satisfy their crop N demands (Kaschuk et al. \u003cspan class=\"CitationRef\"\u003e2016\u003c/span\u003e). Indeed, in this study, with the exception of Londrina, where the single inoculation with \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. SEMIA6144 or co-inoculation with \u003cem\u003eA. platensis\u003c/em\u003e IPR7059 or \u003cem\u003eSynechocystis\u003c/em\u003e sp. IPR7061 increased the amount of N accumulated in the grains per hectare (Table \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e), there were no effects of the treatments on the shoot N, and on the grain N and protein concentrations (Tables \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e). In contrast, other studies have shown that inoculation of groundnut with \u003cem\u003eBradyrhizobium\u003c/em\u003e were symbiotically more efficient than nodules elicited by native rhizobial strains (Ros\u0026aacute;lia et al. \u003cspan class=\"CitationRef\"\u003e2008\u003c/span\u003e; Torres-J\u0026uacute;nior et al. \u003cspan class=\"CitationRef\"\u003e2014\u003c/span\u003e; Santos et al. \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e; Jovino et al. \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eFor example, Jovino et al. (\u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e) measured the N derived from N\u003csub\u003e2\u003c/sub\u003e fixation (Ndfa%) with the \u0026delta;15N technique, and showed that groundnut inoculated with \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. SEMIA6144 (Ndfa\u0026thinsp;=\u0026thinsp;77.1%) or \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. ESA123 (Ndfa\u0026thinsp;=\u0026thinsp;75.3%) had rates of biological N\u003csub\u003e2\u003c/sub\u003e fixation as the control plants (Ndfa\u0026thinsp;=\u0026thinsp;69.3%). However, groundnut inoculated with any of the \u003cem\u003eBradyrhizobium\u003c/em\u003e strains (SEMIA6144 or ESA123) had more N accumulated in the shoots, and produced similar grain yields as the N-fertilized ones, showing that the introduction of efficient \u003cem\u003eBradyrhizobium\u003c/em\u003e strains was a limiting factor of nodule efficiency and plant growth (Jovino et al. \u003cspan class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eIn our study, except in Londrina, where N in the crop was higher than the rest, there were no effects of single inoculation of \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. SEMIA6144, co-inoculation with \u003cem\u003eA. platensis\u003c/em\u003e IPR7059 or \u003cem\u003eSynechocystis\u003c/em\u003e sp. IPR7061, and N-fertilizer, on shoot and root dry weights (Tables\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e), indicating that N\u003csub\u003e2\u003c/sub\u003e fixation and grain yield in three out of four locations were not limited by rhizobial inoculation.\u003c/p\u003e\n\u003cp\u003eIn addition, the cyanobacteria IPR7059 and IPR7061 were chosen to be co-inoculated with \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. SEMIA6144 because their genera have been related to plant growth in other crops (Bhowmik et al. \u003cspan class=\"CitationRef\"\u003e2010\u003c/span\u003e; Khurshid et al. \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e; Sivalingam \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e; Supraja et al. \u003cspan class=\"CitationRef\"\u003e2020a\u003c/span\u003e). Despite initial evidences of plant growth stimulation in other crops, there were only significant effects on nodule mass in Umuarama due to co-inoculation of strain SEMIA6144 with \u003cem\u003eArthrospira platensis\u003c/em\u003e IPR 7059 (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e), and higher (but not significant) grain yield in Paranava\u0026iacute; due to co-inoculation with IPR7061 (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e). Such as rhizobia inoculation, it could be that the stimulus from cyanobacteria \u003cem\u003eArthrospira platensis\u003c/em\u003e IPR7059 or \u003cem\u003eSynechocystis\u003c/em\u003e sp. IPR7060 or any other plant-growth promoting microorganism was not the factor limiting plant growth and grain yield of groundnut.\u003c/p\u003e\n\u003cp\u003eAccording to Liebig\u0026apos;s law of the minimum, the crop yield is limited by the lack of one or more factors that are provided in lesser quantity. Usually, the N is one of the most limiting factors for grain legume crops. However, under the conditions of our experiments, nodulation and biological N\u003csub\u003e2\u003c/sub\u003e fixation were not the limiting factor for groundnut yield. Moreover, an interesting point was that indicators of plant growth (root and shoot dry weights, N contents in shoot and grains, shells and shelling, grain yield) hardly changed because of the inoculation treatments (Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e), but their averages varied among different locations. In fact, several studies have indicated that the performance of rhizobia symbiosis in groundnut is influenced by cultivars, rhizobial strains, soil physical and chemical attributes, land use history and agrometeorological conditions (e.g. Lanier et al. \u003cspan class=\"CitationRef\"\u003e2005\u003c/span\u003e, Bogino et al. \u003cspan class=\"CitationRef\"\u003e2006\u003c/span\u003e, Santos et al. 2008, Torres-Junior et al. 2014, Santos et al. \u003cspan class=\"CitationRef\"\u003e2017\u003c/span\u003e, Asante et al. \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003eConsidering the different locations, the average grain yield in Umuarama and Londrina (respectively, 3819 and 3657 kg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, Tables \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e and \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e) were comparable to the average yields of the most productive countries (for example, Argentina, with 3455 kg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e in 2019; FAO 2021) and also Brazil ((Moda-Cirino et al. \u003cspan class=\"CitationRef\"\u003e2015\u003c/span\u003e), whereas the yield of groundnut in Paranava\u0026iacute; and Ponta Grossa were much lower (respectively, 1852 and 1328 kg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, Tables \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e and \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e), comparable to lesser productive areas in the world, which includes the national average of Brazil itself (FAO 2021). We could ascribe the lower grain productivity to the lower amount of rain in the phases that the plant needs water for development in these two experiments (Paranavai and Ponta Grossa) than in Londrina and Umuarama. We suggest that the lower grain yields in these two experiments (Paranavai and Ponta Grossa) than in Londirna and Umuarama was due to less rainfall (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003ea-d). Also, the lower soil P content in Paranavai and Ponta Grossa should be highlighted as a possible cause, since it is an important factor for symbiosis (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). Also, analyzing the soil chemical characteristics of the field experiments, it was possible to notice that what the two locations with higher grain yields (Umuarama and Londrina) had in common was the higher availability of soil phosphorus in comparison with that of Paranava\u0026iacute; and Ponta Grossa (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). These facts evidence that soil P availability may be limiting groundnut in our experiments. Indeed, the influence of phosphorus fertilization (and liming) on groundnut yields has already been demonstrated many times (Asante et al. \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e) using strains USDA3456 and BR3267 (Naabe et al. \u003cspan class=\"CitationRef\"\u003e2021b\u003c/span\u003e) strain BR3267.\u003c/p\u003e\n\u003cp\u003eIn Ghana, nodulation and groundnut yield varied in function of soil P fertilization, the cultivar and the \u003cem\u003eBradyrhizobium\u003c/em\u003e strain used in inoculation, but the combination of 30 kg P ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e with inoculation with \u003cem\u003eBradyrhizobium\u003c/em\u003e BR3267 increased groundnut yield by 64 and 68% respectively, in relation to the non-N-fertilized and non-inoculated treatments (Asante et al. \u003cspan class=\"CitationRef\"\u003e2020\u003c/span\u003e). Similar results were obtained by Naabe et al. (\u003cspan class=\"CitationRef\"\u003e2021a\u003c/span\u003e) utilizing \u003cem\u003eBradyrhizobium\u003c/em\u003e USDA110 to groundnut.\u003c/p\u003e\n\u003cp\u003eIn Londrina, where soil P supply was higher (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e), the inoculation of \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. SEMIA6144 increased yields in relation to non-inoculated and N-fertilized treatments (Table \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e). This result suggests that P limitation is a possible explanation for the little effects of rhizobial inoculation, though the experiment was not designed to confirm that hypothesis.\u003c/p\u003e\n\u003cp\u003eTherefore, on one hand, we conclude based on the results from the four field experiments that co-inoculation of \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. SEMIA6144 with cyanobacteria \u003cem\u003eA. platensis\u003c/em\u003e IPR7059 or \u003cem\u003eSynechocystis\u003c/em\u003e sp. IPR7061 does not overcome the limitations for increasing nodulation, N\u003csub\u003e2\u003c/sub\u003e fixation and grain yields of groundnut under Paran\u0026aacute; State conditions. On the other hand, the analysis of the results indicated that success of rhizobia inoculated groundnut is clearly dependent on the soil chemical attributes of the soil, probably due to P limitation, and weather conditions. Following that, studies of rhizobia inoculation should include P fertilization and consortia with microorganisms that increase the availability of P (Taurian et al. \u003cspan class=\"CitationRef\"\u003e2013\u003c/span\u003e). Most importantly, the similar results between microbial and N-fertilizer treatments show that the paradigm of increasing doses of N steadily increase grain yields should be revisited, particularly with the new technological advances obtained in the field of agricultural microbiology (Santos et al. \u003cspan class=\"CitationRef\"\u003e2019\u003c/span\u003e; Bomfim et al. \u003cspan class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eDeclaration of Competing Interest:\u0026nbsp;\u003c/strong\u003eThe authors declare that they have no known competing financial interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements:\u0026nbsp;\u003c/strong\u003eThis study was partially supported by Petrobras SIX, S\u0026atilde;o Mateus do Sul, PR \u0026ndash; Agricultural Shale Project at Instituto Agron\u0026ocirc;mico do Paran\u0026aacute; (IAPAR)\u0026nbsp;and by the\u0026nbsp;CNPq (National Council for Scientific and Technological Development, Brazil), Project INCT-CNPq (MPCPAgro 465133/2014-2).\u0026nbsp;The authors\u0026nbsp;are grateful to\u0026nbsp;Maria Aparecida de Matos, Orazilia Dorigo; Paulo Sergio Aguilar and Alisson W. Sanzovo for helping with the field experiments and analytical analyses.\u0026nbsp;M Hungria and DS Andrade acknowledge research fellow from CNPq.\u0026nbsp;\u003cbr\u003e\u0026nbsp;\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAhemad, M, Kibret, M. (2014). Mechanisms and applications of plant growth promoting rhizobacteria: Current perspective. J King Saud Univ Sci \u003cstrong\u003e26\u003c/strong\u003e: 1-20. https://doi.org/10.1016/j.jksus.2013.05.001.\u003c/li\u003e\n \u003cli\u003eAndrade, DS, Colozzi Filho, A, Gatti, I (Eds.), 2014a. Microalgas de \u0026aacute;guas continentais: Cole\u0026ccedil;\u0026atilde;o IPR de microalgas. IAPAR, Londrina.\u003c/li\u003e\n \u003cli\u003eAndrade, DS, Hamakawa, PJ, 1994. Estimativa do n\u0026uacute;mero de c\u0026eacute;lulas vi\u0026aacute;veis de riz\u0026oacute;bio no solo e em inoculantes por infec\u0026ccedil;\u0026atilde;o em plantas. In: Hungria, M., Araujo, R. 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Symbiosis \u003cstrong\u003e59\u003c/strong\u003e: 77-85. https://doi.org/10.1007/s13199-012-0193-z.\u003c/li\u003e\n \u003cli\u003eTorres-J\u0026uacute;nior, CV, Leite, J, Santos, CRS, Fernandes Junior, PI, Zilli, JE, Rumjanek, NG, Xavier, GR. (2014). Diversity and symbiotic performance of peanut rhizobia from Southeast region of Brazil. Afr J Microbiol Res \u003cstrong\u003e8\u0026nbsp;\u003c/strong\u003e566-577.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Arachis hypogaea, Arthrospira platensis, field-experiments, grain protein, peanut, Synechocystis sp","lastPublishedDoi":"10.21203/rs.3.rs-2401588/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2401588/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eGroundnut can obtain N from the N\u003csub\u003e2\u003c/sub\u003e fixation in the symbiosis with rhizobia and inoculation with selected strains can improve grain yields. We report the results from four field experiments, aiming to verify if microbial inoculants may improve groundnut performance, through the effects of single inoculation with \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. (SEMIA6144), of co-inoculation \u003cem\u003eArthrospira platensis\u003c/em\u003e IPR7059 or \u003cem\u003eSynechocystis\u003c/em\u003e sp. IPR7061, and of the N fertilization with 100 kg ha\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of N on plant growth, nodulation, N accumulated in tissues, grain protein, and grain yield. There were no effects of inoculation treatments and N-fertilizer on shoot and root dry weights. In clayey soil, co-inoculation with \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. and cyanobacteria increased grain productivity by an average of 19% compared to the non-inoculated control. In this clayey soil with higher P content, regardless of whether co-inoculated with \u003cem\u003eBradyrhizobium\u003c/em\u003e sp. and cyanobacteria or single inoculated, grain productivity was 16% higher on average compared to nitrogen fertilizer. In conclusion, it was clear that success of rhizobia inoculation in groundnut is dependent on the soil, probably due to P limitation, and weather conditions.\u003c/p\u003e","manuscriptTitle":"Groundnut grain yield responses to inoculation with Bradyrhizobium sp. and cyanobacteria","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-01-03 14:22:11","doi":"10.21203/rs.3.rs-2401588/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"e398a98a-3c8b-4615-8c1c-6ddb75f7219b","owner":[],"postedDate":"January 3rd, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2023-01-03T14:22:13+00:00","versionOfRecord":[],"versionCreatedAt":"2023-01-03 14:22:11","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-2401588","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-2401588","identity":"rs-2401588","version":["v1"]},"buildId":"-HB7Z8yhvgn0wM9Nzuekk","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}