Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Elevated CO2 and warming change the nutrient status and use efficiency of Panicum maximum Jacq

  • Juliana Mariano Carvalho ,

    Contributed equally to this work with: Juliana Mariano Carvalho, Rafael Ferreira Barreto

    Roles Conceptualization, Formal analysis, Investigation, Methodology

    Affiliation Department of Soils and Fertilizers, São Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, São Paulo, Jaboticabal, Brazil

  • Rafael Ferreira Barreto ,

    Contributed equally to this work with: Juliana Mariano Carvalho, Rafael Ferreira Barreto

    Roles Formal analysis, Writing – original draft, Writing – review & editing

    rafael.fb@outlook.com

    Affiliation Department of Soils and Fertilizers, São Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, São Paulo, Jaboticabal, Brazil

  • Renato de Mello Prado,

    Roles Conceptualization, Funding acquisition, Supervision, Writing – original draft

    Affiliation Department of Soils and Fertilizers, São Paulo State University (UNESP), School of Agricultural and Veterinarian Sciences, São Paulo, Jaboticabal, Brazil

  • Eduardo Habermann,

    Roles Data curation, Investigation, Methodology, Software, Writing – review & editing

    Affiliation Department of Biology, FFCLRP, São Paulo University (USP), São Paulo, Ribeirão Preto, Brazil

  • Roberto Botelho Ferraz Branco,

    Roles Data curation, Investigation, Methodology

    Affiliation São Paulo Agribusiness Technology Agency (APTA), Ribeirão Preto, São Paulo, Brazil

  • Carlos Alberto Martinez

    Roles Conceptualization, Data curation, Investigation, Methodology, Supervision, Writing – review & editing

    Affiliation Department of Biology, FFCLRP, São Paulo University (USP), São Paulo, Ribeirão Preto, Brazil

Abstract

Panicum maximum Jacq. ‘Mombaça’ (Guinea grass) is a C4 forage grass widely used in tropical pastures for cattle feeding. In this study, we evaluated the isolated and combined effects of warming and elevated CO2 concentration [CO2] during summer on nutrient content, nutrient accumulation, nutrient use efficiency and growth of P. maximum under field conditions. Field temperature and [CO2] were controlled by temperature free-air controlled enhancement and free-air CO2 enrichment systems, respectively. We tested two levels of canopy temperature: ambient temperature (aT) and 2°C above ambient temperature (eT), as well as two levels of atmospheric [CO2]: ambient [CO2] (aCO2) and 200 ppm above ambient CO2 (eCO2). The experiment was established in a completely randomized design with four replications, in a 2×2 factorial scheme. After pasture establishment, plants were exposed to the treatments during 30 days, with evaluations at 9, 16, 23 and 30 days after the treatments started. Results were dependent on the time of the evaluation, but in the last evaluation (beginning of the grazing), contents of N, K, Mg and S did not change as a function of treatments. However, P decreased as a function of warming under both levels of [CO2], and Ca increased under [eCO2] combined with warming. There was an increase in root dry mass under warming treatment. Combined treatment increased N, Ca and S accumulation without a corresponding increase in the use efficiency of these same nutrients, indicating that the fertiliser dose should increase in the next decades due to climate change. Our short-term results in young and well fertilized pasture suggest that under the combination of [eCO2] and eT conditions, P. maximum productivity will increase and the nutritional requirement for N, Ca and S will also increase.

Introduction

During the last decades, anthropic emissions of greenhouse gases, such as carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4), have induced alterations in the natural climate cycles of the Earth, elevating the mean surface temperature of the planet [1,2]. The global temperature has been increasing in the last years, and several climate models estimate that this trend will continue in the next decades [3]. Many climate change scenarios have been proposed, depending on the future emissions of greenhouse gases and mitigation policies. According to a moderate-impact scenario outlined by the Intergovernmental Panel on Climate Change (IPCC), the atmospheric CO2 concentration ([CO2]) will reach 600 ppm by 2100, while the global surface temperature will be between 2.0 and 3.7°C above the pre-industrial average temperature [3].

In tropical and sub-tropical regions, livestock is one of the most important economic activities, and pastures cover extensive areas of the territory, being the main source for cattle feeding in most of these regions [4]. The effects of climate change on the nutritional composition of tropical forage plants deserves attention because climate change factors might alter nutrient uptake and nutrient use efficiency (NUE) by plants, affecting pasture productivity, forage quality and livestock [5].

The responses of tropical plants to elevated [CO2] are poorly understood when compared with species grown in temperate and sub-tropical regions, especially C4 species. However, some general responses may be highlighted. For example, increased [CO2] decreases transpiration rates and increases photosynthesis in many species, thereby greatly increasing water use efficiency [6]. The fact that transpiration governs the root–ion contact of N, Ca, Mg and S [7] suggests that at high [CO2], less absorption of these nutrients may occur. Accordingly, it was shown that elevated [CO2] led to decreased transpiration and less uptake of N, K, Ca, Mg and S in wheat plants, although the differences were dependent on the time of evaluation. In addition, as the amount of nutrients absorbed per unit of transpired water increased with elevated [CO2], the authors indicated that high [CO2] is not the only factor responsible for decreased nutrient uptake [8]. However, increased photosynthesis suggests that more nutrients are needed to sustain plant growth, or that NUE is increased. NUE refers to the ability of the plant to convert absorbed nutrient to dry matter [9]. In addition, high [CO2] may increase root development and modify the root foraging strategies in order to obtain more resources and sustain higher plant growth [10]. However, an increment of atmospheric [CO2] will be followed by an increase in temperature [3].

C4 species are adapted to warm, as well as arid environments. Experiments suggest that Panicum maximum (Guinea grass) would benefit by a 2°C warming under well-watered conditions by exhibiting increased dry mass [11] and not showing increased concentration of stress indicators compounds, such as malondialdehyde and hydrogen peroxide [12]. However, under heating, there was no increase in photosynthesis and transpiration [6,13], suggesting that under a warmed atmosphere, P. maximum may exhibit increased NUE. It was also observed that under heating, P. maximum exhibited an increase in the concentration of many amino acids, such as valine, threonine and phenylalanine, which have N in their structure [14]. In addition, warming may stimulate nutrient uptake through increased root system growth, increased nutrient diffusion rates and water in-flow [15] but at the same time, gain in dry mass on heating may result in a leaf N dilution effect in P. maximum [11]. The same authors observed that the gain in leaf dry mass remains under conditions of combined warming and elevated [CO2], but leaf N content increases, suggesting that combined warming with elevated [CO2] results in lower N use efficiency. For other macronutrients, no published studies have evaluated the mineral composition and NUE of P. maximum under combined effects of elevated [CO2] and warming.

Therefore, we exposed a field-grown pasture of guinea grass to elevated [CO2] and warming using a combination of temperature free-air controlled enhancement (T-FACE) and free-air CO2 enrichment (FACE) systems in order to understand the nutrient dynamics under a short-term experiment. We hypothesized that: i) elevated [CO2] will decrease nutrient content but increase nutrient accumulation and NUE, ii) warming will increase nutrient content and nutrient accumulation but decrease NUE, mainly due to the possible increase in biomass production, and iii) warming and elevated [CO2] treatment will have no difference relative to warming alone, but that nutrient content and accumulation will increase, and NUE will decrease.

Material and methods

Study site and system

The study was carried out at the Trop-T-FACE facility, located at the University of São Paulo (USP), Campus of Ribeirão Preto (São Paulo, Brazil), at 21°10'8'' S and 47°51'48.2'' W and 580 m altitude. The Trop-T-facility is composed of the T-FACE and the FACE systems. According to Thornthwaite [16], the climate at the facility is classified as B2rB'4a', with a moist mesothermal, while soil was classified as dystrophic red Latosol [17].

Two months before sowing, we collected 10 soil samples (20 cm deep) from the experimental area and analyzed it for fertility: pH in CaCl2 (0.01 mol L-1); organic matter (OM) by the Walkley-Black method; P available by spectrophotometry after anion-exchange resin extraction; potassium (K), calcium (Ca), and magnesium (Mg) by ion-exchange resin extraction; H Al with buffered calcium acetate at pH 7.0 and volumetrically determined with NaOH solution in the presence of phenolphthalein as indicator and micronutrients were extracted by chelating solution (DTPA). The determination was made by atomic absorption spectrophotometry [18], obtaining the following results (Table 1).

thumbnail
Table 1. Soil chemical analysis (0 to 20 cm depth) at Trop-T-FACE facility.

https://doi.org/10.1371/journal.pone.0223937.t001

Soil preparation consisted of the soil rotation and the application of calcined limestone (48% CaO and 16% MgO) to correct for soil acidity (increasing soil pH to 5.5), using a cultivator 2 months before seeding. Soil fertilization was conducted [19] through the mechanical incorporation of the fertilizers to 0.10 m depth, in sowing eve. The following doses and sources were used: 70 kg ha-1 P2O5 via simple superphosphate (18% P2O5), 60 kg ha-1 K2O via potassium chloride (60% K2O) and 2 kg ha-1 Zn via zinc sulphate (22% Zn). At 30 days after plant emergence, 40 kg ha-1 N was applied via urea (45% N). During the experimental period, the accumulated rainfall was 224 mm, and the average temperature was 25°C, with minimum and maximum of 16 and 35°C, respectively, while the average air relative humidity was 87% [6].

Description of treatments and planting method

We tested two canopy temperatures: ambient temperature (aT) and 2°C above ambient temperature (eT) and two atmospheric [CO2]: ambient [CO2] (aCO2) and 200 ppm above aCO2 (eCO2). The experiment was set up in a completely randomized design, with four replications in a 2×2 factorial scheme. Treatment combinations were designated as follows: aTaCO2 (ambient temperature and ambient [CO2]), eTaCO2 (elevated temperature and ambient [CO2]), aTeCO2 (ambient temperature and elevated [CO2]) and eTeCO2 (elevated temperature and elevated [CO2]). In September 22, 2015, seeds of P. maximum cv. Mombaça were sown manually in 16 plots (10 m × 10 m), with a final planting density of 16 plant m-2 [20]. During seedling growth, supplemental irrigation was performed when necessary. After the pasture establishment, when plants reached 90 cm in height, a standardization cut was performed at 30 cm above the ground, as part of the post-grazing management. Then, plants were exposed to the treatments for 30 days. In rotational grazing practices, 30 days is the normal plant re-growth time that is often used for this species [21]. Studies indicated that the maximum browsing efficacy of P. maximum cv. Mombaça and the highest leaf dry mass production are achieved with 30 cm post-grazing pasture height and 90 cm pre-grazing targets, respectively [22]. In tropical zones, guinea grass is often cultivated under rain-fed conditions, so we decided not to irrigate the plants after the pasture establishment.

Treatments were applied inside circular plots consisting of a 2-m-diameter ring (equivalent to 3.14 m2), placed in each 10 m × 10 m plot. We used a safety distance of 12 m between experimental plots to avoid CO2 cross-contamination.

Trop-T-FACE facility description

The eCO2 treatment was applied using a FACE system [23]. In each eCO2 and eCO2 + eT plot, a PVC ring with micro-apertures was used to fumigate pure CO2 into the plant canopy. A control unit regulated the amount of CO2 required in eCO2 and eCO2 + eT plots to increase [CO2] 200 ppm above the CO2 level in the plots with [aCO2]. The [CO2] in each plot was monitored by a portable [CO2] sensor model GTM220 (Vaisala, Finland) located in the center of each plot, at canopy height. To regulate the opening of the solenoid valves, the central control unit used a proportional integral derivative (PDI). CO2 was stored in liquid form in a 12-t cryogenic tank and vaporized before being sent to the distribution of the FACE control unit. CO2 supply to achieve high-CO2 levels was regulated through automatic electromagnetic regulators (ITV model, SMC Corporation, Japan) [23,24]. CO2 fumigation by FACE system occurred daily, from sunrise to sunset (S1 File).

The eT treatment was applied using a T-FACE system [25]. In each warmed plot, six infrared Salamander heaters (1000 W, 240 V; model FTE-1000, Mor Electric Heating, Comstock Park, MI, USA) were used to warm the plant canopy to 2ºC above the ambient canopy temperature. In each plot, we used an infrared radiometer model SI-1H1-L20 (Apogee Instruments, UT, USA) to monitor the canopy temperature. Using temperature data of warmed and non-warmed plots, the central unit of the T-FACE was calculated, and the voltage of the resistors was adjusted in each heated plot to reach the set-point. Our set-point in this experiment was 2ºC above the ambient canopy temperature (S2 File) and T-FACE warming occurred 24 hours per day.

Plant growth

At 9, 16, 23 and 30 days after treatment (DAT), plants were collected using the square method, with an area of 0.0625 m2, and cut with scissors at 0.30 m above ground. Plant material was washed in running water, neutral detergent (0.1%), HCl (0.3%) and deionized water, and then packed in paper bags and oven-dried at 60°C with forced air circulation until a constant mass was obtained.

To determine the root growth, at 30 DAT, we collected two samples per plot using a soil sampling probe (Sondaterra, Brazil) with an 11-cm internal diameter and volume of 1,900 cm3. Samples were collected at a soil depth of 0–0.20 and 0.20–0.40 m, respectively. Each sample was washed, and the roots were dried at 70°C for 72 h to determine the root dry mass.

Nutrient composition

The above-ground dry mass was milled in a Willey-type mill. N was determined from the digestion of samples in H2SO4, distillation with the Kjeldahl distiller and titration in H2SO4 solution [26]. From the digestion of the samples in HNO3 and perchloric acid solution, P was determined in a spectrophotometer from the phosphovanadomolybdic complex formed in the reaction of P with the solution of molybdovanadate, while K, Ca and Mg were determined by atomic absorption spectrophotometry, and S was measured by turbidimetric determination of the barium sulphate suspension after the addition of barium chloride [26]. We calculated the shoot nutrient accumulation (NA) based on the shoot nutrient content and the shoot dry mass: (1)

The NUE was calculated according to Siddiqi and Glass [9], expressed as dry mass squared divided by nutrient accumulation in dry mass: (2)

Statistical analysis

The data normality was checked by the Shapiro–Wilk test. We used a factorial two-way analysis of variance (ANOVA) to test the main effects of [CO2] and temperature, as well as their interaction when factors were combined. Non-significant means were compared by the F test. Means of significant interactive effects were compared using Tukey’s test (p ≤ 0.05). Analyses were performed using Sisvar software [27]. Trends between nutrient content and shoot dry mass were tested using regression analysis performed in GraphPad Prism software.

Results

Macronutrient content

Panicum maximum shoot N content was not affected by treatments, except at 16 DAT when plants grown under eT, independently of [CO2] level, showed decreased N content (Fig 1A, S3 File). Differences in P content were observed only in the last sampling (30 DAT) when plants grown under eT, regardless of [CO2], showed lower P contents (Fig 1B, S3 File). In general, plants grown under eTaCO2 had lower K content, although [eCO2] mitigated this reduction in some samplings (Fig 1C, S3 File). Differences in Ca content were observed only in the last two evaluations; at 23 DAT, warming, regardless of [CO2], resulted in higher Ca content, and at 30 DAT, there was an interaction, so the eTeCO2 treatment resulted in higher Ca content than the other treatments (Fig 1D, S3 File). Mg content increased at 9 DAT under eCO2aT treatment (Fig 1E, S3). The S content was not altered by the treatments (Fig 1F, S3 File).

thumbnail
Fig 1.

N (A), P (B), K (C), Ca (D), Mg (E) and S (F) content of P. maximum shoot during the experiment at 9, 16, 23 and 30 days after treatments (DAT). Treatments: aTaCO2 (ambient temperature and ambient [CO2]), eTaCO2 (2°C above ambient temperature and ambient [CO2]), aTeCO2 (ambient temperature and 200 ppm above ambient [CO2]), and eTeCO2 (2°C above ambient temperature and 200 ppm above ambient [CO2]). Bars show means and SE of four replicates.

https://doi.org/10.1371/journal.pone.0223937.g001

Macronutrient accumulation

At 16 DAS, [eCO2], regardless of temperature level, increased N accumulation; at 23 DAT, eT and [eCO2] alone resulted in increased N. At 30 DAT, eT, regardless of [CO2] level increased N accumulation (Fig 2A, S3 File). At 9 DAT, eT, regardless of [CO2] level, increased P accumulation, while at 23 and 30 DAT, interactions between the factors increased the P accumulation (Fig 2B, S3 File). At 16 and 23 DAT, K accumulation increased as a function of [eCO2], regardless of the temperature (Fig 2C, S3 File). At 23 and 30 DAT, Ca accumulation increased as a function of eT, regardless of [CO2] level (Fig 2D, S3 File). At 9 DAT, the interactive effect indicated an increase of Mg accumulation in the eTaCO2 treatment. At 16 DAT, plants grown under [eCO2] in both temperature conditions had higher Mg accumulation than the other plants. At 23 DAT, there was an interaction again, so that all treatments resulted in an increase of Mg accumulation relative to aTaCO2. At the last evaluation, that is, at 30 DAT, there was no effect of treatments on Mg accumulation (Fig 2E, S3 File). We observed an increase of S accumulation only at 30 DAT under eT plots, regardless of the [CO2] level (Fig 2F, S3 File).

thumbnail
Fig 2.

N (A), P (B), K (C), Ca (D), Mg (E) and S (F) accumulation of P. maximum shoot during the experiment at 9, 16, 23 and 30 days after treatments (DAT). Treatments: aTaCO2 (ambient temperature and ambient [CO2]), eTaCO2 (2°C above ambient temperature and ambient [CO2]), aTeCO2 (ambient temperature and 200 ppm above ambient [CO2]), and eTeCO2 (2°C above ambient temperature and 200 ppm above ambient [CO2]). Bars show means and SE of four replicates.

https://doi.org/10.1371/journal.pone.0223937.g002

Macronutrient use efficiency

In three of four evaluation days, eT increased the NUE of N, with [eCO2] partially mitigating this increase in the last sampling (Fig 3A, S3 File). At 23 and 30 DAT, NUE of P increased under eT, regardless of the [CO2] (Fig 3B, S3 File). We observed a noticeable tendency of increased NUE of K under eT plots, with [eCO2] amplifying this effect (Fig 3C, S3 File). NUE of Ca increased at 16 DAT under eCO2, regardless of the temperature, while at 30 DAT, there was an interaction between treatments for NUE of Ca and Mg, so that only plants grown under eT and [aCO2] had higher use efficiency of these nutrients (Fig 3D and 3E, S3 File). For NUE of S, we also observed a tendency of increase under eT, regardless of the [CO2] level (Fig 3F, S3 File).

thumbnail
Fig 3.

N (A), P (B), K (C), Ca (D), Mg (E) and S (F) use efficiency of P. maximum shoot during the experiment at 9, 16, 23 and 30 days after treatments (DAT). Treatments: aTaCO2 (ambient temperature and ambient [CO2]), eTaCO2 (2°C above ambient temperature and ambient [CO2]), aTeCO2 (ambient temperature and 200 ppm above ambient [CO2]), and eTeCO2 (2°C above ambient temperature and 200 ppm above ambient [CO2]). Bars show means and SE of four replicates.

https://doi.org/10.1371/journal.pone.0223937.g003

Linear regressions between nutrient content and shoot dry mass

N content remained stable, as dry mass increased (Fig 4A). The contents of P, K and S decreased as a function of dry mass increase (Fig 4B, 4C and 4F), suggesting that for these nutrients, there was a dilution effect. Ca and Mg contents increased with increasing shoot dry mass (Fig 4D and 4E).

thumbnail
Fig 4.

Linear regressions between N (A), P (B), K (C), Ca (D), Mg (E) and S (F) content and shoot dry mass of P. maximum. Treatments: aTaCO2 (ambient temperature and ambient [CO2]), eTaCO2 (2°C above ambient temperature and ambient [CO2]), aTeCO2 (ambient temperature and 200 ppm above ambient [CO2]), and eTeCO2 (2°C above ambient temperature and 200 ppm above ambient [CO2]).

https://doi.org/10.1371/journal.pone.0223937.g004

Dry mass

The eT, in 9 days, in both [CO2], resulted in an increase in the shoot dry mass. However, at 16 DAT, plants grown under [eCO2] had increased dry mass; At 23 DAT, the [eCO2], combined or isolated from eT, resulted in an increase in the dry mass of the shoot. At 30 DAT, the highest dry mass was observed only in plants grown under eT and [aCO2] (Fig 5, S3 File). The root dry mass in the 0–20 and 20–40 cm layers were higher due to the increase in temperature (Fig 6A and 6B).

thumbnail
Fig 5. Shoot dry mass of P. maximum during the experiment at 9, 16, 23 and 30 days after treatments (DAT).

Treatments: aTaCO2 (ambient temperature and ambient [CO2]), eTaCO2 (2°C above ambient temperature and ambient [CO2]), aTeCO2 (ambient temperature and 200 ppm above ambient [CO2]), and eTeCO2 (2°C above ambient temperature and 200 ppm above ambient [CO2]). Bars show means and SE of four replicates.

https://doi.org/10.1371/journal.pone.0223937.g005

thumbnail
Fig 6.

Root dry mass at 0–20 cm deep (A) and at 20–40 cm deep (B) of P. maximum at 30 days after treatments. Treatments: aTaCO2 (ambient temperature and ambient [CO2]), eTaCO2 (2°C above ambient temperature and ambient [CO2]), aTeCO2 (ambient temperature and 200 ppm above ambient [CO2]), and eTeCO2 (2°C above ambient temperature and 200 ppm above ambient [CO2]). Bars show means and SE of four replicates. ns and **: not significant and significant at 1%, respectively.

https://doi.org/10.1371/journal.pone.0223937.g006

Discussion

Our hypotheses were not corroborated because the nutrient content, accumulation and NUE responses to eCO2 and eT were nutrient-dependent. However, we highlight two major trends observed in our study: i) eT under aCO2 promoted an enhanced nutrient accumulation and NUE for most of the nutrients studied and, ii) eCO2 had an interactive effect when combined with eT, decreasing the NUE of N, K and Ca. In previous experiment conducted during winter (10–30°C) with adequate water availability, warming combined or not with elevated [CO2] resulted in a higher leaf dry mass of P. maximum. In addition, the authors observed increased N content in elevated [CO2] combined or not with warming, and decreased N content due to warming alone [11]. Here, we find that during summer (16–35°C), shoot dry mass also increases under eT and [eCO2], but the N content was not changed in most evaluations. Moreover, considering the final re-growth phase, which would be the period when the cattle would eat the pasture [21], K, Mg and S were not affected by treatments.

The increased NUE of N under warmed plots with unchanged N content indicated that P. maximum acclimates to moderate heating. This response may be associated with changes in N uptake and assimilation, allocation and remobilization or metabolic modifications [28]. Increased NUE of N may also be achieved by higher transpiration rates. However, recent evidence indicated that a 2°C elevation does not affect transpiration rates or water use efficiency of guinea grass [6]. In addition, we observed no dilution effect as the plants grew. Interesting, this improved NUE of N was detected even under rain-fed conditions, demonstrating that the positive effects of warming reported by other studies under well-watered conditions on P. maximum are maintained under rain-fed conditions.

Typically, plants grown under increased temperature exhibit lower P [29]. Accordingly, in our experiment, the decrease in P content, and its higher accumulation under eT, suggest that the dry mass of plants increased with warming and [eCO2] and that the P decrease was not limiting for plant growth. In addition, the P use efficiency indicates that the decrease of P content with warming was not harmful to plants. However, the P dilution effect that occurred with increasing plant dry mass does not seem to have been influenced by the [CO2] and warming treatments, given the similar slope values of the lines (Fig 4B). However, the increase in photosynthetic rate under elevated [CO2] [6] can be associated with the Rubisco content. High [CO2] is expected to increase the Rubisco concentration, and this will require more inorganic P to be transformed into organic P for Rubisco synthesis, which is an important component of rRNA involved in enzyme synthesis. Thus, the P use efficiency would increase because a higher proportion of P in plant tissue is used for photosynthesis-associated metabolism and assimilation [30], as we observed here.

In the literature, warming decreased K content in several plant species, although the causes are still unknown [31]. In our experiment, the K content was lower as a result of the temperature increase in the first three evaluations and, in the last one, there was no difference from the other treatments (Fig 1C). Although the K content was lower in the first three evaluations due to eT effects, plants showed increased NUE of K (Fig 3C), which presumably contributed to the gain in dry mass.

The increased Ca accumulation under eT, mainly in the last evaluations (Fig 2D), was probably associated with the increased Ca content (Fig 1D) and the increased shoot dry mass (Fig 5), and also due to absence of dilution effect (Fig 4D). Moreover, the increased Ca use efficiency (Fig 3D) under this same condition suggests that the gain in dry mass was greater than the increase in its absorption. The increase of Ca accumulation under eT may also be associated with the increased of root dry mass in this same treatment because root interception significantly contributes to Ca uptake [7].

The values close to the Mg and S contents suggest that the changes in the accumulation and the efficiency of these nutrients occurred due to the differences observed in the shoot dry mass and also the fact that although Mg concentrates and S dilutes with increased in shoot dry mass, this does not appear to be influenced by [CO2] and warming treatments, due to the similar straight slope (Fig 4E and 4F).

During a long time, the response of C4 species to increased levels of [CO2] was considered inexistent due to the natural concentration mechanisms of CO2 inside the bundle sheath cells. However, there is variation in the [CO2] saturation level of C4 leaves. While some species appear to be saturated under actual [CO2], others are not necessarily saturated at this level [32]. Likewise, P. maximum exhibited an increase in photosynthesis as a function of [eCO2] [6] and an increase in dry mass, although this result was dependent on the time of evaluation, in our experiment. The increase in shoot dry mass with heating is probably associated with higher use efficiency of N, P, K, Ca and Mg under this same condition (Fig 3). It means that with warming, plants are better able to convert these nutrients into dry mass.

Finally, because the combination of increased [CO2] and rising temperatures occur simultaneously [3], our short-term combined treatment results suggest that plants will have decreased P content and increased Ca content. This information may contribute to the interpretation of nutritional diagnoses in the future. Moreover, the increased accumulation of N, Ca and S in the combined treatment, without a corresponding increase in the use efficiency of these same nutrients, indicates that the fertilizer dose may need to be increased in the climate change scenario.

Conclusion

Our short-term results in young and well fertilized pasture suggest that under the combination of [eCO2] and eT conditions, P. maximum productivity will increase and the nutritional requirement for N, Ca and S will also increase.

Supporting information

S1 File. Performance of FACE system during the experimental period with P. maximum.

https://doi.org/10.1371/journal.pone.0223937.s001

(DOCX)

S2 File. Performance of T-FACE system during the experimental period with P. maximum.

https://doi.org/10.1371/journal.pone.0223937.s002

(DOCX)

S3 File. ANOVA results of macronutrient content, macronutrient accumulation, macronutrient use efficiency, linear regressions, dry mass and all data underlying the findings.

https://doi.org/10.1371/journal.pone.0223937.s003

(XLSX)

Acknowledgments

We thank Bruce Kimball from the USDA and Franco Miglietta from IBIMET, Italy. The authors thank Wolf Seeds from Ribeirão Preto, São Paulo State, Brazil, for providing seeds of P. maximum.

References

  1. 1. Houghton RA, Lawrence KT, Hackler JL, Brown S. The spatial distribution of forest biomass in the Brazilian Amazon: a comparison of estimates. Glob Chang Biol. 2008;7: 731–746.
  2. 2. Kumari M, Verma SC, Shweta . Climate change and vegetable crops cultivation: A review. Indian J Agric Sci. 2018;88: 167–174.
  3. 3. Allen MR, Dube OP, Solecki W, Aragón-Durand F, Cramer W. Framing and context. In: Masson-Delmotte V, Zhai P, Pörtner HO, Roberts D, Skea J, Shukla PR, et al., editors. Global Warming of 15°C An IPCC Special Report on the impacts of global warming of 15°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change. 2018.
  4. 4. Pezzopane JRM, Santos PM, Evangelista SRM, Bosi C, Cavalcante ACR, Bettiol GM, et al. Panicum maximum cv. Tanzânia: climate trends and regional pasture production in Brazil. Grass Forage Sci. 2017;72: 104–117.
  5. 5. Brouder SM, Volenec JJ. Impact of climate change on crop nutrient and water use efficiencies. Physiol Plant. 2008;133: 705–724. pmid:18507815
  6. 6. Habermann E, San Martin JAB, Contin DR, Bossan VP, Barboza A, Braga MR, et al. Increasing atmospheric CO2 and canopy temperature induces anatomical and physiological changes in leaves of the C4 forage species Panicum maximum. PLoS One. 2019;14: e0212506. pmid:30779815
  7. 7. Prado RM. Nutrição de plantas. 1st ed. Jaboticabal: UNESP; 2008.
  8. 8. Houshmandfar A, Fitzgerald GJ, O’Leary G, Tausz-Posch S, Fletcher A, Tausz M. The relationship between transpiration and nutrient uptake in wheat changes under elevated atmospheric CO2. Physiol Plant. 2018;163: 516–529. pmid:29205382
  9. 9. Siddiqi MY, Glass ADM. Utilization index: A modified approach to the estimation and comparison of nutrient utilization efficiency in plants. J Plant Nutr. 1981;4: 289–302.
  10. 10. Nie M, Lu M, Bell J, Raut S, Pendall E. Altered root traits due to elevated CO2: a meta-analysis. Glob Ecol Biogeogr. 2013;22: 1095–1105.
  11. 11. Prado CHBA Camargo-Bortolin LHG, Castro É Martinez CA. Leaf Dynamics of Panicum maximum under Future Climatic Changes. PLoS One. 2016;11: e0149620. pmid:26894932
  12. 12. Borjas‐Ventura R, Alves LR, de Oliveira R, Martínez CA, Gratão PL. Impacts of warming and water deficit on antioxidant responses in Panicum maximum Jacq. Physiol Plant. 2019;165: 413–426. pmid:30552688
  13. 13. Habermann E, Oliveira EAD, Contin DR, Delvecchio G, Viciedo DO, Moraes MA, et al. Warming and water deficit impact leaf photosynthesis and decrease forage quality and digestibility of a C4 tropical grass. Physiol Plant. 2019;165: 383–402. pmid:30525220
  14. 14. Wedow JM, Yendrek CR, Mello TR, Creste S, Martinez CA, Ainsworth EA. Metabolite and transcript profiling of Guinea grass (Panicum maximum Jacq) response to elevated [CO2] and temperature. Metabolomics. 2019;15: 1–13.
  15. 15. St.Clair SB, Lynch JP. The opening of Pandora’s Box: climate change impacts on soil fertility and crop nutrition in developing countries. Plant Soil. 2010;335: 101–115.
  16. 16. Thornthwaite CW. An Approach toward a Rational Classification of Climate. Geogr Rev. 1948;38: 55–94.
  17. 17. Santos HG. Sistema brasileiro de classificação de solos. Brasília: Embrapa; 2013.
  18. 18. van Raij B, Quaggio JA. Métodos de análises de solos para fins de fertilidade. Campinas; 1997.
  19. 19. Werner JC, Paulino VT, Cantarella H, Andrade NO, Quaggio JA. Forrageiras. In: van Raij B, Cantarella H, Quaggio JA, Furlani AMC, editors. Recomendações de adubação e calagem para o Estado de São Paulo. 1997. p. 289.
  20. 20. Silva S, Sbrissia A, Pereira L. Ecophysiology of C4 Forage Grasses: Understanding Plant Growth for Optimising Their Use and Management. Agriculture. 2015;5: 598–625.
  21. 21. Corrêa LDA, Santos PM. Manejo e utilização de plantas forrageiras dos gêneros Panicum, Brachiaria e Cynodon. Embrapa Pecuária Sudeste Doc 34. 2003: 36.
  22. 22. Carnevalli RA, Da Silva SC, Bueno AAO, Uebele MC, Bueno FO, Hodgson J, et al. Herbage production and grazing losses in Panicum maximum cv. Mombaça under four grazing managements. Trop Grasslands. 2006;40: 165–176.
  23. 23. Miglietta F, Peressotti A, Vaccari FP, Zaldei A, DeAngelis P, Scarascia-Mugnozza G. Free-air CO2 enrichment (FACE) of a poplar plantation: the POPFACE fumigation system. New Phytol. 2001;150: 465–476.
  24. 24. Miglietta F, Hoosbeek MR, Foot J, Gigon F, Hassinen A, Heijmans M, et al. Spatial and temporal performance of the miniFACE (free air CO2 enrichment) system on bog ecosystems in Northern and Central Europe. Environ Monit Assess. 2001;66: 107–127. pmid:11214346
  25. 25. Kimball BA, Conley MM, Lewin KF. Performance and energy costs associated with scaling infrared heater arrays for warming field plots from 1 to 100 m. Theor Appl Climatol. 2012;108: 247–265.
  26. 26. Bataglia OC, Furlani AMC, Teixeira JAF, Furlani PR, Gallo JR. Métodos de análise química de plantas. Instituto Agronômico de Campinas. 1983: 46.
  27. 27. Ferreira DF. Sisvar: a computer statistical analysis system. Ciênc Agrotec. 2011;35: 1039–1042.
  28. 28. Perchlik M, Tegeder M. Improving Plant Nitrogen Use Efficiency through Alteration of Amino Acid Transport Processes. Plant Physiol. 2017;175: 235–247. pmid:28733388
  29. 29. Reich PB, Oleksyn J. Global patterns of plant leaf N and P in relation to temperature and latitude. Proc Natl Acad Sci. 2004;101: 11001–11006. pmid:15213326
  30. 30. Jin J, Tang C, Sale P. The impact of elevated carbon dioxide on the phosphorus nutrition of plants: a review. Ann Bot. 2015;116: 987–999. pmid:26113632
  31. 31. Meng T-T, Wang H, Harrison SP, Prentice IC, Ni J, Wang G. Responses of leaf traits to climatic gradients: adaptive variation versus compositional shifts. Biogeosciences. 2015;12: 5339–5352.
  32. 32. Ainsworth EA, Long SP. What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2. New Phytol. 2005;165: 351–372. pmid:15720649