Abstract
The establishment of tree seedlings in the field, particularly in acidic soils, is commonly restricted by the excess or low availability of nutrients, or the quality of the root system. This study aimed to evaluate the effects of root deformation and substrate attributes on the growth, biomass allocation, and photosynthesis of G. americana seedlings. Plants were grown in pots containing three substrates (one sandy and fertile substrate enriched with organic matter and two acidic and low fertility substrates differing in texture) and two root conditions (without and with deformation). Growth, biomass allocation, leaf gas exchange, and chlorophyll fluorescence were evaluated. Substrates significantly affected growth, biomass allocation, and photosynthesis of G. americana seedlings. Root deformation affected only growth and biomass allocation. Interactive effects of substrate attributes and root deformation were observed for individual leaf area (ILA) and leaf area ratio (LAR). The increases in ILA and LAR of G. americana seedlings with root deformation and growing in substrates with low natural fertility may cause an imbalance in the absorption and loss of water by evapotranspiration, making the plants more susceptible to environmental stress after planting in the field.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
1 Introduction
Reforestation with native trees for the production of timber and non-timber forest products provides profits to farmers and is a way of increasing biological diversity, in addition to helping to restore the structure and functionality of forest ecosystems (Rappaport and Montagnini 2014; Piotto and Rolim 2018). The success of forest plantations is directly dependent on the seedling quality and resources of the physical environment, such as the availability of water and nutrients in the soil (Chadwick and Asner 2018).
Soil is an environmental factor of fundamental importance for all terrestrial plants because it provides not only the substrate for the roots to grow in but also the water and nutrients. However, the soil system can become a stress factor in some situations, interfering with the seedling establishment in forest environments and plantations (Ford and HilleRis Lambers 2020). Tropical forests are increasingly threatened by natural and anthropic actions. Natural processes such as droughts and floods are occurring more frequently and more intensely due to climate change in recent years and can promote imbalances in forest ecosystems (Vido and Nalevanková 2021); rates of deforestation and frequency of fires have increased in Brazil in recent decades (Borrelli et al. 2017; Flores et al. 2019). In many cases, these processes cause soil degradation, altering characteristics such as texture, drainage, and fertility (Dubuis et al. 2013), which can affect the availability of mineral nutrients or even increase the concentration of toxic elements (White et al. 2013). The establishment of seedlings in the field, mainly in acidic soils, is commonly limited by excess Al, Mn, and Fe concentrations or by the low availability of P, K, Mg, and Ca (White et al. 2013). In forest environments or mineral extraction areas, the concentrations of Al and Fe in the soil can significantly increase and reach toxic levels for some plants growing in these areas (Kochian et al. 2015). For example, phytotoxicity due to excess Al in the soil can limit plant growth and development for non-tolerant species (Wulff-Zottele et al. 2014). High concentrations of Al in the soil can lead to decreased absorption of water and nutrients (Cartes et al. 2012) because of lesions in the root meristems and decreased root elongation (Wulff-Zottele et al. 2014). In flooded soils and Fe extraction areas, high concentrations of metals in the soil can inhibit root growth and cause foliar chlorosis in non-tolerant species, which negatively affects their survival (Schmidt and Fühner 1998; Moller et al. 2007; Xing et al. 2010).
Seedling vigor contributes to increased survival and early growth after being transferred from the nursery to the field (Grossnickle and MacDonald 2018). Plants with greater vigor should be robust and have a balanced relationship between height, diameter, and root biomass (Grossnickle and MacDonald 2017). In addition, the greater root growth potential, water, and nutritional status of plants ensures greater survival and satisfactory growth in the field, even under stressful conditions (Grossnickle and MacDonald 2018; Riikonen and Luoranen 2018). In the nursery stage, the quality of the root system is one of the main aspects that requires attention. Root deformation can originate during pricking out or repotting seedlings. The damage during this process is irreversible and leads to the folding of the pivoting root in the form of a “loop” or “J” (Duboc 2014). Changes in the integrity of the root system contribute to decreased absorption and distribution of nutrients in various organs of the plant (Santos et al. 2022), which may decrease seedling survival and growth under environmentally stressful conditions.
Genipa americana L. is a tree species native to South and Central America and is widely distributed throughout Brazil. The species occurs in different soils, including the Cerrado (Bailão et al. 2015; Ruzza et al. 2018), where the soil Al content is high, or in floodplains in the Amazon (Pires et al. 2018), which may present phytotoxic concentrations of Fe (Schmidt and Fühner 1998). Belonging to the Rubiaceae family, it is popularly known as “Jenipapo” or “Jenipapeiro” (Zappi 2016). It has great ecological and economic importance, with significant potential for reforestation as a medicinal and food plant. In addition, it stands out for its physiological and morphological characteristics, being recommended for phytoremediation, the recovery of degraded areas, and the restoration of riparian forests (Lima et al. 2010; Santos et al. 2022). There are different studies in the literature on the versatility and high potential of G. americana for various possibilities of use related to the morphophysiological behavior of flooding tolerance (Santos et al. 2022), seed and seedling production (Raupp et al. 2020), medical and pharmaceutical properties (Alves et al. 2017), seed quality (Virgens et al. 2019), breeding and conservation (Cardoso et al. 2019), and ethnobotany (Tomchinsky and Ming 2019). Because of the countless possibilities associated with using this species, G. americana was included in a list of 39 priority species in the “Plants for the Future” program in the International Treaty on Plant Genetic Resources for Food and Agriculture (FAO 2017). G. americana is also indicated as one of the fifteen priority species for silvicultural research and for plantations in the Brazilian Atlantic Forest (Rolim et al. 2019).
Considering the attention that reforestation with native trees has received in recent years, and given the ecological and economic importance of G. americana, further studies on the changes that occur in the ecophysiological traits of this species due to the excess or low availability of nutrients in naturally degraded soils and root deformation, are required to increase the efficiency of initial plant establishment after planting. Thus, this study aimed to evaluate the effects of root deformation and substrate attributes on the growth, biomass allocation, and photosynthesis of G. americana seedlings. We tested the hypothesis that root deformation exacerbates the negative effects of low natural fertility and the high concentrations of heavy metals in the soil on the growth, biomass allocation, and photosynthesis of G. americana seedlings.
2 Materials and Methods
2.1 Study Area and Plant Material
The study was performed at the Universidade Estadual de Santa Cruz (UESC), Ilhéus, Bahia, Brazil (39°13′59''W; 14°45′15''S). Seeds were obtained from fruits sold in a free market in the city of Ibicaraí, Bahia, Brazil. The fruits were manually pulped and washed with running water. After washing, the seeds were dried in the shade on paper towels for 24 h and were germinated and grown in seedbeds containing washed sand for 63 days, according to the methodology described by Santos et al. (2021).
The experiment was conducted in the UESC’s nursery, which is a 12 m long, 6 m wide, and 3 m high hyphenation structure, covered with a shade screen that allows the passage of approximately 60% of solar radiation in full sun. After germination, 58 seedlings, 4 cm long with fully expanded cotyledon leaves, were collected. Of which 10 plants were destined to determine the initial biomass, and 48 were transferred from the seedbeds to 90 mL plastic tubes containing Carolina Soil® commercial substrate. At the time of pricking out, two root conditions were induced, that is, without and with deformation. Root deformation was manually induced in half of the seedlings by making holes in the substrate to accommodate only 50% of the total root length. This results in an elbow bend of the seedlings’ tap root, deforming further root growth. This procedure was performed by a single person to avoid variations due to the handling of the plants by different operators. After a period of 60 days of growth, the plants were transferred to 1.5 L plastic bags containing the three substrates with different chemical and physical characteristics (see Supplementary Fig. S2). In the transplant, the substrate that adhered to the roots of the plants was maintained, corresponding to approximately 20% of the total capacity of the plastic bag. During the experiment, daily average temperatures of 27 ℃ were recorded. The average daily vapor pressure deficit was 1.35 kPa, and the average daily light integral was 16 mol photons m−2 day−1, varying between 8 and 28 mol photons m−2 day−1. The experiment lasted 90 days.
2.2 Substrate Characterization and Analysis
The substrates were collected from different locations in the southern region of the state of Bahia, Brazil. The substrates were selected based on their chemical and physical characteristics. Soil samples were collected at a depth of 20 to 40 cm. Substrate S1 was collected from a rustic agroforestry system (cacao trees cultivated with several native and exotic trees) in the district of Salobrinho in the municipality of Ilhéus (39°10′0″W; 14°48′0″S), substrate S2 was collected in the municipality of Uruçuca (39°17′29″W; 14°35′12″S), and substrate S3 was collected at the Experimental Station of Almada in the municipality of Ilhéus (39°10′00″W; 14°38′00″S). The physicochemical characteristics of the substrates were analyzed at the Soil, Plant Tissue, and Fertilizers Analyses Laboratory of the Universidade Federal de Viçosa (UFV), Viçosa, MG, Brazil. The substrates were analyzed according to the methodology described by Teixeira et al. (2017) which consisted of pH in water and CaCl2 (substrate: solution ratio 1:2.5) determined by potentiometry. P and K contents were extracted with Mehlich-1 solution and determined by spectrocolorimetry and flame photometry, respectively. The contents of Ca, Mg, and Al were extracted with KCl 1.0 mol L−1; Ca and Mg were determined by complexometric titration with EDTA and Al by acid/base neutralization titration. Organic matter (OM) was digested with potassium dichromate and determined by Walkley Black titration. The granulometric analysis was performed using the densimeter method. The micronutrients Zn, Mn, Cu, and Fe were extracted with Mehlich-1 solution and determined by atomic absorption spectrometry. The three substrates used in the experiment contrasted in terms of texture and the fertility attributes of acidity, total organic matter, cation exchange capacity (CEC), and nutrient availability (Table 1). S1 had high organic matter and total nitrogen content, high CEC, and good nutrients availability of all. In contrast, S2 and S3 were acidic, with low organic matter content, low CEC, and low availability of nearly all nutrients. However, S2 and S3 also showed the following differences: S2 was siltier, poorer in macronutrients, and more acidic than S3. Therefore, S2 had greater availability of micronutrients Cu, Mn, and Zn than S3 (Table 1).
2.3 Growth and Biomass Allocation
At the beginning of the experiment, of the 58 plants that were collected, 10 plants were used to determine the diameter (D), height (H), number of leaves (LN), leaf area (LA), leaf dry mass (LDM), stem dry mass (SDM), root dry mass (RDM), and total dry mass (TDM), the initial time. The LA was measured using an automatic leaf area meter, LI-3000 (Li-Cor Bioscience, Lincoln, NE, USA). To determine the dry mass, the plants were separated into roots, stems, and leaves and the samples were dried in a forced ventilation oven at 50 ℃ until a constant mass was obtained. At the end of the 90 days of the experiment, all 48 plants that were cultivated with different treatments were collected for growth and biomass analysis. After counting the LN, LA was obtained and the dry mass leaf was determined. Subsequently, the individual leaf area (ILA) and leaf mass per area (LMA) were calculated. From the dry mass and LA data, the following variables were calculated: root mass ratio (RMR), stem mass ratio (SMR), leaf mass ratio (LMR), leaf area ratio (LAR), relative growth rate (RGR), and net assimilation rate (NAR), according to Hunt (2017).
2.4 Leaf Gas Exchange
Measurements of the net photosynthetic rate per unit leaf area (Aarea), stomatal conductance to water vapor (gs), and leaf transpiration rate (E) were performed at the end of the experiment. Measurements of leaf gas exchange were performed between 7 and 10 am, on the third mature and fully expanded leaf, on eight plants per treatment. Measurements were performed using a portable photosynthesis system, LI6400 (Li-Cor Bioscience, USA), adjusted to a PAR value of 1000 μmol m−2 s−1, the temperature of 28 ℃, relative humidity between 60 and 65%, and ambient CO2 concentration (± 390 ppm). The net photosynthetic rate per unit mass (Amass) was calculated as the ratio between Aarea and LMA (Prado and de Moraes 1997). The water use efficiency (WUE) was calculated as the ratio between Aarea and E.
2.5 Chlorophyll Index and Chlorophyll Fluorescence
After the leaf gas exchange measurements on the same leaf, measurements of the chlorophyll index (ISPAD) were performed using a portable chlorophyll meter model SPAD-502 (Minolta, Japan). Chlorophyll fluorescence was measured using a portable fluorescence emission meter Pocket Pea (Hansatech Instruments, UK). After measuring the chlorophyll index, a clip was placed on the same leaf to maintain dark conditions for at least 30 min, ensuring total oxidation of the electron transport chain of the photosynthetic system. Thereafter, the leaves were exposed to a saturating pulse light (3500 μmol photons m−2 s−1, wavelength of 650 nm, for 1 s). The transient fluorescence of chlorophyll a was analyzed by the JIP test (Strasser and Strasser 1995), which consists of the evaluation of the electron transport steps of the transient fluorescence of chlorophyll a (OJIP) from the energy flow associated with photosystem II (PSII). From the chlorophyll fluorescence measurements, we calculated the maximum quantum yield of PSII photochemistry (Fv/Fm), the reaction center density (RC/ABS), the performance index (PIABS), and the total performance index (PItotal). These parameters were selected because they are indicators of the efficiency of absorption, capture, and energy transfer of PSII, which can express the loss of photochemical efficiency of the photosynthetic apparatus under conditions of environmental stress (Modolo et al., 2020; Guimarães et al. 2022).
2.6 Statistical Analysis
The experiment was conducted in a completely randomized 3 × 2 factorial design, with three substrates and two root conditions (with and without root deformation), with eight replicates and one plant per experimental unit. Prior to the analyses, to meet the assumptions of homogeneity and normality, the data were submitted to the Shapiro–Wilk normality test and the Levene Test. The data were subjected to analysis of variance (two-way ANOVA), followed by Tukey’s test (p < 0.05) for comparisons among substrates and T-test (p < 0.05) for comparisons between root conditions. Statistical analyses were performed using the R software platform (R Core Team 2020).
3 Results
Among the twenty-one variables analyzed in this study, eighteen were significantly affected by substrates and seven by root deformation (Supplementary Table S1). With the exception of LMR, RMR, and LAR, the substrates significantly affected all growth, biomass allocation, leaf gas exchange, and chlorophyll fluorescence variables analyzed, but root deformations significantly affected only growth and biomass allocation variables. Interactive effects of substrate attributes and root deformation were observed for individual leaf area (ILA) and leaf area ratio (LAR).
Most of the variables analyzed were significantly affected by the characteristics of the substrates; the mean values for S1 were significantly higher than the mean values for the substrates S2 and S3 (Table 2). The only exceptions were SMR, whose mean was significantly higher in S3 compared to S1 and S2, and PIABS, which did not differ significantly between S1 and S2. In general, the highest mean values were obtained for S1, followed by S2 and S3. Some variables showed very large differences between S1 and S2. For example, the mean values of H, LA, ILA, WUE, Aarea, Amass, RC/ABS, and PItotal were more than twice as high in S1 compared to S2. Among these variables, the greatest differences were obtained for LA and RC/ABS, whose mean values were more than three times higher in S1 compared to S2.
The highest mean values of LA, ILA, RGR, RMR, and LAR were observed for plants with root deformations, and the highest mean values of SMR and LMA were observed for plants without root deformation (Table 3). Contrary to what was observed for the substrates, none of the variables presented in Table 2 showed differences greater than twice between plants without and with root deformation.
The highest mean values for ILA and LAR were obtained in S1 and S3, respectively, independent of the root conditions (Fig. 1). Non-significant differences between root conditions were observed in S1 and S2, but the mean values of ILA and LAR were significantly higher for plants with root deformations in comparison with plants without root deformations in S3. In the S3, the mean values of ILA and LAR in plants with root deformation were about 2.0 and 1.3 times higher, respectively, in relation to plants without root deformation.
4 Discussion
Seedling performance is mediated by morphological and physiological attributes (Grossnickle and Folk 1993), and the potential for survival in the first year after planting is influenced by the quality of the seedlings (Grossnickle 2012). Based on our results, many of the effects attributed to the chemical characteristics of the substrates and root conditions were associated with changes in the above-ground part of the plants, which negatively impacted photosynthesis and growth in different ways.
In this study, the highest growth rates were obtained in the substrate with higher organic matter content (S1) compared to the substrates S2 and S3. The higher proportion of organic matter in S1 may have contributed to the higher CEC and, consequently, the greater availability of cationic mineral nutrients (Krzyzanski et al. 2018). In contrast, exposure of roots to high concentrations of Al in S2 may have caused damage and significant inhibition of root growth, thereby reducing water and nutrient uptake (Ryan et al. 2011). In many forest soils, the Al saturation index can reach values around 50% (Butterfield 1996) and even above 80% (Haridasan and Araújo 1988). Al-accumulating trees can survive and grow at very high Al saturation index values (Haridasan and Araújo 1988), including species from the Rubiaceae family (Haridasan 2008; Malta et al. 2016). Despite this, according to Ribeiro et al. (1999), Al saturation indexes above 20% cause limitations in perennial crops and above 50%, the soil presents high toxicity. In fact, Al content in S2 was 8 mmolc dm−3, which corresponds to an Al saturation index of 51%, above the limit considered toxic for most perennial plants.
The low availability of nutrients in S2 and S3 influenced the photosynthetic capacity of G. americana (Wang et al. 2018), which is reflected in the low growth rates observed in these substrates (Turner et al. 2018). This fact indicates that low fertility can cause an imbalance in the absorption of nutrients due to the low or high concentration of another nutrient present in the soil. The high concentration of Fe in S3, which is associated with lower concentrations of Cu, Zn, and mainly Mn, negatively impacts plant growth by inhibiting root growth and nutrient cycling (Briat et al. 2010). It is noteworthy that in the root absorption process, a high concentration of one nutrient can inhibit the absorption of another (Marschner 2012), and this phenomenon is more intense when competitive inhibition occurs; that is, when two nutrients compete for the same absorption, such as Fe and Mn (Malavolta 2006). The visual symptoms observed in G. americana plants in S3 (data not shown) were internerval foliar chlorosis (Becker and Asch 2005), probably indicating nutritional imbalance associated with restrictive effects on seedling growth (Santana et al. 2014) and low availability of nutrients, mainly Mn.
The effects of mineral nutrition on shoot growth and its relationship with the root system depend on the physicochemical properties of the soil, root specialization (Rao et al. 2016) and interactions with microorganisms (Tedersoo and Bahram 2019), which must ensure good availability of mineral nutrients, favoring the high physiological performance of plants. Under ideal conditions, more efficient uptake of nutrients by plants may be related to high photosynthetic rates and translocation of carbohydrates for cellular respiration in roots, providing energy for uptake or renewal of carrier proteins (Chapin 1980). This energy input for the absorption of macro and micronutrients guarantees the supply for the development of new leaves. Thus, soils with high fertility can provide high efficiency in carbon assimilation, resulting in high growth rates after planting the seedlings in the field (White et al. 2013). Compared to S1, the lower values of LA observed in S2 and S3 may have indicated that carbon assimilation was not sufficient for the production of new photosynthetic tissues, which also resulted in lower RGR values in these substrates. The leaf characteristics of young G. americana plants were highly responsive to acidic substrates with low fertility. The high or low concentration of any mineral nutrient can cause an imbalance in other nutrients, as seen with the high availability of Fe and low availability of Mn in S3. Among the different proteins that act in the transport of nutrients in plants, the NRAMP family of proteins can transport metallic cations, both Fe and Mn (Tian et al. 2021). Thus, the high ratio between Fe/Mn concentrations may affect the plants more negatively than in S2. This is because most proteins that transport Mn are not specific for the metal, which can lead to competitive inhibition with other divalent cations, such as Cu, Zn, and mainly Fe, in their absorption (Santiago et al. 2020).
LMA is a variable related to investments in photosynthetic tissues per unit of leaf area (Liu and Su 2016) and is directly related to trade-offs between carbon assimilation and leaf life-span (Reich 2014). The LMA values obtained in our study are within the range of results previously reported for G. americana and other tropical tree species (Lima et al. 2010). The lowest values for LMA were observed for plants grown in S2 and S3, indicating thinner and less dense leaves. Lower values were also observed for E and WUE in S2 and S3. These differences show a relationship between the variables LMA, Aarea, E, and WUE, which could be explained by the fact that LMA is very sensitive to changes in resource availability, such as nutrients, water, and light (Poorter et al. 2009). Furthermore, WUE is calculated by the ratio between Aarea and E. Plants grown in S1, even with a greater loss of water through transpiration (higher average values of E in relation to the other), also showed higher LMA, Aarea, and consequently WUE.
Chlorophylls are the most important plant pigments because they capture light and convert physical light energy into chemical energy, directly influencing carbon assimilation (Li et al. 2018). Plants grown in S2 and S3 had lower values for Aarea and Amass compared to plants grown in S1. This could be attributed to the excess of Al in S2 and the high ratio between Fe/Mn concentrations in S3, which may have caused the inhibition of chlorophyll biosynthesis (El-Khatib et al. 2020). Furthermore, under saturating induction, the Fv/Fm ratio was lower in plants grown in S3 than in plants grown in S1 and S2. The Fv/Fm ratio is an important indicator of environmental stress in plants (Pollastrini et al. 2014). The high concentration of Fe associated with the low availability of Mn in S3 may have contributed to the increased biosynthesis of reactive oxygen species and greater oxidative stress (Silva et al. 2006). In the same substrate, low RC/ABS values were observed, indicating that the PSII reaction centers were possibly inactive. This may also be associated with Mn deficiency, which may have reduced the number of Mn complexes in the PSII nucleus, which leads to PSII complex disintegration and causes damage to the thylakoid structure, thereby promoting chlorophyll degradation. Low PIABS values, also found for plants growing in S3, may reflect a loss of photochemical efficiency (Thach et al. 2007). The high acidity and low availability of nutrients in S2 and S3 contributed to changes in the leaf characteristics of G. americana seedlings, compromising the efficiency of light interception and, consequently, photosynthetic capacity and growth.
In this study, three-month-old G. americana seedlings were affected by excess Al and a high [Fe] to [Mn] ratio, which is associated with lower contents of Cu, Zn in S3. Although plants grown in S2 performed better for some variables than in S3, the very low Mn content and the higher Fe content in S3 negatively affected plants grown on this substrate, which may be related to competitive inhibition. In this study, plants in S2 and S3 presented visible symptoms (data not shown) such as leaf chlorosis, necrotic spots, and leaf abscission, and negative effects on growth and photosynthesis. Notably, previous studies have reported that tropical tree species may have a high tolerance to metal accumulation in shoots and roots without visual symptoms (Verbruggen et al. 2009; Sun et al. 2020).
Contrary to expectations, the values of LA, ILA, LAR, and RGR were higher in plants with root deformation. Despite the greater LA observed in plants with root deformation, their leaves were thinner, as the mean value of LMA was significantly lower in plants with root deformations than in plants without root deformation. Thinner leaves may become a problem in situations of high light intensity or even water deficit during the seedling establishment phase in the field. This is because plants with thicker leaves have a greater amount of water per unit of leaf area, which can reduce the effects caused by possible photoinhibition, preventing overheating of the leaves (Takahashi and Murata 2008) and the risks of herbivory (Peeters et al. 2007). Structural changes in the leaves, particularly in leaf toughness (Wright et al. 2002), are among the main indicators of the ability of leaves to acclimatize to environmental conditions (Feng et al. 2004). Despite being a morphological characteristic, LMA is highly correlated with physiological processes. This is because LA and LMA connect growth (interception of light), allocation of biomass (LMA), and photosynthesis.
In this study, plants with root deformation had the highest RMR values. As previously reported by Figueiredo (2014), plants that grow in plastic tubes with the induction of root deformation may show an increase in root volume or even root volume similar to that of plants without root deformation. In our study, the higher values of RMR plants with root deformation may be related to an increase in the volume of the root system or increased root production. Other studies have also reported that the average diameter of roots with deformation becomes larger, which leads to an increase in their thickness (Gallegos et al. 2020). Thus, deformation followed by an increase in the average diameter of the roots may have contributed to the increase in volume observed in the root system.
5 Conclusions
Acidic substrates with a high concentration of Al (S2) or a high ratio of Fe/Mn concentrations (S3) significantly affected the growth, biomass allocation, and photosynthesis of G. americana young plants. Interestingly, root deformation increased LA, ILA, and LAR, increasing RGR, although no significant effects of root deformation on leaf gas exchange and chlorophyll fluorescence variables were observed. Interactive effects of substrates and root deformation were observed for ILA and LAR. The increases in ILA and LAR of G. americana seedlings with root deformation and growing in substrates with low natural fertility may cause an imbalance in the absorption and loss of water by evapotranspiration, making the plants more susceptible to environmental stress after planting in the field.
Availability of Data and Materials
Supplementary Table S1 and Fig. S1.
References
Alves JSF, Medeiros LA, Fernandes-Pedrosa MF et al (2017) Iridoids from leaf extract of Genipa americana. Rev Bras Farmacogn 27(5):641–644. https://doi.org/10.1016/j.bjp.2017.03.006
Bailão EFLC, Devilla IA, Conceição EC, Borges LL (2015) Bioactive compounds found in Brazilian Cerrado fruits. Int J Mol Sci 16(1):23760–23783. https://doi.org/10.3390/ijms161023760
Becker M, Asch F (2005) Iron toxicity in rice conditions and management concepts. J Soil Sci Plant Nutr 168(4):558–573. https://doi.org/10.1002/jpln.200520504
Borrelli P, Robinson DA, Fleischer LR et al (2017) An assessment of the global impact of 21st century land use change on soil erosion. Nat Commun 8:2013. https://doi.org/10.1038/s41467-017-02142-7
Briat JF, Duc C, Ravet K, Gaymard F (2010) Ferritins and iron storage in plants. Biochim Biophys Acta 1800:806–814. https://doi.org/10.1016/j.bbagen.2009.12.003
Butterfield RP (1996) Early species selection for tropical reforestation: a consideration of stability. For Ecol Manag 81(1–3):161–168. https://doi.org/10.1016/0378-1127(95)03649-0
Cardoso MN, Nascimento AL, Oliveira LAR et al (2019) Genetic diversity in native Genipa americana (Rubiaceae) populations in Sergipe, Brazil. Genet Mol Res 18 (1): gmr18119. https://doi:https://doi.org/10.4238/gmr18119
Cartes P, McManus M, Wulff-Zottele C et al (2012) Differential superoxide dismutase expression in ryegrass cultivars in response to short term aluminium stress. Plant Soil 350: 353–363. https://doi:https://doi.org/10.1007/s11104-011-0919-3
Chadwick KD, Asner GP (2018) Landscape evolution and nutriente rejuvenation reflected in Amazon forest canopy chemistry. Ecol Lett 21(7): 978–988.https://doi.org/10.1111/ele.12963
Chapin SF (1980) The mineral nutrition of wild plants. Ann Rev Ecol Syst 11:233–260
Duboc E (2014) Erva-Mate: Parâmetros para seleção de planta matriz e área de coleta de sementes. Mato Grosso do Sul, Brasil
Dubuis A, Giovanettina S, Pellissier L et al (2013) Improving the prediction of plant species distribution and community composition by adding edaphic to topo-climatic variables. Appl Veg Sci 24 (4): 593–606. https://doi:https://doi.org/10.1111/jvs.12002
El-Khatib AA, Youssef NA, Barakat NA, Samir NA (2020) Responses of Eucalyptus globulus and Ficus nitida to different potential of heavy metal air pollution. Int J Phytoremediation 22 (1): 1–14. https://doi:https://doi.org/10.1080/15226514.2020.1719031
FAO (2017) The future of food and agriculture – trends and challenges Rome. Food and Agriculture Organization of the United Nations. http://www.fao.org/3/a-i6583e.pdf. Accessed 15 Jul 2021
Feng YL, Cao KF, Zhang JL (2004) Photosynthetic characteristics, dark respiration, and leaf mass per unit area in seedlings of four tropical tree species grown under three irradiances. Photosynthetica 42: 431–437.https://doi.org/10.1023/B:PHOT.0000046163.83729.e5
Figueiredo FA (2014) Condutividade hidráulica de raiz e capacidade fotossintética de mudas clonais de eucalipto com indução de deformações radiculares. Cienc Florest 24(2):277–287. https://doi.org/10.5902/1980509814566
Flores BM, Staal A, Jakovac CC, Hirota M, Holmgren M, Oliveira RS (2019) Soil erosion as a resilience drain in disturbed tropical forests. Plant Soil 450:11–25. https://doi.org/10.1007/s11104-019-04097-8
Ford KR, HilleRis Lambers J (2020) Soil alters seedling establishment responses to climate. Ecol Lett 23(1):140–148. https://doi.org/10.1111/ele.13416
Gallegos J, Alvaro JE, Urrestarazu M (2020) Container design affects shoot and root growth of vegetable plant. Hortscience 55(6): 787–794. https://doi.org/10.21273/HORTSCI14954-20.
Grossnickle SC (2012) Why seedlings survive: importance of plant attributes. New For 43:711–738. https://doi.org/10.1007/s11056-012-9336-6
Grossnickle SC, Folk RS (1993) Stock quality assessment: forecasting survival or performance on a reforestation site. Tree Plant Notes 44(3):113–121. https://doi.org/10.1023/A:1006519315955
Grossnickle SC, MacDonald JE (2018) Seedling quality: history, application, and plant attributes. Forests 9(5):283. https://doi.org/10.3390/f9050283
Grossnickle SC, MacDonald JE (2017) Why seedlings grow: influence of plant attributes. New for 49:1–34. https://doi.org/10.1007/s11056-017-9606-4
Guimarães ZTM, Santos VAHF, Ferreira MJ (2022) Chlorophyll a fluorescence parameters are related to the leaf economics spectrum of tropical tree species in mixed plantation. Trees 3:1–13. https://doi.org/10.1007/s00468-021-02248-y
Haridasan M (2008) Nutritional adaptations of native plants of the cerrado biome in acid soils. Braz J Plant Physiol 20(3):183–195. https://doi.org/10.1590/S1677-04202008000300003
Haridasan M, Araújo GM (1988) Aluminium-accumulating species in two forest communities in the cerrado region of central Brazil. For Ecol Manag 24(1):15–26. https://doi.org/10.1016/0378-1127(88)90021-7
Hunt T (2017) Growth analysis, individual plants. Academic Press, Reino Unido
Kochian LV, Piñeros MA, Liu J, Magalhaes JV (2015) Plant adaptation to acid soils: the molecular basis for crop aluminum resistance. Annu Rev Plant Biol 66:571–598. https://doi.org/10.1146/annurev-arplant-043014-114822
Krzyzanski HC, Carrenho R, Araujo MA (2018) Abiotic soil attributes and their relation to morphological root characteristics and mycorrhizal colonization of grasses. Rev Bras Bot 4:539–549. https://doi.org/10.1007/s40415-018-0481-9
Li Y, He N, Hou J et al (2018) Factors influencing leaf chlorophyll content in natural forests at the biome scale. Front Ecol Evol 6:64. https://doi.org/10.3389/fevo.2018.00064
Lima MAO, Mielke MS, Lavinsky AO et al (2010) Crescimento e plasticidade fenotípica de três espécies arbóreas com uso potencial em sistemas agroflorestais. Sci for 38(87):527–534
Liu W, Su J (2016) Effects of light acclimation on shoot morphology, structure, and biomass allocation of two Taxus species in southwestern China. Sci Rep 6:35384. https://doi.org/10.1038/srep35384
Malavolta E (2006) Manual de nutrição mineral de plantas. São Paulo, Brasil.
Malta PG, Arcanjo-Silva S, Ribeiro C, Campos NV, Azevedo AA (2016) Rudgea viburnoides (Rubiaceae) overcomes the low soil fertility of the Brazilian Cerrado and hyperaccumulates aluminum in cell walls and chloroplasts. Plant Soil 408(1):369–384. https://doi.org/10.1007/s11104-016-2926-x
Marschner P (2012) Marschner’s mineral nutrition of higher plants. Academic Press, London
Modolo GS, Santos VAHF, Ferreira MJ (2020) Testing for functional significance of traits: effect of the light environment in tropical tree saplings. Ecol Evol 11:6480–6492. https://doi.org/10.1002/ece3.7499
Moller MI, Jensen PE, Hansson A (2007) Oxidative modifications to cellular components in plants. Annu Rev Plant Biol 58:459–481. https://doi.org/10.1146/annurev.arplant.58.032806.103946
Peeters PJ, Sanson G, Leia J (2007) Leaf biomechanical properties and the densities of herbivorous insect guilds funct. Ecol 21:246–255. https://doi.org/10.1111/j.1365-2435.2006.01223.x
Piotto D, Rolim SG (2018) Sistemas silviculturais com espécies nativas na Mata Atlântica. Belo Horizonte, Brasil
de Pires HR, A, Franco AC, Piedade MTF, et al (2018) Flood tolerance in two tree species that inhabit both the Amazonian floodplain and the dry Cerrado savanna of Brazil. AoB Pants 10(6):ply065. https://doi.org/10.1093/aobpla/ply065
Pollastrini M, Holland V, Brüggemann W et al (2014) Interactions and competition processes among tree species in young experimental mixed forests, assessed with chlorophyll fluorescence and leaf morphology. Plant Biol 16:323–331. https://doi.org/10.1111/plb.12068
Poorter H, Niinemets Ü, Poorter L (2009) Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis. New Phytol 182:565–588. https://doi.org/10.1111/j.1469-8137.2009.02830.x
Prado CHBA, de Moraes JAPV (1997) Photosynthetic capacity and specific leaf mass in twenty woody species of Cerrado vegetation under field conditions. Photosynthetic 33:103–112. https://doi.org/10.1023/A:1022183423630
R Core Team R (2020) A language and environment for statistical computing.https://www.r-project.org/. Accessed 19 Jan 2021
Rao IM, Miles JW, Beebe SE, Horst WJ (2016) Root adaptations to soils with low fertility and aluminium toxicity. Ann Bot 118(4):593–605. https://doi.org/10.1093/aob/mcw073
Rappaport D, Montagnini F (2014) Tree species growth under a rubber (Hevea brasiliensis) plantation: native restoration via enrichment planting in southern Bahia. Brazil New for 45:715–732. https://doi.org/10.1007/s11056-014-9433-9
Raupp PP, Ferreira MC, Alves M et al (2020) Direct seeding reduces the costs of tree planting for forest and savanna restoration. Ecol Eng 148:105788. https://doi.org/10.1016/j.ecoleng.2020.105788
Reich PB (2014) The world-wide “fast–slow” plant economics spectrum: a traits manifesto. J Ecol 102:275–301. https://doi.org/10.1111/1365-2745.12211
Ribeiro AC, Guimarães PTG, Alvarez VVH (1999) Recomendação para o uso de corretivos e fertilizantes em Minas Gerais: 5ª aproximação. CFSEMG
Riikonen J, Luoranen J (2018) Seedling production and the field performance of seedlings. Forests (9): 740. https://doi.org/10.3390/f9120740
Rolim SG, Piñ-Rodrigues FCM, Piotto D, Batista A, Freitas MLM, Brienza Junior S, Zakia MJB, Calmon M (2019) Research gaps and priorities in silviculture of native species in Brazil. Working Paper. São Paulo, Brasil, WRI Brasil.
Ruzza DAC, Rossi AAB, Bispo RB et al (2018)The genetic diversity and population structure of Genipa americana (Rubiaceae) in Northern Mato Grosso, Brazil. Genet Mol Res (1):gmr16039899. gmr18017. https://doi.org/10.4238/gmr18017
Ryan PR, Tyerman SD, Furuichi T et al (2011) The identification of aluminium-resistance genes provides opportunities for enhancing crop production on acid soils. J Exp Bot (62): 9–20. https://doi.org/10.1093/jxb/erq272
Santana BVN, de Araújo TO, Andrade GC et al (2014) Leaf morphoanatomy of species tolerant to excess iron and evaluation of their phytoextraction potential. Environ Sci Pollut Res 21:2550–2562. https://doi.org/10.1007/s11356-013-2160-5
Santiago A, Stefanie H, Bastian M et al (2020) Manganese in plants: from acquisition to subcellular allocation. Front Plant Sci 11:300. https://doi.org/10.3389/fpls.2020.00300
Santos CS, Dalmolin ÂC, Santos MS et al (2021) Morphometry of the fruits of Genipa americana (Rubiaceae): a case study from the southern coast of Bahia. Brazil Rodriguesia 72:e00652020. https://doi.org/10.1590/2175-7860202172101
Santos CS, Dalmolin ÂC, Schilling AC (2022) Root deformation affects mineral nutrition but not leaf gas exchange and growth of Genipa americana seedlings during the recovery phase after soil flooding. Braz J Biol 82:e234018. https://doi.org/10.1590/1519-6984.234018
Schmidt W, Fühner C (1998) Sensitivity to and required for iron in Plantago species. New Phytol 138:639–651. https://doi.org/10.1046/j.1469-8137.1998.00156.x
Silva LC, Oliva MA, Azevedo AA et al (2006) Responses of restinga plant species to pollution from an iron pelletization factory. Water Air Soil Pollut (175): 241–256. https://doi.org/10.1007/s11270-006-9135-9
Strasser BJ, Strasser RJ (1995) Measuring fast fuorescence transients to address environmental questions: the JIP test. Photosynthesis: from light to biosphere 977–980. https://doi.org/10.1007/978-94-009-0173-5_1142
Sun L, Zhang M, Liu X et al (2020) Aluminium is essential for root growth and development of tea plants (Camellia sinensis). J Integr Plant Biol (62): 984–997. https://doi.org/10.1111/jipb.12942
Takahashi S, Murata N (2008) How do environmental stresses accelerate photoinhibition? Trends Plant Sci 4:178–182. https://doi.org/10.1016/j.tplants.2008.01.005
Tedersoo L, Bahram M (2019) Mycorrhizal types differ in ecophysiology and alter plant nutrition and soil processes. Biol Rev 94(5):1857–1880. https://doi.org/10.1111/brv.12538
Teixeira PC, Donagemma GK et al (2017) Manual de métodos de análise de solo. Brasil, Rio de Janeiro
Thach LB, Shapcott A, Schmidt S, Critchley C (2007) The OJIP fast fluorescence rise characterizes Graptophyllum species and their stress responses. Photosynthesis Research (94): 423–436. https://doi.org/10.1007/s11120-007-9207-8
Tian XY, He DD, Bai S et al (2021) Physiological and molecular advances in magnesium nutrition of plants. Plant Soil 368 (1–2). https://doi.org/10.1007/s11104-021-05139-w
Tomchinsky B, Ming LC (2019) As plantas comestíveis no Brasil dos séculos XVI e XVII segundo relatos de época. Rodriguésia (70): 03792017. https://doi.org/10.1590/2175-7860201970040
Turner B, Brenes-Arguedas T, Condit R (2018) Pervasive phosphorus limitation of tree species but not communities in tropical forests. Nature 555:367–370. https://doi.org/10.1038/nature25789
Verbruggen N, Hermans C, Schat H (2009) Molecular mechanisms of metal hyperaccumulation in plants. New Phytol 181:759–776. https://doi.org/10.1111/j.1469-8137.2008.02748.x
Vido J, Nalevanková P (2021) Impact of natural hazards on forest ecosystems and their surrounding landscape under climate change. Water 13:1–4. https://doi.org/10.3390/w13070979
Virgens PBS, Conceição TA, Barbosa RM (2019) Tetrazolium test to evaluate viability and vigour in Genipa americana seeds. Seed Sci Technol (47): 307–318. https://doi.org/10.15258/sst.2019.47.3.06
Wang J, Wen X et al (2018) Co-regulation of photosynthetic capacity by nitrogen, phosphorus and magnesium in a subtropical Karst forest in China. Sci Rep 8(1):7406. https://doi.org/10.1038/s41598-018-25839-1
White PJ, George TS et al (2013) Root traits for infertile soils. Front Plant Sci (4): 193. https://doi.org/10.3389/fpls.2013.00193
Wright IJ, Westoby M, Reich PB (2002) Convergence towards higher leaf mass per area in dry and nutrient-poor habitats has different consequences for leaf life span. J Ecol (90): 534–543. https://doi.org/10.1046/j.1365-2745.2002.00689.x
Wulff-Zottele H, Hesse J et al (2014) Sulphate fertilization ameliorates long-term aluminum
Xing W, Li D, Liu G (2010) Antioxidative responses of Elodea nuttallii (Planch.) H. St. John to short-term iron exposure. Plant Physiol Biochem (48): 873–878. https://doi.org/10.1016/j.plaphy.2010.08.006
Zappi D (2016) Genipa americana na Lista de Espécies da Flora do Brasil. http://floradobrasil.jbrj.gov.br/jabot/floradobrasil/FB14045. Accessed 29 Jun 2021
Acknowledgements
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. Natanielly Rodrigues Avelino (BOL0023/2018), Catriane Sousa Santos (BOL0130/2019), and Álvaro Alves de Almeida (4016/2020) acknowledge the Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB) for the scholarships. Roberta Barreto dos Santos (139646/2020) acknowledges Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), and Amanda Freitas Cerqueira acknowledges CAPES for their scholarships. Marcelo S. Mielke (305477/2018-8) and Ândrea C. Dalmolin (307604/2020-9) gratefully acknowledge CNPq for the fellowship award for scientific productivity.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Catriane Sousa Santos and Marcelo Schramm Mielke conceived this study. Catriane Sousa Santos, Álvaro Alves de Almeida, Natanielly Rodrigues Avelino, and Roberta Barreto dos Santos collected the data. Catriane Sousa Santos analyzed the data with contritbutions from Amanda Freitas Cerqueira, Ândrea Carla Dalmolin, Martielly Santana dos Santos, and José Olímpio de Souza Júnior. Catriane Sousa Santos wrote the manuscript with all co-authors contributing to the fnal version.
Corresponding author
Ethics declarations
Ethics Approval and Consent to Participate
All authors approved participation in the manuscript.
Consent for Publication
All authors agree with the publication of the manuscript.
Competing Interests
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Sousa-Santos, C., Cerqueira, A.F., Dalmolin, Â.C. et al. Morphophysiological Changes in Genipa americana Seedlings in Response to Root Deformation and Substrate Attributes. J Soil Sci Plant Nutr 22, 2755–2764 (2022). https://doi.org/10.1007/s42729-022-00842-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s42729-022-00842-8