SciELO - Scientific Electronic Library Online

 
 número127Método no destructivo para estimar el área foliar de Erythroxylum pauferrense (Erythroxylaceae) a partir de las dimensiones lineales de las láminas foliaresEl género Hypoxylon (Xylariales, Ascomycota) en el bosque tropical caducifolio de cuatro Áreas Naturales Protegidas de México índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Acta botánica mexicana

versión On-line ISSN 2448-7589versión impresa ISSN 0187-7151

Act. Bot. Mex  no.127 Pátzcuaro  2020  Epub 07-Oct-2020

https://doi.org/10.21829/abm127.2020.1638 

Research articles

Influence of light availability and seed mass on germinability and initial growth of two congeneric species of Fabaceae

Influencia de la disponibilidad de luz y la masa de semillas sobre la germinabilidad y el crecimiento inicial de dos especies congénitas de Fabaceae

Marcilio Fagundes1 
http://orcid.org/0000-0001-5915-6331

Pablo Cuevas-Reyes2  * 
http://orcid.org/0000-0002-5897-919X

Walter S. Araújo1 
http://orcid.org/0000-0003-0157-6151

Maurício L. Faria1 
http://orcid.org/0000-0003-4976-1874

Henrique M. Valerio1 
http://orcid.org/0000-0001-9279-8344

Marcio A. Pimenta1 
http://orcid.org/0000-0002-9104-1822

Luiz A. D. Falcão1 
http://orcid.org/0000-0001-5268-684X

Ronaldo Reis-Junior1 
http://orcid.org/0000-0002-8646-1451

Joan Sebastian Aguilar-Peralta2 
http://orcid.org/0000-0001-8014-6795

Henrique Tadeu dos Santos1 
http://orcid.org/0000-0002-0622-6444

1Programa de Pós-Graduação em Biodiversidade e Uso dos Recursos Naturais, Departamento de Biologia Geral, Universidade Estadual de Montes Claros, 39401-089, Montes Claros, MG, Brazil.

2Laboratorio de Ecología de Interacciones Bióticas, Facultad de Biología, Universidad Michoacana de San Nicolás de Hidalgo, Ciudad Universitaria, Morelia, 58030Michoacán, México.


Abstract

Background and Aims:

Environmental factors can interact with plant life history to determinate the reproductive strategies of adult plants and seedling recruitment. We expect that widely distributed tree species produce heavier seed and with greater variation in seed size than shrubs of restricted geographic distribution. We also predict that widely distributed tree species should be capable to germinate and develop under variable range of light conditions, while sun-adapted shrubs should germinate and develop better under high light intensity. We used as models two congeneric species of Fabaceae. Copaifera langsdorffii is a widely distributed arboreal species and C oblongifolia is a shrub with restricted distribution.

Methods:

Seeds were collected from two plant species in a Cerrado vegetation area, northern Minas Gerais, Brazil. The effects of light available on seed germination and seedling development was conducted in a germination chamber with controlled photoperiod, temperature and light intensity.

Key results:

The widely distributed tree (C. langsdorffii) had greater seed mass than the shrub (C. oblongifolia). Seeds of C. langsdorffii germinated faster under available high light, while the shrub C. oblongifolia seeds required less time to germinate under available low light and darkness. Under high light intensity, germination percentage of C. langsdorffii and C. oblongifolia seeds did not vary. However, seeds of the shrub showed a higher germination percentage under low light intensity and darkness. In general, seed mass showed a negative relationship with germination percentage, but this relationship varied in function of species and the availability of light. Copaifera langsdorffii seedlings had larger shoots and roots than C. oblongifolia. In contrast, the root:shoot ratio was higher in shrub than in tree species.

Conclusions:

Our results have important implications for understanding the patterns of distribution of two Copaifera species and explain the ability of C. oblongifolia to colonize disturbed areas.

Key words: Copaifera; habitat invasion; plant recruitment; plant species distribution; regeneration niche hypothesis

Resumen

Antecedentes y Objetivos:

Los factores ambientales pueden interactuar con la historia de vida de las plantas determinando las estrategias reproductivas de individuos adultos y el reclutamiento de plántulas. Predecimos que las especies de árboles ampliamente distribuidas producen semillas más pesadas y con una mayor variación en el tamaño de las semillas que los arbustos de distribución geográfica restringida. Esperamos que las especies arbóreas ampliamente distribuidas deberían ser capaces de germinar y desarrollarse bajo un rango variable de condiciones de luz, mientras que los arbustos adaptados a condiciones de sol deberían germinar y desarrollarse mejor con una alta intensidad de luz. Usamos como modelo dos especies congenéricas de Fabaceae. Copaifera langsdorffii es una especie arbórea ampliamente distribuida y C. oblongifolia es un arbusto de distribución geográfica restringida.

Métodos:

Se colectaron semillas de estas especies de plantas en un área de vegetación de Cerrado, al norte del estado de Minas Gerais, Brasil. Los efectos de la disponibilidad de luz sobre la germinación de semillas y el desarrollo de plántulas se realizaron en una cámara de germinación con fotoperíodo controlado, temperatura e intensidad de luz.

Resultados clave:

El árbol de amplia distribución (C. langsdorffii) tuvo mayor masa de semillas que el arbusto (C. oblongifolia). Las semillas de C. langsdorffii germinaron más rápido bajo alta disponibilidad de luz, mientras que las semillas de C. oblongifolia requirieron menos tiempo para germinar bajo poca luz disponible y oscuridad. En alta intensidad de luz, las semillas de C. langsdorffii y de C. oblongifolia tuvieron similares porcentajes, mientras que las semillas de C. oblongifolia mostraron una mayor germinación en baja intensidad de luz y oscuridad. La masa de semillas mostró una relación negativa con el porcentaje de germinación, pero esta relación varió en función de las especies y de la disponibilidad de luz. Las plántulas de C. langsdorffii tuvieron mayor desarrollo de brotes y raíces que C. oblongifolia. En contraste, la relación raíz:brote fue mayor en arbustos que en árboles.

Conclusiones:

Nuestros resultados tienen implicaciones importantes para comprender los patrones de distribución de dos especies de Copaifera y poder explicar la capacidad de C. oblongifolia para colonizar áreas perturbadas.

Palabras clave: Copaifera; distribución de especies de plantas; hipótesis del nicho de regeneración; invasión de hábitat; reclutamiento de plantas

Introduction

Abiotic conditions such as topography, soil fertility, humidity, temperature, and light availability are the main factors that affect plant distribution and abundance (Buckley et al., 2003; Longas et al., 2016). In addition, biotic factors (e.g. herbivores, pollinators, seed predators and dispersers) can also affect plant distribution, considering that these are associated with their dispersal capacity, germination, and recruitment (Ranieri et al., 2012; Jelbert et al., 2015). These facts agree with the regeneration niche hypothesis, which states that the distribution of each plant species is restricted to a particular set of biological conditions in which optimal germination and establishment occur (Grubb, 1977). Regeneration niche can be defined as biotic and abiotic requirements in earlier stages of the life cycles of a plant species (Grubb, 1977; Poorter, 2007). In this context, many studies have evaluated seed and seedlings responses to variables of the regeneration niche with the objective of understanding patterns of plant species distribution and their ability of habitat colonization (Poorter, 2007; Murray et al., 2005; Ranieri et al., 2012; Sõber and Ramula, 2013; Guerrero et al., 2016).

Light is an environmental factor known to exert greatest effect on seed germination and shape the regeneration niche of plant species (Benvenuti et al., 2001; Boyd and Van Acker, 2004; Gonçalves et al., 2015). Because light intensity varies temporally and spatially, several plant species have been acclimated showing different levels of plasticity as a mechanism of response to variations in these light regimes (Davidson et al., 2011; Gonçalves et al., 2015). For example, plants that occur in open areas generally show a positive relationship between seed germination and light incidence (e.g. Milberg et al., 1996; Knüsel et al., 2017). In contrast, shade tolerant tree species developed the ability to germinate their seeds under different conditions of light incidence (Simão and Takaki, 2008; Souza and Fagundes, 2014).

Morphological (i.e. size, form, hardness) and physiological (i.e. age, dormancy) seed traits can interact with their regeneration niche variables. Specifically, light can interact with seed size which, in turn, affects both the success of seed germination and seedling establishment (Milberg et al., 2000; Aud and Ferraz, 2012). Generally, smaller seeds germinate faster, but often have lower percentage of germination in comparison with large seeds (Herrera and Laterra, 2008; Souza and Fagundes, 2014). However, small seeds have a higher percentage of germination under high light availability than in darkness conditions (Moles and Westoby, 2006). Large seeds exhibit low sensitivity of light variation, suggesting more plasticity levels to light regimens (Milberg et al., 2000; Fenner and Thompson, 2005).

Light is also the main environmental factors that affects seedling survival and plant growth in different habitats. Because seed size is directly related with the amount of nutritional reserves to be allocated for initial seedling growth (Geritz, 1995; Fagundes et al., 2011), it is possible this affects the success of the recruitment of plant species across different habitats (Milberg et al., 2000; Ribeiro and Borghetti, 2014; Onyekwelu et al., 2012; Souza et al., 2015b). In general, there are positive relationships between plant size and seed biomass (Leishman, 2001; Souza et al., 2016) and larger seeds develop more vigorous seedlings (Delgado et al., 2009; Sõber and Ramula, 2013; Souza and Fagundes, 2014). Hence, plant species that produce larger seeds are favored in predictable, more competitive habitats, while those that develop greater number of small seeds have greater competitive advantage, especially in early successional habitats (Moles and Westoby, 2006; Souza et al., 2015b).

The knowledge of the regeneration niche of phylogenetically related plant species allows us to find relationships between plant species traits and the colonization probability of a particular habitat (Brown et al., 2003; Gallagher et al., 2014; Ferreras et al., 2015). In this study, we evaluated the effects of seed size and light intensity on seed germination, aerial and belowground growth of two congeneric species of Fabaceae (Copaifera langsdorffii Desf. and C. oblongifolia Mart.) to characterize traits of regeneration niche that favor plant species colonization of specific habitat. The two species share a zone of sympatry in Cerrado areas in the north of Minas Gerais State, Brazil. Copaifera langsdorffii is a heliophytic, arboreal species with wide geographic distribution (Fagundes, 2014). Copaifera oblongifolia is a shrub with restricted distribution that grows in open areas such as abandoned pastures, edges of Cerrado fragments and highways. Additionally, this species is invasive in grasslands and agricultural systems, dominating and inhibiting the development of cultivated plants, especially in northern Minas Gerais, Brazil (Fernandes et al., 2018; Coutinho et al., 2019). Therefore, we expect that widely distributed tree species produce heavier seeds and with greater variation in seed size than shrubs that present more restricted geographic distribution. We also predict that, while widely distributed tree species should be capable to germinate and develop under a variable range of environmental conditions, sun-adapted shrubs should germinate and develop better under high light intensity.

Materials and Methods

Study species

Copaifera langsdorffii (Fabaceae) is a heliophytic tropical shrub, reaching up to 30 m height. It is widely distributed in South America, occurring from northern Argentina to southern Bolivia, and can be found in different biomes in Brazil, such as the Cerrado (Brazilian Savanna), Amazon Forest and Atlantic Forest (Souza et al., 2015a; Fagundes, 2014). Copaifera oblongifolia is a shrub of 1-2.5 m height that occurs in disturbed/open areas (i.e. abandoned pastures, edges of forest fragments and highways) of the Cerrado in central Brazil (Coutinho et al., 2019). Since the last decade, C. oblongifolia has caused economic loss for farmers of Minas Gerais State, because it has a great capacity to invade and colonize pastures and agricultural systems, and therefore, has become a dominant species capable to inhibit the development of cultivated plants (Fernandes et al., 2018; Fagundes et al., 2019).

The two Copaifera L. species share a sympatry zone in Cerrado areas in northern Minas Gerais State, Brazil. In this region, both flower from December to February and their fruits mature by September to October, coinciding with the time of their highest deciduousness (Costa et al., 2016; Fernandes et al., 2018). The fruits and seeds of both species have very similar morphology. Upon opening, each fruit exposes a single ellipsoid seed, which is black and shiny and is partially covered by a yellow-orange aril. The seeds of C. langsdorffii have orthodox behavior, with slow germination rate which extends up to 70 days after sowing (Fernandes et al., 2018). The seed size is a key factor for germination and seedling vigor (Souza and Fagundes, 2014). Although other animals attack seeds of C. langsdorffii in the pre-dispersal phase, the seed predation by the weevil Rhinochenus brevicollis Chevrolat represents the main cause of mortality of these seeds (Souza and Fagundes, 2017).

Seed collection

Seeds were collected in September 2015, which represents the period of seed dispersal peak of both species. We collected mature seeds from 17 individuals of Copaifera langsdorffii and 21 individuals of C. oblongifolia in an area of Cerrado vegetation (16˚17'20''S and, 44˚09'02''W) in Mirabela municipality, northern Minas Gerais State, Brazil. This region is characterized by semi-arid climate with well-defined dry and wet seasons. The average annual temperature is 23 ˚C and rainfall is about 1000 mm/year (Fernandes et al., 2018).

We randomly collected a total of 2212 well-formed seeds (malformed seeds and seeds with visual signals of attack by predators or pathogens were eliminated from the sampling) from both two plant species (C. langsdorffii N = 1445; C. oblongifolia N = 1775). Each seed was packed in an individually labeled paper bag and weighed with an analytical scale in order to compare mean and coefficient of variation of seed biomass between both species.

Seed germination tests

Of the total of 2212 seeds collected, we selected 225 of each species (eight to 20 seeds from each individual) to establish the germination experiment. All selected seeds were individually sown in six germination trays with 75 individual cells (2 cm length, 2 cm width and 3 cm height) and vermiculite was used as substrate for seed germination. This experimental design considers that each seed is a statistically independent experimental unit and allows for the comparisons of seed germination percentage among treatments using a binomial error distribution (see Warton and Hui, 2011; Souza and Fagundes, 2014). All seeds were subjected to disinfection by immersion in a 1% sodium hypochlorite solution for two minutes before sowing (Souza et al., 2016).

Finally, each set with two trays of 75 seeds of C. langsdorffii and 75 seeds of C. oblongifolia was placed in its own germination chamber (climatic chamber MA402 Marconi, Piracicaba city, Brazil) with controlled photoperiod, temperature and light intensity as follows: T1 = high light intensity: 12 h/light at 28 ˚C and 12 h/dark at 28 ˚C, 47.5 µmol.m-2s-1 irradiation; T2 = low light intensity: 12 h/light at 28 ˚C and 12 h/dark at 28 ˚C, 23.8 µmol.m-2s-1 irradiation and; and T3 = 24 h/darkness at 28 ˚C). The humidity of the germination substrate was maintained constant daily by adding three ml of distilled water in each germination cell. Seeds were monitored daily to determine seed germination percentage and time required for germination. Seeds were considered germinated when they presented primary root protrusion.

Aerial and belowground plant growth experiment

All seedlings originated from this germination experiment were cultivated at the same experimental conditions of the seed germination test (T1 = high light intensity, T2 = low light intensity and T3 = darkness), in order to evaluate the effects of light intensity, plant species and seed mass on aerial plant growth. We estimated a time required for seedling development and biomass accumulation by seedling. The time for seedling development was calculated as the time elapsed between seed germination until seedling cotyledons fell. All seedlings were removed from the substrate soon after cotyledons fell to determine their dry biomass, and next, all seedlings were individually placed in individually labeled paper bags and transferred to an oven (QUIMIS oven Q31 4M272, Sao Paulo, Brazil) with air circulation at 60 ˚C for 72 hours. After this time, the dry weight of shoot and root systems was determined on an analytical scale. Finally, the ratio of root:shoot biomass (RSR) of all seedlings was calculated as RSR = Wroot/Wshoot, where Wroot is dry mass of the root and Wshoot is dry mass of shoots.

Statistical Analysis

To determine the differences in seed mass and coefficient of variation of seed mass between both species, we built two General Linear Models (GLMs). The models consider the species (C. langsdorffii and C. oblongifolia) as explanatory variable and average seed mass or coefficient of variation of seed mass per individual plant as response variables. The two models were tested with ANOVA, considering the Gaussian error distribution.

Variations in time required for seed germination and percentage of germination among treatments were tested with GLMs followed by ANOVA. For model constructions, time to germination or germination percentage was used as response variables and treatments of light intensity, plant species and seeds mass as explanatory variables. We used the Gaussian distribution when the time to germination was the response variable. Moreover, because data of seed germination are binary (germinated or not germinated), Binomial distribution error (corrected for Quasibinomial) was used in model construction when germination percentage was the response variable. This statistical approach provides a significant gain in analysis power (Warton and Hui, 2011).

We used five different GLMs to compare the effects of light intensity treatments, plant species and seed mass on seedling vigor. The models considered time to cotyledons shedding, total biomass, aerial biomass, root biomass or root:shoot ratio as response variables and light intensity treatments, plant species and seed mass as the explanatory variables. The models were tested with ANOVA, using Gaussian distribution. All significant models that presented an explanatory variable with more than two levels were submitted to a contrast analysis to combine levels that were not significantly different, and separation of significantly different levels.

The Akaike Information Criterion for small samples (AICc) was used for ordered explanatory variables, followed by selection of the more parsimonious model. These procedures were carried out using the MuMIn package in R software (Bartoń, 2015). All models were submitted to residual analysis to check for model fit and suitability of error distribution for each response variable (Crawley, 2007). All analyses were carried out in software R version 3.6.3 (R Core Team, 2020).

Results

We found differences in seed mass between plant species (Residual DF = 36, F = 5.193, P = 0.020). Seeds of Copaifera langsdorffii were 14% heavier than those produced by C. oblongifolia (Fig. 1A). However, the coefficients of variation of seed mass did not differ statistically between both species (Residual DF = 36, F = 1.752, P = 0.194, Fig. 1B).

Figure 1: A. variations in seed mass; B. coefficient of variation of seed mass between Copaifera langsdorffii Desf and C. oblongifolia Martius species in Minas Gerais, Brazil. 

The time required for seed germination varied in function of light intensity and seed mass (Table 1). Contrast analysis showed that time for seed germination was greater in high light intensity treatment, followed by low light intensity, and darkness. Seed mass affected positively time required for seed germination (y = 22.93 + 19.37x).

Table 1: Summary of minimal adequate models showing the effects of explicative variables (light intensity, seed mass and plant species and their interactions) on the variables’ responses (aerial mass, root mass and root:shoot ratio) of seedlings of Copaifera langsdorffii Desf. and C. oblongifolia Mart. in Minas Gerais, Brazil. 

Response variables Explicative variables Error distribution Deviance Df from residue Residual deviance F-values P-values
Time to seed germination Light intensity
Seed mass
Species
Light intensity × seed mass
Light intensity ×
species
Gaussian 12109.1
1248.5
23.1
1960.2
2193.4
352
351
350
348
346
52083
50834
50811
48851
46658
44.899
9.258
0.171
7.268
8.1329
<0.0001
0.0026
0.6793
0.0008
0.0003
Percent seed germination Light intensity
Species
Seed mass
Light intensity ×species
Light intensity × species × seed mass
Binomial 12.3916
4.7335
5.4008
18.746
10.545
447
446
445
443
438
432.37
427.64
422.24
403.49
389.59
6.453
4.930
5.625
9.763
5.491
0.0017
0.0269
0.0181
<0.0001
0.0044

Moreover, the interaction between light intensity and plant species suggests that C. langsdorffii seeds germinate faster under high light intensity (C. langsdorffii: 32.72 ± 1.46, C. oblongifolia: 39.78 ± 1.82, Fig. 2A), while C. oblongifolia seeds required less time to germinate under low light intensity (C. langsdorffii: 36.25 ± 2.02 SE, C. oblongifolia: 27.63 ± 1.38 SE, Fig. 2B) and darkness (C. langsdorffii: 23.27 ± 0.77 SE, C. oblongifolia: 20.86 ± 0.72 SE , Fig. 2C). Finally, the interaction between light intensity and seed mass suggested that seed mass affected the time to seed germination, especially under low light intensity and darkness.

Figure 2: A. relationship between seed mass and time required to seed germination of Copaifera langsdorffii Desf. and C. oblongifolia Mart. plants in high light intensity in Minas Gerais, Brazil; B. low light intensity; C. darkness. 

The explanatory variables light intensity, plant species, seed mass and the interactions: light × plant species and light × plant species × seed mass affected the percentage of seed germination (Table 1). The time for cotyledons shedding varied in function of light intensity and plant species (Table 2).

Table 2: Summary of minimal adequate models showing the effects of explicative variables (light intensity, seed mass and plant species and their interactions) on the variables’ responses (aerial mass, root mass and root:shoot ratio) of seedlings of Copaifera langsdorffii Desf. and C. oblongifolia Mart. in Minas Gerais, Brazil. 

Response variables Explicative variables Error distribution Deviance Df from residue Residual deviance F-values P-values
Time to cotyledon falls Light intensity
Species
Light intensity × species
Gaussian 2249.28
1560.79
329.45
234
233
231
20808
19247
18918
13.733
19.059
2.011
<0.0001
<0.0001
0.1361
Shoot mass Light intensity
Species
Seeds mass
Light intensity ×species
Light intensity ×seed mass
Gaussian 0.049
0.053
0.198
0.001
0.013
232
231
230
228 226
0.408
0.356
1.158
0.157
0.144
43.671
92.869
347.15
0.698
11.385
<0.001
<0.001
<0.001
0.4991
<0.001
Roots mass Species
Seeds mass
Gaussian 0.001
0.006
240 239 0.015
0.014
22.07
104.72
<0.001
<0.001
Root: shoot ratio Species Gaussian 0.036 238 2.123 4.126 0.0433

Contrast analysis showed that seed germination percentage was lower in darkness, but germination percentage did not change between treatments of low and high light intensity (Table 3). In general, seed mass showed a negative relationship with germination percentage (Residual DF = 448, F = 10.264, P <0.001), and seeds of C. oblongifolia (0.83 ± 0.02: mean ± SE) had greater percentage germination than those of C. langsdorffii (0.74 ± 0.03: mean ± SE). However, the significance of the interaction between light intensity × plant species indicate that the effects of light intensity on seed germination is species-dependent. In fact, in high light intensity, germination percentage of C. langsdorffii and C. oblongifolia seeds did not vary (Residual DF = 148, F = 3.625, P = 0.062), but C. oblongifolia seeds presented greater germination percentage than those of C. langsdorffii in low light intensity (Residual DF = 148, F =10.982, P <0.001) and darkness (Residual DF = 148, F = 10.907, P <0.001). Finally, the significance of the interaction of third order suggests the effect of light available on the relationship between germination and seed mass is species-dependent (Fig. 3A-C).

Table 3: Results of contrast analysis showing the effects of different light intensity treatments on response variables (time to seed germination, percent of seed germination, time required to cotyledons shedding, and shoot mass) of Copaifera langsdorffii Desf. and C. oblongifolia Mart. in Minas Gerais, Brazil. *The levels of low light intensity and darkness were grouped and then compared with the high light intensity treatment. 

Response Interaction levels (mean ± standard error) Deviance Residual DF F P
variables Darkness Low light High light
Time to seed 21.93 ± 0.45 31.42 ± 1.27 5586.3 250 45.306 <0.001
germination 31.42 ± 1.27 35.87 ± 1.27 1125.9 221 5.101 0.024
Percent seed 0.80 ± 0.03 0.69 ± 0.03 5.082 298 5.048 0.025
germination 0.88 ± 0.04 0.80 ± 0.03 2.972 298 2.953 0.087
Time to 33.15 ± 1.02 29.72 ± 1.19 589.96 140 6.793 0.010
cotyledon falls 36.20 ± 0.98 33.15 ± 1.02 391.21 170 4.537 0.035
Shoot mass 0.092 ± 0.003 0.091 ± 0.004 0.0006 170 0.051 0.821
0.092 ± 0.003* 0.124 ± 0.006 0.051 239 29.005 <0.001

Figure 3: A. effects of seed mass on percent of seed germination of Copaifera langsdorffii Desf. and C. oblongifolia Mart. plants in high light intensity in Minas Gerais, Brazil; B. low light intensity; C. darkness. 

Contrast analysis showed that the time to cotyledons shedding was different among the three treatments of light intensity, being greater in darkness, followed by low light intensity and high light intensity treatments (Table 3). Moreover, the time to cotyledons shedding varied between species (Residual DF = 239, F = 24.27, P <0.001), with cotyledons of C. langsdorffii and C. oblongifolia presenting a mean delay of 30.24 ± 1.3 SE and 36.25 ± 1.1 SE days to their fall, respectively (Fig. 4).

Figure 4: Variations in time required to cotyledons fall (mean ± ED) of Copaifera langsdorffii Desf. and C. oblongifolia Mart. seedling in high light intensity, low light intensity, and darkness in Minas Gerais, Brazil. 

The shoot dry mass of seedlings was affected by light intensity, plant species, seed mass, and by interaction light intensity × seed mass (Table 2). Shoot dry mass of C. langsdorffii seedlings was 29.4% greater than dry mass of those of C. oblongifolia (Residual DF = 239, F = 44.52, P <0.001). According with contrast analysis, seedling growth under higher light intensity showed greater shoot dry mass in comparison with seedling growth on low light intensity and darkness (Table 3). Furthermore, shoot dry mass showed a positive relationship with seed mass (Residual DF = 239, F = 322.83, P <0.001, y = 0.002 + 0.305x). Finally, the significant interaction between light intensity and seed mass suggests that curve slopes vary among the treatments of light intensity. In fact, the contrast analyses suggest that the curve slope of low and high light intensity treatments did not vary between them (Residual DF = 169, F = 0.6460, P = 0.422), but was greater than that of darkness treatment (Residual DF = 237, F = 25.783, P <0.01) (Fig. 5).

Figure 5: A. relationship between seed mass and shoot dry mass of Copaifera langsdorffii Desf.; B. C. oblongifolia Mart. seedling in high light intensity, low light intensity, and darkness in Minas Gerais, Brazil. 

Root dry mass of seedlings was affected by plant species and seed mass (Table 2). Root mass of C. langsdorffii seedlings was 22.2% greater than root mass of C. oblongifolia. Besides, we found a positive relationship between seedling mass and seed mass (Fig. 6A). Finally, we observed that root:shoot biomass ratio of C. oblongifolia was approximately 13.2% greater than root:shoot biomass of C. langsdorffii (Table 2, Fig. 6B).

Figure 6: A. relationship between seed mass and root dry mass of Copaifera langsdorffii Desf. and C. oblongifolia Mart. seedling; B. variation in root:shoot ratio of C. langsdorffii Desf. and C. oblongifolia Mart. seedlings in Minas Gerais, Brazil. 

Discussion

Our results showed that light intensity and seed size were important factors that interact to shape the regeneration niche of Copaifera langsdorffii and C. oblongifolia. It is generally accepted that the niche of an adult plant species reflects its regenerative niche (Quero et al., 2009). According to this approach, the wide geographical distribution of C. langsdorffii suggests that its seeds can germinate successfully under a wide range of environmental conditions as observed experimentally in our study. On the other hand, C. oblongifolia occurs in open areas under conditions of high incidence of sun radiation. However, in our study, we found that its seeds had high germinability under low light intensity and darkness. These different physiological responses between seeds and adults of C. oblongifolia suggest a regenerative-adult niche conflict during the ontogenetic stages of these plant species. This agrees with other studies that have shown that seeds of some species of weeds adapted to environments of high incidence of solar radiation present high levels of seed germination in the absence of light or after being buried in the soil (Ohadi et al., 2010; Batlla and Benech-Arnold, 2014; Wang et al., 2016; Hu et al., 2017).

Seed mass showed a positive relationship with the time required for seed germination and conversely, presented a negative relationship with germination percentage in both plant species. Seed size is directly related with volume ratio and coat thickness of the seeds. Hence, greater seeds have low capacity of water absorption, resulting in increase of time for germination (Souza et al., 2015b). In contrast, increase in time to seed germination can raise the probability of attack by microorganisms, resulting in loss of seed viability (Fagundes et al., 2011; Souza and Fagundes, 2014). This fact may explain the negative relationship between seed size and germination percentage observed in this study. In fact, four saprophytic fungus species (Aspergillus niger P.E.L. Van Tieghem, Aspergillus flavus Link, Mucor sp. and Rhizopus stolonifer Vouillemin) were observed developing on seeds during the final phases of the seed germination test.

Following germination, light had a positive effect on time required to cotyledons shedding. In the absence of light, all nutrients available for seedling growth come from cotyledon reserves as photosynthesis is light limited. Therefore, we can expect that seedlings growing under low light intensity and darkness are more dependent of cotyledon reserve, exhausting this resource early. However, despite C. langsdorffii had heavier seeds, which implies higher cotyledon reserves than C. oblongifolia, the seedlings of C. oblongifolia retained their cotyledons for a longer time. These results suggest that C. langsdorffii can use cotyledon reserves more intensely in order to reach greater initial growth. In several seedlings of arboreal species, a fast-initial growth generally is considered as an adaptive strategy which promotes greater light capture at understory level, increasing the competitive ability and therefore, more probability of survival in environments of low light availability (Aud and Ferraz, 2012).

Seedlings of both species, under conditions of high light intensity, presented greater shoot mass than those subjected to low light intensity and darkness, suggesting that both study species share the same needs for light availability (i.e. high light intensity) for initial development. Therefore, similar physiological processes should be regulating this pattern of initial development in both species. Moreover, seed mass affected positively aerial plant growth (i.e. seedlings shoot mass), where seedlings of C. langsdorffii had more mass than seedlings of C. oblongifolia. Our results support the general predictions that seeds with greater mass develop larger and vigorous seedlings (He et al., 2007). The interspecific variation in seed/seedling size observed in this study probably reflects the adult niche of each plant species. In fact, plant species producing larger seeds have more reserves, having vigorous seedlings with greater competitive ability in predictable habitats. In contrast, plants developing smaller seeds should present greater percentage of germination and germinate more quickly in order to colonize more efficiently habitats in initial stages of succession (Moles and Westoby, 2006; Sõber and Ramula, 2013).

Root dry mass of both species was not affected by light intensity but was positively affect by seed mass, suggesting that initial growth of root system is dependent of seed reserves. Moreover, greater root mass of C. langsdorffii probably is associated with greater seed mass of this species. Finally, we observed that C. oblongifolia allocated proportionally more resource to root development than C. langsdorffii. It is important to highlight that resource allocation for roots or shoots is seed size dependent and smaller seeds must allocate proportionally a greater amount of resource to root development (Yang and Midmore, 2005). High investment in the root allows the root system to reach deeper levels of substrate with more water and nutrients, increasing the seedling survivorship with poor cotyledon reserves in stressful environmental conditions (Canadell and Zedler, 1995).

We conclude that light represents a key resource that interacts with seed mass to shape the regenerative niche of two Copaifera species. This information allows the understanding of the factors that affect the distribution of adult plants. Our results show the importance of seed size and light availability as factors affecting germination rates, as well as aerial and below ground growth of two Copaifera species. In the case of C. langsdorffii, our study shows experimental evidence of the importance of these factors for their ability to colonize different environments, which explains their wide geographic distribution. Adult shrubs have restricted distribution and occur in disturbed areas under high level of light incidence, while their seeds present high germinability under available low light. In order to justify this apparent seed-adult conflict and local pattern of plant distribution, we hypothesize that the technique of revolving soil before sowing of seed crops could bury and stimulate seed germination of the seed bank of C. oblongifolia.

Acknowledgements

The authors thank Postgraduate Program of Biodiversity (PPG-BURN) of Unimontes and the Projeto Jequitaí (CODEVASF/SEAPA-MG) for the logistical support during field work.

Literature cited

Aud, F. F. and I. D. K. Ferraz. 2012. Seed size influence on germination responses to light and temperature of seven pioneer tree species from the Central Amazon. Anais da Academia Brasileira de Ciências 84(3): 759-766. DOI: https://doi.org/10.1590/S0001-37652012000300018 [ Links ]

Bartoń, K. 2015. MuMIn: Multi-Model Inference. R package version 1.15.1. 311. http://CRAN.R-project.org/package=MuMIn (consulted June, 2019). [ Links ]

Batlla, D. and R. L. Benech-Arnold. 2014. Weed seed germination and the light environment: implications for weed management. Weed Biology and Management 14(2): 77-87. DOI: https://doi.org/10.1111/wbm.12039 [ Links ]

Benvenuti, S., M. Macchia and S. Miele. 2001. Light, temperature, and burial depth effects on Rumex obtusifolius seed germination and emergence. Weed Research 41(2): 177-186. DOI: https://doi.org/10.1046/j.1365-3180.2001.00230.x [ Links ]

Boyd, N. and R. Van Acker. 2004. Seed germination of common weed species as affected by oxygen concentration, light, and osmotic potential. Weed Science 52(4): 589-596. DOI: https://doi.org/10.1614/WS-03-15R2 [ Links ]

Brown, J., N. J. Enright and B. P. Miller. 2003. Seed production and germination in two rare and three common co-occurring Acacia species from south-east Australia. Austral Ecology 28(3): 271-80. DOI: https://doi.org/10.1046/j.1442-9993.2003.t01-4-01287.x [ Links ]

Buckley, Y. M., P. Downey, S. V. Fowler, R. Hill, J. Memmot, H. Norambuena, M. Pitcairn, R. Shaw, A. W. Sheppard, C. Winks, R. Wittenberg and M. Rees. 2003. Are invasives bigger? A global study of seed size variation in two invasive shrubs. Ecology 84(6): 1434-1440. DOI: https://doi.org/10.1890/0012-9658(2003)084[1434:AIBAGS]2.0.CO;2 [ Links ]

Canadell, J. and P. H. Zedler. 1995. Underground structures of woody plants in mediterranean ecosystems of Australia, California, and Chile. In: Arroyo M. T. K., P. H. Zedler and M. D. Fox (eds.). Ecology and Biogeography of mediterranean Ecosystems in Chile, California, and Australia. Springer-Verlag. New York, USA. Pp. 177-210. DOI: https://doi.org/10.1007/978-1-4612-2490-7_8 [ Links ]

Costa, F. V., A. C. M. Queiroz, M. L. B. Maia, R. Reis-Junior and M. Fagundes. 2016. Resource allocation in Copaifera langsdorffii (Fabaceae): how supra-annual fruiting affects plant traits and herbivory? Revista de Biología Tropical 64(2): 507-520. DOI: https://doi.org/10.15517/rbt.v64i2.18586 [ Links ]

Coutinho, R. D., P. Cuevas-Reyes, G. W. Fernandes and M. Fagundes. 2019. Community structure of gall-inducing insects associated with a tropical shrub: regional, local and individual patterns. Tropical Ecology 60: 74-82. DOI: https://doi.org/10.1007/s42965-019-00010-7 [ Links ]

Crawley, M. J. 2007. The R book. Imperial College London at Silwood Park. London, UK. Pp. 527-528. [ Links ]

Davidson, A. M., M. Jennionsand A. B. Nicotra. 2011. Do invasive species show higher phenotypic plasticity than native species and, if so, is it adaptive? A meta-analysis. Ecology Letters 14(4): 419-431. DOI: https://doi.org/10.1111/j.1461-0248.2011.01596.x [ Links ]

Delgado, J. A., M. D. Jiménez and A. Gómez. 2009. Samara size versus dispersal and seedling establishment in Ailanthus altissima (Miller) Swingle. Journal of Environmental Biology 30(2): 183-186. [ Links ]

Fagundes, M. 2014. Galling Insect Community associated with Copaifera langsdorffii (Fabaceae): the role of Inter- and Intra-annual host plant phenology. In: Fernandes, G. W. and J. C. Santos (eds.). Neotropical Insect Galls. Springer. Dordrecht, The Netherlands. Pp. 163-174. DOI: https://doi.org/10.1007/978-94-017-8783-3_11 [ Links ]

Fagundes, M., M. G. Camargos and F. V. Costa. 2011. A Qualidade do solo afeta a germinaçao das sementes e o desenvolvimento das plântulas de Dimorphandra mollis Benth. (Leguminosae: Mimosoidae). Acta Botanica Brasilica 25(4): 908-915. DOI: https://doi.org/10.1590/S0102-33062011000400018 [ Links ]

Fagundes, M., E. M. Barbosa, J. B. B. S. Oliveira, B. G. S. Brito, K. T. Freitas, K. F. Freitas and R. Reis-Junior. 2019. Galling inducing Insects associated with a tropical shrub: the role of resource concentration and species interactions. Ecología Austral 29(1): 12-19. DOI: https://doi.org/10.25260/ea.19.29.1.0.751 [ Links ]

Fenner, M. and K. Thompson. 2005. The ecology of seeds. Cambridge University Press. Cambridge, UK. DOI: https://doi.org/10.1017/CBO9780511614101 [ Links ]

Fernandes, E. G., E. M. Valério, K. L. R. Duarte, L. M. N. Capuchinho and M. Fagundes. 2018. Fungi associated with Copaifera oblongifolia (Fabaceae) seeds: occurrence and possible effects on seed germination. Acta Botanica Brasilica 33(1): 179-183. DOI: https://doi.org/10.1590/0102-33062018abb0100 [ Links ]

Ferreras, A. E., G. Funes and L. Galetto. 2015. The role of seed germination in the invasion process of honey locust (Gleditsia triacanthos L., Fabaceae): comparison with a native confamilial. Plant Species Biology 30(2): 126-136. DOI: https://doi.org/10.1111/1442-1984.12041 [ Links ]

Gallagher, R. V., R. P. Randall and M. R. Leishman. 2014. Trait differences between naturalized and invasive plant species independent of residence time and phylogeny. Conservation Biology 29(2): 360-369. DOI: https://doi.org/10.1111/cobi.12399 [ Links ]

Geritz, S. A. 1995. Evolutionarily stable seed polymorphism and small-scale spatial variation in seedling density. The American Naturalist 146(5): 685-707. DOI: https://doi.org/10.1086/285820 [ Links ]

Gonçalves, J. F. C., D. C. S. Barreto, U. M. Santos-Junior, A. V. Fernandes, P. T. B. Sampaio and M. S. Buckeridge. 2015. Growth, photosynthesis and stress indicators in young rosewood plants (Aniba rosaedora Ducke) under different light intensity. Brazilian Journal of Plant Physiology 17(3): 325-334. DOI: https://doi.org/10.1590/S1677-04202005000300007 [ Links ]

Grubb, P. J. 1977. The maintenance of species-richness in plant communities: the importance of the regeneration niche. Biological Reviews of the Cambridge Philosophical Society 52(1): 107-145. DOI: https://doi.org/10.1111/j.1469-185X.1977.tb01347.x [ Links ]

Guerrero, P. C., D. Mardones, N. Viveros, F. T. Peña-Gómez and R. O. Bustamante. 2016. Evolutionary change in the germination niche between related species within Neoporteria clade (Cactaceae) is idiosyncratic to habitat type. Gayana Botánica 73(2): 177-182. DOI: https://doi.org/10.4067/S0717-66432016000200177 [ Links ]

He, Y., M. Wang, S. Wen, Y. Zhang, T. Ma and G. Du. 2007. Seed size effect on seedling growth under different light conditions in the clonal herb Ligularia virgaurea in Qinghai-Tibet Plateau. Acta Ecologica Sinica 27(8): 3091-3108. DOI: https://doi.org/10.1016/S1872-2032(07)60063-8 [ Links ]

Herrera, L. P. and P. Laterra. 2008. Do seed and microsite limitation interact with seed size in determining invasion patterns in flooding Pampa grasslands? In: Van der Valk, A. G. (ed.). Herbaceous Plant Ecology. Springer. Dordrecht, The Netherlands. Pp. 93-105. DOI: https://doi.org/10.1007/978-90-481-2798-6_8 [ Links ]

Hu, X. W., J. Pan, D. D. Min, Y. Fan, X. Y. Ding, S. G. Fan, C. C. Baskin and J. M. Baskin. 2017. Seed dormancy and soil seedbank of the invasive weed Chenopodium hybridum in north-western China. Weed Research 57(1): 54-64. DOI: https://doi.org/10.1111/wre.12237 [ Links ]

Jelbert, K., I. Stott, R. A. McDonald and D. Hodgson. 2015. Invasiveness of plants is predicted by size and fecundity in the native range. Ecology and Evolution 5(10):1933-1943. DOI: https://doi.org/10.1002/ece3.1432 [ Links ]

Knüsel, S., A. De Boni, M. Conedera, P. Schleppi, J.-J. Thormann, M. Frehner and J. Wunder. 2017. Shade tolerance of Ailanthus altissima revisited: novel insights from southern Switzerland. Biological Invasions 19(2): 455-461. DOI: https://doi.org/10.1007/s10530-016-1301-4 [ Links ]

Leishman, M. R. 2001. Does the seed size/number trade-off model determine plant community structure? An assessment of the model mechanisms and their generality. Oikos 93(2): 294-302. DOI: https://doi.org/10.1034/j.1600-0706.2001.930212.x [ Links ]

Longas, M. M., G. R. Chantre and M. R. Sabbatini. 2016. Soil nitrogen fertilisation as a maternal effect on Buglossoides arvensis seed germinability. Weed Research 56(6): 462-469. DOI: https://doi.org/10.1111/wre.12229 [ Links ]

Milberg, P., L. Andersson and A. Noronha. 1996. Seed germination after short-duration light exposure: implications for the photo-control of weeds. Journal of Applied Ecology 33(6): 1469-1478. DOI: https://doi.org/10.2307/2404785 [ Links ]

Milberg, P., L. Andersson and K. Thompson. 2000. Large-seeded spices are less dependent on light for germination than small-seeded ones. Seed Science Research 10(1): 99-104. DOI: https://doi.org/10.1017/S0960258500000118 [ Links ]

Moles, A. T. and M. Westoby. 2006. Seed size and plant strategy across the whole life cycle. Oikos 113(1): 91-105. DOI: https://doi.org/10.1111/j.0030-1299.2006.14194.x [ Links ]

Murray, B. R., B. P. Kelaher, G. C. Hose and W. F. Figueira. 2005. A meta-analysis of the interspecific relationship between seed size and plant abundance within local communities. Oikos 110(1): 191-195. DOI: https://doi.org/10.1111/j.0030-1299.2005.13943.x [ Links ]

Ohadi, S., H. R. Mashhadi, R. Tavakkol-Afshari and M. B. Mesgaran. 2010. Modelling the effect of light intensity and duration of exposure on seed germination of Phalaris minor and Poa annua. Weed Research 50(3): 209-217. DOI: https://doi.org/10.1111/j.1365-3180.2010.00769.x [ Links ]

Onyekwelu, J. C., B. Stimm, R. Mosandl and J. A. Olusola. 2012. Effects of light intensities on seed germination and early growth of Chrysophyllum albidum and lrvingia gabonensis seedlings. Nigerian Journal of Forestry 42(2): 58-67. [ Links ]

Poorter, L. 2007. Are species adapted to their regeneration niche, adult niche, or both? The American Naturalist 169(4): 433-442. DOI: https://doi.org/10.1086/512045 [ Links ]

Quero, J. L., L. Gómez-Aparicio, R. Zamora and F. T. Maestre. 2009. Shifts in the regeneration niche of an endangered tree (Acer opalus ssp. granatense) during ontogeny: Using an ecological concept for application. Basic and Applied Ecology 9(6): 635-644. DOI https://doi.org/10.1016/j.baae.2007.06.012 [ Links ]

R Core Team. 2020. R: A language and environment for statistical computing, version 3.6.3. R Foundation for Statistical Computing. Vienna, Austria. http://www.R-project.org/Links ]

Ranieri, B. D., F. F. Pezzini, K. S. Garcia, A. Chautems and M. G. C. França. 2012. Testing the regeneration niche hypothesis with Gesneriaceae (tribe Sinningiae) in Brazil: Implications for the conservation of rare species. Austral Ecology 37(1): 125-133. DOI: https://doi.org/10.1111/j.1442-9993.2011.02254.x [ Links ]

Ribeiro, L. C. and F. Borghetti. 2014. Comparative effects of desiccation, heat shock and high temperatures on seed germination of savanna and forest tree species. Austral Ecology 39(3): 267-278. DOI: https://doi.org/10.1111/aec.12076 [ Links ]

Simão, E. and M. Takaki. 2008. Effect of light and temperature on seed germination in Tibouchina mutabilis (Vell.) Cogn. (Melastomataceae). Biota Neotroprica 8(2): 63-68. DOI: https://doi.org/10.1590/S1676-06032008000200006 [ Links ]

Sõber, V. and S. Ramula. 2013. Seed number and environmental conditions do not explain seed size variability for the invasive herb Lupinus polyphyllus. Plant Ecology 214(6): 883-892. DOI: https://doi.org/10.1007/s11258-013-0216-8 [ Links ]

Souza, M. L. and M. Fagundes. 2014. Seed size as key factor in germination and seedling development of Copaifera langsdorffii (Fabaceae). American Journal of Plant Sciences 5(17): 2566-2573. DOI: https://doi.org/10.4236/ajps.2014.517270 [ Links ]

Souza, M. L. and M. Fagundes. 2017. Seed predation of Copaifera langsdorffii (Fabaceae): a tropical tree with supra-annual fruiting. Plant Species Biology 32(1): 66-73. DOI: https://doi.org/10.1111/1442-1984.12128 [ Links ]

Souza, M. L., R. R. Solar and M. Fagundes. 2015a. Reproductive strategy of Copaifera langsdorffii (Fabaceae): more seeds or better seeds? Revista de Biología Tropical 63(4): 1161-1167. [ Links ]

Souza, M. L., D. P. Silva, L. B. Fantecelle and J. P. Lemos Filho. 2015b. Key factors affecting seed germination of Copaifera langsdorffii, a Neotropical tree. Acta Botanica Brasilica 29(4): 473-477. DOI: https://doi.org/10.1590/0102-33062015abb0084 [ Links ]

Souza, A. D. G., O. J. Smiderle, V. M. Spinelli, R. O. D. Souza and V. J. Bianchi. 2016. Correlation of biometrical characteristics of fruit and seed with twinning and vigor of Prunus persica rootstocks. Journal of Seed Science 38(4): 322-328. DOI: https://doi.org/10.1590/2317-1545v38n4164650 [ Links ]

Wang, H., B. Zhang, L. Dong and Y. Lou. 2016. Seed germination ecology of Catch weed Bedstraw (Galium aparine). Weed Science 64(4): 634-641. DOI: https://doi.org/10.1614/WS-D-15-00129.1 [ Links ]

Warton, D. and F. Hui. 2011. The arcsine is asinine: the analysis of proportions in ecology. Ecology 92(1): 3-10. DOI: https://doi.org/10.1890/10-0340.1 [ Links ]

Yang, Z. and D. J. Midmore. 2005. Modeling plant resource allocation and growth partitioning in responses to environmental heterogeneity. Ecological Modelling 181(1): 59-77. DOI: https://doi.org/10.1016/j.ecolmodel.2004.06.023 [ Links ]

Author contributions

MF, PCR, WSA and MLF contributed to the design and original ideas of the study and wrote the manuscript. HMV, MAP, LAD, RRJ contributed to the data collection in the field and performed the statistical analysis. JSA and HTD contributed to the data collection in the laboratory and experimental design. All authors reviewed and approved the final manuscript.

Funding

The Coordination of Scientific Research and academic secretary (Universidad Michoacana de San Nicolás de Hidalgo, UMSNH), awarded a research grant to P. Cuevas-Reyes. This project was supported by Fundação de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG APQ 01926.11) and Programa de Pós-Graduação Stricto Sensu em Biodiversidad e Uso dos Recursos Naurais (BURN) da UNIMONTES. The Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) has awarded a scholarship for H. T. Santos' studies of Master in Biodiversity of PPG-BURN (State University of Montes Claros).

Received: November 21, 2019; Revised: February 18, 2020; Accepted: June 04, 2020; Published: June 22, 2020

*Author for correspondence: pcragalla@gmail.com

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License