Performance and genetic variation in a provenance test of Araucaria cunninghamii

Desempenho e variação genética em teste de procedência de Araucaria cunninghamii

Abstract:

The objective of this work was to assess the genetic variability of Araucaria cunninghamii in a provenance test and to estimate the genetic gains in its wood production, based on different selection intensities. The trial was established in Luís Antônio, in the state of São Paulo, Brazil, using open-pollinated seed from Queensland, Australia. The experimental design used was a randomized complete block with six replicates, and four plants per plot. Diameter at breast height (DBH), stem form, and survival were measured at 29 years after planting. Significant differences were detected among provenances. The coefficient of genotypic variation between provenances was high (60%) for DBH and stem form. The mean values for DBH and stem form were 23.21 cm and 4.50, respectively. The provenances Langkelly Creek, Brooweena L.A., Yarraman, and St. Agnes showed the best performance for DBH, and Imbil Seed Orchard, Brooweena L.A, St. Agnes, St. John, and Yarraman, for stem form. Genetic gains ranged from 0.5 to 24.8% for DBH, and from 0.9 to 3.5% for stem form.

Index terms:
conifer; genetic parameters; tree breeding

Resumo:

O objetivo deste trabalho foi avaliar a variabilidade genética de Araucaria cunninghamii, em teste de procedência, e estimar ganhos genéticos para a produção de sua madeira, com base em diferentes intensidades de seleção. O experimento foi estabelecido em Luís Antônio, no estado de São Paulo, Brasil, com sementes de polinização aberta coletadas em Queensland, Austrália. O delineamento experimental utilizado foi o de blocos ao acaso, com seis repetições e quatro plantas por parcela. O diâmetro à altura do peito (DBH), a forma do fuste e a sobrevivência foram medidos 29 anos após o plantio. Diferenças significativas foram detectadas entre as procedências. O coeficiente de variação genotípica foi alto (60%) para DBH. Os valores médios de DBH e forma do fuste foram de 23,21 cm e 4,50, respectivamente. As procedências Langkelly Creek, Brooweena L.A., Yarraman e St. Agnes apresentaram melhor desempenho em DBH, e Imbil Seed Orchard, Brooweena L.A., St. Agnes, St. John e Yarraman, em forma do fuste. Os ganhos estimados com a seleção variaram de 0,5 a 24,8%, para DBH, e de 0,9 a 3,5%, para forma do fuste.

Termos para indexação:
conífera; parâmetros genéticos; melhoramento florestal

Introduction

In Brazil, the importation of forest genetic resources from other countries, mainly Australia and North America, are essential for the maintenance of the forest-based production chain (Brockerhoff et al., 2013). The search for new or alternative forest species for timber production has intensified in recent years. Large-scale timber producers are now looking for tropical and subtropical species with as yet untapped potential (Nambiar, 2019). For instance, the Araucariaceae family includes more than 17 species that occur throughout Australia, one of which is Araucaria cunninghamii Aiton ex D. Don.

Recently, timber companies have shown interest in commercial exploitation of this species, as it shows silvicultural traits suitable for wood production, but it can also be used in the long-fiber pulp industry (Setiadi & Fauzi, 2015). The new commercial interest in this species logging has stimulated the development of new production technologies. Recent studies have shown development in the physicochemical characterization of its wood (McGavin et al., 2019; Fitzgerald & McGavin, 2020). The improvement of this species cultivation techniques has also been observed in different aspects (Sarmast et al., 2012; Lin et al., 2016; Matsabisa et al., 2019; Wang et al., 2020). In comparation to other more commercially valuable species such as loblolly pine and slash pine (Pinus taedaL. andPinus elliottii, respectively), there has been less effort toward developing and deploying genetically improved and more productive individuals (Castillo et al., 2018). However, studies have determined that the genetic variation found in the Araucaria species is similar to that found in other southern pines, making them a suitable species for genetic breeding programs (Castillo et al., 2018). Thus, the study of germplasms of this species in Brazil may contribute to diversify forest plantations as a new species option for specific regions, as well as for the development of interspecific hybrids with other species of the same genus. Therefore, the characterization of provenance tests, as well as a selection of more productive individuals near planting sites is strategic for its use and conservation of germplasm.

Most of the genotypes used for wood production in South Africa (Congo) and Australia originated from Queensland, where the planting area of the species has reached 50,000 ha (Manson et al., 2013). In Australia, several provenances of Papua New Guinea (PNG) have been introduced in north and south Queensland in the past 20 years. Efforts to breed a hybrid between the most advanced genotype of south Queensland with the best genotypes from north Queensland and PNG provenances of the species showed promising results (Dieters et al., 2007). Genetic gains have been achieved in new north Queensland plantations only with the development of genetic resources studies. Clonal seed orchard composed of selected trees from a population of individuals from PNG and north Queensland and small stands of second-generation PNG and first-generation (F1) hybrid families are already well established in the region (Dieters et al., 2007).

In Brazil, it is necessary to verify if the introduced genotypes are enough to advance the species breeding program. The provenance test may be used at first for the development of interspecific hybrids and small plant establishments, in companies that are interested in diversifying their forests and have various product purposes. Therefore, the more productive individuals within several provenances should be selected (Sousa et al., 2018), as well as propagated either by seeds or clonally. These forest plantations may generate more gains for timber yield, improved cost-effectiveness, and increased plantation profitability (Nichols & Vanclay, 2012).

The objective of this work was to assess the genetic variability in an A. cunninghamii provenance test and estimate genetic gains in wood production based on different selection intensities.

Materials and Methods

The provenance test was established with a seed mix from ten open-pollinated A. cunninghamii provenances from Queensland state, Australia (Table 1). Seed from each mother were mixed to represent their geographical origin and sent to the Instituto Florestal de São Paulo, in 1984, by the Forest Department of Brisbane, Australia (Sebbenn et al., 2005). The provenances Benarkin, St. Agnes, Brooweena L.A., St. John, Jimna, Bulburin, Clifford, and Langkelly Creek were collected from natural populations, while the provenance Imbil Seed Orchard is a seed orchard, and Yarraman is a commercial stand. The provenance test was planted in November 1985, at Luiz Antônio Experimental Station, in the municipality of Luiz Antônio (21º40'S, 47º49'W, at 550 m altitude), in the state of São Paulo, Brazil. The climate of the site is tropical (Cwa), according to the Köppen-Geiger’s classification, with mean annual temperatures at 22.7ºC in the hottest month and 17.2ºC in the coldest month, dry winters, and 1,280 mm average annual rainfall (Sebbenn et al., 2005). The relief of the site is flat with a slope of about 5%, and the soil is classified as Latossolo Vermelho, according to the Brazilian Soil Classification System (Santos et al., 2018), i.e., an Oxisol (Soil Survey Staff, 2014). The experiment was established using a randomized complete block design, with ten treatments (provenances), six replicates (blocks), and four plants spaced at 3 x 2 m per plot. The evaluated traits were: diameter at breast height (DBH); survival; and stem form. The trait stem form was assessed visually and classified according to a pre-established scale, defined by Guerra et al. (2009) as: 1, full tortuosity of the stem; 2, accentuated tortuosity below 1.30 m; 3, accentuated tortuosity above 1.30 m; 4, minimal tortuosity throughout; and 5, no tortuosity.

Table 1.
Provenance name, number of seed trees from which seed were collected, latitude and longitude, altitude, and mean annual precipitation of the original site of Araucaria cunninghamii provenances in Australia.

Provenance	Number of seed trees	Latitude S	Longitude E	Altitude (m)	Mean annual precipitation (mm)	Survival rate (%)
Benarkin	10	26o 55'	152o 09'	440	992
St. Agnes	42	25o 20'	151o 50'	280	930
Brooweena L.A.	20	25o 32'	150o 13'	122	1056
St. John	20	27° 14'	152° 40'	400	1200
Jimna	20	26o 42'	152o 20'	600	817
Bulburin	-	24o 25'	151o 30'	540	1447
Clifford	10/20	24o 40'	151o 00'	810	1200
Imbil Seed Orchard	20	26o 27'	152o 40'	105	1200
Yarraman	20	26o 51'	152o 10'	435	1000
Langkelly Creek	20	13o 54'	143o 15'	500	1200
Total						79

The estimates of the genetic parameters were obtained by the maximum likelihood/best unbiased linear prediction (REML/BLUP) method, using the Selegen-REML/BLUP software (Resende, 2016). The traits were analyzed using a univariate additive mixed linear model, based on the statistical model: $y=Xr+Zg+Wp+e$; where: y is the data vector; r is the vector of the replicate effects (assumed to be fixed) added to the general mean; g is the vector of genotypic effects of provenances (assumed to be random); p is the vector of plot effects; and e is the vector of errors or residuals (random). Capital letters represent the incidence matrices for these effects. An analysis of deviance was performed for the random effects. The random effects of the mixed model with unbalanced data were tested using the likelihood ratio test (LRT). The estimated variance components were: among provenance variance (σ²_p), plot variance (σ²_c), and residual variance (σ²_e). From the variance components, the parameters were estimated as follows.

The individual heritability in the broad sense, which reflects the total genotypic effects of the provenances:

$H_p^2=\frac{{\sigma }_p^2}{{\sigma }_p^2+{\sigma }_c^2+{\sigma }_e^2}$

The provenance mean heritability:

$H_{pm}^2=\frac{\left(\frac{1}{4}\right){\sigma }_p^2}{\left(\frac{1}{4}\right){\sigma }_p^2+\frac{{\sigma }_c^2}{r}+\frac{\left(0.75{\sigma }_p^2+{\sigma }_e^2\right)}{nr}}$

in which: n is the number of plants per plot; and r is the number of replicates (blocks).

Selection accuracy:

$r_{\stackrel{⌢}{a}a}=\sqrt{h_{pm}^2}$

Coefficient of determination of the plot effects:

$C_c^2=\frac{{\sigma }_c^2}{{\sigma }_p^2+{\sigma }_c^2+{\sigma }_e^2}$

In order to select superior genotypes for breeding programs and commercial plantations, two selection strategies were simulated from the ranking of the additive genetic value: the first selection was based on individual ranking, with nine selection intensities (5, 7.5, 10, 12.5, 15, 17.5, 20, 40, 50%); and the second selection was carried out within each provenance with two selection intensities (25 and 50%; 1 and 2 individuals within the provenance, respectively). The selection was carried out for DBH and stem form. The genetic gain was estimated as a percentage: $Gs=\left[\left({\displaystyle \sum a+\mu }\right)/\mu \right]\times 100$, in which: a + μ corresponds to the additive genetic value of the selected individual, and μ corresponds to the overall mean of the experiment for the DBH and stem form traits.

Results and Discussion

Out the 240 planted individuals, 78% survived at 29 years after planting (Table 1). This result indicates a good adaptation to the site, considering that it is an exotic species that was not previously domesticated through selection in breeding programs for the study area (Kabrick et al., 2015).

The provenance effect was significant for DBH based on the analysis of deviance (Table 2). The population showed a considerable phenotypic variation among individuals for both tested traits. The values observed for the coefficient of phenotypic variation suggest the potential use of the trial for improvement programs. This variation is a reflection of the natural variation in populations of the species and indicates that the seed sampling was effective in capturing part of the total variance in natural populations (Inza et al., 2018). These values were higher than those observed for growth traits of A. angustifoliaprovenances and progenies (10.2%), observed by Silva et al. (2018) for the same traits of the present study. This shows that A. cunninghamii can have a higher variability to be exploited than some populations of native species. The coefficient of determination of the plot effects was low for the two traits (<0.1), showing that there was no environmental influence within blocks and plots.

Table 2.
Analysis of deviance and estimates of the genetic parameters for diameter at breast height (DBH) and stem form in Araucaria cunninghamii provenances at 29 years of age.

Parameter	DBH (cm)	Stem form
Likelihood ratio test (LRT)	10.15**	0.13
Phenotypic mean (μ ± SD)	23.21±8.53	4.50±0.75
Coefficient of variation (CV, %)	36.5	16.6
Minimum/maximum values	7.96/48.0	1.07/5.0
Coefficient of determination of plot effects (C 2p)	0.09	0.01
Broad-sense individual heritability (H 2p ± SD)	0.09±0.06	0.04±0.0)
Provenance mean heritability (H 2pm)	0.65	0.52
Selection accuracy (ra)	0.80	0.72

• LRT was based on chi-square tests with 1 degree of freedom; SD is the standard deviation. **Significant at 1% probability (LTR> 6.63).

The mean provenance heritability was high for DBH and stem form. This resulted in a high selection accuracy for DBH, and in moderate accuracy for stem form, which indicates that field measurements are highly reliable. Accuracy values up to 0.40 are considered low, those from 0.50 to 0.70, moderate, and, those above 0.80, high (Resende, 2016). The result for is unusual as several studies have demonstrated low heritability in A. cunninghamii progeny tests for quantitative growth traits, particularly DBH and height (Scott et al., 2005). The coefficient of broad sense heritability of the provenance was low for both DBH and stem form. Previous studies on the species reported heritability values ranging from 0.11 to 0.48 for DBH and from 0.13 to 0.53 for stem form, in progeny tests at 4 to 16 years of age (Eisemann et al., 1990; Harding & Woolaston, 1991; Dieters et al., 2007; Setiadi, 2010; Setiadi & Susanto, 2012; Setiadi & Fauzi, 2015). For A. angustifolia, low to high individual heritability coefficients for DBH were observed in provenance and progeny tests ranging from 0.03 to 0.95 (Sebbenn et al., 2004; Silva et al., 2015, 2018), while a trend of increasing heritability over time was also observed for A. angustifolia provenances (Silva et al., 2020). This highlights the importance of establishing trials using a representative sampling process. The results indicate that the genotypes under study have a promising capacity for the use of their genetic heritage in the breeding process.

The provenances Langkelly Creek, Brooweena L.A., Yarraman, and St. Agnes resulted in the greatest genetic gains for DBH (Table 3), showing that significant genetic gains can be achieved with the selection of these provenances. In contrast, expected genetic gains would be relatively inferior with the selection of the provenances Imbil Seed Orchard, Clifford, St. John, Benarkin, and Bulburin. Genetic gains were estimated with basis on the selection of the best genotype performance for DBH and stem form, reaching values ranging from 0.5 to 24.8% and 0.9 to 3.5%, respectively (Table 4).

Table 3.
Ranking of provenances based on genotypic values for diameter at breast height (DBH) and stem form (SF) of Araucaria cunninghamii at 29 years of age.

Rank	DBH			Stem form
	Provenance	Genotypic value	Provenance	Genotypic values
1	Langkelly Creek	3.898	Imbil Seed Orchard	0.130
2	Brooweena L.A.	2.699	Brooweena L.A.	0.118
3	Yarraman	0.764	St. Agnes	0.108
4	St. Agnes	0.048	St. John	0.058
5	Imbil Seed Orchard	-0.661	Yarraman	0.052
6	Clifford	-1.832	Jimna	-0.027
7	St. John	-3.804	Benarkin	-0.045
8	Benarkin	-5.491	Bulburin	-0.075
9	Bulburin	-8.727	Clifford	-0.159
10	Jimna	-9.895	Langkelly Creek	-0.161

Table 4.
Expected genetic gains (G_s) for different levels of selection intensity based on genotypic values for diameter at breast height (DBH) and stem form, in Araucaria cunninghamii provenances at 29 years of age.

Selection intensity	Diameter at breast height (DBH)	ns	Gs (%)	Stem form	ns	Gs (%)
	Selected provenance			Selected provenance
GSI (5%)	10	10	24.8	2, 3, 8	10	3.5
GSI (7.5%)	10	15	24.3	2, 3, 8	15	3.4
GSI (10%)	10	19	24.1	2, 3, 8	19	3.3
GSI (12.5%)	3, 9, 10	23	23.1	2, 3, 8	23	3.2
GSI (15%)	2, 3, 9, 10	28	23.9	2, 3, 8	28	3.2
GSI (17.5%)	2, 3, 8, 9, 10	33	22.1	2, 3, 8	33	3.1
GSI (20%)	2, 3, 4, 7, 8, 9, 10	38	20.1	2, 3, 8	38	3.0
GSI (40%)	2, 3, 4, 6, 7, 8 9, 10	75	3.35	2, 3, 4, 8, 9	75	2.7
GSI (50%)	2, 3, 4, 6, 7, 8, 9, 10	94	2.7	1, 2, 3, 4, 5, 8, 9	94	2.5
GSID (25%)	1, 2, 3, 4, 6, 7, 8, 9, 10	60	2.2	1, 2, 3, 4, 6, 7, 8, 9, 10	60	1.3
GSID (50%)	1, 2, 3, 4, 6, 7, 8, 9, 10	120	0.0	1, 2, 3, 4, 6, 7, 8, 9, 10	120	0.9

• n_s is the number of selected individuals; G_s (%) is the expected genetic gain with individual selection; G_s (%) is the expected genetic gain with provenance selection. Provenance: 1, Benarkin; 2, St. Agnes; 3, Brooweena L.A.; 4, St. John; 5, Jimna; 6, Bulburin; 7, Clifford; 8, Imbil Seed Orchard; 9, Yarraman; 10, Langkelly Creek.

Sebbenn et al. (2004) evaluated a 30-year-old A. angustifolia provenance and progeny test in Itapeva, in the state of São Paulo, Brazil, and reported DBH of 20.47 cm (0.71 cm growth per year). This suggests that, in Brazil, A. cunninghamii can show DBH growth of 23.21 cm (or 0.8 cm per year), that is 11.2% higher than the native A. angustifolia. This outcome also proves to be true at younger ages; the mean 6.59 cm DBH at four years of age was reported for A. angustifolia (Silva et al., 2018), while DBH values for A. cunninghamii progenies at 10 years of age up to 20.59 cm were reported in a test installed in Yogyakarta di Bondowoso (Setiadi & Fauzi, 2015). Meanwhile, Dieters et al. (2003) shows studies that found height values for A. cunninghamii close to 17 m in tests of progenies at 15 and 16 years of age, respectively. These results show that, depending on the growth stage and environmental conditions, the introduced tree species may have a similar, or even higher performance than A. angustifolia.

The stem form 4.5 indicates that, on average, trees showed low levels of tortuosity throughout the stem, or an adequate stem form for timber production (Table 1). For sawn wood, this is a very important trait to assess. When the tree shows tortuosity in the stem, the loss of lumber in the sawmill can reach 50% (Lima et al., 2020). Furthermore, this species shows a higher stem form compared to other native and exotic species planted in Brazil. Values lower than three were reported for provenances and progenies of Handroanthus vellosoi (Batista et al., 2012), a provenance of Myracrodruon urundeuva (Freitas et al., 2006), and Dipteryx alata progenies (Canuto et al., 2015).

As to growth traits, the results show genetic variation between provenances (Table 2). Setiadi (2010) also noted significant differences for height and DBH traits between A. cunninghamii progenies. Similar studies with A. angustifolia have detected significant differences for phenotypic traits at progeny (Duarte et al., 2012; Topanotti et al., 2019) and provenance levels (Sebbenn et al., 2004; Silva et al., 2018, 2020). These findings show that the Araucaria species have high genetic variability, and that the introduced species can be used as much as the native one. Thus, it is possible to make use of both species in a complementary way, or develop a hybrid using the more productive individuals from two species. Furthermore, a previous analysis of the studied trial herein reported positive genetic correlation between DBH and height, which can be exploited through the selection process (Sebbenn et al., 2005). However, for stem form, significant differences between provenances were not observed. Therefore, there is a low chance of success for selection based on this trait, as the provenance has a large number of individuals with the maximum score.

The provenances of Langkelly Creek, Yarraman, Brooweena L.A., and St. Agnes showed the best results for selection based on DBH performance, considering all levels of selection intensity. For stem form, the provenances with the best performance were Imbil Seed Orchard Brooweena L.A, St. Agnes, St. John, and Yarraman. For a genetic breeding program targeting both traits, the selection of individuals from Brooweena L.A., Yarraman, and St. Agnes provenances would be interesting even though stem form does not show significant difference among provenances. The selection and use of genotypes of the best performing provenances will be determinant in increasing commercial plantation productivity in the studied region (Sousa et al., 2020). However, for breeding programs that also focus on the conservation of genetic resources, all provenances should be represented in new selected populations, in order to prevent the loss of alleles from the original population (Sousa et al., 2020). At 20 years of age, we observed 23% genetic divergence among provenances in the present study, indicating that most diversity was distributed within provenances and not among them (Sebbenn et al., 2005).

Setiadi & Fauzi (2015) studied A. cunninghamii and reported genetic gains of 0.1 and 0.07% for tree heights at five and ten years of age, respectively, and 0.53 and 1.01% for DBH. Dean et al. (1988) estimated genetic gains from selection of A. cunninghamii in its native region (southeast Queensland) and found lower expected gains than those reported in the present study. However, the authors used a selection index that was not recommended in the current study. As the genetic variation for stem form was low in the studied population, and practically all provenances performed well for this trait, selection should focus on DBH. The genetic gain is determined by heritability, selection intensity, and the phenotypic variation of the trait (Sudrajat et al., 2016). Thus, traits that show low heritability and phenotypic variability, as observed for stem form, usually do not respond well to low- or moderate-intensity selection processes.

For A. angustifolia, Silva et al. (2018) recommend a strategy of lower intensity selection (38%) based on DBH, in order to retain high levels of genetic diversity and effective population size. In the current study, low-intensity selection should be adopted to avoid excessive loss of genetic variability, in the formation of the subsequent generations of breeding population, as this trial represents one of the main sources of genotypes for further development of A. cunninghamii breeding programs in Brazil.

Conclusions

1. The provenance test shows a high genetic variability for the growth traits.

2. The use of individuals with better growth performance within the provenances Brooweena L.A., Yarraman, and St. Agnes is recommended for the development of breeding programs and use in commercial pilot planting, in regions with similar environmental conditions to the tested area.

Acknowledgments

To Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), for financial support; and to Instituto Florestal de São Paulo, for initiating the research project and conducting the experiment.

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Publication Dates

• Publication in this collection
  27 Sept 2021
• Date of issue
  2021

History

• Received
  24 July 2020
• Accepted
  22 Mar 2021