Growth and genotype × environment interactions in Betula pendula: can tree genetic variation be maintained by small-scale forest ground heterogeneity?

Mikola, Juha; Paaso, Ulla; Silfver, Tarja; Autelo, Mira; Koikkalainen, Katariina; Ruotsalainen, Seppo; Rousi, Matti

doi:10.1007/s10682-014-9708-9

Cited by 10 publications

(42 citation statements)

References 47 publications

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“…Mikola et al 2014). Our results show that high N resorption efficiencies and proficiencies lower litter N release and soil N availability.…”

Section: Genotypic Tradeoff Between N Conservation and Mineralizationmentioning

confidence: 56%

“…This differs from some of our earlier studies (Mikola et al 2014, Silfver et al 2015, where we were also interested in the magnitude of the block-scale environmental variation and treated block as a random factor. 2, where r 2 G and r 2 E are variance components for genotypes and environment, respectively (SPSS GLM Variance components procedure; IBM SPSS Statistics 23, New York, NY, USA).…”

Section: Discussionmentioning

confidence: 88%

“…The upper 5-cm soil layer has a 15% loss on ignition, total C and N concentrations of 6% and 0.3%, respectively, and a pH of 5.0 (Mikola et al 2014). In the Loppi region, the long-term (1981-2010) mean daily temperatures of the warmest (July) and coldest (February) month are 17 and À7°C, respectively, and the mean annual precipitation is 660 mm (Finnish Meteorological Institute 2018).…”

Section: Litter Patches and Their N Dynamicsmentioning

confidence: 99%

“…The soil in the site is post-glacial sorted fine sand. The upper 5-cm soil layer has a 15% loss on ignition, total C and N concentrations of 6% and 0.3%, respectively, and a pH of 5.0 (Mikola et al 2014). Before the area was cut in 2008, it was covered by forest stands of different mixture of B. pendula and Pinus sylvestris.…”

Section: Litter Patches and Their N Dynamicsmentioning

confidence: 99%

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Leaf N resorption efficiency and litter N mineralization rate have a genotypic tradeoff in a silver birch population

Mikola

Silfver

Paaso

et al. 2018

Ecology

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Plants enhance N use efficiency by resorbing N from senescing leaves. This can affect litter N mineralization rate due to the C:N-ratio requirements of microbial growth. We examined genotypic links between leaf N resorption and litter mineralization by collecting leaves and litter from 19 Betula pendula genotypes and following the N release of litter patches on forest ground. We found significant genotypic variation for N resorption efficiency, litter N concentration, cumulative three-year patch N-input and litter N release with high broad-sense heritabilities (H = 0.28-0.65). The genotype means of N resorption efficiency varied from 46% to 65% and correlated negatively with the genotype means of litter N concentration, cumulative patch N-input and litter N release. NH yield under patches had a positive genotypic correlation with the cumulative patch N-input. During the first year of litter decomposition, genotypes varied from N immobilization (max 2.71 mg/g dry litter) to N release (max 1.41 mg/g dry litter), creating a genotypic tradeoff between the N conserved by resorption and the N available for root uptake during the growing season. We speculate that this tradeoff is one likely reason for the remarkably wide genotypic range of N resorption efficiencies in our birch population.

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“…Mikola et al 2014). Our results show that high N resorption efficiencies and proficiencies lower litter N release and soil N availability.…”

Section: Genotypic Tradeoff Between N Conservation and Mineralizationmentioning

confidence: 56%

Section: Discussionmentioning

confidence: 88%

Section: Litter Patches and Their N Dynamicsmentioning

confidence: 99%

Section: Litter Patches and Their N Dynamicsmentioning

confidence: 99%

See 2 more Smart Citations

Leaf N resorption efficiency and litter N mineralization rate have a genotypic tradeoff in a silver birch population

Mikola

Silfver

Paaso

et al. 2018

Ecology

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“…Empirical field studies have shown that performance ranks of genotypes may change as a result of variation in inter-and intraspecific competition (Baron, Richirt, Villoutreix, Amsellem, & Roux, 2015;Shaw, Platenkamp, Shaw, & Podolsky, 1995) or disturbance (McLeod, Scascitelli, & Vellend, 2012); genotype × environment interactions in fitness have even been described on a scale of just 10 cm within a single old field (Stratton, 1994). In Betula pendula Roth in Finland, however, forest ground heterogeneity on a local level affected overall growth but was not sufficient to shift genotypic ranks (Mikola et al, 2014). Genetic mapping studies on recombinant inbred lines and experimental hybrids of model systems such as Arabidopsis, Boechera, Drosophila, and Mimulus in the field and under controlled experimental conditions have provided insights into the genetic basis of genotype × environment interactions across highly divergent environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

Natural quantitative genetic variance in plant growth differs in response to ecologically relevant temperature heterogeneity

Salmela

Ewers

Weinig

2016

Ecology and Evolution

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Adaptation to large‐scale spatial heterogeneity in the environment accounts for a major proportion of genetic diversity within species. Theory predicts the erosion of adaptive genetic variation on a within‐population level, but considerable genetic diversity is often found locally. Genetic diversity could be expected to be maintained within populations in temporally or spatially variable conditions if genotypic rank orders vary across contrasting microenvironmental settings. Taking advantage of fine‐resolution environmental data, we tested the hypothesis that temperature heterogeneity among years could be one factor maintaining quantitative genetic diversity within a natural and genetically diverse plant population. We sampled maternal families of Boechera stricta, an Arabidopsis thaliana relative, at one location in the central Rocky Mountains and grew them in three treatments that, based on records from an adjacent weather station, simulated hourly temperature changes at the native site during three summers with differing mean temperatures. Treatment had a significant effect on all traits, with 2–3‐fold increase in above‐ and belowground biomass and the highest allocation to roots observed in the treatment simulating the warmest summer on record at the site. Treatment affected bivariate associations between traits, with the weakest correlation between above‐ and belowground biomass in the warmest treatment. The magnitude of quantitative genetic variation for all traits differed across treatments: Genetic variance of biomass was 0 in the warmest treatment, while highly significant diversity was found in average conditions, resulting in broad‐sense heritability of 0.31. Significant genotype × environment interactions across all treatments were found only in root‐to‐shoot ratio. Therefore, temperature variation among summers appears unlikely to account for the observed levels of local genetic variation in size in this perennial species, but may influence family rank order in growth allocation. Our results indicate that natural environmental fluctuations can have a large impact on the magnitude of within‐population quantitative genetic variance.

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New evidence for the importance of soil nitrogen on the survival and adaptation of silver birch to climate warming

et al. 2021

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Growth and genotype × environment interactions in Betula pendula: can tree genetic variation be maintained by small-scale forest ground heterogeneity?

Cited by 10 publications

References 47 publications

Leaf N resorption efficiency and litter N mineralization rate have a genotypic tradeoff in a silver birch population

Leaf N resorption efficiency and litter N mineralization rate have a genotypic tradeoff in a silver birch population

Natural quantitative genetic variance in plant growth differs in response to ecologically relevant temperature heterogeneity

New evidence for the importance of soil nitrogen on the survival and adaptation of silver birch to climate warming

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