Morphological parameters and genetic diversity of progenies from seed production areas and unimproved stands of teak (Tectona grandis L.f.) in India

Vegetation clearing and land-use change have depleted many natural plant communities to the point where restoration is required. A major impediment to the success of rebuilding complex vegetation communities is having regular access to sufficient quantities of high-quality seed. Seed-production areas (SPAs) can help generate this seed, but these must be underpinned by a broad genetic base to maximise the evolutionary potential of restored populations. However, genetic bottlenecks can occur at the collection, establishment and production stages in SPAs, requiring genetic evaluation. This is especially relevant for species that may take many years before a return on SPA investment is realised. Two recently established yellow box (Eucalyptus melliodora A.Cunn. ex Schauer, Myrtaceae) SPAs were evaluated to determine whether genetic bottlenecks had occurred between seed collection and SPA establishment. No evidence was found to suggest that a significant loss of genetic diversity had occurred at this stage, although there was a significant difference in diversity between the two SPAs. Complex population genetic structure was also observed in the seed used to source the SPAs, with up to eight groups identified. Plant survival in the SPAs was influenced by seed collection location but not by SPA location and was not associated with genetic diversity. There were also no associations between genetic diversity and plant growth. These data highlighted the importance of chance events when establishing SPAs and indicated that the two yellow box SPAs are likely to provide genetically diverse seed sources for future restoration projects, especially by pooling seed from both SPAs.

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Managing Genetic Diversity and Representation in Banksia marginata (Proteaceae) Seed Production Areas Used for Conservation and Restoration

Diversity ◽

10.3390/d13020039 ◽

2021 ◽

Vol 13 (2) ◽

pp. 39

Author(s):

Linda Broadhurst ◽

David Bush ◽

Jim Begley

Keyword(s):

Genetic Diversity ◽

Genetic Structure ◽

Seed Production ◽

Population Genetic Structure ◽

Population Genetic ◽

Wild Populations ◽

Landscape Degradation ◽

Native Seed ◽

Seed Crops ◽

Production Areas

Landscape degradation is a major threat to global biodiversity that is being further exacerbated by climate change. Halting or reversing biodiversity decline using seed-based restoration requires tons of seed, most of which is sourced from wild populations. However, in regions where restoration is most urgent, wild seed sources are often fragmented, declining and producing seed with low genetic diversity. Seed production areas (SPAs) can help to reduce the burden of collecting native seed from remnant vegetation, improve genetic diversity in managed seed crops and contribute to species conservation. Banksia marginata (Proteaceae) is a key restoration species in south-eastern Australia but is highly fragmented and declining across much of its range. We evaluated genetic diversity, population genetic structure and relatedness in two B. marginata SPAs and the wild populations from which the SPA germplasm was sourced. We found high levels of relatedness within most remnants and that the population genetic structure was best described by three groups of trees. We suggest that SPAs are likely to be important to meet future native seed demand but that best practice protocols are required to assist land managers design and manage these resources including genetic analyses to guide the selection of germplasm.

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Inferring genetic diversity and population structure of India’s National Teak (Tectona grandis L.f.) Germplasm Bank

Genetic Resources and Crop Evolution ◽

10.1007/s10722-021-01335-w ◽

2022 ◽

Author(s):

Naseer Mohammad ◽

Ankur Dahayat ◽

Yogesh Pardhi ◽

Muthu Rajkumar ◽

Shamim Akhtar Ansari ◽

...

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Tectona Grandis ◽

Germplasm Bank ◽

Tectona Grandis L.F

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Genetic diversity of nine natural Tectona grandis L.f. populations of the Western Ghats in Southern India

Conservation Genetics ◽

10.1007/s10592-012-0383-5 ◽

2012 ◽

Vol 13 (5) ◽

pp. 1409-1419 ◽

Cited By ~ 13

Author(s):

P. M. Sreekanth ◽

M. Balasundaran ◽

P. A. Nazeem ◽

T. B. Suma

Keyword(s):

Genetic Diversity ◽

Western Ghats ◽

Tectona Grandis ◽

Southern India ◽

The Western Ghats ◽

Tectona Grandis L.F

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Natural establishment of Pinus spp. around seed production areas and orchards

Forest Ecology and Management ◽

10.1016/j.foreco.2021.119333 ◽

2021 ◽

Vol 494 ◽

pp. 119333

Author(s):

Magda Paula dos Santos ◽

Marcio José de Araujo ◽

Paulo Henrique Müller da Silva

Keyword(s):

Seed Production ◽

Natural Establishment ◽

Pinus Spp ◽

Production Areas

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Non-destructive estimation of fibre morphological parameters and chemical constituents of Tectona grandis L.f. wood by near infrared spectroscopy

Journal of Near Infrared Spectroscopy ◽

10.1177/0967033521999118 ◽

2021 ◽

pp. 096703352199911

Author(s):

SR Shukla ◽

S Shashikala ◽

M Sujatha

Keyword(s):

Near Infrared ◽

Cross Validation ◽

Chemical Constituents ◽

Fibre Diameter ◽

Tectona Grandis ◽

Cost Effective ◽

Wood Products ◽

Timber Species ◽

Morphological Parameters ◽

Mean Square Errors

Near infrared (NIR) spectroscopy is developing as an advanced and non-invasive tool in the wood, wood products and forestry sectors. It may be applied as a rapid and cost effective technique for assessment of different wood quality parameters of timber species. In the present study, NIR spectra of heartwood samples of Tectona grandis (teak) were collected before measuring fibre morphological parameters (fibre length, fibre diameter and fibre lumen diameter)and main chemical constituents (cellulose, hemicellulose, lignin and extractives) using maceration and wet chemistry methods respectively. Multivariate partial least squares (PLS) regression was applied to develop the calibration models between measured values of wood parameters and NIR spectral data. Pre-processing of NIR spectra demonstrated better predictions based on higher values of correlation coefficient for estimation (R2), validation (Rcv 2 ), ratio of performance to deviation (RPD), and lower values of root mean square errors of estimation (RMSEE), cross-validation (RMSECV) and number of latent variable (rank). Internal cross-validation was used to find the optimum rank. Robust calibrations models with high R2 (>0.87), low errors and high RPD values (> 2.93) were observed from PLS analysis for fibre morphological parameters and main chemical constituents of teak. These linear models may be applied for rapid and cost effective estimation of different fibre parameters and chemical constituents in routine testing and evaluation procedures for teak.

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