Additive and non-additive genetic architecture of two different-sized populations of Scabiosa canescens. Waldmann, P. Heredity, 86(6):648–657, June, 2001. Bandiera_abtest: a Cg_type: Nature Research Journals Number: 6 Primary_atype: Research Publisher: Nature Publishing Group
Additive and non-additive genetic architecture of two different-sized populations of Scabiosa canescens [link]Paper  doi  abstract   bibtex   
Future adaptation to changes in the environment depends on the existence of additive genetic variances within populations. Recently, considerable attention has also been given to the non-additive component, which plays an important role in inbreeding depression and bottleneck situations. In this study, I used data from a North Carolina II crossing experiment, analysed with restricted maximum-likelihood methods, to estimate the additive and dominance genetic (co)variances for eight quantitative characters in two different-sized populations of Scabiosa canescens, a rare and threatened plant in Sweden. There was no evidence for genetic erosion in the small Hällestad population (≈25 individuals) relative to the large Åhus population (≈5000 individuals). In fact, slightly higher heritabilities were found in the Hällestad population. The additive genetic variance was statistically significant for all traits in both populations, but only a few additive covariances reached significance. The Hällestad population also had higher mean levels and more traits with significant dominance variance than the Åhus population. The variance attributable to maternal effects was too low to be considered significant. There was only a weak correspondence between heritabilities for each trait in the present study and previous estimates based on open-pollinated families of the same populations, but the mean heritability (over characters) was consistent between the studies.
@article{waldmann_additive_2001,
	title = {Additive and non-additive genetic architecture of two different-sized populations of {Scabiosa} canescens},
	volume = {86},
	copyright = {2001 The Genetical Society of Great Britain},
	issn = {1365-2540},
	url = {https://www.nature.com/articles/6888730},
	doi = {10/bwf2zr},
	abstract = {Future adaptation to changes in the environment depends on the existence of additive genetic variances within populations. Recently, considerable attention has also been given to the non-additive component, which plays an important role in inbreeding depression and bottleneck situations. In this study, I used data from a North Carolina II crossing experiment, analysed with restricted maximum-likelihood methods, to estimate the additive and dominance genetic (co)variances for eight quantitative characters in two different-sized populations of Scabiosa canescens, a rare and threatened plant in Sweden. There was no evidence for genetic erosion in the small Hällestad population (≈25 individuals) relative to the large Åhus population (≈5000 individuals). In fact, slightly higher heritabilities were found in the Hällestad population. The additive genetic variance was statistically significant for all traits in both populations, but only a few additive covariances reached significance. The Hällestad population also had higher mean levels and more traits with significant dominance variance than the Åhus population. The variance attributable to maternal effects was too low to be considered significant. There was only a weak correspondence between heritabilities for each trait in the present study and previous estimates based on open-pollinated families of the same populations, but the mean heritability (over characters) was consistent between the studies.},
	language = {en},
	number = {6},
	urldate = {2021-11-02},
	journal = {Heredity},
	author = {Waldmann, Patrik},
	month = jun,
	year = {2001},
	note = {Bandiera\_abtest: a
Cg\_type: Nature Research Journals
Number: 6
Primary\_atype: Research
Publisher: Nature Publishing Group},
	keywords = {Biomedicine, Cytogenetics, Ecology, Evolutionary Biology, Human Genetics, Plant Genetics and Genomics, general},
	pages = {648--657},
}

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