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Article

Application of Transfer Effect Models for Predicting Growth and Survival of Genetically Selected Scots Pine Seed Sources in Sweden

1
Skogforsk, Uppsala Science Park, SE-75183 Uppsala, Sweden
2
Natural Resources Institute Finland (Luke), Latokartanonkaari 9, 00790 Helsinki, Finland
3
Natural Resources Institute Finland (Luke), Paavo Havaksentie 3, 90570 Oulu, Finland
4
Skogforsk, Box 3, SE-91821 Saivar, Sweden
*
Author to whom correspondence should be addressed.
Forests 2020, 11(12), 1337; https://doi.org/10.3390/f11121337
Received: 9 November 2020 / Revised: 10 December 2020 / Accepted: 14 December 2020 / Published: 16 December 2020
(This article belongs to the Section Forest Ecology and Management)
We used a regression model approach to examine transferability of the 1.5-generation Swedish Scots pine orchard plus trees using the estimated coefficients of the transfer models recently developed for growth and survival of unimproved Scots pine in Sweden and Finland. Differences between observed and predicted values obtained for height and survival of 3214 plus tree progenies, tested at 58 progeny trials, were regressed on latitudinal transfers (∆LAT). In order to evaluate rates of improvement in height and survival of selected progenies over unimproved trees, average percentage differences in performances (∆g%) between the tree groups were calculated. Results indicate that the adopted models can further predict performances of more advanced-generation orchard trees, as there was no evidence of any systematic pattern in the slope of regression functions. Overall, ∆g% estimates obtained for height of progenies were greater than those of survival, suggesting Swedish Scots pine breeding activities are generating gain in the height growth. Moreover, ∆g% estimates obtained for height and survival of half-sib progenies were higher than those of full-sib ones, as a result of response to higher selection intensity applied in the reselection of their parents. This indicates that, in addition to the gain in growth, a gain in survival is also achievable from 1.5-generation seed orchards, depending on the intensity of selection and intended deployment site. View Full-Text
Keywords: seed transfer models; seed orchards; genetic gain; scots pine; tree improvement seed transfer models; seed orchards; genetic gain; scots pine; tree improvement
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MDPI and ACS Style

Hayatgheibi, H.; Berlin, M.; Haapanen, M.; Kärkkäinen, K.; Persson, T. Application of Transfer Effect Models for Predicting Growth and Survival of Genetically Selected Scots Pine Seed Sources in Sweden. Forests 2020, 11, 1337. https://doi.org/10.3390/f11121337

AMA Style

Hayatgheibi H, Berlin M, Haapanen M, Kärkkäinen K, Persson T. Application of Transfer Effect Models for Predicting Growth and Survival of Genetically Selected Scots Pine Seed Sources in Sweden. Forests. 2020; 11(12):1337. https://doi.org/10.3390/f11121337

Chicago/Turabian Style

Hayatgheibi, Haleh, Mats Berlin, Matti Haapanen, Katri Kärkkäinen, and Torgny Persson. 2020. "Application of Transfer Effect Models for Predicting Growth and Survival of Genetically Selected Scots Pine Seed Sources in Sweden" Forests 11, no. 12: 1337. https://doi.org/10.3390/f11121337

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