Clonal composites: An alternative to improve the sustainability of production in eucalypt forests
•Clonal composites mitigate genetic vulnerability of eucalypt plantations.•In each region different clones respond differently to allo and auto-competition.•Clonal composites present growth uniformity similar to monoclonal plantations.•Clonal composites present higher productivity than monoclonal pl...
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Published in: | Forest ecology and management Vol. 449; p. 117445 |
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Main Authors: | , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Elsevier B.V
01-10-2019
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Subjects: | |
Online Access: | Get full text |
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Summary: | •Clonal composites mitigate genetic vulnerability of eucalypt plantations.•In each region different clones respond differently to allo and auto-competition.•Clonal composites present growth uniformity similar to monoclonal plantations.•Clonal composites present higher productivity than monoclonal plantations.
The use of eucalypt clonal composites framed by improved, phenotypically similar and unrelated clones may be an important strategy to help breeders prevent commercial eucalypt plantations from unpredictable future adverse events, as well as to promote sustainable productivity gains. The present study was conducted to test this hypothesis by comparing the growth (MAI) at ages three to four years of a significant number of clones in clonal composite (CC) and monoclonal (MC) typologies under distinct environmental conditions, both at experimental and commercial scales. The CC presented MAI performance superior to MC in both experimental (9.8%) and commercial (6.3%) conditions. In each region, different clones respond differently to allo (CC) and auto-competition (MC), but most of them (73%) performed better in CC. Furthermore, CC commercial plantations presented growth uniformity, at different ages, similar to MC plantations, as well as lower genetic vulnerability given by the proportion of replanting before the end of the rotation age due to biotic or abiotic damage agents. |
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ISSN: | 0378-1127 1872-7042 |
DOI: | 10.1016/j.foreco.2019.06.042 |