Acta Agronómica | |
Evaluation of the breeding potential in height growth for Acacia mangium Willd. | |
Espítia-Camacho, Miguel2  Murillo-Gamboa, Olman1  Pastrana-Vargas, Iván Javier2  | |
[1] Instituto Tecnológico de Costa Rica (TEC), Costa Rica;Universidad de Córdoba, Montería, Colombia | |
关键词: Acacia; breeding; forest plantations; genetic parameters; progeny tests; Reml/Blup; Selegen; tree improvement; | |
DOI : | |
学科分类:农业科学(综合) | |
来源: Universidad Nacional de Colombia * Facultad de Ciencias Agropecuarias Palmira | |
【 摘 要 】
In 2009-10, in Ayapel, Planeta Rica and Tierralta, Córdoba department (Colombia) the growth performance in overall height of 90 open-pollinated families of Acacia mangium was evaluated. In these municipalities the climate is classified, according to Holdridge, like tropical dry forest (TDF), except Tierralta that it is tropical moist forest (TMF). During the first year of growth, plants in each family were evaluated in progeny tests using a randomized experimental complete block design, with six blocks in each of the three locations. The experimental unit consisted of six open-pollinated plants per family, randomly distributed in three spatially separated pairs within each block. The prediction of genetic parameters individual and of families was conducted by the method BLUP (best linear unbiased prediction) and the variance components by REML (restricted maximum likelihood) procedure using the software SELEGEN. Heritability estimates ranged from <1 to 13%, and between 6 to 68%, for strictly individual heritability (h2a) and family-mean heritability (h2mp), respectively. Genetic ranking in height of the top 15 families indicates that those of greatest growth were also more stable and had greater adaptability to environments. Results suggest a high potential for improvement at the family level in growth and productivity of plantations of A. mangium in the department of Córdoba, Colombia. New measurements in next years are needed to achieve a better genetic selection.
【 授权许可】
Unknown
【 预 览 】
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RO201911300707886ZK.pdf | 120KB | download |