INVESTIGADORES
CAPPA Eduardo Pablo
artículos
Título:
Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
Autor/es:
BELABER, ECTOR C.; GAUCHAT, MARÍA E.; RODRÍGUEZ, GUSTAVO H.; BORRALHO, NUNO M.; CAPPA, EDUARDO P.
Revista:
NEW FORESTS
Editorial:
SPRINGER
Referencias:
Lugar: Berlin; Año: 2018
ISSN:
0169-4286
Resumen:
Non-spatial and spatial analyses were carried out to estimate genetic parameters for growth and stem straightness traits at ages between 4 and 7 in two series of trials established in 2004 and 2008, includingof eight progeny trials of Pinus elliottii Engelm.var. elliottii (PEE), comprising 429 open-pollinated families from Instituto Nacional de Tecnología Agropecuaria (INTA) tree breeding population in Argentina. A first-order autoregressive spatial mixed model was found to improve significantly the fit of the model compared with standard non-spatial mixed model approach, due to substantial spatial heterogeneity within sites. The average individual-tree narrow-sense heritability estimates based on this spatial analysis were 0.51 for diameter at breast height, 0.40 for total height, and 0.48 for volume, with stem straightness being low to moderate (average = 0.11). The additive genetic correlation estimates between growth traits were positive (0.51 ≤ r_a ≤ 0.99) and statistically significant from zero. In contrast, the genetic correlations between growth traits and stem straightness although in general also positive were not significantly different from zero (-0.22 ≤ r ̂_a ≤ 0.59). Age-to-age genetic correlations were consistently higher for growth trait (r_a ≥ 0.81) than for stem straightness (r_a ≥ 0.33). The average additive genetic correlation estimated between sites within test series was high for all traits evaluated (average > 0.72). In contrast, average additive genetic correlation estimated between sites across series was slightly lower (average < 0.63). Implications of all these parameter estimates for genetic improvement of PEE in Argentina are discussed.