Estimation of genetic parameters using spatial analysis of Pinus elliottii Engelm. var. elliottii second-generation progeny trials in Argentina
Autor: | Nuno Borralho, Ector Belaber, Maria Elena Gauchat, Eduardo P. Cappa, Gustavo Rodríguez |
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Rok vydání: | 2018 |
Předmět: |
0106 biological sciences
Mixed model Population SPATIAL MODEL 01 natural sciences Genetic correlation Statistics Slash Pine education TREE BREEDING Mathematics education.field_of_study biology Diameter at breast height Forestry 04 agricultural and veterinary sciences Heritability biology.organism_classification SLASH PINE Spatial heterogeneity Otras Agricultura Silvicultura y Pesca CIENCIAS AGRÍCOLAS 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Tree breeding Agricultura Silvicultura y Pesca GENETIC PARAMETERS 010606 plant biology & botany |
Zdroj: | New Forests. 50:605-627 |
ISSN: | 1573-5095 0169-4286 |
DOI: | 10.1007/s11056-018-9682-0 |
Popis: | Non-spatial and spatial analyses were carried out to estimate genetic parameters for growth and stem straightness traits between ages 4 and 7 in two series of eight progeny trials of Pinus elliottii Engelm. var. elliottii (PEE) established in 2004 and 2008, 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 significantly improve the fit of the model, compared with the 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 0.49 for diameter at breast height, 0.36 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 traits (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. Fil: Belaber, Ector C.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Misiones. Estación Experimental Agropecuaria Montecarlo; Argentina Fil: Gauchat Funes, Maria Elena. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Misiones. Estación Experimental Agropecuaria Montecarlo; Argentina Fil: Rodriguez, Horacio Gustavo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Misiones. Estación Experimental Agropecuaria Montecarlo; Argentina Fil: Borralho, Nuno M.. Universidad de Lisboa; Portugal Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
Databáze: | OpenAIRE |
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