Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield

Key message: Cone to pine nut yield (PY), an important commercial feature of stone pine cropping, was higher in Chile than in main producer countries. PY is highly variable along years and depends on pine nut number inside cones, followed by pine nut weight. Cone morphometry is not a good indicator...

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Detalles Bibliográficos
Autores: Loewe-Muñoz, Verónica, Balzarini, Monica Graciela, Delard, Claudia, Álvarez, Andrea
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/128149
Acceso en línea:http://hdl.handle.net/11336/128149
Access Level:acceso abierto
Palabra clave:BETWEEN PLANTATIONS VARIABILITY
CONE WEIGHT
INTER-ANNUAL VARIABILITY
KERNEL YIELD
LEPTOGLOSSUS OCCIDENTALIS HEIDEMANN
PINE NUTS
STONE PINE
https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
Descripción
Sumario:Key message: Cone to pine nut yield (PY), an important commercial feature of stone pine cropping, was higher in Chile than in main producer countries. PY is highly variable along years and depends on pine nut number inside cones, followed by pine nut weight. Cone morphometry is not a good indicator of PY, thus selecting cones for size/weight will not improve it. Context: Stone pine nuts are highly appreciated; however, pine nut yield (total pine nut weight as percentage of cone weight), important feature for the species cultivation, is variable and decreasing worldwide. Aims: Evaluating inter-annual and spatial variability of fruit traits impacting pine nut yield. Methods: Across years and plantation variability of fruit features were estimated from a multi-environment study monitored during 6 years in Chile. Variance component restricted maximum likelihood estimates were calculated for 14 fruit traits. Classification and Regression Tree (CART) was used to identify the variable best explaining pine nut yield. Results: Pine nut yield (3.6–5%) was higher than in main producer countries. Cone weight (521 g), length and diameter were correlated to most of seed and pine nut traits, but not to pine nut yield. The most important fruit trait in determining pine nut yield was pine nut number per cone, followed by pine nut weight. Pine nut yield showed high inter-annual and within plantation variability, whereas pine nut weight more spatial than temporal variability. Pine nut yield was superior in cones containing over 78 pine nuts. Conclusion: Pine nut yield has high inter-annual variability, with cone morphometry not being a good indicator, thus selecting cones for size/weight will not improve cone to pine nut yield.