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

Autores
Loewe-Muñoz, Verónica; Balzarini, Mónica Graciela; Delard, Claudia; Álvarez, Andrea
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Loewe-Muñoz, Verónica. Instituto Forestal (INFOR); Chile
Fil: Balzarini, Mónica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Cátedra de Estadística y Biometría; Argentina.
Fil: Balzarini, Mónica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.
Fil: Balzarini, Mónica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.
Fil: Delard, Claudia. Instituto Forestal (INFOR); Chile
Fil: Álvarez, Andrea. Instituto Forestal (INFOR); Chile.
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.
info:eu-repo/semantics/publishedVersion
Fil: Loewe-Muñoz, Verónica. Instituto Forestal (INFOR); Chile
Fil: Balzarini, Mónica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Cátedra de Estadística y Biometría; Argentina.
Fil: Balzarini, Mónica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.
Fil: Balzarini, Mónica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.
Fil: Delard, Claudia. Instituto Forestal (INFOR); Chile
Fil: Álvarez, Andrea. Instituto Forestal (INFOR); Chile.
Materia
Pino blanco
Pinus pinea
Rendimiento de cultivos
Identificación
Características morfológicas
Chile
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/548561
Acceder
id RDUUNC_26b5532f9c64d4742b9333df5ccb1ff6
oai_identifier_str oai:rdu.unc.edu.ar:11086/548561
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yieldLoewe-Muñoz, VerónicaBalzarini, Mónica GracielaDelard, ClaudiaÁlvarez, AndreaPino blancoPinus pineaRendimiento de cultivosIdentificaciónCaracterísticas morfológicasChileFil: Loewe-Muñoz, Verónica. Instituto Forestal (INFOR); ChileFil: Balzarini, Mónica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Cátedra de Estadística y Biometría; Argentina.Fil: Balzarini, Mónica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.Fil: Balzarini, Mónica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.Fil: Delard, Claudia. Instituto Forestal (INFOR); ChileFil: Álvarez, Andrea. Instituto Forestal (INFOR); Chile.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.info:eu-repo/semantics/publishedVersionFil: Loewe-Muñoz, Verónica. Instituto Forestal (INFOR); ChileFil: Balzarini, Mónica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Cátedra de Estadística y Biometría; Argentina.Fil: Balzarini, Mónica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.Fil: Balzarini, Mónica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.Fil: Delard, Claudia. Instituto Forestal (INFOR); ChileFil: Álvarez, Andrea. Instituto Forestal (INFOR); Chile.2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfLoewe-Muñoz, V., Balzarini, M. G, Delard, C. & Álvarez, A. (2019). Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield. Annals of Forest Science 76 (37). https://doi.org/10.1007/s13595-019-0816-0http://hdl.handle.net/11086/5485611297-966Xhttps://doi.org/10.1007/s13595-019-0816-0https://annforsci.biomedcentral.com/enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-29T13:42:36Zoai:rdu.unc.edu.ar:11086/548561Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-29 13:42:36.366Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield
title Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield
spellingShingle Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield
Loewe-Muñoz, Verónica
Pino blanco
Pinus pinea
Rendimiento de cultivos
Identificación
Características morfológicas
Chile
title_short Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield
title_full Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield
title_fullStr Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield
title_full_unstemmed Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield
title_sort Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield
dc.creator.none.fl_str_mv Loewe-Muñoz, Verónica
Balzarini, Mónica Graciela
Delard, Claudia
Álvarez, Andrea
author Loewe-Muñoz, Verónica
author_facet Loewe-Muñoz, Verónica
Balzarini, Mónica Graciela
Delard, Claudia
Álvarez, Andrea
author_role author
author2 Balzarini, Mónica Graciela
Delard, Claudia
Álvarez, Andrea
author2_role author
author
author
dc.subject.none.fl_str_mv Pino blanco
Pinus pinea
Rendimiento de cultivos
Identificación
Características morfológicas
Chile
topic Pino blanco
Pinus pinea
Rendimiento de cultivos
Identificación
Características morfológicas
Chile
dc.description.none.fl_txt_mv Fil: Loewe-Muñoz, Verónica. Instituto Forestal (INFOR); Chile
Fil: Balzarini, Mónica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Cátedra de Estadística y Biometría; Argentina.
Fil: Balzarini, Mónica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.
Fil: Balzarini, Mónica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.
Fil: Delard, Claudia. Instituto Forestal (INFOR); Chile
Fil: Álvarez, Andrea. Instituto Forestal (INFOR); Chile.
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.
info:eu-repo/semantics/publishedVersion
Fil: Loewe-Muñoz, Verónica. Instituto Forestal (INFOR); Chile
Fil: Balzarini, Mónica Graciela. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Cátedra de Estadística y Biometría; Argentina.
Fil: Balzarini, Mónica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.
Fil: Balzarini, Mónica Graciela. Instituto Nacional de Tecnología Agropecuaria (INTA). Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina.
Fil: Delard, Claudia. Instituto Forestal (INFOR); Chile
Fil: Álvarez, Andrea. Instituto Forestal (INFOR); Chile.
description Fil: Loewe-Muñoz, Verónica. Instituto Forestal (INFOR); Chile
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
status_str publishedVersion
format article
dc.identifier.none.fl_str_mv Loewe-Muñoz, V., Balzarini, M. G, Delard, C. & Álvarez, A. (2019). Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield. Annals of Forest Science 76 (37). https://doi.org/10.1007/s13595-019-0816-0
http://hdl.handle.net/11086/548561
1297-966X
https://doi.org/10.1007/s13595-019-0816-0
https://annforsci.biomedcentral.com/
identifier_str_mv Loewe-Muñoz, V., Balzarini, M. G, Delard, C. & Álvarez, A. (2019). Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield. Annals of Forest Science 76 (37). https://doi.org/10.1007/s13595-019-0816-0
1297-966X
url http://hdl.handle.net/11086/548561
https://doi.org/10.1007/s13595-019-0816-0
https://annforsci.biomedcentral.com/
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Digital Universitario (UNC)
instname:Universidad Nacional de Córdoba
instacron:UNC
reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
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score 12.891075

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