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

Autores
Loewe-Muñoz, Verónica; Balzarini, Monica Graciela; Delard, Claudia; Álvarez, Andrea
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Loewe-Muñoz, Verónica. Instituto Forest Biblioteca; Chile
Fil: Balzarini, Monica Graciela. Universidad Nacional de Córdoba; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina
Fil: Delard, Claudia. Instituto Forest Biblioteca; Chile
Fil: Álvarez, Andrea. Instituto Forest Biblioteca; Chile
Materia
BETWEEN PLANTATIONS VARIABILITY
CONE WEIGHT
INTER-ANNUAL VARIABILITY
KERNEL YIELD
LEPTOGLOSSUS OCCIDENTALIS HEIDEMANN
PINE NUTS
STONE PINE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/128149
Acceder
id CONICETDig_719b0c0aec16c15afa4f08cef52b8b99
oai_identifier_str oai:ri.conicet.gov.ar:11336/128149
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yieldLoewe-Muñoz, VerónicaBalzarini, Monica GracielaDelard, ClaudiaÁlvarez, AndreaBETWEEN PLANTATIONS VARIABILITYCONE WEIGHTINTER-ANNUAL VARIABILITYKERNEL YIELDLEPTOGLOSSUS OCCIDENTALIS HEIDEMANNPINE NUTSSTONE PINEhttps://purl.org/becyt/ford/4.5https://purl.org/becyt/ford/4Key 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.Fil: Loewe-Muñoz, Verónica. Instituto Forest Biblioteca; ChileFil: Balzarini, Monica Graciela. Universidad Nacional de Córdoba; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; ArgentinaFil: Delard, Claudia. Instituto Forest Biblioteca; ChileFil: Álvarez, Andrea. Instituto Forest Biblioteca; ChileEDP Sciences2019-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/128149Loewe-Muñoz, Verónica; Balzarini, Monica Graciela; Delard, Claudia; Álvarez, Andrea; Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield; EDP Sciences; Annals of Forest Science; 76; 2; 6-2019; 1-101286-45601297-966XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s13595-019-0816-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:04:06Zoai:ri.conicet.gov.ar:11336/128149instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:04:06.935CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
BETWEEN PLANTATIONS VARIABILITY
CONE WEIGHT
INTER-ANNUAL VARIABILITY
KERNEL YIELD
LEPTOGLOSSUS OCCIDENTALIS HEIDEMANN
PINE NUTS
STONE PINE
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, Monica Graciela
Delard, Claudia
Álvarez, Andrea
author Loewe-Muñoz, Verónica
author_facet Loewe-Muñoz, Verónica
Balzarini, Monica Graciela
Delard, Claudia
Álvarez, Andrea
author_role author
author2 Balzarini, Monica Graciela
Delard, Claudia
Álvarez, Andrea
author2_role author
author
author
dc.subject.none.fl_str_mv BETWEEN PLANTATIONS VARIABILITY
CONE WEIGHT
INTER-ANNUAL VARIABILITY
KERNEL YIELD
LEPTOGLOSSUS OCCIDENTALIS HEIDEMANN
PINE NUTS
STONE PINE
topic BETWEEN PLANTATIONS VARIABILITY
CONE WEIGHT
INTER-ANNUAL VARIABILITY
KERNEL YIELD
LEPTOGLOSSUS OCCIDENTALIS HEIDEMANN
PINE NUTS
STONE PINE
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv 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.
Fil: Loewe-Muñoz, Verónica. Instituto Forest Biblioteca; Chile
Fil: Balzarini, Monica Graciela. Universidad Nacional de Córdoba; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Unidad de Fitopatología y Modelización Agrícola - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Unidad de Fitopatología y Modelización Agrícola; Argentina
Fil: Delard, Claudia. Instituto Forest Biblioteca; Chile
Fil: Álvarez, Andrea. Instituto Forest Biblioteca; Chile
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/128149
Loewe-Muñoz, Verónica; Balzarini, Monica Graciela; Delard, Claudia; Álvarez, Andrea; Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield; EDP Sciences; Annals of Forest Science; 76; 2; 6-2019; 1-10
1286-4560
1297-966X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/128149
identifier_str_mv Loewe-Muñoz, Verónica; Balzarini, Monica Graciela; Delard, Claudia; Álvarez, Andrea; Variability of stone pine (Pinus pinea L.) fruit traits impacting pine nut yield; EDP Sciences; Annals of Forest Science; 76; 2; 6-2019; 1-10
1286-4560
1297-966X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s13595-019-0816-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv EDP Sciences
publisher.none.fl_str_mv EDP Sciences
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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