scholarly journals Selection of Pinus pinea L. plus tree candidates for cone production

2010 ◽  
Vol 67 (8) ◽  
pp. 814-814 ◽  
Author(s):  
Isabel Carrasquinho ◽  
João Freire ◽  
Abel Rodrigues ◽  
Margarida Tomé
Keyword(s):  
Pinus Pinea ◽  
Cone Production ◽  
Plus Tree ◽  
Selection Of

scholarly journals Influence of umbrella pine (Pinus pinea L.) stand type and tree characteristics on cone production

2016 ◽  
Vol 91 (6) ◽  
pp. 1019-1030 ◽  
Author(s):  
Ana Cristina Gonçalves ◽  
Anabela Afonso ◽  
Dulce G. Pereira ◽  
Anacleto Pinheiro
Keyword(s):  
Pinus Pinea ◽  
Cone Production ◽  
Stand Type ◽  
Umbrella Pine ◽  
Tree Characteristics

scholarly journals Optimal management in Pinus pinea L. stands combining silvicultural schedules for timber and cone production

Silva Fennica ◽  
2015 ◽  
Vol 49 (3) ◽  
Author(s):  
Santiago Pereira ◽  
Antonio Prieto ◽  
Rafael Calama ◽  
Luis Diaz-Balteiro
Keyword(s):  
Pinus Pinea ◽  
Optimal Management ◽  
Cone Production

Modelling spatial and temporal variability in a zero-inflated variable: The case of stone pine (Pinus pinea L.) cone production

2011 ◽  
Vol 222 (3) ◽  
pp. 606-618 ◽  
Author(s):  
Rafael Calama ◽  
Sven Mutke ◽  
José Tomé ◽  
Javier Gordo ◽  
Gregorio Montero ◽  
...  
Keyword(s):  
Temporal Variability ◽  
Pinus Pinea ◽  
Spatial And Temporal Variability ◽  
Stone Pine ◽  
Cone Production

scholarly journals Enhanced tools for predicting annual stone pine (Pinus pinea L.) cone production at tree and forest scale in Inner Spain

2016 ◽  
Vol 25 (3) ◽  
pp. e079 ◽  
Author(s):  
Rafael Calama ◽  
Javier Gordo ◽  
Guillermo Madrigal ◽  
Sven Mutke ◽  
Mar Conde ◽  
...  
Keyword(s):  
Regional Differences ◽  
Floral Induction ◽  
National Forest Inventory ◽  
Pinus Pinea ◽  
Stone Pine ◽  
Data Set ◽  
New Model ◽  
Cone Production ◽  
Pine Nut ◽  
Influent Factors

Aim of the study: To present a new spatiotemporal model for Pinus pinea L. annual cone production with validity for Spanish Northen Plateau and Central Range regions. The new model aims to deal with detected deficiencies in previous models: temporal shortage, overestimation of cone production on recent years, incompatibility with data from National Forest Inventory, difficulty for upscaling and ignorance of the inhibitory process due to resource depletion.Area of study: Spanish Northern Plateau and Central Range regions, covering an area where stone pine occupies more than 90,000 haMaterial and methods: Fitting data set include 190 plots and more than 1000 trees were cone production has been annually collected from 1996 to 2014. Models were fitted independently for each region, by means of zero-inflated log normal techniques. Validation of the models was carried out over the annual series of cone production at forest scale.Results: The spatial and temporal factors influencing cone production are similar in both regions, thus the main regional differences in cone yield are related with differences in the phenological timing, the intensity of the influent factors and forest intrinsic conditions. A significant inhibition of floral induction by resource depletion was detected and included into the model. Upscaling the model results in accurate prediction at forest scale. Research highlights: [1] The new model for annual cone production surpass the detected deficiencies of previous models, accurately predicting recent decay in cone production; [2] Regional differences in cone production are due to phenological and seasonal climatic differences rather than to between provenances genetic differencesKeywords: zero-inflated models; pine nut; conelet losses; Leptoglossus occidentalis; forest upscaling. 

scholarly journals Marker-assisted selection of trees with MALE STERALITY 1 in Cryptomeria japonica D. Don

2020 ◽  
Author(s):  
Yoshinari Moriguchi ◽  
Saneyoshi Ueno ◽  
Yoichi Hasegawa ◽  
Takumi Tadama ◽  
Masahiro Watanabe ◽  
...  
Keyword(s):  
Marker Assisted Selection ◽  
Segregation Ratio ◽  
Linkage Maps ◽  
Genomic Information ◽  
Male Sterile ◽  
Miyagi Prefecture ◽  
Plus Tree ◽  
Conserved Gene ◽  
Time Required ◽  
Selection Of

AbstractPractical use of marker-assisted selection (MAS) is limited in conifers because of the difficulty with developing markers due to a rapid decrease in linkage disequilibrium, the limited genomic information available, and the diverse genetic backgrounds among breeding material collections. First, in this study, two families were produced by artificial crossing between two male-sterile trees, Shindai11 and Shindai12, and a plus tree, Suzu-2 (Ms1/ms1) (S11-S and S12-S families, respectively). The segregation ratio between male-sterile and male-fertile trees did not deviate significantly from the expected 1:1 ratio in either family. These results clearly suggested that the male-sterile gene of Shindai11 and Shindai12 is MALE STERALITY 1(MS1). Because some markers reported previously have not been linkage mapped, we constructed a partial linkage map of the region encompassing MS1 using the S11-S and S12-S families. For the S11-S and S12-S families, 19 and 18 markers were mapped onto the partial linkage maps of MS1 region, respectively. There was collinearity (conserved gene order) between the two partial linkage maps. Two markers (CJt020762_ms1-1 and reCj19250_2335) were mapped to the same position as the MS1 locus on both maps. Of these markers, we used CJt020762 for MAS in this study. According to the MAS results for 650 trees from six prefectures of Japan (603 trees from breeding materials and 47 trees from the Ishinomaki natural population), five trees in Niigata Prefecture and one tree in Yamagata Prefecture had heterozygous ms1-1, and three trees in Miyagi Prefecture had heterozygous ms1-2. The results obtained in this study suggested that there may be geographical hotspots for the ms1-1 and ms1-2 alleles. Because MAS can be used effectively to reduce the labor and time required for selection of trees with a male-sterile gene, the number of breeding materials should increase in the future.

scholarly journals Conservation and selection of plus trees of Pongamia pinnata in Bali, Indonesia

2018 ◽  
Vol 19 (5) ◽  
pp. 1607-1614 ◽  
Author(s):  
NI LUH ARPIWI ◽  
I GUSTI AYU SUGI WAHYUNI ◽  
I KETUT MUKSIN ◽  
SUTOMO .
Keyword(s):  
Small Groups ◽  
Growth Parameters ◽  
Pongamia Pinnata ◽  
Breast Height ◽  
Biodiesel Feedstock ◽  
West Part ◽  
Coastal Beach ◽  
Temperature Ranges ◽  
Plus Tree ◽  
Selection Of

Arpiwi NL, Wahyuni IGAS, Muksin IK, Sutomo. 2018. Conservation and selection of plus trees of Pongamia pinnata in Bali,Indonesia. Biodiversitas 19: 1607-1614. Pongamia pinnata (L.) Pierre or commonly known as pongamia is a tropical legume treeproduces oil seeds for biodiesel feedstock. The aims of present study were mapping growth sites of pongamia in Bali, counting thenumber of trees and selecting plus trees based on growth parameters such as total height, clear bole height, diameter at breast height,canopy width, and oil content. Method of plus tree selection was comparison tree where one candidate tree was compared with 5 nearbycheck trees from each village. A total of 126 pongamia trees were found in coastal beach of Bali. The majority of trees were in the northwest of the island. Temperature ranges from 26-28oC, humidity ranges from 74-80% and altitude 5-50 meters above sea level. Eightpongamia plus trees were selected from 4 villages namely Kalibukbuk, Pengulon, Pemogan, and Sanur. In conclusion, pongamia wasmostly distributed in the northern-west part of the Bali Island of Buleleng District. Lower number of trees was also found in the southernand western part of the island. Trees either scattered or grown in small groups. The number of pongamia tree in Bali is small and thisneeds further action for conserving the species.

scholarly journals Climate Change Impacts on Pinus pinea L. Silvicultural System for Cone Production and Ways to Contour Those Impacts: A Review Complemented with Data from Permanent Plots

Forests ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 169 ◽  
Author(s):  
João A. Freire ◽  
Gonçalo C. Rodrigues ◽  
Margarida Tomé
Keyword(s):  
Climate Change ◽  
Forest Fires ◽  
Management Practices ◽  
Climate Change Impacts ◽  
Pinus Pinea ◽  
Permanent Plots ◽  
Forest Management Planning ◽  
Cone Production ◽  
Umbrella Pine ◽  
Silvicultural System

Umbrella pine (Pinus pinea L.) cones take three years to develop. With the increasing frequency of extreme droughts, water available for trees has decreased—climate change is a reality. The cone’s survival in its first two years of development and the average cone weight during its last year of maturation is affected, thus, reducing kernel quantity and quality. Climate change has resulted in forest fires becoming an inescapable issue in forest management planning. A literature review was carried out, focusing, on one hand, the predicted climatic changes for the Mediterranean basin and, on the other hand, the umbrella pine silvicultural mechanisms at tree, stand, and landscape levels that may help to face these constraints. Finally, the Portuguese case was focused, describing the management practices that are being adopted to achieve, even when the period of cone formation and growth include dry years, one to six tons of cones per hectare per year in adult stands.

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