Evaluating Variation in Seed Quality Attributes in Pinus Patula Clonal Orchards using Cone Cluster Analysis

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منابع مشابه

Variation in cone and seed characteristics in a clonal seed orchard of Anatolian black pine [Pinus nigra Arnold subsp. pallasiana (Lamb.) Holmboe].

Cone and seed characteristics of Anatolian black pine were investigated in a clonal seed orchard for two years, 2002 and 2006. The orchard, originated from Kastamonu-Karadere seed stand was established in 1993 by using 1 year-old grafts in an area of 13 ha, at Hanönü-Günlüburun, northern Turkey and includes 30 clones. The results showed that, significant variation exists among clones for 14 of ...

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This paper reviews the role of seed orchards as output systems for genetic improvement programs. In this paper, technological changes since the 1950s are examined, with emphasis on recent developments. The need to equate the type of seed orchard to the type of forestry practiced is recognized, as is the significance of the relationship between seed orchards and other output systems for genetica...

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Induced resistance and associated defence gene responses in Pinus patula

Background Plants are able to incite a type of broad spectrum resistance against pathogens upon pre-treatment with biological or chemical inducers. Systemic Acquired Resistance (SAR) and Induced Systemic Resistance (ISR) are two types of induced resistance which lead to the accumulation of specific pathogenesis-related (PR) proteins. Non-pathogenic rhizobacteria are inducing agents for ISR and ...

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Evaluating the Quality of Attributes

One of crucial tasks in machine learning is the evaluation of the quality of attributes. For that purpose a number of measures have been developed that estimate the usefulness of the attribute for predicting the target variable. We describe separately measures for classification (which are appropriate also for relational problems) and for regression. Most of the measures estimate the quality of...

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ژورنال

عنوان ژورنال: Journal of Forests

سال: 2020

ISSN: 2413-8398,2409-3807

DOI: 10.18488/journal.101.2020.71.1.8