model integrating seed source adaptation and seed use
A conceptual model that considers the performance (adaptability) of a seed source (=an origin) and the location or range of its deployment is developed employing the Cauchy function. The model assumes that there exists an optimal site type for each provenance origin (genetic material), and that loss...
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| Veröffentlicht in: | New forests 2000-07, Vol.20 (1), p.87-104 |
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| container_title | New forests |
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| creator | Lindgren, D Ying, C.C |
| description | A conceptual model that considers the performance (adaptability) of a seed source (=an origin) and the location or range of its deployment is developed employing the Cauchy function. The model assumes that there exists an optimal site type for each provenance origin (genetic material), and that loss in performance is a function of the "distance" (a measure of increasing maladaptation) from the optimal site. The model requires the estimate of three parameters: a site requirement value that measures site type in one dimension, a measure of optimal performance, and a flexibility measure of the width of seed source adaptability. The Cauchy function has a known integral, thus the average adaptability over a range (a possible seed use zone) can be mathematically evaluated. The model was also extended to seed orchard crops representing progeny of parents of variable origins. Scots pine information in Sweden was used to demonstrate possible applications of the model. |
| doi_str_mv | 10.1023/A:1006708213824 |
| format | Article |
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The model assumes that there exists an optimal site type for each provenance origin (genetic material), and that loss in performance is a function of the "distance" (a measure of increasing maladaptation) from the optimal site. The model requires the estimate of three parameters: a site requirement value that measures site type in one dimension, a measure of optimal performance, and a flexibility measure of the width of seed source adaptability. The Cauchy function has a known integral, thus the average adaptability over a range (a possible seed use zone) can be mathematically evaluated. The model was also extended to seed orchard crops representing progeny of parents of variable origins. Scots pine information in Sweden was used to demonstrate possible applications of the model.</description><identifier>ISSN: 0169-4286</identifier><identifier>EISSN: 1573-5095</identifier><identifier>DOI: 10.1023/A:1006708213824</identifier><identifier>CODEN: NEFOE6</identifier><language>eng</language><publisher>Dordrecht: Kluwer</publisher><subject>acclimation ; Adaptability ; adaptation ; Agronomy. Soil science and plant productions ; Biological and medical sciences ; Fundamental and applied biological sciences. Psychology ; Generalities. Genetics. 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Soil science and plant productions</subject><subject>Biological and medical sciences</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Generalities. Genetics. Plant material</subject><subject>Genetic resources, diversity</subject><subject>Genetics and breeding of economic plants</subject><subject>geographical distribution</subject><subject>geographical variation</subject><subject>Pine trees</subject><subject>Pinus sylvestris</subject><subject>Plant material</subject><subject>provenance</subject><subject>seed orchards</subject><subject>Seeds</subject><subject>simulation models</subject><issn>0169-4286</issn><issn>1573-5095</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNot0E1LAzEQBuAgCtbq2aOLeF2dZJJs4q2U-gEFD9rzMt0kZUu7uybbg__ewPY0MO_DzDCM3XN45iDwZfHKAXQFRnA0Ql6wGVcVlgqsumQz4NqWUhh9zW5S2gNkLHDG1LF3_lC03eh3kca22xXJe1ek_hQbX5CjYcztviuoc1N0Sv6WXQU6JH93rnO2eVv9LD_K9df753KxLoNAHEuFWyFdsGgbrbQUSA6NdARGg5R2WwUfBPdkTECEhmylXePQBsO1zgnO2eM0d4j978mnsd7nu7q8sq6kBIuVFRk9nRGlhg4hUte0qR5ie6T4V3OFWiiT2cPEAvU17WImm28BXOVHgDLc4j_deFvU</recordid><startdate>20000701</startdate><enddate>20000701</enddate><creator>Lindgren, D</creator><creator>Ying, C.C</creator><general>Kluwer</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>IQODW</scope><scope>3V.</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20000701</creationdate><title>model integrating seed source adaptation and seed use</title><author>Lindgren, D ; Ying, C.C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-f233t-53b24df939c656423ad384da0860449b7fef21ea88f330ca976dcd39f8166f213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>acclimation</topic><topic>Adaptability</topic><topic>adaptation</topic><topic>Agronomy. Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Generalities. Genetics. Plant material</topic><topic>Genetic resources, diversity</topic><topic>Genetics and breeding of economic plants</topic><topic>geographical distribution</topic><topic>geographical variation</topic><topic>Pine trees</topic><topic>Pinus sylvestris</topic><topic>Plant material</topic><topic>provenance</topic><topic>seed orchards</topic><topic>Seeds</topic><topic>simulation models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lindgren, D</creatorcontrib><creatorcontrib>Ying, C.C</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>New forests</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lindgren, D</au><au>Ying, C.C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>model integrating seed source adaptation and seed use</atitle><jtitle>New forests</jtitle><date>2000-07-01</date><risdate>2000</risdate><volume>20</volume><issue>1</issue><spage>87</spage><epage>104</epage><pages>87-104</pages><issn>0169-4286</issn><eissn>1573-5095</eissn><coden>NEFOE6</coden><abstract>A conceptual model that considers the performance (adaptability) of a seed source (=an origin) and the location or range of its deployment is developed employing the Cauchy function. 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| identifier | ISSN: 0169-4286 |
| ispartof | New forests, 2000-07, Vol.20 (1), p.87-104 |
| issn | 0169-4286 1573-5095 |
| language | eng |
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| subjects | acclimation Adaptability adaptation Agronomy. Soil science and plant productions Biological and medical sciences Fundamental and applied biological sciences. Psychology Generalities. Genetics. Plant material Genetic resources, diversity Genetics and breeding of economic plants geographical distribution geographical variation Pine trees Pinus sylvestris Plant material provenance seed orchards Seeds simulation models |
| title | model integrating seed source adaptation and seed use |
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