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Area-based breeding zones to minimize maladaptation
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Zeitschriftentitel: | Canadian Journal of Forest Research |
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Personen und Körperschaften: | , |
In: | Canadian Journal of Forest Research, 34, 2004, 3, S. 695-704 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Canadian Science Publishing
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Schlagwörter: |
author_facet |
O'Neill, Gregory A Aitken, Sally N O'Neill, Gregory A Aitken, Sally N |
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author |
O'Neill, Gregory A Aitken, Sally N |
spellingShingle |
O'Neill, Gregory A Aitken, Sally N Canadian Journal of Forest Research Area-based breeding zones to minimize maladaptation Ecology Forestry Global and Planetary Change |
author_sort |
o'neill, gregory a |
spelling |
O'Neill, Gregory A Aitken, Sally N 0045-5067 1208-6037 Canadian Science Publishing Ecology Forestry Global and Planetary Change http://dx.doi.org/10.1139/x03-227 <jats:p> A new breeding zone delineation scheme identifies for a given number of zones the zone-boundary placement that minimizes regional maladaptation in breeding programs. First, an adaptive map is created by using conventional genetic test data. Then, the large array of predicted adaptive values is subjected to cluster analysis, which assigns each grid cell of the region to one of a predetermined number of clusters (breeding zones) such that the sum of the squared distances between each cell's adaptive value and its cluster mean is minimized. This approach minimizes the average adaptive distance between the origin of a breeding program's selected trees and planting locations throughout the region of focus. The procedure is illustrated by the use of adaptive values of 69 interior spruce (Picea engelmannii Parry ex Engelm. × Picea glauca (Moench) Voss) open-pollinated families (sources) from southeast British Columbia, Canada. Adaptive values of each 1.5 km × 1.5 km grid cell in the 80 000-km<jats:sup>2</jats:sup> region were predicted using a geneco logical model (R<jats:sup>2</jats:sup> = 0.64), and the values were subjected to cluster analysis to identify breeding zone boundaries that were then mapped using a geographic information system. Regardless of the number of zones created, a regional maladaptation index was consistently smaller when zones were devised with area-based cluster (ABC) analysis than when zones were created by dividing the region into bands of equal elevational or adaptive-value widths. Application of the ABC procedure should assist in identifying the optimum breeding-zone alignment for a given number of zones. </jats:p> Area-based breeding zones to minimize maladaptation Canadian Journal of Forest Research |
doi_str_mv |
10.1139/x03-227 |
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Canadian Journal of Forest Research |
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title |
Area-based breeding zones to minimize maladaptation |
title_unstemmed |
Area-based breeding zones to minimize maladaptation |
title_full |
Area-based breeding zones to minimize maladaptation |
title_fullStr |
Area-based breeding zones to minimize maladaptation |
title_full_unstemmed |
Area-based breeding zones to minimize maladaptation |
title_short |
Area-based breeding zones to minimize maladaptation |
title_sort |
area-based breeding zones to minimize maladaptation |
topic |
Ecology Forestry Global and Planetary Change |
url |
http://dx.doi.org/10.1139/x03-227 |
publishDate |
2004 |
physical |
695-704 |
description |
<jats:p> A new breeding zone delineation scheme identifies for a given number of zones the zone-boundary placement that minimizes regional maladaptation in breeding programs. First, an adaptive map is created by using conventional genetic test data. Then, the large array of predicted adaptive values is subjected to cluster analysis, which assigns each grid cell of the region to one of a predetermined number of clusters (breeding zones) such that the sum of the squared distances between each cell's adaptive value and its cluster mean is minimized. This approach minimizes the average adaptive distance between the origin of a breeding program's selected trees and planting locations throughout the region of focus. The procedure is illustrated by the use of adaptive values of 69 interior spruce (Picea engelmannii Parry ex Engelm. × Picea glauca (Moench) Voss) open-pollinated families (sources) from southeast British Columbia, Canada. Adaptive values of each 1.5 km × 1.5 km grid cell in the 80 000-km<jats:sup>2</jats:sup> region were predicted using a geneco logical model (R<jats:sup>2</jats:sup> = 0.64), and the values were subjected to cluster analysis to identify breeding zone boundaries that were then mapped using a geographic information system. Regardless of the number of zones created, a regional maladaptation index was consistently smaller when zones were devised with area-based cluster (ABC) analysis than when zones were created by dividing the region into bands of equal elevational or adaptive-value widths. Application of the ABC procedure should assist in identifying the optimum breeding-zone alignment for a given number of zones. </jats:p> |
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author | O'Neill, Gregory A, Aitken, Sally N |
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author_sort | o'neill, gregory a |
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description | <jats:p> A new breeding zone delineation scheme identifies for a given number of zones the zone-boundary placement that minimizes regional maladaptation in breeding programs. First, an adaptive map is created by using conventional genetic test data. Then, the large array of predicted adaptive values is subjected to cluster analysis, which assigns each grid cell of the region to one of a predetermined number of clusters (breeding zones) such that the sum of the squared distances between each cell's adaptive value and its cluster mean is minimized. This approach minimizes the average adaptive distance between the origin of a breeding program's selected trees and planting locations throughout the region of focus. The procedure is illustrated by the use of adaptive values of 69 interior spruce (Picea engelmannii Parry ex Engelm. × Picea glauca (Moench) Voss) open-pollinated families (sources) from southeast British Columbia, Canada. Adaptive values of each 1.5 km × 1.5 km grid cell in the 80 000-km<jats:sup>2</jats:sup> region were predicted using a geneco logical model (R<jats:sup>2</jats:sup> = 0.64), and the values were subjected to cluster analysis to identify breeding zone boundaries that were then mapped using a geographic information system. Regardless of the number of zones created, a regional maladaptation index was consistently smaller when zones were devised with area-based cluster (ABC) analysis than when zones were created by dividing the region into bands of equal elevational or adaptive-value widths. Application of the ABC procedure should assist in identifying the optimum breeding-zone alignment for a given number of zones. </jats:p> |
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spelling | O'Neill, Gregory A Aitken, Sally N 0045-5067 1208-6037 Canadian Science Publishing Ecology Forestry Global and Planetary Change http://dx.doi.org/10.1139/x03-227 <jats:p> A new breeding zone delineation scheme identifies for a given number of zones the zone-boundary placement that minimizes regional maladaptation in breeding programs. First, an adaptive map is created by using conventional genetic test data. Then, the large array of predicted adaptive values is subjected to cluster analysis, which assigns each grid cell of the region to one of a predetermined number of clusters (breeding zones) such that the sum of the squared distances between each cell's adaptive value and its cluster mean is minimized. This approach minimizes the average adaptive distance between the origin of a breeding program's selected trees and planting locations throughout the region of focus. The procedure is illustrated by the use of adaptive values of 69 interior spruce (Picea engelmannii Parry ex Engelm. × Picea glauca (Moench) Voss) open-pollinated families (sources) from southeast British Columbia, Canada. Adaptive values of each 1.5 km × 1.5 km grid cell in the 80 000-km<jats:sup>2</jats:sup> region were predicted using a geneco logical model (R<jats:sup>2</jats:sup> = 0.64), and the values were subjected to cluster analysis to identify breeding zone boundaries that were then mapped using a geographic information system. Regardless of the number of zones created, a regional maladaptation index was consistently smaller when zones were devised with area-based cluster (ABC) analysis than when zones were created by dividing the region into bands of equal elevational or adaptive-value widths. Application of the ABC procedure should assist in identifying the optimum breeding-zone alignment for a given number of zones. </jats:p> Area-based breeding zones to minimize maladaptation Canadian Journal of Forest Research |
spellingShingle | O'Neill, Gregory A, Aitken, Sally N, Canadian Journal of Forest Research, Area-based breeding zones to minimize maladaptation, Ecology, Forestry, Global and Planetary Change |
title | Area-based breeding zones to minimize maladaptation |
title_full | Area-based breeding zones to minimize maladaptation |
title_fullStr | Area-based breeding zones to minimize maladaptation |
title_full_unstemmed | Area-based breeding zones to minimize maladaptation |
title_short | Area-based breeding zones to minimize maladaptation |
title_sort | area-based breeding zones to minimize maladaptation |
title_unstemmed | Area-based breeding zones to minimize maladaptation |
topic | Ecology, Forestry, Global and Planetary Change |
url | http://dx.doi.org/10.1139/x03-227 |