{"title":"种子园遗传间伐的空间优化","authors":"Kateřina Chaloupková, Milan Lstibůrek","doi":"10.1186/s13595-022-01158-4","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Key message</h3><p>We provide a mathematical model to determine which trees should be ruled out from the grid to promote random mating in seed orchards under genetic thinning.</p><h3 data-test=\"abstract-sub-heading\">Context</h3><p>Genetic thinning (roguing) is a common practice in forest tree breeding to remove inferior genotypes in seed orchards, thus boosting the genetic worth of the seed crop.</p><h3 data-test=\"abstract-sub-heading\">Aims</h3><p>To develop a general methodology for spatial optimization of genetic thinning. It should promote random mating and consider any existing seed orchard layout.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>The model is based on the Optimum-Neighborhood Allocation algorithm (Chaloupková et al., Forests 10:1-6, 2019). The algorithm’s efficiency was evaluated using computer simulation. A fully randomized scheme was used as a reference. In addition, the study provides a demonstration on an actual seed orchard.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Simulations confirm the method’s efficiency in promoting random mating compared to the fully randomized allocation across a wide range of selection intensities. We suggest Linear Deployment as a preferred method for calculating optimum deployment contributions at higher thinning intensities. The algorithm was programmed in R and is publicly available.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>Breeders can use the software and follow the example to implement genetic thinning in different practical scenarios assuming any seed orchard layout. The approach enhances random mating while maximizing genetic response to selection.</p>","PeriodicalId":7994,"journal":{"name":"Annals of Forest Science","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Spatial optimization of genetic thinning in seed orchards\",\"authors\":\"Kateřina Chaloupková, Milan Lstibůrek\",\"doi\":\"10.1186/s13595-022-01158-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Key message</h3><p>We provide a mathematical model to determine which trees should be ruled out from the grid to promote random mating in seed orchards under genetic thinning.</p><h3 data-test=\\\"abstract-sub-heading\\\">Context</h3><p>Genetic thinning (roguing) is a common practice in forest tree breeding to remove inferior genotypes in seed orchards, thus boosting the genetic worth of the seed crop.</p><h3 data-test=\\\"abstract-sub-heading\\\">Aims</h3><p>To develop a general methodology for spatial optimization of genetic thinning. It should promote random mating and consider any existing seed orchard layout.</p><h3 data-test=\\\"abstract-sub-heading\\\">Methods</h3><p>The model is based on the Optimum-Neighborhood Allocation algorithm (Chaloupková et al., Forests 10:1-6, 2019). The algorithm’s efficiency was evaluated using computer simulation. A fully randomized scheme was used as a reference. In addition, the study provides a demonstration on an actual seed orchard.</p><h3 data-test=\\\"abstract-sub-heading\\\">Results</h3><p>Simulations confirm the method’s efficiency in promoting random mating compared to the fully randomized allocation across a wide range of selection intensities. We suggest Linear Deployment as a preferred method for calculating optimum deployment contributions at higher thinning intensities. The algorithm was programmed in R and is publicly available.</p><h3 data-test=\\\"abstract-sub-heading\\\">Conclusion</h3><p>Breeders can use the software and follow the example to implement genetic thinning in different practical scenarios assuming any seed orchard layout. The approach enhances random mating while maximizing genetic response to selection.</p>\",\"PeriodicalId\":7994,\"journal\":{\"name\":\"Annals of Forest Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Forest Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1186/s13595-022-01158-4\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Forest Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1186/s13595-022-01158-4","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
Spatial optimization of genetic thinning in seed orchards
Key message
We provide a mathematical model to determine which trees should be ruled out from the grid to promote random mating in seed orchards under genetic thinning.
Context
Genetic thinning (roguing) is a common practice in forest tree breeding to remove inferior genotypes in seed orchards, thus boosting the genetic worth of the seed crop.
Aims
To develop a general methodology for spatial optimization of genetic thinning. It should promote random mating and consider any existing seed orchard layout.
Methods
The model is based on the Optimum-Neighborhood Allocation algorithm (Chaloupková et al., Forests 10:1-6, 2019). The algorithm’s efficiency was evaluated using computer simulation. A fully randomized scheme was used as a reference. In addition, the study provides a demonstration on an actual seed orchard.
Results
Simulations confirm the method’s efficiency in promoting random mating compared to the fully randomized allocation across a wide range of selection intensities. We suggest Linear Deployment as a preferred method for calculating optimum deployment contributions at higher thinning intensities. The algorithm was programmed in R and is publicly available.
Conclusion
Breeders can use the software and follow the example to implement genetic thinning in different practical scenarios assuming any seed orchard layout. The approach enhances random mating while maximizing genetic response to selection.
期刊介绍:
Annals of Forest Science is an official publication of the French National Institute for Agriculture, Food and Environment (INRAE)
-Up-to-date coverage of current developments and trends in forest research and forestry
Topics include ecology and ecophysiology, genetics and improvement, tree physiology, wood quality, and silviculture
-Formerly known as Annales des Sciences Forestières
-Biology of trees and associated organisms (symbionts, pathogens, pests)
-Forest dynamics and ecosystem processes under environmental or management drivers (ecology, genetics)
-Risks and disturbances affecting forest ecosystems (biology, ecology, economics)
-Forestry wood chain (tree breeding, forest management and productivity, ecosystem services, silviculture and plantation management)
-Wood sciences (relationships between wood structure and tree functions, and between forest management or environment and wood properties)