FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1982027914> ?p ?o ?g. }

• W1982027914 endingPage "99" @default.
• W1982027914 startingPage "90" @default.
• W1982027914 abstract "As habitat loss accelerates, there is pressing need to preserve plant genetic diversity in ex situ conservation collections. Population structure (i.e. subdivision), which is common in plants, may be an important consideration when planning such collections because it results in locally restricted alleles or traits, which have high conservation, ecological, or economic value. Nonetheless, common protocols for ex situ collections do not consider population structure. To help inform collection decisions, we utilize computer simulations with different levels of realistic hierarchical population structure to evaluate the expected performance of an array of sample sizes and several spatial distributions of sampled populations. We quantify how population structure affects the expected probability of capturing alleles (especially rare alleles). We also test the effect of family-level structure due to pollen pool composition (e.g., sibling clusters). Our findings suggest that when range-wide population structure exists, the spatial distribution of sampled populations is crucial: sampling one population per region (dispersed sampling) captured up to 175% more alleles than sampling all populations in one region (constrained sampling), and nearly as much as sampling all existing populations. The spatial effect is strongest for poorly-connected (low gene flow) species. Under realistic population structure, moderate sampling (25–30 individuals per population) from few but widely-spaced populations performs optimally; this differs from previous recommended guidelines that do not consider structure. There is smaller effect of the pollen pool composition on collection performance. We conclude that seed collection plans should incorporate spatial considerations, especially for poorly-connected taxa. Our simulation approach can be extended to particular species and other spatial patterns. We use the butternut tree as a case study for collection planning." @default.
• W1982027914 created "2016-06-24" @default.
• W1982027914 creator A5021407273 @default.
• W1982027914 creator A5084980811 @default.
• W1982027914 date "2014-09-01" @default.
• W1982027914 modified "2023-10-01" @default.
• W1982027914 title "Optimal sampling of seeds from plant populations for ex-situ conservation of genetic biodiversity, considering realistic population structure" @default.
• W1982027914 cites W1940374053 @default.
• W1982027914 cites W1941489802 @default.
• W1982027914 cites W1973692452 @default.
• W1982027914 cites W1974701086 @default.
• W1982027914 cites W1977832597 @default.
• W1982027914 cites W1987634917 @default.
• W1982027914 cites W1992638901 @default.
• W1982027914 cites W1998584809 @default.
• W1982027914 cites W2001499786 @default.
• W1982027914 cites W2009804709 @default.
• W1982027914 cites W2013335604 @default.
• W1982027914 cites W2013600537 @default.
• W1982027914 cites W2033850030 @default.
• W1982027914 cites W2034442609 @default.
• W1982027914 cites W2042976154 @default.
• W1982027914 cites W2046601390 @default.
• W1982027914 cites W2051902069 @default.
• W1982027914 cites W2059109864 @default.
• W1982027914 cites W2069607874 @default.
• W1982027914 cites W2080335305 @default.
• W1982027914 cites W2095559324 @default.
• W1982027914 cites W2095890851 @default.
• W1982027914 cites W2101977959 @default.
• W1982027914 cites W2117544599 @default.
• W1982027914 cites W2126798394 @default.
• W1982027914 cites W2127522302 @default.
• W1982027914 cites W2128761031 @default.
• W1982027914 cites W2138877624 @default.
• W1982027914 cites W2149790333 @default.
• W1982027914 cites W2162328877 @default.
• W1982027914 cites W2166082346 @default.
• W1982027914 cites W2169197527 @default.
• W1982027914 cites W2261234928 @default.
• W1982027914 cites W2313984782 @default.
• W1982027914 cites W241013960 @default.
• W1982027914 cites W324421424 @default.
• W1982027914 cites W73934895 @default.
• W1982027914 doi "https://doi.org/10.1016/j.biocon.2014.06.014" @default.
• W1982027914 hasPublicationYear "2014" @default.
• W1982027914 type Work @default.
• W1982027914 sameAs 1982027914 @default.
• W1982027914 citedByCount "113" @default.
• W1982027914 countsByYear W19820279142015 @default.
• W1982027914 countsByYear W19820279142016 @default.
• W1982027914 countsByYear W19820279142017 @default.
• W1982027914 countsByYear W19820279142018 @default.
• W1982027914 countsByYear W19820279142019 @default.
• W1982027914 countsByYear W19820279142020 @default.
• W1982027914 countsByYear W19820279142021 @default.
• W1982027914 countsByYear W19820279142022 @default.
• W1982027914 countsByYear W19820279142023 @default.
• W1982027914 crossrefType "journal-article" @default.
• W1982027914 hasAuthorship W1982027914A5021407273 @default.
• W1982027914 hasAuthorship W1982027914A5084980811 @default.
• W1982027914 hasConcept C106131492 @default.
• W1982027914 hasConcept C130217890 @default.
• W1982027914 hasConcept C140779682 @default.
• W1982027914 hasConcept C144024400 @default.
• W1982027914 hasConcept C149923435 @default.
• W1982027914 hasConcept C159985019 @default.
• W1982027914 hasConcept C169733012 @default.
• W1982027914 hasConcept C179345059 @default.
• W1982027914 hasConcept C185933670 @default.
• W1982027914 hasConcept C18903297 @default.
• W1982027914 hasConcept C192562407 @default.
• W1982027914 hasConcept C204323151 @default.
• W1982027914 hasConcept C2779867007 @default.
• W1982027914 hasConcept C2908647359 @default.
• W1982027914 hasConcept C31972630 @default.
• W1982027914 hasConcept C41008148 @default.
• W1982027914 hasConcept C46576788 @default.
• W1982027914 hasConcept C81977670 @default.
• W1982027914 hasConcept C86803240 @default.
• W1982027914 hasConceptScore W1982027914C106131492 @default.
• W1982027914 hasConceptScore W1982027914C130217890 @default.
• W1982027914 hasConceptScore W1982027914C140779682 @default.
• W1982027914 hasConceptScore W1982027914C144024400 @default.
• W1982027914 hasConceptScore W1982027914C149923435 @default.
• W1982027914 hasConceptScore W1982027914C159985019 @default.
• W1982027914 hasConceptScore W1982027914C169733012 @default.
• W1982027914 hasConceptScore W1982027914C179345059 @default.
• W1982027914 hasConceptScore W1982027914C185933670 @default.
• W1982027914 hasConceptScore W1982027914C18903297 @default.
• W1982027914 hasConceptScore W1982027914C192562407 @default.
• W1982027914 hasConceptScore W1982027914C204323151 @default.
• W1982027914 hasConceptScore W1982027914C2779867007 @default.
• W1982027914 hasConceptScore W1982027914C2908647359 @default.
• W1982027914 hasConceptScore W1982027914C31972630 @default.
• W1982027914 hasConceptScore W1982027914C41008148 @default.
• W1982027914 hasConceptScore W1982027914C46576788 @default.
• W1982027914 hasConceptScore W1982027914C81977670 @default.

• next