Comparing the efficiency of sampling strategies to establish a representative in the phenotypic-based genetic diversity core collection of orchardgrass (Dactylis glomerata L.)

Establishing a core collection that represents the genetic diversity of the entire collection with a minimum loss of its original diversity and minimal redundancies is an important problem for gene bank curators and crop breeders. In this paper, we assess the representativeness of the original genet...

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Main Authors: Marcin STUDNICKI, Wiesław MĄDRY, Jan SCHMIDT
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2013-03-01
Series:Czech Journal of Genetics and Plant Breeding
Subjects:
Online Access:https://cjgpb.agriculturejournals.cz/artkey/cjg-201301-0006_comparing-the-efficiency-of-sampling-strategies-to-establish-a-representative-in-the-phenotypic-based-genetic-d.php
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author Marcin STUDNICKI
Wiesław MĄDRY
Jan SCHMIDT
author_facet Marcin STUDNICKI
Wiesław MĄDRY
Jan SCHMIDT
author_sort Marcin STUDNICKI
collection DOAJ
description Establishing a core collection that represents the genetic diversity of the entire collection with a minimum loss of its original diversity and minimal redundancies is an important problem for gene bank curators and crop breeders. In this paper, we assess the representativeness of the original genetic diversity in core collections consisting of one-tenth of the entire collection obtained according to 23 sampling strategies. The study was performed using the Polish orchardgrass Dactylis glomerata L. germplasm collection as a model. The representativeness of the core collections was validated by the difference of means (MD%) and difference of mean squared Euclidean distance (d‒D%) for the studied traits in the core subsets and the entire collection. In this way, we compared the efficiency of a simple random and 22 (20 cluster-based and 2 direct cluster-based) stratified sampling strategies. Each cluster-based stratified sampling strategy is a combination of 2 clusterings, 5 allocations and 2 methods of sampling in a group. We used the accession genotypic predicted values for 8 quantitative traits tested in field trials. A sampling strategy is considered more effective for establishing core collections if the means of the traits in a core are maintained at the same level as the means in the entire collection (i.e., the mean of MD% in the simulated samples is close to zero) and, simultaneously, when the overall variation in a core collection is greater than in the entire collection (i.e., the mean of d‒D% in the simulated samples is greater than that obtained for the simple random sampling strategy). Both cluster analyses (unweighted pair group method with arithmetic mean UPGMA and Ward) were similarly useful in constructing those sampling strategies capable of establishing representative core collections. Among the allocation methods that are relatively most useful for constructing efficient samplings were proportional and D2 (including variation). Within the Ward clusters, the random sampling was better than the cluster-based sampling, but not within the UPGMA clusters.
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spelling doaj.art-fb58dab774ae4394a42eecc8193a59b52023-02-23T03:30:18ZengCzech Academy of Agricultural SciencesCzech Journal of Genetics and Plant Breeding1212-19751805-93252013-03-01491364710.17221/9/2012-CJGPBcjg-201301-0006Comparing the efficiency of sampling strategies to establish a representative in the phenotypic-based genetic diversity core collection of orchardgrass (Dactylis glomerata L.)Marcin STUDNICKI0Wiesław MĄDRY1Jan SCHMIDT2Department of Experimental Design and Bioinformatics, Faculty of Agriculture and Biology, Warsaw University of Life Sciences - SGGW, Warsaw, PolandDepartment of Experimental Design and Bioinformatics, Faculty of Agriculture and Biology, Warsaw University of Life Sciences - SGGW, Warsaw, PolandBotanical Garden, Plant Breeding and Acclimatization Institute - National Research Institute, Bydgoszcz, PolandEstablishing a core collection that represents the genetic diversity of the entire collection with a minimum loss of its original diversity and minimal redundancies is an important problem for gene bank curators and crop breeders. In this paper, we assess the representativeness of the original genetic diversity in core collections consisting of one-tenth of the entire collection obtained according to 23 sampling strategies. The study was performed using the Polish orchardgrass Dactylis glomerata L. germplasm collection as a model. The representativeness of the core collections was validated by the difference of means (MD%) and difference of mean squared Euclidean distance (d‒D%) for the studied traits in the core subsets and the entire collection. In this way, we compared the efficiency of a simple random and 22 (20 cluster-based and 2 direct cluster-based) stratified sampling strategies. Each cluster-based stratified sampling strategy is a combination of 2 clusterings, 5 allocations and 2 methods of sampling in a group. We used the accession genotypic predicted values for 8 quantitative traits tested in field trials. A sampling strategy is considered more effective for establishing core collections if the means of the traits in a core are maintained at the same level as the means in the entire collection (i.e., the mean of MD% in the simulated samples is close to zero) and, simultaneously, when the overall variation in a core collection is greater than in the entire collection (i.e., the mean of d‒D% in the simulated samples is greater than that obtained for the simple random sampling strategy). Both cluster analyses (unweighted pair group method with arithmetic mean UPGMA and Ward) were similarly useful in constructing those sampling strategies capable of establishing representative core collections. Among the allocation methods that are relatively most useful for constructing efficient samplings were proportional and D2 (including variation). Within the Ward clusters, the random sampling was better than the cluster-based sampling, but not within the UPGMA clusters.https://cjgpb.agriculturejournals.cz/artkey/cjg-201301-0006_comparing-the-efficiency-of-sampling-strategies-to-establish-a-representative-in-the-phenotypic-based-genetic-d.phpcore collectiongenetic diversitygermplasm collectionorchardgrassphenotypic variationrepresentativenesssampling strategies
spellingShingle Marcin STUDNICKI
Wiesław MĄDRY
Jan SCHMIDT
Comparing the efficiency of sampling strategies to establish a representative in the phenotypic-based genetic diversity core collection of orchardgrass (Dactylis glomerata L.)
Czech Journal of Genetics and Plant Breeding
core collection
genetic diversity
germplasm collection
orchardgrass
phenotypic variation
representativeness
sampling strategies
title Comparing the efficiency of sampling strategies to establish a representative in the phenotypic-based genetic diversity core collection of orchardgrass (Dactylis glomerata L.)
title_full Comparing the efficiency of sampling strategies to establish a representative in the phenotypic-based genetic diversity core collection of orchardgrass (Dactylis glomerata L.)
title_fullStr Comparing the efficiency of sampling strategies to establish a representative in the phenotypic-based genetic diversity core collection of orchardgrass (Dactylis glomerata L.)
title_full_unstemmed Comparing the efficiency of sampling strategies to establish a representative in the phenotypic-based genetic diversity core collection of orchardgrass (Dactylis glomerata L.)
title_short Comparing the efficiency of sampling strategies to establish a representative in the phenotypic-based genetic diversity core collection of orchardgrass (Dactylis glomerata L.)
title_sort comparing the efficiency of sampling strategies to establish a representative in the phenotypic based genetic diversity core collection of orchardgrass dactylis glomerata l
topic core collection
genetic diversity
germplasm collection
orchardgrass
phenotypic variation
representativeness
sampling strategies
url https://cjgpb.agriculturejournals.cz/artkey/cjg-201301-0006_comparing-the-efficiency-of-sampling-strategies-to-establish-a-representative-in-the-phenotypic-based-genetic-d.php
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