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Received: 2007-12-06

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Journal of Zhejiang University SCIENCE B 2008 Vol.9 No.5 P.356-362

http://doi.org/10.1631/jzus.B0710615


Assessment of different genetic distances in constructing cotton core subset by genotypic values


Author(s):  Jian-cheng WANG, Jin HU, Xin-xian HUANG, Sheng-chun XU

Affiliation(s):  Seed Science Center, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310029, China; more

Corresponding email(s):   jhu@dial.zju.edu.cn

Key Words:  Core subset, Mixed linear model, Least distance stepwise sampling (LDSS) method, Standardized Euclidean distance, Mahalanobis distance


Jian-cheng WANG, Jin HU, Xin-xian HUANG, Sheng-chun XU. Assessment of different genetic distances in constructing cotton core subset by genotypic values[J]. Journal of Zhejiang University Science B, 2008, 9(5): 356-362.

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author="Jian-cheng WANG, Jin HU, Xin-xian HUANG, Sheng-chun XU",
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year="2008",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B0710615"
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%A Jian-cheng WANG
%A Jin HU
%A Xin-xian HUANG
%A Sheng-chun XU
%J Journal of Zhejiang University SCIENCE B
%V 9
%N 5
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%@ 1673-1581
%D 2008
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B0710615

TY - JOUR
T1 - Assessment of different genetic distances in constructing cotton core subset by genotypic values
A1 - Jian-cheng WANG
A1 - Jin HU
A1 - Xin-xian HUANG
A1 - Sheng-chun XU
J0 - Journal of Zhejiang University Science B
VL - 9
IS - 5
SP - 356
EP - 362
%@ 1673-1581
Y1 - 2008
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B0710615


Abstract: 
One hundred and sixty-eight genotypes of cotton from the same growing region were used as a germplasm group to study the validity of different genetic distances in constructing cotton core subset. mixed linear model approach was employed to unbiasedly predict genotypic values of 20 traits for eliminating the environmental effect. Six commonly used genetic distances (Euclidean, standardized Euclidean, Mahalanobis, city block, cosine and correlation distances) combining four commonly used hierarchical cluster methods (single distance, complete distance, unweighted pair-group average and Ward’s methods) were used in the least distance stepwise sampling (LDSS) method for constructing different core subsets. The analyses of variance (ANOVA) of different evaluating parameters showed that the validities of cosine and correlation distances were inferior to those of Euclidean, standardized Euclidean, Mahalanobis and city block distances. standardized Euclidean distance was slightly more effective than Euclidean, Mahalanobis and city block distances. The principal analysis validated standardized Euclidean distance in the course of constructing practical core subsets. The covariance matrix of accessions might be ill-conditioned when mahalanobis distance was used to calculate genetic distance at low sampling percentages, which led to bias in small-sized core subset construction. The standardized Euclidean distance is recommended in core subset construction with LDSS method.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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