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A strategy for selecting diverse accessions using Principal Component Analysis from a large germplasm collection of soybean

Published online by Cambridge University Press:  27 June 2007

R. L Sapra  and
S. K. Lal
R. L Sapra*
Affiliation:
Pulse Research Lab, Genetics Division, Indian Agriculture Research Institute, Pusa, New Delhi 110012, India
S. K. Lal
Affiliation:
Pulse Research Lab, Genetics Division, Indian Agriculture Research Institute, Pusa, New Delhi 110012, India
*
*Corresponding author. E-mail: saprarl@rediffmail.com
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Abstract

We suggest a diversity-dependent strategy, based on Principle Component Analysis, for selecting distinct accessions/parents for breeding from a soybean germplasm collection comprising of 463 lines, characterized and evaluated for 10 qualitative and eight quantitative traits. A sample size of six accessions included all the three states, namely low, medium and high of the individual quantitative traits, while a sample of 16–19 accessions included all the 60–64 distinct states of qualitative as well as quantitative traits. Under certain assumptions, the paper also develops an expression for estimating the size of a target population for capturing maximum variability in a sample three accessions.

Keywords

breedingdiversitygermplasmPrincipal Component Analysissamplingsoybeaninertia
Type
Research Article
Information
Plant Genetic Resources , Volume 1 , Issue 2-3 , August 2003 , pp. 151 - 156
Copyright
Copyright © NIAB 2003

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