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Variability of quantitative traits in barley DH and SSD populations

Maria Surma

office@igr.poznan.pl
Instytut Genetyki Roślin Polskiej Akademii Nauk, Poznań (Poland)

Tadeusz Adamski


Instytut Genetyki Roślin Polskiej Akademii Nauk, Poznań (Poland)

Zygmunt Kaczmarek


Instytut Genetyki Roślin Polskiej Akademii Nauk, Poznań (Poland)

Stanisław Czajka


Katedra Metod Matematycznych i Statystycznych, Akademia Rolnicza, Poznań (Poland)


Abstract

The paper presents a comparison of doubled haploid populations derived from F1 (F1DH) and F2 (F2DH) hybrids with a population obtained by a single seed descent (SSD) method. It has been shown based on theoretical assumptions that the frequency of recombinants in F1DH, F2DH and SSD populations is the same only when no linkage exists between genes determining a certain quantitative trait. In the case of the presence of linkage, this frequency is lowest in F1DH, and highest in SSD populations. The presence of linkage has an effect on expected means and variances for these populations namely the populations differ depending on both the value of recombination coefficient and on a linkage phase. As an example, the results of analysis of selected metrical traits (stem and spike length, stem diameter, grain weight per spike, 1000 grains weight) observed in F1DH, F2DH and SSD barley lines have been presented. It was found that the populations did not differ significantly in the mean values for observed traits except spike length. The variance of SSD lines appeared to be significantly higher than that for F1DH lines for grain weight per spike and stem diameter, which suggests that the genes controlling these traits are linked.

Supporting Agencies

Work carried out as part of the KBN project no. 5 PO6A 017-17

Keywords:

barley, doubled haploids, linkage, quantitative traits, SSD lines

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Published
2003-06-30

Cited by

Surma, M. (2003) “Variability of quantitative traits in barley DH and SSD populations”, Bulletin of Plant Breeding and Acclimatization Institute, (226/227), pp. 277–283. doi: 10.37317/biul-2003-0154.

Authors

Maria Surma 
office@igr.poznan.pl
Instytut Genetyki Roślin Polskiej Akademii Nauk, Poznań Poland

Authors

Tadeusz Adamski 

Instytut Genetyki Roślin Polskiej Akademii Nauk, Poznań Poland

Authors

Zygmunt Kaczmarek 

Instytut Genetyki Roślin Polskiej Akademii Nauk, Poznań Poland

Authors

Stanisław Czajka 

Katedra Metod Matematycznych i Statystycznych, Akademia Rolnicza, Poznań Poland

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Copyright (c) 2003 Maria Surma, Tadeusz Adamski, Zygmunt Kaczmarek, Stanisław Czajka

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