The estimation of similarity of inbred lines of maize (Zea mays L.)
Władysław Kadłubiec
kghrin@upwr.edu.plKatedra Hodowli Roślin i Nasiennictwa, Akademia Rolnicza we Wrocławiu (Poland)
Sylwia Lewandowska
Katedra Hodowli Roślin i Nasiennictwa, Akademia Rolnicza we Wrocławiu (Poland)
Rafał Kuriata
Katedra Hodowli Roślin i Nasiennictwa, Akademia Rolnicza we Wrocławiu (Poland)
Abstract
Eighteen inbred maize lines of different origin were tested. The lines were derived from American, French, German and Hungarian forms and from hybrids. Five plants of each line were chosen at random to evaluate the following features: ear length, ear diameter, number of grain rows in a cob, number of grains per cob, cob weight, grain yield from one cob, rachis diameter and dry matter content. Cluster analysis using a mean cluster method based on Euclidean distance was applied to estimate a similarity of maize lines. The lines were divided into groups based on their origin. Moreover, a multiple regression analysis was used to assess the extent to which the grain yield from one cob is affected by the other features. The model so obtained is fitted in 94% to the empirical data. It was found that the grain yield from one cob is determined mainly by a number of grains in the cob and cob weight.
Keywords:
cluster analysis, inbred lines, multiple regression analysis, single hybridsReferences
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Authors
Władysław Kadłubieckghrin@upwr.edu.pl
Katedra Hodowli Roślin i Nasiennictwa, Akademia Rolnicza we Wrocławiu Poland
Authors
Sylwia LewandowskaKatedra Hodowli Roślin i Nasiennictwa, Akademia Rolnicza we Wrocławiu Poland
Authors
Rafał KuriataKatedra Hodowli Roślin i Nasiennictwa, Akademia Rolnicza we Wrocławiu Poland
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Copyright (c) 2006 Władysław Kadłubiec, Sylwia Lewandowska, Rafał Kuriata
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