Comparison of graphical analyses for maize genetic experiments: Application of biplots and polar plot to line x tester design

Graphical techniques have become important tools to show results of maize (Zea mays L.) breeding experiments in current literature. The present study compared different graphical techniques to determine the best parental lines and cross combinations for yield and kernel quality traits in maize breed...

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Autores principales: Kahriman,Fatih, Egesel,Cem Ömer, Orhun,Gül Ebru, Alaca,Baris, Avci,Fatma
Lenguaje:English
Publicado: Instituto de Investigaciones Agropecuarias, INIA 2016
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392016000300004
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spelling oai:scielo:S0718-583920160003000042018-10-01Comparison of graphical analyses for maize genetic experiments: Application of biplots and polar plot to line x tester designKahriman,FatihEgesel,Cem ÖmerOrhun,Gül EbruAlaca,BarisAvci,Fatma Biplots carotenoid fatty acid maize oil protein Zea mays Graphical techniques have become important tools to show results of maize (Zea mays L.) breeding experiments in current literature. The present study compared different graphical techniques to determine the best parental lines and cross combinations for yield and kernel quality traits in maize breeding experiments. We measured single plant yield, protein content, oil content, carotenoid content, oleic acid, and linoleic acid in a 5 x 2 line x tester design. Genotype + genotype x environment (GE) biplot, principal component analysis (PCA) biplot, and polar plot were used to analyze data and compare them with conventional line x tester analysis. In the conventional analysis, parents with high means and positive general combining ability (GCA) values were A680 and HYA for single plant yield, IHP for protein content, IHO and HYA for oil content, A680 and Q2 for carotenoid content, IHP for oleic acid content, and A680 for linoleic acid content. The B73 tester exhibited positive GCA values for most investigated traits. The HYA x B73 combination was the best cross in terms of single plant yield, protein, and oil contents. Results showed that biplot methods had both advantages and disadvantages. The PCA biplots can be used alone while the GGE biplot and polar plots are both useful for combining ability, heterosis, and gene action analysis in a line x tester design. Overall, graphical analysis results were very similar to conventional analysis. Consequently, it was assumed that the graphical methods used could be useful to analyze/present data from maize breeding experiments carried out with a line x tester design.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.76 n.3 20162016-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392016000300004en10.4067/S0718-58392016000300004
institution Scielo Chile
collection Scielo Chile
language English
topic Biplots
carotenoid
fatty acid
maize
oil
protein
Zea mays
spellingShingle Biplots
carotenoid
fatty acid
maize
oil
protein
Zea mays
Kahriman,Fatih
Egesel,Cem Ömer
Orhun,Gül Ebru
Alaca,Baris
Avci,Fatma
Comparison of graphical analyses for maize genetic experiments: Application of biplots and polar plot to line x tester design
description Graphical techniques have become important tools to show results of maize (Zea mays L.) breeding experiments in current literature. The present study compared different graphical techniques to determine the best parental lines and cross combinations for yield and kernel quality traits in maize breeding experiments. We measured single plant yield, protein content, oil content, carotenoid content, oleic acid, and linoleic acid in a 5 x 2 line x tester design. Genotype + genotype x environment (GE) biplot, principal component analysis (PCA) biplot, and polar plot were used to analyze data and compare them with conventional line x tester analysis. In the conventional analysis, parents with high means and positive general combining ability (GCA) values were A680 and HYA for single plant yield, IHP for protein content, IHO and HYA for oil content, A680 and Q2 for carotenoid content, IHP for oleic acid content, and A680 for linoleic acid content. The B73 tester exhibited positive GCA values for most investigated traits. The HYA x B73 combination was the best cross in terms of single plant yield, protein, and oil contents. Results showed that biplot methods had both advantages and disadvantages. The PCA biplots can be used alone while the GGE biplot and polar plots are both useful for combining ability, heterosis, and gene action analysis in a line x tester design. Overall, graphical analysis results were very similar to conventional analysis. Consequently, it was assumed that the graphical methods used could be useful to analyze/present data from maize breeding experiments carried out with a line x tester design.
author Kahriman,Fatih
Egesel,Cem Ömer
Orhun,Gül Ebru
Alaca,Baris
Avci,Fatma
author_facet Kahriman,Fatih
Egesel,Cem Ömer
Orhun,Gül Ebru
Alaca,Baris
Avci,Fatma
author_sort Kahriman,Fatih
title Comparison of graphical analyses for maize genetic experiments: Application of biplots and polar plot to line x tester design
title_short Comparison of graphical analyses for maize genetic experiments: Application of biplots and polar plot to line x tester design
title_full Comparison of graphical analyses for maize genetic experiments: Application of biplots and polar plot to line x tester design
title_fullStr Comparison of graphical analyses for maize genetic experiments: Application of biplots and polar plot to line x tester design
title_full_unstemmed Comparison of graphical analyses for maize genetic experiments: Application of biplots and polar plot to line x tester design
title_sort comparison of graphical analyses for maize genetic experiments: application of biplots and polar plot to line x tester design
publisher Instituto de Investigaciones Agropecuarias, INIA
publishDate 2016
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392016000300004
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