Evaluation of biochemical and physiological traits of corn S6 lines under normal and water deficiency conditions and examining their kinship relationships by cluster analysis

In order to investigate the response of 15 maize S6 lines to drought stress, a split plot design based on randomized complete block design with three replications was conducted in 2015 year at the research field of Graduate University of Advanced Technology, Kerman, Iran. In this study, the main fac...

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Main Authors: Farhad Sadeghi, Mehdi Rahimi
Format: Article
Language:fas
Published: Islamic Azad University - Gorgan Branch 2020-06-01
Series:فیزیولوژی محیطی گیاهی
Subjects:
Online Access:https://ecophysiologi.gorgan.iau.ir/article_676093_597fe69ba6a6ef17abda14e93bb6e5cd.pdf
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author Farhad Sadeghi
Mehdi Rahimi
author_facet Farhad Sadeghi
Mehdi Rahimi
author_sort Farhad Sadeghi
collection DOAJ
description In order to investigate the response of 15 maize S6 lines to drought stress, a split plot design based on randomized complete block design with three replications was conducted in 2015 year at the research field of Graduate University of Advanced Technology, Kerman, Iran. In this study, the main factor was stress at two levels (normal with five days irrigation and low irrigation with ten days irrigation) and the sub-factor was maize line at 15 levels. The results showed that there were significant differences between stress levels and lines for all studied traits (chlorophyll a, chlorophyll b, total chlorophyll, carotenoids, soluble sugars, protein and proline content). Mean comparison of lines showed that lines 9, 3 and 5 had the highest proline content under drought stress conditions. The lowest phenotypic coefficient of variation was for total protein (2.59) and the highest for proline (74.17). Cluster analysis divided the studied lines into four, five and six groups in normal, drought and mean conditions, respectively, and the similarity of their grouping was high. Based on the results of cluster analysis and mean comparisons, lines with high genetic distance were grouped together. Thus, three groups, each with five lines, were found to be used in the planning of breeding projects and cross-breeding programs. Line 9 also showed a high mean for most of the studied traits in both conditions and it can be considered as a promising line in future experiments.
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spelling doaj.art-ba1833e002f745b08ea1a2cff51ca78f2023-06-09T06:41:48ZfasIslamic Azad University - Gorgan Branchفیزیولوژی محیطی گیاهی2423-76712783-46892020-06-0115583847676093Evaluation of biochemical and physiological traits of corn S6 lines under normal and water deficiency conditions and examining their kinship relationships by cluster analysisFarhad Sadeghi0Mehdi Rahimi1Horticulture Crops Research Department, Kermanshah Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Kermanshah, Iran.Assistant Professor, Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, IranIn order to investigate the response of 15 maize S6 lines to drought stress, a split plot design based on randomized complete block design with three replications was conducted in 2015 year at the research field of Graduate University of Advanced Technology, Kerman, Iran. In this study, the main factor was stress at two levels (normal with five days irrigation and low irrigation with ten days irrigation) and the sub-factor was maize line at 15 levels. The results showed that there were significant differences between stress levels and lines for all studied traits (chlorophyll a, chlorophyll b, total chlorophyll, carotenoids, soluble sugars, protein and proline content). Mean comparison of lines showed that lines 9, 3 and 5 had the highest proline content under drought stress conditions. The lowest phenotypic coefficient of variation was for total protein (2.59) and the highest for proline (74.17). Cluster analysis divided the studied lines into four, five and six groups in normal, drought and mean conditions, respectively, and the similarity of their grouping was high. Based on the results of cluster analysis and mean comparisons, lines with high genetic distance were grouped together. Thus, three groups, each with five lines, were found to be used in the planning of breeding projects and cross-breeding programs. Line 9 also showed a high mean for most of the studied traits in both conditions and it can be considered as a promising line in future experiments.https://ecophysiologi.gorgan.iau.ir/article_676093_597fe69ba6a6ef17abda14e93bb6e5cd.pdfcluster analysisdrought stressmaizeprolinesoluble sugars
spellingShingle Farhad Sadeghi
Mehdi Rahimi
Evaluation of biochemical and physiological traits of corn S6 lines under normal and water deficiency conditions and examining their kinship relationships by cluster analysis
فیزیولوژی محیطی گیاهی
cluster analysis
drought stress
maize
proline
soluble sugars
title Evaluation of biochemical and physiological traits of corn S6 lines under normal and water deficiency conditions and examining their kinship relationships by cluster analysis
title_full Evaluation of biochemical and physiological traits of corn S6 lines under normal and water deficiency conditions and examining their kinship relationships by cluster analysis
title_fullStr Evaluation of biochemical and physiological traits of corn S6 lines under normal and water deficiency conditions and examining their kinship relationships by cluster analysis
title_full_unstemmed Evaluation of biochemical and physiological traits of corn S6 lines under normal and water deficiency conditions and examining their kinship relationships by cluster analysis
title_short Evaluation of biochemical and physiological traits of corn S6 lines under normal and water deficiency conditions and examining their kinship relationships by cluster analysis
title_sort evaluation of biochemical and physiological traits of corn s6 lines under normal and water deficiency conditions and examining their kinship relationships by cluster analysis
topic cluster analysis
drought stress
maize
proline
soluble sugars
url https://ecophysiologi.gorgan.iau.ir/article_676093_597fe69ba6a6ef17abda14e93bb6e5cd.pdf
work_keys_str_mv AT farhadsadeghi evaluationofbiochemicalandphysiologicaltraitsofcorns6linesundernormalandwaterdeficiencyconditionsandexaminingtheirkinshiprelationshipsbyclusteranalysis
AT mehdirahimi evaluationofbiochemicalandphysiologicaltraitsofcorns6linesundernormalandwaterdeficiencyconditionsandexaminingtheirkinshiprelationshipsbyclusteranalysis