Assessment of genotype‐trait interaction in maize (Zea mays L.) hybrids using GGT biplot analysis

Abstract In order to investigate the interaction of genotype × trait and relationships among agronomic traits on 12 maize hybrids, an experiment was conducted in a randomized complete block design (RCBD) with three replicates in four regions of Karaj, Birjand, Shiraz, and Arak. Results of analysis o...

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Main Authors: Seyed Habib Shojaei, Khodadad Mostafavi, Mahmoud Khosroshahli, Mohammad Reza Bihamta, Hossein Ramshini
Format: Article
Language:English
Published: Wiley 2020-10-01
Series:Food Science & Nutrition
Subjects:
PCA
Online Access:https://doi.org/10.1002/fsn3.1826
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spelling doaj-49639ff2e2cf410d9f0a76c515d158c42020-11-25T03:05:57ZengWileyFood Science & Nutrition2048-71772020-10-018105340535110.1002/fsn3.1826Assessment of genotype‐trait interaction in maize (Zea mays L.) hybrids using GGT biplot analysisSeyed Habib Shojaei0Khodadad Mostafavi1Mahmoud Khosroshahli2Mohammad Reza Bihamta3Hossein Ramshini4Department of Agronomy and Plant Breeding Science and Research Branch Islamic Azad University Tehran IranDepartment of Agronomy and Plant Breeding Karaj Branch Islamic Azad university Karaj IranDepartment of Agronomy and Plant Breeding Science and Research Branch Islamic Azad University Tehran IranCollege of Agriculture & Natural Resources (UCAN) University of Tehran Karaj IranCollege of Agriculture & Natural Resources University of Tehran Pakdasht IranAbstract In order to investigate the interaction of genotype × trait and relationships among agronomic traits on 12 maize hybrids, an experiment was conducted in a randomized complete block design (RCBD) with three replicates in four regions of Karaj, Birjand, Shiraz, and Arak. Results of analysis of variance indicated that most of the genotypes were significantly different in terms of agronomic traits. Mean comparison by Duncan's method showed that KSC705 genotype was more favorable than other genotypes in all studied regions. SC604 genotype in Birjand and Karaj regions and KSC707 genotype in Shiraz region have higher rank than other genotypes. Correlation analysis was used to investigate the relationships between traits. In most of the studied regions, traits of number of grains in row and number of rows per ear were positively and significantly correlated with grain width and grain weight with grain yield. Graphical analysis was used to further investigate. Genotypes–trait interaction graph explained 59.27%, 61.22%, 59.17%, and 61.95% of total variance in Karaj, Birjand, Shiraz, and Arak, respectively. Based on the multivariate graph, KSC705, KSC706, and SC647 genotypes were identified as superior genotypes in all studied regions and KSC400 genotype did not show much response to change in traits. Correlation between grain width and number of rows in ear, plant height and grain length, one thousand grain weight and grain thickness, and ear diameter with number of grains in row was positive and significant. The results of classification graph of genotypes also divided the cultivars in to three groups as follows: KSC703, KSC400, and KSC706 genotypes in the first group; DC370, SC604, and SC301 in the second group; and KSC260, KSC704, KSC707, and SC301 in the third group.https://doi.org/10.1002/fsn3.1826corncorrelation coefficientgenotype–trait interactiongraphical methodPCA
collection DOAJ
language English
format Article
sources DOAJ
author Seyed Habib Shojaei
Khodadad Mostafavi
Mahmoud Khosroshahli
Mohammad Reza Bihamta
Hossein Ramshini
spellingShingle Seyed Habib Shojaei
Khodadad Mostafavi
Mahmoud Khosroshahli
Mohammad Reza Bihamta
Hossein Ramshini
Assessment of genotype‐trait interaction in maize (Zea mays L.) hybrids using GGT biplot analysis
Food Science & Nutrition
corn
correlation coefficient
genotype–trait interaction
graphical method
PCA
author_facet Seyed Habib Shojaei
Khodadad Mostafavi
Mahmoud Khosroshahli
Mohammad Reza Bihamta
Hossein Ramshini
author_sort Seyed Habib Shojaei
title Assessment of genotype‐trait interaction in maize (Zea mays L.) hybrids using GGT biplot analysis
title_short Assessment of genotype‐trait interaction in maize (Zea mays L.) hybrids using GGT biplot analysis
title_full Assessment of genotype‐trait interaction in maize (Zea mays L.) hybrids using GGT biplot analysis
title_fullStr Assessment of genotype‐trait interaction in maize (Zea mays L.) hybrids using GGT biplot analysis
title_full_unstemmed Assessment of genotype‐trait interaction in maize (Zea mays L.) hybrids using GGT biplot analysis
title_sort assessment of genotype‐trait interaction in maize (zea mays l.) hybrids using ggt biplot analysis
publisher Wiley
series Food Science & Nutrition
issn 2048-7177
publishDate 2020-10-01
description Abstract In order to investigate the interaction of genotype × trait and relationships among agronomic traits on 12 maize hybrids, an experiment was conducted in a randomized complete block design (RCBD) with three replicates in four regions of Karaj, Birjand, Shiraz, and Arak. Results of analysis of variance indicated that most of the genotypes were significantly different in terms of agronomic traits. Mean comparison by Duncan's method showed that KSC705 genotype was more favorable than other genotypes in all studied regions. SC604 genotype in Birjand and Karaj regions and KSC707 genotype in Shiraz region have higher rank than other genotypes. Correlation analysis was used to investigate the relationships between traits. In most of the studied regions, traits of number of grains in row and number of rows per ear were positively and significantly correlated with grain width and grain weight with grain yield. Graphical analysis was used to further investigate. Genotypes–trait interaction graph explained 59.27%, 61.22%, 59.17%, and 61.95% of total variance in Karaj, Birjand, Shiraz, and Arak, respectively. Based on the multivariate graph, KSC705, KSC706, and SC647 genotypes were identified as superior genotypes in all studied regions and KSC400 genotype did not show much response to change in traits. Correlation between grain width and number of rows in ear, plant height and grain length, one thousand grain weight and grain thickness, and ear diameter with number of grains in row was positive and significant. The results of classification graph of genotypes also divided the cultivars in to three groups as follows: KSC703, KSC400, and KSC706 genotypes in the first group; DC370, SC604, and SC301 in the second group; and KSC260, KSC704, KSC707, and SC301 in the third group.
topic corn
correlation coefficient
genotype–trait interaction
graphical method
PCA
url https://doi.org/10.1002/fsn3.1826
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