Phenotypic marker study of worldwide wheat germplasm
The goal of this research is to test breeding material of different geographical origin, and material that is adapted to different agro-climatic regions. This research examines how different wheat genotypes behave in the climatic conditions of the Pannonian Plain, where environmental stress occur m...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2023-08-01
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| Series: | Italian Journal of Agronomy |
| Subjects: | |
| Online Access: | https://www.agronomy.it/index.php/agro/article/view/2194 |
| _version_ | 1797752084242628608 |
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| author | Rada Šućur Velimir Mladenov Borislav Banjac Dragana Trkulja Sanja Mikić Maja Šumaruna Andreas Börner |
| author_facet | Rada Šućur Velimir Mladenov Borislav Banjac Dragana Trkulja Sanja Mikić Maja Šumaruna Andreas Börner |
| author_sort | Rada Šućur |
| collection | DOAJ |
| description |
The goal of this research is to test breeding material of different geographical origin, and material that is adapted to different agro-climatic regions. This research examines how different wheat genotypes behave in the climatic conditions of the Pannonian Plain, where environmental stress occur more and more frequently. Fifteen divergent wheat genotypes were evaluated for grain yield, heading time and yield components (spike length, grain weight per spike and plant height) across seasons 2017/2018, 2018/2019 and 2019/2020. By applying the ANOVA model, significant differences between tested traits were recorded among the analyzed genotypes. Among the genotypes there was a variability that ranged widely for all tested traits. The coefficient of variation ranged from 5.48% for plant height to 41.03% for grain weight per spike. Correlation analysis showed strong positive relationships between grain yield and grain weight per spike (r=0.87), as well as between plant height and heading time (r=0.65). Principal Component Analysis (PCA) was also applied in order to determine the differences between wheat genotypes. This yield marker study, which was carried out in the Western Balkans, could be very valuable in providing breeders with the information they need to evaluate their breeding programs.
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| first_indexed | 2024-03-12T16:59:02Z |
| format | Article |
| id | doaj.art-aaef16b40bf0495d9a86c8fa2bc08f8a |
| institution | Directory Open Access Journal |
| issn | 1125-4718 2039-6805 |
| language | English |
| last_indexed | 2024-03-12T16:59:02Z |
| publishDate | 2023-08-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Italian Journal of Agronomy |
| spelling | doaj.art-aaef16b40bf0495d9a86c8fa2bc08f8a2023-08-07T19:35:40ZengPAGEPress PublicationsItalian Journal of Agronomy1125-47182039-68052023-08-01AOP10.4081/ija.2023.2194Phenotypic marker study of worldwide wheat germplasmRada Šućur0Velimir Mladenov1Borislav Banjac2Dragana Trkulja3Sanja Mikić4Maja Šumaruna5Andreas Börner6Faculty of Agriculture, University of Novi SadFaculty of Agriculture, University of Novi SadFaculty of Agriculture, University of Novi SadInstitute of Field and Vegetable Crops, Novi SadInstitute of Field and Vegetable Crops, Novi SadInstitute of Field and Vegetable Crops, Novi SadLeibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben The goal of this research is to test breeding material of different geographical origin, and material that is adapted to different agro-climatic regions. This research examines how different wheat genotypes behave in the climatic conditions of the Pannonian Plain, where environmental stress occur more and more frequently. Fifteen divergent wheat genotypes were evaluated for grain yield, heading time and yield components (spike length, grain weight per spike and plant height) across seasons 2017/2018, 2018/2019 and 2019/2020. By applying the ANOVA model, significant differences between tested traits were recorded among the analyzed genotypes. Among the genotypes there was a variability that ranged widely for all tested traits. The coefficient of variation ranged from 5.48% for plant height to 41.03% for grain weight per spike. Correlation analysis showed strong positive relationships between grain yield and grain weight per spike (r=0.87), as well as between plant height and heading time (r=0.65). Principal Component Analysis (PCA) was also applied in order to determine the differences between wheat genotypes. This yield marker study, which was carried out in the Western Balkans, could be very valuable in providing breeders with the information they need to evaluate their breeding programs. https://www.agronomy.it/index.php/agro/article/view/2194Correlationsphenotypicvariabilitywheatyield components |
| spellingShingle | Rada Šućur Velimir Mladenov Borislav Banjac Dragana Trkulja Sanja Mikić Maja Šumaruna Andreas Börner Phenotypic marker study of worldwide wheat germplasm Italian Journal of Agronomy Correlations phenotypic variability wheat yield components |
| title | Phenotypic marker study of worldwide wheat germplasm |
| title_full | Phenotypic marker study of worldwide wheat germplasm |
| title_fullStr | Phenotypic marker study of worldwide wheat germplasm |
| title_full_unstemmed | Phenotypic marker study of worldwide wheat germplasm |
| title_short | Phenotypic marker study of worldwide wheat germplasm |
| title_sort | phenotypic marker study of worldwide wheat germplasm |
| topic | Correlations phenotypic variability wheat yield components |
| url | https://www.agronomy.it/index.php/agro/article/view/2194 |
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