Document Type : Research Paper
Authors
1 Ph.D Plant Breeding, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili
2 Department of plant genetics and production engineering, Faculty of agriculture and natural resources, University of Mohaghegh Ardabili
3 Department of Agricultural Biotechnology, Faculty of Agriculture, Azarbaijan Shahid Madani University, Tabriz, Iran
4 Department of Agronomy and plant breeding, Faculty of Agriculture, Azarbaijan Shahid Madani University, Tabriz, Iran.
Abstract
Objective: This study aimed to investigate the relationships between traits and use these relationships to select high-yielding cultivars under normal irrigation and drought stress conditions at flowering stage.
Methods: The objective of this study was to investigate the relationships between yield traits and their components with root traits. Accordingly, a split plot experiment was conducted based on a completely randomized experimental design with three replications. Thirty wheat genotypes were determined as secondary factors subjected to normal irrigation conditions and under moisture stress at the beginning of flowering in the research greenhouse of the Faculty of Agriculture of Shahid Madani University of Azerbaijan in 2015-2016.
Results: Specifically, under normal irrigation conditions in the greenhouse, the desirable criteria for increasing grain yield is a primary emphasis on root dry weight, followed by an emphasis on root volume as a secondary factor. Conversely, under moisture-stress conditions, root traits, grain number per spike, total grain yield, root dry weight, root volume, and root number play a more critical role in increasing both the 1000-grain weight and manifest as the predominant and influential factors.
Conclusion: According to results, several parameters can be determined as appropriate indices to select high-yielding genotypes such as the number of days to 50% flowering, shoot growth rate, malondialdehyde content, flag leaf area, 1000-grain weight, chlorophyll a content, carotenoid levels, peduncle length, dry root weight, root volume, and root number.
Keywords
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