Behnam Tahmasebpour; Sodabeh Jahanbakhsh; Ali Reza Tarinejad; Hamid Mohammadi; Ali Ebadi
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 ...
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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.
Behnam Tahmasebpour; Sodabeh Jahanbakhsh; Ali Reza Tarinejad; Hamid Mohammadi; ali ebadi
Abstract
Objective: The objective of this study was to investigate the relationships between yield and yield components with morphological traits, and to leverage these relationships to select high-yielding cultivars under optimal irrigation and drought stress conditions at the flowering stage.Methods: To identify ...
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Objective: The objective of this study was to investigate the relationships between yield and yield components with morphological traits, and to leverage these relationships to select high-yielding cultivars under optimal irrigation and drought stress conditions at the flowering stage.Methods: To identify the correlations and relationships among different traits in bread wheat, 30 genotypes were investigated as sub-factors in a split-plot experiment with a completely randomized design and three replications under conditions of normal irrigation and moisture stress at the beginning of the flowering stage at the research greenhouse of Azerbaijan Shahid Madani University in the 2016-2017 crop season.Results: Under normal conditions, the number of seeds in a spike (0.89) and under stress conditions, the number of seeds in a spike (0.70) and the number of days from planting to 50% flowering (-0.60) were decisive and influential on the grain yield. The results of canonical correlation analysis showed a significant correlation between the pair of canonical variables obtained from spike traits with grain yield per plant and spike density under both normal and stress levels.Conclusion: Grain number per spike, spike length, 1000-grain weight, straw yield, spike and shoot density, flag leaf area, and the duration from planting to 50% flowering are the most critical components significantly impacting crop yield enhancement under optimal greenhouse irrigation conditions. Conversely, the critical determinants of grain yield enhancement included grain filling rate, grain filling period, number of days from planting to 50% flowering, root dry weight, straw yield, and grain number per spike when subjected to moisture stress conditions.