Abstract
ABSTRACT This study was conducted to characterize the phenological traits, yield components and quality traits affecting wheat grain yield. Three wheat genotypes were evaluated during three planting dates (November 20, December 5, and December 20) and at four seeding densities 300, 350, 400 and 450 seeds per m2 for two years. Multivariate analyses were conducted based on the interaction effects of planting date and seeding density (PS), planting date and genotype (PG) and seeding density and genotype (SG) mean values. The results of correlation analysis showed that grain yield was significantly and positively correlated with biomass yield (0.91**), days to spiking (0.81**), days to anthesis (0.83**), and days to maturity (0.57*) for PS; with biomass yield (0.94**), days to spiking (0.87**), days to anthesis (0.75*), and harvest index (0.83**) for PG; with gluten index (0.73**), harvest index (0.68*), and 1000-grain weight for SG. Path analysis revealed that biomass yield for PS and PG, harvest index for PG and SG, and gluten index for SG exhibited the highest positive direct effect. Stepwise regression analysis also revealed important effect of biomass yield, harvest index, and days to maturity for improving grain yield in different agronomical conditions.
Highlights
Wheat (Triticum aestivum L.) is a cereal staple food crop and the most important crop cultivated in the world (Hannachi et al, 2013; Yadi et al, 2016)
The simple regression for grain yield and days to spiking in different planting dates which was calculated based on Table 3, indicated that one-day decrease in the number of days to spiking would result in a 155.2 kg ha-1 decrease in grain yield
Grain yield was significantly affected by planting date and its mean value for the first, second, and third planting dates was 5442, 4043, and 3401 kg ha-1, respectively
Summary
Wheat (Triticum aestivum L.) is a cereal staple food crop and the most important crop cultivated in the world (Hannachi et al, 2013; Yadi et al, 2016). Its unique gluten content and associated bread-making properties assure its relevance in society (Rathod et al, 2019). Management practices such as planting date, seeding density, and cultivar selection play a very important role in determining the grain yield and end-use quality of bread wheat (Yadi et al, 2016). Different varieties of wheat vary in the range of adaptation, potential yield, growth type, and maturity group (NourMohamadi et al, 2015). Optimum plant densities vary greatly between areas, climatic conditions, sowing time, and varieties (Zecevic et al, 2014; Ghassemi et al, 2016).
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