Europäisches Journal für Experimentalbiologie Offener Zugang

Abstrakt

Impacts of waterlogging on shoot apex development and recovery effects of nitrogen on grain yield of wheat

Ali Rasaei, Mohammad-Eghbal Ghobadi, Saeid Jalali-Honarmand, Mokhtar Ghobadi, Mohsen Saeidi

The waterlogging as an abiotic stress can damage to crops such as wheat during winter season. Any suitable crop management during the growth and development of this plant can reduce yield loss due to waterlogging stress. This study was carried out to investigate the effects of different periods 10, 20 and 30 days waterlogging and without waterlogging stress conditions, at the time of the double ridge emergence and adding different levels of reparative nitrogen fertilizer, respectively, 0, 50, 100 and 150 kg ha-1 at end of stress duration, to reduce waterlogging damage on winter wheat (Triticum aestivum var. Marvdasht). An experiment factorial based on Randomized Complete Block Design, with three replications was conducted in 2009-2010 cropping season at the research field of college of agriculture, Razi University, Kermanshah, Iran. The results showed that the studied traits i.e., spikelet number, apical meristem length, rate of spikelet initiation and also rate of spikelet elongation (based on day and growth degree days), during double ridge appearance to terminal spikelet formation were significantly influenced by waterlogging stress, where the most negative effect was recorded for 30 days waterlogging treatment. The grain yield, the number of spike m-2, the number of grains per spike, the grain weight per spike and the biological yield were also affected by waterlogging stress. According to the results, for each day of waterlogging, a reduction equal to 1.5% was obtained for grain yield. The effect of reparative fertilizer (except for 1000-kernel weight) was significant for other traits. In conclusion, by application the reparative fertilizer the grain yield increased and waterlogging damage was reduced.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert