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Yield and yield components of promising soybean cultivars and lines (Glycine max (L.) Merrili) under water stress conditions
Author(s):
1. Alireza Niyazmand: Department of agriculture and plant breeding,Tabriz branch, Tabriz,Iran
2. Milad karimi: Department of agriculture and plant breeding,Tabriz branch, Tabriz,Iran
Abstract:
In the present study, an experiment was conducted in order to evaluate the yield, yield components and physiological traits of different soybean cultivars and lines under water stress conditions and identify the resistant cultivars under climatic conditions of the city Tabriz in 2019-2020 crop year. The experiment was actually a split plot conducted using a randomized complete block design. In the present study, irrigation levels included: 1- no water stress 2- post-poding water stress. Water stress was recognized as the primary factor and soybean cultivars and lines were recognized as secondary factor and the experiment was conducted in three replications. The primary factor (water stress) imposed significant changes in terms of plant dry weight, grain weight per pod, 1000-grain weight, biological yield, economic yield (p=5% ) and the secondary factor (cultivars and lines) imposed significant changes in terms of all evaluated traits (p= 1%.). The interaction between the primary and secondary factors imposed significant differences in terms of grain weight per pod and biological yield (p=5 and 1%. Respectively). With any rise in…. yield and yield components decreased compared to nonstress conditions. highest grain yield (average: 3022.18 kg) was obtained in the No stress treatment (normal) which was found to be about 11.11% higher than the grain yield obtained under post-poding stress treatment (average: 268522 kg). In other words, grain yield decreased as water stress increased. Arian and Kowsar lines were selected as the best and worst cultivars in terms of yield and yield components, respectively.
Page(s): 626-633
DOI: DOI not available
Published: Journal: Bioscience Research, Volume: 19, Issue: 1, Year: 2022
Keywords:
Yield and yield components , Soybean , Irrigation levels
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