
Evaluation of agronomic and physiological characteristics of barley genotypes in farmers' fields | ||
زراعت دیم ایران | ||
Article 7, Volume 8, Issue 2, March 2020, Pages 225-242 PDF (788.77 K) | ||
Document Type: Research Paper | ||
DOI: 10.22092/idaj.2020.127807.272 | ||
Authors | ||
Reza Mohammadi* 1; Reza Haghparast1; Mahdi Geravandi1; Abdolvahab Abdulahi1; Reza Malekhosseini2; Khodadad Yarkarami3 | ||
1Dryland Agricultural Research Institute (DARI), Sararood branch, AREEO, Kermanshah, Iran | ||
2Jahad-Agriculture Center of Songor, Lanjab branch, Songor, Iran | ||
3Jahad-Agriculture Center of Sarpol-e Zahab, Qal-e shahin branch, Sarpol-e Zahab, Iran | ||
Abstract | ||
In order to evaluate the productivity potential of some barley varieties and promising lines under no-till condition an experiment was conducted in cold (Sonqor) and warm (Sarpol-e Zahab) dryland regions of Kermanshah province during 2017-18 cropping season. In the cold condition, seven winter genotypes and in the semi-warm condition seven spring genotypes were evaluated for grain yield and some agro-physiological traits. The results of ANOVA in the cold condition indicated significant differences (P<1%) days to heading, chlorophyll content (SPAD), days to physiological maturity and grain yield. In the semi-warm condition the genotypes were significantly differed (P<5%) for normalized difference vegetation index (NDVI) and canopy temperature (CT). In cold condition, grain yield of genotypes varied from 2818 (Sahand variety) to 5864 kgha-1 (belong to breeding line G4). In the semi-warm condition, due to severe drought and terminal heat stress the grain yield of genotypes varied from 208 (Faraz cultivar) to 367 kgha-1 (local variety). Based on genotype × trait biplot analysis, in cold region genotypes G4 and G6 was the best for grain yield (YLD) with 1000-kernel weight (TKW), number of grain per spike (NGPS) and days to heading; and in semi-warm condition genotype G3 had the best results for both YLD and TKW. The profiles of trait associations were relatively different in cold and semi-warm conditions. The positive correlations of NGPS and TKW with grain yield showing the importance of these traits to enhance yield productivity under dryland conditions. | ||
Keywords | ||
Barley; grain yield; no-till; dryland condition; agro-physiological traits | ||
References | ||
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