فهرست مطالب p. pezeshkpour

The aim of the present study was to evaluate and interpret the genotype × environment interaction for advanced rainfed lentil lines. Fifteen advanced rainfed lentil lines (genotypes) along with two commercial cultivars (cv. Gachsaran and cv. Sepehr) as check were evaluated using randomized complete block design with three replications in Gachsaran, Moghan, Khorramabad and Ilam field stations in Iran in 2019-20 and 2020-21 cropping seasons. The mean seed yield of trials was 891 kg ha-1. Genotype 10 with 1031 kg ha-1 had the highest mean seed yield, and genotype 16 (cv. Gachsaran) with 728 kg ha-1 had the lowest. Since genotype × environment interaction was significant, yield stability analysis was performed. Evaluation of the seed yield stability of genotypes by rank method showed that genotypes 12 and 10 had high seed yield and yield stability. In addition, yield stability analysis using WAASB index, as a multivariate method, was also performed. The seed yield × WAASB index biplot showed that most of the lentil genotypes had higher seed yield and yield stability than the check cultivars (cv. Gachsaran and cv. Sepehr). Genotypes 12, 13, 11, 10 and 1 had higher seed yield and yield stability than the superior check cultivar (cv. Sepehr). Considering the equal contribution for mean seed yield and yield stability in the calculation of WAASBY index, genotypes 10, 13, 11, 12, 1 were ranked as the most desirable genotypes for target environments.

In this study, 14 advanced chickpea genotypes selected from regional experiments with Adel and Azad, as control cultivars, were cultivated in a randomized complete block design with three replications in eight environments (Gonbad, Gachsaran, Ilam and Khorramabad in three, two, two and one years, respectively) in Iran during 2017-2020 growing seasons. Combined analysis of variance showed that environment, genotype and genotype by environment interaction (GEI) explained 43.5, 19.8 and 36.7% of the total variation of grain yield, respectively. The first and second principal components accounted for 50.89% and 19.39% of variation, respectively. The polygonal view of biplot showed that genotypes G11, G14 and G9 were the most adaptable genotypes for environments E2, E3, E6, E7, E8, E4 and E5 and G8, G5 and G13 for E1. Based on average tester coordinate (ATC) view, genotypes G11, G5, G13 and G14 were the most stable and high-yielding genotypes. The GGE-biplot based on genotype-focused scaling showed that genotypes G11, G14, G8, G9 and G13, in the circles around the ideal genotype, were the most preferred genotypes. The priority index (PI) showed that in all environments and favourable environments (environments with higher than average grain yields), genotypes G11, G9, G16, G13 and G14 and in unfavourable environments (environments with lower than average grain yields), genotypes G11, G13, G14, G12 and G5 were superior genotypes. Based on different biplot views as well as priority index, genotypes G11, G14 and G5 had grain yields higher than average yield and yield of Adel and Azad cultivars. Further, given their grain yield stability in all environments they can be suitable candidates for introduction of new cultivars.

Sixteen chickpea genotypes and two commercial cultivars; Adel and Azad as check were evaluated under rainfed conditions using randomized complete block design with three replications at four filed stations; Gachsaran, Gonbad, Khorramabad and Ilam for three cropping seasons (2016-2019). Genotypes 5, 12, 11, 17 and 4 had the highest seed yield. Genotypes 18, 16, 6, and 3 had high seed yield stability based on Shukla variance (2i ), Wrick's equvalence (Wi), root mean square error (RMSE), Si1 and Si2 statistics. Genotypes 16 and 18 with regression coefficient close to one, seed yield higher than average yield and the lowest deviation from regression line were the superior genotypes. Analysis of variance using Eberhart and Russell method showed a significant genotype × environment interaction effect (linear) which indicated different response of genotypes to environmental conditions. Genotypes 4, 5, 9, 11, 12, 15, 16 and 18 were the best genotypes based on yield-stability index (YSi). Based on TOP nonparametric statistics, genotypes 5, 12, 15, 9 and 4 were superior genotypes. Based on Lin and Binns priority index, genotypes 12, 5, 11, 17 and 18 were desirable genotypes in all environments. In conclusion, genotypes 4, 5 and 12 can be considered as high yielding with yield stability and suitable for further verification in research and development projects.

Tolo common vetch forage cultivar with original name of VS-Jordan 2628 was initially entered to the country through ICARDA vetch nurseries in 1997-98 and it was evaluated in the adaptability test of the international germplasm at Kohgiluyeh and Boyer-Ahmad (Gachsaran) and Lorestan (Kuhdasht) provinces. In Gachsaran, Tolo was selected based on its grain yield of 1077 kgha-1 and higher grain yield compared to the local check and in Kuhdasht area it was selected based on its dry forage and grain yield of 1032 and 465 kgha-1, respectively. In the preliminary yield trial in 1998-99, Tolo had dry forage and grain yields of 4438 and 1719 kgha-1, respectively. Also, in the advanced yield trial in 1999-2000 it had dry forage and grain yields of 2430 and 1080 kgha-1, respectively, and exhibited significant superiority to the local check. In the elite yield trial which was conducted in 2000-01 in Kuhdasht and Gachsaran regions, Tolo with average dry forage and grain yield of 2840 and 1216 kgha-1, respectively, as well as mean of rank, standard deviation of rank and coefficient of variation of 4.5, 3.51 and 17.1% for dry forage and those of 1.5, 0.58 and 52.9% for grain yields, respectively, had superior performance compared to the other genotypes and check cultivar. Tolo cultivar, in on-farm experiments conducted in different regions of Kohgiluyeh and Boyer-Ahmad province during 2001-02, 2004-05 and 2013-14 cropping years, showed higher yield performance compared to the local check cultivar and other studied genotypes. Also, its forage quality was significantly superior to alfalfa and vetch cultivar Lamei. Other important characteristics of Tolo cultivar were high initial growth rate, rapid canopy cover, high grain filling rate and high 100-seed weight compared to local check.

Lentil cultivar Sepehr was first introduced as FLIP 2005-53L line through LIDTN-L-08 ICARDA international nursery and was evaluated in Gachsaran and Maragheh stations in 2007-2008 cropping season. FLIP 2005-53L line in the cropping seasons 2008-2009 and 2009-2010 was evaluated in the preliminary and advanced yield trials in Gachsaran and Khorramabad research stations. After evaluating the results of advanced experiments, this line was selected to participate in the national uniform regional yield trial (2010-2013) in Gachsaran, Khorramabad, Gonbad and Moghan research stations. Stability analysis of genotypes grain yield in this experiment showed that this line had the lowest contribution in the interaction of genotype × environment using different statistical methods and also it had the lowest mean rank values ​​for non-parametric stability parameters as well as 19% increases in the grain yield (with grain yield of 1166 kgha-1) ‌ compared to the control cultivar Gachsaran (with grain yield of 978 kgha-1) and therefore can be considered as "one of the most stable genotypes" with high grain yield. FLIP 2005-53L line with average grain yield of 1902 kgha-1 in farmers field in the research-extension trials, had a 15% advantage of grain yield over control cultivar Gachsaran with grain yield of 1651 kgha-1. In addition to high grain yield, good yield stability, high resistance to fusarium disease, desirable 100-seed weight (4.2 g) and suitable plant type and plant height for machine harvesting were other reasons for releasing Sepehr cultivar. Sepehr cultivar is suitable for cultivation in subtropical regions of the country including Khuzestan, Fars, Kohgiluyeh and Boyer-Ahmad, Lorestan, Kermanshah, Ardabil (Moghan) and Ilam provinces.

In this study, 18 lentil genotypes were grown under rainfed conditions for three growing seasons (2013-2016) in Gachsaran, Ilam and Khorramabad field stations in Iran. Analysis of additive main effects and multiplicative interaction (AMMI) revealed that the effect of environment, genotype and genotype by environment interaction and the first three principal components were significant for seed yield. According to the simultaneous selection indices: ssiASV; G12, G16, G8, G9 genotypes and G2, ssiSIPC: G11, G12, G9, G2 and G7 genotypes, ssiEV; G9, G11, G2, G7 and G15 genotypes, ssiZA; G12, G9, G2, G16 and G7 genotypes, and ssiWAAS; G12, G9, G16, G2 and G8 genotypes were identified as genotypes with yield stability. Polygon view of biplot demonstrated that G2 and G12 genotypes with yield stability. The average tester coordinate (ATC) view of biplot illustrated that G1, G10, G18 and G12 genotypes, in addition to high grain yield, had seed yield stability. G1, G16, G8, G18, G10, G15 and G12 genotypes were desirable based on the ideal genotype view of biplot. The vector view of GGE biplot indicated that the first environment (Gachsaran in 2013-2014) was highly discriminating and representative, and could discriminate the genotypes with yield stability. In conclusion, based on different views of biplot and simultaneous selection indices using AMMI analysis, G12 genotype was identified as superior genotype and can be considered as a candidate for being released as new lentil cultivar for dryland conditions.

Presence of genotype × environment interaction necessitates evaluation of genotypes in a wide range of environments to find desirable genotypes. This study was carried out to determine the stability and adaptability of grain yield of 17 chickpea genotypes, in RCBD with four replications at Kermanshah, Lorestan, Ilam, Gachsaran and Gorgan Research Stations during two seasons (2003-2004). The genotype × environment interaction effect analyzed using the additive main effects and multiplicative interaction (AMMI) statistical model was significant at 1% level of probability. The sum of squares of G × E interaction was partitioned by AMMI model into four significant interaction principal component axes (IPCA). The first four principal component axes (IPCA 1, 2, 3 and 4) cumulatively contributed to 94% of total genotype by environment interaction. A biplot generated using genotypic and environmental scores of the first two AMMI components also showed that genotypes FLIP 97- 79, X95TH1 and FLIP 97- 114 were selected as stable genotypes, among which the genotype FLIP 97- 114 was outstanding for high yield stability.

The effects of Chickpea (Cicer arietinum L.) varieties, and sowing dates on weed interference were investigated in a 2-year (2002-3, and 2003-4 growing season) field experiment in Agricultural Research Station of Kohdasht in Lorestan Province. The experimental design was a randomized complete block in factorial arrangement with 3 replications. The experiment had 3 factors: weed interference at 2 levels (weed free, and weed infested throughout the total growing season), planting date at 3 levels (autumn, winter, and spring) and Chickpea varieties at 3 levels (ILC482, Hasham, and Greet). Weed density in autumn sowing plots was more than 3 and 7 times greater in autumn chickpea than in winter and spring sowing plots, respectively. Weed biomass in autumn sowing was 2.5 times as much as winter or spring sowing. Wild safflower and volunteer barley were the most frequent among the weed species. Volunteer barley was mainly present in autumn and winter planting dates. Wild safflower was among the weed species that in addition to competition, caused much difficulty to chickpea harvesting. Based on the hyperbolic curve fitted to the data, Chickpea maximum biomass reduction due to weed competition was estimated to be 91.8 %.