جستجوی مقالات مرتبط با کلیدواژه « autumn sowing » در نشریات گروه « زراعت »

Chickpea (Cicer arietinum L.) is one of the most important legumes in the world (Keifer, 2018). After India, Australia, and Pakistan, Iran has taken the fourth rank in terms of chickpea cultivation area, and the decrease in rainfall and especially the plant's exposure to heat and drought stress at the end of the season is the reason for the decrease in crop yield (SabaghPour et al., 2010; FAO, 2018). In general, drought stress and its relationship with the reduction of yield and its components in crops plants can be primarily attributed to the closing of stomata in response to low soil water content, during which the entry of carbon dioxide into the leaf is reduced, and as a result, it causes a reduction in photosynthesis.

In order to investigate the effect of irrigation regimes on the yield and yield components of chickpea (Cicer arietinum L.), an experiment was conducted at the research farm of Shahed University during 2021–2022 as a split plot design in the form of random complete blocks. The first factor is irrigation systems at three levels: 1) supplementary irrigation (Irrigation at two sowing times and before flowering based on 20% available soil water, 2) complete or control irrigation (irrigation based on 20% available soil water), 3) Low irrigation regime (irrigation based on 40% available soil water) is the second factor of autumn (November 15) and spring (March 15) sowing dates. Irrigation was carried out in the form of streams and stacks, and the ends of the plots were completely closed to prevent water from escaping. Data analysis and calculations related to simple Pearson correlation coefficients between traits were performed with SAS (ver 9.4) and SPSS (ver 23) software, respectively, and the average of treatments was compared by LSD test at a statistical level of 5%. The graphs were drawn using Excel software.

The results of the variance analysis of the interaction between irrigation regime and planting date showed that there is a significant difference between the traits of number of branches per plant, number of pods per plant, plant height, number of seeds per plant, harvest index, biological yield and seed yield. The results of comparing the averages also showed the highest number of branches per plant (9.83), the number of pods per plant (30.5), plant height (51.08) cm, and the number of seeds per plant (26.66). The harvest index was 0.48 percent, the biological yield was 4670 kg ha-1, and the seed yield was 2384.17 kg ha-1 for the autumn planting date treatment under the autumn irrigation regime (irrigation based on draining 20% of crop capacity moisture). The highest correlations with grain yield were obtained by traits: plant height (r = 0.986**), number of branches per plant (r = 0.966**), harvest index (r = 0.962**), number of seeds per plant (r = 0.961*), biological yield (r = 0.956**), hundred seed weight (r = 0.933**) and number of empty pods per plant (r = 0.880*).

In general, the results of this experiment indicate that the Low irrigation regime is more efficient than Supplementary irrigation in all traits after the control irrigation regime in autumn sowing. Therefore, the Low irrigation regime is suggested as a low irrigation regime suitable for the conditions of the tested region for the sowing of chickpeas in autumn, and in addition, other autumn sowing dates of this variety should be studied.

Chickpea is one of the most important crop for rainfed condition, which plays an important role in the agriculture sustainability. Chickpea generally is known as a sensitive crop to many herbicides and has a poor ability to compete with weeds in the early growth stage because of its slow growth rate and low leaf area at the early stages of crop growth; therefore, weeds become a serious problem in autumn sowing conditions. Development of herbicide-tolerant varieties could be considered as a suitable way to cope with weeds. Identification of herbicide-tolerant genetic resources is necessary for use in breeding herbicide tolerant varieties. The aim of this study was to investigate the genetic diversity of Kabuli chickpea varieties and advanced breeding lines in response to the post-emergence application metribuzin and imazatapir herbicides.

In this research, the genetic diversity of 150 Kabuli chickpea genotypes was studied for tolerance to the post-emergence application of Metribuzin and Imazethapyr herbicides. For this purpose, 50 and 150 genotypes was evaluated in the experimental filed of Dryland Agricultural Research Institute (Sararood Branch) during 2019-20 and 2020-21 cropping seasons, respectively. Three separate trials (control, spraying with Metribuzin, spraying with Imaztapyr) were conducted using an alpha-lattice design with two replications in each cropping seasons.

According to the results of this research, genotypes showed significant variation for tolerance to the mentioned herbicides. The genotypes were more sensitive to Metribuzin than to Imazethapyr. Metribuzin and Imazatapir reduced the grain yield by 27% and 15%, respectively. Among the studied cultivars, Adel, Goksu, Aksu and Arman were more tolerant to the Imazethapyr in comparison with other cultivars. The superior genotypes identified in this study could be used in breeding programs for development of herbicide-resistant cultivars.

Water is the most significant limiting factor for sugar beet cultivation in Iran. Autumn sowing of sugar beet in dry climates like Iran consumes less water compared to spring sowing and can be a more suitable option for taking advantage of autumn and winter rains and dealing with the water shortage crisis. It seems that the transfer of sugar beet cultivation from spring to autumn will cause that in addition to consuming much less water in this type of cultivation and increasing the efficiency of water consumption, it will have a significant economic benefit for farmers and will spread quickly. But autumn sowing is facing problems in many areas. Therefore, the current research was conducted to investigate the effect of winter sowing on the quantitative and qualitative characteristics of sugar beet. The experiment was conducted in the form of a randomized complete block design with four replications on 11 early maturity sugar beet cultivars at Jovein, Torbat-Jam, and Moghan agricultural research stations for one, two, and three crop years, respectively. In order to study the effect of genotype-environment interaction and to identify genotypes with general and specific stability, AMMI and MTSI stability analysis methods were used. The combined analysis of variance results based on the AMMI model confirmed the significant effect of the main effects of environment and cultivar at the one percent probability level. The interaction between them also showed a statistically significant difference at the one percent probability level. The analysis of the multiplicative effects of the AMMI model confirmed that the first two components are significant at the one percent probability level and together explain 75.20% of the interaction variation. The bi-plot obtained from the mean white sugar yield and the first principal component of the interaction confirmed the superiority of FDIR19B4028 and Modex cultivars due to their high white sugar yield and stability. According to the bi-plot results obtained from the first two components, there was no appreciable specific adaptability between cultivars with Moghan environment in 2021 and 2020, but on the other hand, a very high specific adaptability was observed between Moghan environment in 2019 with Modex cultivar, Torbat-Jam in 2021 and 2020 respectively with Asia and SVZD2019 cultivars, and Jovein with SVZC2019 cultivar. Cadmus cultivar has general adaptability because it is somewhat close to the origin of the coordinates. Based on the results of the MTSI index, SVZD2019 was ranked first, and FDIR19B4028, Dravus, and FDIR19B3021 were placed in the next ranks of the most ideal sustainable cultivars in terms of all studied traits. In general, four cultivars of SVZD2019, FDIR19B4028, Dravus and FDIR19B3021 are recommended for winter cultivation. The obtained results show that the development of winter sugar beet sowing is certainly one of the important strategies for using seasonal rains and saving water consumption; In this regard, in the winter sowing of sugar beet, choosing the suitable cultivar plays a very vital role, so that it affects most of the quantitative and qualitative characteristics.

The aim of this study was to evaluate the effect of reducing nitrogen fertilizer application as well as foliar spray of zinc sulfat on the quality characteristics of two sugar beet cultivars in autumn cultivation. The study was conducted in a factorial design based on randomized complete block design with three replications at the Faculty of Agriculture in Lorestan University during two crop seasons (2017-19). The Experimental treatments included two autumn-sown sugar beet cultivars (Chimene and Rosagold) and four fertilizer levels including F1: 138 kg ha-1 nitrogen (control), F2: 124 kg ha-1 nitrogen and foliar spray of zinc sulfate, F3: application of 110 kg ha-1 nitrogen and foliar spray of zinc sulfate, F4: 96.6 kg ha-1 nitrogen and foliar spray of zinc sulfate at a rate of 5/1000. The highest root yield (90.15 t ha-1) belonged to Rosagold cultivar and among the treatments, the highest root yield was related to F2 treatment. The highest sugar content (16.15%) was obtained in 20% reduction in nitrogen application and foliar spray of zinc sulfate. Also, the highest white sugar content (15.57%) was obtained from Rosagold cultivar in 20% reduction in N fertilizer application and foliar spray of zinc sulfate, which showed 26.17% increase compared with control treatment (F1). The highest molasses sugar and Na, K and α- N as 2.7, 2.61, 7.90 and 2.90 meq 100 gr beet-1, respectively was observed in Chimene. Also, the highest bolting percentage was obtained in Chimene and the application of 300 kg ha-1 nitrogen. According to the results of this study, it can be concluded that autumn cultivation of sugar beet using Rosagold cultivar is possible in Khorramabad region and foliar spray of zinc sulfate can compensate the reduction of nitrogen consumption by 20% without reducing the quantity and quality of autumn sugar beet.

Climate changes along with recent droughts and short growth period of spring planting date are important factors causing non-economic and low yield production of chickpea in Iran. Ata variety with breeding code of x03TH148 was received from ICARDA in 2004 through Chickpea International Segregation Generations Nursery. This line was evaluated in international, preliminary, advanced and adaptability yeild trials as well as studies on fusarium wilt and ascochyta blight diseases resistance at agricultural research stations and under farmers’ fields conditions in autumn planting date.  Based on results of adaptability trials, this variety had suitable agronomic and economic characteristics such as potencial for machinery harvesting, average seed yield of 886 kgha-1, with 11% superiority to Jam check cultivar and cold tolerance to -16.9°C in the areas without snow covering during emergence. The new variety with average yield of 2061 kgha-1 showed considerable superiority to Saral check (1345 kgha-1) in farmers’ fields. Considering high seed yield, tall plant height, large seed size, suitable seed protein content, tolerance to ascochyta blight and fusarium wilt diseases and marketable traits, Ata was released and recomended for autumn sowing in the temperate and cold regions of Iran.

In order to compare and determine the potential, and compatibility level of different sugar beet (Beta vulgaris L.) cultivars at different planting and harvest dates, a two years (2014-16) trial was conducted in Etka Dehloran field. In the first and second year, the trial was performed in split plot- and split-split plot based on randomized complete block design, respectively with three replications. In the first year, the main plots consisted of 15 cultivars and the planting date of 2nd October 2014 and the split plots included harvest dates of 14th and 30th April 2015. In the second year, the main plots consisted of five selected cultivars from first year trial, three planting dates (16th September, 1st and 16th October) in split plots, and three harvest dates (14th and 30th April and 14th May) in split split plots. The evaluated traits were root yield, sugar content, sugar yield, white sugar yield, Na and K content and extraction coefficient of sugar. Results of analysis of variance in the first year showed that there was a significant difference between the cultivars in terms of studied traits. According to the evaluated traits, among 15 studied cultivars and based on bolting resistance, Antek, Azaba, Silvetta, Spartak, and Sharif were superior to other cultivars; therefore, these cultivars were selected for continuous screening in the second year of the trial. In the second year, there was a significant difference between cultivars in terms of studied traits, so that the highest root yield was related to Sharif cultivar (83.32 tha-1). The highest sugar content (17.29%) and extraction coefficient of sugar (14.68%) were related to Silvata cultivar.

Faba bean as one of the most important legumes is an annual and cool-season plant which plays an important role in feeding human and livestock due to its protein content. Since unfavorable environmental conditions negatively affects plant growth and development, survival, productivity and natural distribution, the ability of faba bean to tolerate this conditions is of high paramount important. Although autumn sowing of faba bean results in effective use of precipitation, no need for irrigation and grain yield improvement in comparison with spring sowing, but cold stress is one of the main growth limiting factors in this season. Cold acclimation in plants is an effective process for improving cold tolerance and determining winter survival capacity. Evaluation of survival percentage and regrowth traits of plants after freezing stress is a very important criterion in cold related studies. Therefore, the present experiment was conducted to determine damage threshold of freezing stress in two faba bean landraces through survival percentage and other regrowth traits. This study was carried out as a factorial experiment based on completely randomized design with four replications under controlled conditions in research greenhouse of the research center for plant sciences, Ferdowsi University of Mashhad. Experimental factors included two faba bean landraces (Borujerd and Neyshabur) and 7 freezing temperatures (0, -4, -8, -12, -16, -20 and -24°C). Plants were cold acclimated in natural environment till to 4-6 leaf stage, before freezing stress was imposed in a thermogradient freezer. Then plants were transferred to greenhouse to be recovered. Treated plants were evaluated for survival percentage and characteristics related to regrowth such as stem height, leaf number, leaf area and leaf, stem, shoot, and root dry weight 21 days after freezing stress. Analysis of variance was performed by MINITAB ver 17 and means were compared by LSD test at 5% probability level.Graphs were drawn by Excel. Results indicated that freezing temperatures significantly affected survival percentage and other regrowth traits in a way that all the traits were decreased as freezing temperature decreased. This was more severe in temperatures lower than -12oC. All the plants were killed in -16oC. It seems that the effectiveness of cold acclimation for freezing tolerance was up to -12°C. More reduction was found in Neyshabur landrace in almost all regrowth traits in the range of Zero to -12oC compared to Borujerd and reduction of 24cm2 in leaf area and 106, 77, 184 and 101 mg.plant-1, respectively in leaf, stem, shoot and root dry weight was observed, indicating higher sensitivity of this landrace to freezing stress. A significant positive correlation was found between stem height and leaf area with shoot dry weight (r=0.98**, r=0.96**) and root dry weight (r=0.96**, r=0.91**), respectively, indicating the consistent and coordinated changes between the two mentioned traits with plant dry weight. So that, plant dry weight was decreased as stem height and leaf area were decreased at lower temperatures and these traits in -16oC were not evaluated due to the death of all the plants which indicates that the plants were not the suitable recovery at low temperatures. Despite survival percentage and other regrowth traits of faba bean were declined under freezing stress, but the reduction rate was different depending on landrace and temperature. Generally, in the present study, faba bean tolerated freezing stress up to -12oC with slight damage. So it could be concluded that in areas susceptible to freezing stress, if the planting date of faba bean is set properly, in a way that, low temperatures up to -12°C occur when plant is infour to six leaf stages minimal damage will be observed. Also, if high correlation would be found between controlled and field experiments, Borujerd landrace could be introduced as a more appropriate landrace compared to Neyshabur due to its lower reduction of regrowth traits in temperature range from Zero to -12oC.

Cultivation of autumn sugar beet is considered as a proper solution for production of the crop in arid and semi–arid regions of Iran. In order to study the feasibility of growing autumn sugar beet in southern part of Khorasan Razavi province and to determine the best sowing and harvest dates, this study was conducted in split plot factorial design in Bardeskan city in 2008-09. The treatments consisted of two sowing dates including 23th September, 12th October in split plots, seven cultivars and three harvest dates including 5th May, 22th May, and 5th June in factorial plots. ANOVA results showed significant effects for sowing date and cultivar on root yield, white sugar yield, bolting percentage, sugar yield, purity, and molasses sugar. Harvest date had significant effect on all traits except purity. Sowing date × harvest date interaction had significant effect on all traits except root yield and bolting percentage. Sowing date × cultivar interaction as well as harvest date × cultivar interaction effects were significant for all traits except purity for which the harvest date × cultivar interaction was insignificant. The highest white sugar yield (5.17 t ha-1) was produced by Giada cultivar. The highest white sugar yield was achieved in 23th September sowing date and 5th June harvest date. The mean of bolting percentage in tolerant and susceptible cultivars was 2.65 and 71.24, respectively.

Plant breeding is based on the genetic diversity. genetic diversity origin from the natural evolution and it is the most important component of the stability of biological systems and ensure long-term compatibility and the survival of the population. One of the main goals plant breeders is the Cultivars resistant to stem for autumn cultivation of sugar beet. There are more than bolting to a decrease of sugar content, root yield and purity of the raw juice are low. The purpose of this experiment was investigate the genetic diversity among Half sib breeding lines for resistance to bolting and some morpho-physiological traits. For this purpose, a test with 47 lines in a randomized complete block design with 3 genotype controls were implemented. The resulting of variance Analysis showed that the effect of genotype on percent of bolting, percent of sucrose, percent of cold resistance, leaf area, height bolting, total of root weight, length and diameter of root were significant at the 1% level. The effect of genotype on the characteristics of ionic liquids and specific leaf area was significant at the 5%level. To determine the genetic relationships among genotypes for all traits, cluster analysis using Ward's method and squared Euclidian distance as distance measure are used and the genotypes were divided into 5 groups. The discrimination function analysis group in obtained from the cluster analysis confirmed result. Also The cluster analysis based on trait of bolting with method of Ward divided genotype in to 6 groups that HSF-780 along with control varieties resistant genotypes Eudoro and Giada were in the top group.

Autumn sugar beet sowing has priority to its spring sowing in terms of economic productivity and water use efficiency. In Khorasan Razavi and Khorasan-e-Jonobi provinces, sugar beet is only sown in spring. Therefore, it is necessary to evaluate the feasibility of autumn sugar beet sowing in these regions. Using geographical information systems is the best and inexpensive way to identify suitable areas for the crop sowing. Therefore, climatic information such as temperature and rainfall were collected. Then, cumulative thermal units, biomass productivity index, vernalization time, freez risk, rainfall occurrence and day length were estimated for each station. The computed values of climatic parameters were all converted to point data in ArcGIS environment. Results showed that in most of the Khorasan Razavi regions and central regions of Khorasan-e-Jonobi, there is a risk of bolting. In southwestern Khorasan-e-Jonobi, the total hours needed for sugar beet vernalization is less than the required time. However, less than 50 mm rainfall in this area is another limitation for sugar beet autumn sowing. Also, in areas with more than 190 mm rainfall, there is a risk of freezing, lack of optimal growing degree days (GDD), and vernalization. Based on final zoning map, 4.90% of the lands in these provinces were most favorable, 16.74% as favorable, 47.98% as medium, and 30.38% were not favorable for autumn sugar beet sowing.

This study aimed to modify the current purchase formula of sugar beet into a formula with different coefficients with respect to sugar percentage of autumn sugar beet. Ahvaz sugar factory was selected as an autumn sowing factory in Iran and 163 samples were randomly taken at different delivery times in 2007 (28th April to 27th June). From each truck, one sample was taken and sugar content, water content, marc, brix, reducing sugar, sodium, potassium, amino nitrogen, molasses sugars, and extraction coefficient of sugar were determined. Simultaneouly, results of all 4084 delivery samples during the campaign of the factory including 68801 tons beet belonging to three agro-industry companies and two contractors as well as Safiabad Agriculture Research Center, were statistically analyzed for sugar content (SC), soil tare, sugar beet price per tone and the paid price per vehicle. Results showed that average sugar content for all delivery vehicles was 12.84% (in the range of 10 to 15.20%) with standard deviation (SD) of 0.847. Average sugar content of Ahvaz factory was 3 units lower than the base price (16%) and 5.5 units lower than the average SC of the country in 2007 (18.29%). Average soil tare of the delivery vehicles (estimated visually) was 11.92% (in the range of 2 to 50%) with SD of 6.613. The average soil tare of Ahvaz factory was nine units greater than the country’s average in 2007 (about 3% for 4,282,805 tones of beets). Quality analysis, results showed that the average moisture content of delivery beets from autumn sowing in Khozestan province was 79% which was 4% higher than normal beet (75% moisture content or 25% dry matter). According to the results of this research and considering the potential of the region and with the aim at increasing the sugar content of the autum sowing sugar beet in Khoozestan, new formula for purchase price with three different coefficients was introduced for SC in the range of 10 to 24%. In this formula, the purchase price for each ton can be calculated by the following equations: a) SC of 10 to 15% {base price × (((SC×12) – 80))/100}, b) higher than 15 and equal to 20% {base price × ((SC×0.065) + 0.025)} and c) SC greater than 20% {base price × 1.325} and compared and analysed with the current formula assuming two units increase in sugar content. Application of the new formula with different coefficients with respect to SC is an important step in purchasing sugar beet based on quality, increasing the average SC of the region and consequently increasing the efficiency of the factory. So, this will support the farmers who are looking for the high quality sugar beet.

To study cold tolerance (CT) of thirteen chickpea advanced lines together with Jam cultivar as check and relationship between CT and agronomic traits، two experiments were conducted under controlled and field conditions during 2010-2011 cropping season at Maragheh Dryland Agricultural Research Station. The first experiment was conducted under natural condition (fall sowing at field)، using randomized complete block design with four replications. In the second experiment، seeds of genotypes were planted in concrete boxes with one meter height from soil level، using nylon covers to prevent snow fall on planting beds during winter. Percentage of genotypes cold injeries was assessed in early spring after ending of cold. Under field condition، there were significant differences among genotypes for all studied traits. There were also significant differences among genotypes for no snow cover cold (Base cold: BC) tolerance in concrete boxes. Line FLIP 00-84C with 87% of survived plants under field condition and 23% of BC (-20ºC for two days) damage، was the most tolerant line. There was negative and significant correlation (r = -0. 56) between CT under controlled condition and number of survived plants after winter in field condition. There were also significant positive correlation between BC damage and percentage of cold damage of plants after the first and second severe colds (r = 0. 56 and r = 0. 50، respectively). In conclusion، there was a conformity between results obtained from controlled and field conditions، therefore box planting method could be recommended as a new and reliable method for evaluating cold tolerance in chickpea germplasm

In order to study of environment × genotype interaction and selection of stable and high yielding and cold tolerant chickpea lines، this study carried out with 13 chickpea genotypes along with one local check (Jam) in a RCB design with four replications during three cropping seasons (2009-2012) in agricultural research station of Maragheh (DARI). The genotypes were exposed to cold temperatures of -8. 5، -11 and -12 ◦C without snow covering during 2009، 2010، 2011 winters. Combined analysis of variance showed that there were significant differences in grain and biomass yields and highly significant differences in other characteristics (100SW، PH، DF، DM، HI، PS، CT، CH% and PC2) between genotypes. Mean comparison of grain yield showed that FLIP 99-26C، FLIP 00-84C and FLIP 00-39C with 1017، 1013 and 977 Kg/ha had more grain yield than Jam check (973)، respectively. The results of this study showed that almost all of genotypes endured -8. 5 ◦C perfectly and FLIP 00-84C showed the highest tolerance to cold. Based on ranking method، FLIP 00-84C with 3. 3 had the lowest ranking. Genotype No. 12 had the lowest SDR (0. 57). Evaluation of yield stability of genotypes with using of among years variance (S2y) showed that genotypes No. 1، 2، 9 with 0. 155، 0. 196 and 0. 217 had low variance، respectively; and they were the most stable genotypes. The conclusion of results based on variance of among years، ranking and CV methods showed that FLIP 00-84C was the most stable genotype.

In order to determine the optimum sowing and harvesting dates of two autumn sugar beet cultivars (Bete vulgaris L.) and develop the planting area of this crop، the present research was conducted in Fasa، Iran during 2005-2008. The experiment was carried out in split-split plots based on randomized complete block design (RCBD) with four replications. Three sowing dates (September 27، October 17 and November 6) were assigned to main plots، two commercial sugar beet cultivars (BR1 and Rasoul) to sub- plots and three harvesting dates (April 30، May 26 and June 20) to sub-sub plots. During the growing period، parameters such as number of plants، lost plants، growth rate and bolting percentage were determined. The root yield was measured by harvesting the roots from the two middle rows of plots. Characteristics such as root yield، sugar content، impurities (K، Na and α-amino nitrogen) and white sugar percentage، purity of raw extract، alkalinity and molasses sugar were measured. Results showed that bolting percentages of sowing dates were significantly different at 1% level of probability. The highest bolting percentage (18. 409%) was obtained from September 27 sowing date. Sowing dates (September 27 and November 6) had the lowest bolting percentage (5. 420% and 2. 870%، respectively). The bolting percentage، root yield، sugar content، impurities، and purity of raw extract، alkalinity، molasses sugar and white sugar yield of the cultivars were not significant. The maximum bolting percentage obtained from the harvesting date (June 20) was 9. 964%. Maximum root yield and white sugar yield was obtained from the sowing date (September 27) and harvesting date (June 20) which were 58. 486 and 5. 360 tha-1، respectively. With respect to the increased yield due to planting date of September 27 and harvesting date of June 20، use of bolting tolerant cultivars to ensure higher quality and yield I recommended.

Major lentil growing areas in Iran (93%) are in rainfed condition. Therefore, It is important to find genotype or genotypes with high yielding, Stable and adapted to rainfed conditions. The objective of these research was to study the stability of grain yield and adaptability of genotypes in promising lentil lines under dryland conditions. Experimental material included 11 lentil genotypes were studid using randomized compelet block design with four replications at Kermanshah, Lorestan, Shirvan, Ilam and Gonbad field Research Stations during three successive grwoing seasons (2001-04). The results of combined analysis of variance showed that year × location, genotypes × location, year × location × genotypes were significant at 1% level of probability. Statistical methods used for measuring yield stability were coefficient of variation (C.V.), Shokla's stability variance, Wrick's ecovalance, rank-sum method, coefficient of determination (R2), non-parametric methods of rank and simultaneous selection for yield and satbility. On the basis of regression coefficient of Finlay and Wilkinson genotype FLIP 96-9L, FLIP 96-4L, ILL 6037 and FLIP 92-15L had general adaptability to over environments and genotype FLIP 92-12L was suitable for favorable environments. The result of coefficient of variation indicated that genotypes FLIP 92-12L, FLIP 82-1L, ILL 6037 and FLIP 96-4L were the most stable genotypes. Shokla's stability variance, Wrick 's ecovalance and rank-sum method introduced genotypes FLIP 82-1L, FLIP 92-12L and ILL 6199 as more stable and adapted genotypes. The highest coefficient of determination (R2) belonged to genotype FLIP 92-12L. Result of stability analysis on grain yield using non-parametric methods of rank and simultaneous selection for yield and satbility showed that genotypes FLIP 92-12L and FLIP 82-1 L were superior for stability and adaptation. Based on stability parameters, it can be concluded that genotypes FLIP 92-12L and FLIP 82-1 L were the more stable genotypes.