Similarity Patterns and Stability of Environmental Response in Sunflower Hybrids (original) (raw)
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Study the Seed and Oil Yield Stability of Sunflower Hybrids across Environments
Asian Journal of Advanced Research and Reports, 2020
Aims: This study was conducted to investigate the nature of genotypes-environments interaction (GEI) and identify the most stable sunflower hybrids that can give high seed yield with high oil yield under a wide range of environmental conditions in Egypt. Place and Duration of Study: Fifteen hybrids were evaluated across three years (2017 to 2019) and three locations (Giza, Ettay El-Barod and Shandaweel). Study Design: The experiments were laid out in Randomized Complete Block Design (RCBD) with three replications. Methodology: Analysis of variance, some stability methods as additive main effects and multiplicative interaction (AMMI) and genotype main effects and genotype-by-environment interaction effects (GGE-biplot) were conducted. Results of stability indices were ranked as AMMI Stability Value (ASV), yield stability (YSI) and rank-sum (RSI) and heritability was estimated. Results: Combined analysis revealed that GEI was highly significant, indicating the possibility of selection for stable ones. AMMI analysis confirmed that the seed yield performance of sunflower Original Research Article Ahmed et al.; AJARR, 13(2): 28-42, 2020; Article no.AJARR.59542 29 hybrids was largely influenced by the environment. On the contrary, environments recorded less impact on oil yield as compared to the effect of hybrids (genetics). Then, heritability estimate of oil yield trait (93.86%) was higher than the seed yield one (31.10%). Indices of YSI and RSI presented that hybrids (H15, H7 and H11) and (H7, H8 and H15) were the best stable promising ones in seed and oil yield, respectively. GGE-biplot analysis indicated that hybrids (H15, H7, H4 and H11) and (H7, H15, H8 and H15) were considered as the most ideal for seed and oil yield, respectively whereas Shandweel was the ideal environment for both. Conclusion: Therefore, all analyses agreed on hybrids H15, H7 and H11 were considered as the most desirable and stable ones. These hybrids can be recommended for wider cultivation due to better seed and oil yield with stable performance across the test environments.
Selection of sunflower hybrids based on stability across environments
Genetika, 2019
Bearing in mind that the sunflower production in Serbia is extensive, it is very important to select a hybrid that will achieve stable and high seed and oil yields in different enviromental conditions. The objective of the study was to identify the most stable sunflower hybrids for seed and oil yield using AMMI model analysis. Nine newly developed early, medium early and medium late hybrids were tested. Hybrids were grown in different locations across Northern Serbia during two growing seasons (2013-2014). Selected locations are geographically close, but environmentally different in terms of soil, rainfalls and temperature, thus creating a specific microclimate conditions for sunflower growing. Pooled analysis of variance for seed and oil yield showed that the main effects of hybrids, environments and their interaction were highly significant. The agro-ecological environment E3 is most favourable for achieving high seed and oil yields, but E9 was the most stable. According to result...
Evaluation of Sunflower Hybrids in Multi-Environment Trial (Met)
Turkish Journal Of Field Crops
Sunflower has been proposed as a potential crop model for an adaptation to a changing environment and special attention should be paid to testing hybrids under different environments. Additive main effects and multiplicative interaction model (AMMI) supplemented with genotype main effects and genotype by environment interaction effects (GGE) were used for dissection of genotype by environment interaction and evaluation of hybrids and testing environments. The research included 24 sunflower hybrids grown across twelve environments. AMMI analysis identified four significant interaction principal components (IPC), while in GGE biplot the first two IPCs accounted together for 44.59%. Environmental factors contributed the largest proportion in the total variation of seed yield (67.40%), followed by interaction and genotypes. High yielding hybrids H1, H14 and H11 showed specific adaptation to environments E10 and E1, respectively. The average environment coordination (AEC) view of GGE biplot indicated H17 as the most desirable genotype regarding seed yield. From the results of this study it can be concluded that MET trials are important not just for evaluation of stability and choosing the most stable genotypes, but also the genotypes that will perform well in low yielding environments and be able to take advantage of the favourable environmental conditions.
Evaluation of Sunflower (Helianthus annuus L.) Hybrids Using Multivariate Statistical Analysis
Helia, 2015
Evaluation and characterization of sunflower hybrids using morphological, physiological and biochemical data are necessary and essential in sunflower breeding programs. The aim of this paper was to evaluate the productive possibilities of some sunflower hybrids grown in Macedonian environmental conditions. The experiment was carried out during the period 2013 and 2014 on the research field of the Faculty of Agriculture, “Goce Delchev” University – Shtip, in Ovche Pole locality, Republic of Macedonia. Total 20 sunflower hybrids were used as an experimental material. The trial was arranged as randomized complete block design (RCBD) with three replications. The average content of oil and oleic acid were 45.6 and 65.2%, respectively. The highest seed yield from all sunflower hybrids was obtained for the hybrid NLK12M144 (3,344 kg ha–1) and the lowest for hybrid NLK12S126 (2,244 kg ha–1). Cluster analysis classified the sunflower hybrids into four groups based on agronomic traits and see...
Stability and G × E Analysis of Oil Yield of Sunflower Single Cross Hybrids In Diverse Environments
Multi-environment trials have a fundamental role in selection of the best genotypes across different environments before its commercial release. This study was carried out to identify high-yielding stable sunflower genotypes using the graphical method of the GGE biplot. For this purpose, 11 new hybrids along with four cultivars were evaluated in a randomized complete block design with four replications across 8 environments (combination of years and locations) during 2018–2020 growing seasons. The results indicated that genotype (G), environment (E) and genotype × environment (G×E) effects were significant for oil yield. The G, E and G×E interaction effects accounted for 51.94, 9.50 and 18.67% of the total variation, respectively. Results of biplot analysis showed that the first and second principle components accounted 45.9% and 20.4%, respectively, and in total 66.3% of oil yield variance. GGE biplot analysis indicated two major mega-environments of sunflower testing locations in ...
Continuous sunflower breeding work at the Agricultural Institute Osijek results in the creation of new hybrid combinations which are then tested in a network of micro and macro trials. This paper presents the results of the investigation on seven sunflower hybrids: one standard and six new hybrid combinations (OS-H-2 to OS-H-7) from the Agricultural Institute Osijek, in a period of four years (2012-2015) at a location in Osijek. Trials were set as RCBD and the most important sunflower traits were analyzed: grain yield, oil content and oil yield. The results indicate that the values of analyzed traits were significantly impacted by year (and respectively by weather conditions), hybrid and the year x hybrid interaction. The highest yield was observed in 2013, when grain yield achieved 6.243 t/ha and oil yield 2.889 t/ha. The highest oil content was recorded in the year 2012 (51.35%). The highest grain yield was achieved by the hybrids OS-H-4 (6.257 t/ha) and OS-H-2 (5.911 t/ha), and oil content by hybrids OS-H-3 (51.83%) and OS-H-4 (51.62%). The hybrid OS-H-4 had the highest oil yield (2.944 t/ha), and it can therefore be considered as a promising hybrid for application on the recognition process in the country and abroad.
Romanian Agricultural Research
Sunflower breeders, working for a model of sunflower, must know the main characteristics of the environment for which they are developing the hybrids, starting from soil type, potential growing season length, mean, minimum and maximum temperatures (per month) and the amount and distribution of rainfall, during the year. The creation of hybrids with high potential of productivity, must take into consideration the high adaptive potential to the ecological environment. We studied a set of 18 sunflower hybrids, in two years (2018 and 2109), in four locations, situated in different areas of Romania: Cogealac (south Romania), Şimleu Silvaniei (western Romania), Negreşti (eastern Romania) and Mircea Vodă (south-eastern Romania). The hybrids were cultivated in two randomized replications. Comparing the two years, 2018 and 2019, regarding the air temperature and the amount of rainfall, in sunflower vegetation period, year 2018 was generally dryer, compared with 2019. Results showed that the ...
Growth and yield of three sunflower hybrids cultivated for two years under Mediterranean conditions
Emirates Journal of Food and Agriculture, 2016
Sunflower (Helianthus annuus L.) is globally one of the most important oil crops. A 2-years field study was conducted to evaluate growth, grain and oil productivity of three sunflower hybrids (PR64E83, Oleko and PR63A90). Plant height, number of green leaves, weight of 1000-grains and grain number were significantly affected by the interaction of year and sunflower hybrid. Grain yield resulted to differences ranged among 13 and 34 % between the two years. In 2009, Oleko and PR63A90 were the most productive hybrids regarding seed (8210 and 7500 kg/ha, respectively) and oil (2960 and 2950 kg ha-1 , respectively), while PR63A90 was the significantly more productive hybrid during the second year (2010). Hybrids such as Oleko seem ideal for high grain and oil yield (with a high concentration of monounsaturated fatty acids); however they fit better to a crop rotation, probably due to a high phytotoxicity of their residues which reduces the yield of the second year. On the contrary, the ability of some non high-oleic hybrids such as PR63A90 to keep high grain yield even in the second year of their cultivation in the same field is clearly a very desirable trait and it should be further tested, since it can result to very high oil yield.
Interaction hybrid × planting date for oil yield in sunflower
Journal of Agricultural Sciences, Belgrade, 2010
The aim of the study was to assess the effects of hybrids and planting dates as well as their interaction on oil yield in sunflower for three-year experiment (2005, 2006, 2007). Three sunflower hybrids (Miro, Rimi and Pobednik) and eight planting dates were included in the experiment. AMMI (Additive Main Effects and Multiplicative Interaction) analysis is one of the mainly used multiplicative models, which evaluates main effects and also interaction. The interaction was detected by using AMMI1 biplot. Oil yield was predominantly influenced by the year of growing (58.9%), then by planting date (12.9%) and by hybrid (10.7%). All interactions were significant as well. AMMI ANOVA showed high significance of both IPC1 and IPC2. The contribution of IPC1 was 77.5%. Hybrids Miro and Pobednik showed no significant differences in the mean values, which were higher than average. However, the hybrid Miro showed the highest stability for oil yield. Hybrid Rimi, with the lowest mean value, was th...
Effects of Planting Date, Genotype, and Their Interactions on Sunflower Yield
Crop Science, 2002
nant determinants of the S effect on oil-corrected grain yield, and the genotype-specific responses for harvest Sunflower (Helianthus annuus L.) yields are strongly reduced by index were the dominant determinant of the observed late sowing dates. The objectives of this study were to investigate the physiological bases of the sowing date (S), genotype (G), and G ϫ S interaction. We also found that the hybrids that genotype ϫ sowing date (G ϫ S) interaction effects on sunflower improve their relative performance at late planting dates yield and contribute to development of ideotype-based selection stratare characterized by canopy stay green, indicating that egies for improving yield at late plantings. Nine differentially adapted this trait can be used as putative indicator of adaptation hybrids were evaluated during two seasons at normal and late planting to late planting dates. dates at Venado Tuerto, Argentina, by means of the framework that In the present paper we analyze the results of the same defines oil yield as the product of grain number and weight and oil experiments using the framework which views crop oil concentration. Sowing date was the major source of variation for oil yield as the product of its primary components (i.e., yield. The G ϫ S interaction, in turn, accounted for a portion of the total variability four times higher than the contribution of G. The S grain number, grain weight, and grain oil content). and G ϫ S interaction effects on grain number were mostly determined Other authors (Robinson, 1970; Johnson and Jellum, by grain set in the central portion of the capitulum. Duration of grain