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... literature review revealed that other studies have attempted to introduce codes for SAS (Piepho, 1999;Hussein et al., 2000;Akbarpour et al., 2016;Dia et al., 2016) or R ( Branco, 2015;Yaseen and Eskridge, 2018) to calculate some of the stability indices. Table 1 compares the available features and capabilities of these codes and packages. Currently, researchers interested in applying stability statistics are required to use several programs to obtain the desired results, and further applications are needed to describe and visualize the correlations between these parameters, which are crucial for the selection of stable varieties. ...Context 2
... statistical programs are available for stability analyses, but unlike our program they are not platform independent and cannot calculate all the required statistics. In addition to the favorable features listed in Table 1, STABILITYSOFT has the following advantages over other R and SAS packages: (1) it directly calculates different parametric and non-parametric statistics along with Pearson's correlation with high accuracy; (2) it is a cross-platform software that needs no additional downloads or installation, calculations are performed on PHP servers, and users are not limited to the processing power of their computers when using large data sets; (3) unlike other codes based on SAS and R packages, which require additional user knowledge of these packages, STABILITYSOFT has a web-based user interface; and (4) it is compatible with all major browsers (e.g., Google Chrome, Mozilla Firefox). In conclusion, we expect that this software will be useful for analyzing essential data for stability studies related to agronomy and plant breeding. ...Similar publications
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Citations
This study was aimed to investigate yield and yield components of barley (Hordeum vulgare L.) under six different environmental conditions E1- E6 including two sowing date S1 and S2 at three location (Qlyasan, Kanipanka, Chamchamal) in KIR using 10 barley cultivars (C), Numar, Rafidain, Al-warka, Al-Amal, IPPA 265, IPPA 99, Arivat (local), Samir, Qalay 1, and Ukraine (Common cultivated). Experiment was applied using to complete randomized blocks design. The stability analysis was done using the linear regression model. The differences between the means were compared through Duncan multiple range test. The results was revealed that the mean sum of squares due to cultivars, environment, and C x E were highly significant for all studied characters. The cultivar Numar which had highest mean grain yield (3.559) th-1, high bi value1.96 and low S2di 0.058) considered optimal yield stability cultivar. The combination C1E3 gave the top grain yielding (6.91 th-1) due to very high GS, high NS and good TGW performances.
The purpose of the research is to determine the stability of winter common wheat varieties according to the quality indexes: Deformation energy (W), Alveograph P/L ratio (P/L) and Swelling (extensibility) index (G). The data were collected from four locations with different climatic conditions, in three consecutive years. The evaluation of the variety stability was made for each index using a statistical program (PBSTAT), specialized for this purpose. The information from its 16 different parameters is combined into an average parameter (stab16) by which the cultivars are compared for stability. The indexes studied are influenced to varying degrees by the environmental conditions (E). As a result of a reliable genotype x environment interaction (GE), the stability ranking of cultivars according to the ranks of each of the parameters was very different. The level of stability of the variety in the studied different aspects of its grain quality is related to different levels of the indexes. For the index (G), many of the studied varieties are unstable in performance, which excludes its use for stability assessment. A limited number of varieties combine high and stable quality in different environmental conditions (G6, G7). The indexes (W) and (P/L) can be used independently to evaluate the stability of the variety, as an additional characteristic of its quality. Stability estimation by averaging the ranks of the single parameters (stab16) proves to be an effective approach for this, due to its strong positive correlations with a greater proportion of them. The applied "complex" approach for the simultaneous assessment of quality stability [W+P/L+G(16)] does not provide correct information about the variety, due to a significant discrepancy when comparing the information from each of the three indexes.
Black soybean (Glycine soja (L.) Merril) is one of the potential agricultural commodities in Indonesia. The multilocation trial is the primary requirement for variety release before farmers can widely use the new varieties. Various stability measurements on grain yields will provide more accurate information in selecting superior lines. The aims of the study were to: (i) identify the effect of genotype by environment interactions (G×E) on black soybean grain yields; (ii) select the black soybean lines with stable and high grain yields in different agroecosystems; and (iii) determine the best representative environment for testing black soybean lines. The field trials used an augmented design that was applied in three blocks for each location. The research was conducted in West Java, Indonesia, specifically in Sumedang, Indramayu, and Majalengka. The three locations are traditionally soybean production areas in West Java. The results showed that G×E significantly affected grain yields, with a contribution of 38.35%. Based on the results of stability testing using parametric, non-parametric, and genotype plus genotype by environments (GGE) biplot measurements, the G13, G22, G25, and G26 lines were considered the most stable and produced the highest yields in the three agroecosystems. In addition, Sumedang is the most representative location for testing black soybeans in Indonesia. Therefore, the four lines can be proposed as new superior lines for black soybeans with high yields and stability in three environments. Information about the relationship between the yield stability parameters can be used for the most accessible parameter selection.
The intercropping of maize with other food crops is a current solution to problems in food crop production and crop failures. The objectives of the study were to (i) select adaptive maize hybrids in intercropping as well as sole-cropping systems, and (ii) test the ideal cropping system to evaluate best hybrids for intercropping. This study used 12 maize hybrids with different genetic backgrounds. Planting was carried out for two seasons using four cropping systems. Hybrids were selected according to their adaptability and stability based on parametric, nonparametric, and multivariate analyses. The results showed that G10 had high yield for all cropping systems. G10 was also selected as an adaptive hybrid for sole-cropping, whereas G9 was selected as an adaptive hybrid for intercropping. The L5 and L4 were ideal environments for evaluating hybrids under different cropping systems. The selected hybrids should be evaluated and disseminated for small-holder farmers in Indonesia.
Multilocation experiments are the steps to determine the genotype stability being tested. Honey sweet potato is a superior agricultural product from West Java, Indonesia. High yield and sweetness are the important traits of the new honey sweet potato breeding lines. In this study, the sweetness level used was the soluble solid level (°brix). The goals of this study were to determine the effects of genotype by environment interactions (GEIs) and to select for storage root yield stability and sweetness among the new promising honey sweet potato lines. Field trials have been carried out using randomized completed block design, which was repeated thrice for the 16 genotypes, across six locations in West Java, Indonesia. To estimate GEIs, data were analyzed using combined analysis of variance. Storage root yield stability (t/ha) and sweetness (°brix) were estimated using parametric measurements, nonparametric measurements, and GGE biplot. The results showed that the genotype (G), environment (E), and GEIs have significant influences on storage root yield and sweetness. Two genotypes, SP3 and SP16, have been identified as the most stable ones with high yield and sweetness across several locations. These two superior genotypes are recommended as potential new honey sweet potato varieties for West Java, Indonesia.
