scholarly journals Non-parametric stability analyses of protein content in multi-environment trials of wheat (T. aestivum L.)

Genetika ◽  
2015 ◽  
Vol 47 (3) ◽  
pp. 795-810 ◽  
Author(s):  
Yuksel Kaya ◽  
Mehmet Sahin
Keyword(s):  
Standard Deviation ◽  
Protein Content ◽  
Parametric Stability ◽  
Ge Interaction ◽  
Stability Parameters ◽  
Breeding Lines ◽  
Wide Range ◽  
The Stability ◽  
Stability Statistics ◽  
Non Parametric

According to literature, a detailed paper has not been published yet on using non-parametric stability statistics for evaluating genotypic stability in protein content (PC) of wheat. Thus, this study aimed to investigate the stability for PC of wheat using sixteen non-parametric stability measures (YSD-PC standard deviation, RM-Rank mean, RSD-Rank?s standard deviation, RS-Rank Sum stability statistic, PA-Percentage of adaptability, R1 and R2-Range indexes, TOP-Ranking, Si(1), Si(2), Si(3), Si(6), NPi(1), NPi(2) NPi(3)and NPi(4) rank statistics, together with Y-PC mean). The study included 13 wheat genotypes, consisting of 5 registered cultivars and 8 breeding lines, selected from National Wheat Breeding Program of Turkey. The genotypes were grown in ten rain-fed environments, representative of major rain-fed wheat-growing areas of Turkey, during 2011-2013 cropping seasons. The ANOVA showed that the effects due to environments (E), genotypes (G) and GE interaction (GEI) were significant (P < 0.01). Spearman?s rank correlation and principal component analyses (PCA) also revealed that two types of associations were found between the stability parameters: the first type included Si(1), Si(2), Si(3), Si(6), NPi(1), NPi(2) NPi(3), NPi(4), RSD and YSD parameters which were related to static stability, whereas the second type consisted of the Y, RM, TOP, PA, RS, R1 and R2 parameters which are related to dynamic concept of stability. Among the 8 breeding lines, G7 and G8 were the best genotypes in terms of both high PC and stability. In conclusion it could be suggested that dynamic non-parametric stability statistics should be used for selecting genotypes with high PC and stable when tested across a wide range of environments.

Comparison of Stability Statistics as Criteria for Cultivar Development in Peanut1

1989 ◽  
Vol 16 (1) ◽  
pp. 21-25 ◽  
Author(s):  
W. F. Anderson ◽  
R. W. Mozingo ◽  
J. C. Wynne
Keyword(s):  
Breeding Line ◽  
Stability Parameters ◽  
Breeding Lines ◽  
Qualitative Traits ◽  
Stability Variance ◽  
Varying Environments ◽  
Variance Parameters ◽  
Highly Correlated ◽  
Using Data ◽  
The Stability

Abstract Means of yield and qualitative traits are assessed in multi-location tests in the final stages of breeding line evaluation. Due to large environmental variation and genotype x environment interactions, it is often desirable to compare stability of lines over a range of environments. The objective of this study was to use various stability parameters to try and determine the stability of experimental breeding lines. Using data from regional advanced peanut (Arachis hypogaea L.) breeding line yield trials conducted over 3 years and four locations in Virginia and North Carolina, the stability of peanut cultivars and breeding lines was compared. Stability variance was found to be highly correlated (0.91–1.00) with covariate adjusted stability variance. In many instances, the stability-variance parameters produced similar results to pairwise regressions and dissimilarity measures when compared with standard cultivars. However, the distance parameters and regressions provided more precise information on relative responses in varying environments of two advanced breeding lines being considered for release. This allowed for direct comparison to cultivars targetted for replacement. NC 18411 had equal mean yields and qualitative traits but better stability than breeding line NC 18423. Regression analysis indicated that NC 18423 performed best in good environments but worse than most other cultivars in poor environments. Means and stability of value per kilogram and value per hectare were highly correlated with percentage of sound mature kernels and yield (0.92–0.99), respectively. A comparison of means and stability parameters was effective in discerning superiority of peanut breeding lines for potential release and use by growers.

scholarly journals Comparison of Non-parametric Stability Statistics for Selecting Stable and Adapted Soybean Genotypes under Different Environments

2019 ◽  
pp. 1-16
Author(s):  
E. F. El-Hashash ◽  
S. M. Tarek ◽  
A. A. Rehab ◽  
M. A. Tharwat
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Rank Correlation ◽  
Static Stability ◽  
Parametric Stability ◽  
Spearman’S Rank Correlation ◽  
Ammi Analysis ◽  
Soybean Genotypes ◽  
Stability Statistics ◽  
Non Parametric

The objectives of this study were to investigate the comparison among non-parametric stability statistics and to evaluate seed yield stability of the sixteen soybean genotypes across four locations during the 2016, 2017 and 2018 growing seasons in Egypt. All trials were laid down in a randomized complete block design (RCBD) with three replications. The AMMI analysis showed ahighly significant effect of genotype (G), environment (E) and G x E interaction (GEI). The major contributions to treatment sum of squares were GEI, followed by G and E. The AMMI analysis also partitioned the total GEI component into eleven PCAs and Residual. The first eight PCAs were highly significant and accounted for about 99.56% of the total GEI. Based on the static and dynamic concepts, the results of spearman’s rank correlation and PCA showed that stability measures could be classified into three groups. The non-parametric stability statistics i.e., YSi, KR, TOP, RSM and δgy related to the dynamic concept and strongly correlated with mean seed soybean yield of stability. While, the other non-parametric stability statistics (Si(1) ,Si(2) ,Si(3)  and Si(6),NPi(1) ,NPi(2) ,NPi(3) and NPi(4)  , δr, MID, LOW) represented the concept of static stability, which were influenced simultaneously by both yield and stability. The non-parametric stability statistics in each the groups I, II, and III were positively and significantly correlated with each other, thus; any of these parameters could be considered as appropriate alternatives for each other. According to cluster analysis, soybean genotypes G6, G4, G8, G11, G9, G1, G7 and G2 were more stable varieties on the basis of mean seed yield and non-parametric stability statistics. In conclusion, both yield and stability should be considered simultaneously to exploit the useful effect of GEI and to make the selection of genotypes more precise and refined. Thus, the YSi, KR, TOP, RSM and δgy were more useful statistics in soybean breeding programmes and could be useful alternatives to parametric stability statistics. According to most non-parametric stability statistics, the genotypes G6 and G11 were more stable coupled with high seed yield; therefore, these genotypes might be used for genetic improvement of soybean and they must be released in studied regions and other regions in Egypt.

scholarly journals Stability of four Croatian bread winter wheat (Triticum aestivum L.) cultivars for quality traits

2011 ◽  
Vol 50 (No. 9) ◽  
pp. 402-408 ◽  
Author(s):  
M. Barić ◽  
M. Pecina ◽  
H. Šarčević ◽  
S. Kereša
Keyword(s):  
Winter Wheat ◽  
Protein Content ◽  
High Performance ◽  
Development Time ◽  
Quality Traits ◽  
Stability Parameters ◽  
Mean Values ◽  
Gluten Content ◽  
Wide Range ◽  
Dough Development Time

Stability of breadmaking quality of four Croatian bread winter wheat cultivars was investigated using rheological traits from the farinogram (dough development time, stability, degree of softening, water absorption, Hankoczy quality number) and the extensogram (extensibility, maximum resistance, ratio of resistance to extensibility, energy) and the indirect traits (protein content, wet gluten content, Zeleny sedimentation volume, Hagberg falling number). Stability was evaluated for four cultivars grown in 12 environments in different parts of Croatia. Four stability parameters, covering a wide range of statistical approaches, were used to estimate cultivar stability. Variability for the stability of quality among cultivars was established. The cultivars Kuna and Banica showed high performance for most quality traits and were also identified as stable for the majority of them. The cultivar Žitarka was stable for four farinogram traits showing high level of performance only for dough development time, while Marija showed stability for only three traits but with unfavourable mean values for all of them. The largest contribution of genotype by environment effects in the total sum of variance components was found for the farinogram traits stability and dough development time, while the lowest, but similar to each other for protein content and wet gluten content.

scholarly journals STABILITYSOFT: A new online program to calculate parametric and non-parametric stability statistics for crop traits

2019 ◽  
Vol 7 (1) ◽  
pp. e01211 ◽  
Author(s):  
Alireza Pour-Aboughadareh ◽  
Mohsen Yousefian ◽  
Hoda Moradkhani ◽  
Peter Poczai ◽  
Kadambot H. M. Siddique
Keyword(s):  
Online Program ◽  
Parametric Stability ◽  
Stability Statistics ◽  
Non Parametric

scholarly journals Parametric stability analyses for grain yield of durum wheat

2011 ◽  
Vol 52 (No. 6) ◽  
pp. 254-261 ◽  
Author(s):  
M. Akcura ◽  
Y. Kaya ◽  
S. Taner ◽  
R. Ayranci
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Block Design ◽  
Three Dimensional ◽  
Yield Potential ◽  
Stability Estimates ◽  
Parametric Stability ◽  
Stability Parameters ◽  
Environmental Variance ◽  
Stability Statistics

Grain yield of 15 durum wheat (Triticum durum Desf.) genotypes consisting of 13 cultivars and 2 advanced lines, tested in a randomized complete block design with four replications across 8 environments of Central Anatolian Region of Turkey was analyzed using nine parametric stability measures. The objectives were to assess genotype-environment interactions (GEI), determine stable genotypes, and compare mean grain yield with the parametric stability parameters. To quantify yield stability, nine stability statistics were calculated (b<sub>i</sub>, S<sup>2</sup><sub>di</sub>, R<sub>i</sub><sup>2</sup>, W&thinsp;<sub>i</sub><sup>2</sup>, &sigma;<sub>i</sub><sup>2</sup>, S<sup>2</sup><sub>i</sub>, &alpha;<sub>i</sub> and&nbsp;&lambda;<sub>i</sub>). Yilmaz-98, Cakmak-79, Kiziltan-91, Selcuklu-97 and C-1252 were more stable cultivars, which had 9, 8, 6, 6, 6 out of all 9 stability statistics used, respectively. Especially, among these cultivars, Yilmaz-98 and Cakmak-79 were the most stable cultivars. Furthermore, three-dimensional plots of mean response versus each stability statistic were shown to visually evaluate the yield potential and stability estimates of the genotypes. Genotype mean yield (&ndash;x) was significantly positively correlated to the regression coefficient (b<sub>i</sub>), environmental variance and genotype to the environmental effects (&alpha;<sub>i</sub>), indicating that high grain yielding genotypes had larger values b<sub>i</sub>, S<sup>2</sup><sub>i</sub>, and &alpha;<sub>i</sub>, S<sup>2</sup><sub>i</sub>, W&thinsp;<sub>i</sub><sup>2</sup>, CV<sub>i</sub>,&nbsp;&alpha;<sub>i</sub> and b<sub>i</sub>, were significantly correlated, indicating that they measured similar aspects of stability

scholarly journals Non-parametric approach to the analysis of phenotypic stability of two half-sib maize populations

Genetika ◽  
2018 ◽  
Vol 50 (3) ◽  
pp. 1081-1094
Author(s):  
Bojan Mitrovic ◽  
Dusan Stanisavljevic ◽  
Filip Franeta ◽  
Sanja Mikic ◽  
Petar Canak ◽  
...  
Keyword(s):  
Grain Yield ◽  
Environment Interaction ◽  
Phenotypic Stability ◽  
Maize Breeding ◽  
Stability Parameters ◽  
Qualitative Interaction ◽  
Maize Populations ◽  
The Stability ◽  
Stability Indices ◽  
Non Parametric

One of the most important phases in commercial maize breeding programs is the assessment of the value of newly-developed progeny by testing in hybrid combinations. In this study, non-parametric stability measures were applied to analyze the genotype ? environment interaction and to assess phenotypic stability of two half-sib maize populations, each consisting of 40 genotypes, across 9 variable environments. Non-parametric tests of significance determined the presence of qualitative interaction for grain yield in both observed populations. Results of the stability analysis showed no significant differences between the two progeny groups indicating that the used testers did not bring significant increase in stability in either of the analyzed half-sib populations. Individual genotypes were also compared based on grain yield stability within both progeny groups using the stability parameters Si(1), Si(2), Si(3) and Si(6). Association between the grain yield and stability indices Si(1) and Si(2) of the analyzed genotypes was presented graphically enabling the identification of genotypes which can be recommended for further breeding process as the most promising ones. The correlations between grain yield and stability parameters were tested by Spearman?s rank correlations. Both progeny groups (HS1 and HS2) showed no significant correlations between the grain yield and stability parameters Si(1) and Si(2), but the rank correlations between Si(1) and Si(2) values were very strong and highly significant. Highly significant negative correlations were found between grain yield and stability indices Si(3) and Si(6) in both progeny groups, and very strong and highly significant correlations were found between Si(3) and Si(6) values.

scholarly journals Grain Yield Performance and Parametric Stability Statistics of Tef {Eragrostis tef (Zucc) Trotter} Genotypes in Tigray, Ethiopia

2020 ◽  
Vol 2 (1) ◽  
pp. p70
Author(s):  
Chekole Nigus ◽  
Yanos G Mariam ◽  
Hailegbreal Kinfe ◽  
Brhanu Melese ◽  
Ataklty Mekonen
Keyword(s):  
Grain Yield ◽  
Static Stability ◽  
Eragrostis Tef ◽  
Gge Biplot ◽  
Parametric Stability ◽  
Yield Performance ◽  
Effective Selection ◽  
The Mean ◽  
The Stability ◽  
Stability Statistics

The most constraints of tef productions are lodging, drought, low yield cultivars; insect and disease affected the growth of tef. These, factors causes inconsistence performance yield due to GEI. The objective was to evaluate tef genotypes on their yield performance, stability and parametric stability to select most independent and informative statistics method. The experiment was conducted at four locations for two seasons; with design of RCBD three replications, two standard checks and 19 tef genotypes. Data was collected on grain yield and analyzed by R software and STABILITYSOFT. The analysis of variance for the combined mean of grain yield showed that there was significance difference (P<0.001) between genotypes, environments and GEI. Yield performance was influenced by Environments and GEI. The mean grain yield of genotypes over GEI varies from 820.94kg/ha to 2438.90kg/ha, while the genotype grain yield was ranged from 1382 to 1989kg/ha. G19, G17 and G6 were identified the higher grain yield performance over seven environments. Whereas, G8 and G11 were the lowest yielding tef genotypes. Nine parametric methods and GGE biplot were used to evaluate the stability of the genotypes. G19 was the most stable following G17 and would be grown for unfavorable growing environments. However, G6 was stable for favorable environmental condition. G19 and G17 had static stability and fitting for area faced with erratic rain fall. Even though, parametric stability did not show a positive and statistically significant correlation with mean yield the Mean variance component (θi) is selected with GGE biplot for evaluation of tef genotypes in the development of cultivar. Effective selection of variety would be best if mega-environment, representative and discriminating testing areas are identified.

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