Evaluation of maize genotypes using parametric and non-parametric stability estimates

2006 ◽  
Vol 34 (2-3) ◽  
pp. 925-931 ◽  
Author(s):  
W. Abera ◽  
M. Labuschagne ◽  
H. Maartens
Keyword(s):  
Stability Estimates ◽  
Parametric Stability ◽  
Maize Genotypes ◽  
Non Parametric

scholarly journals Non-Parametric Stability Analysis of Tuber Yield in Potato (Solanum tuberosum L.) Genotypes

2018 ◽  
Vol 10 (28) ◽  
pp. 50-63
Author(s):  
mina moghaddaszadeh ◽  
Rasool Asghari Zakaria ◽  
Davoud Hassanpanah ◽  
naser zare ◽  
◽  
...  
Keyword(s):  
Solanum Tuberosum ◽  
Stability Analysis ◽  
Tuber Yield ◽  
Solanum Tuberosum L ◽  
Parametric Stability ◽  
Non Parametric

scholarly journals Genetic progress, adaptability and stability of maize cultivars for value of cultivation and use trials

2019 ◽  
Vol 41 (1) ◽  
pp. 42624
Author(s):  
Joaquim Vicente Uate ◽  
Joel Jorge Nunvuga ◽  
Carlos Pereira da Silva ◽  
Lauro Jose Moreira Guimarães ◽  
Renzo Garcia Von Pinho ◽  
...  
Keyword(s):  
Low Cost ◽  
Yield Potential ◽  
Joint Analysis ◽  
Stability Estimates ◽  
Maize Breeding ◽  
Genetic Progress ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Maize Cultivars ◽  
Maize Genotypes

Maize breeding programs conduct multi-environment trials every year to assess the performance of new cultivars in pre-releasing tests. The data are combined across sites and seasons to perform a joint analysis in order to obtain information that will help breeders to select the best cultivars for different environments. Beyond this, it is essential to understand the different factors that can hamper the selection and genetic progress (i.e., genetic variability, selection intensity and genotype-by-environment interactions). In this study, the genetic progress (GP) was estimated and the adaptability and stability of 81 maize genotypes were evaluated in a series of trials for the value of cultivation and use (VCU) between the 2010/11 and 2014/15 growing seasons. The genotypes were composed of open-pollinated varieties, topcross hybrids, intervarietal hybrids, and single, double and three-way cross hybrids and were assessed in 117 environments in the central region of Brazil, from which 22 presented environmental stresses. For grain yield, an annual GP of 331.5 kg ha-1 was observed, thus showing efficiency in the selection of superior cultivars. Additionally, it was observed that some low-cost seed cultivars showed yield potential, adaptability and stability estimates that were compatible with commercial hybrids, thus making them quite attractive for cultivation in environments with or without abiotic stresses.

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 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

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