scholarly journals Genotype X Environment Interaction of Food Barley

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotype Effect ◽  
Environment Effects ◽  
Randomized Complete Block Design ◽  
Barley Genotypes

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903

scholarly journals Adaptability and phenotypic stability of sugarcane clones

2018 ◽  
Vol 53 (1) ◽  
pp. 42-52 ◽  
Author(s):  
Jiuli Ani Vilas Boas Regis ◽  
João Antonio da Costa Andrade ◽  
Adriano dos Santos ◽  
Aparecido Moraes ◽  
Rafael William Romo Trindade ◽  
...  
Keyword(s):  
Block Design ◽  
Saccharum Officinarum ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Phenotypic Stability ◽  
Genotype X Environment ◽  
Randomized Complete Block Design ◽  
Ideal Genotype ◽  
The Ideal

Abstract: The objective of this work was to select superior sugarcane (Saccharum officinarum) clones with good stability and adaptability, considering the genotype x environment interaction in two productive cycles. Twenty-five early clones plus five control clones were evaluated during two cuts (ratoon cane and plant cane) in 24 environments. A randomized complete block design was used, with three replicates. Tons of stems per hectare and tons of pol per hectare were evaluated. To verify adaptability and stability, the bisegmented regression and the multivariate (AMMI and GGE biplot) methods were used. According to the three methods, which are complementary regarding the desired information, the most promising clones in terms of stability and general adaptability are G5, G12, and G13; the last two are closest to the ideal genotype. The G13 clone is highly productive in favorable and unfavorable environments, presenting the highest averages for ton of stems and pol per hectare. The G3, G4, G10, G15, G17, G18, G22, G23, G25, G26, and G30 clones are not recommended for the 24 evaluated environments.

scholarly journals Combined selection for adaptability, genotypic stability and cowpea yield from mixed models

2021 ◽  
Vol 51 (9) ◽  
Author(s):  
Derivaldo Pureza da Cruz ◽  
Geraldo de Amaral Gravina ◽  
Marcelo Vivas ◽  
Geovana Cremonini Entringer ◽  
Yure Pequeno de Souza ◽  
...  
Keyword(s):  
Grain Yield ◽  
Mixed Models ◽  
Block Design ◽  
Crop Productivity ◽  
Genotype X Environment Interaction ◽  
Residual Variance ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotypic Stability

ABSTRACT: The potential expression of crop productivity is a constant challenge for plant breeders in the face of oscillations in environmental variables, making selection difficult and increasing the operational and methodological costs in obtaining the ideal cultivar for a determined region. The objective of the research was to investigate the effects of genotype x environment interaction in the selection of cowpea lines with high grain yield, adaptability, and genotypic stability simultaneously, in environments of the Northwest region of Rio de Janeiro State, using mixed models (Maximum Restricted Likelihood - REML/Best Linear Unbiased Prediction - BLUP). 27 cowpea genotypes were evaluated in six environments by combining location (Cambuci-RJ and Bom Jesus do Itabapoana-RJ) and year (2016, 2017 and 2018). A randomized block design with four replications was performed. The genetic parameters were estimated via the REML/BLUP procedure, and the selection was based on the harmonic mean method of the relative performance of the genetic values (HMRPGV). A meaningful difference was observed for environment and genotype x environment interaction. The residual variance and the variance of the genotype x environment interaction formed the most significant fractions of the phenotypic variance. Lines 4 (Bico-de-ouro 1-5-24), 6 (Pingo-de-Ouro 1-5-4), 5 (Pingo-de-Ouro 1-5-26), and 9 (Pingo-de-Ouro 1-5-8), stood out as superior in terms of stability and adaptability and grain yield by HMRPGV. Commercial cultivars 13 (BRS-Tumucumaque) and 26 (BRS-Itaim) had high grain yield, adaptability, and specific stability in the evaluated edaphoclimatic conditions.

scholarly journals Similarity networks for the classification of rice genotypes as to adaptability and stability

2020 ◽  
Vol 55 ◽  
Author(s):  
Gabi Nunes Silva ◽  
Antônio Carlos da Silva Júnior ◽  
Isabela de Castro Sant’Anna ◽  
Cosme Damião Cruz ◽  
Moysés Nascimento ◽  
...  
Keyword(s):  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Irrigated Rice ◽  
Genotype X Environment ◽  
Productivity Data ◽  
Statistical Measures ◽  
Randomized Complete Block Design ◽  
Similarity Networks

Abstract: The objective of this work was to evaluate the similarity network graphic methodology for the classification of flood-irrigated rice (Orzya sativa) genotypes regarding their adaptability and stability. Two statistical measures were used to represent the proximity of the behavior (based on Pearson’s correlation) or values (based on Gower’s distance) between pairs of genotypes or between genotype and environment. Productivity data of 18 genotypes were evaluated in three locations in the state of Minas Gerais, Brazil, in the harvests of 2012/2013, 2013/2014, 2014/2015, and 2015/2016, in a randomized complete block design. The genotypes were previously assessed for adaptability and stability by the Eberhart & Russell and centroid methods. The graphical representations provided by the similarity networks allowed to better identify the pattern of the genotype x environment interaction, overcoming the interpretation difficulties due to the disagreements between the results obtained by the Eberhart & Russell and centroid methods. The similarity networks improve genotype x environment interaction studies.

scholarly journals Genotype x Environment Interaction and Stability Analysis in Okra [Abelmoschus esculentus (L.) Moench] in Cameroon

2020 ◽  
pp. 1-15
Author(s):  
Dabandata Célestin ◽  
Ngalle Hermine Bille ◽  
Nsimi Mva Armand ◽  
Ndiang Zenabou ◽  
Likeng L. I. Ngue Bénoit- Constant ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Block Design ◽  
Performance Measure ◽  
Genotype X Environment Interaction ◽  
Abelmoschus Esculentus ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Randomized Complete Block Design ◽  
Peduncle Length ◽  
The Stability

A study was conducted to assess genotype x environment interaction and also to determine stability of okra (Abelmoschus esculentus L. Moench) genotypes for nine traits in Cameroon. Eight okra genotypes (including five parents of Cameroon and three exotics) were evaluated across three different locations (Dibang, Yagoua and Yaounde) using a randomized complete block design (RCBD) with three replications. Each plot consisted of three rows of six plants each. Genotype x environment interaction has been evaluated using SAS Software.  There was considerable variation for all traits studied among both genotypes and environments. Five different methods of stability analysis have been used for the comparison of the genotypes and also to determine the most suitable stability parameter of okra. The stability in relation to the characters is independent of the genotypes. A total correspondence (r=1) exist between the general mean and the Pi performance for characters such as 50 % flowering and the fruit peduncle length. For, the procedure of Lin and Binns appeared to be more of a genotype performance measure, rather than a stability measure. The Wricke’s and Shukla’s procedures of stability statistic showed the highest significant positive correlation (P<0.01) with the majority of the studied character. That makes these procedures equivalent for ranking purposes.

Yield performance stability of adapted and improved cowpea in the Equatoria region of South Sudan

2019 ◽  
Author(s):  
Tony Ngalamu ◽  
Silvestro Meseka ◽  
James Odra Galla ◽  
Nixon James Tongun ◽  
Newton W. Ochanda ◽  
...  
Keyword(s):  
Block Design ◽  
South Sudan ◽  
Yield Stability ◽  
Environment Interaction ◽  
Analysis Method ◽  
Genotype X Environment ◽  
Production Constraints ◽  
Stability Performance ◽  
Randomized Complete Block Design ◽  
Main Production

Cowpea is an important food crop with high nutritional and socio-economical values in South Sudan. However, the lack of improved varieties is one of the main production constraints. This study was undertaken to assess the yield stability performance of improved cowpea genotypes across six environments in South Sudan in 2014 and 2015. Nine genotypes were evaluated in a randomized complete block design with three replications. Genotype and genotype x environment biplot analysis method was used to determine yield stability. Highly significant (p less than 0.001) genotype x environment interaction effect was detected for seed yield. IT90K-277-2 had the highest while ACC004 had the lowest grain yield. Palotaka was as highly discriminating and repeatable environment compare to the other testing sites. IT07K-211-1-8 and Mading Bor II were the most responsive genotypes, while IT90K-277-2 was the most stable high yielding genotype across the test environments and can be grown by farmers across the region.

scholarly journals Interaksi Genotipe x Lingkungan Hasil dan Komponen Hasil 14 Genotipe Tomat di Empat Lingkungan Dataran Rendah

2015 ◽  
Vol 43 (1) ◽  
pp. 59
Author(s):  
Suprayanti Martia Dewi ◽  
Sobir , ◽  
Muhamad Syukur
Keyword(s):  
Stability Analysis ◽  
Block Design ◽  
Fruit Weight ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Gxe Interaction ◽  
Superior Genotype ◽  
Ammi Model ◽  
The Stability

Genotype x environment interaction (GxE) information is needed by plant breeders to assist the identification of superior genotype. Stability analysis can be done if there is a GxE interaction, to show the stability of a genotype when planted in different environments. This study aimed to estimate the effects of genotype x environment interaction on yield and yield components of fruit weight per plant as well as to look at the stability of 14 tomato genotypes at four lowland locations. The study was conducted at four locations, namely Purwakarta, Lombok, Tajur and Leuwikopo. Experiments at each location was arranged in a randomized complete block design with three replications. Stability analysis was performed using the AMMI model. Fruit weight, fruit diameter, number of fruits per plant and total fruit weight per plant characters showed highly significant genotype x environment interactions. Variability due to the effect of GxE interaction based on a AMMI2 contributed by 88.50%. IPBT3, IPBT33, IPBT34, IPBT60 and Intan were stable genotypes under AMMI model.<br />Keywords: AMMI, multilocation trials

Sign in / Sign up

Export Citation Format

Share Document