scholarly journals Genotype – environment interaction study in sugar beet (Beta vulgaris L.)

2016 ◽  
Vol 5 (3) ◽  
pp. 74-86
Author(s):  
Entessar Al Jbawi ◽  
Ahmad Fahd Al Raei ◽  
Ahmad Al Ali ◽  
Hussain Al Zubi
Keyword(s):  
Sugar Beet ◽  
Analysis Of Variance ◽  
Block Design ◽  
Error Variance ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Environment Interaction ◽  
Combined Analysis ◽  
The Stability ◽  
Stability Statistics

The research was carried out to study the response of 16 cultivars of sugar beet in 3 seasons at one major sugar beet producing location, Hama, in Syria in autumn time, and assess genotype by environment interaction, and to estimate the stability of the varieties performance, according to the yield stability statistics (Ysi), for the studied traits of these varieties. A randomized complete block design with four replications was used. Data collected from each experiment were subjected to simple analysis of variance and after homogenization of error variance, combined analysis for four traits including Sucrose content (SC %), Purity (P %), Root yield (RY ton.ha-1), and Sugar yield (SY ton.ha-1) were carried out. Combined analysis of variance over years, exhibited significant differences (P≤0.05) among the varieties. Results of yield stability statistics (Ysi) revealed that five of the monogerm sugar beet varieties (Vico, Dita, Al Ceste, Chimene, and SR305) were stable for all of the studied traits, during three seasons, which is recommended to be planted in autumn time.International Journal of Environment Vol.5(3) 2016, pp.74-86

Simultaneous selection for high yield and stability in common bean (Phaseolus vulgaris) genotypes

2002 ◽  
Vol 138 (3) ◽  
pp. 249-253 ◽  
Author(s):  
F. MEKBIB
Keyword(s):  
Common Bean ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
High Yield ◽  
Environment Interaction ◽  
Yield Performance ◽  
Simultaneous Selection ◽  
Selection For ◽  
Stability Statistics ◽  
Selection Of

Phenotypic yield stability is a trait of special interest for plant breeders and farmers. This value can be quantified if genotypes are evaluated in different environments. Common bean is the main cash crop and protein source of farmers in many lowland and mid-altitude areas of Ethiopia. An experiment was undertaken to evaluate common bean genotypes for yield performance at Alemaya, Bako and Nazreth in Ethiopia for 3 years. The yield performance of genotypes was subjected to stability analysis and yield-stability statistics were generated to aid the selection of genotypes that were high yielding and very stable. The significant genotype by environment interaction indicated that the relative performance of the varieties altered in the different environments. Genotype yield performance varied ranging from 1511–2216 kg/ha. Simultaneous selection for yield and yield-stability statistics using YS(i) statistics indicated that A 410, GLP x92, Mx-2500-19, G 2816, A-195, 997-CH-1173, Diacol calima, ICA 15541 and AND 635 were both high yielding and stable. Following this study, using farmers’ evaluation and other criteria, GLP x92 and G-2816 were identified as preferred genotypes and were released for further production.

scholarly journals Genotype by environment interaction and yield stability of hybrid maize varieties evaluated in three locations of mid altitudes of Rwanda

2021 ◽  
Author(s):  
Fabrice Rwasimitana ◽  
Ngaboyisonga Claver ◽  
Ukozehasi Celestin ◽  
Eva Johansson
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Ear Rot ◽  
Yield Data ◽  
Genotype By Environment ◽  
Maize Varieties ◽  
The Stability ◽  
Hybrid Maize

A multi-environment yield trial is important to understand the genotype by environment interaction and to select high performing and stable crop varieties. The aim of this study was to identify high yielding and stable hybrid maize varieties for mid altitudes of Rwanda, to compare the performance of new hybrid varieties with commercial checks, and to determine the extent of genotype by environment interaction. Maize is a staple crop used to fight hunger and malnutrition in developing countries. Different varieties have been released to increase yield including Open Pollinated Varieties (OPVs) and hybrids. Genotype by Environment interaction is an issue that all breeding program need to overcome. In the future, improved varieties will be needed in order to increase income for farmers and help in food security Field experiments were conducted to assess the performance and the stability of 27 maize varieties in the mid altitudes zone of Rwanda in the Cyabayaga, Rubona and Bugarama sites. The experimental design was alpha lattice (0,1) with a Randomized Complete Block Design (RCBD). Data were collected for a number of characters i.e. silking, Antesis-Silking Interval (ASI), plant height, plant aspect, ear per plant, husk cover, ear aspect, ear rot and grain yield. Data were analyzed by GenS Stat statistical computer package, Discovery Edition. ANOVA and AMMI analysis were applied to assess the performance and the stability of varieties and the degree of genotype by environment interaction (G×E). In addition, Principal Component Analysis (PCA) and cluster analysis were conducted to assess relationships between varieties. The results showed that RHM1706, RHMM1701, RHM1409, RHMM1707, WH509, RHMM1704, RHM407, WH101, RHMM1710, RHMM1708, PAN53 and RHM104 were stable across locations. Furthermore, the evaluated varieties were found to cluster into five groups. Varieties found to be most stable are recommended for further use.

scholarly journals Analysis of Genotype by Environment Interaction on Cocoa Hybrids (Theobroma cacao L.) Resistance to Phytophthora Pod Rot

2016 ◽  
Vol 32 (3) ◽  
pp. 162-170
Author(s):  
Agung Wahyu Soesilo ◽  
Indah Anita Sari ◽  
Bayu Setyawan
Keyword(s):  
Block Design ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Experimental Station ◽  
Stability Performance ◽  
Stable Performance ◽  
Wet Climate ◽  
The Stability

Phenomenon of genotype by environment interaction was able to influence the stability performance of cocoa resistance to Phytophthora pod rot (PPR). This research had an objective to evaluate the effect of genotype by environment interaction on resistance of cocoa hybrids to PPR. The tested hybrids were F1 crosses between selected clones of TSH 858, Sulawesi 1, Sulawesi 2, NIC 7, ICS 13, KEE 2 and KW 165. There were 14 tested hybrids and an open pollinated hybrid of ICS 60 x Sca 12 was used as control in multilocation trials at four different agroclimatic locations, namely Jatirono Estate ((highland-wet climate), Kalitelepak Estate (lowland-wet climate), Kaliwining Experimental Station (low land-dry climate) and Sumber Asin Experimental Station (highland-dry climate). Trials were established in the randomized complete block design with four replications. Resistance to PPR were evaluated based on the percentage of infected pod for the years during wet climate of 2010 in Jatirono, Kalitelepak and Kaliwining followed in dry climate of 2011–2015 in Kaliwining and Sumber Asin. Variance of data were analyzed for detecting the effect of genotype by environment interaction (GxE) then visualized with a graph of genotype main effect and genotype by environment interaction (a graph of GGE) biplot. There was consistently no interaction effect between hybrid and location to PPR incidence which was affected by single factor of hybrid, year, location and interaction between year and location. The effect of year indicated yearly change of weather was more important to PPR incidence than location difference. A graph of GGE biplot indicated a stable performance of the tested hybrids among locations.

scholarly journals Analysis for Yield Stability of The Promising Cocoa Hybrids at Diverse Agro-climatic Conditions

2011 ◽  
Vol 27 (3) ◽  
Author(s):  
Agung Wahyu Soesilo
Keyword(s):  
Stability Analysis ◽  
Block Design ◽  
Suitable Condition ◽  
Genotype By Environment Interaction ◽  
Climatic Conditions ◽  
Yield Stability ◽  
Environment Interaction ◽  
Hybrid Variety ◽  
Stable Performance ◽  
Wet Climate

Analysis for yield stability on cocoa hybrids has objective to select high yielding hybrid with stable performance throughout the different agro-climatic conditions. These hybrids were crossed between selected clones of TSH 858, KEE 2, KW 162, KW 163 2, KW 165, ICS 13 and NIC 7. Fourteen hybrids were tested with control in a series of multilocation trial at the locations which were classified by altitude and climate differences such as lowland of dry climate in KP Kaliwining, lowland of wet climate in Kalitelepak Plantation, medium highland of wet climate in Jatirono Plantation and medium highland of dry climate in KP Sumber Asin. Trials were established at the randomizedcomplete block design with 4 blocks where in a plot planted 16-24 trees. Yield assessment was evaluated during 4 consecutive years of harvest by counting the number of pods per tree then converted using yield components and bean quality. Stability analysis was performed in linier basis for the yield. The combined analysis of variance performed a significant effect of interaction between hybrid and location within year that means an effect of genotype by environment interaction. Of the tested hybrids, TSH 858 x KEE 2, TSH 858 x KW 162, KW 162 x KEE 2 and the reciprocal performed higher value of the yield than control with deviation to regression (S2di) equal to zero and coefficient of regression (bi) equal to one except for KEE 2 x KW 162 with bi >1. It could be interpreted that those hybrids were stable to perform the yield and well adapted through the locations except for KEE 2 x KW 162 which specifically adapted to the more suitable condition. By respecting to the potency of yield, bean quality and vascular streak dieback resistance, TSH 858 x KW 162 has been released as new hybrid variety and renamed as ICCRI 06H. The hybrid was characterized by the yield potency of 1.99 kg/tree, a dry bean of 1.07 g and fat content of 54.3%. Key words: Stability analysis, yield, Theobroma cacao L., promising hybrids, agro-climatic condition.

scholarly journals GGE Biplot Analysis of Multi-Environment Yield Trials in Soybean Promising Lines

2019 ◽  
Vol 3 (2) ◽  
pp. 72
Author(s):  
Ayda Krisnawati ◽  
M. Muchlish Adie
Keyword(s):  
Block Design ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Tropical Regions ◽  
Biplot Analysis ◽  
Genotype Environment Interaction ◽  
Promising Line ◽  
The Tropics

Soybean in Indonesia is grown in diverse agro-ecological environments. The performance of soybean yield often varies due to significant genotype × environment interaction (GEI), therefore the yield stability of performance is an important consideration in the breeding program. The aim of the research was to exploring the GEI pattern and yield stability of soybean promising lines in the tropics using GGE (Genotype and Genotype by Environment Interaction) biplot method. A total of 16 soybean promising lines were evaluated in ten environments during 2016 growing season. The experiment was arranged in a randomized completely block design with four replicates. The analysis of variance revealed that environments (E) explained the highest percentage of variation (51.45%), meanwhile the genotypes (G) and genotype × environment interactions (GEI) contributed for 3.24%, and 14.59% of the total variation, respectively. Seed yield of 16 soybean promising lines ranged from 2.41 to 2.83 t.ha-1 with an average of 2.74 t.ha-1. Joint effects of genotype and interaction (G+GE) which was partitioned using GGE biplot analysis showed that the first two components were significant, explaining 60.88% (37.89% PC1 and 22.98% PC2) of the GGE sum of squares. Indonesia can be divided into at least four putative mega environments for soybean production. The GGE biplot identified G10 as high yielding and stable promising line, thus recommended to be developed in multi-environment in tropical regions of Indonesia.

scholarly journals Genotype by environment interaction and stability analysis for rice genotypes under Boro condition

Genetika ◽  
2014 ◽  
Vol 46 (2) ◽  
pp. 521-528 ◽  
Author(s):  
Lotan Bose ◽  
Nitiprasad Jambhulkar ◽  
Kanailal Pande
Keyword(s):  
Interaction Analysis ◽  
Block Design ◽  
Principal Component ◽  
Stability Index ◽  
Yield Stability ◽  
Environment Interaction ◽  
Multiplicative Interaction ◽  
Genotype Effect ◽  
Rice Genotypes ◽  
Stability Statistics

Genotype (G)?Environment (E) interaction of nine rice genotypes possessing cold tolerance at seedling stage tested over four environments was analyzed to identify stable high yielding genotypes suitable for boro environments. The genotypes were grown in a randomized complete block design with three replications. The genotype ? environment (G?E) interaction was studied using different stability statistics viz. Additive Main effects and Multiplicative Interaction (AMMI), AMMI stability value (ASV), rank-sum (RS) and yield stability index (YSI). Combined analysis of variance shows that genotype, environment and G?E interaction are highly significant. This indicates possibility of selection of stable genotypes across the environments. The results of AMMI (additive main effect and multiplicative interaction) analysis indicated that the first two principal components (PC1-PC2) were highly significant (P<0.05). The partitioning of TSS (total sum of squares) exhibited that the genotype effect was a predominant source of variation followed by G?E interaction and environment. The genotype effect was nine times higher than that of the G?E interaction, suggesting the possible existence of different environment groups. The first two interaction principal component axes (IPCA) cumulatively explained 92 % of the total interaction effects. The study revealed that genotypes GEN6 and GEN4 were found to be stable based on all stability statistics. Grain yield (GY) is positively and significantly correlated with rank-sum (RS) and yield stability index (YSI). The above mentioned stability statistics could be useful for identification of stable high yielding genotypes and facilitates visual comparisons of high yielding genotype across the multi-environments.

scholarly journals Genotype by environment interaction and yield stability analysis of quality protein maize genotypes in Terai Region of Nepal

2013 ◽  
Vol 1 (2) ◽  
pp. 74-78 ◽  
Author(s):  
Jiban Shrestha
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Coefficient Of Determination ◽  
Quality Protein Maize ◽  
Environment Interaction ◽  
Maize Breeding ◽  
Maize Genotypes ◽  
Joint Regression Analysis

Grain yield stability for the new maize genotypes is an important target in maize breeding programs. The main objective of this study was to identify stable high yielding quality protein maize (QPM) genotypes under various locations and years in terai region of Nepal. Six quality protein maize genotypes along with Poshilo Makai-1 (Standard Check) and Farmer’s Variety (Local Check) were tested at three different locations namely Ayodhyapuri-2, Devendrapur, Madi, Chitwan; Rajahar-8, Bartandi, Rajahar,  Nawalparasi; Mangalpur-2, Rampur,  Chitwan during  2011 and 2012 spring and winter seasons under rainfed condition.  The experiment was conducted using Randomized Complete Block Design with two replications in farmer’s fields. There was considerable variation among genotypes and environments for grain yield. The analysis of variance showed that mean squares of environments (E) was highly significant and genotypes (G) and genotype x environment interaction (GEI) were non significant. The genotypes S03TLYQ-AB02 and RampurS03FQ02 respectively produced the higher mean grain yield 5422±564 kg/ha and 5274±603 kg/ha across the locations. Joint regression analysis showed that RampurS03FQ02 and S03TLYQ-AB02 with regression coefficient 1.10 and 1.22 respectively are the most stable genotypes over the tested environments. The coefficient of determination (R2) for genotypes Rampur S03FQ02 and S03TLYQ-AB02 were as high as 0.954, confirming their high predictability to stability. Further confirmation from GGE biplot analysis showed that maize genotype S03TLYQ-AB02 followed by Rampur S03FQ02 were more stable and adaptive genotypes across the tested environments. Thus these genotypes could be recommended to farmers for general cultivation.DOI: http://dx.doi.org/10.3126/ijasbt.v1i2.8202 Int J Appl Sci Biotechnol, Vol. 1(2): 75-79

scholarly journals Study the Seed and Oil Yield Stability of Sunflower Hybrids across Environments

2020 ◽  
pp. 28-42
Author(s):  
M. A. Ahmed ◽  
Kh. A. Morad ◽  
M. A. Attia ◽  
Zeinab E. Ghareeb
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Heritability Estimate ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Oil Yield ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Wide Range ◽  
Main Effects

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 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.

scholarly journals Stability of combining ability effects in maize hybrids

2009 ◽  
Vol 66 (4) ◽  
pp. 494-498 ◽  
Author(s):  
Juarez Campolina Machado ◽  
João Cândido de Souza ◽  
Magno Antonio Patto Ramalho ◽  
José Luís Lima
Keyword(s):  
Combining Ability ◽  
Block Design ◽  
Diallel Analysis ◽  
Genotype By Environment Interaction ◽  
Specific Combining Ability ◽  
Environment Interaction ◽  
Additive Effects ◽  
Maize Hybrids ◽  
Genotype By Environment ◽  
The Stability

General and specific combining ability effects are important indicators in a maize (Zea mays L.) breeding program aiming hybrid development. The objectives of the present study were to estimate the general (GCA) and specific combining abilities (SCA) effects of commercial maize hybrids using a complete diallel scheme and to assess the stabilities of these estimates. Fifty-five entries were assessed; ten commercial single-crosses and all possible double-crosses. The experiments were carried out in 12 environments in the 2005/06 growing season. A randomized complete block design was used with three replications per environment. Ear yield was evaluated, corrected to 13% of moisture content. The combined diallel analysis involving all environments was performed and the stability of general and specific combining ability effects was investigated. The underlying nonparametric statistics evaluated the contribution of each effect to the genotype by environment interaction. Non-additive effects were more important for this set of hybrids than the additive effects. It was possible to select parents with high stability for combining ability and with high GCA.

scholarly journals Yield Stability of Sweet Sorghum Genotypes for Bioenergy Production Under Contrasting Temperate and Tropical Environments

2018 ◽  
Vol 10 (12) ◽  
pp. 42
Author(s):  
Diana-Abasi Udoh ◽  
Søren K. Rasmussen ◽  
Sven-Erik Jacobsen ◽  
Godfrey A. Iwo ◽  
Walter de Milliano
Keyword(s):  
Grain Yield ◽  
Analysis Of Variance ◽  
Sweet Sorghum ◽  
Block Design ◽  
Yield Stability ◽  
Biofuel Production ◽  
Environment Interaction ◽  
Yield Attributes ◽  
Fresh Biomass ◽  
Sorghum Genotypes

Forty-three sweet sorghum accessions were grown in two contrasting environments; Nigeria (tropical environment) and Denmark (temperate environment). The objectives were to determine the interaction between genotype and environment on grain yield, fresh biomass and stem sugar, and to assess yield stability of sweet sorghum and identify the best genotypes for biofuel production. The sweet sorghum originating from a Dutch and ICRISAT collection was grown in randomized complete block design in three replicates for two years (2014 and 2015). The combined analysis of variance of the sweet sorghum genotypes in two years over the two contrasting environments revealed that year (Y), genotype (G), environment (E) and genotype by environment interaction (GEI) were significant in the entire biofuel yield attributes obtained from both Dutch and ICRISAT collections except the degree of Brix and fresh biomass respectively across the year. The year and genotype interaction (Y&times;G) was not significant in all the biofuel attributes of Dutch accessions. Additive main effect and multiplicative interaction (AMMI) analysis of variance showed significant effect of G, E and the GEI. The AMMI was used to identify the best performing, adaptable and more stable genotypes. Twenty-two genotypes of both ICRISAT and Dutch accessions were identified to be stable across the two locations with respect to different biofuel attributes. Nine, seven, and six genotypes were found to be stable for grain yield, biomass yield and brix value, respectively. The best performing genotypes for stem sugar across locations were identified. From the available data collected, the performance of the sweet sorghum was attributed to both genetic and environmental effects. High GE was observed to influence stability, hence will influence the selection criteria of the sweet sorghum genotypes.

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