Additive Main Effects and Multiplicative Interactions (AMMI) Analysis of Growth of Half-sib Families of Eucalyptus camaldulensis Across Environments

2017 ◽  
Vol 104 (4 - 6) ◽  
Author(s):  
Chandrasekar R ◽  
◽  
Vinothkumar A ◽  
Smitha G. Nair ◽  
Sivakumar V ◽  
...  
Keyword(s):  
Block Design ◽  
Eucalyptus Camaldulensis ◽  
Principal Component ◽  
High Yield ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Wide Range ◽  
Ammi Analysis ◽  
Sib Families ◽  
Main Effects

 To determine the stability in yield and estimate the extend of genotype x environment interaction of half sib progenies of Eucalyptus camaldulensis across different locations, 48 half sib families and 2 clones were evaluated in a randomized block design (RBD) with 4 replications at four locations viz., Marakkanam, Thiyagadurgam, Karaikudi and Pulvayal after three years of planting during 2013. Additive main effects and multiplicative interactions (AMMI) analysis indicated that the growth of half sib families were under the major effects of genotype x environment interactions. The first two principal component axes (PCA 1 and 2) were significant (P≤ 0.01) and cumulatively contributed to 88.0% of the total genotype by environment interaction. The biplot technique was used to identify appropriate half-sib families to specific locations. Results showed that families 23, 7, 57 and 40 expressed high stability in performance across environments. Families 74, 92, 36, 88, 30 and 70 exhibited high yield in which environment potential. Family 36 and 74 showed low interaction with high growth performance and can be recommended for a wide range of environments. The families 30, 70 and 92 were having high productivity. Similarly the interaction with environment was also high. Hence, these families can be recommended for specific environments. The locations Marakkanam and Thiyagadurgam were found to be related and completely different from Karaikudi and Pulvayal. According to stability Pulvayal was found to be more stable environment and can be used for breeding programs. Families 30 and 92 are unstable families, however they are specifically adapted to high yielding environment, Marakkanam

scholarly journals Genotype and environment interaction of drought tolerant rice genotypes evaluated in drought prone areas of Bangladesh

2016 ◽  
Vol 14 (1) ◽  
pp. 23-30
Author(s):  
RR Majumder ◽  
TR Hore ◽  
MA Kader ◽  
TL Aditya
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Principal Component ◽  
Field Trials ◽  
High Yield ◽  
Environment Interaction ◽  
Growth Duration ◽  
Yield Data ◽  
Wide Range ◽  
Rice Genotypes

Field trials were conducted using ten rice genotypes including four national and international check varieties under drought prone rainfed environments of Rangpur, Nilphamari, Kurigram and Lalmonirhat districts of Bangladesh in Transplant Aman 2012 season to evaluate the growth duration and grain yield stability as well as adaptability. The experiment used randomized complete block design with three replications. Growth duration and Grain yield data were subjected to Additive Main effects and Multiplicative Interaction (AMMI) analysis. The mean growth duration of 10 genotypes over four environments showed that the longest growth duration was found for IR83383-B-B-129-4 (115.6 days) and the lowest growth duration was found for BRRI dhan56 (Ck) (113.4 days). IR82635-B-B-145-1 produced maximum 4.28 t/ha grain yield followed by 4.28 t/ha in IR82589-B-B-84-3 and the lowest grain yield was recorded for IR83376-B-B-130-2 with 3.24 t/ha. It was evident from the AMMI 1 biplot analysis that IR83377-B-B-93- 3, IR83383-B-B-129-4, IR82635-B-B-145-1, IR82635-B-B-75-2 and BRRI dhan56 (Ck) generally exhibited high yield with high main (additive) effects showing positive first principal component of the interaction (IPCA1), but IR82635-B-B-145-1 being the overall best. Hence, IR82635-B-B-145-1 was identified as specially adapted to Lalmonirhat and this environment was considered as the wide range suitable environment for the genotype. Lalmonirhat could be regarded as a good selection site for rice improvement due to stable yields. IR83377-B-B-93-3, IR82635-B-B-145-1, IR83383-B-B-129-4, IRRI 123 (Ck), BRRI dhan57 (Ck) and BINA dhan7 (Ck) were hardly affected by the G × E interaction and would perform well across a wide range of environments. In AMMI 2 biplot, IR82635-B-B-145-1 and IRRI 123 (Ck) was more responsive since they were away from the origin whereas other genotypes were nearer to the origin and hence they were more stable to different environments. IR83383-B-B-129-4 was very close to the origin, so it was more stable to different environments. Similarly Rangpur Sadar and Lalmonirhat showed similar potentiality over IR83383-B-B-129-4. The study it revealed that IR83377-B-B-93-3, IR83383-B-B-129-4, IR82635-B-B-145-1, IR82635-B-B-75-2 and IR82589-B-B-84-3 has the potentiality to show drought tolerance for the regions and might be suitable for releasing as a variety after conducting proper yield evaluation trials and Distinction, Uniformity and Stability (DUS) tests.J. Bangladesh Agril. Univ. 14(1): 23-30, June 2016

scholarly journals ADAPTIBILITY PERFORMANCES OF CHICKPEA (CICER ARIETINUM L.) GENOTYPES UNDER DIFFERENT ENVIRONMENTS FOR STABILITY OF QUANTITATIVE TRAITS

2020 ◽  
Vol 53 (1) ◽  
pp. 62-72
Author(s):  
M. G. AZAM ◽  
M. A. HOSSAIN ◽  
J. HOSSAIN ◽  
M. A. HOSSAIN ◽  
M. O. ALI
Keyword(s):  
Regression Analysis ◽  
Cicer Arietinum ◽  
Block Design ◽  
Principal Component ◽  
High Yield ◽  
Environment Interaction ◽  
Phenotypic Characters ◽  
Cicer Arietinum L ◽  
Genotype Environment Interaction ◽  
Wide Range

The evaluation and computation of yield stability of a genotype over environments is a critical component of a certain breeding program. The present study was intended to screen 11 advance chickpea (Cicer arietinum L.) genotypes and one check for genotype × environment interaction (G × E) at six locations with varying micro and macro climatic conditions for yield correlated phenotypic characters. A number of 11 advanced genotypes of chickpea and one check variety were assessed for their adaptability at six different locations of Bangladesh. The randomized complete block design (RCBD) with three replications was chosen to experiment. The means were used to compute Additive Main Effects and Multiplicative Interaction (AMMI) analysis of variance, followed by regression analysis to measure × E. The regression analysis showed significant genotype × environment interaction for all the phenotypic characters. The mean values of days to flowering, days to maturity, plant height, number of pods per plant and seed yield were highly significant for linear, as well as non-linear components of G × E. Chickpea yield was significantly (p< 0.01) affected by genotypes, the environments and G × E interaction, indicating that the varieties and the test environments were diverse. G × E was further partitioned by principal component axes. The first two principal components cumulatively explained 86.59% of the total variation, of which 53.34% and 33.25% were contributed by IPCA1 and IPCA2, respectively. The AMMI stability value discriminated genotypes G2 (BCX 09010-9), G3 (BCX 09010-2) and G8 (BCX 01008-4) the stable genotypes. The investigated genotypes exhibited varying adaptability in different environments. Genotypes G3 (BCX 09010-9) and G9 (BCX 01008-3) were stable genotypes with high yield over a wide range of environments are promising candidate chickpea varieties.

Effect of genotype-environment interaction on grain yield of exotic rice (Oryza sativa L.) hybrids

2018 ◽  
Vol 44 (4) ◽  
pp. 507-514
Author(s):  
MU Kulsum ◽  
MJ Hasan ◽  
MN Haque ◽  
M Shalim Uddin ◽  
KM Iftekharduddaula
Keyword(s):  
Oryza Sativa L ◽  
Major Complication ◽  
Genotype By Environment Interaction ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Wide Range ◽  
Main Effects ◽  
Moderate Yield

Genotype by environment interaction (GEI) is a major complication in plant breeding. Authors used additive main effects and multiplicative interaction (AMMI) to evaluate the effects of GEI in hybrid rice genotype and their adaptation in three years at four locations. Among rice hybrid genotypes ACI93024 was stable in all environments with high yield potential. Using AMMI analysis AMMI 1 biplot showed the genotypes HS-273, Heera-2, ACI-2 and HRM-02 were highly stable with moderate yield potential but the genotype ACI93024 was more adapted to a wide range of environment than the rest of the genotypes, while BRRI dhan28 indices the lowest stability. ACI-2, LP-70 and Mayna were specifically adapted to the environment of Rangpur, Jessore and Gazipur, respectively. Comilla was identified as stable environment for all the genotypes.

scholarly journals AMMI Stability Analysis and Estimation of Genetic Parameters for Growth and Yield Components in Cassava in the Forest and Guinea Savannah Ecologies of Ghana

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Joseph Adjebeng-Danquah ◽  
Joseph Manu-Aduening ◽  
Vernon Edward Gracen ◽  
Isaac Kwadwo Asante ◽  
Samuel Kwame Offei
Keyword(s):  
Block Design ◽  
Sum Of Squares ◽  
Yield Stability ◽  
Growth And Yield ◽  
High Yield ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Dry Matter Content ◽  
Root Yield ◽  
Ammi Analysis

Twenty cassava genotypes were arranged in a randomised complete block design with three replications and assessed for growth and yield stability using the additive main effect and multiplicative interaction (AMMI) analysis. Highly significant (P<0.001) effects of genotype, environment, and genotype ⁎ environment interaction were observed for all traits studied. The AMMI analysis of variance indicated that genotype accounted for 51% of the total sum of squares for height at first branching followed by environment (33%) and interaction (15%). For fresh root yield, environment effects accounted for 37% of the total sum of squares, whilst genotype and interaction accounted for 32% and 29%, respectively. Genotypic variances for harvest index (HI), plant height, storage root yield, and dry matter content contributed a greater proportion of the phenotypic variance indicating stronger genetic control. This suggests better chance of progress in the genetic improvement of these traits. Genotype MM96/1751 combined high yield with stability according to the yield stability index ranking across environments. On the other hand genotypes UCC 2001/449 and 96/1708 though high yielding were unstable according to AMMI stability value scores. However they can be tested further in more environments to ascertain their specific adaptability for release to farmers for cultivation to boost cassava production and ensure food security.

scholarly journals Determination of the adaptability and stability of soybean cultivars in different locations and at different sowing times in Paraná state using the AMMI and Eberhart and Russel methods

2016 ◽  
Vol 37 (6) ◽  
pp. 3973 ◽  
Author(s):  
Daniel Augusto Silveira ◽  
Luiz Fernando Pricinotto ◽  
Maicon Nardino ◽  
Carlos André Bahry ◽  
Cássio Egídio Cavenaghi Prete ◽  
...  
Keyword(s):  
Interaction Analysis ◽  
Block Design ◽  
Principal Component ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Sowing Dates ◽  
Ammi Analysis ◽  
Soybean Genotypes ◽  
The Stability ◽  
Performance Adaptation

This study aimed to evaluate the adaptability and phenotypic stability of 10 soybean genotypes in 12 environments in Paraná state by using the additive main effects and multiplicative interaction analysis (AMMI) and Eberhart and Russell models. The assays were conducted in a randomized complete block design with three replicates, in the 2010/2011 season in four locations in Paraná state (Assaí, São Pedro do Ivaí, Cornélio Procópio, and Marilândia do Sul), and with three sowing dates (15/-20/10/10; 29/10-03/11/10; 15/-20/11/10). The cultivars tested with Roundup Ready® technology included SYN 1049, SYN 1152, SYN 1059, SYN 3358, SYN 1163, SYN 1157, V-MAX, FT Campo Mourão, BMX Potência, and SYN 9070. The yield character was analyzed. Data were submitted to analysis of variance and the adaptability and stability were then analyzed. The results of the AMMI and Eberhart and Russell models were somewhat consistent for the stability parameter only. The AMMI analysis was able to capture 66% of the variance associated with residue no additives, of which 43.18% was retained in the first principal component of interaction and 23.58%, in the second component. This is sufficient to explain the genotype × environment interaction. The SYN 1059, SYN 1163, and VMAX genotypes are distinguished by their considerably higher yield and productive adaptation. In the AMMI analysis, the cultivar SYN 1163 showed commercial promise among the other cultivars for high grain yield performance, adaptation, and response predictability.

scholarly journals AMMI Biplot Analysis in Cotton (Gossypium hirsutum L.) Genotypes for Genotype X Environment Interaction at Four Agro-ecologies in Telangana State

2020 ◽  
pp. 98-103
Author(s):  
N. Lingaiah ◽  
A. Sudharshanam ◽  
V. Thirumala Rao ◽  
Y. Prashant ◽  
M. Vijay Kumar ◽  
...  
Keyword(s):  
Analysis Of Variance ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Superior Performance ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Kharif Season ◽  
Ammi Analysis ◽  
Cotton Genotypes ◽  
Telangana State

The objective of this study was to determine the genotype × environment interaction (GEI) and stability performance of eight promising cotton genotypes at four agro-ecologies in Telangana State. The experimental material consisting of eight genotypes were planted in randomized block design replicating thrice in four diverse environments of Telangana state during 2017, Kharif season. The present investigation was carried out in four diverse environments of Telangana state viz. RARS, Warangal, ARS, Adilabad, ARS, Modhole and RARS, Palem (Professor Jayashankar Telangana State Agricultural University) during 2017, Kharif season. The study was conducted at four diversified agro-ecologies of Telangana State. The experimental material comprised of eight genotypes viz., WGCV-109, ADB-638, WGCV-122, Narasimha, WGCV-119, WGCV-119, Srirama, WGCV-48 and ADB 645. First pooled analysis of variance was carried out to know the significance variation in genotype x environment interaction followed by AMMI analysis for genotype x environment interaction studies. Analysis of variance was significant for environments and (G x E) components indicating the use fullness of AMMI analysis in identifying the stable genotypes.  Among the eight cotton genotypes, WGCV-109, Narasimha and ADB-645 were found to be best yielders over environments whereas the genotypes G7 (WGCV-48) and G4 (Narasimha) found to be stable. Most of the genotypes showed environment specificity. As a result, almost all of the evaluated genotypes were affected by the genotype x environment interaction effects, hence no genotype had superior performance in all environments.  

scholarly journals Stabilitas Laju Fotosintesis dan Produktivitas Rimpang Genotipe Curcuma aeruginosa dan Curcuma zanthorrhiza

2020 ◽  
Vol 48 (1) ◽  
pp. 89-96
Author(s):  
Djarot Sasongko Hami Seno ◽  
Mohamad Rafi ◽  
Maria Bintang ◽  
Popy Asri Kurniatin ◽  
Waras Nurcholis
Keyword(s):  
Photosynthetic Rate ◽  
Antioxidant Activities ◽  
Block Design ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Yield Trait ◽  
Multiple Interaction ◽  
Main Effects ◽  
Excellent Stability

Curcuma aeruginosa Roxb. rhizome is an essential herb material with significant antimicrobial, anticancer, and antioxidant activities. Thus, it is important to search for C. aeruginosa plant that has the rhizome yield trait with more excellent stability in changing environmental situations. This research aimed to evaluate the genotype x environment interaction using additive main effects and multiple interaction (AMMI) analysis for photosynthetic rate and rhizome yield of C. aeruginosa genotypes. Twenty clones of C. aeruginosa plus three control varieties of C. zanthorrhiza Roxb. were evaluated in three environments (Bogor, Cianjur, and Sukabumi) using a randomized complete block design with three replicates. The photosynthetic rate and rhizome yield showed significantly (p < 0.01) genotype x environment interaction. The AMMI2 explained 100% variability of the photosynthetic rate and rhizome yield parameters. G2, G10, G12, G13, G14, G16, G17, G19, and G20 were stable genotypes for rhizome yield based on AMMI analyses. Meanwhile, the stable genotype in photosynthetic rate recorded in G4, G5, G6, G8, G11, G13, and G14. Keywords: AMMI, genotypes, multilocation trials, pink and blue ginger, varieties

scholarly journals ADAPTABILITY AND STABILITY FOR IRON AND ZINC IN COWPEA BY AMMI ANALYSIS

2021 ◽  
Vol 34 (3) ◽  
pp. 590-598
Author(s):  
CARLOS ENRIQUE CARDONA-AYALA ◽  
HERMES ARAMENDIZ-TATIS ◽  
MIGUEL MARIANO ESPITIA CAMACHO
Keyword(s):  
Genetic Improvement ◽  
Block Design ◽  
Environment Interaction ◽  
Improvement Program ◽  
Genotype Environment Interaction ◽  
Randomized Complete Block Design ◽  
Ammi Analysis ◽  
Iron And Zinc ◽  
Ammi Model ◽  
Main Effects

ABSTRACT Iron and zinc deficiency is one of the main problems affecting vulnerable populations in the Colombian Caribbean, thereby generating malnutrition from the consumption of foods with low content of essential minerals. The objective of this study was to evaluate the genotype-environment interaction for iron and zinc accumulation in grains in 10 cowpea bean genotypes by additive main effects and multiplicative interaction (AMMI) model and to select the most stable ones to stimulate their planting or as parents in the genetic improvement program. Nine promising lines and a commercial control were evaluated using the randomized complete block design with 10 treatments and four replications in 10 environments of the northern Colombia in the second semester of 2017 and first of 2018. The adaptability and stability analysis was done using AMMI model. The results showed highly significant differences at the level of environments, genotypes, and genotype-environment interaction for iron and zinc, demostrating a differential adaptability of genotypes in the test environments. Genotypes 2 and 3 expressed greater adaptability and stability for iron contents in the seed; while genotype 1, recorded it for zinc contents. These three genotypes outperformed the commercial control and, therefore, can be recommended for planting or be used as parents in the genetic improvement program.

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 Ammi analysis of genotype × environment interaction and stability of sesame genotypes

2020 ◽  
Vol 49 (2) ◽  
pp. 215-221
Author(s):  
Bhagwat Singh ◽  
Rajani Bisen
Keyword(s):  
Significant Interaction ◽  
Degrees Of Freedom ◽  
Principal Component ◽  
Mean Value ◽  
Environment Interaction ◽  
Average Yield ◽  
Genotype Environment Interaction ◽  
Ammi Analysis ◽  
Sesame Genotypes ◽  
Main Effects

The additive main effects and multiplicative interaction (AMMT) model for seed yield of 60 varieties of sesame per plant detected significant effects of the genotypes (17.87% sum of squares (SS)), environments (14.15% SS) and genotype × environment interaction (67.99% SS). The model also extracted two significant interaction principal component analysis (IPCA) with a total of 79.9% SS and 67.8% corresponding degrees of freedom. Genotype TMV-7 (17.308 g/plant) followed by N-8 (13.994 g/plant) had the highest average yield which was much greater than the grand mean (10.976 g/plant) and declared as area specific adapted genotypes. Environments El, E2 and E4 were unfavorable while E3 is the most suitable as indicated by high mean value of IPCA 1 and low value of IPCA 2.

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