AMMI based simultaneous selection for yield and stability of chickpea genotypes in south zone of India

2018 ◽  
Author(s):  
Hemant Kumar ◽  
G.P. Dixit ◽  
N.P. Singh ◽  
A.K. Srivastava
Keyword(s):  
Stability Index ◽  
Yield Component ◽  
Environment Interaction ◽  
Ammi Analysis ◽  
Genotypic Stability ◽  
Ammi Model ◽  
Selection For ◽  
Index Value ◽  
Main Effects ◽  
South Zone

Multi-environmental trials have generally significant genotype main effects and genotype x environment interaction (GEI) effect and, therefore different univariate and multivariate stability methods have been used to study the GEI. Among the multivariate methods, the additive main effects and multiplicative interaction (AMMI) analysis is widely used for GEI investigation. This method has been effective because it captures a large portion of the GEI sum of squares; it clearly separates main and interaction effects and often provides meaningful interpretation of data to support a breeding program such as genotypic stability. Based on the AMMI model, a stability index has been used to rank the genotypes. This index is the weightage of stability and yield component and higher the index value better is the genotypes. The index of 40 promising chickpea genotypes were calculated with two different weight of yield (50% and 75%) and stability component (50% and 25%). These genotypes were evaluated at seven locations viz. Hiriyur, Nandyal, Coimbtore, Dharwad, Lam, Bijapur and Gulbarga representing the south zone of All India Coordinated Research Project on Chickpea program during 2015-16. Ranking of genotypes are done based on two different weight of stability and yield component.

scholarly journals Stability Analysis for Seed Yield over Environments in Coriander

2016 ◽  
Vol 4 (11) ◽  
pp. 1014
Author(s):  
Sangeeta Yadav ◽  
Arun Kumar Barholia
Keyword(s):  
Stability Analysis ◽  
Seed Yield ◽  
High Fertility ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Genotype Environment Interaction ◽  
Ammi Analysis ◽  
Back Ground ◽  
Ammi Model ◽  
Main Effects

Thirty five genotypes of coriander (Coriandrum sativum L.) were tested in four artificially created environments to judge their stability in performance of seed yield. The differences among genotypes and environments were significant for seed yield. Stability parameters varied considerably among the tested genotypes in all the methods used. The variation in result in different methods was due to non-fulfillment of assumption of different models. However, AMMI analysis provides the information on main effects as well as interaction effects and depiction of PCA score gives better understanding of the pattern of genotype – environment interaction. The sum of squares due to PCAs was also used for the computation of AMMI stability values for better understanding of the adaptability behavior of genotypes hence, additive main effects and multiplicative interaction (AMMI) model was most appropriate for the analysis of G x E interactions for seed yield in coriander. Genotypes RVC 15, RVC 19, RVC 22, RVC 25 and Panipat local showed wider adaptability while, Simpo S 33 exhibited specific adaptability to favourable conditions of high fertility. These genotypes could be utilized in breeding programmers to transfer the adaptability genes into high yielding genetic back ground of coriander.

Rectification of modified AMMI stability value (MASV)

2020 ◽  
Vol 79 (04) ◽  
Author(s):  
B. C. Ajay ◽  
J. Aravind ◽  
R. Abdul Fiyaz ◽  
Narendra Kumar ◽  
Chuni Lal ◽  
...  
Keyword(s):  
Principal Components ◽  
Stability Index ◽  
Correct Version ◽  
Multiplicative Interaction ◽  
Genotype By Environment ◽  
Ammi Analysis ◽  
Correct Formula ◽  
Ammi Model ◽  
Main Effects ◽  
Original Formula

Additive main effects and multiplicative interaction (AMMI) analysis is widely used for analyzing data of multi-environment trials (METs) to model the genotype-by-environment interactions (GEIs). However, AMMI model do not rank genotypes which is required for aiding selection. In order to overcome these lacunae a stability index titled AMMI stability value (ASV) was proposed by Purchase et al. (1997) using first two interaction principal components (IPCA) from the results of AMMI analysis. Later, Zali et al. (2012) modified it and proposed Modified ASV (MASV) which used all significant IPCAs. However, Zali et al. (2012) read the original formula of ASV incorrectly while proposing MASV thus rendering it erroneous. Use of this erroneous MASV impacted genotype ranking significantly. Corrected version of MASV, i.e. MASV2 showed significant correlation with other stability models. Hence, we propose MASV2 as a correct formula for modified AMMI stability Value (MASV) and this correct version of MASV may be used instead of earlier formula proposed by Zali et al. (2012).

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 AMMISOFT for AMMI Analysis with Best Practices

2019 ◽  
Author(s):  
Hugh G. Gauch ◽  
David R. Moran
Keyword(s):  
Best Practices ◽  
Open Source Software ◽  
Crop Improvement ◽  
Genotype By Environment ◽  
Ammi Analysis ◽  
Ammi Model ◽  
Model Diagnosis ◽  
Main Effects ◽  
Free Open Source ◽  
Yield Trials

ABSTRACTThe Additive Main effects and Multiplicative Interaction (AMMI) model has been used extensively for analysis of multi-environment yield trials for two main purposes: understanding complex genotype-by-environment interactions and increasing accuracy. A 2013 paper in Crop Science presented a protocol for AMMI analysis with best practices, which has four steps: (i) analysis of variance, (ii) model diagnosis, (iii) mega-environment delineation, and (iv) agricultural recommendations. This preprint announces free open-source software, called AMMISOFT, which makes it easy to implement this protocol and thereby to accelerate crop improvement.

scholarly journals Genotype × Environment Interaction for Resistance to Spider Mites in Fragaria

1999 ◽  
Vol 124 (4) ◽  
pp. 353-357 ◽  
Author(s):  
José López Medina ◽  
Patrick P. Moore ◽  
Carl H. Shanks ◽  
Fernando Flores Gil ◽  
Craig K. Chandler
Keyword(s):  
Spider Mite ◽  
The United States ◽  
Spider Mites ◽  
Environment Interaction ◽  
Interaction Patterns ◽  
First Order ◽  
Genotype Environment Interaction ◽  
Main Effect ◽  
Ammi Analysis ◽  
Main Effects

Genotype × environment interaction for resistance to the twospotted spider mite (Tetranychus urticae Koch) of eleven clones of Fragaria L. sp. (strawberries) grown in six environments throughout the United States was examined using two multivariate analysis techniques, principal coordinate analysis (PCA) and additive main effect and multiplicative interaction (AMMI). Both techniques provided useful and interesting ways of investigating genotype × environment interaction. PCA analysis indicated that clones X-11 and E-15 were stable across both low and high environments for the number of spider mites per leaflet. The initial AMMI analysis showed that the main effects of genotype, environment, and their first-order interaction were highly significant, with genotype × environment interaction due mainly to cultivar `Totem' and environment FL94. A second AMMI analysis, which excluded `Totem' and FL94, showed that the main effects of the remaining genotypes, environments, and genotype × environment interaction were also highly significant. AMMI biplot analysis revealed that FL93 and GH93 were unstable environments, but with opposite interaction patterns; and GCL-8 and WSU2198 were unstable genotypes with similar interactions that were opposite those of WSU 2202.

scholarly journals Evaluación de híbridos de maíz (Zea mays L.) de grano blanco y amarillo en ambientes de Centroamérica, Panamá y el Caribe en 1996.

2016 ◽  
Vol 9 (1) ◽  
pp. 28 ◽  
Author(s):  
Adán Aguiluz
Keyword(s):  
Zea Mays ◽  
Zea Mays L ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Ammi Model ◽  
White Grain ◽  
National Programs ◽  
And Control ◽  
Main Effects

Thirty white-grain hybrids in 1210cations and 20 yellow-grain hybrids in 14 locations were evaluated in 1996. The control HB-83 was used for white grains, and control HB-46 was used for yellow grains. Measurement of genotype/environment interaction was obtained through the analysis of additive main effects and multiplicative in~eractions (AMMI model). White hybrids A- 7573, H-53, HN-951, A-7530, CB- XHS-7GMl and CML- 9XCML-47 equaled or surpassed the HB-83 control in 17,8%; 0,1%; 1,1%; 9,2%; 8,1% and 18,7% ofthe cases, respectively, showing little interaction with the environment (AMMI values close to O). Two of these hybrids are from national programs, and three from private seed companies. As for the yellow grains, only the CB-XHS-8GM3, HS-6 and DK-888A hybrids surpassed the control HA-46 in yield, and showed AMMI scores c10se to O: (0,20; -0,07 and -0,12, respectively); all of these belong to private seed companies.

scholarly journals AMMI and Stability Analyses of Bunch Mass in Multilocational Testing of Musa Germplasm in Sub-Saharan Africa

1998 ◽  
Vol 123 (4) ◽  
pp. 623-627 ◽  
Author(s):  
Rodomiro Ortiz
Keyword(s):  
Environmental Changes ◽  
Sub Saharan Africa ◽  
Environment Interaction ◽  
Stability Analyses ◽  
Genotype Environment Interaction ◽  
Ammi Model ◽  
Sub Saharan ◽  
Main Effects ◽  
New Cultivars ◽  
Selection Of

There is a genuine need within a plantain and banana (Musa spp.) breeding program to assess thoroughly the experimental materials through a sequence of trials. This will result in the selection of promising clones as potential new cultivars in the targeted agroecozone. Stability analyses and the additive main effects and multiplicative interaction (AMMI) model provide together a means for the identification of clones with 1) homeostatic responses to environmental changes, 2) a genotypic response to environmental changes, and 3) adaptation to specific niches. Fourteen polyploid clones (10 tetraploid hybrids and 4 triploid cultivars) were evaluated in a broad range of environments in sub-Saharan Africa to determine the value of stability and AMMI analyses in Musa trials. The interpretation of the results, especially those concerning the genotype × environment interaction, was facilitated by the combination of stability and AMMI analyses. Tetraploid hybrids combining heavy and stable bunch mass were identified. The results also suggested that a clone should be assessed in the ratoon cycle because plantain and banana are perennial crops. Likewise, high yielding clones with specific adaptation should be selected in environments showing the respective environmental or biotic stress.

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 GxE evaluation of salinity tolerant barley genotypes by AMMI model

2016 ◽  
Vol 36 (3) ◽  
Author(s):  
Ajay Verma ◽  
R. P. S.Verma ◽  
A. S. Kharab ◽  
Vishnu Kumar
Keyword(s):  
Stability Index ◽  
Yield Stability ◽  
Average Yield ◽  
Ammi Analysis ◽  
Ammi Model ◽  
Barley Genotypes ◽  
Genotype G1

The highly significant variances due to interaction, environments and genotypes were observed by AMMI analysis of salinity tolerant barley genotypes under multi location trials. The genotypes G6 and G13 with negative IPCA1 values showed positive IPCA2, IPCA3, IPCA4 values. Genotype G1 showed lowest value of D with smallest negative IPCA1 score (-0.013). Genotype G18 followed by G8, G1 and G5 were the stable performer based on ASV. Yield stability index advocated G8 followed by G5, G10, G4 and G12. The results of MASV indicated that genotypes G5, G1, G15, G17, G9 and G19 were stable, whereas genotypes G5, G9, G8 and G11 were the stable genotypes with relatively more average yield. Overall mean ranks of all of the AMMI estimates, genotypes G5, G1 and G8 were the most stable genotypes followed by genotypes G17 and G18.

scholarly journals Effect of Genotype × Environment Interaction on Yield of Maize Hybrids in Greece Using AMMI Analysis

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 479
Author(s):  
Nikolaos Katsenios ◽  
Panagiotis Sparangis ◽  
Dimitriοs Leonidakis ◽  
George Katsaros ◽  
Ioanna Kakabouki ◽  
...  
Keyword(s):  
Positive Interactions ◽  
Climatic Data ◽  
Environment Interaction ◽  
Positive Interaction ◽  
Genotype Environment Interaction ◽  
Cultivation Period ◽  
Maize Genotypes ◽  
Maize Cultivation ◽  
Ammi Analysis ◽  
Ammi Model

An increase in grain yield remains a major target for all involved in maize cultivation. In this study, five maize genotypes were evaluated in a two-year (2017 and 2018) field experiment that was conducted at six locations. Additive main effects and multiplicative interaction (AMMI) analysis was used to detect the narrow adaptations of genotypes in specific mega-environments and the positive interactions of genotypes (G) and environments (E). According to the results of ANOVA, the G × E interaction effect explained 80.36% of the variation, while G explained only 12.79% of the variation, with the remainder explained by E (6.85%). The AMMI model indicated that GEN2, GEN4, and GEN5 were the most suitable genotypes for the three mega-environments delineated. Furthermore, GEN4 was found to have a large positive interaction with the environments featuring the highest rain precipitation during the cultivation period, while GEN2 had a large positive interaction with environments where the mean monthly high temperature was over 34 °C, according to the climatic data during the cultivation period. Additionally, the four environments with slightly acidic pH had a positive interaction with all genotypes of the research, except GEN2.

Sign in / Sign up

Export Citation Format

Share Document