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.

Evaluation of sugarcane genotypes with respect to sucrose yield across three crop cycles using GGE biplot analysis

2021 ◽  
pp. 1-13
Author(s):  
Aliya Momotaz ◽  
Per H. McCord ◽  
R. Wayne Davidson ◽  
Duli Zhao ◽  
Miguel Baltazar ◽  
...  
Keyword(s):  
Block Design ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Genotype Environment Interaction ◽  
Area 5 ◽  
Randomized Complete Block Design ◽  
Main Effects

Summary The experiment was carried out in three crop cycles as plant cane, first ratoon, and second ratoon at five locations on Florida muck soils (histosols) to evaluate the genotypes, test locations, and identify the superior and stable sugarcane genotypes. There were 13 sugarcane genotypes along with three commercial cultivars as checks included in this study. Five locations were considered as environments to analyze genotype-by-environment interaction (GEI) in 13 genotypes in three crop cycles. The sugarcane genotypes were planted in a randomized complete block design with six replications at each location. Performance was measured by the traits of sucrose yield tons per hectare (SY) and commercial recoverable sugar (CRS) in kilograms of sugar per ton of cane. The data were subjected to genotype main effects and genotype × environment interaction (GGE) analyses. The results showed significant effects for genotype (G), locations (E), and G × E (genotype × environment interaction) with respect to both traits. The GGE biplot analysis showed that the sugarcane genotype CP 12-1417 was high yielding and stable in terms of sucrose yield. The most discriminating and non-representative locations were Knight Farm (KN) for both SY and CRS. For sucrose yield only, the most discriminating and non-representative locations were Knight Farm (KN), Duda and Sons, Inc. USSC, Area 5 (A5), and Okeelanta (OK).

scholarly journals Identification of pigeonpea genotypes with wider adaptability to rainfed environments through AMMI and GGE biplot analyses

2021 ◽  
Vol 81 (01) ◽  
pp. 63-73
Author(s):  
M. V. Nagesh Kumar ◽  
V. Ramya ◽  
C. V. Sameer Kumar ◽  
T. Raju ◽  
N. M. Sunil Kumar ◽  
...  
Keyword(s):  
Cajanus Cajan ◽  
Large Scale ◽  
Interaction Model ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Rainfed Agriculture ◽  
Genotype By Environment ◽  
Genotype Environment Interaction ◽  
Wide Range ◽  
Main Effects

Pigeonpea [Cajanus cajan (L.) Millspaugh] is an important pulse crop grown under Indian rainfed agriculture. Twenty eight pigeonpea genotypes were tested for stability and adaptability across ten rainfed locations in the States of Telangana and Karnataka, India using AMMI (additive main effects and multiplicative interaction) model and GGE (genotype and genotype by environment) biplot method. The grain yields were significantly affected by environment (56.8%) followed by genotype × environment interaction (27.6%) and genotype (18.6%) variances. Two mega environments were identified with several winning genotypes viz., ICPH 2740 (G15), TS 3R (G10), PRG 176 (G8) and ICPL 96058 (G22). E2 (Gulbarga, Karnataka), E3 (Bidar, Karnataka) and E6 (Vikarabad, Telangana) were the most discriminating environments. Genotypes, ICPH 2740, PRG 176 and TS 3R were the best cultivars in all the environments whereas PRG 158 (G9), ICPL 87119 (G12), ICPL 20098 (G19) and ICPL 96058 (G22) were suitable across a wide range of environments. Genotypes, ICPH 2740 and PRG 176 can be recommended on a large scale to the farmers with small holdings to enhance pigeonpea productivity and improve the food security

scholarly journals Genotype by environment interaction for seed yield per plant in rapeseed using AMMI model

2011 ◽  
Vol 46 (2) ◽  
pp. 174-181 ◽  
Author(s):  
Ana Marjanović-Jeromela ◽  
Nevena Nagl ◽  
Jelica Gvozdanović-Varga ◽  
Nikola Hristov ◽  
Ankica Kondić-Špika ◽  
...  
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Total Yield ◽  
Interaction Model ◽  
Field Trials ◽  
Genotype By Environment Interaction ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Genotype By Environment

The objective of this study was to assess genotype by environment interaction for seed yield per plant in rapeseed cultivars grown in Northern Serbia by the AMMI (additive main effects and multiplicative interaction) model. The study comprised 19 rapeseed genotypes, analyzed in seven years through field trials arranged in a randomized complete block design, with three replicates. Seed yield per plant of the tested cultivars varied from 1.82 to 19.47 g throughout the seven seasons, with an average of 7.41 g. In the variance analysis, 72.49% of the total yield variation was explained by environment, 7.71% by differences between genotypes, and 19.09% by genotype by environment interaction. On the biplot, cultivars with high yield genetic potential had positive correlation with the seasons with optimal growing conditions, while the cultivars with lower yield potential were correlated to the years with unfavorable conditions. Seed yield per plant is highly influenced by environmental factors, which indicates the adaptability of specific genotypes to specific seasons.

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 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.

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 Genotype × Environment Interaction and Yield Stability Analysis in Hybrid Rice (Oryza sativa L.) By AMMI Biplot

2016 ◽  
Vol 19 (2) ◽  
pp. 83-90 ◽  
Author(s):  
Anowara Akter ◽  
M Jamil Hasan ◽  
MU Kulsum ◽  
MH Rahman ◽  
AK Paul ◽  
...  
Keyword(s):  
Hybrid Rice ◽  
Oryza Sativa L ◽  
Block Design ◽  
Yield Stability ◽  
Environment Interaction ◽  
Stability Performance ◽  
Genotype Environment Interaction ◽  
Rice Genotypes ◽  
Rice Improvement ◽  
Main Effects

CORRECTION: Due to a number of formatting and layout issues, the PDF of this paper was replaced on 10th October 2016. The page numbers of this article have changed from 79-86 to 83-90.Assessing the adaptability and stability of promising rice genotypes is one of the important steps for accurate evaluation. This study determined the genotype × environment interaction (GEI) and stability performance of 12 promising rice genotypes in four environments during 2009 Aman season. The experiment used randomized complete block design with three replications. Yield stability and adaptability of yield performance were analyzed by combined analysis and additive main effects and multiplicative interaction (AMMI) model. The environment, genotype main effects, and the GEI were all highly significant (P<0.001). The study indicated that the tested genotypes, such as BRRHA G1 (5.47 tha-1), G2 (5.68 tha-1), G3 (6.29 tha-1) and G4 (5.27 tha-1) had higher average yields, which indicated these genotypes adapted to favourable environments (E1 and E3). Whereas the environment, E3 could be regarded as a more stable site for high yielding hybrid rice improvement than the other locations. Based on AMMI biplot analysis, genotypes BRRI1A/BRRI827R (G1), IR58025A/BRRI10R (G2), BRRI 10A/BRRI 10R (G3) and BRRI hybrid dhan1 (G4) have higher average mean yields with high main (additive) effects and positive IPCA1 score, among them BRRI 10A/BRRI10R (G3) being the overall best. Locations E1 and E3 could be regarded as a good selection site for rice hybrid improvement due to stable yields.Bangladesh Rice j. 2015, 19(2): 83-90

ANALYSIS OF THE GENOTYPE × ENVIRONMENT INTERACTION IN MUSA TRIALS

1998 ◽  
Vol 34 (2) ◽  
pp. 177-188 ◽  
Author(s):  
I. DE CAUWER ◽  
R. ORTIZ
Keyword(s):  
Growth Cycle ◽  
Sub Saharan Africa ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Lowland Forest ◽  
Genotype Environment Interaction ◽  
Sub Saharan ◽  
Stable Yield ◽  
High Yield Potential

Plantain hybrids and landraces, and banana cultivars (Musa spp. L.) were evaluated for three years in the plant and ratoon crops at three locations in the humid lowland forest (Mbalmayo and Onne) and derived savanna (Ibadan) agro-ecozones of sub-Saharan Africa. Additive main effects and multiplicative interaction (AMMI) models accounted for a significant percentage of the genotype × environment interaction (GE) affecting bunch weight (kg plant−1) and yield potential (t ha−1 a−1). Obino l'Ewai, a plantain landrace, showed little GE for bunch weight, whereas the exotic cooking banana cultivar Cardaba had the most stable yield potential as revealed by the biplots of the GE analysis (AMMI-2 biplots). Plantain hybrids achieved high yield potential due to their short growth cycle. The high yield potential of the cooking bananas was mainly the result of their fast sucker development.

scholarly journals Genotype-by-environment interaction for seed yield and oil content of safflower (Carthamus tinctorius L.) genotypes

Genetika ◽  
2021 ◽  
Vol 53 (1) ◽  
pp. 11-22
Author(s):  
Hasan Koç
Keyword(s):  
Seed Yield ◽  
Oil Content ◽  
Genotype By Environment Interaction ◽  
Carthamus Tinctorius ◽  
Climatic Conditions ◽  
High Yield ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Main Effects

This research was carried out to determine genotype-by-environment interaction of safflower genotypes tested from 2014 to 2017. Konya, where the research was carried out, is the location with the most irregular and the lowest precipitation in Turkey. In this research, the variance analysis over years and genotypes showed that the main effects on genotypes made by year and genotype-by-year interaction were statistically significant (p<0.01) for all characteristics examined. The climatic conditions, especially the amount and distribution of precipitation, over the years allowed genotypes to perform substantially differently in seed yield and oil content of safflower genotypes. The biplot analysis provided significant advantages in identifying the promising genotypes. The genotypes showed similar patterns of performance across the years, while the amount and distribution of precipitation showed similar patterns. The experimental results revealed that the desired genotypes in terms of both stability and high yield, such as G?kt?rk, G7, and Din?er, G5 and G9 and oil content, such as G?kt?rk, Balc?, and Linas, existed. In comparison to oil content, seed yield was more sensitive to environmental factors.

scholarly journals ANALISIS GGE BIPLOT PADA HASIL KLON-KLON UBI KAYU MENGGUNAKAN METODE RESTRICTED MAXIMUM LIKELIHOOD

2016 ◽  
Vol 25 (1) ◽  
pp. 89
Author(s):  
Kartika Noerwijati ◽  
NFn Nasrullah ◽  
NFn Taryono ◽  
Djoko Prajitno
Keyword(s):  
Error Variance ◽  
Residual Error ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Genotype Environment Interaction ◽  
Materials Used ◽  
Planting Materials ◽  
Selection Of ◽  
Suitable Environment

The study was conducted in five locations i.e Kediri, Ponorogo, Probolinggo, Malang, and Mojokerto, from November 2010 until August 2011. The planting materials used were 15 cassava clones. The research objective was to compare analysis methods of the genotype × environment interaction, namely: a) GGE technique using REML without A matrix by assuming homogeneous residual error variance, b) GGE technique using REML with A matrix by assuming homogeneous residual error variance, c) GGE technique using REML without A matrix by assuming heterogeneous residual error variance, and d) GGE technique using REML with A matrix by assuming heterogeneous residual error variance. The results showed that GGE technique using REML without A matrix by assuming heterogeneous residual error variance was more appropriate. Clones CMM 03038-7 (G8) had a wide adaptability and high yield potential, and its clone was closest to the ideal criteria for genotype compared with other genotypes. Clones CMM 03094-4 (G10) had specific adaptability in the environments S2 (Malang) and S5 (Mojokerto), and it had higher yield potential than the control varieties UJ5, Malang 6, and Adira 4. Environment Kediri (S1) had the highest yield among other environments and Kediri was a suitable environment for the growth and selection of cassava.<p align="center"> </p>

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