scholarly journals An analysis of simulated yield data for pepper shows how genotype by environment interaction in yield can be understood in terms of yield components and their QTLs

Crop Science ◽  
2021 ◽  
Author(s):  
Paulo C. Rodrigues ◽  
EP Heuvelink ◽  
Leo F.M. Marcelis ◽  
Scott C. Chapman ◽  
Fred A. Van Eeuwijk
Keyword(s):  
Yield Components ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Yield Data ◽  
Genotype By Environment

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 Grain yield, net blotch and scald of barley in Finnish official variety trials

1997 ◽  
Vol 6 (5-6) ◽  
pp. 399-408 ◽  
Author(s):  
Jonathan Robinson ◽  
Marja Jalli
Keyword(s):  
Grain Yield ◽  
Climatic Factors ◽  
Disease Incidence ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Net Blotch ◽  
Yield Data ◽  
Variety Trials ◽  
Genotype By Environment ◽  
Barley Genotypes

Data on grain yield, and terminal severity of net blotch (Pyrenophora teres f. teres) and scald (Rhynchosporium secalis) from Finnish official barley (Hordeum vulgare) variety trials were analysed to indicate the pattern of disease incidence over six years and five sites for nineteen barley genotypes, and the effect of the diseases on yield and the genotype by environment interaction for yield. The effect of climatic factors on net blotch severity were also investigated. The genotype by site interaction for net blotch severity was not statistically significant, but that for yield was. Net blotch severity differed between years, but was similar across sites and there were statistically significant first order interactions between year, site and genotype. ‘Saana’ and ‘Thule’ had relatively low mean terminal net blotch scores and their reaction to the disease was less sensitive to the environment than was that of ‘Tyra’ for example. Analysis of yield data adjusted for net blotch severity indicated that the magnitude of the genotype by environment interaction terms were not accounted for to any significant degree by differences in relative net blotch resistances among the barley genotypes. Overall, mean scores for scald severity were lower than those for net blotch. Terminal net blotch severity was correlated with May rainfall and growing degree days.

Study of genotype by environment interaction in tall fescue genotypes and their polycross progenies in Iran based on AMMI model analysis

2016 ◽  
Vol 67 (7) ◽  
pp. 792
Author(s):  
M. R. Dehghani ◽  
M. M. Majidi ◽  
A. Mirlohi ◽  
G. Saeidi
Keyword(s):  
Tall Fescue ◽  
Genotype By Environment Interaction ◽  
Model Analysis ◽  
Forage Yield ◽  
Environment Interaction ◽  
Interaction Patterns ◽  
Yield Data ◽  
Genotype By Environment ◽  
Wide Range ◽  
Ammi Model

Development of forage grass genotypes which maintain a high level of performance over a wide range of environments is a goal of most breeding programs. In this study the additive main effects and multiplicative interactions (AMMI) model analysis was used to understand the complexity of genotype by environment interaction and to evaluate the adaptability and yield stability of some tall fescue genotypes and their selected polycross progenies. Replicated forage yield data of 72 genotypes (24 parental, 24 early flowering and 24 late flowering progenies) from six main cropping seasons (2008–14) at two locations and under two levels of irrigation were used for this purpose. The AMMI-1 analysis results accounted for 47.6% of the genotype by environment interaction. Interaction patterns revealed by AMMI-1 biplots indicated that most of the tall fescue genotypes were narrowly adapted and among all evaluated genotypes, only four genotypes (G22, G50, G62 and G65) with yield performance above the average were considered broadly adapted. The AMMI-1 mega-environment analysis indicated that all the environments in Lavark were grouped in one mega-environment, except for E1 and E2. For this mega-environment the winning genotypes were the genotypes G9, G48 and G72. The environments in Isfahan location, except for E13, were grouped in another mega-environment. The genotypes G23, G8 and G15 were the winners in this mega-environment.

Pattern analysis of genotype-by-environment interaction for grain yield in durum wheat

2009 ◽  
Vol 147 (5) ◽  
pp. 537-545 ◽  
Author(s):  
R. MOHAMMADI ◽  
A. AMRI ◽  
R. HAGHPARAST ◽  
D. SADEGHZADEH ◽  
M. ARMION ◽  
...  
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Pattern Analysis ◽  
Genotype By Environment Interaction ◽  
Interaction Matrix ◽  
Environment Interaction ◽  
Yield Data ◽  
Breeding Lines ◽  
Cold Environments ◽  
Genotype By Environment

SUMMARYPattern analysis, cluster and ordination techniques, was applied to grain yield data of 20 durum wheat genotypes grown in 19 diversified environments during 2005–07 to identify patterns of genotype (G), environment (E) and genotype-by-environment (G×E) interaction in durum multi-environment trials (METs). Main effects due to E, G and G×E interaction were highly significant, and 0·85 of the total sum of squares (SS) was accounted for by E. Of the remaining SS, the G×E interaction was almost 12 times the contribution of G alone. The knowledge of environmental and genotype classification helped to reveal several patterns of G×E interaction. This was verified by ordination analysis of the G×E interaction matrix. Grouping of environments, based on genotype performance, resulted in the separation of different types of environments. Pattern analysis confirmed the cold and warm mega-environments, and allowed the discrimination and characterization of adaptation of genotypes. However, several patterns of G×E interaction in Iran's regional durum yield trials were further discerned within these mega-environments. The warm environments tended to be closer to one another, suggesting that they discriminate among durum genotypes similarly, whereas cold environments tended to diverge more. The dwarf and early maturing breeding lines from ICARDA with low to medium yields and high contribution to G×E interaction were highly adapted to warm environments, whereas the tall and later maturing genotypes with low to high yields were highly adapted to the cold environments of Iran.

scholarly journals Genotype-by-environment interaction and yield stability analysis in sorghum (Sorghum bicolor (L.) Moench) genotypes in North Shewa, Ethiopia

2017 ◽  
Vol 9 (1) ◽  
pp. 82-94 ◽  
Author(s):  
Sintayehu Admas ◽  
Kassahun Tesfaye
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Yield Data ◽  
Genotype By Environment ◽  
The North ◽  
Sorghum Variety ◽  
Cropping Seasons ◽  
The Given

Abstract A multi-environment sorghum variety trial comprised of nine genotypes along with one standard check, “yeju”, was carried out in the main cropping seasons of the period of 2006–2008. The objective of this research was to identify a stable and better-yielding sorghum variety under the conditions of the sorghum-growing area of North Shewa, Ethiopia. The experiment was arranged in randomized complete block design replicated three times within an experiment. AMMI analysis based on grain yield data revealed that genotypes ICSV 1112BF, 82 LPYT-2 # 5x81ESIP 46, and PGRC/E #222880 were superior to the standard check both in grain yield and stability, and hence these genotypes have been verified, and the genotype PGRC/E #222880 has been registered by the national variety-releasing technical and standing committee by the given name “Chare” for commercial production for the North Shewa sorghum-growing areas.

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