scholarly journals Evaluation of Elite Open-Pollinated Maize Lines in Two Contrasting Environments

2017 ◽  
Vol 10 (1) ◽  
pp. 85
Author(s):  
Vasileios Greveniotis ◽  
Elisavet Bouloumpasi ◽  
Ioannis Tsakiris ◽  
Evangelia Sioki ◽  
Constantinos Ipsilandis
Keyword(s):  
Organic Matter ◽  
Environmental Effects ◽  
Phenotypic Expression ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Plant Behavior ◽  
Genotype By Environment ◽  
Seed Width ◽  
Selection Of

Selection environment affects plant behavior and response to selection. The objective of the present study was the evaluation of 17 quality and quantity phenotypic characteristics of six open-pollinated maize lines of fifth cycle of selection (C4), which was performed by the implementation of honeycomb breeding, in two contrasting environments (A and B). A: Florina, W. Macedonia (40o46' N, 21o22' E, altitude 705 m) and B: Trikala, Thessaly (39o55' N, 21o64' E, altitude 120 m), with about 4-10 oC higher temperatures than environment A. The soil chemical analysis revealed that the two environments were very diverse (A: SL, pH = 6.25, organic matter: 1.29%, B: SCL, pH = 8, organic matter: 2.4%). Our data suggest that moisture content, seed oil content, ear length, ear diameter, number of grain rows, spindle diameter and seed thickness exhibit inter-location high broad-sense heritability (over 0.9). Heritability estimations were highly depended on the environment, since GEI interaction was high indicating environmental interaction with genotype, especially environment B, which seems to favor heritability. Location affects strongly variation and genotype by environment interaction is significant in many cases. Seed width was the only characteristic to be depended on genetic variability. Descriptive statistics revealed a broad range of mean fluctuations, indicating satisfactory variability in many characteristics to be exploited by breeders. Some characteristics showed low CV (Coefficient of Variation) values (1.6 to 5.3), indicating stability of performance and low environmental effects. Significant correlations between the 17 quantity and quality traits found in our study may be a useful tool for indirect selection of certain characteristics, otherwise difficult to be selected due to non-additive effects. Cluster analysis and PCA showed contrasting results in classification of open-pollinated lines and this was attributed to strong environmental effects that distorted phenotypic expression of the characteristics studied.

scholarly journals GENOTYPE BY ENVIRONMENT INTERACTION IN COWPEA LINES USING GGE BIPLOT METHOD

2018 ◽  
Vol 31 (1) ◽  
pp. 64-71 ◽  
Author(s):  
MASSAINE BANDEIRA E SOUSA ◽  
KAESEL JACKSON DAMASCENO-SILVA ◽  
MAURISRAEL DE MOURA ROCHA ◽  
JOSÉ ÂNGELO NOGUEIRA DE MENEZES JÚNIOR ◽  
LAÍZE RAPHAELLE LEMOS LIMA
Keyword(s):  
Maximum Yield ◽  
Genotype By Environment Interaction ◽  
Superior Performance ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Brazilian Cerrado ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Adjusted Means ◽  
Selection Of

ABSTRACT The GGE Biplot method is efficien to identify favorable genotypes and ideal environments for evaluation. Therefore, the objective of this work was to evaluate the genotype by environment interaction (G×E) and select elite lines of cowpea from genotypes, which are part of the cultivation and use value tests of the Embrapa Meio-Norte Breeding Program, for regions of the Brazilian Cerrado, by the GGE-Biplot method. The grain yield of 40 cowpea genotypes, 30 lines and 10 cultivars, was evaluated during three years (2010, 2011 and 2012) in three locations: Balsas (BAL), São Raimundo das Mangabeiras (SRM) and Primavera do Leste (PRL). The data were subjected to analysis of variance, and adjusted means were obtained to perform the GGE-Biplot analysis. The graphic results showed variation in the performance of the genotypes in the locations evaluated over the years. The performance of the lines MNC02-675F-4-9 and MNC02-675F-4-10 were considered ideal, with maximum yield and good stability in the locations evaluated. There mega-environments were formed, encompassing environments correlated positively. The lines MNC02-675F-4-9, MNC02-675F-9-3 and MNC02-701F-2 had the best performance within each mega-environment. The environment PRL10 and lines near this environment, such as MNC02-677F-2, MNC02-677F-5 and the control cultivar (BRS-Marataoã) could be classified as those of greater reliability, determined basically by the genotypic effects, with reduced G×E. Most of the environments evaluated were ideal for evaluation of G×E, since the genotypes were well discriminated on them. Therefore, the selection of genotypes with adaptability and superior performance for specific environments through the GGE-Biplot analysis was possible.

scholarly journals Plasticity of fruit and oil traits in olive among different environments

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Soraya Mousavi ◽  
Raul de la Rosa ◽  
Abdelmajid Moukhli ◽  
Milad El Riachy ◽  
Roberto Mariotti ◽  
...  
Keyword(s):  
Oil Content ◽  
Genotype By Environment Interaction ◽  
Major Effect ◽  
Phenotypic Traits ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Germplasm Collections ◽  
Thermal Amplitude ◽  
The Difference ◽  
Selection Of

AbstractOlive is a long-living perennial species with a wide geographical distribution, showing a large genetic and phenotypic variation in its growing area. There is an urgent need to uncover how olive phenotypic traits and plasticity can change regardless of the genetic background. A two-year study was conducted, based on the analysis of fruit and oil traits of 113 cultivars from five germplasm collections established in Mediterranean Basin countries and Argentina. Fruit and oil traits plasticity, broad‐sense heritability and genotype by environment interaction were estimated. From variance and heritability analyses, it was shown that fruit fresh weight was mainly under genetic control, whereas oleic/(palmitic + linoleic) acids ratio was regulated by the environment and genotype by environment interaction had the major effect on oil content. Among the studied cultivars, different level of stability was observed, which allowed ranking the cultivars based on their plasticity for oil traits. High thermal amplitude, the difference of low and high year values of temperature, negatively affected the oil content and the oleic acid percentage. Information derived from this work will help to direct the selection of cultivars with the highest global fitness averaged over the environments rather than the highest fitness in each environment separately.

scholarly journals Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil

2021 ◽  
Vol 56 ◽  
Author(s):  
Rafael Ferreira Montes ◽  
Flávio Breseghello ◽  
João Batista Duarte
Keyword(s):  
Environmental Factors ◽  
Field Trials ◽  
Genotype By Environment Interaction ◽  
The State ◽  
Specific Yield ◽  
Maximum Temperature ◽  
Environment Interaction ◽  
Average Temperature ◽  
Genotype By Environment ◽  
Selection Of

Abstract The objective of this work was to identify environmental factors with significant effects on the genotype by environment interaction (GEI) of sugarcane, and to generate thematic maps yield adaptability of genotypes for the state of Goiás, Brazil, through the integrated use of factorial regression models and the geographic information system (GIS). The study was based on the yield of recoverable sugar (YRS) from cultivar field trials carried out in nine locations. Fourteen environmental factors were used, out of which 11 were divided into 10 crop growth phases, totaling 113 environmental covariates (ECs). The selection of ECs was done by successive simple linear regressions, and the respective genotypic sensitivity coefficients were used to generate adaptability maps. Approximately 57% of the GEI effects were related to the covariates longitude, average temperature at crop germination phase, and maximum temperature at the beginning of the phase of greatest growth. For YRS, the RB034128 and RB034021 clones show specific yield adaptations, and the RB034045 cultivar can share the growing area with the RB867515 check cultivar.

scholarly journals Improving yield and fruit quality traits in sweet passion fruit: Evidence for genotype by environment interaction and selection of promising genotypes

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0232818
Author(s):  
Lourdes Maria Chavarría-Perez ◽  
Willian Giordani ◽  
Kaio Olimpio Graças Dias ◽  
Zirlane Portugal Costa ◽  
Carolina Albuquerque Massena Ribeiro ◽  
...  
Keyword(s):  
Fruit Quality ◽  
Genotype By Environment Interaction ◽  
Passion Fruit ◽  
Environment Interaction ◽  
Quality Traits ◽  
Genotype By Environment ◽  
Fruit Quality Traits ◽  
Selection Of

scholarly journals Capturing GEI Patterns for Quality Traits in Biparental Wheat Populations

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1022
Author(s):  
Ivana Plavšin ◽  
Jerko Gunjača ◽  
Ruđer Šimek ◽  
Dario Novoselović
Keyword(s):  
Genotype By Environment Interaction ◽  
Grain Protein Content ◽  
Environment Interaction ◽  
Quality Traits ◽  
Dominant Source ◽  
Genotype By Environment ◽  
Ammi Model ◽  
Superior Genotypes ◽  
Main Effects ◽  
Selection Of

Genotype-by-environment interaction (GEI) is often a great challenge for breeders since it makes the selection of stable or superior genotypes more difficult. In order to reduce drawbacks caused by GEI and make the selection for wheat quality more effective, it is important to properly assess the effects of genotype, environment, and GEI on the trait of interest. In the present study, GEI patterns for the selected quality and mixograph traits were studied using the Additive Main Effects and Multiplicative Interaction (AMMI) model. Two biparental wheat populations consisting of 145 and 175 RILs were evaluated in six environments. The environment was the dominant source of variation for grain protein content (GPC), wet gluten content (WGC), and test weight (TW), accounting for approximately 40% to 85% of the total variation. The pattern was less consistent for mixograph traits for which the dominant source of variation has been shown to be trait and population-dependent. Overall, GEI has been shown to play a more important role for mixograph traits compared to other quality traits. Inspection of the AMMI2 biplot revealed some broadly adapted RILs, among which, MG124 is the most interesting, being the prevalent “winner” for GPC and WGC, but also the “winner” for non-correlated trait TW in environment SB10.

scholarly journals Interference of genotype-by-environment interaction in the selection of inbred lines of yellow melon in an agricultural center in Mossoró-Assu, Brazil

2016 ◽  
Vol 38 (1) ◽  
pp. 51 ◽  
Author(s):  
Isaías Porfírio Guimarães ◽  
Júlio César DoVale ◽  
Rafaela Priscila Antônio ◽  
Fernando Antônio Souza de Aragão ◽  
Glauber Henrique de Sousa Nunes
Keyword(s):  
Genotype By Environment Interaction ◽  
Inbred Lines ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Selection Of

scholarly journals Selection of carioca common bean lines with slow darkening

2021 ◽  
Vol 56 ◽  
Author(s):  
Helton Santos Pereira ◽  
Fabiana Rocha Mendonça ◽  
Ludivina Lima Rodrigues ◽  
Leonardo Cunha Melo ◽  
Patrícia Guimarães Santos Melo ◽  
...  
Keyword(s):  
Common Bean ◽  
Seed Coat ◽  
Field Trials ◽  
Genotype By Environment Interaction ◽  
Grain Weight ◽  
High Yield ◽  
Environment Interaction ◽  
Mean Values ◽  
Genotype By Environment ◽  
Selection Of

Abstract The objective of this work was to evaluate the interaction between genotypes and environment for seed-coat darkening of common bean (Phaseolus vulgaris) seeds, in order to select lines that combine slow darkening, upright plants, resistance to lodging, and higher yield and 100-grain weight, with good adaptability and stability for these traits. Forty four pre-selected lines, originating from crosses between one cultivar with slow darkening and prostrate plants and four cultivars with normal darkening and upright plants, were evaluated in field trials conducted in 15 environments (combinations of locations, crop seasons, and years). Considering the mean values, adaptability, and stability for each isolated trait, most of the lines presented satisfactory performance: 75% for slow darkening, 48% for high yield, 59% for upright plants, 84% for resistance to lodging, and 68% for 100-grain weight. The effects of environments and of the genotype by environment interaction are important for the five studied traits. The CNFC 16754 and CNFC 16820 lines present slow seed-coat darkening, high yield and 100-grain weight, more upright plant architecture, and greater resistance to lodging, besides high adaptability and stability for these traits, which shows their potential for recommendation as new cultivars and confirms that it is possible to join desirable phenotypes for the five traits evaluated.

Sign in / Sign up

Export Citation Format

Share Document