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 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 Adaptation of One-Flowered Vetch (Vicia articulata Hornem.) to Mediterranean Rain Fed Conditions

Agronomy ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 383 ◽  
Author(s):  
Diego Rubiales ◽  
Fernando Flores
Keyword(s):  
Field Testing ◽  
Genotype By Environment Interaction ◽  
High Yield ◽  
Limiting Factor ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Germplasm Collections ◽  
Crop Development ◽  
Superior Genotypes ◽  
Effect On Yield

One-flower vetch (Vicia articulata) was widely cultivated in the Mediterranean Basin in the past but is currently underutilized. Valuable germplasm collections are stored in genebanks, which are poorly characterized. In an attempt to explore adaptation of landraces we performed a multi-environment field testing, showing the availability of valuable resources for crop development, with average yield across environments ranging from 651 to 1102 kg/ha. Environmental factors and significant Genotype-by-Environment (G*E) interaction hampers selection of superior genotypes. Heritability-Adjusted Genotype plus Genotype-by-Environment interaction (HA-GGE) biplot performed here allowed to focus on the G and G*E interaction components relevant to cultivar evaluation. Landraces Va-38 and Va-85 were identified as the highest yielding landraces, being also the most stable over the environments. Two additional groups of landraces with relatively high yield were also identified but showing little stability across environments, with landraces Va-91 and Va-103 performing better in Córdoba, whereas Va-1, Va-2 and Va-66, did in Escacena. Córdoba appeared as a useful environment for selection, being representative, discriminant, and reproducible. Differences in precocity among landraces had little effect on yield in any of the studied environments. Temperature was the climatic factor most influential on yield as shown by Non-Metric Multidimensional Scaling (NMDS) analysis. High temperatures after flowering being the most limiting factor for yield. Increased radiation during and after flowering were beneficial, with rain having little effect.

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 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.

Genotype by environment interaction for milk, fat and protein yield in Holstein Friesian dairy cattle in Ireland

1998 ◽  
Vol 1998 ◽  
pp. 52-52 ◽  
Author(s):  
A. R Cromie ◽  
D.L Kelleher ◽  
F.J Gordon ◽  
M. Rath
Keyword(s):  
Dairy Cattle ◽  
Genetic Correlation ◽  
Milk Fat ◽  
Genotype By Environment Interaction ◽  
Protein Yield ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Holstein Friesian ◽  
The Difference ◽  
Made In

The existence of genotype by environment interaction (G*E) can cause a change in the ranking of bulls tested in one environment when their daughters are subsequently milked in another environment. If the degree of re-ranking is large, the genetic correlation between milk production in the two environments will be substantially less than 1.0, with the implication that proofs made in one environment may not be reliable predictors of proofs in the second environment. The aim of this study was to investigate the effect of increasing the difference between environments, defined on the basis of herd average milk yield, on the genetic correlation (rg) for milk, fat and protein yield in Holstein Friesian dairy cattle in Ireland.

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 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.

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