scholarly journals Genotype x Environment Interaction in Maritime Pine Families in Galicia, Northwest Spain

2004 ◽  
Vol 53 (1-6) ◽  
pp. 175-182 ◽  
Author(s):  
R. Zas ◽  
E. Merlo ◽  
J. Fernández-López
Keyword(s):  
Variance Component ◽  
Practical Importance ◽  
Genetic Correlations ◽  
Maritime Pine ◽  
Environment Interaction ◽  
Nw Spain ◽  
Genotype X Environment ◽  
Pinus Pinaster Ait ◽  
Sib Families ◽  
The Stability

SummaryThe magnitude and practical importance of family x site interactions for growth and form traits in maritime pine (Pinus pinaster Ait.) breeding in the coastal area of Galicia (NW Spain) were analysed using several different techniques. Data were from 58 8-yr-old half-sib families planted across four sites. The analysis of variance and the ratio of interaction to family variance component showed the interactions to be quantitatively important for several traits, especially for volume and straightness. Genetic correlations between the same trait at different sites were moderate and highly variable, especially for certain pairs of sites. The results indicated that interactions are a consequence of few highly interactive families that may be particularly sensitive to environmental variation. The removal of these families from the breeding program appeared as an effective strategy to solve the interactions. Results are discussed in relation to the stability parameter considered to identify the most unstable progenies.

scholarly journals Genotype x Environment Interaction and Yield-Stability Analyses of Rice Grown in Tropical Inland Swamp

2011 ◽  
Vol 39 (1) ◽  
pp. 220 ◽  
Author(s):  
Adesola L. NASSIR ◽  
Omolayo J. ARIYO
Keyword(s):  
Total Variation ◽  
Yield Stability ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Rice Varieties ◽  
Environmental Indices ◽  
Genotype X Environment ◽  
Additional Information ◽  
Gxe Interaction ◽  
The Stability

Twelve rice varieties were cultivated in inland hydromorphic lowland over a four year-season period in tropical rainforest ecology to study the genotype x environment (GxE) interaction and yield stability and to determine the agronomic and environmental factors responsible for the interaction. Data on yield and agronomic characters and environmental variables were analyzed using the Additive Main Effect and Multiplicative Interaction (AMMI), Genotype and Genotype x Environment Interaction, GGE and the yield stability using the modified rank-sum statistic (YSi). AMMI analysis revealed environmental differences as accounting for 47.6% of the total variation. The genotype and GxE interaction accounted for 28.5% and 24% respectively. The first and second interaction axes captured 57% and 30% of the total variation due to GXE interaction. The analysis identified ‘TOX 3107’ as having a combination of stable and average yield. The GGE captured 85.8%of the total GxE. ‘TOX 3226-53-2-2-2’ and ‘ITA 230’ were high yielding but adjudged unstable by AMMI. These two varieties along with ‘WITA 1’ and ‘TOX 3180-32-2-1-3-5’ were identified with good inland swamp environment, which is essentially moisture based. The two varieties (‘TOX 3226-53-2-2-2’ and ‘ITA 230’), which were equally considered unstable in yield by the stability variance, ?2i, were selected by YSi in addition to ‘TOX 3107’, ‘WITA 1’, ‘IR 8’ and ‘M 55’. The statistic may positively complement AMMI and GGE in selecting varieties suited to specific locations with peculiar fluctuations in environmental indices. Correlation of PC scores with environmental and agronomic variables identified total rainfall up to the reproductive stage, variation in tillering ability and plant height as the most important factors underlying the GxE interaction. Additional information from the models can be positively utilized in varietal development for different ecologies.

scholarly journals Interaksi Genotipe x Lingkungan Hasil dan Komponen Hasil 14 Genotipe Tomat di Empat Lingkungan Dataran Rendah

2015 ◽  
Vol 43 (1) ◽  
pp. 59
Author(s):  
Suprayanti Martia Dewi ◽  
Sobir , ◽  
Muhamad Syukur
Keyword(s):  
Stability Analysis ◽  
Block Design ◽  
Fruit Weight ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Gxe Interaction ◽  
Superior Genotype ◽  
Ammi Model ◽  
The Stability

Genotype x environment interaction (GxE) information is needed by plant breeders to assist the identification of superior genotype. Stability analysis can be done if there is a GxE interaction, to show the stability of a genotype when planted in different environments. This study aimed to estimate the effects of genotype x environment interaction on yield and yield components of fruit weight per plant as well as to look at the stability of 14 tomato genotypes at four lowland locations. The study was conducted at four locations, namely Purwakarta, Lombok, Tajur and Leuwikopo. Experiments at each location was arranged in a randomized complete block design with three replications. Stability analysis was performed using the AMMI model. Fruit weight, fruit diameter, number of fruits per plant and total fruit weight per plant characters showed highly significant genotype x environment interactions. Variability due to the effect of GxE interaction based on a AMMI2 contributed by 88.50%. IPBT3, IPBT33, IPBT34, IPBT60 and Intan were stable genotypes under AMMI model.<br />Keywords: AMMI, multilocation trials

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

Genotype × environment interaction in Norway spruce involving three levels of genetic control: seed source, clone mixture, and clone

1988 ◽  
Vol 18 (9) ◽  
pp. 1172-1181 ◽  
Author(s):  
B. G. Bentzer ◽  
G. S. Foster ◽  
A. R. Hellberg ◽  
A. C. Podzorski
Keyword(s):  
Genetic Control ◽  
Genetic Correlations ◽  
Negative Relationship ◽  
Height Growth ◽  
Regression Coefficients ◽  
Environment Interaction ◽  
Control Seed ◽  
Genotype Environment Interaction ◽  
The Stability ◽  
Average Individual

A total of 913 Piceaabies (L.) Karst. clones was tested for height at ages 1 and 5 in two series on six and three locations, respectively, in Sweden. The genotype × environment interaction was studied for three levels of genetic control, i.e., seedling checklot, clone mixture, and clone. Stability of all three was estimated using regression coefficients. The alternative method, genetic correlation between locations, was also used to measure stability. Height differences among seedling checklots and among clones were substantial at age 5, while the variation among clone mixtures was not significant. Genotype × environment interaction was found to be significant for clones and accounted for an average of 2.1% of the total variance at age 5. No significant interaction was found between mixtures and locations. The genotype × environment interaction for seedling checklots was not significant and accounted for 0.5% of the total variation at age 5. The stability of seedling checklots at age 5 was high. For the clone mixtures, stability was found to be about average. Individual clones showed wide variation in stability. There was an apparent negative relationship between clone performance and stability. Genetic correlations indicated close agreement between locations in the ranking of clones for height growth.

scholarly journals An overview of genotype x environment interaction and yield stability analysis in applied plant breeding: great emphasis given to coffee (Coffea arabica L.)

2022 ◽  
Vol 11 (2) ◽  
pp. 117-123
Author(s):  
Wakuma Merga Sakata
Keyword(s):  
Stability Analysis ◽  
Plant Breeding ◽  
Yield Stability ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Coffee Bean ◽  
Genotype X Environment ◽  
Stability Measurement ◽  
Bean Yield ◽  
The Stability

The inconsistence of genotypes across location during plant breeding is the major challenges to the breeder. That is the differential response of genotypes to different environment. Meanwhile stability is the ability of a genotype to withstand stressful conditions and yet be able to produce yield. Thus, stability is an absolute and relative measure. Arabica coffee has location specific adaptation nature and that leads to highly significant instability in its breeding program. In the study of coffee bean yield stability cultivars tested at multi- locations within the domain of coffee growing ecologies of Ethiopia, showed a significant genotype x environment interaction. The review of previous research also indicated inconsistent effects of genotype x environment interaction on cup quality. Yield-stability analysis is very important in measuring cultivar stability and suitability for growing crops across seasons and agro-ecological region to identify stable genotype. The yield stability have been challenge to the plant breeders and biometricians, it complicates the selection of superior genotypes. It is important to minimize the usefulness of the genotype across environments for selecting. Since approach of plant breeding is to develop genotypes that are, optimum for the condition under which they will be grown breeders have to manage yield instability throughout formalized procedures of plant breeding. During stability measurement if the variance is found to be significant, various methods of measuring the stability of genotypes can be used to identify the stable genotype(s). Most of stability analysis parameters are briefly discussed in this review. Int. J. Agril. Res. Innov. Tech. 11(2): 117-123, Dec 2021

scholarly journals Yield Stability of Contrasting Orchardgrass (Dactylis Glomerata L.) Genotypes Over the Years and Water Regimes 

2021 ◽  
Author(s):  
Fatemeh Saeidnia ◽  
Mohammad Mahdi Majidi ◽  
Aghafakhr Mirlohi ◽  
Mohammad Reza Dehghani ◽  
Behnam Hosseini
Keyword(s):  
Water Deficit ◽  
Combining Ability ◽  
Genotypic Variation ◽  
Forage Yield ◽  
Environment Interaction ◽  
Genetic Progress ◽  
Narrow Sense Heritability ◽  
Sib Families ◽  
Dactylis Glomerata L ◽  
The Stability

Abstract Stability of combining ability and the nature and extent of genetic and genotype×environment interaction is poorly understood in orchardgrass especially under climate change conditions. In the present study, first-generation half-sib families of orchardgrass derived from the polycross of 25 parental genotypes were evaluated in the field during five years under two irrigation regimes of normal and water deficit. Considerable genotypic variation was observed among half-sib families for all of the evaluated traits, demonstrating high potential for improving these traits through half-sib mating. The effects of water deficit on dry forage yield increased from the first to fifth year and consequently declined the persistence of half-sib families. Results showed that both genetic and non-genetic gene actions played a role in the control of dry forage yield; indicating that selection based on an index would be more useful to attain genetic progress. Moreover, the estimates of narrow-sense heritability for most of the traits were higher under deficit irrigation, which is advantageous for successful selection. The stability of general combining ability, plant productivity, and drought tolerance clearly identified G4, G5, G6, and G14 as the superior and stable parental genotypes able to transmit both stability and forage productivity to their progenies.

A Mixed-Model Approach to Mapping Quantitative Trait Loci in Barley on the Basis of Multiple Environment Data

Genetics ◽  
2000 ◽  
Vol 156 (4) ◽  
pp. 2043-2050 ◽  
Author(s):  
Hans-Peter Piepho
Keyword(s):  
Mixed Model ◽  
Genome Mapping ◽  
Genetic Correlations ◽  
Environment Interaction ◽  
Model Framework ◽  
Mixed Model Approach ◽  
The North ◽  
Qtl By Environment Interaction ◽  
The Stability ◽  
Qtl Effects

AbstractIn this article, I propose a mixed-model method to detect QTL with significant mean effect across environments and to characterize the stability of effects across multiple environments. I demonstrate the method using the barley dataset by the North American Barley Genome Mapping Project. The analysis raises the need for mixed modeling in two different ways. First, it is reasonable to regard environments as a random sample from a population of target environments. Thus, environmental main effects and QTL-by-environment interaction effects are regarded as random. Second, I expect a genetic correlation among pairs of environments caused by undetected QTL. I show how random QTL-by-environment effects as well as genetic correlations are straightforwardly handled in a mixed-model framework. The main advantage of this method is the ability to assess the stability of QTL effects. Moreover, the method allows valid statistical inferences regarding average QTL effects.

scholarly journals Genetic analysis of early field growth of loblolly pine clones and seedlings from the same full-sib families

2007 ◽  
Vol 37 (1) ◽  
pp. 195-205 ◽  
Author(s):  
Brian S Baltunis ◽  
Dudley A Huber ◽  
Timothy L White ◽  
Barry Goldfarb ◽  
Henry E Stelzer
Keyword(s):  
Loblolly Pine ◽  
Genetic Variance ◽  
Recurrent Selection ◽  
Growth Traits ◽  
Genetic Correlations ◽  
Field Trials ◽  
Population Based ◽  
Environment Interaction ◽  
Clonal Population ◽  
Sib Families

Field trials established with clones and seedlings from the same families provide an opportunity for comparing full-sib family performance across propagule types. More than 1200 different clones together with over 14 000 zygotic seedlings from the same 61 full-sib families of loblolly pine (Pinus taeda L.) were tested on multiple sites across Florida and Georgia. The genetic variance associated with several early growth traits partitioned differently depending on propagule type. Most of the genetic variance associated with growth in the clonal population was additive, while the estimate of dominance in the seedling population was greater than estimates of dominance in the clonal population, based on single-site analyses. Apparently, a lack of randomization of the seedlings prior to field establishment caused full-sib families to appear more different, inflating estimates of dominance genetic variance. Parental and full-sib family ranks were stable regardless of propagule type as indicated by type B genetic correlations. In the clonal population, little genotype × environment interaction was observed across sites at the parental, family, and clonal levels for all traits. The high genetic correlations between propagule types provide further assurance that selections made through traditional tree-improvement activities for recurrent selection for general combining ability in seedling trials can also be used successfully for breeding families to test in a clonal forestry program.

Response of maritime pine (Pinus pinaster Ait.) recruitment to fire severity and post-fire management in a coastal burned area in Galicia (NW Spain)

Plant Ecology ◽  
2009 ◽  
Vol 206 (2) ◽  
pp. 297-308 ◽  
Author(s):  
José A. Vega ◽  
Cristina Fernández ◽  
Pedro Pérez-Gorostiaga ◽  
Teresa Fonturbel
Keyword(s):  
Pinus Pinaster ◽  
Fire Management ◽  
Fire Severity ◽  
Maritime Pine ◽  
Burned Area ◽  
Nw Spain ◽  
Pinus Pinaster Ait

scholarly journals Genotype x Environment Interaction and Stability Analysis in Okra [Abelmoschus esculentus (L.) Moench] in Cameroon

2020 ◽  
pp. 1-15
Author(s):  
Dabandata Célestin ◽  
Ngalle Hermine Bille ◽  
Nsimi Mva Armand ◽  
Ndiang Zenabou ◽  
Likeng L. I. Ngue Bénoit- Constant ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Block Design ◽  
Performance Measure ◽  
Genotype X Environment Interaction ◽  
Abelmoschus Esculentus ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Randomized Complete Block Design ◽  
Peduncle Length ◽  
The Stability

A study was conducted to assess genotype x environment interaction and also to determine stability of okra (Abelmoschus esculentus L. Moench) genotypes for nine traits in Cameroon. Eight okra genotypes (including five parents of Cameroon and three exotics) were evaluated across three different locations (Dibang, Yagoua and Yaounde) using a randomized complete block design (RCBD) with three replications. Each plot consisted of three rows of six plants each. Genotype x environment interaction has been evaluated using SAS Software.  There was considerable variation for all traits studied among both genotypes and environments. Five different methods of stability analysis have been used for the comparison of the genotypes and also to determine the most suitable stability parameter of okra. The stability in relation to the characters is independent of the genotypes. A total correspondence (r=1) exist between the general mean and the Pi performance for characters such as 50 % flowering and the fruit peduncle length. For, the procedure of Lin and Binns appeared to be more of a genotype performance measure, rather than a stability measure. The Wricke’s and Shukla’s procedures of stability statistic showed the highest significant positive correlation (P<0.01) with the majority of the studied character. That makes these procedures equivalent for ranking purposes.

Sign in / Sign up

Export Citation Format

Share Document