scholarly journals Genotype by environment interaction for growth and survival rate in black tiger shrimp (Penaeus monodon) in generation 4

2019 ◽  
Vol 18 (5) ◽  
pp. 24-32
Author(s):  
Sang V. Nguyen
Keyword(s):  
Growth Rate ◽  
Survival Rate ◽  
Genetic Correlations ◽  
Growth Trait ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
The South ◽  
Selection Program ◽  
Genotype By Environment ◽  
Testing Environments

Genotype by environment interaction for growth rate in G1 of the same selection program has been published. However, there is no repeated figure in later generations for confirming and well-planning the design of selection program for further improvement. The experiment was conducted using selective population of generation 4 with 97 families tested in 3 environments. Growth (body weight) and survival rate at harvest weight were recorded and evaluated. There was no genotype by environment interaction for both traits with high genetic correlations of the same traits tested between ponds in the Central and in the South of Vietnam of 0.80 and 0.83, respectively. There was also no genotype by environment interaction for growth rate between ponds in the South of Vietnam and bio-security indoor tank with high genetic correlation of 0.91. These results indicated that the number of testing environments would be reduced to save the operation cost for a breeding program. Estimated genetic response was from moderate to high for growth trait corresponding to moderate to high heritabilities (0.20 - 0.45) and high for survival rate corresponding to high heritabilities (0.34 - 0.45).

The genetic variation in the timing of heteroblastic transition in Eucalyptus globulus is stable across environments

2011 ◽  
Vol 59 (2) ◽  
pp. 170 ◽  
Author(s):  
M. G. Hamilton ◽  
P. A. Tilyard ◽  
D. R. Williams ◽  
R. E. Vaillancourt ◽  
T. J. Wardlaw ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Phase Change ◽  
Eucalyptus Globulus ◽  
Developmental Change ◽  
Genetic Correlations ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Narrow Sense Heritability ◽  
Genotype By Environment ◽  
Analyse Data

Eucalyptus globulus is one of the best known examples of a heteroblastic plant. It exhibits a dramatic phase change from distinctive juvenile to adult leaves, but the timing of this transition varies markedly. We examined the genetic variation in the timing of heteroblastic transition using five large open-pollinated progeny trials established in north-western Tasmania. We used univariate and multi-variate mixed models to analyse data on the presence/absence of adult or intermediate foliage at age 2 years from a total of 14 860 trees across five trials, as well as height to heteroblastic phase change from one trial. Up to 566 families and 15 geographic subraces of E. globulus were represented in the trials. The timing of the heteroblastic transition was genetically variable and under strong genetic control at the subrace and within-subrace level, with single-trial narrow-sense heritability estimates for the binary trait averaging 0.50 (range 0.44–0.65). The degree of quantitative trait differentiation in the timing of heteroblastic transition among subraces, as measured by QST, exceeded the published level of neutral molecular marker (FST) differentiation in all cases, arguing that diversifying selection has contributed to shaping broad-scale patterns of genetic differentiation. Most inter-trial genetic correlations were close to one at the subrace and additive genetic levels, indicating that the genetic variation in this important developmental change is expressed in a stable manner and that genotype-by-environment interaction is minimal across the environments studied.

scholarly journals Analysis of genotype by environment interactions in a maize mapping population

2021 ◽  
Author(s):  
Asher I Hudson ◽  
Sarah G Odell ◽  
Pierre Dubreuil ◽  
Marie-Helene Tixier ◽  
Sebastien Praud ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Genetic Correlations ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Crop Breeding ◽  
Genotype By Environment Interactions ◽  
Genotype By Environment ◽  
Genome Wide ◽  
A Genome ◽  
Genetic Covariances

Genotype by environment interactions are a significant challenge for crop breeding as well as being important for understanding the genetic basis of environmental adaptation. In this study, we analyzed genotype by environment interaction in a maize multi-parent advanced generation intercross population grown across five environments. We found that genotype by environment interactions contributed as much as genotypic effects to the variation in some agronomically important traits. In order to understand how genetic correlations between traits change across environments, we estimated the genetic variance-covariance matrix in each environment. Changes in genetic covariances between traits across environments were common, even among traits that show low genotype by environment variance. We also performed a genome-wide association study to identify markers associated with genotype by environment interactions but found only a small number of significantly associated markers, possibly due to the highly polygenic nature of genotype by environment interactions in this population.

Sensitivity of genotypes to feeding systems for production, weight and feed intake in dairy cattle

2000 ◽  
Vol 2000 ◽  
pp. 112-112 ◽  
Author(s):  
J.E. Pryce ◽  
R.F. Veerkamp
Keyword(s):  
Dry Matter ◽  
Genetic Parameter ◽  
Genetic Correlations ◽  
Genotype By Environment Interaction ◽  
Parameter Estimates ◽  
Environment Interaction ◽  
Combine Data ◽  
Genotype By Environment ◽  
University Of Edinburgh ◽  
Feeding Systems

Getting reliable genetic parameter estimates for dry matter intake is difficult because recording it is expensive, hence it is tempting to combine data from research herds. However, there are large differences in feeding and management systems, which causes differences in means across herds. Furthermore, variances or heritabilities may differ and genetic correlations may be less than one between herds. This is one of the reasons why it is important to investigate effects of genotype by environment interaction (GxE). Another reason is that it is important to understand how high genetic merit cows perform in different feeding systems. The objective of this study was to estimate the effect of GxE for three feeding systems at two research herds belonging to ID-Lelystad (ID) and to SAC/University of Edinburgh (Langhill).

scholarly journals Genotype by Environment Interaction in Pinus sylvestris L. in Southern Sweden

2008 ◽  
Vol 57 (1-6) ◽  
pp. 306-311 ◽  
Author(s):  
B. Hannrup ◽  
G. Jansson ◽  
Ö. Danell
Keyword(s):  
Pinus Sylvestris ◽  
Genetic Correlation ◽  
Growth Traits ◽  
Genetic Correlations ◽  
Site Index ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Height Increment ◽  
Southern Sweden ◽  
Genotype By Environment

Abstract To estimate the amount of genotype by environment interaction (G x E) data was obtained within the Swedish breeding program of Pinus sylvestris L. The calculations were based on estimates of G x E expressed by the genetic correlations across trials. In total, 66 progeny trials were included coming from 17 different test series. The number of parents tested per progeny trial was in average 52. Some parents were tested in several series and in total 812 parents were represented in the study. The results of our study showed that the amount of G x E for growth traits in Pinus sylvestris in southern Sweden was low. The median genetic correlation across trials for height, height increment and diameter were in the range 0.75-0.80 and the pattern of interaction was largely unpredictable from site differences in site index, latitude, longitude and altitude.

Genotype by environment interactions: experience from Langhill

1995 ◽  
Vol 19 ◽  
pp. 59-66 ◽  
Author(s):  
R. F. Veerkamp ◽  
G. Simm ◽  
J. D. Oldham
Keyword(s):  
Genetic Correlations ◽  
Live Weight ◽  
Genotype By Environment Interaction ◽  
Protein Yield ◽  
Energy Output ◽  
Research Centre ◽  
Control Line ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Rate Of Increase

AbstractGenotype by environment interaction was investigated for a range of traits. Selection (S) and control line (C) cows, housed and managed at the Langhill Dairy Cattle Research Centre, were offered ad libitum complete mixed diets, with proportions (in total dry matter) of concentrates, silage, brewers’ grains of either 20:5:75 (LC; 1.0 t concentrate per annum) or 45 :5 :50 (HC; 2.5 t concentrate), over a full lactation. No diet X genetic line interactions were observed for a range of traits (production, food intake, live weight and condition score) when compared as means. However, regression coefficients of protein yield (P < 0.05), milk yield (P < 0.10) and protein percentage (P < 0.10) on pedigree index for fat plus protein yield were different between LC and HC. Genetic correlations between HC and LC were high for most traits, and only for fat yield was the value below 0-80. Because the rate of increase in energy output from selection is unlikely to be matched by the rate of increase in intake during the first part of the lactation, it was expected that intake capacity is likely to become more important in the future, regardless of the feeding system. For this reason, it is suggested that selecting for a lower live weight whilst simultaneously selecting for increased yield (an approach which has been advocated in some countries) should be treated cautiously. Especially on low input diets increases in yield as a result of continued selection (on higher input diets) may be limited by the rate, or extent of tissue mobilization; under these circumstances health and fertility problems might be the first indicators of such limits being approached.

scholarly journals Genetic associations between stayability and longevity in commercial crossbred sows, and stayability in multiplier sows

2020 ◽  
Vol 98 (6) ◽  
Author(s):  
Bjarke G Poulsen ◽  
Bjarne Nielsen ◽  
Tage Ostersen ◽  
Ole F Christensen
Keyword(s):  
Maximum Likelihood ◽  
Mixed Models ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Strongly Correlated ◽  
Genetic Associations ◽  
Genotype By Environment ◽  
Genotype Interaction

Abstract Longevity in commercial sows is often selected for through stayability traits measured in purebred animals. However, this may not be justifiable because longevity and stayability may be subject to both genotype by environment interaction (G × E) and genotype by genotype interaction (G × G). This study tested the hypothesis that stayability to service after first parity is more strongly genetically correlated with longevity in commercial herds when stayability is measured in commercial herds rather than multiplier herds. The analysis was based on farrowing- and service-records from 470,824 sows (189,263 multiplier; 281,561 commercial) and 300 herds (156 multiplier; 144 commercial sows). Multiplier sows were either purebred Landrace or Yorkshire and commercial sows were mainly rotationally crossbreds between the two breeds. Commercial longevity was defined as age in days when culled (LongC), and stayability to service after first parity was defined for both commercial sows (StayC) and multiplier sows (StayM). The genetic correlations between LongC, StayC, and StayM were estimated by restricted maximum likelihood using linear mixed models. Genetic parameters were estimated separately for Landrace and Yorkshire. In Landrace, the genetic correlations between LongC and StayC, LongC and StayM, and StayC and StayM were 0.86 ± 0.02, 0.24 ± 0.05, and 0.34 ± 0.06, respectively. In Yorkshire, the genetic correlations between LongC and StayC, LongC and StayM, and StayC and StayM were 0.81 ± 0.03, 0.17 ± 0.05, and 0.18 ± 0.7, respectively. Conclusively, longevity in commercial herds is more strongly correlated with stayability when stayability is measured in commercial herds rather than multiplier herds.

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