scholarly journals A resampling test for principal component analysis of genotype-by-environment interaction

2015 ◽  
Vol 19 (1) ◽  
pp. 27 ◽  
Author(s):  
Johannes Forkman
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Genotype By Environment

Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Om Prakash Yadav ◽  
A. K. Razdan ◽  
Bupesh Kumar ◽  
Praveen Singh ◽  
Anjani K. Singh
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Principal Component ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Principal Component Axis ◽  
Ammi Analysis

Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qha–1), BH 902 (37.53qha–1) and RD 2907 (33.29qha–1) exhibited grain yield superiority of 64.45, 30.42, 50.42 and 33.42 per cent, respectively over farmers’ recycled variety (24.43qha–1).

Three-Mode Principal Component Analysis of Genotype-by-Environment-by-Trait Data in Durum Wheat

2011 ◽  
Vol 25 (6) ◽  
pp. 619-649 ◽  
Author(s):  
Marco Dettori ◽  
José Crossa ◽  
Karim Ammar ◽  
Roberto J. Peña ◽  
Mario Varela
Keyword(s):  
Principal Component Analysis ◽  
Durum Wheat ◽  
Principal Component ◽  
Component Analysis ◽  
Genotype By Environment

scholarly journals Stability of Maize Hybrids across Environments Using Gge Biplot and Ammi Analysis

2019 ◽  
Vol 8 (2) ◽  
pp. 188-194
Author(s):  
Saleem Abid ◽  
Saleem Zahid
Keyword(s):  
Total Yield ◽  
Principal Component ◽  
Maize Yield ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Maize Hybrids ◽  
Genotype By Environment ◽  
Yield Variation ◽  
Ammi Analysis

Twenty six yellow maize hybrids on the basis of stability analysis were evaluated in National Uniform Maize Hybrid Yield Trials conducted across eight diversified environments of Pakistan. Combined analysis of variance based AMMI analysis shown highly significant differences for environments, genotypes and their interactions. The environments explained about 78 percent of the total yield variation followed by genotype by environment interaction. Environment was the main aspect that influences the performance of maize yield in study area. The first two interaction principal component axes (IPCA1 and IPCA2) explained about 63 percent of the grain yield variation due to genotype and genotype by environment interaction (GGE). The GGE biplot analysis shown that entry-2 (Mex-YLHY2) was the most stable hybrid and can be considered as adaptable to all the environments.

scholarly journals Genotype plus genotype by-environment interaction biplot and genetic diversity analyses on multi-environment trials data of yield and technological traits of cotton cultivars

2022 ◽  
Vol 52 (2) ◽  
Author(s):  
Marco Antônio Peixoto ◽  
Renan Garcia Malikouski ◽  
Emanuel Ferrari do Nascimento ◽  
Andreia Schuster ◽  
Francisco José Correia Farias ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Fiber Strength ◽  
Principal Component ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Cotton Genotypes ◽  
Best Linear Unbiased ◽  
Estimation Of Variance

ABSTRACT: Understanding the genetic diversity and overcoming genotype-by-environment interaction issues is an essential step in breeding programs that aims to improve the performance of desirable traits. This study estimated genetic diversity and applied genotype + genotype-by-environment (GGE) biplot analyses in cotton genotypes. Twelve genotypes were evaluated for fiber yield, fiber length, fiber strength, and micronaire. Estimation of variance components and genetic parameters was made through restricted maximum likelihood and the prediction of genotypic values was made through best linear unbiased prediction. The modified Tocher and principal component analysis (PCA) methods, were used to quantify genetic diversity among genotypes. GGE biplot was performed to find the best genotypes regarding adaptability and stability. The Tocher technique and PCA allowed for the formation of clusters of similar genotypes based on a multivariate framework. The GGE biplot indicated that the genotypes IMACV 690 and IMA08 WS were highly adaptable and stable for the main traits in cotton. The cross between the genotype IMACV 690 and IMA08 WS is the most recommended to increase the performance of the main traits in cotton crops.

scholarly journals Use of Principal Component Analysis to Combine Genetic Merit for Heat Stress and for Fat and Protein Yield in Spanish Autochthonous Dairy Goat Breeds

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 736
Author(s):  
Alberto Menéndez-Buxadera ◽  
Eva Muñoz-Mejías ◽  
Manuel Sánchez ◽  
Juan Manuel Serradilla ◽  
Antonio Molina
Keyword(s):  
Principal Component Analysis ◽  
Heat Stress ◽  
Genetic Variability ◽  
Negative Impact ◽  
Genetic Correlations ◽  
Principal Component ◽  
Component Analysis ◽  
Dairy Goat ◽  
Environment Interaction ◽  
Dairy Goats

We studied the effect of the Temperature Humidity Index (THI) (i.e., the average of temperature and relative humidity registered at meteorological stations) closest to the farms taken during the test day (TD), for total daily protein and fat yields (fpy) of the three main Spanish dairy goats. The data were from Florida (11,244 animals and 126,825 TD), Malagueña (12,215 animals and 141,856 TD) and Murciano Granadina (5162 animals and 62,834 TD) breeding programs and were studied by different linear models to estimate the nature of the fpy response throughout the THI and the weeks of lactation (Days in Milk, DIM) trajectories. The results showed an antagonism between THI and DIM, with a marked depression in the fpy level in animals kept in the hot zone of the THI values (THI > 25) compared with those in the cold zone (THI ≤ 16), with a negative impact equivalent to production of 13 to 30 days. We used a Reaction Norm model (RN), including THI and DIM as fixed covariates and a Test Day Model (TDM), to estimate the genetic (co)variance components. The heritability and genetic correlations estimated with RN and TDM showed a decreased pattern along the scale of THI and DIM, with slight differences between breeds, meaning that there was significant genetic variability in the animal’s ability to react to different levels of THI, which is not constant throughout the DIM, showing the existence of genotype-environment interaction. The breeding values (BV) of all animals for each level of THI and DIM were subject to a principal component analysis, and the results showed that 89 to 98% of the variance between the BV was explained by the two first eigenvalues. The standardized BV were weighted with the corresponding eigenvector coefficients to construct an index that showed, in a single indicator, the most complete expression of the existing genetic variability in the animals’ ability to produce fpy along the trajectories of THI and DIM. This new option will make it easier to select animals which are more productive, and with better adaptability to heat stress, as well as enabling us to exploit genetic variations in the form of the response to heat stress to be adapted to different production systems.

AN ANALYSIS OF THE RESPONSE OF NINE POTATO GENOTYPES TO FIVE PRAIRIE ENVIRONMENTS

1988 ◽  
Vol 68 (4) ◽  
pp. 1219-1228 ◽  
Author(s):  
D. R. LYNCH ◽  
G. C. KOZUB
Keyword(s):  
Principal Component Analysis ◽  
Specific Gravity ◽  
Current System ◽  
Principal Component ◽  
Component Analysis ◽  
Russet Burbank ◽  
Environment Interaction ◽  
Yield Traits ◽  
Marketable Yield ◽  
Vine Maturity

A study of the response of the tuber and vine traits of nine genotypes (A68710–5, Acadia Russet, F74123, Min9632, Neb71.72, Norchip, Norland, Russet Burbank, and W848) to five Prairie environments (Brooks and Edmonton, Alberta; Carman and Morden, Manitoba; Outlook, Saskatchewan) over a 3-yr period was undertaken to rationalize: (1) the location of Prairie trial sites and (2) the current system of early generation selection at an irrigated site for cultivar development for both dryland and irrigated areas in the Prairie provinces. Location × genotype interactions were significant for marketable yield traits, (P < 0.01), marketable tuber number (P < 0.01), average tuber weight (P < 0.05) and vine maturity (P < 0.05). The cause of these interactions was studied by joint regression, cluster, and principal component analysis. As expected, dryland and irrigated locations were grouped together. For marketable yield, both cluster and principal component analysis indicated that Neb71.72 and Russet Burbank formed one group and the remaining seven genotypes another. For the other tuber and vine traits, the regression approach and cluster analysis were less useful. Broad-sense heritabilities were low for yield traits and high for vine maturity, specific gravity, and chip fry color. Although the number of genotypes in the study was small, the data suggest that a moderate selection pressure for yield, with more severe selection for vine maturity, specific gravity, and chip score under irrigated conditions, should not eliminate clones adapted to the dryland areas of the Prairies. The results of this study also indicate that the two Manitoba sites as well as the two irrigated sites provide essentially the same information.Key words: Genotype-environment interaction, yield traits, quality traits

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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