Results 191 to 200 of about 7,029 (229)

Carbon budget of common urban tree species in an arid city based on life cycle assessment. [PDF]

PLoS One
Zhang R, Wang L, Tian X, Song Y.
europepmc   +1 more source

Commentary on the GGE's Guiding Principles, September 2020

, 2020
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Disruption of functional gradients in genetic generalized epilepsy and its clinical relevance: evidence from high-density EEG

Zhang J, Rigoni I, Van De Ville D, Vulliémoz S, Roehri N.   +4 more
europepmc   +1 more source

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GLUT1, GGE, and the resilient fallacy of refuted epilepsy genes

Seizure: the Journal of the British Epilepsy Association, 2023
Jillian L Mckee, Ingo Helbig
exaly   +3 more sources

Weighted Estimation of AMMI and GGE Models

Journal of Agricultural, Biological and Environmental Statistics, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hadasch, S., Forkman, J., Malik, W. A., Piepho, Hans-Peter   +3 more
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Parametric bootstrap methods for testing multiplicative terms in GGE and AMMI models [PDF]

Biometrics, 2014
SummaryThe genotype main effects and genotype‐by‐environment interaction effects (GGE) model and the additive main effects and multiplicative interaction (AMMI) model are two common models for analysis of genotype‐by‐environment data. These models are frequently used by agronomists, plant breeders, geneticists and statisticians for analysis of multi ...
Johannes Forkman, Hans-Peter Piepho
exaly   +3 more sources

Cross‐Validation in AMMI and GGE Models: A Comparison of Methods

Crop Science, 2017
In plant breeding, the interaction of genotypes and environments is of major interest for breeders to develop genotypes that are well adapted to target environments. To investigate this interaction, multi‐environmental trials, which are typically laid out as randomized complete block designs (RCBD) or as resolvable incomplete block designs (rIBD ...
Steffen Hadasch, Johannes Forkman, Hans‐Peter Piepho   +2 more
openaire   +1 more source

Soybean Cultivar Evaluation via GGE Biplot Analysis

Journal of New Seeds, 2005
ABSTRACT Multi-environment trials (MET) are an important activity in agriculture to identify superior cultivars for production. Visual evaluation of MET data via GGEbiplot software makes the cultivar recommendation easy. Our objectives were to evaluate performance of 100 soybean [Glycine max (L.) Merr.] cultivars belonging to five maturity groups (MG ...
Meiqin Zhang, Manjit S. Kang, Paul F. Reese, Harbans L. Bhardwaj   +3 more
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Statistical Analysis of Yield Trials by AMMI and GGE

Crop Science, 2006
The Additive Main effects and Multiplicative Interaction (AMMI) model, Genotype main effects and Genotype × Environment interaction (GGE) model, and Principal Components Analysis (PCA) are singular value decomposition (SVD) based statistical analyses often applied to yield‐trial data.
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Multivariate outliers detection on GGE Biplot

AIP Conference Proceedings, 2022
A. F. Hadi, D. Anggraeni, H. Sadiyah, D. B. C. Wicaksono   +3 more
openaire   +1 more source