Results 151 to 160 of about 3,391 (192)
Some of the next articles are maybe not open access.

Related searches:

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

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

Bayesian GGE model for heteroscedastic multienvironmental trials

Crop Science, 2022
AbstractThe dissection of genotype × environment interaction (GEI) is a crucial aspect of the final stages of plant breeding pipelines and recommendation of cultivars. Linear‐bilinear models used to analyze this interaction, such as the additive main effects and multiplicative interaction (AMMI) and genotype plus GEI (GGE), often assume homogeneity of ...
Luciano Antonio de Oliveira   +8 more
openaire   +2 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.   +3 more
openaire   +2 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   +2 more
openaire   +1 more source

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.
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   +3 more
openaire   +1 more source

Biotska raznolikost gozdne krajine v GGE Predmeja: Biodiversity of Forest Landscape in GGE Predmeja:

2008
This article represents a practical demonstration for evaluating the biodiversity of the forest landscape by the means of the methodology for the evaluation of the importance of stands for maintenance of biodiversity in forest landscape, for evaluating the share of the dead wood biomass, disturbance regimes after the World War II and some data from the
Černigoj, Vojko, Papež, Jože
openaire   +1 more source

Home - About - Disclaimer - Privacy