Results 191 to 200 of about 8,617 (232)

Integrating AMMI, Bayesian-AMMI, BLUP, and GGE biplot models to improve the identification of high-yielding and stable barley genotypes. [PDF]

open access: yesBMC Plant Biol
Pour-Aboughadareh A   +11 more
europepmc   +1 more source

Influence of public external debt on government health expenditure: A mixed-methods case study of Senegal. [PDF]

open access: yesPLOS Glob Public Health
Federspiel F   +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
Helbig Ingo   +2 more
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.   +3 more
openaire   +2 more sources

Parametric bootstrap methods for testing multiplicative terms in GGE and AMMI models [PDF]

open access: yesBiometrics, 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 ...
Hans-Peter Piepho, Johannes Forkman
exaly   +3 more sources

Evaluation of the performance of sorghum genotypes using GGE biplot

Canadian Journal of Plant Science, 2015
Gasura, E., Setimela, P. S. and Souta, C. M. 2015. Evaluation of the performance of sorghum genotypes using GGE biplot. Can. J. Plant Sci. 95: 1205–1214. In spite of sorghum's drought tolerance, it is largely affected by genotype×environment interaction (GE), making it difficult and expensive to select and recommend new sorghum genotypes for different
Edmore Gasura   +2 more
openaire   +1 more source

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