Outlying observation in stability analysis of genotype: AMMI vs Huehn method

H Sa'diyah, AF Hadi - AIP Conference Proceedings, 2023 - pubs.aip.org
Producing a quality crop that has superior characteristics is one of the important things in
agronomy. An assessment is needed to see if the superiority is stable in various …

Applying the generalized additive main effects and multiplicative interaction model to analysis of maize genotypes resistant to grey leaf spot

CRL Acorsi, TA Guedes, MMD Coan… - The Journal of …, 2017 - cambridge.org
Analysing the stability and adaptation of cultivars to different environments is always
necessary before recommending them for planting on large areas. Additive main effects and …

[PDF][PDF] Multiple imputation MIGAMMI algorithm

PM Amoêdo, SMS Piedade, CTS Dias… - Brazilian J …, 2022 - scholar.archive.org
Missing data are common in multi-environmental experiments however sophisticated they
are. Thus, it is essential to use appropriate methods of analysis to reduce the impact …

[PDF][PDF] Handling outlier in two-ways table by robust alternating regression of FANOVA models: towards robust AMMI models

AF Hadi - Jurnal Ilmu Dasar, 2011 - academia.edu
ABSTRACT AMMI (Additive Main Effect Multiplicative Interaction) model for interactions in
two-way table provide the major mean for studying stability and adaptability through …

[PDF][PDF] On generalization of additive main effect and multiplicative interaction (AMMI) models: an approach of row column interaction models for counting data

H AF - 2017 - repository.unej.ac.id
Additive Main Effect and Multiplicative Interaction (AMMI) model was commonly used to
analyze Genotype Environment× Interaction with normal response variables, now it had …

On The Development of Statistical Modeling in Plant Breeding: An Approach of Row-Column Interaction Models (RCIM) For Generalized AMMI Models with Deviance …

AF Hadi, H Sa'diyah - Agriculture and Agricultural Science Procedia, 2016 - Elsevier
Generalized AMMI (GAMMI) model has been widely used to model the Genotype×
Environment Interaction (GEI) with categorical (or in general, non-normal) response …

Algoritmo de imputa¸ c˜ ao m´ ultipla MIGAMMI

PM AMOÊDO, SM de Stefano PIEDADE… - Brazilian Journal of …, 2022 - ftpnucleo.ufla.br
Missing data are common in multi-environmental experiments however sophisticated they
are. Thus, it is essential to use appropriate methods of analysis to reduce the impact …

[PDF][PDF] A Generalized AMMI Model to Study G× E Interaction for Cobs Count in Maize

B Mishra, BK Hooda - 2022 - isas.org.in
Additive main effects and multiplicative interaction (AMMI) models have been used to
analyze genotype-by-environment interactions (GEI). Applicability of AMMI model depends …

[PDF][PDF] Row-column interaction models for zeroinflated poisson count data in agricultural trial

AF Hadi, H Sa'diyah - Proc. ICCS-13, Bogor, Indonesia, 2014 - researchgate.net
Many zero observations makes some difficulties and fatal consequence in Poisson modeling
and its interpretation. We consider to facilitates the analysis of two-way tables of count with …

PENANGANAN OVERDISPERSI PADA PEMODELAN DATA CACAHAN MENGGUNAKAN REGRESI BINOMIAL NEGATIF PADA RCIM (ROW COLUMN …

U Susilowati - 2015 - repository.unej.ac.id
Regresi Poisson adalah model yang biasa digunakan untuk menganalisis hubungan antara
variabel Y dan X pada data cacahan. Data cacahan seringkali mengalami nilai varians yang …