Results 61 to 70 of about 2,756 (197)

Comparing Biplot Multivariate Analyses with Eberhart and Russell’ method for genotype x environment interaction [PDF]

open access: yesCrop Breeding and Applied Biotechnology, 2009
The aim of this study was to compare the multivariate methods GGE (Genotype main effects and Genotype xEnvironment interaction) and AMMI (Additive Main effects and Multiplicative Interaction) with the method of Eberhart andRussell for interpreting ...
Heraldo Namorato   +5 more
doaj  

Quantitative Indices for Drought Tolerance in Rice: Leveraging Genetic Resources for Climate‐Resilient Breeding

open access: yesPlant-Environment Interactions, Volume 7, Issue 3, June 2026.
ABSTRACT Climate change‐induced drought is a major threat to global rice production, underscoring the urgent need for drought‐resilient cultivars. This study aimed to identify drought‐tolerant, high‐yielding rice genotypes using quantitative yield‐based indices and multivariate analyses.
Alireza Tarang   +1 more
wiley   +1 more source

Numerical and Graphical Measures to Facilitate the Interpretation of GGE Biplots

open access: yesCrop Science, 2007
The genotype + genotype‐by‐environment (GGE) biplot technique has been widely used in the recent years for the analysis of multienvironment trials, as is evident by the large number of articles published where there is a reference to this technique.
Laffont, Jean-Louis   +2 more
openaire   +2 more sources

Stability analysis for yield and yield components through AMMI and GGE biplot techniques in germplasm of finger millet (Eleusine coracana)

open access: yesThe Indian Journal of Agricultural Sciences
An experiment was conducted during the winter (rabi) season of 2022–23 and 2023–24 to evaluate the stability and adaptability of 35 diverse finger millet (Eleusine coracana L. Gaertn.) germplasm across three environments, namely Odisha (E1), Bihar (E2),
PRATIK MANNA   +6 more
doaj   +1 more source

EVALUATION OF WHEAT GENOTYPE STABILITY THROUGH GGE BIPLOT ANALYSIS

open access: yesGreen transformation of agribusiness : innovation as the key to sustainable agriculture
Under pronounced climate changes, identifying wheat genotypes with high yield potential and high stability across environments is becoming essential. A multi-environment trial (MET) with 15 wheat genotypes was conducted across three localities (Pančevo, Kragujevac, and Kruševac) during two growing seasons (2022/2023 and 2023/2024).
Predrag Brković   +6 more
openaire   +3 more sources

Adaptability and Stability Analyses of Root Yield and Micronutrient Concentrations in Sweetpotato (Ipomoea batatas [L.] Lam.) Genotypes

open access: yesPlant-Environment Interactions, Volume 7, Issue 3, June 2026.
ABSTRACT High yielding and micronutrient dense sweetpotato cultivars could contribute to alleviating micronutrient deficiency, which is a prevalent problem in developing countries. Developing these improved cultivars involves selection across diverse environments, which requires an understanding of genotype × environment interaction (GEI).
Nomusa Chizhande   +5 more
wiley   +1 more source

Application of BLUP-GGE Biplot in Mega-Environment Analysis and Test Location Evaluation of Wheat Regional Trials in the Huanghuai Winter Wheat Region in China

open access: yesAgronomy
The accurate delineation of mega-environments (MEs) and the rigorous evaluation of test locations are critical for optimizing regional variety trial schemes, particularly when addressing unbalanced datasets from multi-year, multi-location wheat (Triticum
Lihua Liu   +10 more
doaj   +1 more source

Yield, stability, and plasticity of Arabica coffee genotypes under contrasting pruning systems

open access: yesAgronomy Journal, Volume 118, Issue 3, May/June 2026.
Abstract Coffee yield instability caused by biennial bearing causes coffee yield instability, reducing production predictability and farm income. Biennial drastic pruning (Zero Crop), which alternates harvest and no‐harvest years, has been proposed to reduce this instability, but its benefits depend on genotype performance under contrasting management.
Weverton Pereira Rodrigues   +5 more
wiley   +1 more source

Sunflower mega-environments in Serbia revealed by GGE biplot analysis [PDF]

open access: yesRatarstvo i povrtarstvo, 2013
Sunflower mega-environment analysis was conducted for the grain yield data of 20 hybrids and 19 test locations during 2006, and 20 hybrids and 16 test locations during 2007. Combined data included 15 hybrids and 9 test locations common for both years and it was analyzed as balanced experiment.
Balalić, Igor   +5 more
openaire   +4 more sources

GGE biplot and AMMI analysis of advanced breeding lines of linseed

open access: yesElectronic Journal of Plant Breeding
Ten advanced breeding lines of linseed were assessed in four environments viz; two locations each during 2016-17 and 2017-18. Analysis of variance exhibited a significant variation for genotype, environment and G X E effects for all the traits. The GGE biplot analysis showed that genotypes LCP 87, LC 2063, LDCP 13 and M 6 are suitable for seed yield ...
null Naresh Kumar, null Vijay Kumar
openaire   +2 more sources

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