Selection of adaptable vetch genotypes based on dry matter yield and multi-trait stability index

Vetch, a highly valued herbaceous legume for livestock, was studied in Northern Ethiopia from 2021 to 2023 to analyze genotype by environment interaction (GEI) in multi-environment trials (MET) and identify adaptable vetch genotypes. Combined analysis of variance (ANOVA), AMMI ANOVA and Eberhart and Russell regression for forage yield were analyzed. GGE, AMMI1 and AMMI2 bi-plots for forage yield of vetch genotypes were created. Principal Component Analysis (PCA) and correlation network plots were created, along with the analysis of multi-trait stability index (MTSI) for agronomic traits. AMMI stability measures, Best Linear Unbiased Prediction (BLUP) based indexes; parametric and non-parametric statistics were computed using R-statistical software. AMMI ANOVA revealed significant effects of genotype (G) (28.35% SS), environment (E) (30.29% SS), and GEI (17.48% SS) for the dry matter yield. The likelihood ratio test (LRT) revealed significant genotypic effects for all agronomic traits except days to emergence and survival rate, while the LRT for GEI was significant for all traits except the number of branches. AMMI and GGE bi-plots selected G3 and G4 as the most adaptable genotypes. Stability parameters: ASTAB, ASI, ASV, AVAMGE, DA, FA, Shukla, Ecovalence, Wi_u, Pi_u, S2 N3, and MASI identified G4 and G1 as the most stability genotypes. SIPC, DZ, EV, MASV, Wi_g, HMGV, S3, S6, R 2 and ZA ranked G4 and G3 as most stable genotypes. HMRPGV, HPGV, WAAS, WAASB, Wi_f, Pi_a, Pi_f and GAI also ranked G3 and G4 most stable genotypes. The average rank sum (ARS) of the stability statistics groups was considered. AMMI-based stability statistics identified G4 and G1 as the top two stable. The WAAS index, BLUP-based, and non-parametric statistics identified G3 and G4 as the most stable genotypes. In contrast, parametric statistics ranked G4 first and both G1 and G3 second in stability. Overall, G4 and G3 were identified as the most stable genotypes. The MTSI also selected G4 (MTSI = 1.65) and G3 (MTSI = 1.79), are recommended for further verification and demonstration before being recommended for wider forage production in Tigray.

Authors

Institutions

Publication Details

Journal
Discover Agriculture
Published
2026-08-20
DOI
https://doi.org/10.1007/s44279-026-00738-6
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Selection of adaptable vetch genotypes based on dry matter yield and multi-trait stability index

Solomon Gebreyowhans, Shishay Markos, Teweldemedhn Mekonnen, Kibrom Gebremeskel et al.
Discover Agriculture
Genetics and Plant Breeding
article

Selection of adaptable vetch genotypes based on dry matter yield and multi-trait stability index

Solomon Gebreyowhans, Shishay Markos, Teweldemedhn Mekonnen, Kibrom Gebremeskel, Mengistu Regassa
article en

Abstract

Vetch, a highly valued herbaceous legume for livestock, was studied in Northern Ethiopia from 2021 to 2023 to analyze genotype by environment interaction (GEI) in multi-environment trials (MET) and identify adaptable vetch genotypes. Combined analysis of variance (ANOVA), AMMI ANOVA and Eberhart and Russell regression for forage yield were analyzed. GGE, AMMI1 and AMMI2 bi-plots for forage yield of vetch genotypes were created. Principal Component Analysis (PCA) and correlation network plots were created, along with the analysis of multi-trait stability index (MTSI) for agronomic traits. AMMI stability measures, Best Linear Unbiased Prediction (BLUP) based indexes; parametric and non-parametric statistics were computed using R-statistical software. AMMI ANOVA revealed significant effects of genotype (G) (28.35% SS), environment (E) (30.29% SS), and GEI (17.48% SS) for the dry matter yield. The likelihood ratio test (LRT) revealed significant genotypic effects for all agronomic traits except days to emergence and survival rate, while the LRT for GEI was significant for all traits except the number of branches. AMMI and GGE bi-plots selected G3 and G4 as the most adaptable genotypes. Stability parameters: ASTAB, ASI, ASV, AVAMGE, DA, FA, Shukla, Ecovalence, Wi_u, Pi_u, S2 N3, and MASI identified G4 and G1 as the most stability genotypes. SIPC, DZ, EV, MASV, Wi_g, HMGV, S3, S6, R 2 and ZA ranked G4 and G3 as most stable genotypes. HMRPGV, HPGV, WAAS, WAASB, Wi_f, Pi_a, Pi_f and GAI also ranked G3 and G4 most stable genotypes. The average rank sum (ARS) of the stability statistics groups was considered. AMMI-based stability statistics identified G4 and G1 as the top two stable. The WAAS index, BLUP-based, and non-parametric statistics identified G3 and G4 as the most stable genotypes. In contrast, parametric statistics ranked G4 first and both G1 and G3 second in stability. Overall, G4 and G3 were identified as the most stable genotypes. The MTSI also selected G4 (MTSI = 1.65) and G3 (MTSI = 1.79), are recommended for further verification and demonstration before being recommended for wider forage production in Tigray.

Discover AgricultureVol. 4(1)
Ethiopian Institute of Agricultural Research (ET), Mekelle University (ET)
Life in Land
Openalex Percentile: Top 12%
Genetics and Plant Breeding
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.