Skip to content
Research Article Open access CC BY 4.0

Yield Adaptability and Stability of Grain Sorghum Genotypes across Different Environments in Egypt using AMMI and GGE-biplot Models

A. M. M. Al-Naggar, R. M. Abd El-Salam, M. R. Asran, Walaa Y. S. Yaseen

Annual Research & Review in Biology · pp. 1–16 · Published 2 Feb 2018

10.9734/ARRB/2018/39491

Abstract

Presence of G×E interaction reduces the correlation between genotypic and phenotypic parameters and complicates progress of selection. Among several methods proposed for evaluation of the GE interaction, the AMMI and GGE-biplot are the most informative models. The objective of this study was to estimate the G×E interaction in sorghum parental lines and to identify sorghum B-lines of stability and adaptability across different environments using the AMMI and GGE-biplot models. Six environments with 25 sorghum B-lines were conducted at two locations in Egypt (Giza and Shandaweel) in two years and two planting dates in one location (Giza). A randomized complete block design was used in each environment (yield trial) with three replications. The AMMI analysis of variance indicated that the genotype (G), environment (E) and GE interaction had significant influence (p≤0.01) on sorghum grain yield. Based on AMMI model, BTX TSC-20 followed by ICSB-1808 showed both high yielding and stability across the test environments. However, ICSB-8001 (G11) and BTX-407 (G21), showed maximum stability, but with moderate grain yield. Based on GGE-biplot method, BTX TSC-20 (G25) was the winning genotype for the mega-environment which consists of E1 and E3, ICSB-14 (G3) for the mega-environment (E2 and E4), while BTX 2-1 (G20) for E5 mega-environment, ICSB-88003 (G12) and ICSB-70 (G6) for the mega-environment E6. These genotypes are the most adapted to the respective environments.

Sorghum bicolor L. G × E interaction mega environment grain yield

Cited by 19

Harnessing Sorghum Landraces to Breed High-Yielding, Grain Mold-Tolerant Cultivars With High Protein for Drought-Prone Environments

Mallela Venkata Nagesh Kumar, Vittal Ramya, Mahalingam Govindaraj · Frontiers in Plant Science · 2021

Stability and adaptability of grain yield in quinoa genotypes in four locations of Iran

Vahid Jokarfard, Babak Rabiei, Ebrahim Souri Laki · Frontiers in Plant Science · 2024

GGE biplot vs. AMMI analysis of promising sorghum lines in the warm-temperate regions of Iran

Azim Khazaei, Farid Golzardi, Masoud Torabi · Journal of Crop Improvement · 2022

Identification of mega‐environments for grain sorghum in Brazil using GGE biplot methodology

Karla Jorge da Silva, Paulo Eduardo Teodoro, Michele Jorge da Silva · Agronomy Journal · 2021

Genotype by environment interaction of newly developed sorghum lines in Namibia

Maliata Athon Wanga, Hussein Shimelis, Jacob Mashilo · Euphytica · 2022

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

19

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.