Zobrazit v EDS

Integrating multi-trait and multi-index approaches for identifying drought tolerant tropical maize genotypes.

Uloženo v:
Podrobná bibliografie
Název: Integrating multi-trait and multi-index approaches for identifying drought tolerant tropical maize genotypes.
Autoři: Azrai, Muhammad, Aqil, Muhammad, Efendi, Roy, Andayani, Nining Nurini, Suwardi, Zainuddin, Bunyamin, Pabendon, Marcia B., Sitaresmi, Trias, Anshori, Muhammad Fuad, Riadi, Muhammad, Yasin, Muhammad, Laurenze, Reynaldi, Bahtiar, Suwarti, Syam, Amiruddin
Zdroj: Frontiers in Sustainable Food Systems; 2025, p1-18, 18p
Témata: DROUGHT tolerance, GENOTYPES, CULTIVARS, RESEARCH methodology, DROUGHTS, CORN, CROP improvement, MULTITRAIT multimethod techniques
Abstrakt: Drought stress is a critical constraint to maize production in tropical regions, impairing growth and reducing yield stability. In this study, a panel of hybrids was assessed under both well-watered and drought-stress conditions using yield-based drought tolerance indices and the Multi-Trait Genotype-Ideotype Distance Index (MGIDI). Thirty-three tropical maize hybrids were evaluated under optimal and water-limited conditions across two locations using a randomized complete block design. Drought stress was imposed 40 days after planting until the milk stage following CIMMYT protocols, and data on morphological, physiological, and yield traits were recorded. The dataset was subjected to multivariate analyses, including Principal Component Analysis and hierarchical clustering, as well as four yield-based drought tolerance indices: Stress Tolerance Index (STI), Stress Susceptibility Index (SSI), Yield Stability Index (YSI), and Harmonic Mean Index (HI). Yield-based drought indices identified six superior hybrids (GE13, GE17, GE21, GE26, GE29, and GE32) characterized by high yield stability and minimal reductions under stress. Multi trait analysis using the MGIDI, which integrated various morpho-physiological traits further highlighted GE13, GE21, and GE32 as consistently close to the ideotype. The overlap between yield-based indices and MGIDI confirms the robustness of these three hybrids, while demonstrating the value of integrating complementary selection tools for precise identification of drought tolerant genotypes. [ABSTRACT FROM AUTHOR]
Copyright of Frontiers in Sustainable Food Systems is the property of Frontiers Media S.A. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
Popis
Abstrakt:Drought stress is a critical constraint to maize production in tropical regions, impairing growth and reducing yield stability. In this study, a panel of hybrids was assessed under both well-watered and drought-stress conditions using yield-based drought tolerance indices and the Multi-Trait Genotype-Ideotype Distance Index (MGIDI). Thirty-three tropical maize hybrids were evaluated under optimal and water-limited conditions across two locations using a randomized complete block design. Drought stress was imposed 40 days after planting until the milk stage following CIMMYT protocols, and data on morphological, physiological, and yield traits were recorded. The dataset was subjected to multivariate analyses, including Principal Component Analysis and hierarchical clustering, as well as four yield-based drought tolerance indices: Stress Tolerance Index (STI), Stress Susceptibility Index (SSI), Yield Stability Index (YSI), and Harmonic Mean Index (HI). Yield-based drought indices identified six superior hybrids (GE13, GE17, GE21, GE26, GE29, and GE32) characterized by high yield stability and minimal reductions under stress. Multi trait analysis using the MGIDI, which integrated various morpho-physiological traits further highlighted GE13, GE21, and GE32 as consistently close to the ideotype. The overlap between yield-based indices and MGIDI confirms the robustness of these three hybrids, while demonstrating the value of integrating complementary selection tools for precise identification of drought tolerant genotypes. [ABSTRACT FROM AUTHOR]
ISSN:2571581X
DOI:10.3389/fsufs.2025.1608307