Comparative analysis of stability models for identifying rice inter-subspecific breeding lines adapted to different temperature regimes for exploitation in hybrid breeding.
Clicks: 102
ID: 281677
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
102 views
36 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #65 of 73 articles by views in BMC plant biology
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Rice is a staple food crop in Tamil Nadu, cultivated in diverse ecosystems ranging from river delta plains to the Nilgiris hill valleys. The alarming climate change events are predicted to affect rice crop productivity across the globe. In this study, 76 newly developed breeding lines from inter-subspecific crosses, two commercial restorers, and checks were evaluated in four different temperature regimes of Tamil Nadu. Various stability methods were used to analyze genotype-environment interactions to identify lines with stable performance even under various temperature conditions. The stability methods applied in the study were classified under three models viz., the Uni-trait Stability Selection Model (Model - 1), the Uni-trait Mean Performance Stability Selection Model (Model - 2), and the Multi-trait Mean Performance Stability Selection Model (Model - 3). These models are primarily based on Additive Main-effects and Multiplicative Interaction (AMMI), Best Linear Unbiased Prediction (BLUP), and Genotype × Environment (G × E) statistical approaches. Further, molecular markers linked to the Rf3 and Rf4 fertility restorer genes were used to investigate their application in either three-line or two-line hybrid breeding systems. The analysis results revealed a significant genotype-environment interaction in the current study, with temperature being a key factor influencing genotype variation across environments. Various stability models were assessed for efficiency based on correlation and genetic gain results, which indicated that integrating yield performance with stability indices such as GGE (17.51), RPGV (17.51), HMGV (17.51), and WAASBY (166.32) led to higher genetic gain. Furthermore, combining all the models helps to identify lines that are both high-performing and also stable, more effectively than a single model approach. The integrated models identified breeding lines G- 17, G- 25, G- 30, G- 48, and G- 68 as potential candidates for use as restorers in developing hybrids suited to varied-temperature environments, with molecular analysis confirming their use in three-line breeding. Additionally, lines G- 39 and G- 50 are promising candidates for developing climate-smart two-line hybrids with enhanced heterosis.
| Reference Key |
john2025comparative
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | John, Bonipas Antony; Ramaswamy, Saraswathi; Swaminathan, Manonmani; Dharmalingam, Kumaresan; Mahalingam, Gunasekaran; Raman, Pushpa; Jegadeesan, Ramalingam |
| Journal | BMC plant biology |
| Year | 2025 |
| DOI |
10.1186/s12870-025-06484-z
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.