A comprehensive multivariate approach for GxE interaction analysis in early maturing rice varieties

Front Plant Sci. 2024 Oct 1:15:1462981. doi: 10.3389/fpls.2024.1462981. eCollection 2024.

Abstract

The genotype evaluation process requires analysis of GxE interactions to ascertain the responsiveness of a genotype to various environments, including the development of early maturing rice. However, the concept of interaction is relatively specific to grain yield. In contrast, grain yield is highly polygenic, so assessment should be carried out with multivariate approaches. Therefore, multivariate assessment in evaluating GxE interactions should be developed, especially for early maturing rice genotypes. The study aimed to develop a comprehensive multivariate approach to improve the comprehensiveness and responsiveness of GxE interaction analysis. The study was conducted in Bone and Soppeng districts, South Sulawesi, Indonesia, in two seasons. The study used a randomized complete block design, where replications were nested across two seasons and locations. Two check varieties and five early maturing varieties were replicated three times in each environment. Based on this study, a new approach to GxE interaction analysis based on multiple regression index analysis, BLUP analysis, factor analysis, and path analysis was considered adequate, especially for evaluating early maturing rice. This approach combined days to harvest, biological yield, and grain yield in multiple linear regression with weighting based on the combination of all analyses. The effectiveness of the GxE interaction assessment was reflected by high coefficient of determination (R2) and gradient (b) values above 0.8 and 0.9, respectively. Inpari 13 (R2 = 0.9; b=1.05), Cakrabuana (R2 = 0.98; b=0.99), and Padjajaran (R2 = 0.95; b=1.07) also have good grain yield with days to harvesting consideration, namely 7.83 ton ha-1, 98.12 days; 7.37 ton ha-1, 95.52 days; and 7.29 ton ha-1, 97.23 days, respectively. Therefore, this index approach can be recommended in GxE interaction analysis to evaluate early maturing rice genotypes. Furthermore, Inpari 13, Cakrabuana, and Padjajaran are recommended as adaptive early maturing varieties.

Keywords: BLUP; GxE analysis; early-maturity rice; index regression; oryza sativa.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Researchers Supporting Project number (RSPD2024R751), King Saud University, Riyadh, Saudi Arabia. This study also fund by The International Cooperation and Development Fund (ICDF) Taiwan in 2022-2023 for first stage study. For advance study, this funding is cover by the International Collaboration Research (I-CORE) Program Equity World Class University Indonesia Endowment Fund for Agency (WCU LPDP) 2023-2024 scheme (grant number: 04966/UN4.22/PT.01.03/2023) among Hasanuddin University, International Cooperation and Development Fund (ICDF) Taiwan, and International Rice Research Institute.