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

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dc.creatorAnshori, Muhammad Fuad
dc.creatorMusa, Yunus
dc.creatorFarid, Muh
dc.creatorJayadi, Muh
dc.creatorPadjung, Rusnadi
dc.creatorKaimuddin, Kaimuddin
dc.creatorHuang, Yi Cheng
dc.creatorCasimero, Madonna
dc.creatorBogayong, Iris
dc.creatorSuwarno, Willy Bayuardi
dc.creatorSembiring, Hasil
dc.creatorPurwoko, Bambang Sapta
dc.creatorNur, Amin
dc.creatorWahyuni, Wahyuni
dc.creatorWasonga, Daniel O.
dc.creatorSeleiman, Mahmoud F.
dc.date2024-10-01
dc.date2024-11-21T07:04:06Z
dc.date2024-11-21T07:04:06Z
dc.date.accessioned2026-06-27T04:14:40Z
dc.descriptionThe 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.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/160029
dc.identifier.urihttp://hdl.handle.net/123456789/26346
dc.languageen
dc.publisherFrontiers Media
dc.rightsOpen Access
dc.sourceAnshori, M.F., Yunus, M., Muh, F., Muh, J., Rusnadi, P., Kaimuddin, K., Huang, Y.C., Casimero, M., Bogayong, I., Suwarno, W.B., Sembiring, H., Purwoko, B.S., Nur, A., Wahyuni, W., Wasonga, D.O. and Seleiman, M.F. 2024. "A comprehensive multivariate approach for GxE interaction analysis in early maturing rice varieties." Frontiers in Plant Science 15 (2024): 1462981 [12 p.].
dc.subjectearly maturation
dc.subjectgenotypes
dc.subjectmultivariate analysis
dc.subjectvarieties
dc.subjectrice
dc.titleA comprehensive multivariate approach for GxE interaction analysis in early maturing rice varieties
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)