DULBARI DULBARI
Department of Food Crop Production, Politeknik Negeri Lampung. Jl. Soekarno Hatta No. 10, Bandar Lampung 35144, Lampung, Indonesia

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Pathway analysis of yield components in several New Plant Type (NPT) rice genotypes DULBARI DULBARI; DESTIEKA AHYUNI; FAJAR ROCHMAN; RIZKY RAHMADI; PRIYADI PRIYADI; SUBARJO SUBARJO; LINA BUDIARTI; HIDAYAT SAPUTRA; MOH. HARIS IMRON S. JAYA
Biodiversitas Journal of Biological Diversity Vol. 26 No. 2 (2025)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d260225

Abstract

Abstract. Dulbari, Ahyuni D, Rochman F, Rahmadi R, Priyadi, Subarjo, Budiarti L, Saputra H, Jaya MHIS. 2025. Pathway analysis of yield components in several New Plant Type (NPT) rice genotypes. Biodiversitas 26: 770-777. Rice is essential for global nutrition, especially in Asia, with increasing production needed to meet rising food demands from population growth. Efforts to increase rice production are carried out through plant breeding programs. Grain weight per panicle is one of the yield components in rice plants that significantly determines production. Despite its importance, its influence in the selection process is not independent, as it is closely associated with other traits, either directly or indirectly. Therefore, this study aimed to determine the relationship between yield components and their direct and indirect effects on grain weight per panicle of several new plant types (NPT) of rice varieties grown in 2 different locations, namely Tanggamus and Lampung Timur. The study procedures were conducted using a Randomized Complete Block Design with 12 genotypes and 3 replications. Genotypes consisted of 10 NRTs, including IPB 3S, IPB 4S, IPB 5R, IPB6R, IPB117-F-7-2-1, IPB 117-F-7-7-1, IPB 117-F-14-4-1, IPB 117-F-15-4-1, IPB 117-F-20-1-1, IPB 117-F-80-2-1. Meanwhile, the 2 control varieties included Ciliwung and Ciherang. The results showed that rice grain weight per panicle significantly correlated with the number of productive tillers, panicle length, number of filled grains per panicle, and percentage of filled grains per panicle. Productive tiller number, panicle length, number of filled grains per panicle, and percentage of filled grains per panicle directly and indirectly affected grain weight per panicle. In addition, the number of filled grains per panicle directly influenced 0.49%.
Multivariate analysis of yield and lodging traits in rice genotypes DULBARI DULBARI; DESI MAULIDA; DESTIEKA AHYUNI; SUBARJO SUBARJO; RIZKY RAHMADI; MOH HARIS IMRON S. JAYA
Biodiversitas Journal of Biological Diversity Vol. 27 No. 7 (2026)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d270710

Abstract

Abstract. Dulbari, Maulida D, Ahyuni D, Subarjo, Rahmadi R, Jaya MHIS. 2026. Multivariate analysis of yield and lodging traits in rice genotypes. Biodiversitas 27 (7): d270710. https://doi.org/10.13057/biodiv/d270710. Lodging is a major constraint affecting rice yield stability by reducing photosynthetic efficiency, increasing loss yield, and lowering grain quality. Integrating yield and lodging traits is therefore essential for effective multi-trait selection in rice breeding programs. This study aimed to evaluate phenotypic diversity, identify trait relationships, and determine potential parental genotypes using a multivariate approach. The experiment was conducted using a randomized complete block design with three replications and 20 rice genotypes. Quantitative traits were analyzed using Principal Component Analysis (PCA) after Z-score standardization. Hierarchical clustering and heatmap visualization were performed using Euclidean distance and Ward's method, while the integration of quantitative and qualitative traits was carried out using the Gower coefficient. The first two principal components explained 50.3% of the total variation (PC1 = 29.8%; PC2 = 20.5%). PC1 was associated with biomass-related traits, while PC2 represented structural traits and yield-loss indicators. Cluster analysis grouped genotypes into four distinct phenotypic clusters. Genotypes G12, G7, G8, and G15 were associated with yield-related traits, while G19, G6, and G13 were linked to structural traits related to plant stability. These findings indicate that multivariate analysis can effectively identify phenotypic diversity and support parent selection in rice breeding. However, direct measurements of lodging are required for further validation.