ArticleBioMed research international2015
Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativa L.) Genotypes Based on Quantitative Traits.
Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Dissecting Yield Architecture and Trait Interactions in Rice Using Integrative Multivariate Selection Index and Phenotypic Similarity Analysis.Plants (Basel, Switzerland) · 2026Article
- Integrated multi-omics analysis reveals a lipid-redox regulatory network underlying drought tolerance and yield stability in rice.BMC plant biology · 2026Article
- Dissecting the genetic variation of haploid frailty in maize for enhanced doubled haploid breeding.Frontiers in plant science · 2025Article
- Phenotypic plasticity of bread wheat contributes to yield reliability under heat and drought stress.PloS one · 2025Article
- Upland rice genomic signatures of adaptation to drought resistance and navigation to molecular design breeding.Plant biotechnology journal · 2024Article
- Genetic variation among pumpkin landraces based on seed qualities and molecular markers.Molecular biology reports · 2022Article
- Genetic and molecular factors in determining grain number per panicle of rice.Frontiers in plant science · 2022Review
- High-throughput sequencing-based analysis of the composition and diversity of endophytic bacterial community in seeds of upland rice.Archives of microbiology · 2021Article
- Spectroscopic determination of leaf chlorophyll content and color for genetic selection onPlant methods · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Upland rice is important for sustainable crop production to meet future food demands. The expansion in area of irrigated rice faces limitations due to water scarcity resulting from climate change. Therefore, this research aimed to identify potential genotypes and suitable traits of upland rice germplasm for breeding programmes. Forty-three genotypes were evaluated in a randomised complete block design with three replications. All genotypes exhibited a wide and significant variation for 22 traits. The highest phenotypic and genotypic coefficient of variation was recorded for the number of filled grains/panicle and yields/plant (g). The highest heritability was found for photosynthetic rate, transpiration rate, stomatal conductance, intercellular CO₂, and number of filled grains/panicle and yields/plant (g). Cluster analysis based on 22 traits grouped the 43 rice genotypes into five clusters. Cluster II was the largest and consisted of 20 genotypes mostly originating from the Philippines. The first four principle components of 22 traits accounted for about 72% of the total variation and indicated a wide variation among the genotypes. The selected best trait of the number of filled grains/panicle and yields/plant (g), which showed high heritability and high genetic advance, could be used as a selection criterion for hybridisation programmes in the future.
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