Claim · model-written summary
PC1 was linked to plant height and harvest index.
- Taxon
- rice
Oryza sativat0 - Outcome
- plant height (PH) and harvest index (HI)e0
- Comparator
- PC1e0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The principal component to be first (PC1) was linked with plant height (PH) and harvest index (HI) in gm”
t0“rice”
Title
Multivariate analysis in rice (Oryza sativa L.) germplasms for yield attributing traits
Satya Prakash; S Sumanth Reddy; Sandeep Chaudhary; et al. Plant Science Today 2023. doi:10.14719/pst.2231
Other claims from this paper (12)
- Observation Rice genotypes varied significantly in assessed traits, indicating genetic diversity.
- Observation Cluster V contained the highest number of genotypes.
- Observation Cluster IV had the highest intra-cluster distance.
- Recommendation The authors suggest the Cluster IV genotypes would be useful for rice improvement.
- Observation Five principal components accounted for 75.11 percent of total variability.
- Observation Days to 50% flowering was the most accurate variability predictor, followed by days to maturity, 1000 seed weight and panicle length.
- Association PC2 was linked to days to flowering and maturity.
- Association PC3 was linked to seed weight and grains per panicle.
- Association PC4 was linked to panicles bearing per plant and biological yield per plant.
- Association PC5 was linked to panicle length and biological yield.
- Observation G.35, G.17, G.30, G.45, and G.46 were identified as promising for short plant height.
- Observation G.60, G.40, G.54, G.55, and G.41 were identified as promising for high yield.