Scinovex
article Open Access

Study of genetic diversity for yield and yield contributing traits in rice (Oryza sativa L.)

International Journal of Chemical Studies · 2021 · Vol. 9(2) · pp. 463–466
Prerna ChouhanMadhuri SinghSunil Kumar NairSandeep Bhandarkar

Abstract

Genetic diversity analysis through cluster were performed in selected 96 aromatic rice genotypes inclusive six checks and were distributed into 15 clusters for 16 quantitative yield related characters. In this, there were 2 genotypes in cluster I, 11 in cluster II, 8 in cluster III, 5 in cluster IV, 7 in cluster V, 12 in cluster VI, 5 in cluster VII, 8 in cluster VIII, 8 in cluster IX, 6 in cluster X, 2 in cluster XI, 3 in cluster XII, 6 in cluster XIII, 7 in cluster XIV, 6 in cluster XV. Cluster XIII showed highest mean performance for grain yield per plant i.e 18.42 followed by cluster VII i.e 12.47. Hence, the genotypesshowing high mean performance should be inter-crossed from diverse cluster which will be helpful to produce better recombinations whose genetic variability is high.

Rice Cultivation and Yield ImprovementAgricultural Systems and PracticesGABA and Rice ResearchCluster (spacecraft)Oryza sativaGenetic diversityYield (engineering)Grain yieldBiologyHorticultureGeneticsPhysicsComputer science
Citations
0
FWCI
0.00
field-weighted impact
References
2
Percentile
13%
vs. same field & year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.