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Research Article Open access CC BY 4.0

Genetic Variability Analysis for Yield and Its Attributing Traits in Rice (Oryza Sativa L.) under Phosphorus-sufficient and Deficient Field Conditions

S. Vishnupriya, Suvendu Kumar Roy, Shubhrajyoti Sen, Avijit Kundu, Biplab Mitra, Dibyendu Mukhopadhyay, Naderla Umamaheswar

Asian Journal of Soil Science and Plant Nutrition · pp. 44–55 · Published 1 Apr 2024

10.9734/ajsspn/2024/v10i2259

Abstract

Aim: The present study aims to identify phosphorus deficiency tolerant rice genotypes under both phosphorus-sufficient and deficient conditions. Materials and Methods: Two kinds of fields (high and low phosphorus content) were selected based on their soil phosphorus availability. Hundred diverse rice germplasm was collected and planted in an augmented design along with four local checks namely, Swarna sub-1, MTU 1153, MTU 7029 and Uttar Sona. The data was recorded for 14 traits and subjected to different types of variability analysis. Place and Season of Study: The experiment took place at instructional Farm of Uttar Banga Krishi Vishwavidyalaya, Cooch Behar, West Bengal, India during the Kharif season of 2021. Results: The variability analysis revealed that phosphorus uptake showed a high genotypic coefficient of variation (GCV) under phosphorus-deficient condition and high phenotypic coefficient of variation (PCV) under both conditions. Grain yield showed high GCV and PCV under both the phosphorus conditions. Heritability was moderate whereas high Genetic advance as percentage of mean was observed under both the conditions for both phosphorus uptake and grain yield. Strong positive correlations were observed between days to flowering and various yield-related traits under both the conditions. Positive correlation was observed between phosphorus uptake and grain yield under phosphorus-sufficient condition, but a weaker correlation under phosphorus-deficient condition.

Correlation heritability phosphorus variability rice

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Cited by 1

Genetic Variability Studies for Yield and its Attributing Traits in Rice F4 Mapping Population (Oryza sativa L.)

G. Niharika, M. B. Kalyani, V. Hemalatha · Journal of Experimental Agriculture International · 2024

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