STUDY ON THE PERFORMANCE OF GROUNDNUT (Arachis hypogea L.) GENOTYPES FOR QUANTITATIVE TRAITS IN ALLAHABAD REGION

Authors

  • Krishna Kumar
  • Prashant Kumar Rai
  • Arvind Kumar
  • Bazil Avinash Singh
  • A. K. Chaurasia

Keywords:

Groundnut, GCV, PCV, heritability, genetic advance, quantitative parameters.

Abstract

Fifteen groundnut genotypes (including check) obtained from ICRISAT, Hyderabad evaluated for qualitative parameters. The crop was sown during kharif 2013 at field experimentation center of the Department of Genetics and Plant Breeding, Faculty of Agriculture, SHIATS, Allahabad Uttar Pradesh. The experiment was laid out in Randomized Block Design with three replications, 14 quantitative parameters was studied. The components of variance revealed that the phenotypic coefficient of variation (PCV) were higher than genotypic coefficient of variation (GCV) for all parameters. The analysis of variance revealed the prevalence of significant different among the genotypes for all studied parameters. Based on per se performance genotypes ICG 4389 were found best for pod yield q/ha and Kernel yield q/ha and genotype ICG 4538 were found best for Pod yield per plant, Seed yield per plant, Seed index. Moderate estimates of GCV were exhibited by kernel yield, days to 50% flowering, seed yield per plant and Moderate estimates of PCV were exhibited by field emergence, kernel yield, seed yield per plant, pod yield, no of primary branches per plant, days to 50 % flowering, pod yield per plant. Plant height, Seed index, Days to 50% flowering, shelling percentage, pod yield per plant, kernel yield, seed yield per plant, pod yield q/ha, exhibited high values for heritability (broad sense). Kernel yield exhibited high values for genetic advance as percent of mean.

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Published

01-01-2014

How to Cite

Kumar, K., Rai, P. K., Kumar, A., Singh, B. A., & Chaurasia, A. K. (2014). STUDY ON THE PERFORMANCE OF GROUNDNUT (Arachis hypogea L.) GENOTYPES FOR QUANTITATIVE TRAITS IN ALLAHABAD REGION. Caribbean Journal of Sciences and Technology, 2(01), 564–569. Retrieved from https://caribjscitech.com/index.php/cjst/article/view/139

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Section

Research Article