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Research Article Open access CC BY 4.0

Selection of Major Yield Contributing Traits by Multiple Linear Regression Model in Finger Millet (Eleusine coracanaL.)

Y. A. Nanja Reddy, M. V. Channabyre Gowda

International Journal of Plant & Soil Science · pp. 533–543 · Published 1 Apr 2024

10.9734/ijpss/2024/v36i54550

Abstract

Yield improvement of finger millet through yield-based selection has plateaued in the last two decades. Hence, breeding efforts are required to prioritize the trait-based improvement in addition to yield per se. Using the backward multiple linear regression, and path analysis, the independent parameters, mean ear-head weight (MEW), ear-head number/ plant (ENo.) and the threshing percentage, were found significant contributors to grain yield. Genetic resources for the higher mean ear-head weight of >10.22g (GE-4683, GE-4596) and ear-head number >104.7m-2 (RAU-8, PR-202) were selected over the popular variety, GPU-28 (7.59g and 72.7m-2, respectively). Theoretically, incorporating the higher MEW and ear-head number/plant from the identified lines into popular variety, GPU-28 (shy tillering) in multiple regression model has predicted the possibility of increasing yield of GPU-28 by 17.8% and 29.5%, respectively. Therefore, a shift towards trait-based improvement could be appropriate to break the yield plateau of finger millet.

Genetic resources path analysis multiple linear regression yield prediction finger millet

References (22)

  1. 1 The nutritional use of millet grain for food and feed: a review [DOI]
  2. 2 Review of Finger millet (Eleusine coracana (L.) Gaertn): A power house of health benefiting nutrients [DOI]
  3. 3 Millets for Food Security in the Context of Climate Change: A Review [DOI]
  4. 4 Genetic diversity for grain nutrients contents in a core collection of finger millet (Eleusine coracana (L.) Gaertn.) germplasm [DOI]
  5. 5 A Review of Nutrient Management Studies Involving Finger Millet in the Semi-Arid Tropics of Asia and Africa [DOI]
  6. 6 Morphological diversity in finger millet germplasm introduced from Southern and Eastern Africa
  7. 7 Assessment of traits for grain yield under drought in finger millet [DOI]
  8. 8 Genotype-by-Environment Interaction and Yield Stability Analysis in Finger Millet (Elucine coracana L. Gaertn) in Ethiopia [DOI]
  9. 9 Effective Selection Criteria for Screening Drought Tolerant and High Yielding Bread Wheat Genotypes [DOI]
  10. 10 Finger millet (Eleusine coracana L.) grain yield and yield components as influenced by phosphorus application and variety in Western Kenya [DOI]
  11. 11 PHENOTYPIC DIVERSITY OF FINGER MILLET (Eleusine coracana (L.) Gaertn.) GENOTYPES [DOI]
  12. 12 Drought adaptation: Approaches for crop improvement [DOI]
  13. 13 Minerals Content in Finger Millet [Eleusine coracana(L.) Gaertn]: A Future Grain for Nutritional Security
  14. 14 Variability, Correlation and Path Analysis Studies of Yield and Yield Attributing Traits in Advanced breeding lines of rice (Oryza sativa L.) [DOI]
  15. 15 Evaluation of finger millet (Eleusine coracana (L). Gaertn.) varieties for grain yield in lowland areas of southern Ethiopia [DOI]
  16. 16 Variability and trait relationships among finger millet accessions in Uganda [DOI]
  17. 17 Adaptability and Forage Characterization of Finger Millet Accessions in U.S. Southern Great Plains [DOI]
  18. 18 Breeding potential of selected crosses for genetic improvement of finger millet
  19. 19 Bench Mark Values for Grain Iron Content in Finger Millet (Eleusine coracana (L.) Gaertn.) [DOI]
  20. 20 Yield improvement compensates the grain nutrient concentration in finger millet (Eleusine coracana L.): analysis using varieties released over years [DOI]
  21. 21 Participatory Variety Selection for enhanced promotion and adoption of improved finger millet varieties: A case for Singida and Iramba Districts in Central Tanzania [DOI]
  22. 22 Effect of source size and its position on grain yield in finger millet (Eleusine coracana L.) [DOI]

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