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Approaches for enhancing grain yield of finger millet (Eleusine coracana)

Published online by Cambridge University Press:  03 May 2021

Y. A. Nanja Reddy Open the ORCID record for Y. A. Nanja Reddy [Opens in a new window] ,
Jayarame Gowda  and
K. T. Krishne Gowda
Y. A. Nanja Reddy*
Affiliation:
Department of Crop Physiology, Bengaluru560065, India AICRP on Small Millets, University of Agricultural Sciences, GKVK, Bengaluru560065, India
Jayarame Gowda
Affiliation:
AICRP on Small Millets, University of Agricultural Sciences, GKVK, Bengaluru560065, India
K. T. Krishne Gowda
Affiliation:
AICRP on Small Millets, University of Agricultural Sciences, GKVK, Bengaluru560065, India
*
*Corresponding author. E-mail: [email protected]
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Abstract

Finger millet is gaining importance as a food crop with the increasing emphasis on nutritional aspects and drought resilience. However, yield improvement has stagnated. Therefore, popular varieties have been examined for the purpose of whether direct selection for grain yield can be continued or an alternate trait-based approach using the germplasm is necessary. Direct selection for grain yield over the ruling variety, cv. GPU-28 (Germplasm Unit) has not been satisfactory. The path analysis has revealed a high direct effect of mean ear weight on grain yield followed by a moderate direct effect of photosynthetic rate and leaf area index. Furthermore, backward stepwise regression analysis revealed that among the independent traits, the mean ear weight made a significant contribution (60.8%) towards grain yield, followed by the photosynthetic rate (39.2%). The regression equation predicts the inclusion of mean ear weight by 1.0 g extra (as in GE-2672) to cv. GPU-28 will increase grain yield by 4.74%. The trait-specific genotypes are superior to the cv. GPU-28 were GPU-67 (photosynthetic rate) and GE-2672 (mean ear weight) and they could be used as donors for yield improvement. Future selection would aim for genotypes having 70–75 days for flowering with 4−5 productive tillers and mean ear weight of more than 8−9 g/ear. The possible approaches for enhancing grain yield are also discussed.

Keywords

biomassLAImean ear weightphotosynthetic rateyield prediction
Type
Research Article
Information
Plant Genetic Resources , Volume 19 , Issue 3 , June 2021 , pp. 229 - 237
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of NIAB

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