GENERATION MEAN ANALYSIS FOR YIELD AND YIELD COMPONENTS IN WHEAT (Triticum aestivum L.)

C.J. NINGHOT1, M.V. BORATKAR2*, S.B. THAWARI3, N.R. POTDUKHE4
1Department of Agricultural Botany, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India
2Department of Agricultural Botany, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India
3Department of Agricultural Botany, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India
4Department of Agricultural Botany, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India
* Corresponding Author : mb.cotbreeder@gmail.com

Received : 03-03-2016     Accepted : 11-08-2016     Published : 14-08-2016
Volume : 8     Issue : 4       Pages : 204 - 206
Genetics 8.4 (2016):204-206

Keywords : Wheat, Joint scaling test, Six parameter models, Gene effects
Academic Editor : Dr Tejbir Singh, Dr S V Sai Prasad
Conflict of Interest : None declared
Acknowledgements/Funding : The study was carried out as a part of M. Sc thesis at Wheat Research Station, Dr. P.D.K.V, Akola. I am sincerely thanking to Dr. N.R. Potdukhe (Senior Scientist, WRU, Dr PDKV, Akola) for undertaking this study.
Author Contribution : None declared

Cite - MLA : NINGHOT, C.J., et al "GENERATION MEAN ANALYSIS FOR YIELD AND YIELD COMPONENTS IN WHEAT (Triticum aestivum L.)." International Journal of Genetics 8.4 (2016):204-206.

Cite - APA : NINGHOT, C.J., BORATKAR, M.V., THAWARI, S.B., POTDUKHE, N.R. (2016). GENERATION MEAN ANALYSIS FOR YIELD AND YIELD COMPONENTS IN WHEAT (Triticum aestivum L.). International Journal of Genetics, 8 (4), 204-206.

Cite - Chicago : NINGHOT, C.J., M.V. BORATKAR, S.B. THAWARI, and N.R. POTDUKHE. "GENERATION MEAN ANALYSIS FOR YIELD AND YIELD COMPONENTS IN WHEAT (Triticum aestivum L.)." International Journal of Genetics 8, no. 4 (2016):204-206.

Copyright : © 2016, C.J. NINGHOT, et al, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

The objective of this study was to estimate gene effects for some agronomical traits (Days to earhead emergence, 1000 grain weight, Plant height (cm), Number of effective tillers per plant, Number of grains per earhead, Grain weight per earhead (g), Grain yield per plant (g) using six generations (P1, P2, F1, F2, BC1 and BC2) of AKAW – 2956 X LOK – 58 cross in order to improve yield contributing traits. Heritability and gene action of yield and yield components were estimated in an AKAW – 2956 X LOK – 58 cross-using generation mean analysis. The six-parameter model was fitted for explaining genetic variation for Plant height, No. of grains per earhead, Grain wt. per earhead and Grain yield per plant. Considering the importance of grain yield per plant very high broad sense heritability 99.4% were recorded in AKAW – 2956 X LOK – 58. Significance of scale B and C for the character number of grain per ear head indicated the presence of non-allelic interactions for grain per ear head. Similarly, the significance of scale C indicated the presence of a dominance x dominance type of non-allelic interactions for a number of grain per earhead and significant additive gene effect was exhibited by AKAW-2956 X LOK-58) for grain yield per plant, thereby indicated the scope for selection in early generations.