Acta Scientific Agriculture

Research ArticleVolume 2 Issue 5

The Role of Morpho-Physiological Attributes on the Seed Yield of Brassica juncea

MMA Mondal1*, MA Malek2 and MSH Bhuiyan2

1Principal Scientific Officer, Crop Physiology Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh, Bangladesh
2Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh, Bangladesh

*Corresponding Author: MSH Bhuiyan, Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh, Bangladesh.

Received: December 29, 2018; Published: April 13, 2018

Citation: MSH Bhuiyan., et al. “The Role of Morpho-Physiological Attributes on the Seed Yield of Brassica juncea". Acta Scientific Agriculture 2.5 (2018).

Abstract

  The field experiment was conducted to investigate morphological, growth, biochemical, yield attributes and seed yield in six Brassica juncea mutants viz., MM 01, MM 02, MM 04, MM 08, MM 09 and MM 10 along with a cultivar, BARIsarisa-11. Results revealed that high yielding genotypes had higher morphological characters (plant height, branch number and leaf area), growth characters (leaf area index, total dry mass and absolute growth rate), biochemical parameters(total sugar, nitrate reductase and photosynthesis) and yield attributes (siliqua number, siliqua length, number of seeds siliqua-1 and 1000-seed weight) resulting higher seed yield than low yielding ones. High yielding genotypes also showed better assimilate partitioning to economic yield than low yielding ones. The mutants MM 10 and MM 02 showed superiority in respect of growth and biochemical parameters resulting superior yield attributes thereby seed yield (2533 and 2417 kg ha-1, respectively). In contrast, MM 09 showed the inferiority in case of growth, biochemical parameters and siliqua number and also showed lower seed yield (1767 kg ha-1).

Keywords: Brassica juncea; BARIsarisa-11; MM 10; MM 02

Copyright: © 2018 MSH Bhuiyan., et al. 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.




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Acceptance rate32%
Acceptance to publication20-30 days
Impact Factor1.014

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