Literature DB >> 27994194

Gene interactions and genetics for yield and its attributes in grass pea (Lathyrus sativus L.).

A K Parihar1, G P Dixit, Deepak Singh.   

Abstract

Grain yield is a complex character representing a multiplicative end product of many yield attributes. However, understanding the genetics and inheritance that underlies yield and its component characters pose a prerequisite to attain the actual yield potential of any crop species. The knowledge pertaining to gene actions and interactions is likely to direct and strengthen the crop breeding programmes. With this objective, the present investigation was undertaken by using six generations derived from three different crosses in grass pea. The study underscores the significance of additive-dominance model, gene action involved in inheritance of quantitative characters and heritability. Of note, nonallelic interactions influencing the traits were detected by both scaling test and joint scaling test, indicating the inadequacy of the additive-dominance model alone in explaining the manifestation of complex traits such as yield. Besides, additive (d) and dominance (h) gene effects, different types of interallelic interactions (i, j, l) contributed towards the inheritance of traits in the given crosses. Nevertheless, predominance of additive variance suggests a difference between homozygotes at a locus with positive and negative alleles being distributed between the parents. Duplicate epistasis was prevalent in most of the cases for traits like plant height, seeds/pod, 100-seed weight and pod width. In view of the diverse gene actions, i.e. additive, dominant and epistasis, playing important roles in the manifestation of complex traits like yield, we advocate implementation of population improvement techniques in particular reciprocal recurrent selection to improve productivity gains in grass pea.

Entities:  

Mesh:

Year:  2016        PMID: 27994194     DOI: 10.1007/s12041-016-0722-2

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  6 in total

1.  The separation of epistatic from additive and dominance variation in generation means. II.

Authors:  B I HAYMAN
Journal:  Genetica       Date:  1960       Impact factor: 1.082

2.  Genetic Variances in Open Pollinated Varieties of Corn.

Authors:  H F Robinson; R E Comstock; P H Harvey
Journal:  Genetics       Date:  1955-01       Impact factor: 4.562

3.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

4.  Multi-environment QTL mixed models for drought stress adaptation in wheat.

Authors:  Ky L Mathews; Marcos Malosetti; Scott Chapman; Lynne McIntyre; Matthew Reynolds; Ray Shorter; Fred van Eeuwijk
Journal:  Theor Appl Genet       Date:  2008-08-12       Impact factor: 5.699

5.  Genetic analysis of capsule and its associated economic traits in opium poppy (Papaver somniferum L.).

Authors:  Birendra Kumar; Nirmal Kumar Patra
Journal:  J Hered       Date:  2010-05-14       Impact factor: 2.645

6.  Exploiting the pathway structure of metabolism to reveal high-order epistasis.

Authors:  Marcin Imielinski; Calin Belta
Journal:  BMC Syst Biol       Date:  2008-04-30
  6 in total
  2 in total

1.  Generation Mean Analysis Reveals the Predominant Gene Effects for Grain Iron and Zinc Contents in Pearl Millet.

Authors:  Mahesh Pujar; Mahalingam Govindaraj; S Gangaprasad; Anand Kanatti; T H Gowda; B M Dushyantha Kumar; K M Satish
Journal:  Front Plant Sci       Date:  2022-01-28       Impact factor: 5.753

2.  Ageing Effects, Generation Means, and Path Coefficient Analyses on High Kernel Elongation in Mahsuri Mutan and Basmati 370 Rice Populations.

Authors:  Anna Arina Bt Ab Halim; Mohd Y Rafii; Mohamad B Osman; Yusuff Oladosu; Samuel C Chukwu
Journal:  Biomed Res Int       Date:  2021-05-21       Impact factor: 3.411

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.