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Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Effect of genotype × environment × management interactions on chickpea phenotypic stability

Peter Kaloki https://orcid.org/0000-0003-0934-8436 A C , Richard Trethowan A and Daniel K. Y. Tan B
+ Author Affiliations
- Author Affiliations

A Plant Breeding Institute, Sydney Institute of Agriculture, School of Life and Environmental Sciences, Faculty of Science, University of Sydney, 107 Cobbitty Road, Cobbitty, NSW 2570, Australia.

B Plant Breeding Institute, Sydney Institute of Agriculture, School of Life and Environmental Sciences, Faculty of Science, University of Sydney, 1 Central Avenue, Australian Technology Park, Eveleigh, NSW 2015, Australia.

C Corresponding author. Email: p.kaloki@ymail.com

Crop and Pasture Science 70(5) 453-462 https://doi.org/10.1071/CP18547
Submitted: 1 December 2018  Accepted: 11 April 2019   Published: 16 May 2019

Abstract

Crop varieties interact with the environment, which affects their performance. It is imperative to know how the environment affects these crop varieties in order to choose carefully the optimal environment for growth. Chickpea (Cicer arietinum L.) is grown in varying environmental conditions including conventional and no-tillage under both irrigated and rainfed farming systems. Hence, genotype × environment × management interactions can affect yield stability. An experiment was conducted in north-western New South Wales, Australia, to investigate these interactions and to determine possible environment types to help focus crop improvement. Eight environments were considered and genotype plus genotype × environment interaction (GGE) biplots were generated to assess genotype stability and interactions with environment. Genotype and environment main effects and genotype × environment interactions (GEI) accounted for 12.6%, 66% and 12% of the total variation in yield, respectively. The most productive and stable environments were not tilled, irrespective of moisture status. The most stable and productive genotype was Sonali, closely followed by PBA Slasher and ICCV 96853. The eight test environments grouped into two environment types that differentiated on the basis of tillage regime. Moisture was not a determinant of site grouping.

Additional keywords: chickpea genotypes, conventional tillage, genotype-by-environment interaction, genotype-by-environment-by-management, GGE biplots, no-till, phenotypic stability.


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