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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Grain yield stability of high-yielding barley genotypes under Egyptian conditions for enhancing resilience to climate change

Elsayed Mansour A D , Ehab S. A. Moustafa B , Nehal Z. A. El-Naggar A , Asmaa Abdelsalam A and Ernesto Igartua C
+ Author Affiliations
- Author Affiliations

A Crop Science Department, Faculty of Agriculture, Zagazig University, 44519 Zagazig, Egypt.

B Genetic Resources Department, Desert Research Center, Cairo 11753, Egypt.

C Aula Dei Experimental Station, EEAD-CSIC, Avda Montañana, 1005, 50059-Zaragoza, Spain.

D Corresponding author. Email: sayed_mansour_84@yahoo.es

Crop and Pasture Science 69(7) 681-690 https://doi.org/10.1071/CP18144
Submitted: 10 April 2018  Accepted: 2 June 2018   Published: 26 June 2018

Abstract

Identifying stable, high-yielding genotypes is essential for food security. This is particularly relevant in the current climate change scenario, which results in increasing occurrence of adverse conditions in the Mediterranean region. The objective of this study was to evaluate stability of barley (Hordeum vulgare L.) grain yield, and its relationship to the duration of the growth cycle and its stability under Mediterranean conditions in Egypt. Nineteen genotypes were evaluated during three growing seasons (2013–14 to 2015–16) at two locations (Elkhatara, Ghazala) and two growing seasons (2014–15 and 2015–16) at a third location (Ras-Sudr), i.e. eight environments (location–year combinations) in total. The linear regression explained a significant 48.2% and 22.8% of GEI variation for days to heading and grain yield, respectively, and the genotypic linear slopes were highly related to the first principal component of the AMMI model. Although all genotypes were well adapted to the region, there were different GEI responses, with changes in ranking across locations. Some stable and broadly adapted genotypes were identified, as well as unstable genotypes with specific adaptations. High yields across environments were attained by very stable (G4, G5), intermediate and stable (G1, G9) and highly responsive (G18, G19) genotypes. In general, responsiveness (b values) of yield and days to heading were negatively correlated, and high yielding genotypes showed different patterns of responses of days to heading. Genotypes G1, G4, G5 and G9 seemed best adapted overall, with longer season genotypes (e.g. G18 and G19) offering prospects to explore other formats of varieties in breeding, particularly for situations of climate instability.

Additional keywords: adaptation, biplot analysis, multi-environment trials, stability.


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