Assessment of Yield-based Drought Tolerance Indices and Physiological Traits for Screening Pomegranate (Punica granatum L.) Genotypes

Document Type : Research paper

Authors

1 Department of Agriculture, Payame Noor University (PNU), Tehran, Iran

2 Crop and Horticulture Science Research Department, Markazi Agricultural and Natural Resources Research and Education Center (AREEO), Arak, Iran

3 Department of Agricultural Science, Technical and Vocational University (TVU), Tehran, Iran

Abstract

The present research considered identifying drought-tolerant genotypes through an index-based analysis of stress tolerance and physiological traits in pomegranates. Ten local pomegranate genotypes in Iran were evaluated for drought stress tolerance in two different irrigation regimes, i.e., normal conditions and severe drought stress (SDS). The experiment was arranged in a randomized block design with three replications and took two consecutive years to accomplish (2019- 2020). Indices for stress tolerance were estimated from the fruit yield of a single tree under each irrigation regime. There were significantly positive correlations among several parameters, including Yp (fruit
yield under normal conditions), Ys (fruit yield under SDS), mean productivity (MP), geometric mean productivity (GMP), stress tolerance index (STI), and proline (Pro) content. Therefore, these indices can be applied when identifying drought-tolerant genotypes under SDS and normal conditions. The Pro content was introduced as the best physiological index to assist in indirectly selecting drought-tolerant genotypes. A negative correlation occurred between Ys and stress susceptibility index (SSI). This index may assist in identifying susceptible genotypes. Based on principal component analysis (PCA), two genotypes (MTS and PSS) performed best in fruit yield and showed a high Pro content under the SDS condition.

Keywords

International Journal of Horticultural Science and Technology
Volume 11, Issue 3
July 2024
Pages 317-330

Files

History

  • Receive Date: 09 August 2023
  • Revise Date: 27 September 2023
  • Accept Date: 10 November 2023

Share

How to cite

Statistics