Evaluation of Reaction of some Rice Genotypes to Salinity Stress at Germination Stage

Mohamadi, Fateme; Bagheri, Nadali; Kiani, Ghaffar; Jelodar, Nadali Babaeian

doi:10.29252/jcb.10.27.20

Cited by 2 publications

(1 citation statement)

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“…Rice (Oryza sativa L.) is one of the three largest grains in the world, providing nourishment for over half of the global population [1]. It is cultivated in 114 countries, with annual production exceeding 100,000 tons in more than 50 countries [2]. In Iran, rice cultivation has been an integral part of the Iranian people's diet and a vital pillar of the agricultural economy, particularly in the northern provinces.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Genetic Parameters and Identification of Leaf Blast-Resistant Rice RILs Using Cluster Analysis and MGIDI

Jalalifar,

Sabouri,

Mousanejad

et al. 2023

Agronomy

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Rice blast disease, caused by the fungus Magnaporthe oryzae, poses a significant threat to rice cultivation. One effective way to deal with this disease is to identify and introduce resistant varieties using different breeding methods. This study utilized a population of 153 recombinant inbred lines (RILs) derived from the crossing of the Shahpasand (SH) and IR28 varieties, characterized by susceptibility and resistance to leaf blast, respectively. In combination with 12 control varieties, these genotypes were subjected to an extensive evaluation of disease severity (5 stages), the area under the disease progress curve (AUDPC), type, and the infection rate in 2021 and 2022. Analysis of variance revealed significant genetic variation, highlighting the potential of the RIL population for identifying and selecting resistant lines. Employing cluster analysis and the multi-trait genotype-ideotype distance index (MGIDI), 17 lines were identified as the most resistant over a two-year evaluation period. The average AUDPC for these resistant lines was estimated at 2.435 ± 0.114, and lines 17 and 111 had the lowest AUDPC (1.526 and 1.630, respectively) and showed the least infection in two years. Conversely, lines 42 and 43 showed the highest AUDPC values (255.312 and 248.209) along with heightened sensitivity. The use of MGIDI yielded a substantial selection differential (SD) of −59.12% for traits related to leaf blast disease resistance, demonstrating the effectiveness of this method. Furthermore, new recombinant populations are expected to be developed in future plant breeding projects by crossing the most susceptible and resistant lines, which will be new sources of resistance to this disease.

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Section: Introductionmentioning

confidence: 99%