Evaluation of Inherited Resistance Genes of Bacterial Leaf Blight, Blast and Drought Tolerance in Improved Rice Lines

Akos, Ibrahim Silas; Rafii, M. Y.; Ismail, Mohd Razi; Ramlee, Shairul Izan; Shamsudin, Noraziyah Abd Aziz; Ramli, Asfaliza; Chukwu, Samuel Chibuike; Swaray, Senesie; Jalloh, Momodu

doi:10.1016/j.rsci.2020.08.001

Cited by 6 publications

(4 citation statements)

References 31 publications

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“…2 and Fig. 3) Evaluation of rice genotypes through PCA 3D scatter diagram was also carried out by Tejaswini et al (2018) and Ibrahim et al (2021).…”

Section: Sujan Acharjee Et Almentioning

confidence: 99%

Screening of rice landraces for potential drought tolerance through comparative studies of genetic variability and principal component analysis

2021

EJPB

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To identify stable yielding rice landraces with optimum drought tolerance ability, the present comparative study of genetic variability and principal component analysis was carried out based on different morphological traits of 60 landraces of northeast India belonging to upland rice. The sensitivity of the landraces under drought stress conditions was confirmed by the first-order statistics of genetic variation as well as Principal component analysis (PCA) since comparatively more numbers (6) of principal components were found under drought stress over the irrigated conditions with 74.12 per cent of cumulative variability. Characters viz., leaf rolling index, root: culm ratio, the number of spikelets per panicle, the number of filled grains per panicle, 100 seed weight and grain yield per plant were identified as suitable selection indexes for landraces under drought stress conditions. Based upon the eigenvalue and scattered diagram analysis under PCA, the landraces viz., Garomalati, Chikanswari Kabar, Turkey, Tarkol, Maimi Taukha and Madoop were found to be diverse and promising genotypes under drought stress. Hence, these landraces may be utilised as potential parents in the future breeding programme.

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“…2 and Fig. 3) Evaluation of rice genotypes through PCA 3D scatter diagram was also carried out by Tejaswini et al (2018) and Ibrahim et al (2021).…”

Section: Sujan Acharjee Et Almentioning

confidence: 99%

Screening of rice landraces for potential drought tolerance through comparative studies of genetic variability and principal component analysis

2021

EJPB

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“…The genotype (rice variety) and environment (growth conditions) control starch and protein structures (including morphology), and these structures control their properties of interest. Genotype x environment interaction analysis has been reported as a major step that is necessary in developing improved varieties [18][19][20][21]. There are differences in yield and yield component traits, such as starch and protein, when genotypes or varieties are evaluated across environments.…”

Section: Introductionmentioning

confidence: 99%

Physicochemical Properties and Tissue Structure of High Kernel Elongation Rice (Oryza sativa L.) Varieties as Affected by Heat Treatment

Halim

Rafii

Osman

et al. 2023

Foods

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Heat treatment could affect the structure and properties of rice varieties. The present study was conducted in order to determine the effects of heat treatment on the physicochemical properties and tissue structure of Mahsuri Mutan, Basmati 370 and MR219 rice varieties. The three rice varieties were subjected to heat treatment (ageing) at 90 °C, using an oven, for 3 h. After the heat treatment, the samples were cooled at room temperature (25 °C) for 1 h. Physicochemical properties, such as alkali digestion value, water uptake ratio, solids in cooking water, high kernel elongation ratio and amylose contents, were determined. The procedure used in determining both apparent and absolute amylose involved measuring the iodine affinity of defatted whole starch. Ahigh-performance anion-exchange chromatograph was used to analyse branch chain length distribution of amylopectin quantitatively. The starch structure of the rice samples was observed under a scanning electron microscope. Data collected on physicochemical traits, heat treatment and control (ageing and non-ageing) were subjected to an analysis of variance using SAS software version 9.4. In this study, Mahsuri Mutan and Basmati 370 showed superior high kernel elongation as compared to their respective rice progenies. This study also found that heat treatment directly affected the increasingly high kernel elongation for both populations. The phenotypic correlation co-efficient indicated that there was a high positive correlation between high kernel elongation and water uptake ratio, implying that selection for water uptake ratio would increase the high kernel elongation characteristic. The heat treatment showed significant difference in all the physicochemical traits of the varieties studied. Heat treatment also affected the very long branch chains of starch, such as amylose. Observation under an electron microscope showed that the samples subjected to heat treatment had more cracks on the tissue structure compared to normal rice samples. The hexagon structure in Mahsuri Mutan produced a greater elongation effect on its kernel. The findings from this study could be useful to breeders in the selection and development of a new high kernel elongation rice variety.

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“…Therefore, an efficacious, cost-effective, and eco-friendly bacterial blast management strategy is crucial for sustainable rice production not only for Malaysia but also for the world at large. The most effective way of controlling blast disease is through the development of a resistant variety, which eventually minimizes yield loss (Akos et al, 2019;Akos et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Genotype-by-environment interaction effects on blast disease severity and genetic diversity of advanced blast-resistant rice lines based on quantitative traits

Salleh

Rafii²,

Ismail³

et al. 2022

Front. Agron.

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IntroductionAmong the rice diseases, rice blast caused by the pathogen Magnaporthe oryzae is a major threat to the global rice cultivation. This experiment was aimed at investigating the genotype by environment interaction effects on the severity of blast disease and variability of the advanced blast resistant rice lines using quantitative characters.Materials and methodsThe experiment was laid out in randomized complete block design conducted at three locations. Data were collected on 21 traits which included vegetative, physiological, yield and yield components and were subjected to analysis of variance and variance component analysis. Cluster analysis was authenticated using principal component analysis for genotypes’ classification.Results and discussionAll vegetative and yield traits showed highly significant variation among the advanced lines and the check. Seberang Prai showed the highest average yield (5.62t/ha), followed by Tanjung Karang (5.39t/ha) and UPM (4.97t/ha). All the advanced lines showed high resistance to blast disease. Evaluation across the three environments indicated that genotype G3, from MR219 based population, had the highest yield and resistance to blast infection. Genotype G21, from MR263 based population, performed best across the three environments studied and were selected for further breeding programme. The two selected lines, three and four clusters derived from MR219 and MR263 based populations, respectively, were recommended as new lines for further breeding programmes.

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Evaluation of Inherited Resistance Genes of Bacterial Leaf Blight, Blast and Drought Tolerance in Improved Rice Lines

Cited by 6 publications

References 31 publications

Screening of rice landraces for potential drought tolerance through comparative studies of genetic variability and principal component analysis

Screening of rice landraces for potential drought tolerance through comparative studies of genetic variability and principal component analysis

Physicochemical Properties and Tissue Structure of High Kernel Elongation Rice (Oryza sativa L.) Varieties as Affected by Heat Treatment

Genotype-by-environment interaction effects on blast disease severity and genetic diversity of advanced blast-resistant rice lines based on quantitative traits

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