Trait relationship and path analysis under sodicity in Nagina 22 rice mutants

Rajasekar, R.; Jeyaprakash, P.; Manonmani, K.; Nithila, S.; Thirumurugan, T.

doi:10.37992/2021.1203.133

Cited by 3 publications

(5 citation statements)

References 16 publications

(17 reference statements)

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“…Single plant yield exhibited significant and positive correlation with PH, NT, NPT, FLL, PL, FPP, PW and HGW under sodicity. These results were in accordance with Sharma et al (2022) for PH and NPT, Rajasekar et al (2021) for NT, NPT, FLL, PW and HGW and Shrivastav et al (2020) for PL and FPP. On the other hand, SS exhibited negative and significant correlation with SPY.…”

Section: Sodicitysupporting

confidence: 91%

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Comparative delineation of genetic variability and association among yield and its contributing traits under sodic and normal soil conditions in rice (Oryza sativa L.)

2023

EJPB

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Genetic variability parameters were estimated in 150 diverse rice genotypes comprising landraces, improved varieties and Harvestplus lines at two environments viz., sodic and normal irrigated environments using Augmented Complete Block Design. The analysis of variance revealed significant differences among the test genotypes for all the traits. The analysis of mean performance of genotypes identified three genotypes outperformed all the check genotypes under sodicity conditions. The estimates of PCV, GCV, heritability and genetic advance as percent of mean inferred that most of the traits were governed by additive gene action and have good response to selection in both the environments. It was found that PCV and GCV had increased considerably for most of the traits under sodicity compared to normal irrigated environment. Correlation and path analysis revealed that the traits, number of productive tillers, panicle length, number of filled grains per panicle, panicle weight and hundred grain weight possessed high correlation and high direct effect on single plant yield indicating the importance of yield improvement through these traits.

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Section: Sodicitysupporting

confidence: 91%

“…Path analysis under sodicity revealed positive and highest direct effect of PL towards SPY followed by NPT, FPP, HGW and PW. Similar higher direct effects of NPT, HGW and PW were reported by Rajasekar et al (2021) and of NPT, PL and FPP were reported by Singh et al (2022). The indirect effects of some traits also had higher effects on SPY.…”

Section: Sodicitysupporting

confidence: 75%

Comparative delineation of genetic variability and association among yield and its contributing traits under sodic and normal soil conditions in rice (Oryza sativa L.)

2023

EJPB

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“…In this study, path coefficient analysis revealed that % survival, Na + concentration, K + concentration and Na + /K + ratio are the major traits to contribute salt tolerance because these variables jointly explain a major phenotypic variation. Many researchers also made similar observations [5,9,38]. This study is strongly supported by those researchers.…”

Section: Assessing the Salt-stress Responses In The Selected F2:3 Pro...supporting

confidence: 86%

Molecular Mapping To Identify Stable Salinity-Resilient QTLs From the Novel Landrace Akundi in Two Bi-Parental Populations Using SNP-Based 1k-RiCA Genotyping in Rice

Maniruzzaman¹,

Rahman²,

Hasan³

et al. 2023

Preprint

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Achieving high-yield potential is always the ultimate objective of any breeding program. However, various abiotic stresses like salinity, drought, cold, flood, and heat hampered rice productivity tremendously. Salinity is one of the most important abiotic stresses that adversely affect rice grain yield. The present investigation was undertaken to dissect new genetic loci, which are responsible for salt tolerance at the early seedling stage in rice. A bi-parental mapping population (F2:3) was developed from the cross between BRRI dhan28/Akundi, where BRRI dhan28 (BR28) is a salt-sensitive irrigated (boro) rice mega variety and Akundi is a highly salinity tolerant Bangladeshi origin indica rice landrace that is utilized as a donor parent. We report stable QTLs for salt tolerance from a common donor (Akundi) irrespective of two different genetic backgrounds (BRRI dhan49/Akundi and BRRI dhan28/Akundi). A robust 1k-Rice Custom Amplicon (1k-RiCA) SNP marker genotyping platform was used to genotype this bi-parental population. After eliminating markers with high segregation distortion, 886 polymorphic SNPs built a genetic linkage map covering 1526.5 cM of whole rice genome with an average SNP density of 1.72 cM for the 12 genetic linkage groups. A total of 12 QTLs for nine different salt tolerance-related traits were identified using QGene and inclusive composite interval mapping of additive and dominant QTL (ICIM-ADD) under salt stress on seven different chromosomes. All of these 12 new QTLs found unique, as no other map from the previous study has reported these QTLs in the similar chromosomal location and found them different from extensively studied Saltol, SKC1, OsSalT and salT locus. Twenty-eight significant digenic/epistatic interactions identified between chromosomal regions linked to or unlinked to QTLs. Akundi acts like a new alternate donor source of salt tolerance except for other usually known donors like Nona Bokra, Pokkali, Capsule, and Hasawi used in salt tolerance genetic analysis and breeding programs worldwide, including Bangladesh. Integration of the seven novel and stable QTLs (qSES1, qSL1, qRL1, qSUR1, qSL8, qK8, qK1) reported in this investigation will expedite the cultivar development that is highly tolerant to salt stress.

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“…Hitherto, 11 genotypes, RG113, RG22, RG150, RG162, RG188, RG26, RG50, RG95, RG107, RG123 and RG176, with significant yield coupled with sodicity tolerance may be used as a donor for breeding rice varieties tolerant to salt stress. A similar approach has been followed by Rajasekar et al (2021) in which useful rice mutants were identified based on simultaneous screening under hydroponics and field.…”

Section: Resultsmentioning

confidence: 99%

“…The seedlings were raised in Yoshida medium for the first 3 days followed by screening for sodicity with the addition of 100 mM NaHCO 3 in the same medium. Earlier, Rajasekar et al (2021) found that 50 per cent mortality of rice genotypes occurs at 100 mM NaHCO 3 and the same has been fixed as screening for sodicity.…”

Section: Methodsmentioning

confidence: 99%

Hotspot screening of early maturing rice genotypes and genetic variability studies under sodicity

2022

EJPB

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An experiment was conducted with 39 rice genotypes to screen for salt tolerance and evaluate potential variation among the genotypes under sodic conditions. All the 39 rice genotypes along with two check varieties (TRY2 & TRY5) were screened in vitro for salt tolerance by imposing 100 mM NaHCO 3 at the seedling stage under hydroponics and a salt injury score was given based on morphological symptoms. Observations on 12 biometrical traits were recorded under field sodic conditions and subjected to variability analysis. The ANOVA revealed that there was a significant difference for the 11 traits among the genotypes except for flag leaf breadth. Among the genotypes, the highest single plant yield was recorded by RG 50 (36.83 g). A correlation study revealed that, single plant yield exhibited significant and positive genotypic and phenotypic relation with panicle harvest index, the number of grains per panicle and panicle length. Path analysis showed that the traits viz., panicle harvest index, plant height and panicle length had a very high and positive direct effect on single plant yield. The traits viz., flag leaf breadth, SPAD meter reading and number of productive tillers per plant had a high and positive direct effect on single plant yield. In vitro studies revealed that the genotype RG113 was found to be highly tolerant to salt stress and it also showed a significantly higher yield (35.42 g) under field sodicity. The genotypes RG22, RG150, RG162 and RG188 which showed tolerance under in vitro screening and the moderately tolerant genotypes RG26, RG50, RG95, RG107, RG123 and RG176 were exhibiting significant yield under field sodicity conditions. Therefore, in order to breed for high yielding salt-tolerant rice varieties, the identified genotypes could be exploited as donor genotypes.

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Trait relationship and path analysis under sodicity in Nagina 22 rice mutants

Abstract: The present study was conducted for evaluating EMS induced mutants for sodicity tolerance in rice. A set of 402 Nagina 22 rice mutants along with three sodicity tolerant check varieties namely TRY2, TRY3 and TRY4 were screened at

Cited by 3 publications

References 16 publications

Comparative delineation of genetic variability and association among yield and its contributing traits under sodic and normal soil conditions in rice (Oryza sativa L.)

Comparative delineation of genetic variability and association among yield and its contributing traits under sodic and normal soil conditions in rice (Oryza sativa L.)

Molecular Mapping To Identify Stable Salinity-Resilient QTLs From the Novel Landrace Akundi in Two Bi-Parental Populations Using SNP-Based 1k-RiCA Genotyping in Rice

Hotspot screening of early maturing rice genotypes and genetic variability studies under sodicity

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