Utilization of genetic diversity and marker-trait to improve drought tolerance in rice (Oryza sativa L.)

Ghazy, M. I.; Salem, Khaled F. M.; Sallam, Ahmed

doi:10.1007/s11033-020-06029-7

Cited by 22 publications

(19 citation statements)

References 35 publications

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“…Environments (E) mean squares were found to be highly significant for all studied characters, indicating that the performances of these genotypes differed from normal to stress conditions. These results agree with those obtained by Abd Allah et al, (2010), Aboukhadrah et al, (2015) and Ghazy et al, (2021).…”

Section: Analysis Of Variancesupporting

confidence: 94%

Evaluation of New Promising Rice Lines Under Water Deficit Conditions Based on Grain Yield, Quality and Stress Tolerance Indices تقييم سلالالات مبشرة من الأرز تحت ظروف نقص المياه على أساس محصول الحبوب وصفات الجودة و دلائل الإجهاد المائي

Hussein¹,

Sakran

Elshenawy

2021

Journal of Plant Production

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Two field experiments were carried out at the Experimental Farm of Sakha Agricultural Research Station during 2019 and 2020 growing seasons, to evaluate 21 rice genotypes (18 new promising lines and three commercial check varieties) for grain yield, yield components and quality characters under normal and water deficit conditions. Moreover, eight stress tolerance indices were calculated based on grain yield under water deficit and normal conditions to differentiate the water deficit tolerant genotypes from sensitive ones. The results showed that the variances due to years, environments, genotypes and their interactions were significant for most studied traits. All mean values of the studied traits decreased under water deficit stress condition compared to those under normal condition. The earliest genotypes were L4, L15 and L12 under normal condition. Whereas under stress condition L11,Giza 179 and Sakha 107 were the earliest ones. The most desirable mean values towards dwarfness were recorded by the lines L1 and L9. While, L13 and L2 had the highest mean values towards tallness. Moreover, Line 2 recorded the most desirable estimates for grain quality characters across all environments. The lines L14, L12 and L3 gave the highest grain yield and stress tolerance index (STI), while L6 displayed the lowest grain yield and STI. Moreover, the results indicated that harmonic mean (HM) and yield index (YI) indices gave similar ranks for these lines which considered as water deficit tolerant genotypes. Accordingly, these lines could be used in breeding programs to transmit tolerance genes to commercial cultivars for reduced irrigation.

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Section: Analysis Of Variancesupporting

confidence: 94%

Evaluation of New Promising Rice Lines Under Water Deficit Conditions Based on Grain Yield, Quality and Stress Tolerance Indices تقييم سلالالات مبشرة من الأرز تحت ظروف نقص المياه على أساس محصول الحبوب وصفات الجودة و دلائل الإجهاد المائي

Hussein¹,

Sakran

Elshenawy

2021

Journal of Plant Production

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“…Consequently, it is vulnerable to reduced yields due to water scarcity [ 9 ]. Thus, developing drought-tolerant genotypes is imperative in order to maintain global food security [ 10 , 11 ]. Continuous efforts are underway to breed high-yielding and drought-tolerant rice genotypes, particularly in the face of current climate change.…”

Section: Introductionmentioning

confidence: 99%

Molecular Genetic Diversity and Combining Ability for Some Physiological and Agronomic Traits in Rice under Well-Watered and Water-Deficit Conditions

Sakran

Ghazy

Rehan

et al. 2022

Plants

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Water deficit is a pivotal abiotic stress that detrimentally constrains rice growth and production. Thereupon, the development of high-yielding and drought-tolerant rice genotypes is imperative in order to sustain rice production and ensure global food security. The present study aimed to evaluate diverse exotic and local parental rice genotypes and their corresponding cross combinations under water-deficit versus well-watered conditions, determining general and specific combining ability effects, heterosis, and the gene action controlling important traits through half-diallel analysis. In addition, the research aimed to assess parental genetic distance (GD) employing simple sequence repeat (SSR) markers, and to determine its association with hybrid performance, heterosis, and specific combining ability (SCA) effects. Six diverse rice genotypes (exotic and local) and their 15 F1 hybrids were assessed for two years under water-deficit and well-watered conditions. The results revealed that water-deficit stress substantially declined days to heading, plant height, chlorophyll content, relative water content, grain yield, and yield attributes. Contrarily, leaf rolling and the sterility percentage were considerably increased compared to well-watered conditions. Genotypes differed significantly for all the studied characteristics under water-deficit and well-watered conditions. Both additive and non-additive gene actions were involved in governing the inheritance of all the studied traits; however, additive gene action was predominant for most traits. The parental genotypes P1 and P2 were identified as excellent combiners for earliness and the breeding of short stature genotypes. Moreover, P3, P4, and P6 were identified as excellent combiners to increase grain yield and its attributes under water-deficit conditions. The hybrid combinations; P1 × P4, P2 × P5, P3 × P4, and P4 × P6 were found to be good specific combiners for grain yield and its contributed traits under water-deficit conditions. The parental genetic distance (GD) ranged from 0.38 to 0.89, with an average of 0.70. It showed lower association with hybrid performance, heterosis, and combining ability effects for all the studied traits. Nevertheless, SCA revealed a significant association with hybrid performance and heterosis, which suggests that SCA is a good predictor for hybrid performance and heterosis under water-deficit conditions. Strong positive relationships were identified between grain yield and each of relative water content, chlorophyll content, number of panicles/plant, number of filled grains/panicle, and 1000-grain weight. This suggests that these traits could be exploited as important indirect selection criteria for improving rice grain yield under water-deficit conditions.

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“…Therefore, phenotypic selection at the seedling stage alone can be misleading due to plant development and genotype × environment interaction. Phenotypic selection along with molecular genetic tools will lead to genetic improvement and a better understanding of stem rust resistance in wheat (Mourad et al, 2019;Dawood et al, 2020;Moursi et al, 2020;Ghazy et al, 2021). Moreover, selection at the seedling stage for stem rust resistance is very important as it is an efficient assay for advancing lines to the next generation.…”

Section: Genetic Variation In Stem Rust Resistancementioning

confidence: 99%

“…Identification of SNP markers associated with stem rust by GWAS can lead to converting these SNPs to KASP markers which have advantages over other DNA molecular markers (Sallam et al, 2017;Kaur et al, 2020)in marker-assisted selection. Using phenotypic selection combined with GWAS results, genotyping with known stem rust genes and genetic diversity will help to accelerate breeding program by selecting the true-promising genotypes as it was suggested in wheat, rice (Oryza sativa L.) and barley (Hordeum vulgare L.) by (Abou-Zeid and Mourad 2021;Ghazy et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Identification and Validation of High LD Hotspot Genomic Regions Harboring Stem Rust Resistant Genes on 1B, 2A (Sr38), and 7B Chromosomes in Wheat

et al. 2021

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Stem rust caused by Puccinia graminis f. sp. tritici Eriks. is an important disease of common wheat globally. The production and cultivation of genetically resistant cultivars are one of the most successful and environmentally friendly ways to protect wheat against fungal pathogens. Seedling screening and genome-wide association study (GWAS) were used to determine the genetic diversity of wheat genotypes obtained on stem rust resistance loci. At the seedling stage, the reaction of the common stem rust race QFCSC in Nebraska was measured in a set of 212 genotypes from F3:6 lines. The results indicated that 184 genotypes (86.8%) had different degrees of resistance to this common race. While 28 genotypes (13.2%) were susceptible to stem rust. A set of 11,911 single-nucleotide polymorphism (SNP) markers was used to perform GWAS which detected 84 significant marker-trait associations (MTAs) with SNPs located on chromosomes 1B, 2A, 2B, 7B and an unknown chromosome. Promising high linkage disequilibrium (LD) genomic regions were found in all chromosomes except 2B which suggested they include candidate genes controlling stem rust resistance. Highly significant LD was found among these 59 significant SNPs on chromosome 2A and 12 significant SNPs with an unknown chromosomal position. The LD analysis between SNPs located on 2A and Sr38 gene reveal high significant LD genomic regions which was previously reported. To select the most promising stem rust resistant genotypes, a new approach was suggested based on four criteria including, phenotypic selection, number of resistant allele(s), the genetic distance among the selected parents, and number of the different resistant allele(s) in the candidate crosses. As a result, 23 genotypes were considered as the most suitable parents for crossing to produce highly resistant stem rust genotypes against the QFCSC.

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Utilization of genetic diversity and marker-trait to improve drought tolerance in rice (Oryza sativa L.)

Cited by 22 publications

References 35 publications

Molecular Genetic Diversity and Combining Ability for Some Physiological and Agronomic Traits in Rice under Well-Watered and Water-Deficit Conditions

Identification and Validation of High LD Hotspot Genomic Regions Harboring Stem Rust Resistant Genes on 1B, 2A (Sr38), and 7B Chromosomes in Wheat

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