Analysis of Genetic Diversity By Ssr Markers Linked to Major Qtls of Cooking and Eating Quality Traits in Rice تحليل التنوع الوراثى باستخدام المعلمات الجزيئية المرتبطة بمواقع الصفات الکمية الرئيسية لصفات جودة الطهى والاکل فى الارز

Aims: For prevention and management of type II diabetes among rice eating population, consumption of rice with lower Glycemic Index (GI) is highly desirable as low GI food decreases plasma glucose levels and plasma insulin demand. As there is paucity of information on the GIs of commonly consumed rice varieties in India, the aim of this study was to determine GI of selected five rice varieties, and to find relationship of GI with their cooking and eating quality traits. Study Design, Place and Duration: In vivo experiment was conducted at PG&RC, PJTS Agricultural University, Hyderabad, India, during March, 2017 to February, 2018. During this period, cooking and eating quality traits of selected rice varieties were determined in ICAR- Indian Institute of Rice Research, Hyderabad, India. Methodology: GIs were determined by feeding10 fasted human subjects a fixed portion of foods and subsequently measuring plasma glucose of their blood samples at specific interval of time and GIs were calculated using standard formula. Cooking and eating quality traits were determined using standard procedure. Results: The estimated GI values were 56.38(SEM 1.57), 59.23(SEM 1.02), 71.73 (SEM 1.75), 87.40 (SEM 1.90), and 94.05 (SEM 1.21), respectively for Sampada, Dhanrasi, DRR Dhan 42, DRR Dhan 43, and Jarava. Alkali spreading value (ASV), Gel consistency (GC), and Water uptake (WU) values of these five varieties ranged from 4 to 6, 22 mm to 54.5 mm, and 80 ml/ 100 g to 255 ml/100 g, respectively. Conclusion: Two varieties were identified with moderate GI values (Sampada, 56.38 ± 1.57; Dhanrasi, 59.23± 1.02). These varieties can prove to be a healthier option to incorporate in nutritional therapeutic diet. It is also concluded that lower ASV, higher GC, and lower WU, are good predictors for lower GIs of rice varieties. These relationships may be used for screening of low GI rice cultivars in breeding programme.

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Assessment of diversity of Indian aromatic rice germplasm collections for morphological, agronomical, quality traits and molecular characters to identify a core set for crop improvement

CABI Agriculture and Bioscience ◽

10.1186/s43170-020-00013-8 ◽

2020 ◽

Vol 1 (1) ◽

Author(s):

G. S. V. Prasad ◽

G. Padmavathi ◽

K. Suneetha ◽

M. S. Madhav ◽

K. Muralidharan

Keyword(s):

Genetic Diversity ◽

Ssr Markers ◽

Crop Improvement ◽

Chromosome 6 ◽

Aromatic Rice ◽

Quality Traits ◽

Combined Analysis ◽

The Core ◽

Rice Germplasm ◽

Core Set

Abstract Background Besides the Basmati, the aromatic rice germplasm (ARG) accessions are treasured for quality, medicinal value and aroma. The demand for aromatic rice is ever increasing. Genetic diversity is the source of variability to identify superior alleles controlling morphological, agronomic and quality traits, and molecular attributes. This study reports on the characterization of traits in ARG to identify a core set for breeding high-yielding varieties. Methods The genetic diversity was measured on the distinctness, uniformity and stability (DUS) of 46 traits in 208 Indian ARG in field, greenhouse and laboratory tests. We performed individual and combined analysis of DUS traits and molecular data generated using 55 SSR markers. The genetic distances between genotypes were estimated using Mahalanobis D2 analysis and clustering by standardized Euclidean2 distances, Ward Minimum variance, Gowers’ similarity index and PowerMarker. The aim was to derive a core set of non-Basmati ARG using PowerCore to deploy in crop improvement. Results Eighty-two alleles were detected. Alleles per marker ranged from 2 (RM505) to 5 (RM276) with an average of 3.04 alleles. The markers are informative in analyzing the diversity as the PIC values estimated varied from 0.17 (RM577 on chromosome 1) to 0.72 (RM276 on chromosome 6) with an average of 0.54 per locus. RM276 with repeat motif of (AG)8A3(GA) 33 on chromosome 6 was the most informative (amplified 5 alleles). The combined analysis had shown genotypes in a few clusters to be more diverse than others. SSR markers RM289, RM505, RM577 and RM22866 were identified as genotype specific markers. With PowerCore, 46 genotypes (22%) were identified as a core set of ARG that represent all the alleles detected in the entire set investigated. 2-Acetyl-1-pyrroline is considered to impart aroma; it was not detected by GC–MS tests in many ARG. Conclusions Forty-six genotypes in the core set have different maturity periods, plant statures, grain types and grain quality traits. A parent can be selected from the core set to improve aromatic rice depending on the breeding objective. The olfactory sensing of strong aroma emitted by cooked kernels of all ARG was found more decisive than the costly GC–MS tests.

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Microsatellite-based characterization of cotton genotypes for verticillium wilt and fiber quality traits

Turkish Journal of Biochemistry ◽

10.1515/tjb-2017-0169 ◽

2017 ◽

Vol 43 (3) ◽

pp. 277-288

Author(s):

Amna Saeed ◽

Eminur Elçi

Keyword(s):

Genetic Diversity ◽

Ssr Markers ◽

Verticillium Wilt ◽

Fiber Quality ◽

Stress Factors ◽

Quality Traits ◽

Cotton Yield ◽

Fiber Quality Traits ◽

Resistant Cultivars ◽

Cotton Genotypes

Abstract Cotton (Gossypium hirsutum L.) is the most important natural textile fiber crop grown worldwide. Several biotic and abiotic stress factors affect cotton yield due to lower genetic diversity for the traits of particular interest. Verticillium wilt (VW) is one of the major factors incurring huge cotton yield losses. The most effective management option against VW is the development of resistant cultivars. The resistant cultivars must also have superior fiber quality and yield traits. Therefore, the current study was aimed at screening some of the identified simple sequence repeats (SSR) markers for VW resistance and fiber quality traits of cotton genotypes in Turkey. Fifty different cultivars were screened with 30 SSR markers. Polymerase chain reaction (PCR) was conducted to amplify the SSR markers. The amplified bands were scored as 0 or 1 for absence and presence, respectively. For the molecular data analysis, polymorphism information content (PIC) values of molecular markers were calculated. Among tested SSR markers 13 were found polymorphic, which produced a total of 677 loci. The number of alleles per marker ranged from 1 to 4 and, overall average PIC values of markers ranged from 0.00 to 0.76, respectively. Principal component analysis executed on presence absence data yielded two distinct groups of cultivars screened. Hierarchical clustering revealed low genetic diversity among the tested cultivars. Based on the results TamcotCamdES, Gloria, Natalia, Lydia, Teks, Tamcot SP37H, N87 and BA525 are the promising cultivars for further breeding studies. The results of the current study also revealed that 4 SSR markers (DPL752 and DPL322 for fiber traits, DPL0022 and GH215 for VW resistance) out of 30 could be used for improving VW resistance and fiber quality in cotton through marker assisted selection.

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Assessment of Genetic Diversity of Philippine Rice Cultivars Carrying Good Quality Traits using SSR Markers

Breeding Science ◽

10.1270/jsbbs.57.263 ◽

2007 ◽

Vol 57 (4) ◽

pp. 263-270 ◽

Cited By ~ 36

Author(s):

Victoria C. Lapitan ◽

Darshan S. Brar ◽

Toshinori Abe ◽

Edilberto D. Redoña

Keyword(s):

Genetic Diversity ◽

Ssr Markers ◽

Quality Traits ◽

Rice Cultivars

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Study of Parental Polymorphism and Allelic Variation for Grain Quality and Yield Traits in Rice (Oryza sativa L.) Using SSR Markers

International Journal of Plant & Soil Science ◽

10.9734/ijpss/2021/v33i2430761 ◽

2021 ◽

pp. 136-149

Author(s):

Sanket Rathi ◽

Sameer Upadhyay ◽

P. K. Singh ◽

Rajesh Kumar ◽

Pallavi . ◽

...

Keyword(s):

Ssr Markers ◽

Grain Quality ◽

Allelic Variation ◽

Oryza Sativa L ◽

Eating Quality ◽

Yield Traits ◽

Polymorphic Markers ◽

Plant Breeding Institute ◽

Ctab Method ◽

Cooking And Eating Quality

Aim: Identification of polymorphic markers is prerequisite for conducting any QTL mapping experiment because if the parents are polymorphic for the traits of interest, then further selection of plants in the progenies becomes easy. Hence, the objective of the present study was to identify polymorphic markers for grain quality and yield traits among the parental lines Improved Samba Mahsuri and Badshabhog. Place and Duration of Study: It was carried out at Molecular Breeding Lab, Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi - 221 005, India, during 2019. Methodology: Two parents Improved Samba Mahsuri and Badshabhog were used for the present study. The DNA extraction was done as per the CTAB method suggested by Murray and Thompson. Standard PCR protocol was followed. Results: For parental polymorphism survey, a total of 576 randomly selected SSR markers including 26 gene specific markers related to aroma, cooking and eating quality, grain dimension and yield related traits distributed across the 12 chromosomes of rice were used. Overall, 96 markers including 4 gene specific markers were found to be polymorphic between the two genotypes indicating a total polymorphism percentage of 16.67%. The highest polymorphism percentage was recorded on chromosome 6 (26.67%) followed by chromosome 4 (21.43%) and the lowest polymorphism percentage was observed on chromosome 10 (8.93%). The gene specific markers nksbad2, ARO7, BADEX7_5 and SSI were found to be polymorphic. Conclusion: Based on the present study it may be concluded that the polymorphic markers identified will further be utilized in genotyping of F2:3 population, linkage analysis and mapping QTL’s for grain quality and yield traits.

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