Grouping of Rice Genotypes Based on Grain Iron, Zinc, Manganese and Protein and Performance Measurement of Linked Microsatellite Markers

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NASIRI ELHAM; SABOURI ATEFEH; FORGHANI AKBAR; ESFAHANI MASOUD

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Journal: JOURNAL OF PLANT GENETIC RESEARCH Year:2018 | Volume:5 | Issue:2 Page(s): 73-84

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Information Journal Paper

Title

Grouping of Rice Genotypes Based on Grain Iron, Zinc, Manganese and Protein and Performance Measurement of Linked Microsatellite Markers

Author(s)

NASIRI ELHAM | SABOURI ATEFEH | FORGHANI AKBAR | ESFAHANI MASOUD | Issue Writer Certificate

Keywords

RiceQ2

Cluster analysisQ1

AerobicQ1

Biochemical elementsQ1

LowlandQ1

Abstract

In order to select the best parents for crossings, plant breeders seek varieties or genotypes with highest genetic dissimilarities. This can be achieved by measuring the similarities among genotypes, using multivariate analysis methods such as Cluster analysis. This study aimed to group 50 Aerobic and Lowland Rice genotypes based on biochemical characteristics including Iron, Zinc, Manganese and protein, and their linked DNA markers. According to the Cluster analysis results using Ward method, the genotypes were assigned to four groups. The third group, as the smallest group including three genotypes (IR82635-B-B-82-2, Caiapo, and Gohar), had the highest value for these micronutrients. Their mean value for Iron, Zinc, Manganese, and protein were 32. 39, 34. 15, 25. 66 mg/kg and 6. 71%, respectively. Also, all genotypes were classified into two main groups based on microsatellite markers information, that according to QTL mapping studies these markers were identified as linked to elements. So, the most of non-local genotypes and Aerobic Rice cultivars were assigned in a separate group. The correlation between Euclidean distance of elements and protein matrix and genetic similarity matrix (Nie) using Mental correlation test was estimated significant (p<0. 01) that can be evidence of a genetic relationship between the SSR markers and genome controlling regions of elements in this population.

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APA: Copy

NASIRI, ELHAM, SABOURI, ATEFEH, FORGHANI, AKBAR, & ESFAHANI, MASOUD. (2018). Grouping of Rice Genotypes Based on Grain Iron, Zinc, Manganese and Protein and Performance Measurement of Linked Microsatellite Markers. JOURNAL OF PLANT GENETIC RESEARCH, 5(2 ), 73-84. SID. https://sid.ir/paper/384963/en

Vancouver: Copy

NASIRI ELHAM, SABOURI ATEFEH, FORGHANI AKBAR, ESFAHANI MASOUD. Grouping of Rice Genotypes Based on Grain Iron, Zinc, Manganese and Protein and Performance Measurement of Linked Microsatellite Markers. JOURNAL OF PLANT GENETIC RESEARCH[Internet]. 2018;5(2 ):73-84. Available from: https://sid.ir/paper/384963/en

IEEE: Copy

ELHAM NASIRI, ATEFEH SABOURI, AKBAR FORGHANI, and MASOUD ESFAHANI, “Grouping of Rice Genotypes Based on Grain Iron, Zinc, Manganese and Protein and Performance Measurement of Linked Microsatellite Markers,” JOURNAL OF PLANT GENETIC RESEARCH, vol. 5, no. 2 , pp. 73–84, 2018, [Online]. Available: https://sid.ir/paper/384963/en

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