Literature DB >> 35736683

Prediction of Heterosis for Agronomic Traits in Half-Diallel Cross of Rice (Oryza sativa L.) under Drought Stress Using Microsatellite Markers.

Khaled F M Salem1,2, Mousa A Alghuthaymi2, Abdelmoaty B Elabd3, Elsayed A Elabsawy4, Hossam H Mierah1.   

Abstract

Rice breeders are encouraged to classify potential F1-hybrids without crossing all viable mixtures by testing depending on genetic distance due to lack of labor and time in yield trials. The goals of this research were to establish heterosis and investigate the relationship between genomic distance and agronomic attributes under drought. Half-diallel mating design, 28 F1's and 8 parents were evaluated under drought and genotyped using 11 microsatellite markers. In total, 39 alleles were detected. Results indicated that the greatest heterotic effects for grain yield were observed in Sakha 103 × Sakha 104 and GZ7576-10-3-2-1 × Giza 179, which gave 29.32-22.57% heterosis, respectively. Heterosis for grain yield in these crosses occurred as a rise in panicle weight, filled grains per panicle, low sterility and 100-grain weight. Correlations of marker-based genetic distance with mid-parent heterosis were positively and significantly correlated with sterility percentage (r = 0.390 *, p < 0.05). However, better-parent heterosis was positively and significantly correlated with sterility percentage (r = 0.352 *, p < 0.05) and grain yield per plant (r = 0.345 *, p < 0.05). Associations indicate that high grain yield and low sterility of rice crosses can be expected from microsatellite marker-defined distances of parents. This study indicated that genetic distance is very effective for heterosis prediction in breeding programs.

Entities:  

Keywords:  F1-hybrids; agronomic traits; drought; genetic distance; heterosis; rice (Oryza sativa L.)

Year:  2022        PMID: 35736683      PMCID: PMC9229443          DOI: 10.3390/plants11121532

Source DB:  PubMed          Journal:  Plants (Basel)        ISSN: 2223-7747


  11 in total

1.  Use of DNA markers in prediction of hybrid performance and heterosis for a three-line hybrid system in rice.

Authors:  S P Joshi; S G Bhave; K V Chowdari; G S Apte; B L Dhonukshe; K Lalitha; P K Ranjekar; V S Gupta
Journal:  Biochem Genet       Date:  2001-06       Impact factor: 1.890

2.  High density molecular linkage maps of the tomato and potato genomes.

Authors:  S D Tanksley; M W Ganal; J P Prince; M C de Vicente; M W Bonierbale; P Broun; T M Fulton; J J Giovannoni; S Grandillo; G B Martin
Journal:  Genetics       Date:  1992-12       Impact factor: 4.562

3.  Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers.

Authors:  C W Stuber; S E Lincoln; D W Wolff; T Helentjaris; E S Lander
Journal:  Genetics       Date:  1992-11       Impact factor: 4.562

4.  A diallel analysis of heterosis in elite hybrid rice based on RFLPs and microsatellites.

Authors:  Q Zhang; Y J Gao; S H Yang; R A Ragab; M A Maroof; Z B Li
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

5.  Microsatellite DNA markers for rice chromosomes.

Authors:  H Akagi; Y Yokozeki; A Inagaki; T Fujimura
Journal:  Theor Appl Genet       Date:  1996-11       Impact factor: 5.699

6.  Analysis of population structure and genetic diversity of Egyptian and exotic rice (Oryza sativa L.) genotypes.

Authors:  Khaled F M Salem; Ahmed Sallam
Journal:  C R Biol       Date:  2015-12-23       Impact factor: 1.583

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

Authors:  Mohamed I Ghazy; Khaled F M Salem; Ahmed Sallam
Journal:  Mol Biol Rep       Date:  2020-12-10       Impact factor: 2.316

Review 8.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

9.  Genetic diversity and population structure of rice landraces from Eastern and North Eastern States of India.

Authors:  Basabdatta Das; Samik Sengupta; Swarup Kumar Parida; Bipasha Roy; Mrityunjay Ghosh; Manoj Prasad; Tapas Kumar Ghose
Journal:  BMC Genet       Date:  2013-08-15       Impact factor: 2.797

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