Detection QTLs for grain quality traits and yield in two BILs population of rice

Detection QTLs for grain quality traits and yield in two BILs population of rice

 Abstract. Rice, the second most important crop after wheat, has been cultivated in Iran. Marketing conditions and quality traits after yield are the most important factors to adopt of new varieties. Therefore in recent years Iranian scientists decided to training on breeding improved high yield varieties with good grain quality.Quantitative trait loci (QTLs) yield and  grain quality traits of rice (Oryza sativa L.) with additive, epistatic, and QTL × environment (QE) interaction effects were studied using a mixed-model-based composite interval mapping (MCIM) method and two populations of Back cross inbred lines (BILs) with a common maternal parent.In each of the populations two or three main effects of QTLs were detected for yield, amylose content, gel consistency and gelatinization temperature. Some identified QTL clusters suggested pleiotropic effects could control these traits. The phenotypic variation of AAE and AA QTLs effects were smaller than main QTLs. We conclude that the major genes and some minor and modifier genes controlled rice grain quality and yield components. The information obtained in this study have used to manipulating the QTLs for these traits by molecular marker-assisted selection and the best lines with excellent quality and high yield recognized

Hosseini, Maryam

Houshmand, Saadolah

Mohamadi, Shahram

Tarang, Alireza

Khodambashi, Mahmod

Rahimsouroush, Hossein

Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter; Vol 1, No 1 (2011): Life Sciences

2089-208X

Syiah Kuala University

2011-12-15

http://jurnal.unsyiah.ac.id/AICS-SciEng/article/view/1911/1839

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eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article

http://jurnal.unsyiah.ac.id/AICS-SciEng/article/view/1911