Marker-assisted breeding of Chinese elite rice cultivar 9311 for disease resistance to rice blast and bacterial blight and tolerance to submergence

Marker-assisted breeding of Chinese elite rice cultivar 9311 for disease resistance to rice blast... Rice (Oryza sativa L.) is the staple food crop for more than half of the world’s population. The development of hybrid rice is a practical approach to increase rice production. However, rice production was frequently affected by biotic and abiotic stresses. Rice blast and bacterial blight are two major diseases in rice growing regions. Rice plantation is also frequently affected by short-term submergence or seasonal floods in wet seasons and drought in dry seasons. The utilization of natural disease resistance (R) genes and stress tolerance genes in rice breeding is the most economic and efficient way to combat or adapt to these biotic and abiotic stresses. Rice cultivar 9311 is widely planted rice variety, either as inbred rice or the paternal line of two-line hybrid rice. Here, we report the pyramiding of rice blast R gene Pi9, bacterial blight R genes Xa21 and Xa27, and submergence tolerance gene Sub1A in 9311 genetic background through backcrossing and marker-assisted selection. The improved rice line, designated as 49311, theoretically possesses 99.2% genetic background of 9311. 49311 and its hybrid rice, GZ63S/49311, conferred disease resistance to rice blast and bacterial blight and showed tolerance to submergence for over 18 days without significant loss of viability. 49311 and its hybrids had similar agronomic traits and grain quality to 9311 and the control hybrid rice, respectively. The development of 49311 provides an improved paternal line for two-line hybrid rice production with disease resistance to rice blast and bacterial blight and tolerance to submergence. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Molecular Breeding Springer Journals

Marker-assisted breeding of Chinese elite rice cultivar 9311 for disease resistance to rice blast and bacterial blight and tolerance to submergence

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Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer Science+Business Media B.V.
Subject
Life Sciences; Plant Sciences; Plant Genetics and Genomics; Plant Pathology; Plant Physiology; Biotechnology
ISSN
1380-3743
eISSN
1572-9788
D.O.I.
10.1007/s11032-017-0695-8
Publisher site
See Article on Publisher Site

Abstract

Rice (Oryza sativa L.) is the staple food crop for more than half of the world’s population. The development of hybrid rice is a practical approach to increase rice production. However, rice production was frequently affected by biotic and abiotic stresses. Rice blast and bacterial blight are two major diseases in rice growing regions. Rice plantation is also frequently affected by short-term submergence or seasonal floods in wet seasons and drought in dry seasons. The utilization of natural disease resistance (R) genes and stress tolerance genes in rice breeding is the most economic and efficient way to combat or adapt to these biotic and abiotic stresses. Rice cultivar 9311 is widely planted rice variety, either as inbred rice or the paternal line of two-line hybrid rice. Here, we report the pyramiding of rice blast R gene Pi9, bacterial blight R genes Xa21 and Xa27, and submergence tolerance gene Sub1A in 9311 genetic background through backcrossing and marker-assisted selection. The improved rice line, designated as 49311, theoretically possesses 99.2% genetic background of 9311. 49311 and its hybrid rice, GZ63S/49311, conferred disease resistance to rice blast and bacterial blight and showed tolerance to submergence for over 18 days without significant loss of viability. 49311 and its hybrids had similar agronomic traits and grain quality to 9311 and the control hybrid rice, respectively. The development of 49311 provides an improved paternal line for two-line hybrid rice production with disease resistance to rice blast and bacterial blight and tolerance to submergence.

Journal

Molecular BreedingSpringer Journals

Published: Aug 4, 2017

References

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