Molecular Marker-Assisted Selection: A Tool for Insulating Parental 
 Lines of Hybrid Rice Against Bacterial Leaf Blight

Shanti, M.; Devi, G. Lalitha; Kumar, G. Naveen; Shashidhar, H. E.

doi:10.3923/ijpp.2010.114.123

Cited by 28 publications

(19 citation statements)

References 7 publications

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“…Symptoms prevailing in crop at vegetative stage are known as Kresek while at generative stage are named as blight (Suparyono et al, 2004;Akhtar et al, 2008). Bacterial leaf blight disturbs the emergence of panicles and grain filling which leads to low production (Shanti et al, 2010;Khan et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Investigation of bacterial leaf blight of rice through various detection tools and its impact on crop yield in Punjab, Pakistan

Shaheen¹,

Shrif²,

Amrao³

et al. 2018

PAK.J.BOT.

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Bacterial blight caused by Xanthomonas oryzae pv. oryzae (Xoo) is an important bacterial disease in rice leading to heavy yield and economic losses. In current investigation, the rice leaf samples from infested regions were screened for Xoo strains linked to incidence of this disease. Subsequently, 17 different isolates were identified based on Gram staining, KOH assay and PCR analysis. Moreover, the percentage diseases incidence and weight loss of 1000-grains of each sample from four zones of rice production were recorded. Both biochemical test exhibited red stained and rod like Gram-ve bacteria. In addition, the molecular recognition by means of a 16S rRNA universal primer revealed DNA amplification in 15 out of 17 isolates which confirmed the pathogen as "Xoo". The data assessed for disease incidence in all investigated districts ranged between 70.12%-49.23%. While, the maximum and minimum weight losses of 17.84% and 11.17% from Sialkot and Narowal were recorded respectively. The application of such tools for Xoo detection and its impact on crop yield are contested in this investigation.

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Section: Introductionmentioning

confidence: 99%

Investigation of bacterial leaf blight of rice through various detection tools and its impact on crop yield in Punjab, Pakistan

Shaheen¹,

Shrif²,

Amrao³

et al. 2018

PAK.J.BOT.

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“…So far, MAS has been used in rice mainly to introgress the favourable alleles of genes involved in resistance to diseases and pests. In India and the Philippines, bacterial blight (BB) resistance alleles of genes Xa4, xa5, xa13 and Xa21 have been successfully introgressed into hybrid rice KMR3, PRR78, IR58025B and Pusa 6B (Shanti et al, 2010). Different combinations of favourable alleles of either two or three resistance genes have also been incorporated into elite varieties using MAS, providing high level of resistance to ten highly virulent bacterial isolates (Singh et al, 2001;Leung et al, 2004;Agarcio et al, 2007;Borines et al, 2008;Collard and Mackill, 2008;Perez et al, 2008;Sundaram et al, 2008Sundaram et al, , 2009Vera Cruz et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Integration of molecular markers in rice improvement: a case study on resistance to Rice yellow mottle virus .

Ndjiondjop¹,

Albar²,

Sow³

et al. 2013

Realizing Africa's Rice Promise

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to be limited in comparison with the number of publications that report genetic linkage between markers and genes of interest. This may be explained by the delay observed in the theoretical development of a methodology and its practical outputs or absence of information on the methodology used (Collard and Mackill, 2008). Van Damme et al. (2011) hypothesize that it may result from a lack of access to the information in some developing countries and these authors therefore developed a database that synthesizes all the markers available for MAS in 19 species. Rice, the staple food of half of the world's population, has two cultivated species, Oryza sativa that originated from Asia and is cultivated worldwide, and Oryza glaberrima, which is endemic to Africa. Oryza sativa is high yielding, but lacks sources of resistance to some strains of rice diseases and insect pests specific to African rice-cropping agro-ecosystems. Conversely, O. glaberrima is low yielding, shatters spontaneously and has few panicle branches, but often constitutes a source of resistance to African pests and diseases. Some of its 'rustic' characteristics were successfully transferred into

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“…Yield losses due to the disease varies between 15 and 80% depending on the crop stage when the disease arises (Reddy and Shang-zhi, 1989;Shanti et al, 2010). Qi (2009) reported in summer and autumn of 2005, epidemics of BLB were observed in China severely affecting about 28,000 hectares paddy fields (occupying 16.8% of the total rice cultivation area).…”

Section: Introductionmentioning

confidence: 99%

“…Symptoms occurred in rice crop at vegetative phase called kresek and occurred at generative phase called blight (Suparyono et al, 2004). Pathogen infection causes leaf photosynthetic function disrupted so infected plants produce more empty grains than healthy plants (Suparyono et al, 2004;Shanti et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

COMPOSITION AND DISTRIBUTION OF Xanthomonas oryzae pv. oryzae PATHOTYPES, THE PATHOGEN OF RICE BACTERIAL LEAF BLIGHT IN INDONESIA

Sudir¹,

Yuliani²

2016

Agrivita.J.Agr.Sci

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This research aimed to determine the composition and pathotype distribution of Xanthomonas oryzae pv. oryzae (Xoo) in several rice producing centers in Indonesia during the growing season of 2010-2013. The studies were conducted into three phases of activities, namely: sampling and collection of infected leaves from the representative rice growing areas; isolation and purification of the Xoo isolates; and evaluation of composition and pathotype of Xoo on five rice differential varieties. Results indicated that a total of 2,658 isolates Xoo have been isolated from 10 provinces representing rice ecosystem in Indonesia during the growing season from 2010-2013. Evaluating these Xoo isolates against five differential varieties revealed that these Xoo isolates consisted of three pathotypes III, IV, and VIII with a total of 30, 36, and 34%, respectively. The data also indicated that two pathotypes III and IV were dominant in three provinces, while the pathotype VIII was dominant in four provinces. As mentioned previously, such information are useful in designing strategy of integrating components of technologies combined in the management of Bacterial leaf blight (BLB) occurrences in a particular endemic areas.

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Molecular Marker-Assisted Selection: A Tool for Insulating Parental Lines of Hybrid Rice Against Bacterial Leaf Blight

Cited by 28 publications

References 7 publications

Investigation of bacterial leaf blight of rice through various detection tools and its impact on crop yield in Punjab, Pakistan

Investigation of bacterial leaf blight of rice through various detection tools and its impact on crop yield in Punjab, Pakistan

Integration of molecular markers in rice improvement: a case study on resistance to Rice yellow mottle virus .

COMPOSITION AND DISTRIBUTION OF Xanthomonas oryzae pv. oryzae PATHOTYPES, THE PATHOGEN OF RICE BACTERIAL LEAF BLIGHT IN INDONESIA

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