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    28 January 2017, Volume 24 Issue 1 Previous Issue    Next Issue

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    Orginal Article
    Evaluation of Protocols for Measuring Leaf Photosynthetic Properties of Field-Grown Rice
    Tian-gen Chang, Chang-peng Xin, Ming-nan Qu, Hong-long Zhao, Qing-feng Song, Xin-guang Zhu
    2017, 24(1): 1-9.  DOI: 10.1016/j.rsci.2016.08.007
    Abstract ( )   HTML ( )   PDF (949KB) ( )  

    Largely due to the heterogeneity of environmental parameters and the logistical difficulty of moving photosynthetic equipment in the paddy fields, effective measurement of lowland rice photosynthesis is still a challenge. In this study, we showed that measuring detached rice leaves in the laboratory can not effectively represent the parameters measured in situ. We further described a new indoor facility, high-efficiency all-weather photosynthetic measurement system (HAPS), and the associated measurement protocol to enable whole-weather measurement of photosynthetic parameters of rice grown in the paddy fields. Using HAPS, we can conduct photosynthetic measurements with a time span much longer than that appropriate for the outdoor measurements. Comparative study shows that photosynthetic parameters obtained with the new protocol can effectively represent the parameters in the fields. There was much less standard deviation for measurements using HAPS compared to the outdoor measurements, no matter for technical replications of each recording or for biological replications of each leaf position. This new facility and protocol enables rice photosynthetic physiology studies to be less tough but more efficient, and provides a potential option for large scale studies of rice leaf photosynthesis.

    Genetic Diversity Analysis of Rice Germplasm in Tripura State of Northeast India Using Drought and Blast Linked Markers
    Anupam Alpana, Imam Jahangir, Mohammad Quatadah Syed, Siddaiah Anantha, Prasad Das Shankar, Variar Mukund, Prasad Mandal Nimai
    2017, 24(1): 10-20.  DOI: 10.1016/j.rsci.2016.07.003
    Abstract ( )   HTML ( )   PDF (702KB) ( )  

    We genotyped 74 rice germplasms including Tripura’s local landraces, improved varieties, cultivars and breeding lines and other rice varieties using molecular markers for genetic diversity, drought QTLs, and blast resistance genes. The number of alleles per locus ranged from 2 to 5 with an average of 2.9. The polymorphic information content value per locus ranged from 0.059 (RM537) to 0.755 (RM252) with an average of 0.475. Cluster analysis based on 30 simple sequence repeat markers revealed 5 clusters and also indicated the presence of variability within the rice accessions. The drought QTL qDTY2.1 was found in 56.0% of germplasms and qDTY1.1 was detected in only 6.8% of the germplasms. Out of seven rice blast resistance genes screened, only two rice varieties, RCPL-1-82 and Buh Vubuk (Lubuk), were positive for four blast resistance genes while only Releng possessed two blast resistance genes. Among 74 rice germplasms, only three accessions, Releng, RCPL1-82 and Buh Vubuk (Lubuk), possessed both drought-related QTLs and blast resistance genes. Overall, the 74 indigenous rice genotypes showed low level of genetic diversity, which is in contrast to high level of genetic diversity among rice varieties in northeast India, where highlights the good farming practice, conservation of germplasms and the limitation of molecular markers employed in this study. The presence of both drought related QTLs and blast resistance genes in some of the germplasms can be useful in future breeding programmes.

    Proximate Composition, Mineral Content and Fatty Acids Analyses of Aromatic and Non-Aromatic Indian Rice
    Kumar Verma Deepak, Prakash Srivastav Prem
    2017, 24(1): 21-31.  DOI: 10.1016/j.rsci.2016.05.005
    Abstract ( )   HTML ( )   PDF (329KB) ( )  

    Awareness on nutritive value and health benefits of rice is of vital importance in order to increase the consumption of rice in daily diet of the human beings. In this study, a total of six aromatic and two non-aromatic rice accessions grown in India were analysed for their nutritional quality attributes including proximate composition, mineral contents and fatty acids. Data with three replications were used to measure Pearson’s simple correlation co-efficient in order to establish the relationship among various nutritional quality attributes. The result on proximate composition showed that Govind Bhog had the highest moisture (13.57%) and fat (0.92%) content, which signifies its tasty attribute. Badshah Bhog exhibited the highest fibre content (0.85%), carbohydrate content (82.70%) and food energy (365.23 kCal per 100 g). Among the minerals, the higher Ca (98.75 mg/kg), Zn (17.00 mg/kg) and Fe (31.50 mg/kg) were in Gopal Bhog, whereas the highest Na (68.85 mg/kg) was in Badshah Bhog, the highest K (500.00 mg/kg) was in Swetganga, Khushboo and Sarbati. The highest contents of unsaturated fatty acids viz. oleic acid (49.14%), linoleic acid (46.99%) and linolenic acid (1.27%) were found in Sarbati, whereas the highest content of saturated fatty acids viz. myristic acid (4.60%) and palmitic acid (31.91%) were found in Govind Bhog and stearic acid (6.47%) in Todal. The identified aromatic rice accessions Gopal Bhog, Govind Bhog and Badshah Bhog and non-aromatic rice accession Sarbati were found nutritionally superior among all eight tested accessions. The nutritional quality oriented attributes in this study were competent with recognized prominent aromatic and non-aromatic rice accessions as an index of their nutritional worth and recommend to farmers and consumers which may be graded as export quality rice with good unique nutritional values in international market.

    Introgression of QTLs Controlling Spikelet Fertility Maintains Membrane Integrity and Grain Yield in Improved White Ponni Derived Progenies Exposed to Heat Stress
    Vivitha P., Raveendran M., Vijayalakshmi D.
    2017, 24(1): 32-40.  DOI: 10.1016/j.rsci.2016.05.006
    Abstract ( )   HTML ( )   PDF (556KB) ( )  

    To increase the thermotolerance of improved White Ponni (IWP), two quantitative trait loci (QTLs), qHTSF1.1 and qHTSF4.1, controlling spikelet fertility under high-temperature stress, were introgressed from Nagina 22 into IWP through marker-assisted breeding. The progenies were subjected to foreground selection of target QTLs using simple sequence repent markers RM431 and RM5757 linked to qHTSF1.1 and qHTSF4.1, respectively. At each generation, foreground selection with single target QTL or both QTLs was done together. The QTL-positive plants were forwarded to next generation by selfing. The F2:3 progenies were subjected to phenotypic analyses under high-temperature stress at the flowering stage. Chlorophyll stability index, malondialdehyde content, grain yield, and yield-related components of the F2:3 progenies were measured. The progenies IWP-295, IWP-277 and IWP-246 harboring both qHTSF1.1 and qHTSF4.1 showed higher fertility percentages under high-temperature stress at the flowering stage. These QTLs were responsible for maintaining membrane integrity and yield under elevated temperature conditions.

    Molecular Screening of Blast Resistance Genes in Rice Germplasms Resistant to Magnaporthe oryzae
    Yan Liang, Bai-yuan Yan, Yun-liang Peng, Zhi-juan Ji, Yu-xiang Zeng, Han-lin Wu, Chang-deng Yang
    2017, 24(1): 41-47.  DOI: 10.1016/j.rsci.2016.07.004
    Abstract ( )   HTML ( )   PDF (558KB) ( )  

    Molecular screening of major rice blast resistance genes was determined with molecular markers, which showed close-set linkage to 11 major rice blast resistance genes (Pi-d2, Pi-z, Piz-t, Pi-9, Pi-36, Pi-37, Pi5, Pi-b, Pik-p, Pik-h and Pi-ta2), in a collection of 32 accessions resistant to Magnaporthe oryzae. Out of the 32 accessions, the Pi-d2 and Pi-z appeared to be omnipresent and gave positive express. As the second dominant, Pi-b and Piz-t gene frequencies were 96.9% and 87.5%. And Pik-h and Pik-p gene frequencies were 43.8% and 28.1%, respectively. The molecular marker linkage to Pi-ta2 produced positive bands in eleven accessions, while the molecular marker linkage to Pi-36 and Pi-37 in only three and four accessions, respectively. The natural field evaluation analysis showed that 30 of the 32 accessions were resistant, one was moderately resistant and one was susceptible. Infection types were negatively correlated with the genotype scores of Pi-9, Pi5, Pi-b, Pi-ta2 and Pik-p, although the correlation coefficients were very little. These results are useful in identification and incorporation of functional resistance genes from these germplasms into elite cultivars through marker-assisted selection for improved blast resistance in China and worldwide.

    Starch Digestibility and Physicochemical and Cooking Properties of Irradiated Rice Grains
    Fernando Polesi Luís, Divino da Matta Junior Manoel, Bruder Silveira Sarmento Silene, Guidolin Canniatti-Brazaca Solange
    2017, 24(1): 48-55.  DOI: 10.1016/j.rsci.2016.07.005
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    This study evaluated the starch digestibility, physicochemical properties and cooking characteristics of polished rice (varieties IRGA417 and IAC202) subjected to the doses of 0 (as the control), 1, 2 and 5 kGy of gamma radiation. The highest dose decreased the apparent amylose content, peak viscosity, water absorption and volume expansion. Irradiation increased the solid loss by 119% and 187% for IAC202 and IRGA417, respectively, when comparing the higher dose with the control. For IAC202, irradiation decreased the rapidly digestible starch and increased the slowly digestible starch (SDS) and resistant starch (RS). IRGA417 showed an elevation of SDS and a reduction in RS. And 1 kGy dose of gamma radiation generated the highest level of RS for both the two varieties and presented the smallest changes in other physicochemical and cooking properties.

    Test of Small RNA Sequencing Repeatability in Rice
    Hong-zheng Sun, Ting Peng, Jing Zhang, Jun-zhou Li, Yan-xiu Du, Quan-zhi Zhao
    2017, 24(1): 56-60.  DOI: 10.1016/j.rsci.2016.06.008
    Abstract ( )   HTML ( )   PDF (540KB) ( )  

    Deep sequencing of small RNAs (sRNA) is widely used in sRNAs studies in plants. In order to investigate the sequencing frequency variation of sRNAs, the same sRNA samples from rice grains were sequenced twice using deep sequencing technique. The sRNAs were classified into three categories, high abundance (> 100 RPM), medium abundance (10-100 RPM) and low abundance (1-10 RPM). According to the repeat sequencing data of the same sample, highly expressed sRNAs (> 100 RPM) were less subject to random drift, and 95% of the sRNAs Log2 ratio between two samples fell between -0.649 and 0.558. The same trend was observed in mediumly expressed sRNAs (10-100 RPM), and 95% of the Log2 ratio fell between -0.535 and 0.759. As to lowly expressed sRNAs (1-10 RPM), 95% of the Log2 ratio varied between -1.009 and 1.011. These results can be used as a theoretical guide to find differentially expressed sRNAs in sRNA studies in plants.