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Vikas Kumar Singh,Priti Upadhyay,Pallavi Sinha,Ashish Kumar Mall,Ranjith K. Ellur,Atul Singh,Sanjay K.Jaiswal,Sunil Biradar,S. Ramakrishna,R.M. Sundaram,Ilyas Ahmed,B. C. Viraktamath,C. Kole,Sukhpal S 한국작물학회 2011 Journal of crop science and biotechnology Vol.14 No.1
A total of six TGMS (thermosensitive genic male sterile lines) and nine pollinator lines were subjected to molecular characterization using 48 genome-wide SSR (simple sequence repeat) markers. Cluster analysis revealed clear differentiation among the TGMS lines according to their source of origin. The SSR-based genetic distance between the hybrids of the parental lines ranged from 0.36to 0.79 suggesting a high degree of genetic divergence. Among a set of 54 hybrids generated using parental lines, 32 showed better parent heterosis (+21.7%) while 19 showed mid-parent heterosis (+15.0%). For the trait yield per plant genetic distance (GD) was negatively correlated with F1 performance (r = -0.202), mid-parent heterosis (r = -0.325*; P < 0.05), and better parent heterosis (r = -0.261), while it was positively correlated with specific combining ability (r = 0.042). Based on the grouped genetic distance (GGD),the hybrid combinations were divided into four groups. The GGD showed linear correlation with hybrid performance within the group (GGD = 40 - 50: r = -0.07; GGD = 70 - 80: r = 0.32). This information can be utilized in the development of higher yielding,two-line rice hybrids through selection of intermediately diverse parental lines using GGD.
Singh, Vikas Kumar,Upadhyay, Priti,Sinha, Pallavi,Mall, Ashish Kumar,Ellur, Ranjith K.,Singh, Atul,Jaiswal, Sanjay K.,Biradar, Sunil,Ramakrishna, S.,Sundaram, R.M.,Ahmed, Ilyas,Viraktamath, B.C.,Kole, 한국작물학회 2011 Journal of crop science and biotechnology Vol.14 No.1
A total of six TGMS (thermosensitive genic male sterile lines) and nine pollinator lines were subjected to molecular characterization using 48 genome-wide SSR (simple sequence repeat) markers. Cluster analysis revealed clear differentiation among the TGMS lines according to their source of origin. The SSR-based genetic distance between the hybrids of the parental lines ranged from 0.36 to 0.79 suggesting a high degree of genetic divergence. Among a set of 54 hybrids generated using parental lines, 32 showed better parent heterosis (+21.7%) while 19 showed mid-parent heterosis (+15.0%). For the trait yield per plant genetic distance (GD) was negatively correlated with $F_1$ performance (r = -0.202), mid-parent heterosis (r = $-0.325^*$; P < 0.05), and better parent heterosis (r = -0.261), while it was positively correlated with specific combining ability (r = 0.042). Based on the grouped genetic distance (GGD), the hybrid combinations were divided into four groups. The GGD showed linear correlation with hybrid performance within the group (GGD = 40 - 50: r = -0.07; GGD = 70 - 80: r = 0.32). This information can be utilized in the development of higher yielding, two-line rice hybrids through selection of intermediately diverse parental lines using GGD.
Spatial clustering of Plasmodium falciparum in Bihar (India) from 2007 to 2015
Gouri Sankar Bhunia,Niyamat Ali Siddiqui,Department of Biostatistics,Nandini Chatterjee,Sanjay Kumar Sinha 대한공간정보학회 2016 Spatial Information Research Vol.24 No.6
Malaria is the leading cause of morbidity and mortality in Bihar (India), and concomitant with the spatial and temporal discrepancy throughout the region. Present study aims to determine the changes in spatial distribution of Plasmodium falciparum in Bihar from year 2007–2015. We used Moran’s I indices and Getis-Ord Gi* statistics to determine the spatial clustering pattern of malaria. The highest variability of disease distribution was observed in 2009. The maximum spatial autocorrelation value was calculated in 2011 (Moran’s I = 0.62, p\0.00001). Results of cluster-outlier analysis showed significant high– high clustered. Plasmodium falciparum were spread in the western part of the state from 2007 to 2015. Most of the hotspot districts were observed in the south-west corner of the state. Furthermore, temporal disparities in malaria incidence were also observed. There is an intense change in the spatial clustering pattern of P. falciparum malaria within a 9-year period. Malaria hot spots are exhibited as risk maps that are valuable for observing and spatial targeting of deterrence and control actions against the disease.