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| 1 | Variation among poplar clones for growth and crown traits under field conditions at two sites of North-western India显示文摘We evaluated the growth and crown traits of 36 poplar clones at two distinct agro-climatic regions of Punjab (Ludhiana and Bathinda) in northwestern India, following randomized block design with three replications and plot size of four trees. Significant differences among clones (p<0.001) were observed for diameter at breast height (DBH), tree height, volume, crown width and number of branches under both the site conditions. Clones 'G-3', '25-N' and '41-N' at Ludhiana and 'G-3', 'RD-01' and 'S 7 C 8 ' at Bathinda were found to be superior for volume production. All growth and crown traits registered significantly higher values at Ludhiana in comparison to those at Bathinda. Clone × site interaction was also significant (p<0.001). For volume, clones 'L-62/84', '113520', '25-N' and 'S 4 C 2 ' witnessed huge fluctuations in ranking between sites. The correlations between growth traits were positive and highly significant (p<0.001) at both sites. The clonal mean heritability was moderate for DBH and volume both at Ludhiana (0.61 0.66) and Bathinda (0.61 0.62). Across sites, the genetic advance was the highest for volume (49.76%) and the lowest (6.50%) in case of height. | G.P.S. Dhillon Avtar Singh D.S. Sidhu H.S. Brar | 2013 | Journal of Forestry Research2013，24，1： | 5 |
| 2 | Soil aggregation and distribution of carbon and nitrogen in different fractions under long-term application of compost in rice–wheat system显示文摘 | G.P.S. Sodhi V. Beri D.K. Benbi | 2008 | Soil & Tillage Research2008，，2： | 2 |
| 3 | Tumor Homing Peptides as Molecular Probes for Cancer Therapeutics, Diagnostics and Theranostics显示文摘 | A. Gautam P. Kapoor K. Chaudhary R. Kumar Open Source Drug Discovery Consortium G.P.S. Raghava | 2014 | Current Medicinal Chemistry2014，，21： | 1 |
| 4 | VICMpred: An SVM-based Method for the Prediction of Functional Proteins of Gram-negative Bacteria Using Amino Acid Patterns and Composition显示文摘In this study, an attempt has been made to predict the major functions of gram- negative bacterial proteins from their amino acid sequences. The dataset used for training and testing consists of 670 non-redundant gram-negative bacterial proteins (255 of cellular process, 60 of information molecules, 285 of metabolism, and 70 of virulence factors). First we developed an SVM-based method using amino acid and dipeptide composition and achieved the overall accuracy of 52.39% and 47.01%, re- spectively. We introduced a new concept for the classification of proteins based on tetrapeptides, in which we identified the unique tetrapeptides significantly found in a class of proteins. These tetrapeptides were used as the input feature for predict- ing the function of a protein and achieved the overall accuracy of 68.66%. We also developed a hybrid method in which the tetrapeptide information was used with amino acid composition and achieved the overall accuracy of 70.75%. A five-fold cross validation was used to evaluate the performance of these methods. The web server VICMpred has been developed for predicting the function of gram-negative bacterial proteins (http://gffzz8ad4044adc1743achwvb0p5u9vkbn6nn5.ffgz.tsg.suse.edu.cn/raghava/vicmpred/). | Sudipto Saha G.P.S. Raghava | 2006 | Genomics, Proteomics & Bioinformatics2006，4，1： | 1 |
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