To Analyze Sequence against the Rice Repeat Database VIA Known Repeats & Transposes DNA
Zuhair Hasnain1, Naila Rozi2
1Zuhair Hasnain, Department of Agronomy, University College of Agriculture, Bahauddin Zakariya University, Multan, Pakistan.
2Naila Rozi, Sir Syed University of Engineering &Technology, Karachi, Pakistan.
Manuscript received on March 20, 2013. | Revised Manuscript received on April 10, 2013. | Manuscript published on April 30, 2013. | PP: 168-171 | Volume-2, Issue-4, April 2013. | Retrieval Number: D1336042413/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Rice ESTs and FL-cDNAs and transcript assemblies (PUTs) from the Plant GDB were aligned to the pseudomolecules using gmap. Only the FL-cDNA and PUTs alignments are shown in the browser. Only the EST and FL-cDNA alignments were used for gene model improvement by PASA. We search sequence against a rice repeat database to identify known repeats and transpose’s (DNA transposes’, retroelements, MITEs, etc). To analyze the growth and yield response of rice under different sowing dates and split nitrogen application, a field study was conducted at farmer’s field Punjab Pakistan during Kharif season 2011. The study revealed that N in split form had no significant effect on yield the yield components of rice while early-sowing is considered suitable for farmers under agro-ecological conditions of Punjab Pakistan.
Keywords: Rice repeat DNA sequences, Transplanting time, Nitrogen, Yield and Yield components.