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“MAPPING QTL FOR TILLERING, NUMBER OF SPIKELETS AND GRAIN YIELD UNDER WATER STRESS AND NON-STRESS CONDITIONS IN RICE (Oryza sativa L.)” Ph.D. Thesis by Shubhnita Sahu DEPARTMENT OF PLANT MOLECULAR BIOLOGY AND BIOTECHNILOGY COLLEGE OF AGRICULTURE FACULTY OF AGRICULTURE INDIRA GANDHI KRISHI VISHWAVIDYALAYA RAIPUR (Chhattisgarh) 2016 “MAPPING QTL FOR TILLERING, NUMBER OF SPIKELETS AND GRAIN YIELD UNDER WATER STRESS AND NON-STRESS CONDITIONS IN RICE (Oryza sativa L.)” Thesis Submitted to the Indira Gandhi Krishi Vishwavidyalaya, Raipur by Shubhnita Sahu IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF Doctor of Philosophy in PLANT MOLECULAR BIOLOGY AND BIOTECHNOLOGY Roll No. 16928 ID No. 118104068 JULY, 2016 Acknowledgement After an intensive period of three & half years, today is the day: writing this note of thanks is the finishing touch on my thesis. It has been a period of intense learning for me, not only in the scientific arena, but also on a personal level. Writing this thesis has had a big impact on me. I shall ever, remain thankfully indebted to all those learned souls, my present and former teachers, known and unknown hands who directly or indirectly motivated me to achieve my goal and enlightened me with the touch of their knowledge and constant encouragement. I feel this is an extremely significant and joyous opportunity bestowed upon me by the goddess of learning, to think about and thank all those persons. I owe my heartfelt sincere gratitude to my major advisor,Dr. S. B. Verulkar, Professor, Department of Plant Molecular Biology and Biotechnology, IGKV, Raipur whose encouragement, supervision and support from the preliminary to the concluding level enabled me to develop an understanding of the subject. Words could not express my indebtedness to you sir. Most humbly and respectfully I wish to express my profound sense of gratitude to Dr. Shubha Banarjee ma’m, Assistant Professor, Department Plant Molecular Biology and Biotechnology, IGKV, Raipur for her valuable suggestions, motivation and perfect direction to my thesis as well as personal life. I am equally grateful to the another members of advisory committee Dr. Aarti Guhe H.O.D of Department of Plant Physiology, Agricultural Biochemistry and MAPS for providing me constant guidance and valuable suggestions, Dr. R. R. Saxsena Associate Professor, Department of Statistics, for his supportive attitude. My literal power is too less to express my thankfulness to respected teachers , Dr. Girish Chandel, Professor; Dr.(Smt) Zenu Jha, Professor; Dr. (Smt.) Archana S. Prasad Assistant Professor; Dr. (Smt.) Kanchan Bhan Assistant Professor, Department Plant Molecular Biology and Biotechnology for their valuable suggestions critical comments and kind help rendered as and when needed. I wish to record my sincere thanks to Dr. S.K. Patil, Hon’ble Vice Chancellor, Dr. J. S. Urkurkar Director Research Services and Dr. S. S. Shaw, Director of Instructions, Dr. S. S. Rao, Dean and Dr. Madhav Pandey Librarian IGKV, Raipur for their help both administrative and technical which facilitated my research work. I wish to express my sincere thanks to all my dear friends Pushpanjali, Ojaswi, Priyanka, Pritee, Ajit, Vinay, Swapnil and Manish for co-operation, help, encouragement and support. I feel pleasure in expressing my thanks. I extend my deepest thanks to my beloved seniors, colleagues Toshy ma’m, Mahima ma’m, Renu ma’m, Sweta ma’m and Rashmi upadhyay and juniors, Roshni, Sujata, Anjali, Joyti ma’m, Minakshi, Hemant, Datta, Swaraj, Pravin, shilpi, padmakshi and sashmita whose supports were valuable and very helpful to my research work. Unforgettable help and assistance throughout the course of this investigation by Mr. Manish Makrand, Moti, Rajesh bhaiya, Drupati, bhujkumari didi and others also deserve my sincere thanks. i At this inexplicable moment of joy, I deem it a proud privilege to recall all the cooperation and the contribution, spirited guidance critical counsel and inspiration of my husband Dr. Nemesh Kumar Sahu. It is like a drop in the ocean of words that can never reach its mark to acknowledge infinite love, blessings, sacrifices and constant encouragement of all my family members, my especially to younger brothers Nitin and Piyush and Yogita bhabhi, and father and mother in-law who have been the sole source of inspiration for me to proceed ahead in my life. I take this opportunity to dedicate this work to my beloved parents Mr.Brijbhushan Lal Sahu and Mrs. Dewhuti Sahu. Last but not the least, I thank all the individuals who have in one any way been associated with the completion of this work but have not been mentioned so far. Place: Raipur (Shubhnita Sahu) Date: ii CONTENTS Chapter PARTICULARS PAGE ACNOWLEDGEMENT i TABLE OF CONTENTS iii LIST OF TABLES vii LIST OF FIGURES ix LIST OF PLATE xi LIST OF APPENDICES xii LIST OF ABBREVIATIONS xiii ABSTRACT xv I INTRODUCTION 1-4 II REVIEW OF LITERATURE 5-38 2.1 Phenotypic assessment of segregating population for 6 grain yield and yield related traits under drought and irrigated condition. 2.2 Impact of drought on yield and yield contributing 8 characters 2.3 Genetic parameters for yield and yield related traits 9 2.3.1 Genetic variability 10 2.3.2 Heritability 12 2.3.3 Genetic advance 14 2.3.4 Correlation coefficients 15 2.3.5 Path analysis 18 2.4 Molecular approaches to improve grain yield 21 2.4.1 QTL mapping 21 2.4.1.1 Mapping population 21 2.4.1.2 Phenotyping of mapping population 22 2.4.1.3 High density linkage maps 22 2.4.1.4 Genetic map using microsatellites 25 2.4.1.5 Development of genotypic data based 26 on SSR marker 2.4.1.6 Statistical methods to detect QTLs 27 2.4.2 QTL x Environment interaction and common 29 QTLs across environments 2.4.3 Identification of QTL for grain yield and yield 29 component traits under irrigated and drought Conditions 2.5 Phytohormones 38 III MATERIALS AND METHODS 40-61 3.1 Development and evaluation of F & F RIL mapping 40 14 15 population 3.1.1 Experimental Materials Characteristic features of 40 iii Chapter PARTICULARS PAGE parent 3.2 Methods 43 3.2.1 Field Studies 43 3.2.2 Role of the hormone to regulate tillering and 48 tiller dynamics of rice 3.2.3 Observations recorded 48 3.2.3.1 Observations under field condition 48 3.2.4 Statistical analysis 49 3.2.4.1 Analysis of variance 50 3.2.4.2.1 Mean 50 3.2.4.2.2 Range 51 3.2.5 Genetic analysis 51 3.2.5.1 Heritability 51 3.2.5.2 Standard deviation 51 3.2.5.3 Character association 52 3.2.5.3.1 Correlation coefficient 52 3.2.5.3.2 Genotypic and Phenotypic 52 Coefficient of Variation 3.2.5.3.3 Genetic advance 52 3.2.5.3.3.1 Expected Genetic Advance 52 3.2.5.3.3.2 Genetic Advance as 53 Percentage of Mean 3.2.6 Molecular studies 53 3.2.6.1 Genomic DNA isolation 53 3.2.6.2 Quantification of DNA 54 3.2.6.3 PCR amplification using HvSSR and 54 SSR markers 3.2.6.3.1 PCR reaction 54 3.2.6.3.2 Visualization of amplified 55 products in Polyacrylamide gel electrophoresis 3.2.6.3.3 Assembling and pouring the gel 56 3.2.6.3.4 Electrophoresis 56 3.2.6.3.5 Visualization of bands 57 3.2.6.3.6 Detection of parental 57 polymorphism using highly variable simple sequence repeats (HvSSR) and simple sequence repeat (SSR) primers 3.2.6.3.7 Development of genotypic data of 57 population 3.2.6.3.8 Scoring of data 57 3.2.7 Reagents and solutions 58 iv Chapter PARTICULARS PAGE 3.2.7.1 Reagents for PCR 58 3.2.7.2 Stock solutions 58 3.2.7.3 Solutions for electrophoresis 59 3.2.7.4 Stocks and solutions for PAGE 60 IV RESULTS AND DISCUSSION 62-139 4.1 Phenotypic observations 63 4.2 Variability 63 4.2.1 Analysis of variance 63 4.2.2 Mean and variability parameters 64 4.2.3 Genotypic coefficient and Phenotypic coefficient 75 4.2.4 Heritability 77 4.2.5 Phenotypic observation of BC F population 79 1 3 4.3 Genotypic and Phenotypic Correlation Coefficient of 81 Yield and its contributing traits under different conditions 4.4 Path analysis of Yield and its contributing traits under 93 different conditions 4.5 Development of genotypic data using Danteshwari x 101 Dagad Deshi RIL population 4.5.1 Development of genotypic data based on HvSSR and 113 SSR markers 4.5.1.1 Parental polymorphism analysis using HvSSR and 113 SSR primers 4.5.2 Mapping of the molecular markers with QTLs 114 associated with yield related traits 4.5.2.1 Composite interval mapping 114 4.5.2.2 QTLs for grain yield 115 4.5.2.3 QTLs for total number of tiller 119 4.5.2.4 QTLs for Panicle per plant 121 4.5.2.5 QTLs for number of spikelets per panicle 122 4.5.2.6 QTLs for panicle length 124 4.5.2.7 QTLs for biological yield 126 4.5.2.8 QTLs for harvest index 127 4.5.2.9 QTLs for plant height 127 4.5.2.10 QTLs for days to flowering 129 4.6 Co-location of major effect QTLs contributing to grain 129 yield 4.7 Graphical genotyping of RILs using SSR and HvSSR 134 marker data 4.8 Effect of hormones on tillering ability of rice and grain 137 yield V SUMMARY AND CONCLUSIONS 142-146 v Chapter PARTICULARS PAGE REFERENCES 147-174 APPENDICES 175-186 RESUME 187 PUBLICATIONS vi

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Department of Plant Molecular Biology and Biotechnology, IGKV, Raipur whose encouragement, supervision and spells can occur at almost any time during the rice growth period in rain-fed areas, leading to Harvest index (%) was worked out by using the formula as given below: Grain yield.
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