Mass-selection strategies for pearl millet improvement

Rattunde, H F W (1988) Mass-selection strategies for pearl millet improvement. PHD thesis, Iowa State University.

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Supervisors NameSupervisors ID
Frey, K JIowa State University


Mass selection is frequently used for genetically improving pearl millet (Pennisetum slaucum R. Br.). To ascertain the ability of mass selection to modify traits of agronomic importance to pearl millet, this study determined (a) the heritability and interrelationships of those traits and (b) the realized gains obtained from selection. SO and S 1 populations of three pearl millet composites were evaluated for an array of agronomic and developmental traits. Parent-offspring heritability values ranged from 0.46 to 0.64 for panicle size and seed traits, from 0.27 to 0.58 for productivity traits, and from 0.16 to 0.32 for partitioning traits, when averaged over three pearl millet composites. Interrelationships among traits were identified by factor analyses and found to be similar in the three composites. Unique groups of traits were associated with biological yield, panicle size, and seed factors. Certain traits, however, were associated with both the biological yield and the partitioning factors. The orientations of S plants along the biological yield, 0 panicle size, and seed parameters factors were siqnificantly related to orientations of their S progenies along the correspondinq factors......

Item Type: Thesis (PHD)
Subjects: Mandate crops > Millets
Depositing User: Mr Sanat Kumar Behera
Date Deposited: 17 Jul 2013 09:06
Last Modified: 17 Jul 2013 09:06
Acknowledgement: providing ideas and support that were critical to the success of this work. I also thank Dr. Pheru Singh who, as colleague and friend, shared his insights and enthusiasm for breeding pearl millet and generously provided land and labor for my research. My thanks also go to Dr. Fran Bidinger for his help. The immense amount of field work could not have been managed without my field assistant, Mr. Md. Yousuf. His hard work and his help in supervising the large labor force were invaluable. I acknoweldge the ICRISAT Training Program for providing the Research Fellowship that made this research possible. I am grateful to Dr. Dallas Oswalt, Chief Training Officer, for his interest in my research and for his commitment to the training and research activities that are so important to agricultural development in the third world. Dr. Kenneth J. Frey, my major professor, gave me tremendous support 'both during my time in Iowa and in his several trips to India. I greatly appreciate his efforts and patience in helping me to develop my research and writing skills. I also thank the members of my committee for reviewing my research and discussing the contents of this dissertation. I thank Dr. Paul Hinz for his help in understanding and applying multivariate statistical analyses. My thanks also go to Ina Couture for typing this dissertation in a timely and always cheerful manner. I also thank Jean and Dean Prestemon for opening their home to me and providing friendship and encouragement during the last weeks of writing this dissertation. I thank my dear friend Eva Weltzien for her wonderful companionship and encouragement. Her optimism and dedication to improving agricultural productivity and sustainability has nourished my hope of applying myself in a like manner. I also give heartfelt thanks to my family for their love and constant support over the many years of this study and to my mother for visiting me in India and bringing me her love in person. I want to give a big thank you to the many friends, colleagues, and laborers not yet mentioned but whose efforts and interest were so important to this work. I will strive to pass your kindness on.
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