The book aims to present complex statistical equations and formulas in a more accessible and simplified format, in order to facilitate the proper analysis of large datasets gathered through field experiments and the drawing of accurate conclusions from such data. The book is divided into seven chapters, with the first two chapters focusing on the development of biometrics and basic statistics, as a thorough understanding of the latter is crucial for grasping the former. The third chapter explores various methods for assessing variability within a population, including D2 statistics, Euclidean cluster analysis, and metroglyph analysis, although range, standard deviation, variance, and coefficient of variation are simpler statistics for this purpose. The fourth chapter delves into breeding methods, such as selection, heritability, and selection index. The fifth chapter examines aids in selection, including important topics like correlation, path analysis, regression analysis, cluster analysis, principal component analysis (PCA), and discriminant function analysis. The sixth chapter focuses on diallel analysis and generation mean analysis as additional aids in selection. Lastly, the seventh chapter discusses varietal adaptation, with a focus on stability analysis of a variety.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
N. S. Rathore is Vice Chancellor, Maharana Pratap University of Agriculture and Technology, Udaipur. He did M.Tech with specialization in Energy Studies from I.I.T., Delhi and Ph.D. from Rajasthan Agricultural University, Bikaner. He has served the ICAR as Deputy Director General (Engg.), Deputy Director General (Education). He is also founder Vice Chancellor of Sri Karan Narendra Agriculture University, Jobner- Jaipur, Rajasthan. He has contributed more than 200 technical papers and 36 books on various aspects of Renewable Energy, Environment and Agricultural Engineering. He has undertaken 50 research projects and organized 20 International trainings, Seminars/winter, Workshops and Conferences and 12 ISTE sponsored Summer School. There are 100 reports, proceedings and popular articles to his credit. He was honored by the Indian Society of Agricultural Engineers and other government and private organization.
N.L. Panwar is an Assistant Professor of Renewable Energy Engineering in the Faculty of Engineering at MPUAT, Udaipur, Rajasthan (India). He has been awarded PhD from the Centre for Energy Studies, Indian Institute of Technology Delhi, India. His areas of interest cover energy and energy analyses of thermal systems and energy efficiency & management. He has contributed more than 100 papers in international journals and several books on renewable energy aspect. He has been a recipient of 'Prakritik Urja Puraskar'from Ministry of New and Renewable Energy, Government of India for his outstanding book on Alternative Energy Resources. He has also been awarded by 'Shrimati Vijay-Usha Sodha Research Award" from Indian Institute of Technology Delhi in 2014, and Rajasthan Energy Conservation Award 2018 from Government of Rajasthan.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book aims to present complex statistical equations and formulas in a more accessible and simplified format, in order to facilitate the proper analysis of large datasets gathered through field experiments and the drawing of accurate conclusions from such data. The book is divided into seven chapters, with the first two chapters focusing on the development of biometrics and basic statistics, as a thorough understanding of the latter is crucial for grasping the former. The third chapter explores various methods for assessing variability within a population, including D2 statistics, Euclidean cluster analysis, and metroglyph analysis, although range, standard deviation, variance, and coefficient of variation are simpler statistics for this purpose. The fourth chapter delves into breeding methods, such as selection, heritability, and selection index. The fifth chapter examines aids in selection, including important topics like correlation, path analysis, regression analysis, cluster analysis, principal component analysis (PCA), and discriminant function analysis. The sixth chapter focuses on diallel analysis and generation mean analysis as additional aids in selection. Lastly, the seventh chapter discusses varietal adaptation, with a focus on stability analysis of a variety. 214 pp. Englisch. N° de réf. du vendeur 9789390175086
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