Search results for ""Author Manjit S. Kang""

Get cutting-edge information to improve crop breeding and productivity!Crop improvement will become progressively important over the next few decades as the world’s population is expected to top 10 billion people, with more than eight billion in developing countries alone. Genetic and Production Innovations in Field Crop Technology: New Developments in Theory and Practice tackles this enormous challenge by detailing the latest available research and innovations for crop breeders and physiologists for the twenty-first century. Respected multidisciplinary scientists comprehensively discuss cutting-edge advances in field crop technology and genetic production as they keep an eye on the goal of providing nutrition to a hungry world.Genetic and Production Innovations in Field Crop Technology emphasizes an integrated approach to solve global crop production problems and increase crop productivity. Crop research experts review methods of globally improving crop yield, food product efficiency, and providing adequate nutrition in diet. The authors discuss various types of field crops, including corn, soybeans, winter wheat, cassavas, rubber, sunflowers, and barley, as well as review the exciting innovations on the food production horizon. The text is extensively referenced and includes useful graphs and tables to clearly present data.Genetic and Production Innovations in Field Crop Technology presents: visionary articles by authorities in agricultural sciences statistical design axioms and modern plot techniques discussions of integration of crop physiology and plant breeding information on systematic collection and preservation of germplasm explanations of genetic diversity in soybeans corn breeding and production researchincluding the economicsin the United States research on cassava breeding in less favorable environments to alleviate poverty strategies for improving yielding potential of rubber in sub-optimal environments information on fine-tuning wheat genotype-by-environment interaction methodology reviews of QTL identification, mega-environment classification, and effective strategies for marker-based selection via GGE biplot analyses research on statistical properties and practical usefulness of the Scheffe-Calinski and Shukla models relative to genotype-by-environment interaction Genetic and Production Innovations in Field Crop Technology: New Developments in Theory and Practice belongs in every agricultural university library. Crop breeders, geneticists, agronomists and horticulturists, educators, and students will find this an invaluable research source for now and for the future.

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Research data is expensive and precious, yet it is seldom fully utilized due to our ability of comprehension. Graphical display is desirable, if not absolutely necessary, for fully understanding large data sets with complex interconnectedness and interactions. The newly developed GGE biplot methodology is a superior approach to the graphical analysis of research data and may revolutionize the way researchers analyze data. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists introduces the theory of the GGE biplot methodology and describes its applications in visual analysis of multi-environment trial (MET) data and other types of research data. The text includes three parts: I) Genotype by environment interaction and stability analysis, II) GGE biplot and multi-environment trial (MET) data analysis, and III) GGE biplot software and applications in analyzing other types of two-way data. Part I presents a comprehensive but succinct treatment of genotype-by-environment (G x E) interaction in order to provide an overall picture of the entire G x E issue and to show how GGE biplot methodology fits in. Part II describes and demonstrates the numerous utilities of a GGE biplot in visualizing MET data. Part III describes the "GGE biplot" software and extends its application to the analysis of genotype by trait data, QTL mapping data, diallel cross data, and host by pathogen data. Altogether, this book demonstrates that the GGE biplot methodology is a superior data-visualization tool and allows the researcher to graphically extract and utilize the information from MET data and other types of two-way data to the fullest extent. GGE Biplot Analysis makes this useful technology accessible on a wider scale to plant and animal breeders, geneticists, agronomists, ecologists, and students in these and other related research areas. The information presented here will greatly enhance researchers' ability to understand their data and will mak

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