Umesh Rosyara — новинки

Development in plant breeding has led green revolution in many areas of the world due to development of input response superior varieties. In spite of this fact in some environments particularly marginal adoption of modern varieties are poor due to poor assess to seeds and development of suitable varieties that satisfy their needs. Decisions about the adoption of varieties are conditional to farmers’ perception to new variety relative to their varieties. Selection of advanced breeding lines by farmers in process of called Participatory Varietal Selection (PVS) has been identified as suitable technique for future varietal selection. Adoption of improved cultivars in marginal uplands of Nepal is very limited. Such poor adoption could be due to the improper understanding of farmers’ selection criteria and priority and their implication in breeders’ objective setting and selection process. The optimization and assessment of farmers’ role in breeding process, their selection criteria, evaluation of traits and priority given by farmers included in this study showed high potential for developing a ideal rice genotypes for upland rainfed ecosystem of Nepal.

R is leading data analysis software and programming language. It has capacity to handle moderate to large dataset and creating publication ready graphs. This manual is designed as self-help manual useful beginner to more advanced users, with some statistical and computing knowledge. The author hope this manual will be useful for several areas of biological sciences including genetics, molecular biology, genomics, bioinformatics, biotechnology, agriculture, plant science, botany, ecology, breeding, animal breeding, systematics, animal science, human biology, human health, biomedical sciences, environmental science, microbiology, biochemistry and physiology. Examples and r scripts are provided to cover these areas of biological science. Software can be downloaded for free from: www.r-project.org.

R is leading data analysis software and programming language. R is well known for its graphical capabilities, one of motivation to switch to R for scholars of different science and art disciplines. This manual is designed as self-help step-by-step guide avoiding lengthy verbose. The author useful for beginner to more advanced users, with some statistical and computing knowledge, with diverse background from several areas of sciences including Biology and life sciences (biological, medical, biomedical, plant science, animal science, molecular biology, biotechnology etc), computing and physical sciences (Physics, Chemistry, Earth science, Mathematics and Statistics)and Social and Socio-economic sciences. In addition to workable examples and scripts, a brief discussion on R installation and use, data manipulation is also provided at the beginning for those users who are new to R with limited knowledge on programming languages. Those users who want to do more on data analysis, can find the complementary book - "R for Data Analysis in Biological Sciences, Lambert Academic Publishing, ISBN 978-3-8443-2841-7) useful. R Software can be downloaded for free from: www.r-project.org.