This textbook provides a survey of statistical methods commonly used in the life sciences, an introduction to statistical theory, and significant exposure to the statistical software package SAS 9.4. The textbook is designed for graduate students and upper division undergraduates, and assumes some familiarity with mathematical notation, functions, and algebra. No previous courses in statistics are needed. For those interested in using the software package R, programs similar in function to the SAS ones are also provided. A unique feature of this textbook is the integration of statistical procedures and theory. Most introductory texts present the statistical procedures and a mechanistic explanation of how they work, without discussing the underlying theory. Some knowledge of this theory is essential for students in the life sciences, especially graduate students, and so the textbook uses likelihood theory to explain how parameters are estimated and statistical tests derived. The statistical models for ANOVA, regression, and other common procedures are also presented. These theoretical concepts are presented in both equation and graphical form. For detailed information on the topics covered in this textbook, see the Table of Contents file in Section 1.  

A knowledge of broadleaf plant parts will help the student identify plants at various stages of life.  The weed ID resource books often use technical terms to describe how the plant parts look.  It is important the student understands the technical terms in order to properly identify weed species.  Students will also practice using common weed id apps

This open textbook places emphasis on the design of a process pipeline for continuous development of new improved cultivars as a means to implement the cycle of crop improvement. Essential topics in New Line Development and New Line Evaluation are addressed, such as choice of parents, creation of progeny, and evaluation and selection of progeny. Students learn to design a process pipeline to produce improved cultivars that meet a specific product target which represents stakeholders’ needs.
Each of the books in the PBEA series comes with a section in its back matter titled "Applied Learning Activities" which includes additional content aligned to each chapter such as handouts and worksheets, csv files, code for statistical analysis in R, and recommended readings.

In this deterministic cellular automata model, interactions between neighboring automata are described using a prisoner's dilemma. Limiting dispersal of seeds of annual plants can permit heterogeneous co-existence, whereas thorough mixing instead allows one subpopulation to dominate quickly.

The En-ROADS guided assignment challenges participants to use the free online En-ROADS simulator (https://en-roads.climateinteractive.org/) to create a scenario that successfully addresses climate change while considering implications across the economy, environment, and society. The En-ROADS assignment is used in classrooms, ranging from middle school to graduate level students, and comes in short and long forms. It can also be adapted as an exercise for non-academic settings. Often, the assignment is given following an En-ROADS workshop or Climate Action Simulation role-playing simulation game (https://www.climateinteractive.org/en-roads/).

Data sets and graphs on energy production, use, dependency, and efficiency are compiled through following key World Development Indicators.

This OER will help learners to understand properly the Estimation of Forest Stock By:Defining and Measure Properly all Single Tree ParametersExplaining and Calculate Adequately Stand ParametersEstimating the Stock of Forest eithefelled or stand

In the first video segment, we analyze the population dynamics for a test-tube of cells that affect each others' likelihoods of replication when they collide. The particular example we use is a prisoner's dilemma, which has the almost paradoxical property that survival of the relatively most fit leads overall fitness to decrease. In the second video segment, we suggest that the population dynamics from the first segment can be related to an analysis that uses payoff matrices found in traditional game theory.

The Future of Food is an introductory-level science course that emphasizes the challenges facing food systems in the 21st century, and issues of sustainability for agriculture and other food production activities, as well as the challenges posed by food insecurity and modern diets to human health and well-being. Topics covered include introduction to the coupled-system perspective, historical development of food systems, socioeconomic aspects of the food system, interaction of the food system with the Earth's environment including soil, water, biota and climate, and the future of the food system considering potential changes such as in climate, urbanization, and demography.