Today's food and farming systems have succeeded in supplying large volumes of foods to global markets but are generating negative outcomes on multiple fronts: wide-spread degradation of land, water and ecosystems; high greenhouse gas emissions; biodiversity losses; persistent hunger and...

Indigenous food systems are remarkable reservoirs of unique cultural knowledge grounded in historical legacy and spirituality that acknowledge the inextricable link of people with their sustainably managed resources. These sustainable food systems can provide essential understanding about...

This chapter summarizes key findings from recent reviews of evidence of the nutritional impacts of agricultural development programmes. It focuses on findings from impact evaluations of different types of nutrition-sensitive agricultural programmes, including biofortification, homestead food...

This chapter describes the use of curvilinear regression analysis to determine the non-linear effects of an independent variable on a dependent variable.

This chapter describes the differences between fixed and random effects of one-way analysis of variance and the application of random effects analysis of variance in animal production studies.

The functions of discrete, categorical and non-normal dependent variables in linear models with both dependent and independent variables are discussed.

This chapter discusses the collection and summarization of experimental data in animal production studies prior to statistical analysis.

This chapter discusses the use of probability rules to test null and alternative hypotheses in statistical analysis.

This chapter discusses the use of linear regression analysis to determine how changes in one variable can affect another variable and its application in animal production studies.

The concept of correlation analysis to determine the relationship between two statistical variables is described.