Southern Australian farming systems operate predominantly under Mediterranean climatic conditions, which limit the choice of cover crops suitable for enhancement of ground cover and soil moisture retention, erosion control, atmospheric soil nitrogen (N) fixation, and weed suppression between cash crop rotations. Given that the successful establishment of cover crops is climate-driven and also influenced by edaphic factors such as soil pH and salinity, there has been increased interest by southern Australian producers in identifying potential cover crop species well adapted to specific Australian farming systems, which provide vital ecosystem services and sustainable economic benefits through the improvement of soil properties. This review summarises recent findings on cover crop inclusion in diverse farming systems in southern Australia, including continuous and mixed broadacre cropping as well as viticulture and horticulture systems, to identify opportunities and limitations related to their use. Cover crop inclusion in viticulture and pasture systems with lower moisture stress was observed to benefit the subsequent cash crop through enhanced production potential. Long-term, multi-site field experimentation incorporating summer cover crops in winter crop rotations showed that cover crops enhanced ground cover and soil water infiltration in some locations across southern Australia while sometimes increasing winter crop yield, suggesting that soil type and regional climatic conditions greatly influenced the delivery of multiple cover crop benefits. Collectively, these studies have suggested a need for longer-term field evaluations using multiple cover crop species and investigations of termination options under varying environmental and soil conditions to better quantify the legacy effects of cover crops.

The study provides comparative risk analyses of Australia’s three Victorian dairy regions. Historical data were used to identify business risk and financial viability. Multivariate distributions were fitted to the historical price, production, and input costs using copula models, capturing non-linear dependence among the variables. Monte Carlo simulation methods were then used to generate cash flows for a decade. Factors that influenced profitability the most were identified using sensitivity analysis. The dairies in the Northern region have faced water reductions, whereas those of Gippsland and South West have more positive indicators. Our analysis summarizes long-term risks and net farm profits by utilizing survey data in a probabilistic manner.

The agriculture sector in Pakistan, as in most developing countries, is dominated by smallholder producers. Pakistan has the world’s third largest dairy industry, and milk is efficiently collected and distributed chiefly by informal value chains that market the raw product with minimal cool chain infrastructure. Formal processors have a small market share of 5%. Interview data from farmers, milk collectors and consumers from three rural-urban case study value chains were analysed to study opportunities and challenges faced by the dairy industry. Compositional analysis of milk samples (n=84) collected along these chains identified the fact that in Pakistan informal milk chains provide a cheaper source of calories for the final consumer than industrialised milk chains (USD 0.12 compared USD 0.15 per 100 calories). These three chains created an estimated 4,872 jobs from farm to market and provided access to interest-free credit for the farmers. The existing government price setting mechanism at the retail end and collusion by large processors to set farm gate prices provided significant limitations to the profitability of small-holder farms providing the product. The absence of quality and quantity standards, amid the exchange of huge numbers of small volumes of milk along these chains, are major impediments to industry growth.