Management Options that Increase Herbage Production in Grassland-Based Livestock Production Systems

Herbage production is the most important measure of performance of grassland systems. Understanding how herbage production responds to various managements is crucial to the success of grassland systems, whether or not maximization of production is pursued. Most of the records of grassland production in the literature are taken as acceptable approximations of net herbage production. Analysis of these production records and accompanying quality data can generalize the response of grassland productivity and quality to individual managements, and can characterize the managements in terms of their efficiency and potential in increasing productivity and quality. Overall, maximum production response is ranked irrigation (11.2 t DM/ha) \u3e nitrogen (N) fertilizer (9.8 t DM/ha) \u3e legume mixture (5.2 t DM/ha) \u3e phosphorus fertilizer (3.4 t DM/ha) \u3e cutting frequency (2.5 t DM/ha) ≈ potassium fertilizer (2.4 t DM/ha) \u3e cutting intensity (1.9 t DM/ha). Maximum response of herbage N concentration is greatest for N fertilizer (16 g/kg DM, for grasses) followed by legume mixture (14 g/kg DM), cutting frequency (8 g/kg DM) and cutting intensity (2 g/kg DM). Management of grassland systems for achieving a specified production and/or quality goal needs to consider different patterns of production and quality response to individual management inputs as well as other conditions (e.g. plant species, site conditions) involved in the systems

Decision Support Model for the Optimization of Quality Systems in the Agri-Food Industry

Quality management is of paramount importance in all stages of the Agri-Food production and process chain. The approach of quality management has been changed in the past years due to the effects of globalization, numerous deficits in food safety and the legislative such as the new European regulation 178/2002 concerning food safeties. A trend, which can be shown, is the development of several quality systems and norms in response to this challenge. Therefore programmes will be developed and improved in the Agri-Food-industry further on. There are general quality systems, which are applied in different countries and sectors, country and product specific standards and programmes, which were developed by retail initiatives. This paper will give an insight into the variety of quality standards in the agribusiness and food industry in Europe and beyond. The main aspect will be a cost/benefit analysis for the implementation of different quality systems in firms and supply chains.quality management systems, cost, benefit, transaction costs, economic of scales, Agribusiness,

MARGINAL ABATEMENT COSTS OF REDUCING GROUNDWATER-N POLLUTION WITH INTENSIVE AND EXTENSIVE FARM MANAGEMENT CHOICES

Cost-effectiveness is an important consideration in evaluating choices for meeting environmental quality objectives. Estimated crop yield response functions and the associated groundwater-nitrate pollution production functions were used to evaluate the optimal N fertilization and on-farm abatement costs for alternative cropping systems, with management choices at both the intensive and extensive margins. The cost-effective corn production system, which meets the Health Canada standard for nitrates with the highest returns ($278 ha-1) and lowest on-farm abatement cost ($248 ha-1), was a four-year corn-corn-soybean-wheat rotation under conventional tillage. At contaminant limits above the Health Canada standard, the cost-effective wheat cropping system shifted from a soybean-wheat rotation under no-tillage to a corn-soybean-wheat rotation under no-tillage.Environmental Economics and Policy, Farm Management,

Alternative Soil Fertility Management Options in Malawi - An Economic Analysis

In this paper, we analyze the factors that influence the productivity of maize among smallholder farmers, given that unfavourable output and input market conditions throughout the 1990s have compelled smallholder farmers into unsustainable agricultural intensification. We use farm-household survey data in order to compare the productivity of smallholder maize production under integrated (ISFM) and chemical-based soil fertility management using a normalized translog yield response model. The results indicate higher maize yield responses for integrated soil fertility management options after controlling for the intensity of fertilizer application, labour intensity, seed rate, land husbandry practices as well as selected policy factors. The estimated model is highly consistent with theoretical conditions. Thus we conclude that the use of ISFM improves maize productivity, compared to the use of inorganic fertilizer only. Since most farmers in the maize-based farming systems are crowded out of the agricultural input market and can hardly afford optimal quantities of inorganic fertilizer, enhancement of ISFM is likely to increase their maize productivity. We finally highlight areas of policy support needed to enhance ISFM uptake in smallholder maize-based farming systems.Malawi, smallholder agriculture, soil fertility management, yield response model, Livestock Production/Industries,

Can diaries help improve agricultural production statistics ? Evidence from Uganda

Although good and timely information on agricultural production is critical for policy-decisions, the quality of underlying data is often low and improving data quality could have a high payoff. This paper uses data from a production diary, administered concurrently with a standard household survey in Uganda to analyze the nature and incidence of responses, the magnitude of differences in reported outcomes, and factors that systematically affect these. Despite limited central supervision, diaries elicited a strong response, complemented standard surveys in a number of respects, and were less affected by problems of respondent fatigue than expected. The diary-based estimates of output value consistently exceeded that from the recall-based production survey, in line with reported disposition. Implications for policy and practical administration of surveys are drawn out.Rural Development Knowledge&Information Systems,Crops&Crop Management Systems,Food&Beverage Industry,Scientific Research&Science Parks,Science Education

Organic Orchard Floor Management Systems for Apple Effect on Rootstock Performance in the Midwestern United States

In organic apple production systems, orchard floor management is of prime importance because it determines weed management and soil fertility. In this experiment, we evaluated the response of the cultivar Pacific Gala on three rootstocks of different vigor: M.9 NAKB 337, M.9 RN 29, and Supporter 4 (in respective order of vigor from dwarfing to semivigorous). The rootstocks were also evaluated for the response to three orchard floor management systems (OFMSs): mulching using alfalfa hay, flame burning, and shallow strip tillage using the Swiss sandwich system (SSS). The experiment was conducted in an experimental orchard planted in 2000

A Systematic Review of Ecological and Production Outcomes under Rest-Grazing Systems

With increasing pressure on grazing lands throughout the world, there is a growing need to balance sustainable management of livestock to meet food production and environmental impacts. Grazing management practices that incorporate periods of planned rest between grazing events (RG) may achieve both ecological and production goals simultaneously. We conducted a systematic review of global literature that compared ecological and production outcomes of RG systems with either continuously grazed (CG) or ungrazed (UG) areas. In addition, we evaluated the extent to which ecological and livestock production outcomes have been assessed simultaneously in these studies and identified future research needs. A large proportion of the literature reported no difference (neutral response) between the different management systems. However, where differences did occur, the response of biodiversity, land condition and livestock production metrics was more often positive under RG than CG. When RG was compared to UG areas, differences were predominantly positive for plant biodiversity metrics, but negative for invertebrate biodiversity, ground cover and plant biomass. Only a small proportion of studies considered the effect of RG on both ecological and production outcomes simultaneously. An understanding of both ecological and production trade-offs associated with different grazing management strategies is essential to make informed decisions about best-management practices for joint production and ecological outcomes across the world’s grazing lands

SOIL FERTILITY MANAGEMENT AND AGRICULTURAL PRODUCTIVITY IN MALAWI

In this paper we analyze the factors that influence the productivity of maize among smallholder farmers. We use farm-household survey data in order to compare the productivity of smallholder maize production under integrated (ISFM) and chemical-based soil fertility management using a normalized translog yield response model. The results indicate higher maize yield responses for integrated soil fertility management options after controlling for the intensity of fertilizer application, labour intensity, seed rate, land husbandry practices as well as selected policy factors. The estimated model is highly consistent with theoretical conditions. Thus we conclude that the use of ISFM improves maize productivity, compared to the use of inorganic fertilizer only. Since most farmers in the maize-based farming systems are crowded out of the agricultural input market and can hardly afford optimal quantities of inorganic fertilizer, enhancement of ISFM is likely to increase their maize productivity. We finally highlight areas of policy support needed to enhance ISFM uptake in smallholder maize-based farming systems.Malawi, smallholder agriculture, soil fertility management, yield response model, Farm Management,

The use of animal-based health and welfare parameters – what is it all about?

Organic farming is characterized by several goals that are expressed in daily practices and in standards. Some of the important goals for organic production systems are naturalness, harmony on all levels of production, local recycling of resources, and the principle of precaution (Anonymous, 2002). For organic herds, good animal welfare is an explicit goal, and this includes that the overall goal for the organic farming systems regarding naturalness and harmony in the herd are met by giving the animals possibilities to perform natural behavior and achieve harmony within the group. Freedom for the animals to make as many choices as possible should be respected (Vaarst et al., 2004; Verhoog et al., 2002 & 2004). The production system is not sustainable if animals show evidence of pain, disease, or distress as a result of an inadequate system or disharmony between the animals and the system. Therefore it is of crucial importance to be able to assess and evaluate the animals’ response to the system. This need is not only relevant for organic systems. Public concern about farm animal welfare has steadily grown during recent years. In this context, welfare assessment has many roles such as identifying current welfare problems, checking farm assurance and legislative requirements have been met, indicating risk factors leading to a welfare problem, testing the efficacy of interventions, formulating a product information/labelling system, or research tool for evaluating and comparing production systems, environments, management systems, animal genotype etc. (Whay, 2007). Improvements in animal welfare may be achieved through (1) assessment of animal welfare, (2) identification of risk factors potentially leading to welfare problems and (3), interventions in response to the risk factors. In order to see whether the improvements have worked, it is furthermore important to be able to measure or assess the improvements and see if it has worked. In this process the animal based parameters help us to identify the animal’s response to the system, and therefore also the potential problems in this system. It is the aim of this presentation to give an overview over concepts of welfare assessments, and animal based parameters, and present the ideas in the project Welfare Quality in order to create a background for understanding and discussing the use of animal based parameters in the current ANIPLAN project

A sweet deal? Sugarcane, water and agricultural transformation in Sub-Saharan Africa

Globally, the area of sugarcane is rising rapidly in response to growing demands for bioethanol and increased sugar demand for human consumption. Despite considerable diversity in production systems and contexts, sugarcane is a particularly “high impact” crop with significant positive and negative environmental and socio-economic impacts. Our analysis is focused on Sub-Saharan Africa (SSA), which is a critical region for continued expansion, due to its high production potential, low cost of production and proximity, and access, to European markets. Drawing on a systematic review of scientific evidence, combined with information from key informants, stakeholders and a research-industry workshop, we critically assess the impacts of sugarcane development on water, soil and air quality, employment, food security and human health. Our analysis shows that sugarcane production is, in general, neither explicitly good nor bad, sustainable nor unsustainable. The impacts of expansion of sugarcane production on the environment and society depend on the global political economy of sugar, local context, quality of scheme, nature of the production system and farm management. Despite threats from climate change and forthcoming changes in the trade relationship with the European Union, agricultural development policies are driving national and international interest and investment in sugarcane in SSA, with expansion likely to play an important role in sustainable development in the region. Our findings will help guide researchers and policy makers with new insights in understanding the situated environmental and social impacts associated with alternative sugar economy models, production technologies and qualities of management