In the past 50 years, the application of synthetic nitrogen (N) fertilizer to farmland resulted in a dramatic increase in crop yields but with considerable negative impacts on the environment. New solutions are therefore needed to simultaneously increase yields while maintaining, or preferably decreasing, applied N to maximize the nitrogen use efficiency (NUE) of crops. In this review, we outline the definition of NUE, the selection and development of NUE crops, and the factors that interact with NUE.
This study draws on social-psychology in an attempt to identify the various motivations for technology adoption (TA), including both economic and non-economic, and to gain insights into how and why Brazilian innovative beef farmers make decisions about whether or not to adopt particular technologies.
Visible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest regions have received less attention, especially those from tropical rainforests. A spectral characterization provides a proficient pathway for soil characterization.
We present a model for research and development (R&D) investment in food innovations based on new plant engineering techniques (NPETs) and traditional hybridization methods. The framework combines uncertain and costly food innovation with consumers' willingness to pay (WTP) for the new food. The framework is applied with elicited WTP of French and US consumers for new improved apples. NPETs may be socially beneficial under full information and when the probability of success under NPETs is relatively high. Otherwise, the traditional hybridization is socially optimal.
This article extends social science research on big data and data platforms through a focus on agriculture, which has received relatively less attention than other sectors like health. In this paper, I use a responsible innovation framework to move attention to the social and ethical dimensions of big data “upstream,” to decision-making in the very selection of agricultural data and the building of its infrastructures.
Depuis toujours, l’agriculture repose sur la modification de la constitution génétique des plantes et des animaux. Grâce à la reproduction sélective, d’innombrables générations de cultures et d’animaux ont été sélectionnées en fonction de caractères jugés bénéfiques pour l’être humain.
This brochure gives an overview of the work of of the Japan International Research Center for Agricultural Sciences (JIRCAS). It illustrates history, main objectives and medium to long-term plan of JIRCAS for the period 2021-2025. The three main programs of JIRCAS - focused, respectively on Food, Environment and Information - are also presented.
The availability of an efficient PRRS virus monitoring information system for a large scale project remains a major issue. The purpose of this paper is to present the system developed by CDPQ (Quebec Swine Development Center) to support Quebec’s province-wide PRRS monitoring effort (3000 sites).
La filière porcine aux Antilles doit faire face à plusieurs défis dont celu i de l’augmentation de sa contribution à la consommation locale de viande. La production de porcs dans nos régions est soumise à des contraintes spécifiques locales (insularité et éloignement de l’U nion Européenne) et des contraintes communes aux autres régions tropicales (f acteurs climatiques, disponibilité des ressources alimentaires, etc..).
Climate change is threatening development gains and intensifying global inequities—putting peace and important gains in human well-being at risk.