In November 2019, the High Performance Greenhouse project (HiPerGreen) was nominated for the RAAK Award 2019, as one of the best applied research projects in the Netherlands. This paper discusses the challenges faced, lessons learned and critical factors in making the project into a success.
DOCUMENT
Climate change is undermining the importance and sustainability of cooperatives as important organizations in small holder agriculture in developing countries. To adapt, cooperatives could apply carbon farming practices to reduce greenhouse gas emissions and enhance their business by increasing yields, economic returns and enhancing ecosystem services. This study aimed to identify carbon farming practices from literature and investigate the rate of application within cooperatives in Uganda. We reviewed scholarly literature and assed them based on their economic and ecological effects and trade-offs. Field research was done by through an online survey with smallholder farmers in 28 cooperatives across 19 districts in Uganda. We identified 11 and categorized them under three farming systems: organic farming, conservation farming and integrated farming. From the field survey we found that compost is the most applied CFP (54%), crop rotations (32%) and intercropping (50%) across the three categorizations. Dilemmas about right organic amendment quantities, consistent supplies and competing claims of residues for e.g. biochar production, types of inter crops need to be solved in order to further advance the application of CFPs amongst crop cooperatives in Uganda.
DOCUMENT
Control of plant growth is an important aspect of crop productivity and yield in agriculture. Overexpression of the At CHR12/ 23 genes in Arabidopsis thaliana reduced growth habit without other morphological changes. These two genes encode Snf2 chromatin remodelling ATPases. Here, we translate this approach to the horticultural crop tomato ( Solanum lycopersicum). We identified and cloned the single tomato ortholog of the two Arabidopsis Snf2 genes, designated Sl CHR1. Transgenic tomato plants (cv. Micro-Tom) that constitutively overexpress the coding sequence of Sl CHR1 show reduced growth in all developmental stages of tomato. This confirms that Sl CHR1 combines the functions of both Arabidopsis genes in tomato. Compared to the wild type, the transgenic seedlings of tomato have significantly shorter roots, hypocotyls and reduced cotyledon size. Transgenic plants have a much more compact growth habit with markedly reduced plant height, severely compacted reproductive structures with smaller flowers and smaller fruits. The results indicate that either GMO-based or non- GMO-based approaches to modulate the expression of chromatin remodelling ATPase genes could develop into methods to control plant growth, for example to replace the use of chemical growth retardants. This approach is likely to be applicable and attractive for any crop for which growth habit reduction has added value.
DOCUMENT
Although causal inference has shown great value in estimating effect sizes in, for instance, physics, medical studies, and economics, it is rarely used in sports science. Targeted Maximum Likelihood Estimation (TMLE) is a modern method for performing causal inference. TMLE is forgiving in the misspecification of the causal model and improves the estimation of effect sizes using machine-learning methods. We demonstrate the advantage of TMLE in sports science by comparing the calculated effect size with a Generalized Linear Model (GLM). In this study, we introduce TMLE and provide a roadmap for making causal inference and apply the roadmap along with the methods mentioned above in a simulation study and case study investigating the influence of substitutions on the physical performance of the entire soccer team (i.e., the effect size of substitutions on the total physical performance). We construct a causal model, a misspecified causal model, a simulation dataset, and an observed tracking dataset of individual players from 302 elite soccer matches. The simulation dataset results show that TMLE outperforms GLM in estimating the effect size of the substitutions on the total physical performance. Furthermore, TMLE is most robust against model misspecification in both the simulation and the tracking dataset. However, independent of the method used in the tracking dataset, it was found that substitutes increase the physical performance of the entire soccer team.
DOCUMENT
Background: Profiling the plant root architecture is vital for selecting resilient crops that can efficiently take up water and nutrients. The high-performance imaging tools available to study root-growth dynamics with the optimal resolution are costly and stationary. In addition, performing nondestructive high-throughput phenotyping to extract the structural and morphological features of roots remains challenging. Results: We developed the MultipleXLab: a modular, mobile, and cost-effective setup to tackle these limitations. The system can continuously monitor thousands of seeds from germination to root development based on a conventional camera attached to a motorized multiaxis-rotational stage and custom-built 3D-printed plate holder with integrated light-emitting diode lighting. We also developed an image segmentation model based on deep learning that allows the users to analyze the data automatically. We tested the MultipleXLab to monitor seed germination and root growth of Arabidopsis developmental, cell cycle, and auxin transport mutants non-invasively at high-throughput and showed that the system provides robust data and allows precise evaluation of germination index and hourly growth rate between mutants. Conclusion: MultipleXLab provides a flexible and user-friendly root phenotyping platform that is an attractive mobile alternative to high-end imaging platforms and stationary growth chambers. It can be used in numerous applications by plant biologists, the seed industry, crop scientists, and breeding companies.
LINK
Agricultural by-products, that is primary residue, industrial by-products and animal manure, are an important source of nutrients and carbon for maintaining soil quality and crop production but can also be valorised through treatment pathways such as fermentation, incineration or a combination of these called bio-refinery. Here, we provide an overview of opportunity to reduce environmental impact of valorising agricultural by-products. We estimate the available by-products in Northwestern Europe as a case study and the maximum and realistic greenhouse gas reduction potentials. Availability, collectability, the original use and environmental impact including land use changes, soil carbon sequestration and pollution swapping are discussed as critical factors when valorising agricultural by-products.
DOCUMENT
Redesigning IT systems for specific user groups encompasses a lot of effort with respect to analysing and understanding user behaviour. The goal of this paper is to provide insights into patterns of behaviour of agricultural users, during the usage of a decision support system called OPTIRas (TM). This system aids agricultural users in their cultivar selection activities. We analyse logs resulting from OPTIRas (TM), and we get insights into user's navigational patterns. We claim that the results of our analysis can be used to support the redesign of decision support systems in order to address specific agricultural users' characteristics.
DOCUMENT
Rassenkeuze is een jaarlijks terugkerende beslissing voor zetmeelaardappeltelers. Hulp bij deze rassenkeuze is door meer dan 80% van de telers als zeer belangrijk aangegeven in de AGROBIOKON-enquete over Kennisoverdracht. OPTIRas is een hulpmiddel om het juiste ras voor uw doeleinden en percelen te selecteren. OPTIRas is op Kennisakker.nl te vinden. Rassenkeuze wordt bepaald door voorkeuren van de teler en door de bedrijfs- en per-ceelsomstandigheden, waaronder aardappelmoeheid. Analyse van de TBM- gegevens toont aan dat 80-90% van de percelen nog steeds besmet is met AM. Voor het zet¬meelaardappeltelend gebied is dit een gemiddelde schade van bijna 150 euro/ha. Dit is niet nodig! Er zijn sinds midden jaren negentig voldoende resistente en hoog-resistente rassen die aardappelmoeheid kunnen terugdringen. De vuistregel is teel rassen die hoog-resistent (HR) en hoog-tolerant zijn voor alle pathotypen. De rassen Festien, Mer¬cury, Seresta, Starga en Valiant zijn allen HR voor alle pathotypen. Deze rassen kunnen in een aantal jaren AM-besmettingen naar aanvaardbare niveaus terugdringen. OPTIRas, het rassenkeuzeadviessysteem combineert de voorkeuren van de teler met de AM-besmettingsgraad. De teler kan zelf op basis van de financiële informatie, agrono¬mische informatie en de AM-besmettingsgraad keuzes maken die een duurzaam rende¬ment realiseren. OPTIRas is gratis toegankelijk voor iedere teler op www.kennisakker.nl. Kennisakker is de internetsite voor de teler die op de hoogte wil zijn van de actuele kennisontwikkelingen in de akkerbouw. Het door de teler gezaaide onderzoek wordt geoogst op Kennisakker.nl.
DOCUMENT
