Farming Within Limits

Global agricultural production is alarmingly unsustainable. Manipulating living beings, their genetics, and entire ecosystems to produce food has always been a technological feat. Advancements in farming technology have made it possible to surpass critical thresholds of planetary sustainability. Technological change in agriculture generates tension between those who benefit and those who bear the costs. Agriculture produces more than enough to feed the world’s human population, but the global economy allocates food inequitably among people and redirects food to industrial feedlots, biofuel refineries, and the waste stream. Technical solutions alone cannot fix the underlying socioeconomic systems that produce unjust and unsustainable food systems. Here we offer a starting point to guide the assessment of agricultural technology for both sustainability and justice, starting with their relationship to the logic of growth and domination that got us here. How can technology serve system change? And how can farming transform the unjust systems it literally feeds

Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science During the LAPSE-RATE Campaign

Small unmanned aircraft systems (sUAS) are rapidly transforming atmospheric research. With the advancement of the development and application of these systems, improving knowledge of best practices for accurate measurement is critical for achieving scientific goals. We present results from an intercomparison of atmospheric measurement data from the Lower Atmospheric Process Studies at Elevation—a Remotely piloted Aircraft Team Experiment (LAPSE-RATE) field campaign. We evaluate a total of 38 individual sUAS with 23 unique sensor and platform configurations using a meteorological tower for reference measurements. We assess precision, bias, and time response of sUAS measurements of temperature, humidity, pressure, wind speed, and wind direction. Most sUAS measurements show broad agreement with the reference, particularly temperature and wind speed, with mean value differences of 1.6 ± 2.6 °C and 0.22 ± 0.59 m/s for all sUAS, respectively. sUAS platform and sensor configurations were found to contribute significantly to measurement accuracy. Sensor configurations, which included proper aspiration and radiation shielding of sensors, were found to provide the most accurate thermodynamic measurements (temperature and relative humidity), whereas sonic anemometers on multirotor platforms provided the most accurate wind measurements (horizontal speed and direction). We contribute both a characterization and assessment of sUAS for measuring atmospheric parameters, and identify important challenges and opportunities for improving scientific measurements with sUAS

Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project-imputed genotype data in up to similar to 370,000 women, we identify 389 independent signals (P <5 x 10(-8)) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain similar to 7.4% of the population variance in age at menarche, corresponding to similar to 25% of the estimated heritability. We implicate similar to 250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility

Genome-wide analysis identifies 12 loci influencing human reproductive behavior.

The genetic architecture of human reproductive behavior-age at first birth (AFB) and number of children ever born (NEB)-has a strong relationship with fitness, human development, infertility and risk of neuropsychiatric disorders. However, very few genetic loci have been identified, and the underlying mechanisms of AFB and NEB are poorly understood. We report a large genome-wide association study of both sexes including 251,151 individuals for AFB and 343,072 individuals for NEB. We identified 12 independent loci that are significantly associated with AFB and/or NEB in a SNP-based genome-wide association study and 4 additional loci associated in a gene-based effort. These loci harbor genes that are likely to have a role, either directly or by affecting non-local gene expression, in human reproduction and infertility, thereby increasing understanding of these complex traits

Apoptotic signalling targets the post-endocytic sorting machinery of the death receptor Fas/CD95

Fas plays a major role in regulating ligand-induced apoptosis in many cell types. It is well known that several cancers demonstrate reduced cell surface levels of Fas and thus escape a potential control system via ligand-induced apoptosis, although underlying mechanisms are unclear. Here we report that the endosome associated trafficking regulator 1 (ENTR1), controls cell surface levels of Fas and Fas-mediated apoptotic signalling. ENTR1 regulates, via binding to the coiled coil domain protein Dysbindin, the delivery of Fas from endosomes to lysosomes thereby controlling termination of Fas signal transduction. We demonstrate that ENTR1 is cleaved during Fas-induced apoptosis in a caspase-dependent manner revealing an unexpected interplay of apoptotic signalling and regulation of endolysosomal trafficking resulting in a positive feedback signalling-loop. Our data provide insights into the molecular mechanism of Fas post-endocytic trafficking and signalling, opening possible explanations on how cancer cells regulate cell surface levels of death receptors

Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project–imputed genotype data in up to ~370,000 women, we identify 389 independent signals (P < 5 × 10$^{−8}$) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain ~7.4% of the population variance in age at menarche, corresponding to ~25% of the estimated heritability. We implicate ~250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility

Agricultural adaptation and mitigation review: Evidence for synergies and tradeoffs

Presentation by Lindsay Barbieri, University of Vermont International conference on agricultural emissions and food security: Connecting research to policy and practice 10-13 September 2018 Berlin, German

Shaping Soil: Examining Relationships Between Agriculture And Climate Change

As the ripple-effects of a changing climate shape our planet, understanding relationships between agriculture and climate change is critical. With agricultural practices shaping soils on over a third of the earth’s land surface, the soils and lands where food is produced are integral grounds for examining these relationships. While not all humans practice agriculture in similar or damaging ways, nevertheless, dominant agricultural practices are displacing beings and ecosystems and perturbing global nutrient cycles across the planet. These entwined imbalances of dominance and nutrients result in flows of excess nitrogen, phosphorus, and carbon that are responsible for nearly three-fourths of the eutrophication of global waters and 12% of the greenhouse gas emissions driving climate change. Yet, some agricultural practices can help mitigate these negative impacts while supporting food cultivation. This dissertation endeavors to contribute important understandings of agricultural practices and their effects on soil and nutrient flows in three ways. First, an assessment of scientific evidence for climate change adaptation and mitigation reveals a potentially worrying lack of robust evidence for synergies between the two objectives, along with a narrow focus on productivist outcomes. Second, a three-year field experiment measuring nutrient flows from dominant agricultural systems in the Northeastern United States reveals the complication that some soil practices implemented for reducing nutrient runoff emit more greenhouse gases. Third, the use of emerging technologies reveals new ways to both monitor difficult-to-measure greenhouses gases and to consider the roles of technology in mediating nutrient flows. Agricultural practices shape logics that in turn shape technologies and practices, and thus these examinations together deepen understandings of agricultural relationships that are particularly important for climate change mitigation

ICT, Agricultural Development and Environmental Justice

<b>Abstract: </b>Within the overarching context of accelerating ecological crises and technological change, information and communication technologies (ICT) have the potential to transform decision-making in environmental management. While there are opportunities for strengthening participatory processes in data collection and information access, the dangers of emerging ICT-centered environmental monitoring are profound. One risk is the ossification of already deep divides in access to and control over natural resources. Here we focus on data sovereignty and decision-making criteria that are embedded within nontransparent systems, specifically considering the use of ICTs in data collection for environmental sustainability. We explore these issues in two agricultural settings: Vermont and Ethiopia. First, we articulate the social-ecological challenges that ICT is employed to solve. Second, we identify and discuss the points in the data lifecycle that are problematic. Third, we connect these points to broader questions of information systems within the context of global sustainable development. Finally, we explore the application of an environmental justice lens to ask: how can we do the least damage and support concerns about data sovereignty?<div><br></div><div>This poster was presented at ICT4S 2018. </div