Evaluation of Secondary and Micronutrients for Soybean Production in Kansas

Study of secondary and micronutrients is growing because of their potential contribution to yield increases. The objective of this study was to evaluate soybean response to secondary and micronutrient fertilizer application to maximize yields. A randomized complete block design was employed with four replications at five locations during 2013 and five locations in 2014. Treatments consisted of an unfertilized control; micronutrient fertilizer as individual nutrients for boron, copper, manganese, sulfur, and zinc; and a mix of these nutrients using two different placements (dry broadcast and liquid band). Soil samples were collected prior to planting and after harvest. Soybean trifoliates were collected at R2–R3 growth stage and analyzed for the micronutrients evaluated in this study. At harvest, nutrient concentration was analyzed in the seed, and yield was calculated at 13% moisture. No significant difference was found in yields between treatments by location or across locations. Results from tissue and grain analysis showed significant treatment effects on zinc concentrations across locations

Evaluation of Long-Term Phosphorus Fertilizer Placement Effect on Soil Phosphorus and Crop Yield

Phosphorus (P) accumulation in soil with long-term P fertilizer placements can result in a potentially large available reserve of this nutrient for subsequent crop production. This study investigated the effect of phosphorus fertilizer management (placement: broadcast versus deep band) after ten years on soil P, and yield response of crop rotation. Field studies were conducted for a period of ten years in Manhattan, KS. Three treatments were evaluated: 1) control with no P fertilizer application and two fertilizer treatments (80 lb P2O5/a); 2) surface broadcast; and 3) deep band at approximately 4- to 6-in. depth. All treatments received strip-tillage. After ten years, soil samples were collected from the row at two sampling depths (0–3 and 3–6 in.), and the soil P and grain yield of 2015 were evaluated. The accumulation of large amounts of soil P was directly affected by P fertilizer placement. The broadcast P fertilizer placement increased the soil P by the resin method in the topsoil (0–3 in.) and deep band in the subsoil (3–6 in.). Broadcast and deep band placements had the same effect on grain yield of corn and soybean, however, the deep band showed an average lower grain yield for wheat than broadcast

Moving ahead from food-related behaviours: an alternative approach to understand household food waste generation

Food waste prevention is a hot topic on the policy agenda. According to available data, urgent measures need to be undertaken to significantly reduce the current generation of food waste. However, it is important to thoroughly understand consumers' behaviour to define measures that will lead to a long-lasting change in the situation. The aim of the present work is to analyse consumer food waste behaviour by means of a model that brings together food-related and waste management variables. To do so, a survey was given to 418 consumers of the metropolitan area of Barcelona. Results show that food waste is directly influenced by purchasing discipline, waste prevention habits and materialism values and indirectly influenced by environmental values. This highlights the importance of addressing the problem from different perspectives and emphasizes the importance of considering this problem as a transversal element for policy makers. We suggest that household food waste prevention and reduction needs to be included as a key element in different policy areas.info:eu-repo/semantics/acceptedVersio

Millimagnitude Photometry for Transiting Extrasolar Planetary Candidates. V. Follow-up of 30 OGLE Transits. New Candidates

We used VLT/VIMOS images in the V band to obtain light curves of extrasolar planetary transits OGLE-TR-111 and OGLE-TR-113, and candidate planetary transits: OGLE-TR-82, OGLE-TR-86, OGLE-TR-91, OGLE-TR-106, OGLE-TR-109, OGLE-TR-110, OGLE-TR-159, OGLE-TR-167, OGLE-TR-170, OGLE-TR-171. Using difference imaging photometry, we were able to achieve millimagnitude errors in the individual data points. We present the analysis of the data and the light curves, by measuring transit amplitudes and ephemerides, and by calculating geometrical parameters for some of the systems. We observed 9 OGLE objects at the predicted transit moments. Two other transits were shifted in time by a few hours. For another seven objects we expected to observe transits during the VIMOS run, but they were not detected. The stars OGLE-TR-111 and OGLE-TR-113 are probably the only OGLE objects in the observed sample to host planets, with the other objects being very likely eclipsing binaries or multiple systems. In this paper we also report on four new transiting candidates which we have found in the data.Comment: 11 pages, 17 figures, accepted for publication in A&

Breeding for Resistance to Strike Leaf Blight (\u3ci\u3eScolecotrichum graminis\u3c/i\u3e) of Orchardgras in Argentina

A collection of orchardgrass (Dactylis glomerata) was screened under field conditions for resistance to strike leaf blight (SLB) caused by the fungus Scolecotrichum graminis. On the whole, thirty five entries from different countries were studied by sampling ten genotypes from each origin, clonally propagated and transplanted as spaced-plant trial in a randomized design with two replicates. Plants were periodically assessed during 1996 and 1997 by estimating disease severity (percentage of leaf affected). During 1997, disease severity data were used to calculate the area under disease progress curves (AUDPC) as a complementary attribute to screen for resistance to SLB. Important genetic differences were observed among different entries by analyzing the amount of symptoms through disease severity during 1996. Similarly, large differences were detected between entries when analyzed through AUDPC, none of them related to origin of germplasm. Results indicated that there should be good possibilities of selecting resistant genotypes to S. graminis from INTA Pergamino orchardgrass germoplasm collection

Multispectral images of peach related to firmness and maturity at harvest

wo multispectral maturity classifications for red soft-flesh peaches (‘Kingcrest’, ‘Rubyrich’ and ‘Richlady’ n = 260) are proposed and compared based on R (red) and R/IR (red divided by infrared) images obtained with a three CCD camera (800 nm, 675 nm and 450 nm). R/IR histograms were able to correct the effect of 3D shape on light reflectance and thus more Gaussian histograms were produced than R images. As fruits ripened, the R/IR histograms showed increasing levels of intensity. Reference measurements such as firmness and visible spectra also varied significantly as the fruit ripens, firmness decreased while reflectance at 680 nm increased (chlorophyll absorption peak)

Primary Care Behavioral Health Partnerships Advancing & Transforming Health Sciences (PCBH PATHS)

Purpose: Primary Care Behavioral Health Partnerships Advancing & Transforming Health Sciences (PCBH PATHS) is a workforce development pipeline project aimed at permanently augmenting UTRGV’s institutional capacity to address shortage of an Integrated Behavioral Health (IBH) competent workforce locally, regionally and nationally. Our initiative, aligned with UTRGV strategic priorities and key initiatives, will integrate basic(model specific strategy and operational elements), mid-level (role identity and profession specific behavioral competencies specific to each health profession), and advanced (behavioral medicine clinical skills) applications of the evidence based PCBH model of delivery. A PCBH focused delivery system (clinical and educational), in which primary care providers (PCPs) and behavioral health consultants (BHCs) are trained to provide routine, population-based, biopsychosocial care in the Rio Grande Valley (RGV) can increase parity for mental health access, minimize toxic effects of culturally bound stigma, reduce fragmentation of physical-mental health and stave off the effect of an expanding opioid use disorder (OUD) crisis. Description: The PCBH PATHS initiative is designed to impact 2,004 clinician learners, with 1,106 PCP trainees (FM, IM, Ob/Gyn FNP, PA, MS), 818 mental health provider (MHP) trainees, and 80 PCP/MHP practitioners in the RGV by 2024. Over the past four years, the evidence-based PCBH model has been implemented in FM and Ob/Gyn Residency programs clinically, to increase access to whole-health focused services for patients, and educationally, to increase physician competencies in PCBH to provide high quality whole-person care consistently. This initiative strengthens our existing commitment to expand the PCBH model across University of Texas Health Rio Grande Valley (UT Health RGV) primary and specialty care clinics to address physical and behavioral health disparities (e.g., diabetes, depression, pain management, opioid, and substance use issues) for a predominantly Latino population along the US-MX border. Partners: In partnership with all primary care provider training programs at UTRGV (PA, NP, Residents) and mental health provider training programs led by the Department of Counseling, this collaborative project will use institutional expertise and infrastructure capacity to integrate PCBH model focused education to augment existing training programs. Looking Ahead: By year 2024, PCBH PATHS will impact 2004 clinician learners, demonstrated by: Ten programs aligning PCBH PATHS to existing courses for a PCBH certificate PCP trainee programs adopting policies to require Medication Assisted Treatment(MAT)-Waiver for graduation An educational research database for tracking % of PCP/MHP graduates completing the PCBH PATHS certificate; % of PCBH PATHS grads practicing in a Medically Underserved Community (MUC); % of grads practicing MAT; % of PCBH PATHS grads intending to practice / champion PCBH•6 PCBH sustained clinics: Demonstrated cost-savings through prospective, case-control design Sustaining wellness committees and practices as part of PCBH PATHS implementation 8 durable, HRSA-priority deliverables, for replicating PCBH PATHS at other institution

Monitoring storm evolution using a high-density seismic network

Data acquired by a dense seismic network deployed in the Cerdanya basin (Eastern Pyrenees) is used to track the temporal and spatial evolution of meteorological events such as rainfall episodes or thunderstorms. Comparing seismic and meteorological data, we show that for frequencies above 40 Hz, the dominant source of seismic noise is rainfall and hence the amplitude of the seismic data can be used as a proxy of rainfall. The interstation distance of 1.5 km provides an unprecedented spatial resolution of the evolution of rainfall episodes along the basin. Two specific episodes, one dominated by stratiform rain and the second one dominated by convective rain, are analyzed in detail, using high resolution disdrometer data from a meteorological site near one of the seismic instruments. Seismic amplitude variations follow a similar evolution to radar reflectivity values, but in some stratiform precipitation cases, it differs from the radar-derived precipitation estimates in this region of abrupt topography, where radar may suffer antenna beam blockage. Hence, we demonstrate the added value of seismic data to complement other sources of information such as rain-gauge or weather radar observations to describe the evolution of ground-level rainfall fields at high spatial and temporal resolution. The seismic power and the rainfall intensity have an exponential relationship and the periods with larger seismic power are coincident. The time intervals with rain drops diameters exceeding 3.5 mm do not result in increased seismic amplitudes, suggesting that there is a threshold value from which seismic data are no longer proportional to the size of the drops. Thunderstorms can be identified by the recording of the sonic waves generated by thunders, with. Single thunders detected to distances of a few tens of kilometers. As the propagation of these acoustic waves is expected to be strongly affected by parameters as air humidity, temperature variations or wind, the seismic data could provide an excellent tool to investigate atmospheric properties variations during thunderstorms