New larval host records for Tortricidae (Lepidoptera) from an Ecuadorian Andean cloud forest

A biological inventory focused on plant-caterpillar-parasitoid associations at Yanayacu Biological Station, Ecuador, yielded 81 adult specimens of Tortricidae (Lepidoptera: Tortricoidea) representing 42 species in 13 genera. Based on this material, new host records are presented for species in the following genera: Lypothora Razowski, 1981; Inape Razowski, 1988; Orthocomotis Dognin, 1905; Paraptila Meyrick, 1912; Runtunia Razowski and Wojtusiak, 2008; Transtillaspis Razowski, 1987; Xoser Razowski and Pelz, 2003; Argyrotaenia Stephens, 1852; Anacrusis Zeller, 1877; Sisurcana Powell, 1986; Amorbia Clemens, 1860; Paramorbia Powell and Lambert, 1986; and Episimus Walsingham, 1892. Tortricids were reared from 46 plant species representing 24 plant families, with Piperaceae, Melastomataceae, and Asteraceae supporting the most tortricid herbivores (six species each). Un inventario biológico centrado en relaciones parasitoide-oruga-planta desarrollado en la Estación Biológica de Yanayacu, en Ecuador, dio lugar a 81 ejemplares adultos de Tortricidae (Lepidoptera: Tortricoidea) representativos de 13 géneros y 42 especies. Basándose en este material, se presentan nuevos registros de plantas huésped para especies de los siguientes géneros: Lypothora Razowski, 1981; Inape Razowski, 1988; Orthocomotis Dognin, 1905; Paraptila Meyrick, 1912; Runtunia Razowski y Wojtusiak, 2008; Transtillaspis Razowski, 1987; Xoser Razowski y Pelz, 2003; Argyrotaenia Stephens, 1852; Anacrusis Zeller, 1877; Sisurcana Powell, 1986; Amorbia Clemens, 1860; Paramorbia Powell y Lambert, 1986; y Episimus Walsingham, 1892. Los tortrícidos se criaron a partir de 46 especies de plantas representativas de 24 familias de plantas. Las familias Piperaceae, Melastomataceae y Asteraceae resultaron ser las que soportan la mayor parte de los tortrícidos (seis especies cada una)

New larval host records for Tortricidae (Lepidoptera) from an Ecuadorian Andean cloud forest

A biological inventory focused on plant-caterpillar-parasitoid associations at Yanayacu Biological Station, Ecuador, yielded 81 adult specimens of Tortricidae (Lepidoptera: Tortricoidea) representing 42 species in 13 genera. Based on this material, new host records are presented for species in the following genera: Lypothora Razowski, 1981; Inape Razowski, 1988; Orthocomotis Dognin, 1905; Paraptila Meyrick, 1912; Runtunia Razowski and Wojtusiak, 2008; Transtillaspis Razowski, 1987; Xoser Razowski and Pelz, 2003; Argyrotaenia Stephens, 1852; Anacrusis Zeller, 1877; Sisurcana Powell, 1986; Amorbia Clemens, 1860; Paramorbia Powell and Lambert, 1986; and Episimus Walsingham, 1892. Tortricids were reared from 46 plant species representing 24 plant families, with Piperaceae, Melastomataceae, and Asteraceae supporting the most tortricid herbivores (six species each). Un inventario biológico centrado en relaciones parasitoide-oruga-planta desarrollado en la Estación Biológica de Yanayacu, en Ecuador, dio lugar a 81 ejemplares adultos de Tortricidae (Lepidoptera: Tortricoidea) representativos de 13 géneros y 42 especies. Basándose en este material, se presentan nuevos registros de plantas huésped para especies de los siguientes géneros: Lypothora Razowski, 1981; Inape Razowski, 1988; Orthocomotis Dognin, 1905; Paraptila Meyrick, 1912; Runtunia Razowski y Wojtusiak, 2008; Transtillaspis Razowski, 1987; Xoser Razowski y Pelz, 2003; Argyrotaenia Stephens, 1852; Anacrusis Zeller, 1877; Sisurcana Powell, 1986; Amorbia Clemens, 1860; Paramorbia Powell y Lambert, 1986; y Episimus Walsingham, 1892. Los tortrícidos se criaron a partir de 46 especies de plantas representativas de 24 familias de plantas. Las familias Piperaceae, Melastomataceae y Asteraceae resultaron ser las que soportan la mayor parte de los tortrícidos (seis especies cada una)

Agronomic biofortification with magnesium nanofertilizer and its effect on the nutritional quality of beans

Crop quality has been compromised due to nutrient deficiencies. The macronutrient magnesium (Mg) is essential; however, it has not been considered in agronomic fertilization programs, affecting human health. The objective of the study was to increase the Mg content in the fruits of green beans cv. ‘Strike’ by applying Mg-nanofertilizer, as well as evaluating its effect on growth, performance and nutritional quality, versus magnesium sulfate (MgSO4). The experiment was carried out under shade mesh conditions in Delicias, Chihuahua, Mexico during the period August-October 2022. A completely randomized experimental design was used, with two Mg sources: Mg nanofertilizer (NanoMg) and MgSO4 at doses of 50, 100 and 200 ppm and a control without application, forming seven treatments with six repetitions each. The results indicate that the maximum yield was provided by NanoMg and MgSO4 at 200 ppm, with values greater than 300%. The Mg distribution pattern for the NanoMg treatments presented the following concentration order: root>leaf>stem>fruit; while, for the MgSO4 treatments it was: leaf>root>stem>fruit. The most efficient treatment in increasing the Mg content in the fruit was NanoMg at 200 ppm, which achieved a biofortification of more than 120% with respect to the control. Therefore, when consuming 100 g of green beans cv. ‘Strike’ biofortified by NanoMg, the recommended daily needs of the human being could be satisfied. Finally, it is concluded that nanofertilizers are the best option for a biofortification program since they offer a sustainable alternative by increasing productivity and quality in green bean fruits

A micrometeorological data base for the Mexico City Metropolitan Area

In order to overcome the lack of the surface micrometeorological data required for air quality studies in the Mexico City Metropolitan Area (MCMA), a long-term micrometeorological campaign was carried out in this area along the 2001-year. Three micrometeorological surface stations were installed at sites located at north, north-east, and south sectors of the MCMA. Each station was equipped with a 3D ultrasonic turbulence sensor and with conventional meteorological sensors for temperature, relative humidity, pressure, global radiation, net radiation, and rain. The sampling rates were 10 Hz for the ultrasonic sensor, and 1 Hz for the conventional sensors. One-hour averages were calculated for all the meteorological parameters and for the turbulence parameters such as friction velocity, scale temperature, Monin-Obukhov length, sensible heat flux and turbulent kinetic energy, among others. A simple micrometeorological database was prepared and mounted on a free access Internet page to furnish a specialized tool to the local Authorities to be utilized in health prevention and pollution regulation applications

SP(k) - A hydrodynamical simulation-based model for the impact of baryon physics on the non-linear matter power spectrum

Upcoming large-scale structure surveys will measure the matter power spectrum to approximately percent level accuracy with the aim of searching for evidence for new physics beyond the standard model of cosmology. In order to avoid biasing our conclusions, the theoretical predictions need to be at least as accurate as the measurements for a given choice of cosmological parameters. However, recent theoretical work has shown that complex physical processes associated with galaxy formation (particularly energetic feedback processes associated with stars and especially supermassive black holes) can alter the predictions by many times larger than the required accuracy. Here we present SP(k), a model for the effects of baryon physics on the non-linear matter power spectrum based on a new large suite of hydrodynamical simulations. Specifically, the ANTILLES suite consists of 400 simulations spanning a very wide range of the ‘feedback landscape’ and show that the effects of baryons on the matter power spectrum can be understood at approaching the percent level in terms of the mean baryon fraction of haloes, at scales of up to k  ≲  10h Mpc−1 and redshifts up to z = 3. For the range of scales and redshifts that will be probed by forthcoming cosmic shear measurements, most of the effects are driven by galaxy group-mass haloes (M ∼ 1013 − 14 M⊙). We present a simple Python implementation of our model, available at https://github.com/jemme07/pyspk, which can be used to incorporate baryon effects in standard gravity-only predictions, allowing for marginalisation over baryon physics within cosmological pipelines

SP(k) -- A hydrodynamical simulation-based model for the impact of baryon physics on the non-linear matter power spectrum

Upcoming large-scale structure surveys will measure the matter power spectrum to approximately percent level accuracy with the aim of searching for evidence for new physics beyond the standard model of cosmology. In order to avoid biasing our conclusions, the theoretical predictions need to be at least as accurate as the measurements for a given choice of cosmological parameters. However, recent theoretical work has shown that complex physical processes associated with galaxy formation (particularly energetic feedback processes associated with stars and especially supermassive black holes) can alter the predictions by many times larger than the required accuracy. Here we present SP(k), a model for the effects of baryon physics on the non-linear matter power spectrum based on a new large suite of hydrodynamical simulations. Specifically, the ANTILLES suite consists of 400 simulations spanning a very wide range of the ‘feedback landscape’ and show that the effects of baryons on the matter power spectrum can be understood at approaching the percent level in terms of the mean baryon fraction of haloes, at scales of up to k  ≲  10h Mpc−1 and redshifts up to z = 3. For the range of scales and redshifts that will be probed by forthcoming cosmic shear measurements, most of the effects are driven by galaxy group-mass haloes (M ∼ 1013 − 14 M⊙). We present a simple Python implementation of our model, available at https://github.com/jemme07/pyspk, which can be used to incorporate baryon effects in standard gravity-only predictions, allowing for marginalisation over baryon physics within cosmological pipelines

The BAHAMAS project: Evaluating the accuracy of the halo model in predicting the non-linear matter power spectrum

The halo model formalism is widely adopted in cosmological studies for predicting the growth of large-scale structure in the Universe. However, to date there have been relatively few direct comparisons of the halo model with more accurate (but much more computationally expensive) cosmological simulations. We test the accuracy of the halo model in reproducing the non-linear matter power spectrum, P(k), when the main inputs of the halo model (specifically the matter density profiles, halo mass function, and linear bias) are taken directly from the BAHAMAS simulations and we assess how well the halo model reproduces P(k) from the same simulations. We show that the halo model generally reproduces P(k) in the deep non-linear regime (1-halo) to typically a few percent accuracy, but struggles to reproduce (approx. 15% error) P(k) at intermediate scales of 0.1 < k [h/ Mpc] < 3 at z=0, marking the transition between the 1-halo and 2-halo terms. We show that the magnitude of this error is a strong function of the halo mass definition (through its effects on radial extent of haloes) and of redshift. Furthermore, we test the accuracy of the halo model in recovering the relative impact of baryons on P(k). We show that the systematic errors in recovering the absolute P(k) largely cancel when considering the relative impact of baryons. This suggests that the halo model can make precise predictions for the baryonic suppression, offering a fast and accurate way to adjust collisionless matter power spectra for the presence of baryons and associated processes

Biofortification with magnesium nanofertilizer on bioactive compounds and antioxidant capacity in green beans

The use of nanofertilizers has the potential to be used to enrich edible organs with nutrients (biofortification) and improve the biosynthesis of bioactive compounds and their antioxidant capacity. Therefore, the objective of this study was to evaluate the effect of biofortification with magnesium (Mg) nanofertilizer on the accumulation of bioactive compounds and antioxidant capacity in green bean cv. Strike compared to a conventional fertilizer (Mg sulfate). Two sources of Mg were applied via foliar: Nanofertilizer and Mg Sulfate at doses of 0, 50, 100, 200, and 300 mg/L of Mg. The accumulation of total polyphenols, flavonoids, anthocyanins, bioactive compounds, and antioxidant capacity was evaluated in pods. The results obtained in this research confirm the effect of green bean pods biofortified with Mg nanofertilizers on the production and accumulation of bioactive compounds and antioxidant capacity, improving the nutrition and nutraceutical quality of green beans. The 50 mg/L dose of Mg nanofertilizer was the most effective treatment to increase bioactive compounds and antioxidant capacity compared to high doses of Mg sulfate (300 mg/L). This is one of the first studies focused on biofortification with Mg nanofertilizers and their effect on the nutraceutical quality of green beans