Produção e composição bromatológica de forrageiras em sistema de integração lavoura‑pecuária em diferentes épocas de semeadura

The objective of this work was to evaluate the dry matter yield and chemical composition of forage in crop-livestock integration, according to different sowing dates. A randomized experimental block design in a 4x3 factorial scheme was used, with four forage plants (palisadegrass, Urochloa brizantha; fox millet, Setaria italica; pearl millet, Pennisetum glaucum; and sorghum, Sorghum bicolor) sowed on three dates, in two season (winter/spring and summer/autumn), in succession to soybean. The pearl millet and sorghum produced the highest amount of dry matter in all sowing dates, at both growing seasons and, contrary to palisadegrass and fox millet, it did not reduce the amount of total digestible nutrients. Crude protein levels decreased with the advancement of sowing dates in winter/spring and increased in summer/autumn, except for palisadegrass and pearl millet. Sorghum showed the lowest concentrations of neutral detergent fiber in the second and third sowing dates in winter/spring, and in the first sowing date in summer/autumn. In the second and third sowing dates in winter/spring, sorghum showed the lowest content of acid detergent fiber. In relation to the cell wall components, only the hemicellulose contents did not change in the forages due to sowing dates, at both seasons.O objetivo deste trabalho foi avaliar a produção de matéria seca e a composição bromatológica de forrageiras em sistema de integração lavoura-pecuária, em diferentes datas de semeadura. Foi usado delineamento experimental de blocos ao acaso, em esquema fatorial 4x3, com quatro forrageiras – braquiária, Urochloa brizantha; capim-moa, Setaria italica; milheto, Pennisetum glaucum; e sorgo forrageiro, Sorghum bicolor – semeadas em três datas nas estações inverno/primavera e verão/outono, em sucessão à soja. O milheto e o sorgo forrageiro produziram maior quantidade de matéria seca em todas as datas de semeadura, nas duas estações de cultivo e, ao contrário da braquiária e do capim-moa, não diminuíram o teor de nutrientes digestíveis totais no inverno/primavera. Os teores de proteína bruta reduziram com o avanço das datas de semeadura no inverno/primavera e aumentaram no verão/outono, exceto para braquiária e milheto. O sorgo apresentou os menores teores de fibras em detergente neutro nas segunda e terceira datas de semeadura no inverno/primavera, e na primeira data de semeadura no verão/outono. Nas segunda e terceiras datas do inverno/primavera, o sorgo apresentou menor teor de fibras em detergente ácido. Quanto aos constituintes da parede celular, apenas os teores de hemicelulose não se alteram nas forrageiras em virtude das datas de semeadura, em ambas as estações

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Studies of the mass composition of cosmic rays and proton-proton interaction cross-sections at ultra-high energies with the Pierre Auger Observatory

In this work, we present an estimate of the cosmic-ray mass composition from the distributions of the depth of the shower maximum (Xmax) measured by the fluorescence detector of the Pierre Auger Observatory. We discuss the sensitivity of the mass composition measurements to the uncertainties in the properties of the hadronic interactions, particularly in the predictions of the particle interaction cross-sections. For this purpose, we adjust the fractions of cosmic-ray mass groups to fit the data with Xmax distributions from air shower simulations. We modify the proton-proton cross-sections at ultra-high energies, and the corresponding air shower simulations with rescaled nucleus-air cross-sections are obtained via Glauber theory. We compare the energy-dependent composition of ultra-high-energy cosmic rays obtained for the different extrapolations of the proton-proton cross-sections from low-energy accelerator data

Study of downward Terrestrial Gamma-ray Flashes with the surface detector of the Pierre Auger Observatory

The surface detector (SD) of the Pierre Auger Observatory, consisting of 1660 water-Cherenkov detectors (WCDs), covers 3000 km2 in the Argentinian pampa. Thanks to the high efficiency of WCDs in detecting gamma rays, it represents a unique instrument for studying downward Terrestrial Gamma-ray Flashes (TGFs) over a large area. Peculiar events, likely related to downward TGFs, were detected at the Auger Observatory. Their experimental signature and time evolution are very different from those of a shower produced by an ultrahigh-energy cosmic ray. They happen in coincidence with low thunderclouds and lightning, and their large deposited energy at the ground is compatible with that of a standard downward TGF with the source a few kilometers above the ground. A new trigger algorithm to increase the TGF-like event statistics was installed in the whole array. The study of the performance of the new trigger system during the lightning season is ongoing and will provide a handle to develop improved algorithms to implement in the Auger upgraded electronic boards. The available data sample, even if small, can give important clues about the TGF production models, in particular, the shape of WCD signals. Moreover, the SD allows us to observe more than one point in the TGF beam, providing information on the emission angle

The dynamic range of the upgraded surface-detector stations of AugerPrime

The detection of ultra-high-energy cosmic rays by means of giant detector arrays is often limited by the saturation of the recorded signals near the impact point of the shower core at the ground, where the particle density dramatically increases. The saturation affects in particular the highest energy events, worsening the systematic uncertainties in the reconstruction of the shower characteristics. The upgrade of the Pierre Auger Observatory, called AugerPrime, includes the installation of an 1-inch Small PhotoMultiplier Tube (SPMT) inside each water-Cherenkov station (WCD) of the surface detector array. The SPMT allows an unambiguous measurement of signals down to about 250m from the shower core, thus reducing the number of events featuring a saturated station to a negligible level. In addition, a 3.8m2 plastic scintillator (Scintillator Surface Detector, SSD) is installed on top of each WCD. The SSD is designed to match the WCD (with SPMT) dynamic range, providing a complementary measurement of the shower components up to the highest energies. In this work, the design and performances of the upgraded AugerPrime surface-detector stations in the extended dynamic range are described, highlighting the accuracy of the measurements. A first analysis employing the unsaturated signals in the event reconstruction is also presented