Articles publicats (Agrotecnio Center)
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Agrotecnio aims to become a reference in Europe addressing all the key elements of the food production chain in an integrated way focusing on target crops and animals of commercial importance, rather than model systems. This later aspect sets our centre apart from other centers which focus on fundamental science and/or model plant and animal systems. As a result we should be able to address fundamental and important questions in the crop/animal of interest and results from our research will be directly and immediately applicable to our target organism. [Més informació]
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- ItemOpen AccessAssessing the in vitro efficiency in adsorbing mycotoxins of a tri-octahedral bentonite with potential application in aquaculture feed.(Taylor and Francis, 2025-01-21) Pascari, Xenia; Teixido-Orries, Irene; Molino Gahete, Francisco; Marín Sillué, Sònia; Ramos Girona, Antonio J.The use of mycotoxin binders in feed products is currently the most efficient method to mitigate the harmful effects of mycotoxins. The unprecedented growth of aquaculture in recent years has led to an increased use of plant-based ingredients in fish feeds, thereby raising the risk of mycotoxin exposure. This study investigates the in vitro adsorption efficiency of a tri-octahedral bentonite against aflatoxin B1 (AFB1), zearalenone (ZEN), and fumonisin B1 (FB1) in simulated gastric (pH = 1.2) and intestinal (pH = 6.8) fluids at 25 °C, the usual body temperature in aquaculture fish species. The binder was highly effective, removing over 98% of AFB1 from both media. FB1 was completely adsorbed at pH = 1.2, while its adsorption at pH = 6.8 reached a maximum of 46.3%. ZEN binding was consistent across both pH levels, ranging from 56.1% to 69.7%. Nine equilibrium isotherm functions were fitted to the experimental data to elucidate the adsorption mechanisms. A Sips model isotherm best characterized AFB1 adsorption in simulated gastric fluid, whereas that of ZEN was best described by the Freundlich model. In simulated intestinal fluid (pH = 6.8), monolayer adsorption described by the Langmuir model provided the best fit for all three mycotoxins.
- ItemOpen AccessMelatonin treatment at dry-off reduces postpartum shedding of coccidia in primiparous dairy cows and their calves(MDPI, 2024) López Gatius, Fernando; Ganau, Sergi; Mora-Garcia, Maria; García Ispierto, IrinaCoccidiosis is a protozoan disease that causes diarrhea in cattle. This study examines the impact of treating pregnant cows at dry-off with melatonin on postpartum coccidia excretion in dams and their calves. The study population comprised 106 primiparous lactating dairy cows: 53 controls and 53 receiving melatonin on days 220-226 of gestation, plus 99 calves: 52 born from control and 47 from treated dams. Feces samples were collected from each dam on gestation days 220-226 and on days 10-16 and 30-36 postpartum; and from each calf on days 10-16 and 30-36 of age. Postpartum rates of high excretion of oocysts per gram (OPG) (feces counts > 5000) were significantly lower (p < 0.01) in treated than control dams. Low excretion rates of OPG (<2000) were significantly higher (p < 0.01) in the melatonin treatment than control groups in dams on days 30-36 of lactation and in calves at 10-16 and 30-36 days of life. In conclusion, melatonin treatment in lactating cows at dry-off reduced coccidia shedding in dams and their calves during the early postpartum period.
- ItemOpen AccessHigh-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress(Frontiers Media SA, 2024) Mérida-García, Rosa; Gálvez, Sergio; Solís, Ignacio; Martínez-Moreno, Fernando; Camino, Carlos; Soriano Soriano, José Miguel; Sansaloni, Carolina; Ammar, Karim; Bentley, Alison R.; Gonzalez-Dugo, Victoria; Zarco-Tejada, Pablo J.; Hernandez, PilarHigh-throughput phenotyping (HTP) provides new opportunities for efficiently dissecting the genetic basis of drought-adaptive traits, which is essential in current wheat breeding programs. The combined use of HTP and genome-wide association (GWAS) approaches has been useful in the assessment of complex traits such as yield, under field stress conditions including heat and drought. The aim of this study was to identify molecular markers associated with yield (YLD) in elite durum wheat that could be explained using hyperspectral indices (HSIs) under drought field conditions in Mediterranean environments in Southern Spain. The HSIs were obtained from hyperspectral imagery collected during the pre-anthesis and anthesis crop stages using an airborne platform. A panel of 536 durum wheat lines were genotyped by sequencing (GBS, DArTseq) to determine population structure, revealing a lack of genetic structure in the breeding germplasm. The material was phenotyped for YLD and 19 HSIs for six growing seasons under drought field conditions at two locations in Andalusia, in southern Spain. GWAS analysis identified 740 significant marker-trait associations (MTAs) across all the durum wheat chromosomes, several of which were common for YLD and the HSIs, and can potentially be integrated into breeding programs. Candidate gene (CG) analysis uncovered genes related to important plant processes such as photosynthesis, regulatory biological processes, and plant abiotic stress tolerance. These results are novel in that they combine high-resolution hyperspectral imaging at the field scale with GWAS analysis in wheat. They also support the use of HSIs as useful tools for identifying chromosomal regions related to the heat and drought stress response in wheat, and pave the way for the integration of field HTP in wheat breeding programs.
- ItemOpen AccessEnvironmental drivers and remote sensing proxies of post-fire thaw depth in eastern Siberian larch forests(Copernicus Publications, 2024) Diaz, Lucas R.; Delcourt, Clement J. F.; Langer, Moritz; Loranty, Michael M.; Rogers, Brendan M.; Scholten, Rebecca C.; Shestakova, Tatiana A.; Talucci, Anna C.; Vonk, Jorien E.; Wangchuk, Sonam; Veraverbeke, SanderBoreal fire regimes are intensifying because of climate change, and the northern parts of boreal forests are underlain by permafrost. Boreal fires combust vegetation and organic soils, which insulate permafrost, and as such deepen the seasonally thawed active layer and can lead to further carbon emissions to the atmosphere. Current understanding of the environmental drivers of post-fire thaw depth is limited but of critical importance. In addition, mapping thaw depth over fire scars may enable a better understanding of the spatial variability in post-fire responses of permafrost soils. We assessed the environmental drivers of post-fire thaw depth using field data from a fire scar in a larch-dominated forest in the continuous permafrost zone in eastern Siberia. Particularly, summer thaw depth was deeper in burned (meanCombining double low line127.3 cm, standard deviation (SD) Combining double low line 27.7 cm) than in unburned (98.1 cm, SDCombining double low line26.9 cm) landscapes 1 year after the fire, yet the effect of fire was modulated by landscape and vegetation characteristics. We found deeper thaw in well-drained upland, in open and mature larch forest often intermixed with Scots pine, and in high-severity burns. The environmental drivers basal area, vegetation density, and burn depth explained 73.3 % of the measured thaw depth variability at the study sites. In addition, we evaluated the relationships between field-measured thaw depth and several remote sensing proxies. Albedo, the differenced normalized burn ratio (dNBR), and the pre-fire normalized difference vegetation index (NDVI) derived from Landsat 8 imagery together explained 66.3 % of the variability in field-measured thaw depth. Moreover, land surface temperature (LST) displayed particularly strong correlations with post-fire thaw depth (rCombining double low line0.65, p<0.01). Based on these remote sensing proxies and multiple linear regression analysis, we estimated thaw depth over the entire fire scar. Our study reveals some of the governing processes of post-fire thaw depth development and shows the capability of Landsat imagery to estimate post-fire thaw depth at a landscape scale.
- ItemOpen AccessDetermination of diffusion coefficients through gels with non-negligible finite-volume effects in the compartments of the diffusion cell(Elsevier, 2024) Sans Duñó, Jordi; Cecilia, Joan; Galceran i Nogués, Josep; Puy Llorens, JaumeDiffusion cells are used to measure diffusion coefficients (DM) in gels. These measurements are of interest to understand and predict the availability of nutritive or toxic chemical species in waters, soils and sediments. When the diffusive flux from the donor to the acceptor compartment is constant (steady-state regime), DM is determined from the slope of the linear plot of the acceptor concentration vs time. However, at long enough times, there is a non-negligible concentration depletion in the donor compartment concomitant to a concentration increase in the acceptor compartment. Accordingly, the accumulation plot bends downwards preventing a linear fitting. This is the case of metals whose solubility (especially depending on pH values) limits the concentration in the donor compartment and the time required to reach concentrations above the limit of quantification in the acceptor compartment implies a non-negligible decrease of the concentration in the donor compartment. In this work, a simple linear regression is shown to provide the diffusion coefficient values from experiments exhibiting finite-volume effects. This expression is validated against rigorous numerical simulation as well as reported values in the literature. Diffusion coefficients of Zn, Ni and Pb in agarose cross-linked polyacrylamide (APA) gels (used in Diffusive Gradients in Thin-Film devices, DGT) are determined under finite-volume effects. The resulting values agree with those obtained under the standard linear regime.