Centro de Investigación y Tecnología Agroalimentaria de Aragón
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Cartel de la Jornada: Iniciativas Colectivas de transformación agroalimentaria
No full textActuación subvencionada por el Gobierno de España y el Gobierno de Aragón con cargo al Fondo de Inversiones de Terue
Spatio-temporal distribution of Eichhornia crassipes (Mart.) Solms through remote sensing in La Turbina lagoon, Cuba
Full text linkThe early detection of invasive exotic plant species is essential for planning management and mitigation strategies. The primary objective of this study is to evaluate the spatio-temporal distribution of Eichhornia crassipes (Mart.) Solms, in La Turbina lagoon, using Sentinel-2 satellite images (period 2021-2023). The spectral bands of the visible, red edge, near infrared and shortwave infrared regions were used as input data in three machine learning algorithms during the classification process. The relationship between plant coverage and air temperature and precipitation have been analyzed. The model combining spectral bands and the selected spectral indices using the Random Forest recursive elimination method was the most efficient in the detection of E. crassipes. The months with the least coverage of E. crassipes were December 2022, January and March 2023, due to mechanized cleaning actions. E. crassipes is concentrated in the Northeast and Southwest of the lagoon, as an emerging macrophyte. The direction of the wind and human intervention has determined the spatio-temporal distribution of this plant. Based on these results, it is recommended to confine E. crassipes, in its condition as a floating macrophyte, to the deepest areas of La Turbina.The early detection of invasive exotic plant species is essential for
planning management and mitigation strategies. The primary objective
of this study is to evaluate the spatio-temporal distribution of Eichhornia
crassipes (Mart.) Solms, in La Turbina lagoon, using Sentinel-2 satellite
images (period 2021-2023). The spectral bands of the visible, red
edge, near infrared and shortwave infrared regions were used as input
data in three machine learning algorithms during the classification
process. The relationship between plant coverage and air temperature
and precipitation have been analyzed. The model combining spectral
bands and the selected spectral indices using the Random Forest
recursive elimination method was the most efficient in the detection of
E. crassipes. The months with the least coverage of E. crassipes were
December 2022, January and March 2023, due to mechanized cleaning
actions. E. crassipes is concentrated in the Northeast and Southwest of
the lagoon, as an emerging macrophyte. The direction of the wind and
human intervention has determined the spatio-temporal distribution of this plant. Based on these results, it is recommended to confine E. crassipes, in its condition as a floating
macrophyte, to the deepest areas of La Turbina.La investigación se desarrolló en el marco del Proyecto Territorial PT: 121CA003-005. “Evaluación del uso y manejo de las plantas acuáticas invasoras Pistia stratiotes L. y Eichhornia crassipes (Mart.) Solms como alternativa para su empleo en la agricultura urbana en Ciego de Ávila”imágenes satelitalesSentinelmacrófita flotantecoberturaplantas invasorasmanejoCubasatellite imagesSentinelfloating macrophytecoverageinvasive plantmanagementCubaPublishe
Retos del futuro de la mejora genética del almendro en el CITA de Aragón
Full text linkEl programa de mejora genética del CITA ha perseguido desde hace años la mejora del cultivo a través de la introducción de variedades de floración tardía y extratardía, la calidad de la almendra como un objetivo prioritario, la elección del patrón como un factor determinante en el diseño de las plantaciones modernas y, actualmente, incorpora las herramientas biotecnológicas, implementando estrategias -ómicas que permitirán la selección precisa de los caracteres de interés para el futuro del cultivo.Publishe
Análisis genómico de perros con epilepsia idiopática, modelo natural de la enfermedad humana
Full text linkPerroepilepsiagenómicaendogamiaPublishe
La fertilización nitrogenada aumenta a corto plazo la calidad del suelo en sistemas intensificados de maíz en regadío
Full text linkAim of study: This study had a double objective that consisted of: (i) assessing the effects of N fertilisation on soil quality under different cropping systems (monocropping vs. double-annual cropping systems) under irrigated maize conditions; and (ii) identifying soil parameters related to soil quality that respond quickly to short-term management changes in Mediterranean irrigated maize systems.
Area of study: Zaragoza province, Spain
Material and methods: The field experiment involved a strip plot design with three growing systems – maize monoculture (MM), pea-maize (PM), and barley-maize (BM)– and three fertilisation levels: unfertilised (0N), medium nitrogen (MN), and high nitrogen (HN). After two years, soil samples were collected at two depths (0-10 cm and 10-30 cm). Soil parameters measured related to soil quality were total soil organic carbon (SOC), water-stable macro aggregates (WSM), macroaggregate C concentration (Macro-C), particulate organic matter carbon (POM-C), permanganate-oxidisable organic carbon (POxC), soil microbial biomass carbon (MBC), and enzyme activity: dehydrogenase (Dhns) and ß-glucosidase (Gds).
Main results: Our research showed that in intensified systems, the highest fertilisation rate improved soil parameters in the topsoil by enhancing all the soil parameters tested except for the dehydrogenise enzyme activity. In contrast, in the monoculture, the highest fertilisation rate only increased SOC and Macro-C. Fertilisation had a higher impact on soil quality in the BM system compared to the PM system, probably related to greater quantities of crop residues in the BM system under a high fertilisation rate.
Research highlights: Nitrogen fertilisation improves soil parameters related to soil quality in intensified systems and the magnitude of the fertilisation impact may depend on crop species and residues. The impact of N fertilisation on soil quality can be detected in the short term when testing early indicators of soil quality.Objetivo del estudio: Este estudio busca un doble objetivo que consiste en (i) evaluar los efectos de lafertilización nitrogenada en diferentes sistemas de cultivo (monocultivo vs sistemas de doble cultivo) en lacalidad del suelo de un sistema de maíz en regadío; e (ii) identificar parámetros de calidad del suelo conrespuesta rápida ante cambios a corto plazo en sistemas mediterráneos de maíz en regadío.Área de estudio: Provincia de Zaragoza, EspañaMaterial y métodos:: El diseño experimental fue un strip plot con tres sistemas de cultivo: monocultivo
de maíz (MM), doble cultivo guisante-maíz (PM) y doble cultivo cebada-maíz (BM) y con tres dosis de
fertilización: sin fertilizar (0N), media (MN) y alta (HN). Después de dos años de estudio, se muestreó el
suelo a dos profundidades (0-10, 10-30 cm). La calidad del suelo se determinó analizando carbono orgánico
del suelo (SOC), macroagregados estables al agua (WSM), carbono de los macroagregados (Macro-C),
carbono orgánico particulado (POM-C), carbono orgánico oxidable al permanganato (POxC), carbono de la
biomasa microbiana (MBC) y actividad enzimática (deshidrogenasa, Dhns; y ß-glucosidasa, Gds).
Principales resultados: Nuestra investigación mostró que los sistemas intensificados con altas dosis de
fertilización nitrogenada mejoraron la calidad del suelo en la capa más superficial, incrementando todos los
parámetros medidos excepto la actividad enzimática de la deshidrogenasa. En cambio, en el monocultivo
de maíz con alta dosis de fertilización sólo aumentó el SOC y el Macro-C. El impacto de la fertilización en
la calidad del suelo fue mayor en el sistema BM comparado con el sistema PM, probablemente relacionado
con un mayor contenido de residuos en el sistema BM con dosis de fertilización alta.
Aspectos destacados de la investigación: La fertilización nitrogenada mejora los parámetros
relacionados con la calidad del suelo en sistemas intensificados. No obstante, este impacto puede depender
de los cultivos seleccionados y la producción y calidad de los residuos de estos cultivos. El impacto de la
fertilización en la calidad del suelo se puede detectar a corto plazo seleccionando indicadores tempranos de
calidad del suelo.We acknowledge the field and laboratory assistance of Fernando Gómez and Leticia
Pérez. This research was supported by the EU Horizon 2020 Programme for Research & Innovation
project “Crop diversification and low-input farming across Europe: from practitioners’ engagement
and ecosystem services to increased revenues and value chain organisation (DIVERFARMING)” (grant agreement no. 728003) and partially by the Spanish State Agency for Research (AEI) (Grant AGL2017-84529-C3-1-R) and the European Union (FEDER funds).cropping diversificationdouble-annual cropping systemsenzyme activitiesirrigated maizeMediterranean agroecosystemsnitrogen fertilizationsoil organic carbonactividades enzimáticasagrosistemas mediterráneoscarbono orgánico del suelodiversificación de cultivosfertilización nitrogenadamaíz en regadíosistemas de doble cultivoPublishe
Leveraging Multispectral and Lidar Uav to Predict Individual Tree Health: A Case Study of Viscum Album in Scots Pine Forests
Full text linkThe presence of mistletoe in pine stands has expanded in recent decades, currently threating Mediterranean forests. Mistletoe outbreaks can make the host trees more vulnerable to intense droughts, which are expected to increase due to climate change. We use multispectral (MS) and LiDAR UAV-derived data to determine Viscum album ssp. austriacum infestation levels at individual tree level in Scots pine (Pinus sylvestris L.) forests. First, spectral and structural differences between four infestation levels were assessed employing Kruskal-Wallis test and post hoc Dunn’s test for individual tree crowns. Second, machine learning classification algorithms were applied to evaluate infestation levels at the individual tree scale by comparing or combining UAV-derived datasets. Outcomes revealed significant differences between infestation levels in canopy cover and height based on LiDAR derived metrics. Significant changes in vegetation vigor were also found through spectral and textural metrics. Using two vegetation indices (CIRE and NDVI) an overall accuracy of 0.83 was achieved by applying SVM, while combining a spectral metric (NDRE) and a LiDAR metric (D0) resulted in 0.82 accuracy with SVM. Using only LiDAR variables, we obtained an accuracy of 0.64 with SVM and RF. This approach demonstrates their value for detecting and characterizing morphological changes in up to four levels of mistletoe infestation at individual trees in Mediterranean Scots pine forests, lending support to forest management monitoring.This research was funded by Gobierno de Aragón-Fondo de Inversiones de Teruel (FITE) and Gobierno de España, grant project FITE‐2021‐DRUIDA and by Gobierno de Aragón research groups S51_23R and S74_23R.UAVMultispectralLiDARmachine learningforest healthmonitoringmistletoePublishe
Preliminary results in the Iberian Peninsula of Pilowred®: a new low-vigour-conferring rootstock resistant to nematodes for almond
No full textlong vigourbreedingroot knot nematodeswater use efficiencyPublishe
A scoping review of the impact of agricultural, food and environmental policies on the transition toward a Safe and Just Operating Space for EU agri-food systems
Full text linkThe transition of agri-food systems toward a Safe and Just Operating Space (SJOS) is a complex phenomenon, which implies finding proper pathways for satisfying human needs and social justice for all, while staying within the limits of the planet's natural resources. In this context, public policies can play a key role in driving the transition. Thus, in this paper, we have carried out a scoping review of the literature on the relationships between some key public policies affecting agricultural and food and the SJOS dimensions, with the purpose of identifying the most important knowledge gaps. Following the most recent protocols proposed by the literature, we have reviewed papers published in the 2000–23 period using the Web of Science database as main reference. Our results show that the available evidence is somehow scattered across the SJOS thematic areas, with a clear prevalence of the environmental (SOS) with respect to the social (JOS) ones. Thus, there is clear research gap in exploring the impact of public policies on JOS issues such as social equity, health and nutrition security. Moreover, very few studies explore synergies and trade-offs between different SJOS dimensions. This is especially relevant in evaluating a complex policy mix such as the Green Deal of the EU. Finally, from a methodological perspective, the available studies provide some interesting hints for extending the available toolkit for ex-ante policy modelling, which deserve further research.Esta investigación ha recibido apoyo financiero de la Unión Europea en el marco del programa Horizonte Europa-Alimentación, Bioeconomía, Recursos Naturales, Agricultura y Medio Ambiente, acuerdo de subvención número 101060075.Unpublishe
Domestication of the Pig in the PPNB Period in Southeastern Anatolia in the Light of Ancient DNA: The Case of Boncuklu Tarla
Full text linkThis project is supported by Hatay Mustafa Kemal University Scientific Research Projects Coordination Office with the code 19.M.037. Investigation of the domestication process of pig in Southeast Anatolia Region by aDNA-based methods: The case of Boncuklu Tarla.DomesticationAnatoliaDNA AnalysisZooarchaeologyAnthropolog