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Mostrando ítems 12509-12528 de 16465
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Precision management of pollination services to blueberry crops
(Nature, 2021)While the cultivated area of pollinator-dependent crops is increasing, pollinator availability is decreasing, leading to problems in many agroecosystems. For this reason, pollinator-dependent crop growers often rent beehives ... -
Precocidad sexual de corderas Texel, Corriedate, Highlander y Poll Dorset en el Sudeste de Buenos Aires
(Asociación Argentina de Producción Animal, 2020-11)La provincia de Buenos Aires posee el 17% del total de ovinos de la Argentina. La mayoría de las majadas están constituidas por razas de doble propósito (carne y lana) y se crían predominantemente en forma extensiva sobre ... -
Precocious sexual signalling and mating in Anastrepha fraterculus (Diptera: Tephritidae) sterile males achieved through juvenile hormone treatment and protein supplements
(Cambridge University Press, 2013-02)Sexual maturation of Anastrepha fraterculus is a long process. Methoprene (a mimic of juvenile hormone) considerably reduces the time for sexual maturation in males. However, in other Anastrepha species, this effect depends ... -
Predation by invasive rainbow trout on the critically endangered Pehuenche Spiny‐chest Frog
(Wiley, 2020-11)The Pehuenche Spiny‐chest Frog Alsodes pehuenche is an endemic species from the Andes of Argentina and Chile and is considered to be Critically Endangered. Its population has been declining over the last ten years, principally ... -
Predatory capacity of Tupiocoris cucurbitaceus (Hemiptera Miridae) on several pests of tomato
(Department of Agroenvironmental Sciences and Technologies, Università di Bologna., 2019)The predator Tupiocoris cucurbitaceus (Spinola) is frequently found preying on whiteflies in greenhouse tomato without pesticide use in Argentina. This study evaluated its preying capacity on several pests, determining the ... -
Predicción de contenido de arcilla superficial utilizando conductividad eléctrica aparente y esquemas de muestreo basados en modelos
(2017)La predicción espacial del contenido de arcillas (As) a escala de lote es requerida para la implementación de agricultura de precisión y modelos de simulación hidrológica. Sin embargo, la brecha de técnicas de cartografía ... -
Predicción de epidemias del oidio de la vid [Uncinula necator [Schwein] Burrill] mediante modelos basados en factores meteorológicos = Weather-based models for predicting grape powdery mildew (Uncinula necator (Schwein) Burrill) epidemics
(2015)El oídio de la vid (Vitis vinifera L.), causado por Uncinula necator (Schwein) Burrill, es una enfermedad fúngica relevante en viñedos de la provincia de Mendoza, ocasionando pérdidas de producción y degradación de la ... -
Predicción de fracción erosionable para bosques nativos y suelos agrícolas (Chaco, Argentina)
(Sociedad Latinoamericana de la Ciencia del Suelo, 2016-10-24)La provincia del Chaco ubicada en el noreste argentino (NEA) ha sido afectada por un proceso intenso de cambio de uso del suelo (CUS), con reemplazo de bosques nativos (BN) por tierras agrícolas, estimándose entre 2001 y ... -
Predicción de la variabilidad de la productividad de pasturas para la delimitación de zonas de manejo en suelos ganaderos
(Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, 2020-11)Los suelos de aptitud ganadera de la Pampa Deprimida son heterogéneos, incluso a nivel de lote. Esto provoca variabilidad espacial en la producción de forraje. La aplicación de tecnologías de agricultura de precisión ... -
Predicción del diámetro máximo sobre muñón en árboles podados de Pinus taeda L. origen Marion en el NE de Corrientes, Argentina
(Facultad de Ciencias Forestales y Recursos Naturales, Universidad Austral de Chile, 2002)El diámetro máximo sobre muñones (dmsm) de ejemplares de Pinus taeda L. origen Marion en el NE de Corrientes, Argentina, puede ser estimado con precisión en rodales aplicando de uno a cuatro levantes de poda, hasta una ... -
Predicción y modelización de la respuesta en rendimiento de trigo y maíz y necesidad de nitrógeno en función de variables climáticas previas a la siembra
(Asociación Latinoamericana de Agricultura de Precisión, 2022-03)Los rendimientos de trigo y maíz presentan una importante variabilidad interanual. Parte de esa variabilidad está determinada por factores limitantes, siendo el factor agua el más importante en los sistemas de secano, ... -
Predicting junglerice (Echinochloa colona L.) emergence as a function of thermal time in the humid pampas of Argentina
(Taylor & Francis, 2020-06)Junglerice (Echinochloa colona) is one of the most important annual weeds affecting crops in Argentina. A predictive seedling emergence model based on thermal time was developed and validated. Monitoring of seedling emergence ... -
Predicting maize phenology: intercomparison of functions for developmental response to temperature
(American Society of Agronomy, 2014-12)Accurate prediction of phenological development in maize (Zea mays L.) is fundamental to determining crop adaptation and yield potential. A number of thermal functions are used in crop models, but their relative precision ... -
Predicting male fertility in dairy cattle using markers with large effect and functional annotation data
(BMC, 2019-04)Background: Fertility is among the most important economic traits in dairy cattle. Genomic prediction for cow fertility has received much attention in the last decade, while bull fertility has been largely overlooked. The ... -
Predicting North American Scolytinae invasions in the Southern Hemisphere
(2017-01)Scolytinae species are recognized as one of the most important tree mortality agents in coniferous forests worldwide, and many are known invaders because they are easily transported in wood products. Nonnative trees planted ... -
Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring and occupancy models
(Elsevier, 2022-08)Poaching can have major impacts on wild animal populations and is pervasive in tropical regions. The spatial distribution of this furtive activity is particularly difficult to estimate in large natural areas, and this ... -
Predicting soil test phosphorus decrease in non-P-fertilized conditions
(Wiley, 2020-02)Monitoring the availability of phosphorus (P) in soil under continuous cropping facilitates finding deficiency in crops and contributes to improving crop growth and nutrient management models. Soil P availability for crops ... -
Predicting soybean development with a simple photothermal dynamic algorithm
(Asociación de la Cadena de la Soja Argentina, 2019-09)Predicting the occurrence of the critical period for soybean’s yield determination is important for farmers to decide on variety and sowing date with the objective to expose this period (during which yield is mainly ... -
Predicting soybean losses using carbon dioxide monitoring during storage in silo bags
(Elsevier, 2019-06)The rapid increase of the overall grain production of Argentina resulted with a storage capacity deficit in permanent structures of 40–50 million tons, and this context favored the rapid adoption of the silo bag technology. ... -
Predicting the distribution of plant species from southern South America: are the hotspots of genetic diversity threatened by climate change?
(Springer, 2024-01)Biodiversity in all its dimensions is being threatened by climate change and the impact of human activities. Genetic diversity is a key dimension of biodiversity underlying adaptation to global changes. Here we assess the ...