Index Phenological
Mostrando 1-12 de 37 artigos, teses e dissertações.
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1. El Niño-Southern Oscillation impacts on grape yields in Santana do Livramento, Brazil: understanding and early warning of crop failure conditions
ABSTRACT El Niño-Southern Oscillation (ENSO) is an important source of year–to–year fluctuations in the whole global climate system and in the southern Brazilian climate. El Niño events affect this region, imposing unfavorable weather conditions (rainy/humid/overcast) during critical grapevine phenological stages, compromising yields in the current and
Revista Ceres. Publicado em: 2023
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2. Sensitivity analysis of the AquaCrop model for wheat crop in Campos Gerais region, Paraná
ABSTRACT The use of crop modeling can be useful to understand the interactions between the soil-plant-atmosphere system. The objective of this study was to evaluate sensitivity analysis of the AquaCrop model parameters for wheat crop in the Campos Gerais Region. The varietie tested was TBIO Sinuelo in Castro, Ponta Grossa and Itaberá cities. The analyzed pa
Revista Ceres. Publicado em: 2023
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3. Sowing date changes phenological development, plastochron index, and grain yield of soybeans under Cerrado conditions
RESUMO A época de semeadura é a prática de manejo cultural com maior interferência no desenvolvimento e na produtividade de grãos de soja, e está diretamente relacionada com o genótipo e tipo de ciclo da cultura. Nosso objetivo foi avaliar o desenvolvimento fenológico em função das respostas fotoperíodicas, índice de plastocrono e produtividade d
Revista Brasileira de Engenharia Agrícola e Ambiental. Publicado em: 2022
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4. CONTRIBUTION OF SOIL ATTRIBUTES AND MORPHOLOGICAL VARIABLES TO YIELD OF IRRIGATED GARLIC
ABSTRACT This study aimed to investigate relationships between the soil attributes that most affect garlic yield, which can be useful to choose a new area for the growing of this vegetable. We also aimed to study the effects of irrigation deficit at bulb formation stage (cloves) on final garlic quality and yield. The variables evaluated were garlic yield, ir
Eng. Agríc.. Publicado em: 2021-04
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5. Validation of white oat yield estimation models using vegetation indices
ABSTRACT The use of remote sensing in agriculture presents some practical applications in crop production forecast. In this context, studies with remote sensing are scarce for crops such as white oats, which may indicate the capacity of using this technique in the crop. The aim of this study was to evaluate the accuracy in validation of white oat biomass and
Bragantia. Publicado em: 2020-06
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6. Agronomic performance of white oats cultivated under fertigation with treated sewage effluent and definition of critical limits of Normalized Difference Vegetation Index
ABSTRACT One of the benefits of irrigation with wastewater in agriculture is the reduction in the use of mineral fertilizers and the increase in crop yield. For wastewater application, the use of remote sensing can help to define specific management areas. The aim of this study was to evaluate the yield and the growth of irrigated white oats (Avena sativa L.
Bragantia. Publicado em: 13/12/2019
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7. Phenological metrics of the grassland vegetation of Rio Grande do Sul, Brazil
RESUMO Considerando que o estudo da fenologia vegetal permite estabelecer relações entre o padrão fenológico da vegetação e as alterações causadas pela variabilidade climática, o objetivo deste trabalho foi obter métricas fenológicas para as tipologias de vegetação de pastagens predominantes no Rio Grande do Sul (latitudes 27º 05’ e 33º 45�
Rev. bras. eng. agríc. ambient.. Publicado em: 25/11/2019
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8. TEMPORAL VARIATION AND SPATIAL DISTRIBUTION OF RELATIVE INDICES OF LEAF CHLOROPHYLL IN GRAPEVINE cv. CHARDONNAY
ABSTRACT Variation in the spatial distribution of leaf chlorophyll content associated with the progression of the phenological cycle of crops may occur in cultivated areas as a result of the variability of environmental conditions and of the intrinsic properties of the plants. The objective of the present study was to model the trend in variation and assess
Eng. Agríc.. Publicado em: 09/09/2019
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9. Allelopathic Potential of Sorghum bicolor at Different Phenological Stages
RESUMO: O objetivo deste estudo foi avaliar o potencial alelopático do extrato aquoso da parte aérea de S. bicolor, em diferentes fases fenológicas, sobre a germinação de sementes e crescimento inicial de plântulas de couve (Brassica oleracea var. acephala), que é considerada uma espécie bioindicadora. O experimento foi realizado em cinco fases de de
Planta daninha. Publicado em: 08/04/2019
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10. Influence of Phenology and Post-Harvest Processing of Vegetal Material on the Allelopathy of Annoni Grass (Eragrostis plana) Extracts
RESUMO: O estádio fenológico da planta, a quantidade e o processamento do material vegetal são fatores que podem interferir na atividade alelopática dos extratos. Este trabalho teve como objetivo testar o efeito alelopático de extratos aquosos de folhas de capim-annoni (Eragrostis plana), invasora de pastagens naturais. Doze extratos foram elaborados, r
Planta daninha. Publicado em: 08/04/2019
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11. Phenological study of populations of Cnidoscolus quercifolius in the Western Seridó, Paraiba state, Brazil
Resumo Padrões fenológicos de duas populações de Cnidoscolus quercifolius foram avaliados em área de caatinga no Seridó Ocidental, estado da Paraíba, Brasil, no período de março de 2009 a fevereiro de 2011, com dados coletados mensalmente. As avaliações abordaram uma análise quantitativa dos índices de atividade em períodos vegetativo (brotamen
Rodriguésia. Publicado em: 18/03/2019
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12. RELATIONSHIP BETWEEN COFFEE CROP PRODUCTIVITY AND VEGETATION INDEXES DERIVED FROM OLI / LANDSAT-8 SENSOR DATA WITH AND WITHOUT TOPOGRAPHIC CORRECTION
ABSTRACT The reflectance values of a coffee crop are influenced by several factors such as planting direction, crop spacing, time of the year, plant age and topography which reduces the accuracy of the estimates derived from remote sensing data. In this context were evaluated the relationships between coffee productivity and values of NDVI, SAVI and NDWI veg
Eng. Agríc.. Publicado em: 2018-06