Leaf Area
Mostrando 1-12 de 1011 artigos, teses e dissertações.
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1. Cucurbit Powdery Mildew Race Identification by Triplet-Septet and Disease Progress Estimation
ABSTRACT The Triplet-Septet (TS) set of melon cucurbit powdery mildew (CPM) race differentials (CPMRD) was established to provide an international means for objective and uniform identification and designation on CPM races. The Area Under Disease Progress Stairs (AUDPS) method for disease progress estimation was derived from the Area Under Disease Progress C
Revista Ceres. Publicado em: 2023
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2. Sowing date influence on the soybean tolerance to defoliation at the beginning of pod formation
ABSTRACT Late sowings anticipate flowering and decrease the soybean vegetative plasticity. These changes may limit the ability of plants to tolerate leaf area losses. The objective of this research was to evaluate the sowing date effect on soybean tolerance to defoliation at the beginning of pod formation. The experiment was set in Lages (Santa Catarina Stat
Revista Ceres. Publicado em: 2023
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3. Allometric models for estimating the leaf area of lisianthus (Eustoma grandiflorum) using a non-destructive method
ABSTRACT Lisianthus (Eustoma grandiflorum) is a cut flower grown due to the wide diversity of colors and longevity in the post-harvest. The leaf area measurement is fundamental in plants because the leaves are directly related to several processes such as transpiration, radiation interception and CO2 fixation that enable the plant to grow. The objective of t
Revista Ceres. Publicado em: 2022
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4. Estimating leaf area of basil cultivars through linear dimensions of leaves
ABSTRACT Ocimum basilicum L. (basil) is an annual herb belonging to the Lamiaceae family that has economic importance for many regions around the world. Thus, ecophysiological studies are needed to assess this species growth and dispersal. This work aimed to obtain equations from regression models that meaningfully estimate the leaf area of basil cultivars u
Revista Ceres. Publicado em: 2022
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5. Digital imaging of coffee leaves under different nitrogen concentrations applied to soil
ABSTRACT Brazil is the largest Coffea arabica L. producer and exporter in the world market. In view of the need for nitrogen fertilization, the objective of this work was to evaluate the use of digital images of coffee leaves as a function of nitrogen concentration and cultivars, as well as to evaluate the most adequate sampling of this technique to predict
Revista Ceres. Publicado em: 2022
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6. Leaf area estimation of Congea tomentosa using a non-destructive method
RESUMO Congea tomentosa é uma trepadeira indicada para cobertura de mandris, grades e cercas. A determinação da área foliar é útil para entender a relação planta-ambiente e facilitar estudos agronômicos sobre transpiração, necessidade de água, interceptação de luz e atividade fotossintética. O objetivo deste estudo foi obter uma equação alom
Revista Brasileira de Engenharia Agrícola e Ambiental. Publicado em: 2022
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7. Linear relationships between biometric variables in lettuce seedlings
ABSTRACT Seedling production is an important step in growing vegetables. The study of relationships between variables has applications in practically all areas of study and is useful in identifying relationships among quality variables in vegetable seedlings. Thus, this work aims to estimate linear relationships between biometric variables in lettuce seedlin
Revista Ceres. Publicado em: 2022
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8. Asian soybean rust management based on leaf area index and multisite fungicide
RESUMO As doenças foliares da soja afetam o índice de área foliar (IAF) e a estrutura principal para a fotossíntese e a produtividade. O objetivo deste estudo foi propor uma nova metodologia para determinar o início das aplicações de fungicidas, com base no IAF, na taxa de aplicação e na inclusão de um fungicida multissítio, para controlar a ferru
Revista Brasileira de Engenharia Agrícola e Ambiental. Publicado em: 2022
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9. Rapid Recognizing the Producing Area of a Tobacco Leaf Using Near-Infrared Technology and a Multi-Layer Extreme Learning Machine Algorithm
A novel recognition method was put forward to identify the producing areas of the flue-cured tobacco leaves rapidly and non-destructively by using a near-infrared (NIR) spectrometer and a multi-layer-extreme learning machine (ML-ELM) algorithm. In contrast to traditional linear discriminant analysis (LDA) and extreme learning machine (ELM) algorithms, the ac
Journal of the Brazilian Chemical Society. Publicado em: 2022
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10. Control of leaf anthracnose of peach palm with fungicides: a valid strategy for seedling nurseries, but not for young plantations
ABSTRACT This work aimed to evaluate the efficacy of fungicides for controlling anthracnose (Colletotrichum gloeosporioides) on peach palm (Bactris gasipaesvar.gasipaes) seedlings in nursery beds and in newly planted peach palms in the field. The nursery experiment included two fungicide combinations: [thiophanate-methyl + chlorothalonil (TM + C) and pyraclo
Revista Ceres. Publicado em: 2022
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11. Soybean tolerance to defoliation at the beginning of pod formation as affected by plant density
ABSTRACT Soybean tolerance to defoliation may be affected by population density, as the plant population interferes with the crop leaf area index . This study aimed to evaluate the effect of defoliation at the beginning of pod formation on the agronomic performance of soybean at different plant densities. The experiment was conducted under field conditions i
Revista Ceres. Publicado em: 2022
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12. Performance of cover crops under two irrigation regimes in the Coastal Tablelands region of Brazil
ABSTRACT There is currently a lack of information regarding the performance of cover crops grown in the Coastal Tablelands region in the North of the Brazilian state of Espírito Santo, where zero tillage is increasingly being adopted. The objective of this study was to evaluate the agronomic performance of six cover crops (ruzi grass, jack bean, and the mil
Rev. Ceres. Publicado em: 2021-08