Anna Kézia Soares de Oliveira

Universidade Federal Rural do Semi-Árido

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Aurélio Paes Barros Júnior

Universidade Federal Rural do Semi-Árido

Ester dos Santos Coêlho

Universidade Federal Rural do Semi-Árido

Lindomar María da Silveira

Universidade Federal Rural do Semi-Árido

João Everthon da Silva Ribeiro

Universidade Federal Rural do Semi-Árido

Welder de Araújo Rangel Lopes

Universidade Federal Rural do Semi-Árido

Pablo Henrique de Almeida Oliveira

Universidade Federal Rural do Semi-Árido

Antônio Gideilson Correia da Silva

Universidade Federal Rural do Semi-Árido

Elania Freire da Silva

Universidade Federal Rural de Pernambuco

Gisele Lopes dos Santos

Universidade Federal Rural do Semi-Árido

José Espínola Sobrinho

Universidade Federal do Rio Grande do Sul

Cooperative Institutions

Universidade Federal Rural do Semi-Árido

Universidade Federal Rural de Pernambuco

Universidade Federal de Campina Grande

Universidade Federal da Paraíba

Universidade Federal de Viçosa

Universidade Federal do Ceará

École Supérieure d'Arts & Médias de Caen/Cherbourg

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Altera (United States)

Federal Institute of Education, Science and Technology Alagoas

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Nondestructive method for estimating the leaf area of sapodilla from linear leaf dimensions

Revista Brasileira de Engenharia Agrícola e Ambiental (2022)

João Everthon da Silva Ribeiro Ester dos Santos Coêlho Ângela Maria dos Santos Pessoa Anna Kézia Soares de Oliveira Ágda Malany Forte de Oliveira

ABSTRACT The leaf area is a parameter of fundamental importance in studies on plant growth and physiology. The objective of this study was to build allometric equations for the accurate and fast estimation of sapodilla leaf areas. In total, 250 leaves of different shapes and sizes were collected from sapodilla matrices trees growing at the Universidade Federal Rural do Semi-Árido, Mossoró-RN, Brazil. For each leaf, the length, width, product of length and width (LW), product of length and length, product of width and width, and leaf area were measured. Linear and nonlinear models were used to construct the allometric equations. The best equations were chosen on the basis of the following criteria: the highest coefficient of determination, Pearson’s linear correlation coefficient, and Willmott’s index of agreement; and the lowest Akaike information criterion and root mean square error. It was verified that the models that used the LW value presented the best criteria for estimating the leaf area. Specifically, the equations ŷ = 0.664 × LW1.018 and ŷ = 0.713 × LW, which use LW values, are the most suitable for estimating the leaf area of sapodilla quickly and accurately.

Akaike information criterion

Allometry

Tree Allometry

10.1590/1807-1929/agriambi.v27n3p209-215

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Citations (5)

Chemical quality and bioactive compounds of sweet potatoes under phosphate fertilization

Revista Brasileira de Engenharia Agrícola e Ambiental (2023)

Pablo Henrique de Almeida Oliveira Anna Kézia Soares de Oliveira Ester dos Santos Coêlho Valécia Nogueira Santos e Silva Welder de Araújo Rangel Lopes

ABSTRACT Sweet potato is among the most important food crops in the world. Due to its high genetic diversity, this species has cultivars that can respond in different ways depending on mineral fertilization. Among the nutrients, phosphorus is related to physiological and biochemical processes that can influence the final quality of the product. This study aimed to assess the influence of P doses on the quality and bioactive compounds of sweet potato cultivars - Paraná, BRS Amélia, and BRS Cuia. The pH, soluble solids (SS), titratable acidity (TA), SS/TA ratio, soluble sugars, and the bioactive compounds - flavonoids, anthocyanins, and carotenoids - were evaluated. The P doses influenced sweet potato cultivars. The dose of 120 kg ha-1 promoted increments in the parameters pH, SS, TA, and SS/TA ratio for the cultivar BRS Cuia. The same dose promoted an increase in total soluble sugars for the cultivar BRS Amélia. P dose of 240 kg ha-1 promoted higher levels of flavonoids and anthocyanins in the cultivar Paraná, and there was an increase in carotenoid content at the dose of 60 kg ha-1.

Titratable acid

10.1590/1807-1929/agriambi.v28n1e274451

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Production and physical quality of sweet potatoes under phosphate fertilization

Revista Caatinga (2024)

Pablo Henrique de Almeida Oliveira Welder de Araújo Rangel Lopes Anna Kézia Soares de Oliveira Gisele Lopes dos Santos Antônio Gideilson Correia da Silva

ABSTRACT Phosphorus (P) is a primordial mineral nutrient for plants, as it is directly linked to physiological and biochemical processes essential for plant maintenance, and can influence the production and final quality of the product. Furthermore, P favors good root development, which can benefit sweet potato crop. Thus, the objective of the work is to assess the influence of increasing doses of P on the production and physical quality of sweet potatoes in two growing seasons in a semi-arid environment. The experiments were carried out from April to August 2021 (season 1) and from December 2021 to April 2022 (season 2) at the Rafael Fernandes Experimental Farm - UFERSA, Mossoró, RN, BR. The design was randomized blocks, with four replications. The treatments consisted of five doses of P (0; 60; 120; 180 and 240 kg ha-1 of P2O5) via fertigation and tested on the sweet potato cultivar Paraná. After harvesting the roots, the number and yield of roots (commercial, non-commercial and total), the average mass and the percentage of commercial roots were evaluated. Commercial roots were evaluated for firmness, elasticity and cooking time. The P doses influenced the production characteristics, mainly at the dose of 60 kg ha-1 of P2O5, which promoted increases in the yield of commercial roots. The doses of P promoted the reduction of firmness for both growing seasons. A dose of 180 kg ha-1 of P2O5 led to the shortest cooking time for the second growing season.

Phosphate fertilizer

10.1590/1983-21252024v3711399rc

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Effect of Nitrogen Fertilization on the Quality of Colored Cotton Fibers in the Brazilian Semi-Arid Region

Journal of Natural Fibers (2024)

João Everthon da Silva Ribeiro Francilene de Lima Tartaglia Lisley Pimentel Caetano Ester dos Santos Coêlho Gisele Lopes dos Santos

Naturally colored fiber cotton has fibers that present natural colors without the need for dyeing processes or dye application. Low nitrogen availability during production can affect fiber quality. Thus, this study aimed to evaluate the fiber quality of naturally colored cotton cultivars as a function of nitrogen fertilization. The research was conducted in an experimental field at the Federal Rural University of Semiarid, Northeast Brazil. The experiment was arranged in a randomized block design, with four replications, in a split-plot scheme. Five nitrogen rates were distributed in the experimental plots, and four naturally colored fiber cotton cultivars were distributed the subplots. The following parameters were evaluated: fiber percentage, fiber length, length uniformity, short-fiber index, strength fiber, fiber elongation, micronaire, fiber maturity, and count strength product. BRS Topázio excelled in most fiber quality characteristics. The 100 kg ha−1 of N and 150 kg ha−1 increase the fiber quality of the cultivars BRS Safira, BRS Topázio, and BRS Rubi. The dose of 200 kg ha−1 of N improved the fiber quality of the BRS Verde cultivar. Nitrogen fertilization positively influenced the fiber quality of naturally colored cotton.

Colored

10.1080/15440478.2024.2391010

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TOXICITY OF INSECTICIDES USED IN MUSKMELON ON FIRST-INSTAR LARVAE OF Chrysoperla genanigra FREITAS (NEUROPTERA: CHRYSOPIDAE)

Revista Caatinga (2017)

Bárbara Karine de Albuquerque Silva Maurício Sekiguchi de Godoy Alricélia Gomes de Lima Anna Kézia Soares de Oliveira Patrik Luiz Pastori

ABSTRACT Brazil is one of the world's largest producers of melon (Cucumis melo L.), and Rio Grande do Norte and Ceará are the largest producers states of the country (99% of exports). This crop had great socio- economic importance in the Brazilian Northeast, however, it is affected by insect pests and consequently, large amounts of pesticides are applied to it, which greatly affect beneficial organisms, such as Chrysopidae. This bioassay evaluated the toxicity of nine insecticides used in commercial crops of muskmelon, applied to first- instar larvae of Chrysoperla genanigra of up to 24-hour-old, from mass rearing cultures. Sublethal effects were evaluated, classifying the insecticides into the toxicity classes recommended by the IOBC. A completely randomized design was used, consisting of ten treatments (clothianidin, pymetrozine, lambda-cyhalothrin, chlorantraniliprole, indoxacarb, pyriproxyfen, beta-cyfluthrin+imidacloprid, imidacloprid, beta-cypermethrin and a control consisted of distilled water). The treatments consisted of exposure of thirty larvae to dry residues of each product in Petri dishes, assessing their mortality, duration of instars, sex ratio, fecundity and viability of eggs from adults of the insects evaluated. The products were classified in toxicity classes as harmful (Class 4) (clothianidin, pymetrozine, indoxacarb, lambda-cyhalothrin, beta-cyfluthrin+imidacloprid, imidacloprid, beta- cypermethrin and pyriproxyfen) and innocuous (Class 1) (chlorantraniliprole) to first -instar larvae of C. genanigra, by calculate their total effect. Based on this work, chlorantraniliprole is the only recommended insecticide for use in integrated pest management (IPM) programs in muskmelon crops.

Clothianidin

Indoxacarb

Novaluron

Acetamiprid

10.1590/1983-21252017v30n314rc

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Citations (9)

NECESSIDADES HÍDRICAS E ÍNDICES DE CRESCIMENTO DA CULTURA DO GERGELIM (SESAMUM INDICUM L.) BRS ANAHÍ IRRIGADO

Isaac Alves da Silva Freitas José Espínola Sobrinho Anna Kézia Soares de Oliveira Ana Beatriz Alves de Araújo Roberto Vieira Pordeus

10.22533/at.ed.8051907105

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Nondestructive method for estimating the leaf area of sapodilla from linear leaf dimensions

Figshare (2022)

João Everthon da Silva Ribeiro Ester dos Santos Coêlho Ângela Maria dos Santos Pessoa Anna Kézia Soares de Oliveira Ágda Malany Forte de Oliveira

10.6084/m9.figshare.21601254

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NECESSIDADE HÍDRICA DA CULTURA DO MILHO INFLUENCIADA PELAS MUDANÇAS CLIMÁTICAS NO SEMIÁRIDO NORDESTINO

Revista Brasileira de Milho e Sorgo (2018)

Edmilson Gomes Cavalcante José Francismar de Medeiros Isaac Alves da Silva Freitas Anna Kézia Soares de Oliveira José Espínola Sobrinho

RESUMO - O presente trabalho teve como objetivo verificar os impactos das mudanças climáticas no desenvolvimento e evapotranspiração do milho, no semiárido brasileiro. O trabalho foi desenvolvido nos municípios de Apodi, Ipanguaçu e Mossoró, todos eles localizados no estado do Rio Grande do Norte. A determinação da evapotranspiração da cultura (ETc), em suas diferentes fases, foi realizada através de lisímetros de pesagem. Para verificar a influência das mudanças climáticas no consumo hídrico da cultura foram simuladas alterações na temperatura e na umidade relativa do ar, através do modelo climático PRECIS. Foram avaliados dois cenários de emissões baseados no relatório do IPCC (Intergovernmental Panel on Climate Change), um pessimista (A2) e um otimista (B2). Os dados de temperatura e umidade relativa utilizados foram as saídas do modelo PRECIS. Segundo as projeções do modelo as temperaturas na região ficarão muito acima do limite ótimo para o desenvolvimento da cultura. A duração do ciclo da cultura apresentou uma redução média de 10 e 15 dias para os cenários B2 e A2, respectivamente. A redução no ciclo também provocou uma diminuição de 3,0% na evapotranspiração total, considerando o cenário mais otimista, e de 4,4% no cenário mais pessimista.Palavras-chave: Zea mays, temperatura, umidade relativa, evapotranspiração. DEVELOPMENT AND WATER REQUIREMENT OF MAIZE CROP AFFECTED BY CLIMATE CHANGES IN THE SEMIARID REGION OF THE BRAZILIAN NORTHEAST ABSTRACT - This study aimed to determine the impacts of climate changes on growth and evapotranspiration of maize in the Brazilian semiarid region. The study was conducted in the municipalities of Apodí, Ipanguaçu and Mossoró, all of them located in the state of Rio Grande do Norte. The determination of evapotranspiration (ETc) throughout the different crop phases was accomplished by weighing lysimeters.In order to check the effect of climate changes on crop water consumption, simulated changes were done in the temperature and relative humidity of the air, through the PRECIS climate model. Two scenarios of emissions were evaluated based on the IPCC report (Intergovernmental Panel on Climate Change): a pessimistic caled A2 and an optimistic B2. The data of temperature and relative humidity were obtained by the PRECIS model. According to the model projections, the temperatures in the region will be far above the optimal limit for crop development. The crop cycle showed an average reduction of 10 and 15 days for B2 and A2 scenarios, respectively. The reduction in the cycle also caused a decrease in the total evapotranspiration of 3.0%, considering the most optimistic scenario, and 4.4% in the worst scenario.keywords: Zea mays, temperature, relative humidity, evapotranspiration.

10.18512/1980-6477/rbms.v17n2p251-262

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Citations (2)

Artificial Neural Network Approach for Predicting the Sesame (Sesamum Indicum L.) Leaf Area: A Non-Destructive and Accurate Method

SSRN Electronic Journal (2023)

João Everthon da Silva Ribeiro Ester dos Santos Coêlho Anna Kézia Soares de Oliveira Antônio Gideilson Correia da Silva Welder de Araújo Rangel Lopes

The estimative of the leaf area using a nondestructive method is paramount for successive evaluations in the same plant with precision and speed, not requiring high-cost equipment. Thus, the objective of this work was to construct models to estimate leaf area using artificial neural network models (ANN) and regression and to compare which model is the most effective model for predicting leaf area in sesame culture. A total of 11,000 leaves of four sesame cultivars (BRS Seda, CNPA G2, CNPA G3, and CNPA G4 were collected. Then, the length (L) and leaf width (W), and the current leaf area (LA) were quantified. For the ANN model, the parameters of the maximum length and width of the leaf were used as input variables of the network, with hidden layers and leaf area as the desired output parameter. For the linear regression models, leaf dimensions (L and W) were considered independent variables, and the current leaf area was the dependent variable. The criteria for choosing the best models were: the lowest root of the mean squared error (RMSE), mean absolute error (MAE), and absolute mean percentage error (MAPE), and higher coefficients of determination (R2). Among the linear regression models, the equation [[EQUATION]] was considered the most indicated to estimate the leaf area of the sesame. In modeling with ANNs, the best results were found for model 2-3-1, with two input variables (L and W), three hidden variables, and an output variable (LA). The ANN model was more accurate than the regression models, recording the lowest errors and higher R2 in the training phase (RMSE: 0.0040; MAE: 0.0027; MAPE: 0.0587; and R2: 0.9834) and in the test phase (RMSE: 0.0106; MAE: 0.0029; MAPE: 0.0611; and R2: 0.9828). Thus, the ANN method is the most indicated and accurate for predicting the leaf area of the sesame.

10.2139/ssrn.4356152

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Citations (2)

Reference evapotranspiration during rainy and dry seasons in Mossoró, RN, Brazil

Semina Ciências Agrárias (2019)

Anna Kézia Soares de Oliveira Isaac Alves da Silva Freitas Tecla Ticiane Félix da Silva José Espínola Sobrinho Rudah Marques Maniçoba

Mossoró, RN, Brazil, is considered one of the fruit growing centers of the Northeast region. This municipality has a persistent water deficit, with the need to develop irrigated agriculture with efficient water use and rational management of irrigation. The objective of this study was to evaluate estimation methods of reference evapotranspiration (ETo) for different climate conditions of Mossoró, comparing them with the standard Penman-Monteith-FAO 56 method. A daily data series of two distinct years, a rainy (2011) and a dry year (2012), was used. The data were obtained from the weather station of the Federal Rural University of the Semi-Arid Region (UFERSA). An analysis was performed to identify methods that best fit those of Penman-Monteith-FAO 56, and for this, ten methods were evaluated using statistical indices. The Penman-Original, Radiation-Temperature, and Hargreaves-Original methods stood out and satisfactorily met ETo estimation for the rainy season, while the Jensen-Haise, Radiation-Temperature, and Hargreaves-Original methods achieved satisfactory performance for the dry season. The Hargreaves-Samani method did not demonstrate viability in the use of ETo estimation, as it was the worst method in both studied periods and is not recommended for irrigation management.

Wet season

Dry season

Penman–Monteith equation

Semi-arid climate

10.5433/1679-0359.2020v41n1p109

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