ABSTRACT Medicinal plants (MP) are used in various forms (teas, tinctures, creams, food supplements, etc.), with a single purpose, that of improving the quality of human life from birth to senescence. The choice of the species Cassia angustifolia Vahl, to be introduced into culture and for the development of mechanized cultivation technology is argued by the high demand for ecological raw material, correlated with climate changes. Establishing the optimal planting distance is very important in crop management to improve plant growth and yield. In this study, the effects of planting density on the growth and yield of C. angustifolia plants were evaluated in the edaphoclimatic conditions of Brasov, Romania. The experiment included three factors: Factor A - experimental year: 5 April 2016 (A1), 11 April 2017 (A2), 4 April 2018 (A3). Factor B - Distance row by row (RR): 25 (B1), 50 (B2), and 70 cm (B3). Factor C - Distance plant by plant (PP): Continuous row (C1), 15 cm (C2), and 25 cm (C3). Three years’ data indicated that plant density of 25 (RR) × continuous row (PP) resulted in obtaining the highest yield of fresh (48.33 t ha-1) and dry (7.93 t ha-1) biomass. Increasing planting density increased individual plant development (height, number of branches and weight), but reduced yield of biomass.

Abstract Water stress has caused major losses in the agricultural productivity of crops, inducing the search for alternatives for sustainable cultivation. In this context, the objective of this study was to evaluate the tolerance of watermelon under water stress, inoculated with bacterial strains of the genus Bacillus spp., regarding the biochemical and enzymatic variables in the flowering stage. A randomized block design was adopted in a split-plot 4x4 factorial scheme, with plots consisting of four levels of soil water availability (40%, 60%, 80% and 100% of field capacity - FC) and subplots consisting of four inoculations (Negative Control (NC); XX6.9 bacteria; P6.2 bacteria; MIX - co-inoculation of XX6.9 and P6.2 bacteria), with five replicates. XX6.9 bacteria and NC were the treatments most affected by severe water stress, since at the soil water availability (SWA) level of 40% FC they showed high contents of the oxidative marker (MDA) and proline. Although the inoculation with XX6.9 bacteria promoted a higher content of osmoregulators such as proteins, total soluble sugars and reducing sugars, it was not enough to attenuate the effects of water deficit. On the other hand, treatments with P6.2 bacteria and MIX of bacteria showed reduced levels of MDA at the SWA level of 40% FC, accompanied by high enzymatic activity of POD and CAT, which may contribute to the tolerance of the watermelon crop to water stress.

RESUMO: O arroz-daninho (Oryza sativa L.) é a planta daninha de maior importância na cultura do arroz irrigado, sendo um dos principais fatores que limitam a produtividade do cereal no Rio Grande do Sul (RS). Desse modo, o objetivo deste trabalho foi determinar o efeito do uso de herbicidas pré-emergentes no manejo outonal, no controle e redução do banco de sementes de arroz-daninho. Foi realizado experimento no campo em delineamento experimental de blocos casualizados com quatro repetições, em área comercial de produção de arroz nas safras agrícolas 2021/22 e 2022/23, no município de Dom Pedrito (RS). O esquema utilizado foi fatorial, cujo fator A consistiu em diferentes épocas de aplicação dos herbicidas, sendo denominadas de junho, julho e agosto, que se referem a 100, 78, 47 dias e 42, 26 e 10 dias antes da semeadura do arroz, para os anos agrícolas 2021/22 e 2022/23, respectivamente. O fator B constou da aplicação dos herbicidas s-metolachlor (1440 g i.a. ha-1), sulfentrazone + diuron (210 e 420 g i.a. ha-1), piroxasulfone (170 g i.a. ha-1) e flumioxazin (50 g i.a. ha-1), além da testemunha (sem aplicação). As variáveis avaliadas foram o controle (%), o número de plantas (m-2) na pré-colheita da cultura, número de sementes cheias, viáveis e inviáveis de arroz-daninho m-2 no solo, além da fitotoxicidade (%) à cultura e a produtividade de grãos (kg ha-1). Os herbicidas apresentaram valores de controle abaixo de 25%, e baixa redução do banco de sementes no solo, sendo considerados não eficazes nessa modalidade de aplicação. Os herbicidas s-metolaclhor, sulfentrazone + diuron e flumioxazin apresentaram os maiores valores de fitotoxicidade, entretanto não afetaram de modo significativo a produtividade da cultura. Desse modo, os herbicidas s-metolachlor, sulfentrazone + diuron, pyroxasulfone e flumioxazin, quando aplicados antes da semeadura do arroz, não apresentam controle satisfatório e não reduzem significativamente o banco de sementes do arroz-daninho.

ABSTRACT: Weedy rice (Oryza sativa L.) is the most important weed in irrigated rice cultivation, being one of the main factors limiting cereal productivity in Rio Grande do Sul (RS). Thus, this study determined the effect of pre-emergent herbicide use in autumnal management on the control and reduction of the weedy rice seed bank. Field experiments were conducted in a randomized complete block design with four replications in a commercial rice production area in the 2021/22 and 2022/23 growing seasons in Dom Pedrito (RS). The scheme used was factorial, with factor A consisting of different herbicide application times, namely June, July, and August, and corresponding to 100, 78, and 26 days and 42, 26, and 10 days before rice sowing for the agricultural years 2021/22 and 2022/23, respectively. Factor B consisted of the application of the herbicides s-metolachlor (1440 g a.i. ha-1), sulfentrazone + diuron (210 and 420 g a.i. ha-1), piroxasulfone (170 g a.i. ha-1), and flumioxazin (50 g a.i. ha-1), in addition to the control (no application). The evaluated variables were control (%), number of plants (m-2) at crop pre-harvest, number of full, viable, and non-viable wild rice seeds m-2 in the soil, crop injury (%), and grain yield (kg ha-1). The herbicides showed control values below 25% and low reduction of the seed bank in the soil, being considered ineffective in this application modality. The herbicides s-metolachlor, sulfentrazone + diuron, and flumioxazin exhibited the highest injury values; however, they did not significantly affect crop productivity. Thus, when applied before rice sowing, the herbicides s-metolachlor, sulfentrazone + diuron, pyroxasulfone, and flumioxazin did not provided satisfactory control and do not significantly reduce the wild rice seed bank.

ABSTRACT Crop pollination is indispensable for global food security. Studies that summarize the knowledge about pollination of specific crops are relevant because they identify the distribution of pollinators, guide pollinator management and conservation policies, and highlight knowledge gaps. Zucchini is cultivated in several countries, and its production is essentially dependent on pollinators. We aimed to integrate global data on zucchini pollination and answer the following questions: (1) What are the topics addressed and what are the trends of the results? (2) Which organisms pollinate zucchini, and how are they globally distributed? (3) What are the knowledge gaps? We performed a systematic literature review, built a network of countries and pollinators, and compared data on the efficiency of specific pollinators. Studies were conducted in 16 countries. Most studies investigated the frequency and diversity of floral visitors. Other approaches were discussed. Zucchini flowers fed 116 species of pollinators, especially bees. Six countries had almost exclusive groups of native pollinators. Apis, Bombus, and Peponapis were the most frequently recorded bees. Areas with high habitat diversity improve pollination. There was a significant difference in productivity when pollination was carried out by bees compared with pollination by Syrphidae. The main knowledge gaps are (1) the determination of which native, manageable pollinators are efficient for maximum zucchini production, (2) the investigation of how pollination influence fruit nutritional composition and seed quality, and (3) the identification of pollinators to the species level.

ABSTRACT The herbicides glyphosate and 2,4-D are widely used to control weeds in various crops. The rubber tree crop is exposed to these molecules, which can interfere with its establishment. This study aimed to assess the effects caused by the drift of glyphosate, 2,4-D, and the combination of both, in different proportions corresponding to 0, 4, 8, 16, 32, and 64% of the recommended dose (1,440 and 804 g a·e·ha-1 of glyphosate and 2,4-D, respectively). The characteristic symptoms when 2,4-D was present in the drift began with wilting and shriveling of young leaves and, at the highest doses, quickly progressed to chlorosis, shoot epinasty, and edge necrosis, while mature leaves showed a brown color, culminating in a high rate of fall. The effects of glyphosate were intensified after leaf flushing, which occurred 120 days after its application and resulted in long, narrow, twisted leaves in a spiral shape and deformed shoots. Drift above 32% from the combination of glyphosate and 2,4-D resulted in a high mortality rate, while 16% damaged growth and resulted in the death of some plants. The results indicate that drift from the combination of glyphosate and 2,4-D intensifies the symptoms of phytotoxicity in rubber trees, with drift above 8% being harmful. For the herbicides applied alone, there was full recovery of the plants in the drift of up to 16%, so it is important to avoid the drift of these herbicides in the management of weeds in the rubber tree crop.

ABSTRACT In precision agriculture, accurate delineation of management zones and understanding spatial variability of soil properties and crop yields are critical for optimizing resource allocation and improving productivity. Spatial variability of different environmental factors (soil and plants) is evident in several studies. Associations between the texture and chemical properties of the soil and cowpea yield have been tested, but a large, unexplained variance of ranges between kriged maps is usually reported. This suggests that a deeper exploration into the soil properties of these spatial interactions may help develop our understanding on how to reduce the number of soil property maps to delineate management zones and simplify interpretation. The main objective of this study was to investigate whether factorial kriging analysis can be used as an auxiliar variable to cokriging of soil properties and cowpea yield, and what is the potential of Spatial Fuzzy c-Means associated with factorial kriging analysis to delineate management zones. This study employed factor maps and spatial clustering to classify the cowpea field in management zones based on a multivariate and geostatistical analysis using soil texture and chemical properties. From Farmer, 66 soil samples were collected at a layer of 0.00-0.20 m, at points with a regular spacing of 12 m, at Agropecuária Milênio in the municipality of Tracuateua, Pará State, to make the technology applicable to the most common data available to farmers. It also used Spatial Fuzzy c-Means to generate estimated maps. Only the kriged maps of soil properties were inefficient in delineating management zones. Factor maps and Spatial Fuzzy c-Means were efficient in delineating the two management zones. Factorial kriging analysis can be used in cokriging to estimate soil properties and the cowpea field. The proposed method is a practical tool to delineate management zones, performing better and more efficiently compared with soil multiple property maps. The optimal number of management zones for cowpea cultivation was determined to be two. This encompasses soil management, yield considerations, and site-specific choices, all aimed at mitigating the impacts of precision agriculture on high productivity.

The study was conducted to establish an entrepreneurship framework for the improved productivity and financial performance of agricultural cooperatives in South Africa. For this reason, a sample of twenty-nine (29) agricultural cooperatives were selected in the North West Province using the snowball sampling method. Descriptive analysis was used to assess the nature and characteristics of primary agricultural cooperatives from the views of the cooperative managers. The results were presented using the general frequency distribution, and a summary of the descriptive analysis, such as frequencies and percentages, is illustrated using graphs, charts, and tables. Productivity was tested using a stochastic frontier, and three financial ratios (liquidity, solvency, and profitability) were used to measure financial performance. The study's findings assert that most of the agricultural crop cooperative managers are older men with primary education as the highest qualification, which is the lowest level of education. Moreover, the study finding from the stochastic frontier measure of technical efficiency revealed that the predicted technical efficiency varies slightly among cooperatives, with a minimum value of 0.9920, a maximum value of 0.9922, and a mean efficiency of .9920437. According to the results, the distribution of the technical efficiency shows that 100% of the sampled cooperative's technical efficiency skewed in the 0.90-1.00 range. It also identified that financial performance was the main contributor to the performance of the crop cooperatives. Moreover, the study's findings were used to formulate the proposed entrepreneurship framework, which will help improve the performance of agricultural cooperatives and affiliated members (smallholder farmers). The developed entrepreneurship framework suggests that agricultural managers should have management skills, opportunity skills, and networking skills to be entrepreneurial. By exploring these sets of skills, entrepreneurs will be developed in the agricultural value chain. Furthermore, this framework suggests that financial performance is the main contributor to crop cooperatives' performance.

ABSTRACT Water application to cultivated soil is often done without careful consideration in irrigated agriculture, leading to inefficient or suboptimal water usage. In many instances, the intricate relationship between soil, water, and plants, as well as the potential and limitations of irrigation systems, is overlooked. Sustainable irrigated agriculture necessitates the development of a soil moisture monitoring system that curtails water loss and enhances overall efficiency. This study aimed to develop and assess the efficiency of an intelligent system for monitoring soil moisture. The system comprises two stations: the first collects data on apparent soil moisture parameters using sensors, while the second transmits this data to a central processing station. The system precisely determines current soil moisture values, enabling estimation of the required irrigation water volume to meet the crop’s water demand based on field capacity. Results from the calibration curve of the sensors indicate that the system can measure current soil moisture precisely, aiding in irrigation management. For irrigated areas under unsaturated soil conditions, it is recommended to use tensiometers due to their higher reliability between field capacity and permanent wilting point, ensuring more accurate irrigation practices. usage instances plants systems overlooked stations station values crops crop s management conditions point practices

RESUMO Na agricultura irrigada, é comum a aplicação de água no solo cultivado sem critério, resultando em uso ineficiente ou não otimizado da água. Em muitos casos, a relação solo-água-planta, bem como as potencialidades e limitações dos sistemas de irrigação são ignoradas. A agricultura irrigada sustentável requer o desenvolvimento de um sistema de monitoramento da umidade do solo que evite a perda de água e melhore a eficiência do uso. O objetivo deste estudo foi desenvolver e avaliar a eficiência de um sistema inteligente de monitoramento da umidade do solo. O sistema é composto por duas estações: a primeira coleta os dados sobre parâmetros de umidade aparente do solo usando sensores, enquanto a segunda transmite esses dados para uma estação de processamento central. O sistema determina precisamente os valores atuais de umidade do solo, permitindo estimar o volume de água de irrigação necessário para atender à demanda hídrica da cultura com base na capacidade de campo. Os resultados da curva de calibração dos sensores indicam que o sistema pode medir com precisão a umidade do solo atual, auxiliando no manejo da irrigação. Para áreas irrigadas em condições de solo não saturado, recomenda-se o uso de tensiômetros devido à sua maior confiabilidade entre a capacidade de campo e o ponto de murcha permanente, garantindo práticas de irrigação mais precisas. critério casos soloáguaplanta, soloáguaplanta planta, planta solo-água-planta ignoradas estações central atual saturado recomendase recomenda se permanente precisas

ABSTRACT Biochar can promote crop production and soil quality. However, its characteristics depend on the waste used in its production and its effects may vary according to the species being cultivated and the management adopted. The aim of this study was to evaluate the application of biochar from animal waste on soil quality and the agronomic characteristics of the cowpea. An experiment was set up to test three types of biochar (bovine-BB, swine-SB and poultry-BP), with added fertiliser (BBF, SBF and BPF) and two control treatments, including the addition of calcium magnesium oxide (CT) and calcium magnesium oxide with fertiliser (CTF), giving a total of eight treatments with four replications. There was a respective increase of up to 102.94%, 1048%, 1560% and 360.22% in stem diameter, number of pods, number of grains per pod and stem dry matter from adding the biochar. The poultry biochar increased each of the above parameters even with no added fertiliser. There was no difference in basal soil respiration or β-glucosidase enzyme activity, whereas organic carbon (TOC), total nitrogen (TN), microbial carbon and soil labile carbon were greater with biochar. BBF gave the highest TOC content (24.40 g kg-1), while BP and BPF increased TN by around 61%. The application of biochar + fertiliser contributed to an average reduction of 56% in the soil metabolic quotient. Poultry biochar favoured both the agronomic characteristics of the cowpea and soil quality, while bovine biochar showed more marked results with the addition of fertiliser. However adopted bovineBB, bovineBB BB, BB (bovine-BB swineSB swine SB poultryBP, poultryBP , poultry-BP) BBF, (BBF CT (CT CTF, CTF (CTF) replications 10294 102 94 102.94% 1048 1048% 1560 36022 360 22 360.22 diameter pods βglucosidase β glucosidase activity TOC, (TOC) TN, (TN) 24.40 2440 24 40 (24.4 kg1, kg1 kg 1 kg-1) 61 61% 56 quotient poultry-BP (CTF 1029 10 9 102.94 104 156 3602 36 2 360.2 (TOC (TN 24.4 244 4 (24. kg-1 6 5 102.9 15 3 360. 24. (24 kg- 102. (2 (

RESUMO Os modelos de balanço hídrico do solo podem ser uma boa opção para estudar o crescimento das culturas e as respostas de rendimento sob diferentes níveis de fornecimento de água. O objetivo deste estudo foi avaliar os efeitos de diferentes estratégias de irrigação na produtividade do girassol e na produtividade da água usando experimentos de campo e simulações de balanço hídrico do solo. Dois experimentos de campo foram realizados. Em 2018/19, foram utilizadas quatro estratégias de irrigação (mantida a água disponível no solo em 80, 70, 60 e 50% da água total disponível). Em 2020/21 foi utilizado um tratamento irrigado e de sequeiro. O modelo SIMDualKc foi calibrado e validado para simular o balanço hídrico do solo e derivar os coeficientes duais usando variáveis da planta a partir de observações de campo. A produtividade de grãos foi maior no tratamento mantido a 70% do total de água disponível no Estudo I, sugerindo que a redução da reposição de água pode ser uma alternativa para o manejo da irrigação, principalmente em locais onde a água é escassa. Os indicadores estatísticos mostraram um bom desempenho do modelo na simulação da água disponível no solo, com coeficiente de determinação > 0,90 e eficiência de modelagem acima de 0,86 para todos os casos. O estudo permitiu a calibração do coeficiente de cultura simples e basal do girassol, que são parâmetros importantes para o manejo da irrigação. realizados 201819 2018 19 2018/19 mantida 80 70 6 50 disponível. . disponível) 202021 2020 21 2020/2 sequeiro I escassa 090 0 90 0,9 086 86 0,8 casos 20181 201 1 2018/1 8 7 5 20202 202 2 2020/ 09 9 0, 08 20 2018/

ABSTRACT Soil water balance models can be a good option for studying crop growth and yield responses under different water supply levels. The aim of this study was to evaluate the effect of different irrigation strategies on sunflower yield and water productivity using field experiments and soil water balance simulations. Two field experiments were performed. In 2018/19, four irrigation strategies (aimed at maintaining soil available water at 80, 70, 60, and 50% of total available water) were evaluated. In 2020/21 an irrigated and a rain-fed treatment were evaluated. The SIMDualKc model was calibrated and validated to simulate soil water balance and derive the dual coefficients using plant variables from field observations. Grain yield was highest in the treatment maintained at 70% of total available water in Study I, suggesting that a water replenishment reduction strategy may be an alternative to irrigation management, especially in locations where water is scarce. The statistical indicators showed good performance of the model in simulating the water available in the soil, with the coefficient of determination > 0.90 and modeling efficiency above 0.86 for all cases. The study allowed the calibration of the single and basal crop coefficients of sunflower, which are important parameters for irrigation management. levels simulations performed 201819 2018 19 2018/19 aimed 80 70 60 50 evaluated 202021 2020 21 2020/2 rainfed rain fed observations I management scarce 090 0 90 0.9 086 86 0.8 cases 20181 201 1 2018/1 8 7 6 5 20202 202 2 2020/ 09 9 0. 08 20 2018/

RESUMO A cultura do sorgo é considerada uma das mais importantes do mundo devido a sua versatilidade de utilização. No entanto, o estresse hídrico pode ser considerado uma ameaça significativa para sua produtividade. A busca por produtos mitigadores do estresse hídrico é uma área de pesquisa crucial na agricultura e na gestão de recursos hídricos. Assim, o objetivo deste trabalho foi avaliar a viabilidade do uso do ácido salicílico como atenuante de estresse hídrico na cultura do sorgo. O experimento foi conduzido em ambiente telado, em delineamento em blocos ao acaso com esquema fatorial 4 × 2, com quatro repetições. Foram avaliados quatro níveis hídricos (40, 60, 80 e 100% da evapotranspiração) e duas concentrações de ácido salicílico (0 e 2,76 g L-1). Foram analisados a altura das plantas, diâmetro do caule, número de folhas, trocas gasosas, pigmentos fotossintéticos e fluorescência da clorofila a. A aplicação de lâminas de irrigação deficitárias reduziu a altura da planta, diâmetro do colmo, número de folhas e clorofila total no sorgo. No entanto, quando essas lâminas foram associadas ao ácido salicílico, foi observado que houve atenuação dos danos, especialmente em relação a clorofila a e b. Além disso, o ácido salicílico quando aplicado isoladamente, contribuiu para redução da temperatura da folha e aumento da eficiência de uso da água. Assim, o ácido salicílico pode ser usado para mitigar os efeitos do estresse salino em plantas de sorgo. utilização entanto produtividade Assim telado 2 repetições 40, 40 (40 60 8 100 evapotranspiração 0 ( 276 76 2,7 L1. L1 L 1 . L-1) caule gasosas planta colmo danos b disso isoladamente água (4 6 10 27 7 L-1 L-

ABSTRACT The sorghum crop is considered one of the most important worldwide due to its versatility. However, water stress can be considered a significant threat to its yield. The search for products that mitigate water stress is a crucial area of research in agriculture and water resources management. Thus, the objective in this study was to evaluate the feasibility of using salicylic acid as a water stress attenuator in sorghum. The experiment was conducted in a screened environment in a randomized block design with a 4 × 2 factorial scheme, with four replicates. Four levels of water (40, 60, 80, and 100% of evapotranspiration) and two concentrations of salicylic acid (0 and 2.76 g L-1) were evaluated. Plant height, stem diameter, number of leaves, gas exchange, photosynthetic pigments, and chlorophyll a fluorescence were analyzed. Application of deficit irrigation depths reduced plant height, stem diameter, number of leaves, and total chlorophyll in sorghum. However, when these depths were associated with salicylic acid, it was observed that the damage was attenuated, especially in chlorophyll a and b. Furthermore, salicylic acid reduced leaf temperature and increased water use efficiency when applied alone. Thus, salicylic acid can be used to mitigate the effects of salt stress on sorghum plants. versatility However yield management Thus scheme replicates 40, 40 (40 60 80 100 evapotranspiration 0 ( 276 76 2.7 L1 L 1 L-1 evaluated height diameter leaves exchange pigments analyzed attenuated b Furthermore alone plants (4 6 8 10 27 7 2. L-

RESUMO: A batata-doce é uma cultura importante para a segurança alimentar com mercado mundial em ascensão. Com base nas alterações fisiológicas das plantas em resposta às condições climáticas e à fertilização, este estudo avaliou os efeitos da época de cultivo (período chuvoso e seco) e de doses de P2O5 (0, 50, 100, 200 e 400 kg ha-1) na produtividade total e por classes comerciais, bem como, a composição química das raízes de armazenamento de duas cultivares de batata-doce. A produtividade de raízes tuberosas foi maior na estação chuvosa. As doses ótimas agronômica e econômica foram de 128 e 95 kg ha-1 de P2O5 para a cultivar Canadense. A cultivar Uruguaiana não respondeu a adubação fosfatada, mas suas raízes tiveram maiores teores de matéria seca, lipídios, fibras, açúcares totais e redutores e amido. O cultivo de batata-doce no período chuvoso com doses de até 100 kg ha-1 de P2O5 aumenta a produtividade de raízes em classes de maior valor econômico e com maiores teores de carboidratos. Estes resultados ajudam os produtores a planejarem o plantio e a colheita da batata-doce ao longo do ano e contribui para a gestão da aplicação de fertilizantes fosfatados. RESUMO batatadoce batata doce ascensão fertilização seco PO P P2O 0, 0 (0 50 20 40 ha1 ha 1 comerciais como batatadoce. doce. chuvosa 12 9 ha- Canadense fosfatada seca lipídios fibras amido 10 carboidratos fosfatados ( 5 2 4

ABSTRACT: Sweet potato is an important food security crop, and the world market for this root is on the rise. Based on the physiological changes in plants in response to climatic conditions and fertilization, this study evaluated the effects of the growing season (rainy and dry season) and P2O5 doses (0, 50, 100, 200 and 400 kg ha-1) on total yield, marketable classes yields, as well as chemical composition of storage roots of two sweet potato cultivars. The storage roots yield was greater in the rainy season. The optimum agronomic and economic doses were 128 and 95 kg ha-1 P2O5 for the cultivar Canadense. Cultivar Uruguaiana did not respond to phosphate fertilization, but its storage roots had higher contents of dry matter, lipids, fibers, total and reducing sugars, and starch. Sweet potato cultivation in the rainy season with doses up to 100 kg ha-1 P2O5 increase root yield in marketable size classes in higher economic value and with higher carbohydrate contents. The results can help producers schedule the planting and harvesting of sweet potatoes throughout the year and contribute to the seasonal management of phosphate fertilizer application. ABSTRACT crop rise fertilization PO P O P2O 0, 0 (0 50 20 40 ha1 ha 1 yields cultivars 12 9 ha- Canadense matter lipids fibers sugars starch 10 application ( 5 2 4

ABSTRACT The estimation of evapotranspiration (ET) and crop water requirements are crucial for the proper management and allocation of water resources in terms of quantity, quality, and timeliness. Therefore, remote sensing estimation of ET using the SEBAL algorithm (Surface Energy Balance Algorithm for Land) can provide spatio-temporal, non-punctual data, unlike traditional calculations relying on the nearest meteorological station. This research analyzed ET using SEBAL, based on ten Landsat 8 satellite images processed with a program developed in the Model Builder of ArcGis® version 10.2. The analysis was conducted during the vegetative period of starchy corn from May to October 2016. Validation of the results happened with a drainage lysimeter installed in a monitoring plot. Additionally, the statistical indices - such as percentage relative error (PRE) (0,09), root mean square error (RMSE) (0,30), R2 (0,92), and Nash-Sutcliffe efficiency (NASH) (0,91) - indicated a good correlation of ET for starchy corn in the central highlands of Peru. The ET identified at ten monitoring points ranged from 1,05 to 7,79 mm d-1. (ET quantity quality timeliness Therefore Surface Land spatiotemporal, spatiotemporal spatio temporal, temporal spatio-temporal nonpunctual non punctual data station ArcGis 102 10 2 10.2 2016 plot Additionally PRE (PRE 0,09, 009 0,09 , 0 09 (0,09) RMSE (RMSE 0,30, 030 0,30 30 (0,30) R 0,92, 092 0,92 92 (0,92) NashSutcliffe Nash Sutcliffe NASH (NASH 0,91 091 91 (0,91 Peru 105 1 05 1,0 779 7 79 7,7 d1. d1 d 1. d-1 10. 201 00 0,0 (0,09 03 0,3 3 (0,30 0,9 9 (0,92 (0,9 1, 77 7, d- 20 0, (0,0 (0,3 (0, (0 (

RESUMO O conhecimento da complicada correlação entre as variáveis meteorológicas e o rendimento das culturas é crucial para a segurança alimentar e a sustentabilidade agrícola. Este estudo está centrado na investigação de como a radiação solar incidente afetou a produção agrícola na região de Gadarif, no Sudão, nos últimos quarenta anos. Usando uma estrutura preditiva, a pesquisa avalia tendências recentes na radiação solar incidente anual, examina variações temporais durante as estações de cultivo de sorgo e gergelim e utiliza técnicas de aprendizado de máquina para prever o rendimento das culturas. Além disso, ML, incluindo Extreme Gradient Boosting (XGBoost), Boosted Regression Forest (BRF) e K-Nearest Neighbours (K-NN), foram empregados para previsão de rendimento. Através de abordagens de redução de tendências e análises de correlação, foram identificadas relações significativas entre os indicadores de radiação solar incidente e o rendimento das culturas. Os resultados indicam uma correlação inversa substancial entre a radiação solar e a produção de sorgo, enquanto a produção de gergelim demonstra uma correlação positiva com a radiação solar. Tanto para o rendimento do sorgo como do gergelim, o K-NN surge como o modelo mais preciso, mostrando a importância da radiação solar incidente e da temperatura na previsão do rendimento das culturas. Estas descobertas destacam o potencial da aprendizagem de máquina para melhorar os modelos de previsão agrícola e informar as práticas agrícolas adaptativas na região. Em geral, este estudo fornece informações valiosas sobre a relação dinâmica entre a radiação solar incidente e o rendimento das culturas, enfatizando a importância de considerar fatores meteorológicos no planeamento e gestão agrícola. Gadarif Sudão anos preditiva anual disso ML XGBoost, XGBoost , (XGBoost) BRF (BRF KNearest K Nearest KNN, KNN NN (K-NN) preciso geral (XGBoost (K-NN

ABSTRACT Knowledge of the complicated correlation between meteorological variables and crop yield is crucial for food security and agricultural sustainability. This study aimed to investigate how incident solar radiation has affected crop production in the Gadarif region of Sudan over the last 41 years. Using a predictive framework, trends in annual incident solar radiation and temporal variations during sorghum and sesame growing seasons were examined and machine learning (ML) with Extreme Gradient Boosting (XGBoost), Boosted Regression Forest (BRF), and K-Nearest Neighbors (K-NN) was used to predict crop yield. Significant relationships between incident solar radiation indicators and crop yields were identified via detrending approaches and correlation analyses. Results indicate a significant inverse correlation between solar radiation and sorghum yield, and a positive correlation between sesame yield and solar radiation. For both sorghum and sesame yield, K-NN was the most accurate model, demonstrating the significance of incident solar radiation and temperature in predicting crop yield. These findings highlight the potential of ML to improve agricultural forecasting models and inform adaptive agricultural practices in the region. In general, this study provides valuable insights into the dynamic relationship between incident solar radiation and crop yield, emphasizing the importance of considering meteorological factors in agricultural planning and management. sustainability 4 years framework (ML XGBoost, XGBoost , (XGBoost) BRF, BRF (BRF) KNearest K Nearest KNN NN (K-NN analyses model general management (XGBoost (BRF

RESUMO: A batata (Solanum tuberosum L.) é uma fonte cada vez mais importante de alimento, de emprego rural e de aumento de renda, contribuindo para a estabilização social do meio rural, principalmente nos países em desenvolvimento. Entretanto, trata-se de uma cultura bastante sensível às doenças, as quais afetam drasticamente a produtividade, além da necessidade de controle elevar o custo de produção e o risco de contaminação ambiental. O objetivo do trabalho foi avaliar o controle da requeima (Phytophthora infestans) da batata cv. Ágata com base no sistema de previsão de doenças Blitecast e sua produtividade de tubérculos em duas safras. Os experimentos foram conduzidos na primavera de 2022 e no outono de 2023, no município de Passo Fundo. Diferentes valores de severidade (VS) acumulada, calculados pelo modelo Blitecast, constituíram os tratamentos VS 18, VS 24 e VS 30, acrescentando o tratamento semanal e a testemunha, sem aplicação. O delineamento foi em blocos casualizados com quatro repetições, sendo cada parcela composta de cinco fileiras de plantas com 3 metros de comprimento. Foram avaliadas a severidade da requeima e a produtividade final de tubérculos. A utilização do sistema de previsão Blitecast para o controle da requeima da batata, permite reduzir o número de aplicações de fungicidas sem afetar a produtividade final de tubérculos. O sistema de previsão deve ser utilizado como ferramenta para o manejo integrado de doenças da batata. RESUMO Solanum L. L alimento renda desenvolvimento Entretanto tratase trata se ambiental Phytophthora infestans cv safras 202 2023 Fundo (VS acumulada 18 2 30 testemunha aplicação repetições comprimento 20 1

ABSTRACT: Potato (Solanum tuberosum L.) is an increasingly important source of food, rural employment, and financial income, contributing to the social stabilization of rural areas, especially in developing countries. However, this crop is very sensitive to diseases, which drastically affect yield, in addition to increasing production costs for their control and the risk of environmental contamination. This study evaluated the control of late blight (Phytophthora infestans) in potato cv. Ágata based on the Blitecast disease forecast system and tuber yield in two growing seasons. The experiments were conducted in the spring of 2022 and autumn of 2023 in the municipality of Passo Fundo. Different accumulated severity values (SV) were calculated by the Blitecast model, which constituted the treatments SV 18, SV 24 and SV 30, in addition to a weekly treatment and a control without application. The experimental design consisted of randomized blocks with four replications, in which each plot had five rows of plants measuring 3 m in length. Late blight severity and the final tuber yield were evaluated. The use of the Blitecast forecast system to control potato late blight allows for a reduction in the number of fungicide applications without affecting the final tuber yield. The forecast system should be used as a tool for the integrated management of potato diseases. ABSTRACT Solanum L. L food employment income areas countries However diseases contamination Phytophthora infestans cv seasons 202 Fundo (SV model 18 2 30 application replications length 20 1