ABSTRACT Coffee is a beverage that is widely consumed throughout the world, especially in Brazil. Its high market value makes it a prime target for fraud. To combat this fraud, different methods have been developed and improved over the years to detect potential adulterants in coffee and guarantee its authenticity. Nevertheless, these methods still pose a challenge. Therefore, this work aimed to identify adulteration markers in roasted and ground Arabica coffee using high-performance liquid chromatography (HPLC) to determine the flavonoid and phenolic acid profile. Samples of Arabica coffee beans and defective coffee beans were adulterated with coffee husks by preparing mixtures in different proportions (97:3, 90:10, 80:20 % w/w), which were then subjected to chromatographic and chemometric analyses, including principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA). Using the phenolic compounds associated with chemometric methods, protocatechuic acid was identified as a marker of adulteration in roasted and ground coffee with Arabica coffee husks, even at low adulterant concentrations (3 %). world Brazil fraud authenticity Nevertheless challenge Therefore highperformance performance HPLC (HPLC profile 973, 973 97 3, 3 (97:3 9010, 9010 90 10, 10 90:10 8020 80 20 80:2 w/w, ww w/w , w w/w) analyses PCA (PCA PLSDA. PLSDA PLS DA . (PLS-DA) ( %. %) 9 (97: 901 1 90:1 802 8 2 80: (PLS-DA (97 90: (9

ABSTRACT Quantifying the impact of driving factors on crop water productivity (WP) is essential for efficient agricultural water use. To date, few studies have investigated the influence of management and environmental factors on sugarcane WP at the mill scale. This study aimed to assess the contributions of management practice factors, weather variables, and soil management zones (SMZs) on on-farm sugarcane WP in a single mill in the southern region of Brazil. An extensive on-farm database of commercial sugarcane field plots was used with a weather database to estimate evapotranspiration and water-limited potential yield (Yw). This was achieved by employing a crop sugarcane model to calculate actual water productivity (WPa) and attainable water productivity (WPw). The results demonstrated an inverse relationship between management practices and WPa, while harvest date and vinasse positively impacted on WPa. The Yw, actual yield (Ya), actual evapotranspiration (ETa) or crop evapotranspiration (ETc), and WPa varied according to the SMZ. The lowest WPa values were observed in the worst soils. The analysis revealed that weather variables collectively accounted for 46.2 % of WPa variability, management practice factors accounted for 40.5 %, and SMZs contributed 13.3 % of WPa variability. Despite weather variables being the primary source of WPa variability, management practice factors still played a key role in WPa variability. (WP use scale (SMZs onfarm farm Brazil waterlimited limited Yw. Yw . (Yw) (WPa WPw. WPw (WPw) Ya, Ya , (Ya) ETa (ETa ETc, ETc (ETc) SMZ soils 462 46 2 46. variability 405 40 5 40. 133 13 3 13. (Yw (WPw (Ya (ETc 4 1

ABSTRACT To ensure the sustainability of agriculture and the production of safe food, supplementary irrigation is required for crops that are primarily rainfed, particularly in arid conditions. This study aimed to determine the water stress response of safflower (Carthamus tinctorius L.) under limited water conditions and to establish the crop water stress index (CWSI) as a basis for crop-based irrigation scheduling. Irrigation applications were conducted using the line-source sprinkler irrigation method to create three constraints (35, 75, and 100 % of the water requirement) and a rainfed condition (control plot) under different crop growth periods. The main plots consisted of three growth periods of safflower and only one supplementary irrigation during the vegetative, flowering, and ripening periods. The highest yield was obtained at 3.06 and 3.42 t ha–1 for 2019 and 2021, respectively, in the plot that was irrigated in each period during the growing season. The irrigation water (I) and water use efficiency (WUE) were 0.42 and 0.51 kg m–3 in the first year, and 0.47 and 0.59 kg m–3 in the second year, respectively, for the subject fully irrigated throughout the season. The upper base value, which can be utilized in calculations of the CWSI, was determined to be approximately 14.50. The lower base equation was obtained as Y = −4.9428 (VPD) + 19.121 at a statistical significance level of 1 % where Y is yield and VPD is vapor pressure deficit. The CWSI values calculated for each treatment ranged between −0.25 and 1.45. The threshold value at which irrigation should commence was determined to be 0.63, and it will serve as a valuable reference data source for irrigation scheduling. food Carthamus L. L (CWSI cropbased based scheduling linesource line 35, 35 (35 75 10 requirement control vegetative flowering 306 3 06 3.0 342 42 3.4 ha1 ha ha– 201 2021 respectively season I (I WUE (WUE 042 0 0.4 051 51 0.5 m3 m m– year 047 47 059 59 1450 14 50 14.50 49428 4 9428 −4.942 (VPD 19121 19 121 19.12 deficit 025 25 −0.2 145 45 1.45 063 63 0.63 (3 7 30 3. 34 20 202 04 0. 05 5 14.5 4942 942 −4.94 1912 12 19.1 02 2 −0. 1.4 6 0.6 ( 14. 494 94 −4.9 191 19. −0 1. 49 9 −4. − −4

ABSTRACT Safflower is a crop with seeds containing high amounts of oleic and linoleic acids, which have applications in cosmetics, food, feed, and pharmaceutical industries. Safflower seeds are generally reported to undergo after-ripening and to have physiological dormancy. This study comprehensively analyzed the physical changes and the induction of dormancy and germinability in developing seeds to determine whether the safflower population is adequately developed during seed dispersal. From the 80th day after flowering (DAF), seeds were collected separately from plants on a weekly basis until 131 DAF, resulting in seven sampling dates. The changes in length, diameter, thickness, water content, and fresh and dry weight during seed development were measured. Simultaneously, the effects of dark and light, temperature, and gibberellic acid (GA3) (0, 50, and 100 µM) on seed germination, dormancy and germination characteristics of safflower seeds were investigated. The seeds ceased to increase in length, width and thickness, reaching a mature appearance at 131 DAF, with a dry mass per seed of 0.0443 g. The water content decreased between 117 and 124 DAF, indicating an obvious process of desiccation during the final stage of seed maturation. Germination capacity is acquired at 117 DAF, as evidenced by an increase in germination and a reduction in dormant seeds, particularly at low temperatures (10°C) and with GA3 supplementation. At 131 DAF, seeds exhibited 7.9 % water content, and there was an increase in seed germination and a decrease in seed dormancy status, regardless of GA3 supplementation and temperature. acids cosmetics food feed industries afterripening ripening dispersal th DAF , (DAF) 13 dates length diameter thickness measured Simultaneously light temperature GA (GA3 0, 0 (0 50 10 µM investigated 00443 0443 0.044 g 11 12 maturation 10°C 10C C (10°C 79 7 9 7. status (DAF 1 (GA ( 5 0044 044 0.04 004 04 0.0 00 0.

ABSTRACT: The tomato (Solanum lycopersicum L.) plays a vital role in global agriculture and is a model organism in genetic studies. Visual classification of tomatoes for genetic improvement programs faces challenges due to variety diversity, uneven ripening, external damages, and evaluator subjectivity. Recent advances in the field of computational resources, such as image phenotyping have enabled pre- and post-harvest assessments that are both fast and precise. This study aimed to classify tomato fruits based on shape, group, color, and defects using Convolutional Neural Networks (CNNs). The performance of five architectures - VGG16, InceptionV3, ResNet50, EfficientNetB3, and InceptionResNetV2 was evaluated to identify and determine the most efficient one for this classification. The research considered ten hybrids and their five parental lines. The experiment was conducted in the field, and images of ripe fruits were acquired using a portable mini studio. The ExpImage package in R software was used for fruit individualization by image and to aid in creating a synthetic database for network training. Images were grouped according to their classifications in terms of shape, color, groups, and defects. The InceptionResNetV2 architecture was the most efficient, achieving metrics such as precision and recall exceeding 93 % for most analyzed variables, and shorter classification times. This study advances the understanding of CNN applications in agriculture and research and provides valuable guidelines for optimizing classification tasks in distinct types of fruits. ABSTRACT Solanum L. L studies diversity ripening damages subjectivity resources pre postharvest post harvest precise shape group color CNNs. CNNs . (CNNs) VGG16 VGG InceptionV3 InceptionV ResNet50 ResNet EfficientNetB3 EfficientNetB InceptionResNetV lines studio training groups 9 variables times (CNNs VGG1 ResNet5

ABSTRACT A bibliometric study was undertaken to analyze the spatiotemporal distribution of works related to managing boron (B) in Eucalyptus spp. from 1970 to 2022. This analysis was based on the Web of Science and Scopus databases, and 121 documents were retrieved. The eight main aspects analyzed were (1) annual scientific production, (2) most relevant research sources, (3) world scientific production, (4) association between countries, (5) most relevant affiliations, (6) indexed terms, (7) most relevant authors, and (8) most cited documents. The results indicated that publications of studies about B in eucalyptus have increased significantly over the last decade (2010-2020). Brazil has produced the most studies relating to the nutritional management of B in eucalyptus, as is mainly reflected in the numbers of researchers, research institutions, and journals that have published on the subject. Our study found that most works have been developed regionally, with little international collaboration between countries although researchers from the United States are the most frequent partners in international collaborations. The majority of the articles analyzed focused on studying the influence of B doses on the growth and rooting of eucalyptus seedlings. Finally, one significant gap in the literature is the need for studies on sources of B via soil and leaves, and new studies on this subject should be commissioned. Thus, the bibliometric review was an efficient approach for observing the main advances in managing B in eucalyptus in recent decades and identifying the leading research groups and future opportunities for scientific advances in this area. (B spp 197 2022 databases 12 retrieved 1 (1 production 2 (2 3 (3 4 (4 5 (5 affiliations 6 (6 terms 7 (7 authors 8 (8 20102020. 20102020 2010 2020 . (2010-2020) institutions regionally collaborations seedlings Finally leaves commissioned Thus area 19 202 ( 2010202 201 (2010-2020 20 201020 (2010-202 20102 (2010-20 (2010-2 (2010- (2010 (201 (20

ABSTRACT: Meat consumption has been declining in favor of a shift towards poultry due to its lower price, health benefits and consumers’ preference. One of the ways to enhance broiler production and quality is to substitute standard maize (SM) with quality protein maize (QPM) in animal diets. QPM is a high lysine maize with improved nutritional and biological values, developed by the selection of a naturally occurring recessive opaque2 mutation, which can reduce the use of costly feed components - synthetic lysine and protein ingredients such as soybean and fishmeal. Different feeding trials with QPM in broiler diets indicated that body weight gain (BWG), feed conversion ratio (FCR), breast meat yield (BMY), and abdominal fat (AF) are the main improved features. Herein, an overview of the effects of QPM on broiler performance and carcass characteristics, as well as the financial effects of its use, is presented. Different effects of QPM were observed, depending, in the main, on the QPM hybrid used in the trial. The possible reasons for the discrepancies and suggestions for overcoming them, focused on the utilization of the full potential of QPM, are discussed. ABSTRACT price consumers preference SM (SM (QPM values opaque mutation fishmeal BWG, BWG , (BWG) FCR, FCR (FCR) BMY, BMY (BMY) AF (AF features Herein characteristics presented observed depending trial them discussed (BWG (FCR (BMY

ABSTRACT Despite the significant socioeconomic impact of yam cultivation in developing countries, this field needs more scientific studies and incentives. In Brazil, the absence of a developed processing chain has resulted in a considerable production loss due to the predominant form of commercialization (in natura). This study aimed was to examine the physicochemical and technological composition of yams of the species Dioscorea trifida L., including both white and purple varieties. The aim was to contribute to an increase in food utilization and technological potential. The proximate composition of the flours indicated that the yam species investigated have the potential for human consumption and are good sources of energy (1,489 and 1,527 kJ), with considerable levels of total fiber (8.18 and 6.69 g 100 g–1), potassium (1,325 and 981 mg 100 g–1), and phenolic compounds (133 and 110 mg 100 g–1) for white and purple yams, respectively. Additionally, the yams demonstrated distinct properties in water and oil, indicating their potential for use in breading applications. The viscoamylographic profiles of purple yam flour and yam starches were found suitable for use in quick-cooking foods that reach high viscosity when heated, whereas white yam flour was identified as a suitable thickening agent. The yams yielded flours and starches with favorable characteristics as food ingredients, offering greater added value and enhanced stability compared to the original raw materials. They present a sustainable alternative for reducing post-harvest losses and, as they are gluten-free, they cater to the celiac population. countries incentives Brazil natura. natura . natura) L L. varieties 1,489 1489 1 489 (1,48 1527 527 1,52 kJ, kJ , kJ) 8.18 818 8 18 (8.1 669 6 69 6.6 10 g–1, g1 g–1 1,325 1325 325 (1,32 98 133 (13 11 respectively Additionally oil applications quickcooking quick cooking heated agent ingredients materials postharvest post harvest glutenfree, glutenfree gluten free, free gluten-free population 1,48 148 48 (1,4 152 52 1,5 8.1 81 (8. 66 6. g– 1,32 132 32 (1,3 9 13 (1 1,4 14 4 (1, 15 5 1, 8. (8 1,3 3 (

ABSTRACT In January 2022 and April 2024, plants of Handroanthus heptaphyllus, designated HP22 and HP24, respectively, exhibiing symptoms of mosaic, leaf blistering, and ring spots were observed in the municipality of Piracicaba, São Paulo state, Brazil. Molecular analysis of plant HP22 revealed the presence of cucumber mosaic virus (CMV, genus Cucumovirus), and phylogenetic analysis classified it into subgroup IA. Additionally, CMV was identified using a plate-trapped antigen enzyme-linked immunosorbent assay (PTA-ELISA) in both plants (HP22 and HP24). The virus of HP22 plant was mechanically transmitted to Handroanthus albus, H. heptaphyllus, H. impetiginosus, Tabebuia heptaphylla, and T. roseoalba plants, a transmission that PTA-ELISA confirmed. Furthermore, transmission was observed from Aphis gossypii to H. heptaphyllus and T. heptaphylla plants. Despite the absence of discernible symptoms, the presence of CMV was confirmed through PTA-ELISA. To the best of our knowledge, this represents the first report on the occurrence of CMV in H. heptaphyllus worldwide. 202 2024 HP HP2 HP24 respectively blistering Piracicaba state Brazil CMV, (CMV Cucumovirus, Cucumovirus , Cucumovirus) IA Additionally platetrapped plate trapped enzymelinked enzyme linked PTAELISA PTA ELISA (PTA-ELISA (HP2 HP24. . HP24) albus H impetiginosus T Furthermore PTAELISA. ELISA. knowledge worldwide 20 (HP 2

ABSTRACT Nitrogen (N) is essential to the fertilization of coffee. The fertilizer most used to meet this demand is urea, although it has high rates of N loss due mainly to ammonia volatilization. To reduce this loss, fertilizers with increased efficiency have emerged. Thus, the aim was to select the most appropriate nonlinear regression model to describe N loss attributable to ammonia volatilization in slow- and controlled-release fertilizers applied to coffee plants and to compare the different fertilizers based on the parameters of the selected model. The data studied are controlled-release fertilizers: urea + sulfur + polymer (U+S+P), urea + plastic resin (U+PR), urea + polymer insoluble in water (U+PIW) and slow-release fertilizer: urea formaldehyde (UF) applied to coffee. The Gompertz, Brody, and von Bertalanffy Logistics models were fit by the least squares method. The goodness of fit was assessed using the adjusted coefficient of determination, mean absolute deviation, and Akaike's information criterion. The von Bertalanffy model was the most appropriate for describing the data in most cases. After selecting the best model for the means, the parameters of the von Bertalanffy model were estimated again for each repetition of treatments. With the repetitions of the parameter estimates of these models, the F test of analysis of variance (ANOVA) and Tukey's test were applied. In the F test, p < 0.05 for all parameters. In the Tukey's test, the UF fertilizer reached the asymptote more quickly and presented a lower accumulated loss of N in the coffee tree. The fertilizers U+S+P and U+PIW have later inflection points (IP). (N emerged Thus slow controlledrelease controlled release U+S+P, USP , U S P (U+S+P) U+PR, UPR U+PR PR (U+PR) UPIW PIW (U+PIW slowrelease (UF Gompertz Brody method determination deviation Akaikes Akaike s criterion cases means treatments ANOVA (ANOVA Tukeys Tukey 005 0 05 0.0 tree IP. IP . (IP) (U+S+P (U+PR 00 0. (IP

ABSTRACT This study aimed to evaluate the use of decision trees to select sows based on the production parameters of parity order (PO) 1 sows from a commercial herd. Data were collected at a piglet production unit with a capacity of housing 5,500 sows in collective pens. Piglet production and sow culling information was collected from PO1 and PO2 sows. The period from January 2017 to March 2020 was analyzed. The correlation analysis was used to identify the influence of the production parameters on sow culling after exploring the database using the graphical analysis and descriptive statistics. The ANOVA was applied to evaluate differences in the response variables between culled and unculled sows. Two models were proposed using the decision tree method: model 1 referred to sow culling, and model 2 comprised the total number of liveborn piglets (TBA). The calculated value was close to 0, although the correlations of the production parameters with culling were statistically significant. The mean number of weaned piglets was higher for unculled sows in PO1 (p < 0.05). The number of weaned piglets, total number of liveborn piglets, and weaning-service interval did not differ in the unculled and culled sows in PO2 (p > 0.05). Using a confusion matrix as a metric tool, the decision tree method used in this study provided consistent results for this database, indicating its possible use for decision-making in sow selection. PO (PO herd 5500 5 500 5,50 pens 201 202 analyzed statistics TBA. TBA . (TBA) 0 significant p 0.05. 005 0.05 05 0.05) weaningservice weaning service tool decisionmaking making selection 550 50 5,5 20 (TBA 00 0.0 55 5, 0.

ABSTRACT Rice (Oryza sativa) is among the most important crops worldwide; however, rice crops demand high water consumption. Future projections indicate reduced water availability and severe drought events, which may affect rice crops as the cereal is highly sensitive to drought stress. Thus, cultivars with lower water demand for irrigation or drought escape capacities are among the strategies to address this issue. This study aimed to assess five mutant rice genotypes in terms of growth cycle length, other agronomic interest traits, and drought response in the reproductive stage. The mutant genotypes evaluated showed a shortening of the growth cycle compared to the original cultivar, BRS Pampeira, representing a drought escape strategy. In addition, mutations did not negatively affect plant height and crop yield. However, similar to the original cultivar, mutants are not tolerant to water deficit in the reproductive stage. The genotypes evaluated have potential to be released as early cycle cultivars, which can reduce water demand during the harvest season while presenting a drought escape strategy. Oryza sativa worldwide however consumption events stress Thus issue length traits stage cultivar Pampeira strategy addition yield However

ABSTRACT The coffee sector is estimated to have a retail market value in excess of USD 83 billion, and over 125 million jobs have been created in the global coffee chain. The coffee specialty market has recently increased significantly, generating opportunities to certify coffee beans produced by sustainable practices. This avoids practices potentially harmful to the environment. Agroforestry, organic farming, intercropping, and soil conservation strategies are examples of sustainable alternatives in the production of coffee. In this review, we focus on practices for the sustainable management of coffee plantations that can help farmers fight problems caused by global warming. More specifically, we address soil organic matter and microbiota, the use of Urochloa grass as intercrop in coffee plantations, shading systems (including agroforestry), and organic coffee production. We concluded that from the agronomic viewpoint, we already have production techniques that can replace traditional ones with significant advantages accruing to the quality of coffee orchard ecosystems. Nevertheless, we need scientific research efforts to deal with the existing gaps and the engagement of the whole coffee chain as a means of guaranteeing an adequate profit to those smallholders who adopt and maintain sustainable practice and are capable of bringing several positive changes to the coffee crop, including the use of microbia-based commercial products and new organic sources of nutrients to complement chemical fertilizers and improve coffee quality. 8 billion 12 significantly environment Agroforestry farming intercropping review warming specifically microbiota agroforestry, agroforestry , agroforestry) viewpoint ecosystems Nevertheless crop microbiabased microbia based 1

ABSTRACT The knowledge of correlations between multiple characteristics in plant breeding leads to more effective selection strategies. The path analysis allows refining these correlations and partitioning them into direct and indirect effects on the main variable. The path analysis becomes more effective when based on predicted genotypic values rather than phenotypic values. The objective was to evaluate correlations between the main agronomic characteristics of grapevine cultivation and their direct and indirect effects on yield per plant to improve selection strategies to reach superior progenies. A randomized complete block design was installed using four cultivars and two rootstocks, five repetitions, and plots of four plants. Data from three crop seasons were analyzed from a mixed model and genetic correlations were subject to the path analysis. A high and positive significant correlation was found between average fruit production and the number of clusters per plant. On the other hand, the average production per plant showed a low correlation to cluster width and height per grapevine. Wider and higher berries tend to increase berry fresh mass and therefore increase the contents of soluble solids and reducing sugars. Among the features, the number of clusters per plant has the strongest direct effect on fruit production in grape cultivars. Berry fresh mass, berry length, and berry width were indirectly influenced by the number of clusters and showed high heritability compared to yield and number of clusters. These characteristics could be used in indirect selection. variable progenies rootstocks repetitions plants hand sugars features length

ABSTRACT The technology provided by greenhouses is essential for protecting crops sensitive to bioclimatic adversities and for improving agricultural production indexes. However, the need to know the exact interaction between the flexible coating and the structure under wind action has motivated new studies. The objective was to perform an in-depth review of the scientific and technological advances regarding methodologies to obtain parameters related to wind actions that are essential for the structural safety of greenhouses. This study showed the relevance of experimental methods; however, the limitations of the study are diverse, as field experiments require the construction and modifications of a prototype, which demand time and financial resources. Experiments in wind tunnels with models on a reduced scale have contributed significantly, as it allows to control the wind flow; however, in plastic-covered greenhouses, discrepancies occur due to the impossibility to represent the aeroelasticity of the construction. Modeling via computational fluid dynamics (CFD) has proven to be a solution for extrapolating limitations in experimental methods by facilitating changes in the construction model and wind flow. In addition to pure turbulence models, studies on hybrid turbulence models (Scale-Resolving Simulation) must be deepened to obtain greater accuracy of pressure coefficients. The complexity of the subject and the need for new contributions to plastic-covered greenhouse projects are a reality, which outlines a promising horizon for research development in the rural construction sector. indexes However indepth depth however diverse prototype resources significantly flow plasticcovered plastic covered CFD (CFD ScaleResolving Scale Resolving Simulation coefficients reality sector