Soil Science, Agronomy and Crop Science, Plant Science, Agricultural and Biological Sciences
26
Scopus Publications
Scopus Publications
Evidence of climate change in Brazilian subtropical agricultural areas: a preliminary study Luiz Henrique Scarparo Sassi, Talison Roberto Maurer, Rafael Rieder, Mateus Possebon Bortoluzzi, Claudia Petry, et al. Regional Environmental Change, 2026 Climate change impacts ecosystems, economies, and a wide range of life forms. Agriculture contributes to climate change, but also suffers from its consequences. However, it is difficult to gauge evidence of climate change and the possible consequences for agriculture. In addition, it is still unclear to what agricultural decision makers should do with academic findings in the face of a new normal climate status. This study aims to identify climate change features and estimate current implications for Brazilian subtropical agricultural regions. We collected data on air temperature, precipitation, and aridity index from nine municipalities, covering a large area of southern Brazil. They were selected due to their representation in agricultural production and diverse climates and soils. The methodology analyzed meteorological data from the NASA POWER databases for rural areas from 2003 to 2012, which was compared with a recent period between 2013 and 2022. The data indicated changes in air temperature, rainfall, and aridity index patterns in the recent period. The average air temperature increased by 0.44 $${}^{\circ }\text {C}$$ ∘ C month $$^{-1}$$ - 1 , and the average precipitation reduced by 0.49 mm month $$^{-1}$$ - 1 . Soil aridity increased by about 0.35 for every $$1~{}^{\circ }\text {C}$$ 1 ∘ C of air temperature rise. Our findings provide evidence that climate change affects subtropical Brazilian crops negatively. Agriculture should be revisited to implement well-known sustainable strategies and to create new ones. Implementing an adequate no-till system, using the early premises and agroecology practices, and using biofertilizers and adapted genetic breeding are some of the new perspectives in Brazilian agriculture.
Automated Irrigation Enhances Water Use Efficiency, Yield, and Fruit Quality of Strawberry Plants Grown with Biostimulants in a Soilless System Samuel Zottis Dal Magro, José Luís Trevizan Chiomento, Francisco Wilson Reichert Junior, Luciane Maria Colla, Willingthon Pavan, et al. Agriengineering, 2026 This study aimed to develop an automated irrigation system for substrate-grown strawberry plants and to evaluate whether irrigation and biostimulation levels influence yield and fruit quality. The system comprised two Arduino Pro Mini devices equipped with LoRa transceivers, substrate moisture sensors, and servomotors for valve control. Six biostimulants were assessed [control (without biostimulation), microalga Spirulina platensis (SP), mycorrhiza Scutellospora heterogama (SH), a mycorrhizal community (SJ CS), SP + SH, and SP + SJ CS] under four irrigation levels [reference tension of 5 kPa (moderate water deficit), 10% above the reference tension (severe water deficit), 10% below the reference tension (mild water deficit), and standard irrigation without restriction] defined by substrate water tension. Data were collected in real time and analyzed using the InfluxDB (version 3 Core) and Grafana (version 12.3.2) platforms. The automated system-controlled valve activation was based on moisture sensor readings, enabling the establishment of irrigation levels supported by energy-efficient technologies. Under standard irrigation, fruits exhibited lower acidity and improved flavor compared to those from plants under water deficit. Plants subjected to mild water deficit or standard irrigation achieved higher yields than those exposed to moderate or severe deficit. Fruits produced by plants treated with S. heterogama showed higher phytochemical concentrations. Overall, the findings support the use of automated irrigation and biostimulation as sustainable management strategies to enhance water use efficiency, productivity, and fruit quality in soilless strawberry cultivation.
Microbial Biostimulants and Their Combinations Alter Phytochemical Quality of Strawberry Fruits in a Soilless Cultivation System José Luís Trevizan Chiomento, Nícolas Alberton Mandelli, Ana Júlia Schroeder Ely, Matheus Welter, Henrique Didó, et al. Horticulturae, 2026 This study investigated the effect of arbuscular mycorrhizal fungi (AMF), Trichoderma harzianum, and their combinations on yield and quality of strawberry fruits in a soilless cultivation system. Six treatments were applied, control (no biostimulants), T. harzianum (TH), Claroideoglomus etunicatum (CE), a multispecies mycorrhizal community (IP CS), TH + CE, and TH + IP CS, arranged in a randomized block design with four replicates. While total fruit yield was not significantly affected, the application of T. harzianum, either alone or in combination with AMF, enhanced cumulative fruit production. The use of C. etunicatum improved sugar content and the sugar/acid ratio by 28% and 31%, respectively, compared to the control. Biostimulant treatments also increased total phytochemical content, particularly with the multispecies inoculant IP CS (increased anthocyanin content by 39% compared to the control) and the combinations TH + CE (flavonoid content 41% higher than the control) and TH + IP CS (flavonoid content 39% higher than the control). Multivariate analysis grouped the treatments into two groups, with the control (no biostimulants) forming a distinct group. In conclusion, biostimulation of ‘San Andreas’ strawberry plants improved fruit quality without significantly increasing yield. The combined use of AMF and T. harzianum is proposed as a sustainable strategy for enhancing fruit quality in soilless strawberry cultivation systems.
Biostimulants as a Tool for Mitigating Water Deficit Stress in Strawberry Cultivation Júlia Letícia Cassel, Laura Valentina Caus Maldaner, Mateus Possebon Bortoluzzi, Luciane Maria Colla, Francisco Wilson Reichert Junior, et al. Agronomy, 2025 This bibliometric review analyzed research published between 2020 and 2025 addressing water stress in strawberry plants and evidenced the use of biostimulants as a promising tool in mitigating this stress. Water requirement of strawberry plants varies according to the agroecosystem of cultivation and genotype used to establish the crop. Strawberry plants develop large leaves with a high water content and stomata, which results in high transpiration rates. Under water deficit, the photosynthetic capacity of the plant is reduced and the water content in the leaves is lower. Additionally, molecules such as proline, catalase, and peroxidase are produced, indicating enzymatic oxidative stress. Conversely, the fruit quality is positively influenced when the plant suffers water restrictions (up to 75% of the pot/field capacity). The use of biostimulants represents a potential biotool to mitigate water deficit in strawberry plants, such as the application of organic acids, plant extracts, seaweed, bacteria, and fungi. The use of these products in situations of water deficit or aiming at a reduction in water consumption is still a topic of research gaining attention. Therefore, the application of biostimulants combined with irrigation management with lower water consumption corroborates the search for more productive and sustainable agri-food systems.
Interference and economic damage threshold of smooth pigweed in soybean Serleni Geni Sossmeier, Mateus Possebon Bortoluzzi, Mauro Antônio Rizzardi Pesquisa Agropecuaria Brasileira, 2025 The objective of this work was to determine the interference and economic damage threshold of smooth pigweed (Amaranthus hybridus) in soybean. The experiments were carried out in two agricultural harvests (2020/2021 and 2021/2022) in an area with natural infestation of smooth pigweed. The treatments consisted of different levels of smooth pigweed infestation (0, 1, 3, 6, 9, and 12 plants per square meter) in an area cultivated with soybean. The design was completely randomized with ten replicates. The analyzed variables were: number of pods per plant; grains per pod; and soybean grain yield, converted into loss percentage in relation to the controls without the presence of smooth pigweed. One smooth pigweed plant per square meter can reduce soybean yield, on average, by 4.32 to 5.09%, whereas the presence of 12 plants per square meter reduces soybean yield by 36.03 to 37.93%. The economic damage threshold of smooth pigweed in soybean occurs in the range of 0.35 to 0.93 plants per square meter. When the cost of control is lower, the economic damage threshold is achieved with smaller infestations of 0.36 plants per square meter. However, when the cost of control is high, the economic damage threshold becomes economically viable with larger infestations above 0.63 plants per square meter.
Growth and development of smooth pigweed (Amaranthus hybridus) emerged at different times of the year Serleni Geni Sossmeier, Mauro Antônio Rizzardi, Mateus Possebon Bortoluzzi Ciencia Rural, 2025 Successful chemical weed control requires applying the herbicide when the weed is still small. However, the rapid growth of Amaranthus species makes the time window between emergence and maximum controllable size shorter, making their management difficult. Little is known about the Amaranthus hybridus growth rate under the edaphoclimatic conditions of South America. Therefore, this study defined the daily growth of A. hybridus in different emergence times. Smooth pigweed plants were established in November 2020, December 2020, and January 2021. Plants were measured every two days, and the entire development cycle was monitored. A. hybridus plants that emerged in November had higher plant height, on average, 227 cm, and higher dry mass, around 909.5 g plant-1. Plants that emerged in January were shorter, reaching around 197 cm, and had a lower dry mass, that is, on average 296.5 g plant-1. However, plants that emerged in January had a higher daily growth rate. Flowering occurred between 30 and 56 days after sowing, with an accumulated thermal sum of 468 to 926 degree-days. The A. hybridus growth rates were 2.47, 2.5, and 2.98 cm day-1 for emergence in November, December, and January, respectively.
Potato late blight control based on the Blitecast forecast system on the Rio Grande do Sul Plateau, Brazil Gabriele Maito, Mateus Possebon Bortoluzzi, Samuel Zottis Dal Magro, Laura Valentina Caus Maldaner Ciencia Rural, 2025 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.
Models for estimating leaf area in sunflower Ivan Carlos Maldaner, Arno Bernardo Heldwein, Luis Henrique Loose, Dionéia Daiane Pitol Lucas, Fabrício Ivan Guse, et al. Ciencia Rural, 2009