The Physalis peruviana L. presents great nutritional value and economic viability, becoming an alternative for the small and medium producer and an innovation for the Brazilian horticulture. However, some information on cultivation, are still scarce. In this context, our objective is to characterizing the phenological phases and productivity of the Physalis peruviana cultivated in a greenhouse in the semiárido paraibano. This work was done in the experimental farm of the Federal University of Campina Grande, campus Pombal, Paraíba. The experiment was driven in a randomized blocks design, with five repetitions, each repetition constituted of five plants. The phenological phases were determined through the height, diameter of the stem, number of leaves, floral buttons, flowers and fruits per plant, production and productivity. The data were submitted to the variance analysis and polynomial regression. The vegetative phase of the Physalis peruviana L. is concluded in a period understood among 32 to 45 days after the transplant (DAT) and the reproductive phase extends until 161 DAT. In the conditions of the semiarid, the crop of the fruits of the Physalis peruviana L. begins to 71 DAT, with a dear productivity of approximately 2 340.95 kg ha-1.

The adoption of quick and reliable laboratory techniques and equipment to choose the best seed lots for marketing will influence the production of soybeans with superior physiological quality, among other areas in the sector. Therefore, the objective of this study was to evaluate the CO2 concentrations produced by water-soaked soybean seeds and to verify the effectiveness of new equipment to help choose lots with different vigor levels. To evaluate the physical and physiological quality of the seeds, eight soybean lots were evaluated with the following tests: water content, weight of thousand seeds, first germination count, germination, electrical conductivity, emergence, and respiration evaluated by the Pettenkoffer apparatus and with equipment designed to measure CO2 in seeds. The results were subjected to analysis of variance with means compared by Tukey’s test at p ≤ 0.05. Conventional methods showed significant differences in vigor and viability in soybean seeds. The equipment designed was efficient in detecting CO2 produced by seeds soaked in water for 8 hours. The CO2 readings with the equipment presented satisfactory results to predict the vigor in soybean seeds through respiration.

ABSTRACT This study aimed at assessing the quality of the physiology and health of the coriander seeds processed in a gravity table. This was investigated at two settings namely, I with angle X 3.5° and angle Y 3.1° and II with 3.9° and 2.7° angles, with five gravity table discharges (high, high intermediate, intermediate, low intermediate and low) besides feeding. The experiment adopted the 2x6 factorial scheme, in a completely randomized design, with four replications. Two coriander seed batches of cultivar Verdão were used. The gravity table was adjusted to have 2.9 m s-1 air speed on the platform. The seed fractions discharged in the lower portion of the gravity table revealed poorer physiological performance than that of the others. Regulation I (angle X 3.5° and Y 3.1°) was sufficient for the coriander seeds to be processed in batch 1 and regulation II (angle X 3.9° Y and 2.7°), was adequate for batch 2. The processing of batch 1 in regulation II was effective in separating seeds of higher sanitary quality by rejecting the contaminated ones.

The determination of the sanitary quality is important to diagnose if the commercialized lots are free of pathogens and to make a decision about the need for seed treatment. The objective was to evaluate the interference of fungi associated with coriander seed lots in their physiological performance and the effect of seed treatment with the fungicide Metalaxyl-m + Fludioxonil. The study was carried out in two steps. In experiment I, the physiological potential and sanitary characterization of 18 coriander seed lots were evaluated, using the tests, water content, tetrazolium test and health test. In experiment II, we evaluated the physiological performance of coriander seeds with and without fungicide treatment using the first count and germination test. Coriander seed lots showed high physiological potential, however, not all lots expressed their maximum potential in the germination test without treatment, due to the negative effect of fungi associated with seeds, mainly A. dauci and in association with A. alternata. There was an improvement in the physiological performance of coriander seeds treated with Metalaxyl-m + Fludioxonil fungicide.

The seed sector faces several challenges when it comes to ensuring a quick and accurate decision making when working with large amounts of data on physiological quality of seed lots, which makes the process time-consuming and inefficient. Thus, artificial intelligence (AI) emerges as a new technological option in the seed sector to solve database problems in the post-harvest stages. This study aims to use machine learning to classify maize seed lots. Data were obtained from eight maize seed crops from a private company. These data were mined using the following classifiers: J48 (DecisionTree), RandomForest, CVR (ClassificationViaRegression), lBk (lazy.IBK), MLP (MultiLayerPercepton), and NäiveBayes. Cross-validation was used for data measurement, with the data set, including training and testing data, being divided into 10 subsets. The described steps were performed using the Weka software. It is concluded that results obtained allow the classification of maize seed lots with high accuracy and precision, and these algorithms can better classify the maize seed lot through vigor attributes, thus enabling more accurate decision making based on vigor tests on a reduced evaluation time.