The state of Puebla is the main producer of cabbage (Brassica oleracea var. capitata) in Mexico, with an area of approximately 1,858 ha (SIAP 2023). In April 2023, a field sampling was conducted in the San Luis Ajajalpan, Tecali de Herrera (18°55.57'N, 97°55.607'W), Puebla, Mexico. The average temperature was 24°C and the relative humidity was 95% for five consecutive days. Cabbage plants cv. 'American Taki San Juan' close to harvest, with head rot symptoms were found in a commercial area of approximately 3 ha, at an estimated incidence of 35 to 45%. More than 70% of the leaves were symptomatic on severely affected plants. Typical symptoms included chlorosis of older foliage, soft rot with abundant white to gray mycelium, and abundant production of large and irregularly-shaped sclerotia. The fungus was isolated from 30 symptomatic plants. Sclerotia were collected from symptomatic heads, surface sterilized in 3% NaOCl, rinsed twice with sterile distilled water, and plated on Potato Dextrose Agar (PDA) with sterile forceps. Subsequently, a dissecting needle was used to place fragments of mycelium directly on PDA. Plates were placed in an incubator at 25°C in the dark. A total of 30 representative isolates were obtained by the hyphal-tip method, one from each diseased plant (15 isolates from sclerotia and 15 from mycelial fragments). After 8 days, colonies had fast-growing, dense, cottony-white aerial mycelium forming irregular sclerotia of 3.75 ± 0.8 mm (mean ± standard deviation, n=100). Each Petri dish produced 14-25 sclerotia (mean = 18, n = 50), after 10 days. The sclerotia were initially white and gradually turned black. The isolates were identified as Sclerotinia sclerotiorum based on morphological characteristics (Saharan and Mehta 2008). Two representative isolates were chosen for molecular identification, and genomic DNA was extracted by a CTAB protocol. The ITS region and the glyceraldehyde 3-phosphate dehydrogenase (G3PDH) gene were sequenced for two isolates (White et al. 1990; Staats et al. 2005). The ITS and G3PDH sequences of a representative isolate (SsC.1) were deposited in the GenBank (ITS- OR286628; G3PDH- OR333495). BLAST analysis of the partial sequences ITS (509 bp) and G3PDH (915 bp) showed 100% similarity to S. sclerotiorum isolates (GenBank: MT436756.1 and OQ790148). Pathogenicity was confirmed by inoculating 10 detached cabbage heads of 'American Taki San Juan', using the SsC.1 isolate, according to Sanogo et al. (2015). Heads were placed on the rim of a plastic container and inserted in a moisture box with 2 cm of water on its bottom. The box was covered with a plastic sheet to maintain humidity. The control plants were inoculated with a plug of noncolonized PDA. The inoculated cabbages were covered with white to gray mycelia and abundant sclerotia within 10 days, whereas no symptoms were observed on non-inoculated controls. The fungus was re-isolated from the inoculated cabbages as described above, fulfilling Koch's postulates. The pathogenicity tests were repeated three times. White mold caused by S. sclerotiorum on Brussels sprouts was recently reported in Mexico (Ayvar-Serna et al. 2023). In 2015, S. sclerotiorum was reported on cabbage in New Mexico, causing head rot (Sanogo et al. 2015). To our knowledge, this is the first report of S. sclerotiorum causing white mold on cabbage in Mexico. This research is essential for designing management strategies and preventing spread to other production areas.

Pachyrhizus erosus, commonly named jicama, is native to Mexico and is cultivated for its tuberous roots which are edible. In November 2021, field sampling was carried out in municipality of Huaquec...

The integration of artificial intelligence techniques introduces fresh perspectives in the implementation of these methods. This paper presents the combination of neural networks and evolutionary strategies to create what is known as evolutionary artificial neural networks (EANNs). In the process, the excitation function of neurons was modified to allow asexual reproduction. As a result, neurons evolved and developed significantly. The technique of a batch polymerization reactor temperature controller to produce polymethylmethacrylate (PMMA) by free radicals was compared with two different controls, such as PID and GMC, demonstrating that artificial intelligence-based controllers can be applied. These controllers provide better results than conventional controllers without creating transfer functions to the control process represented. La integración de técnicas de inteligencia artificial introduce nuevas perspectivas en la aplicación de estos métodos. Este trabajo presenta la combinación de redes neuronales y estrategias evolutivas para crear lo que se conoce como redes neuronales artificiales evolutivas (RNAE). Durante el proceso, se modificó la función de excitación de las neuronas para permitir su reproducción asexual. Como resultado, las neuronas evolucionaron y se desarrollaron significativamente. La técnica del controlador de temperatura de un reactor de polimerización por lotes para producir polimetilmetacrilato (PMMA) mediante radicales libres se comparó con dos controles diferentes (PID y GMC), demostrando así la aplicabilidad de los controladores basados en inteligencia artificial. Estos controladores ofrecen mejores resultados que los controladores convencionales sin crear funciones de transferencia al proceso de control representado.

The agave crop (Agave angustifolia), is of economic importance for Mexico, for the agave is made mainly an alcoholic beverage called locally mezcal. In the state of Guerrero, in the municipality of Huitzuco de los Figueroa (18.2510026N, 99.2320182W, 1196 m above sea level), a severe disease affecting agave leaves was detected. The field symptoms consisted of pale to brown dark descending lesions, covering >50% of the leaf surface, in which the presence of pycnidia was observed. In an estimated area of 0.5 ha, the estimated incidence was 67% (n=100 plants). Symptomatic fragments from leaves (approximately 0.5 cm) were taken, superficially disinfected with 1% NaClO, and rinsed twice with sterile distilled water. Then they were transferred to potato dextrose agar (PDA) medium, and incubated at 28 °C. After five days, twelve representative isolates were selected and purified by the hyphal tip technique. In the PDA medium, the colonies were initially light gray, later they became dark, and after 22 days of incubation, the development of numerous dark pycnidia was observed on the surface of the medium. Initially, immature hyaline conidia, unicellular, oval, and double-walled were observed. The mature conidia were dark brown, oval, with one septum and longitudinal striation, and measured 17.5 to 27 [average 25.3 µm; n=50] × 10.5 to 15.7 [average 13.9 µm; n=50]. Based on the morphological characteristics, the fungus was identified as Lasiodiplodia theobromae (Pat.) Griffon & Maubl. (Alves et al. 2008). Isolates LAS3 and LAS4 were used for molecular identification, this was done by amplifying the regio internal transcribed spacer (ITS) of rDNA with primers ITS1 and ITS4 (White et al. 1990) and translation elongation factor 1-alpha ( EF-1α) genes using primers EF1-728F/EF1-986R (Carbone and Kohn 1999). The resulting sequences were deposited in GenBank (LAS3; ON391564 and LAS4; ON391565 for ITS, and LAS3; ON368190 and LAS4; ON368191 for EF-1α). BLASTn analysis sequences of isolated LAS3 and LAS4 revealed for ITS 98.6% identity with L. theobromae (MK934699.1), and for EF-1α indicated 100% identity (MF422024.1). From concatenated sequences ITS-EF-1α regions, a phylogenetic analysis was carried out in MEGA X software, using the Maximum Likelihood and Kimura 2-parameter model with 1,000 bootstraps replicated; isolates LAS3 and LAS4 were clustered in the clade of the members of L. theobromae strains CAA006 (Alves et al. 2006), and INTA-IMC 1601 (Perez et al. 2018). The pathogenicity tests were carried out on 10 healthy 3 year-old agave plants, in which the mycelium of the LAS4 isolate was inserted at three equidistant points/leaf, using a sterile toothpick. Five healthy agave plants were inoculated only with sterile PDA as control treatment. The inoculated plants were covered with transparent plastic bags and housed in a greenhouse at 28 °C. After seven days, similar symptoms to those observed in the field were observed in all inoculated plants. Control plants did not develop symptoms. The fungus L. theobromae was re-isolated again from the infected leaves, fulfilling Koch's postulates. In China, L. theobromae has been reported as the cause of leaf rot on A. sisalana (Xie et al. 2016). To our knowledge, this is the first report of L. theobromae causing leaf rot on A. angustifolia in Mexico. This research is useful to design management strategies for leaf rot disease for local farmers of A. angustifolia.

Sugarcane (Saccharum spp.) is a crop of significant industrial and nutritional value, essential for producing various products. Due to its importance, genetic improvement programs involve a rigorous selection process. In this study, growth curve models were used to analyze the maturity curves of 33 hybrids (currently in the adaptability testing phase) and 6 control varieties (MEX 69-290, ITV 92-1424, CP 72-2086, COLMEX 94-8, COLMEX 95-27, RB 85-5113) during both plant and ratoon periods at the Melchor Ocampo Sugar Mill fields in Jalisco, México. With the use of clustering techniques, the materials were classified into four maturity groups: early, early–intermediate, intermediate–late, and late. Hybrids with a larger intercept and smaller slope were classified as having early and early–intermediate maturity. Conversely, hybrids with a smaller intercept and larger slope were classified as having intermediate–late and late maturity. According to the Connectivity and Dunn indexes, the DBSCAN algorithm provides the best clustering structure for materials in the plant cycle, while for the ratoon cycle, the k-means algorithm offers the best clustering structure. This highlights the versatility of each algorithm in the context of hybrid and varietal maturity analysis. These results are crucial for optimizing the productivity and sustainability of the crop, with significant implications for the sugar industry.