This study developed a multiple linear regression model to estimate the Average rural prices (ARP) in Mexico with information taken from the period 1999-2018. The variables used to generate this model were the supply and demand as represented by planted area, yield, exports and the ARP of Agave Tequilero and Mezcalero. The analysis was carried out through the multiple linear regression model (MLRM) with the least squares method and using the statistical package R. The following variables were identified as having a significant influence on the determination of the ARP: the yield of Agave Mezcalero (YAM), the ARP of Agave Tequilero and the new planted area of Agave Tequilero (NPAATt-6) with an adjustment of 6 periods. Overall, three models were generated: model 2 was considered the most appropriate because it allows carrying out future forecasts with the new planted area with Agave Tequilero with 2 independent variables. YAM and NPAATt-6 were useful in predicting 65.5% of the annual variations in the ARP and helped recognize the negative trend of the Agave price from 2020 to 2024. Therefore, the use of the MLRM to estimate the Agave ARP can be a useful tool in predicting the performance of this crop.

There is little information about the production of agave plants in the nursery, so this research assessed the growth in the nursery of Agave angustifolia plants originating from inflorescence bulbils, subjected to different substrates, fertigation doses, and inoculation with Azospirillum brasilense. The bulbils were established for two months in a 50% peat-50% perlite substrate. One hundred and eighty plants were individually transferred to 3.8 dm3 pots for evaluation in an experiment with three factors: 1) type of irrigation: 1.1) water, or 1.2) fertigation with Steiner’s nutrient solution (NS), NS-50%, or 1.3) NS-100%; 2) inoculation with Azospirillum brasilense, 2.1) inoculated plants, 2.2) non-inoculated plants; 3) substrate, mixtures of bovine manure (BM) + sand (S) in different proportions, Mix1: 75% BM + 25% S; Mix2: 25% BM + 75% S; Mix3: 50% BM + 50% S. Morphological characteristics were quantified for one year. The largest plants were those that were in substrates with 50% BM, and were fertirrigated with NS-100% and inoculated with Azospirillum brasiliense. The smallest plants were those established a in a substrate with the lowest manure content, irrigated with only water and without inoculation, which was respectively 71.6 and 54.10 cm high, 21 and 15.6 leaves, 76.6 and 62.2 mm in stem diameter, 84.4 and 59.8 cm in rosette diameter.

The optimization of resources and time in the production of quality seedlings within a legal framework is of vital importance for greenhouse vegetable crops. This study evaluated the electrical conductivity of the nutrient solution and its effect on the survival and growth of bell pepper and tomato seedlings propagated by cuttings. The electrical conductivities evaluated were 0.92, 1.25, 1.50, and 1.75 dS m-1. The experiment was conducted using a randomized complete block design with four replicates. The number of rooted plants, stem diameter, root length, number of leaves, leaf area, dry weight of leaves, stem, root, and total were determined. In addition, the following indices were determined: stem root index, slenderness index, leaf area ratio, specific leaf area, and pre-transplant horticultural quality index. In both crops, the highest number of rooted cuttings was obtained with the lowest electrical conductivity. Meanwhile, the average electrical conductivity favored leaf number, leaf area, biomass, and seedling quality indices. These results showed that the production of bell pepper and tomato seedlings can be done by cuttings using Stenier nutrient solution at electrical conductivities of 1.25 to 1.50 dS m-1 without affecting seedling quality.