Pollen from four date palm cultivars (Medjool, Zahidi, Khadrawy, and Deglet Noor) was selected to study the effect of pollenizers on Medjool female production and fruit characteristics. The study was conducted during the 2016 season in San Luis Rio Colorado, Mexico. Three bunches of each of the four selected female palms were pollinized by each source of pollen. Results were statistically analyzed using the ANOVA test. Set percentage and fruit characteristics showed a significant effect depending on the selected pollenizer. Bunches pollinized with the Zahidi cultivar had the highest fruit set percentage at 50.30%, while bunches pollinized with the Khadrawy cultivar had the lowest set percentage at 13.25%. However, bunches pollinized with Khadrawy had the highest total weight (25.73 g), the highest weight of pulp (23.98 g), and the highest length (5.33 cm). The lowest weight of fruit (21.73 g), lowest pulp (20.39 g), and lowest fruit length (4.97 cm) was obtained from bunches pollinized with the Zahidi cultivar. The highest total yield was obtained with Zahidi pollen at 64.55 kg, while the lowest total yield, 41.79 kg, was obtained with Deglet Noor pollen. Total soluble solids, bunch weight, and seed diameter did not show significant variation. The best pollenizers for the Medjool cultivar in terms of fruit set and quality characteristics are the Zahidi and Khadrawy varieties. This study allowed for the identification of fruit characteristics according to the pollenizer used. These results can be used to strategically reach high yields in Medjool date cultivar.

The Date palm (Phoenix dactilifera L.) was introduced to Mexico during the Spanish colonization, but its commercial production did not develop until the second half of the past century. A literature and field research, including a trip to the oases missions and main commercial production areas, allowed us to identify the actual status for this crop in Mexico. While the date culture in the old oases is fading, in the commercial production zones it is in active development. San Luis Rio Colorado and Mexicali Valley region, comprise 97% of the commercial crop production area of the country. The main cultivar is Medjool with 94% of the growing area; actual yields are around 7.9 ton/ha. Ongoing government support and motivated growers training will lead to the application of better crop practices. It is expected to increase yields around 10 ton/ha in the next 5 years. Commercial date production is focused on exports, the internal market is growing, as well as the transformation of the product. Knowledge of the actual trends of the crop will allow to understand their historic importance and its future potential as a commodity and food. Production practices, competitive advantages and research results are presented.

The objective of the present work was to investigate the influence of pollen sources over chemical characteristics of the Medjool date cultivar. The study was conducted under conditions of the Northwest part of Mexico, during the year 2016 cultivation season. The content of nutrients (protein, lipids, fiber and ash), sugars (total, reducing, non-reducing, sucrose, glucose and fructose), and most abundant minerals were evaluated. Three bunches of each of the four selected female palms Medjool cultivar were pollinated with Deglet Noor, Khadrawy, Medjool and Zahidi cultivars, and their fruit were used for the analyses. Results show low concentrations of lipids and ash (0.68-0.80% and 2.49-2.82%, g/100 g dry weight basis), while protein and crude fiber were in the range of 2.92-3.35% and 6.86-7.29%, respectively. In addition, a high content of total sugars (77.78-70.04%) were found. The predominant mineral was potassium with a range of 794.30 (Khadrawy)-869.93 mg/100 g dry weight basis (Deglet Noor), followed by magnesium with 136.72 (Medjool)-150.10 mg/100 g dry weight basis (Khadrawy). An analysis of total phenols revealed that the Khadrawy cultivar had the highest content, with 5.30 (mg GAE/100 g) and the lowest was for Zahidi with 3.82 (mg GAE/100 g). The Khadrawy cultivar had the highest effects on the chemical parameters of the four evaluated treatments. Therefore, pollen source has a significant effect on the chemical properties of the fruit from the Medjool cultivar.

Date palm pollen (DPP) plays a very important role in the fertilization process, since its viability and the pollination method influence on the quality, development, and yield of the fruit. In the present study, a broad review of its main characteristics, consumption, and DPP production are presented, as well as a description of its extraction methods and viability tests. The evolution of the pollination methods used in the date palm is also presented, from its natural pollination to the use of specialized mechanical and electrical devices, as well as the use of dry DPP and the current trend towards the use of DPP in liquid suspension. Likewise, the efficiency of the methods of natural pollination (wind); traditional (strands placement); dusting hand; dusting with manual, mechanical, or electric pollinator; and liquid pollination were evaluated from the fruit set percentage (FSP). Finally, starting from a scientometric analysis, the pollination methods were widely discussed, concluding that the dusting spraying of pollen suspension with liquid DPP is the pollination method that commonly presents the highest FSP, followed by dusting dry DPP with a motorized pollinator.

Convolutional neural networks (CNNs) have proven their efficiency in various applications in agriculture. In crops such as date, they have been mainly used in the identification and sorting of ripe fruits. The aim of this study was the performance evaluation of eight different CNNs, considering transfer learning for their training, as well as five hyperparameters. The CNN architectures evaluated were VGG-16, VGG-19, ResNet-50, ResNet-101, ResNet-152, AlexNet, Inception V3, and CNN from scratch. Likewise, the hyperparameters analyzed were the number of layers, the number of epochs, the batch size, optimizer, and learning rate. The accuracy and processing time were considered to determine the performance of CNN architectures, in the classification of mature dates’ cultivar Medjool. The model obtained from VGG-19 architecture with a batch of 128 and Adam optimizer with a learning rate of 0.01 presented the best performance with an accuracy of 99.32%. We concluded that the VGG-19 model can be used to build computer vision systems that help producers improve their sorting process to detect the Tamar stage of a Medjool date.