Pecans, known for their rich flavor and nutritional value, are a popular tree nut crop cultivated widely in the USA. The quality and yield of pecans are important factors for pecan farmers and growers, impacting both economic returns and consumer satisfaction. This research investigates the relationship between pecan size, weight, and quality, as well as the yield efficiency of three pecan trees located on Fort valley State University campus. The trees are not managed agriculturally and thus could be considered as wild pecan trees. Around the beginning of December 2024, we collected a total of 300 pecans, 100 from each tree, that were fallen naturally from the trees on the ground without shaking trees. Only intact pecans with no visible cracks were selected. Measurements of pecan length, diameter (using a caliper with 0.1 mm accuracy), and weight (using a scale with 0.1 g accuracy) were recorded. Each pecan was then cracked open to categorize its shelled quality as good (light brownish color and firm texture), blank, or bad (highly dried, mushy, or dark). Data were compiled in Excel for analysis. Both simple and multiple linear regression models were developed to explore relationships between pecan size (length and diameter) and weight. Statistical metrics, including minimum, maximum, average, standard deviation, and sample distribution, were calculated to characterize the yield of each tree. Yield efficiency was determined based on the percentage of good pecans produced by each tree. The initial analysis reveals that the average length, diameter, and weight of the pecans are 40.7 mm, 21.9 mm, and 7.6 grams, respectively. Correlation analysis showed relatively good relationships exist between length and weight (r = 0.54) and diameter and weight (r = 0.55). Simple linear regression showed linear trends between these variables. Furthermore, multiple linear regression using length and diameter as independent variables and weight as the dependent variable provided a better fit compared to simple linear regression models. The findings will provide valuable insights into tree management practices such as pruning, fertilizing, and pesticide application to enhance the quality and yield of pecan trees. This research highlights the importance of data-driven approaches in optimizing agricultural productivity.

Co-authors: Tyanna Bastine, Faith Mcnair, Fort Valley State University