Dataset for: Genetic gains in yield and quality traits of Iranian sugar beet cultivars over four decades

1. General OverviewThis dataset contains the raw, plot-level data from the field trials conducted for the manuscript titled "Genetic gains in yield and quality traits of Iranian sugar beet cultivars over four decades". The study aimed to quantify the genetic progress in key agronomic and quality traits by evaluating 15 historically significant Iranian sugar beet cultivars, with release dates spanning from 1983 to 2023.2. MethodologyThe data were generated from field experiments conducted over two consecutive years (e.g., 2022 and 2023). All 15 cultivars were cultivated side-by-side under the same uniform, modern agronomic conditions to isolate genetic effects from long-term changes in management or environment. The experimental design was a randomized complete block design (RCBD) with four replications. The dataset includes measurements for root yield, sugar content, and key root quality impurities (Na⁺, K⁺, and alpha-amino N).1. 总体概述 本数据集包含题为《近四十年来伊朗甜菜品种产量与品质性状的遗传增益》的学术论文所依托的田间试验原始小区级数据。本研究通过评估15个具有历史代表性的伊朗甜菜品种（推广时间跨度为1983年至2023年），旨在量化关键农艺性状与品质性状的遗传进展。 2. 研究方法 本数据集的数据来源于连续两年（例如2022年与2023年）开展的田间试验。所有15个品种均在统一的现代化农艺管理条件下相邻种植，以剥离管理措施或环境长期变化带来的干扰，精准分离遗传效应。试验设计采用四次重复的完全随机区组设计（randomized complete block design, RCBD）。本数据集包含根产量、含糖率以及关键根部品质杂质（钠离子Na⁺、钾离子K⁺与α-氨基氮）的测定数据。