Abstract：
Soil fertility (SF) is a crucial factor that directly impacts the performance and quality of crop production. To investigate the SF status in agricultural lands of winter wheat in Khuzestan province, 811 samples were collected from the soil surface (0-25 cm). Eleven soil properties, i.e., electrical conductivity (EC), soil organic carbon (SOC), total nitrogen (TN), calcium carbonate equivalent (CCE), available phosphorus (Pav), exchangeable potassium (Kex), iron (Fe), copper (Cu), zinc (Zn), manganese (Mn), and soil pH, were measured in the samples. The Nutrient Index Value (NIV) was calculated based on wheat nutritional requirements. The results indicated that 100%, 93%, and 74% of the study areas for CCE, pH, and EC fell into the low, moderate, and moderate to high NIV classes, respectively. Also, 25% of the area is classified as low fertility (NIV < 1.67), 75% falls under medium fertility (1.67 < NIV value < 2.33), and none in high fertility (NIV value > 2.33). Assessment of the mean wheat yield (AWY) and its comparison with NIV showed that the highest yield was in the Ramhormoz region (5200 kg.ha-1), while the lowest yield was in the Hendijan region (3000 kg.ha-1) with the lowest EC rate in the study area. Elevated levels of salinity and CCE in soils had the most negative impact on irrigated WY, while Pav, TN, and Mn availability showed significant effects on crop production. Therefore, implementing SF management practices is essential for both quantitative and qualitative improvement in irrigated wheat production in Khuzestan province.
摘要：
土壤肥力（SF）是直接影响作物生产性能和质量的关键因素。调查胡泽斯坦省冬小麦农田的SF状况，从土壤表面(0-25cm)收集811个样品。11种土壤性质，即，电导率(EC)，土壤有机碳(SOC)，总氮(TN)，碳酸钙当量（CCE），有效磷（Pav），可交换钾（Kex），铁(Fe),铜(Cu),锌(Zn),锰(Mn),土壤pH值,在样品中测量。基于小麦营养需求计算营养指数值(NIV)。结果表明,100%,93%,和74%的CCE研究领域，pH值,欧共体跌至低点，中度,和中等到较高的NIV等级，分别。此外，25%的地区被归类为低生育率(NIV<1.67)，75%属于中等生育率(1.672.33)。对小麦平均产量（AWY）的评估及其与NIV的比较表明，最高产量在Ramhormoz地区（5200kg。ha-1),而产量最低的是亨迪扬地区(3000公斤。ha-1)，研究区域EC率最低。土壤中盐度和CCE水平的升高对灌溉WY的负面影响最大，而Pav,TN,锰的利用率对作物产量有显著影响。因此,实施SF管理实践对于胡泽斯坦省灌溉小麦生产的定量和定性改善至关重要。
