油棕耐寒性关键评价指标筛选与体系构建OA

This study selected 18 oil palm germplasm resources and initially classified them into three types based on their cold damage performance under natural low-temperature conditions in the field:strong cold-tolerant type(DA),medium cold-tolerant type(BA,BE,CN,DN,DG,TE),and weak cold-tolerant type(OG,DP).On this basis,representative materials from each category were subjected to an artificial low-temperature stress experiment at 8℃,and seven physiological indica-tors of seedling leaves were measured,including relative electrical conductivity(REC),malondialdehyde(MDA)content,soluble sugar(SS)content,soluble protein(SP)content,and the activities of superoxide dismutase(SOD),peroxidase(POD),and catalase(CAT).Multiple statistical methods,including principal component analysis,the membership function method,correlation analysis,and stepwise regression,were employed to comprehensively evaluate the cold tolerance of the germplasm and screen for key indicators.The results showed that principal component analysis integrated the seven individual indicators into three mutually independent comprehensive indicators.Stepwise regression further identified four core indicators—relative electrical conductivity,soluble sugar,malondialdehyde,and catalase activity—which can serve as key physiological parame-ters for the rapid identification of oil palm cold tolerance.The comprehensive cold tolerance evaluation results were highly consistent with field cold damage phenotypes,with DA exhibiting the strongest cold tolerance and DP exhibiting the weakest.This study preliminarily established a cold tolerance evaluation system for oil palm based on key physiological indicators,providing a reliable methodological foundation for the systematic screening and scientific identification of cold-tolerant oil palm germplasm resources.