为了探讨冬小麦(Triticum aestivum)主要部分农艺性状、生理性状、生物量分配和叶片养分性状等与产量间的关系,采用灰色关联分析(gray correlation analysis)对种植于大田自然降水条件下的42个冬小麦品种(系)的各性状与其产量关联度进行分析和评价.通过灰色关联度分析确定了各性状与产量的关联系数和关联度.各生理、生物量和农艺性状与产量的关联程度大小依次为:NA、NU、PU、KU、KA、PA、Chl、Gs、Pn、Tr、AB、UB、TB、Ci、SL、SN和TW.并将关联度大于0.700的性状对参试品种(系)进行了聚类分析,聚类结果可以较好的反映品种(系)的选育及适应地区.与产量关联度最大的是和叶片养分相关的生理性状,它们对作物产量形成产生的影响最大.因而可以作N、P、K积累量及吸收效率等生理性状为基础的选择,以提高合理施肥条件下保证高产选择效率.%To study the relationship between agronomic traits, physiology traits, biomass traits, leaf nutrient and yield in different wheat cul-tivars, 17 traits, including leaf nutrient trait, physiological character and agronomical traits of 42 wheat cultivars that grew at no -irrigation conditions, were analyzed using grey relational grade analysis method. The congelation coefficient and correlation degree of every trail and the yield were determined by grey correlation analysis . They were calculated between each trait and yield and were ranked according to their grey correlation degree as follows: NA,NU,PU,KU,KA,PA,Chl,Gs,Pn,Tr,AB,UB,TB,Ci,SL,SN and TW. And the cluster baaed on each trait above 0.7 could well represent their bred and applied areas. It was concluded that the leaf nutrient had the closest relationship with yield and this trait significantly influenced the yield. Based on these, physiological traits,including in the N, P, K accumulation and absorption efficiency should be taken as the foundation to improve the conditions of rational fertilization to ensure the high yield.
展开▼
