We categorized chickpea nodules based on their size (mm) [large (> 7), medium (2–7), small (< 2)] and position on roots (primary or lateral) to derive relations between nodule categories and plant growth attributes. Large-sized nodules (LSN) were mostly developed on primary roots (83%), where medium-sized nodules (MSN) were observed both on primary and lateral roots, and small-sized nodules (SSN) were mostly found on lateral roots. Plant growth attributes had strong positive correlations with LSN number, but not with MSN and SSN number. Leaf, stem, root, and total plant biomass had positive associations with LSN weight (particularly LSN on primary roots), but not with MSN and SSN weights. Multivariate regression analysis also revealed the same. This nodule fractionation technique could be used to characterize chickpea nodules and to quantify the contribution of nodules towards plant growth. This criterion may be used for screening and identifying efficient nodulating chickpea genotype(s).

我们根据鹰嘴豆结节的大小（mm）[大（> 7），中等（2–7），小（<2）]和在根部（主要或侧生）的位置进行分类，以得出结节类别与植物生长属性之间的关系。大根瘤（LSN）主要在原根上发育（83％），在原根和侧根上均观察到中型根瘤（MSN），而小根瘤（SSN）主要在侧根上发现。植物生长属性与LSN数呈强正相关，但与MSN和SSN数无正相关。叶，茎，根和植物总生物量与LSN重量（尤其是初生根上的LSN）呈正相关，但与MSN和SSN重量无正相关。多元回归分析也显示出相同的结果。这种结节分级分离技术可用于表征鹰嘴豆结节并量化结节对植物生长的贡献。该标准可用于筛选和鉴定有效的结节性鹰嘴豆基因型。