Munda Sushmita, Nayak A K, Shahid M, Bhaduri Debarati, Chatterjee Dibyendu, Mohanty Sangita, Tripathi Rahul, Kumar Upendra, Kumar Anjani, Khanam Rubina, Jambhulkar Nitiprasad
Crop Production Division, ICAR-National Rice Research Institute, Cuttack, 753006, India.
Social Science Division, ICAR- National Rice Research Institute, Cuttack, 753 006, India.
Heliyon. 2023 Jun 30;9(7):e17835. doi: 10.1016/j.heliyon.2023.e17835. eCollection 2023 Jul.
The role of biochar in improving the soil properties of problem soils is well known, but its long term impact on lowland rice soil is not well recognized. The soil quality indicators of biochar applied lowland rice soil are not widely reported. We developed soil quality index (SQI) of a biochar applied lowland rice soil based on 17 soil properties (indicators). Field experimentation consisted of six treatments such as 0.5, 1, 2, 4, 8 and 10 t ha of rice husk derived biochar (RHB) along with control. An overall SQI was calculated encompassing the indicators using multivariate statistics (principal component analysis) and non-linear scoring functions after generation of minimum data set (MDS). Sequential application of RHB improved the SQI by 4.85% and 16.02% with application of 0.5 t ha and 10 t ha RHB, respectively, over the recommended dose of fertilizer (control). PCA-screening revealed that total organic carbon (C), zinc (Zn), pH and bulk density (BD) were the main soil quality indicators for MDS with 27.79%, 26.61%, 23.67% and 14.47% contributions, respectively. Apart from C, Zn is one of the major contributors to SQI and RHB application can potentially be an effective agronomic practice to improve Zn status in lowland rice soil. The overall SQI was significantly influenced by RHB application even at 0.5 t ha. The present study highlights that application of RHB improves the soil quality even in fertile, well managed, lowland rice soil.
生物炭在改善问题土壤的土壤性质方面的作用是众所周知的，但其对低地水稻土的长期影响尚未得到充分认识。关于施用生物炭的低地水稻土的土壤质量指标的报道并不广泛。我们基于17种土壤性质（指标）制定了施用生物炭的低地水稻土的土壤质量指数（SQI）。田间试验包括六种处理，如0.5、1、2、4、8和10 t·ha的稻壳衍生生物炭（RHB）以及对照。在生成最小数据集（MDS）后，使用多元统计（主成分分析）和非线性评分函数计算了包含这些指标的总体SQI。与推荐施肥量（对照）相比，依次施用RHB，在施用0.5 t·ha和10 t·ha RHB时，SQI分别提高了4.85%和16.02%。主成分分析筛选表明，总有机碳（C）、锌（Zn）、pH值和容重（BD）是MDS的主要土壤质量指标，贡献率分别为27.79%、26.61%、23.67%和
