Jat H S, Choudhary Madhu, Datta Ashim, Yadav A K, Meena M D, Devi Ritu, Gathala M K, Jat M L, McDonald A, Sharma P C
ICAR-Central Soil Salinity Research Institute (CSSRI), Karnal, 132001, Haryana, India.
International Maize and Wheat Improvement Center (CIMMYT), New Delhi, 110012, India.
Soil Tillage Res. 2020 May;199:104595. doi: 10.1016/j.still.2020.104595.
Climate smart agriculture (CSA) practices are emerging as sustainable alternative to conventional rice-wheat system to pull up natural resources degradation across south Asia. After five years of continuous CSA based experiment, a two years study was conducted to evaluate changes in microbial biomasses (microbial biomass carbon and nitrogen), enzyme activities (alkaline phosphatase, dehydrogenase and -glucosidase), nutrient release and uptake (N, P and K) at different wheat crop growth stages. Effect of CSA practices was also studied for carbon mineralization in an incubation experiment. Four scenarios (Sc) were included in this study- conventional tillage (CT) based rice-wheat system (Sc1), partial CSA based rice-wheat-mungbean system (Sc2), full CSA based rice-wheat-mungbean system (Sc3), and full CSA based maize-wheat-mungbean system (Sc4). Soil samples were collected from scenarios at 0-15 and 15-30 cm depth at different growth stages of wheat crop namely sowing, crown root initiation (CRI), active tillering, panicle initiation, and harvesting. Analysis of soil was done for chemical properties . pH, electrical conductivity, available N, P, K, NPK uptake and mineralizable carbon and biological properties ., microbial biomass carbon (MBC), microbial biomass nitrogen (MBN), dehydrogenase activity (DHA), alkaline phosphatase activity (APA) and β-glucosidase. Significantly higher microbial biomass carbon (42 %) and nitrogen (79 %) were found in surface soil (0-15 cm depth) under CSA based scenarios (Sc2, Sc3 and Sc4) at harvest stage of wheat over CT based/ conventional scenario (Sc1). At surface soil, alkaline phosphatase, dehydrogenase and -glucosidase activity was 58, 14 and 13 % higher in CSA based scenarios, respectively than CT based scenario. CSA based scenarios showed significantly higher C mineralization after 3 days of the incubation experiment at harvest. An increase of respectively 15, 48 and 17 % of N, P and K uptake was observed with CSA based scenarios than CT based scenario. At harvest stage, 7 % higher amount of dry matter was reported with full CSA based scenarios (mean of Sc2 to Sc4) compared to Sc1. Higher wheat grain yield of ∼10 % was recorded with CSA based scenarios over CT based scenario. Therefore, CSA based scenarios with improved biological properties and nutrient availability and uptake at different wheat growth stages resulted in higher yields and hence need to be popularized among the farmers.
气候智能型农业(CSA)实践正作为传统稻麦系统的可持续替代方案出现,以遏制南亚地区自然资源退化。在基于CSA进行了五年的连续试验后,开展了一项为期两年的研究,以评估不同小麦作物生长阶段微生物生物量(微生物量碳和氮)、酶活性(碱性磷酸酶、脱氢酶和β-葡萄糖苷酶)、养分释放和吸收(氮、磷和钾)的变化。还在一项培养试验中研究了CSA实践对碳矿化的影响。本研究纳入了四种情景(Sc)——基于传统耕作(CT)的稻麦系统(Sc1)、基于部分CSA的稻麦-绿豆系统(Sc2)、基于完全CSA的稻麦-绿豆系统(Sc3)以及基于完全CSA的玉米-小麦-绿豆系统(Sc4)。在小麦作物的不同生长阶段,即播种期、冠根起始期(CRI)、有效分蘖期、幼穗分化期和收获期,从0-15厘米和15-30厘米深度的情景中采集土壤样本。对土壤进行了化学性质分析(pH值、电导率、速效氮、磷、钾、氮磷钾吸收量和可矿化碳)和生物学性质分析(微生物量碳(MBC)、微生物量氮(MBN)、脱氢酶活性(DHA)、碱性磷酸酶活性(APA)和β-葡萄糖苷酶)。在小麦收获期,基于CSA的情景(Sc2、Sc3和Sc4)下,表层土壤(0-15厘米深度)中的微生物量碳(42%)和氮(79%)显著高于基于CT的/传统情景(Sc1)。在表层土壤中,基于CSA的情景下碱性磷酸酶、脱氢酶和β-葡萄糖苷酶的活性分别比基于CT的情景高58%、14%和13%。在收获期进行的培养试验3天后,基于CSA的情景显示出显著更高的碳矿化。与基于CT的情景相比,基于CSA的情景下氮、磷和钾的吸收分别增加了15%、48%和17%。在收获期,与Sc1相比,基于完全CSA的情景(Sc2至Sc4的平均值)报告的干物质含量高7%。与基于CT的情景相比,基于CSA的情景下小麦籽粒产量高出约10%。因此,基于CSA的情景在不同小麦生长阶段具有改善的生物学性质和养分有效性及吸收,从而带来了更高的产量,因此需要在农民中推广。