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Verma G, Dhaka AK, Singh B, Kumar A, Choudhary AK, Kumar A, Kamboj NK, Hasanain M, Singh S, Bhupenchandra I, Shabnam, Sanwal P, Kumar S. Productivity, soil health, and carbon management index of soybean-wheat cropping system under double zero-tillage and natural-farming based organic nutrient management in north-Indian plains. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170418. [PMID: 38286294 DOI: 10.1016/j.scitotenv.2024.170418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/02/2024] [Accepted: 01/22/2024] [Indexed: 01/31/2024]
Abstract
Conservation-agriculture and organic-farming are two sustainable-agriculture approaches to ensure food security and environmental-sustainability. Hence, a field study assessed the productivity, soil-health and carbon-dynamics of soybean-wheat cropping system (SWCS) under four tillage and residue-management practices (TRMPs) viz., Conventional-tillage without residues (CT-R), conventional-tillage with residue-retention in both crops at 3 t ha-1 each (CT + R), zero-tillage without residues (ZT-R), and zero-tillage with residue-retention in both crops at 3 t ha-1 each (ZT + R); and five organic-nutrient-management-practices (ONMPs) in both crops viz., 100 % RDF (N1), 100 % RDN through FYM (N2), 100 % RDN through VC (N3), 100 % RDN through FYM + Biofertilizers + Cow-urine + Panchgavya + Jeevamrut (N4), and 100 % RDN through VC + Biofertilizers + Cow-urine + Panchgavya + Jeevamrut (N5), in split-plot-design replicated-thrice. Among TRMPs, ZT + R enhanced system-productivity (SEY) by ∼17.2 % over CT-R, besides improved soil available-N, P, K by 6.4, 6.5 and 6.5 %, respectively. SMBC, SMBN and SMBP were higher under ZT + R by 16.2, 21.5 and 10.8 % over CT-R, respectively. ZT + R had higher soil enzyme activities of DHA, Acid-P, ALP, URA, and FDA over CT-R by 19.4, 20.7, 21.5, 20.7 and 15.2 %, respectively. ZT + R also had higher VLC, ACP, LI and CMI over CT-R. Among ONMPs, the natural-farming based ONMP, N5 considerably improved SMBC, SMBN, SMBP, FDA, DHA, Acid-P, URA, and ALP by 12.7-12.9 % over N1 (100 % RDF). ONMP-N5 improved the available-N, P, K content over N1 by 6.6, 5.8 and 6.7 %, respectively. ONMP-N5 had higher (p < 0.05) microbial-count, VLC, APC, LI and CMI; however, system-productivity was ∼4.1 % lower than N1 in this two-years' short-study which further need investigation in multi-location long-term experiments. Overall, the dual-crop basis ZT + R at 6 t ha-1 year-1 + NF-based ONMPs (N5) may harness higher and sustained productivity under SWCS besides advancing soil-health and soil carbon-pools in sandy-loam soils of north-Indian plains and similar soils across south-Asia.
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Affiliation(s)
- Gaurav Verma
- Department of Agronomy, CCS Haryana Agricultural University, Hisar 125004, India
| | - A K Dhaka
- Department of Agronomy, CCS Haryana Agricultural University, Hisar 125004, India
| | - Bhagat Singh
- Department of Agronomy, CCS Haryana Agricultural University, Hisar 125004, India
| | - Adarsh Kumar
- ICAR-National Bureau of Agriculturally Important Microorganisms, Mau 275103, India; Division of Agronomy, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
| | - Anil K Choudhary
- Division of Agronomy, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India; Division of Crop Production, ICAR-Central Potato Research Institute, Shimla, Himachal Pradesh 171001, India.
| | - Amit Kumar
- Division of Agronomy, ICAR Research Complex for NEH Region, Sikkim Centre, Gangtok 737102, India
| | - Navish K Kamboj
- Regional Research Station, Bawal, CCS Haryana Agricultural University, Hisar 125004, India
| | | | - Sachin Singh
- Department of Agronomy, Janta Vedic College, Bagpat 250611, India
| | - Ingudam Bhupenchandra
- ICAR-KVK Tamenglong, ICAR-Research Complex for North Eastern Hill Region, Manipur Centre, India
| | - Shabnam
- Department of Soil Science, CCS Haryana Agricultural University, Hisar 125004, India
| | - Priyanka Sanwal
- Department of Soil Science, CCS Haryana Agricultural University, Hisar 125004, India
| | - Satender Kumar
- Department of Soil Science, CCS Haryana Agricultural University, Hisar 125004, India
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Bana RS, Choudhary AK, Nirmal RC, Kuri BR, Sangwan S, Godara S, Bansal R, Singh D, Rana D. High-value crops' embedded groundnut-based production systems vis-à-vis system-mode integrated nutrient management: long-term impacts on system productivity, system profitability, and soil bio-fertility indicators in semi-arid climate. FRONTIERS IN PLANT SCIENCE 2024; 14:1298946. [PMID: 38239227 PMCID: PMC10794608 DOI: 10.3389/fpls.2023.1298946] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 12/11/2023] [Indexed: 01/22/2024]
Abstract
The current study identified two new climate-resilient groundnut-based cropping systems (GBCSs), viz., groundnut-fenugreek cropping system (GFCS) and groundnut-marigold cropping system (GMCS), with appropriate system-mode bio-compost embedded nutrient management schedules (SBINMSs) for semi-arid South Asia. This 5-year field study revealed that the GMCS along with leaf compost (LC) + 50% recommended dose of fertilizers (RDF50) in wet-season crop (groundnut) and 100% RDF (RDF100) in winter-season crop (marigold) exhibited the highest system productivity (5.13-5.99 t/ha), system profits (US$ 1,767-2,688/ha), and soil fertility (available NPK). Among SBINMSs, the application of 5 t/ha leaf and cow dung mixture compost (LCMC) with RDF50 showed the highest increase (0.41%) in soil organic carbon (SOC) followed by LC at 5 t/ha with RDF50 and RDF100. Legume-legume rotation (GFCS) had significantly higher soil microbial biomass carbon (SMBC) and soil microbial biomass nitrogen (SMBN) than legume-non-legume rotations (groundnut-wheat cropping system (GWCS) and GMCS). Among SBINMSs, the highest SMBC (201 µg/g dry soil) and SMBN (27.9 µg/g dry soil) were obtained when LCMC+RDF50 was applied to groundnut. The SMBC : SMBN ratio was the highest in the GWCS. LC+RDF50 exhibited the highest SMBC : SOC ratio (51.6). The largest increase in soil enzymatic activities was observed under LCMC+RDF50. Overall, the GMCS with LC+RDF50 in the wet season and RDF100 in the winter season proved highly productive and remunerative with better soil bio-fertility. SBINMSs saved chemical fertilizers by ~25%' in addition to enhanced system productivity and system profits across GBCSs in semi-arid regions of South Asia. Future research needs to focus on studying the potential of diversified production systems on water and environmental footprints, carbon dynamics, and energy productivity under semi-arid ecologies.
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Affiliation(s)
- Ram Swaroop Bana
- Division of Agronomy, ICAR–Indian Agricultural Research Institute, New Delhi, India
| | - Anil K. Choudhary
- Division of Agronomy, ICAR–Indian Agricultural Research Institute, New Delhi, India
- Division of Crop Production, ICAR-Central Potato Research Institute, Shimla, Himachal Pradesh, India
| | - Ravi C. Nirmal
- Division of Agronomy, ICAR–Indian Agricultural Research Institute, New Delhi, India
| | - Bhola Ram Kuri
- Division of Agronomy, ICAR–Indian Agricultural Research Institute, New Delhi, India
- Krishi Vigyan Kendra, Pali, ICAR-Central Arid Zone Research Institute, Jodhpur, India
| | - Seema Sangwan
- Division of Agronomy, ICAR–Indian Agricultural Research Institute, New Delhi, India
| | - Samarth Godara
- Division of Computer Applications, ICAR–Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Ruchi Bansal
- Division of Germplasm Evaluation, ICAR–National Bureau of Plant Genetic Resources, New Delhi, India
| | - Deepak Singh
- Division of Computer Applications, ICAR–Indian Agricultural Statistics Research Institute, New Delhi, India
| | - D.S. Rana
- Division of Agronomy, ICAR–Indian Agricultural Research Institute, New Delhi, India
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Bana RS, Faiz MA, Sangwan S, Choudhary AK, Bamboriya SD, Godara S, Nirmal RC. Triple-zero tillage and system intensification lead to enhanced productivity, micronutrient biofortification and moisture-stress tolerance ability in chickpea in a pearlmillet-chickpea cropping system of semi-arid climate. Sci Rep 2023; 13:10226. [PMID: 37353506 PMCID: PMC10290053 DOI: 10.1038/s41598-023-36044-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 05/28/2023] [Indexed: 06/25/2023] Open
Abstract
Pearlmillet-chickpea cropping system (PCCS) is emerging as an important sequence in semi-arid regions of south-Asia owing to less water-requirement. However, chickpea (dry-season crop) faces comparatively acute soil moisture-deficit over pearlmillet (wet-season crop), limiting overall sustainability of PCCS. Hence, moisture-management (specifically in chickpea) and system intensification is highly essential for sustaining the PCCS in holistic manner. Since, conservation agriculture (CA) has emerged is an important climate-smart strategy to combat moisture-stress alongwith other production-vulnerabilities. Hence, current study comprised of three tillage systems in main-plots viz., Complete-CA with residue retention (CAc), Partial-CA without residue-retention (CAp), and Conventional-tillage (ConvTill) under three cropping systems in sub-plots viz., conventionally grown pearlmillet-chickpea cropping system (PCCS) alongwith two intensified systems i.e. pearlmillet-chickpea-fodder pearlmillet cropping system (PCFCS) and pearlmillet-chickpea-mungbean cropping system (PCMCS) in split-plot design. The investigation outcomes mainly focused on chickpea (dry-season crop) revealed that, on an average, there was a significant increase in chickpea grain yield under CAc to the tune of 27, 23.5 and 28.5% under PCCS, PCFCS and PCMCS, respectively over ConvTill. NPK uptake and micronutrient (Fe and Zn) biofortification in chickpea grains were again significantly higher under triple zero-tilled CAc plots with residue-retention; which was followed by triple zero-tilled CAp plots without residue-retention and the ConvTill plots. Likewise, CAc under PCMCS led to an increase in relative leaf water (RLW) content in chickpea by ~ 20.8% over ConvTill under PCCS, hence, ameliorating the moisture-stress effects. Interestingly, CA-management and system-intensification significantly enhanced the plant biochemical properties in chickpea viz., super-oxide dismutase, ascorbate peroxidase, catalase and glutathione reductase; thus, indicating their prime role in inducing moisture-stress tolerance ability in moisture-starved chickpea. Triple zero-tilled CAc plots also reduced the N2O fluxes in chickpea but with slightly higher CO2 emissions, however, curtailed the net GHG-emissions. Triple zero-tilled cropping systems (PCFCS and PCMCS) both under CAc and Cap led to a significant improvement in soil microbial population and soil enzymes activities (alkaline phosphatase, fluorescein diacetate, dehydrogenase). Overall, the PCCS system-intensification with mungbean (PCMCS) alongwith triple zero-tillage with residue-retention (CAc) may amply enhance the productivity, micronutrient biofortification and moisture-stress tolerance ability in chickpea besides propelling the ecological benefits under semi-arid agro-ecologies. However, the farmers should preserve a balance while adopting CAc or CAp where livestock equally competes for quality fodder.
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Affiliation(s)
- Ram Swaroop Bana
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Mukhtar Ahmad Faiz
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
- Afghanistan National Agricultural Sciences and Technology University (ANASTU), Kandahar, Afghanistan.
| | - Seema Sangwan
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Anil K Choudhary
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
- ICAR-Central Potato Research Institute, Shimla, Himachal Pradesh, 171001, India.
| | - Shanti D Bamboriya
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
- ICAR-Indian Institute of Maize Research, Ludhiana, Punjab, 141004, India
| | - Samarth Godara
- ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India
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Varatharajan T, Dass A, Choudhary AK, Sudhishri S, Pooniya V, Das TK, Rajanna GA, Prasad S, Swarnalakshmi K, Harish MN, Dhar S, Singh R, Raj R, Kumari K, Singh A, Sachin KS, Kumar P. Integrated management enhances crop physiology and final yield in maize intercropped with blackgram in semiarid South Asia. FRONTIERS IN PLANT SCIENCE 2022; 13:975569. [PMID: 36212325 PMCID: PMC9538492 DOI: 10.3389/fpls.2022.975569] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 08/31/2022] [Indexed: 06/16/2023]
Abstract
Photosynthesis, crop health and dry matter partitioning are among the most important factors influencing crop productivity and quality. Identifying variation in these parameters may help discover the plausible causes for crop productivity differences under various management practices and cropping systems. Thus, a 2-year (2019-2020) study was undertaken to investigate how far the integrated crop management (ICM) modules and cropping systems affect maize physiology, photosynthetic characteristics, crop vigour and productivity in a holistic manner. The treatments included nine main-plot ICM treatments [ICM1 to ICM4 - conventional tillage (CT)-based; ICM5 to ICM8 - conservation agriculture (CA)-based; ICM9 - organic agriculture (OA)-based] and two cropping systems, viz., maize-wheat and maize + blackgram-wheat in subplots. The CA-based ICM module, ICM7 resulted in significant (p < 0.05) improvements in the physiological parameters, viz., photosynthetic rate (42.56 μ mol CO2 m-2 sec-1), transpiration rate (9.88 m mol H2O m-2 sec-1) and net assimilation rate (NAR) (2.81 mg cm-2 day-1), crop vigour [NDVI (0.78), chlorophyll content (53.0)], dry matter partitioning toward grain and finally increased maize crop productivity (6.66 t ha-1) by 13.4-14.2 and 27.3-28.0% over CT- and OA-based modules. For maize equivalent grain yield (MEGY), the ICM modules followed the trend as ICM7 > ICM8 > ICM5 > ICM6 > ICM3 > ICM4 > ICM1 > ICM2 > ICM9. Multivariate and PCA analyses also revealed a positive correlation between physiological parameters, barring NAR and both grain and stover yields. Our study proposes an explanation for improved productivity of blackgram-intercropped maize under CA-based ICM management through significant improvements in physiological and photosynthetic characteristics and crop vigour. Overall, the CA-based ICM module ICM7 coupled with the maize + blackgram intercropping system could be suggested for wider adoption to enhance the maize production in semiarid regions of India and similar agroecologies across the globe.
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Affiliation(s)
- T. Varatharajan
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | - Anchal Dass
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | - Anil K. Choudhary
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
- Central Potato Research Institute, Indian Council of Agricultural Research, Shimla, India
| | - S. Sudhishri
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | - V. Pooniya
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | - T. K. Das
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | - G. A. Rajanna
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
- Directorate of Groundnut Research, Indian Council of Agricultural Research, Ananthapur, India
| | - Shiv Prasad
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | | | - M. N. Harish
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
- Farm Science Centre, Indian Institute of Horticultural Research, Indian Council of Agricultural Research, Gonikoppal, India
| | - Shiva Dhar
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | - Raj Singh
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | - Rishi Raj
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | - Kavita Kumari
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | - Arjun Singh
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
- National Research Centre for Banana, Indian Council of Agricultural Research, Tiruchirappalli, India
| | - K. S. Sachin
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
| | - Pramod Kumar
- Indian Agricultural Research Institute, Indian Council of Agricultural Research, New Delhi, India
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