| Literature DB >> 34642509 |
Neeraj Kumar1, R S Chhokar1, R P Meena1, A S Kharub1, S C Gill1, S C Tripathi1, O P Gupta1, S K Mangrauthia2, R M Sundaram2, C P Sawant3, Ajita Gupta3, Anandkumar Naorem4, Manoj Kumar5, G P Singh1.
Abstract
ABSTRACT: Rice-wheat cropping system, intensively followed in Indo-Gangetic plains (IGP), played a prominent role in fulfilling the food grains demand of the increasing population of South Asia. In northern Indian plains, some practices such as intensive rice cultivation with traditional method for long-term have been associated with severe deterioration of natural resources, declining factor productivity, multiple nutrients deficiencies, depleting groundwater, labour scarcity and higher cost of cultivation, putting the agricultural sustainability in question. Varietal development, soil and water management, and adoption of resource conservation technologies in rice cultivation are the key interventions areas to address these challenges. The cultivation of lesser water requiring crops, replacing rice in light-textured soil and rainfed condition, should be encouraged through policy interventions. Direct seeding of short duration, high-yielding and stress tolerant rice varieties with water conservation technologies can be a successful approach to improve the input use efficiency in rice cultivation under medium-heavy-textured soils. Moreover, integrated approach of suitable cultivars for conservation agriculture, mechanized transplanting on zero-tilled/unpuddled field and need-based application of water, fertilizer and chemicals might be a successful approach for sustainable rice production system in the current scenario. In this review study, various challenges in productivity and sustainability of rice cultivation system and possible alternatives and solutions to overcome such challenges are discussed in details. © Akadémiai Kiadó Zrt. 2021.Entities:
Keywords: Conservation agriculture; Factor productivity; Global warming; Groundwater table; Residue management; Rice production
Year: 2021 PMID: 34642509 PMCID: PMC8498983 DOI: 10.1007/s42976-021-00214-5
Source DB: PubMed Journal: Cereal Res Commun ISSN: 0133-3720 Impact factor: 1.240
Fig. 1Trend of rice yield in South Asia (
Source: FAOSTAT)
Fig. 2Trend of rice area in South Asia (
Source: FAOSTAT)
Change in population and per-capita water availability of India over the years
| Year | Population (in millions) | Decadal change in population (%) | Per-capita water availability (m3 y−1) | Decadal change in per-capita water availability (%) |
|---|---|---|---|---|
| 1951 | 361 | – | 5177 | – |
| 1961 | 439 | 21.6 | 4987 | −3.8 |
| 1971 | 548 | 24.8 | 4632 | −7.7 |
| 1981 | 683 | 24.6 | 3498 | −32.4 |
| 1991 | 846 | 23.9 | 2209 | −58.4 |
| 2001 | 1029 | 21.6 | 1820 | −21.4 |
| 2011 | 1210 | 17.6 | 1598 | −13.9 |
| 2021* | 1345 | 11.2 | 1421 | −12.5 |
| 2031* | 1463 | 8.8 | 1306 | −8.8 |
| 2041* | 1560 | 6.6 | 1225 | −6.6 |
| 2051* | 1628 | 4.4 | 1174 | −4.3 |
*Estimated values
Sources: Anonymous (2019b), Babita and Kumar (2019)
Fig. 3Annual rainfall and deviation from mean rainfall of India during 1988–2018
Source: Somasundar (2014), Jaganmohan (2020)
Major weed flora of rice fields in South Asia
| Grass weeds | Broadleaved | Sedges | References |
|---|---|---|---|
| Rao et al. ( |
Residue production from various crops in India over the years
| Year | Residue production (in million tonnes) | |||
|---|---|---|---|---|
| Rice | Wheat | Maize | Sugarcane | |
| 1950–1951 | 28.81 | 8.40 | 3.98 | 21.68 |
| 1960–1961 | 48.41 | 14.30 | 9.38 | 41.80 |
| 1970–1971 | 59.11 | 30.98 | 17.23 | 48.02 |
| 1980–1981 | 75.08 | 47.20 | 16.01 | 58.62 |
| 1990–1991 | 104.01 | 71.68 | 20.61 | 91.60 |
| 2000–2001 | 118.94 | 90.58 | 27.69 | 112.46 |
| 2010–2011 | 134.37 | 112.93 | 49.98 | 130.10 |
| 2011–2012 | 147.42 | 123.34 | 50.05 | 137.20 |
| 2012–2013 | 147.32 | 121.56 | 51.20 | 129.66 |
| 2013–2014 | 149.31 | 124.61 | 55.80 | 133.81 |
| 2014–2015 | 147.67 | 112.49 | 55.59 | 137.69 |
| 2015–2016 | 146.17 | 119.98 | 51.91 | 132.41 |
| 2016–2017 | 153.58 | 128.06 | 59.57 | 116.31 |
| 2017–2018 | 157.86 | 129.83 | 66.13 | 144.36 |
| 2018–2019 | 162.99 | 132.85 | 62.63 | 152.06 |
Residue production has been calculated from yield data of rice, wheat, maize and sugarcane (Source: PBAS 2019) with their residue-to-product ratio as 1.4, 1.3, 2.3 and 0.33, respectively
Fig. 4Different in-field and off-field options for residue management
Fig. 5Figure depicting (a) share of agriculture sector in CH4 emission, (b) amount of CH4 emission from agriculture sector, (c) share of agriculture sector in N2O emission, (d) amount of N2O emission from agriculture sector (
Source: FAOSTAT)
Genetic engineering approaches for developing abiotic stress tolerance in rice
| Gene | Gene description | Gene source | Phenotype | Reference |
|---|---|---|---|---|
| Overexpression | ||||
| LEA (Late Embryogenesis Abundant) protein | Salinity and drought tolerance | Xu et al. ( | ||
| LEA protein | Salinity and Drought tolerance | Duan and Cai ( | ||
| Aquaporin (plasma membrane intrinsic protein) | Salinity tolerance | Liu et al. ( | ||
| Trehalose-6-phosphate synthase | Salinity, drought, and cold tolerance | Fan et al. ( | ||
| Heat shock protein | Salinity tolerance | Hoang et al. ( | ||
| Heat shock protein | Heat, drought, salt and cold tolerance | Wang et al. ( | ||
| Pyruvate Decarboxylase | Submergence tolerance | Quimio et al. ( | ||
| ABA receptor | Drought and cold tolerance | Verma et al. ( | ||
| ABA pathway protein | Drought and heat tolerance | El-Esawi et al. (2019) | ||
| Transcription factor | Drought and salinity tolerance | Tang et al. ( | ||
| RNA interference (RNAi) | ||||
| Regulatory non-coding small RNA | Cold tolerance | Cui et al. ( | ||
| Regulatory non-coding small RNA | Cadmium tolerance | Ding et al. ( | ||
| Regulatory non-coding small RNA | Cold tolerance | Yang et al. ( | ||
| Regulatory non-coding small RNA | Drought tolerance | |||
| Regulatory non-coding small RNA | Sensitive to salinity and alkalinity | Gao et al. ( | ||
| Regulatory non-coding small RNA | Drought and salt tolerance | Jiang et al. ( | ||
| Genome editing | ||||
| DST protein | Drought and salinity tolerance | Kumar et al. ( | ||
| Transcription factor | Salinity tolerance | Zhang et al. ( | ||
| Transcription factor | Cold tolerance | Zeng et al. ( |
Fig. 6Key intervention areas to ensure consumer pro high rice grain quality
Effect of CA practices on soil organic carbon, yield and other aspects in different cropping systems
| Source | Cropping system | Soil type | Treatments | Effect on organic carbon | Yield | Other benefits |
|---|---|---|---|---|---|---|
| Das et al. ( | Cotton–wheat Maize–wheat–green gram | Sandy loam | Tillage treatments: | 26% higher than CT | Similar | – |
| Zero tillage (ZT) with flat and bed planting | ||||||
| Conventional tillage (CT) with flat and bed planting | ||||||
| Residue treatments: | ||||||
| No residue | ||||||
| cotton/maize residue | ||||||
| wheat residue | ||||||
| cotton/maize + wheat residue | ||||||
| Choudhury et al. ( | Rice–wheat | Sandy loam sodic soil | Combination of tillage (conventional and conservation) and residue management (with and without) coupled with the system of rice cultivation (PTR and DSR) | 33.6% higher with DSR in zero-tilled wheat with residue retention | 8.3% higher equivalent wheat yield | Increased water-stable macro-aggregates |
| Guo et al. ( | Rice–wheat | Silty clay loam | Treatment included CT and NT (no-tillage) with and without returning of wheat residue | NT with residue returning increased soil organic carbon over CT | – | Higher microbial biomass carbon over CT |
| Parihar et al. ( | Maize-based cropping systems | Sandy loam | Tillage treatments included zero tillage, permanent raised beds and CT | Increased by 23–35% over CT | Higher maize equivalent yield in zero tillage after the initial two years | Water-stable aggregates, soil microbial biomass carbon and soil enzymatic increased, while penetration resistance and bulk density decreased under CA |
| Crop rotations included maize–wheat–mungbean, maize–chickpea–sesbania, maize–mustard–mungbean and maize–maize–sesbania | ||||||
| Bera et al. ( | Rice–wheat | Sandy loam | Tillage and crop establishment methods in rice included ZT-DSR, CT-DSR, ZT-Direct-transplanted rice and PTR | 7–9% higher over other treatments | 6–10% higher wheat yield in ZTW + R over CTW-R and ZTW-R | Higher soil enzyme activities in ZT-DSR coupled with ZTW + R |
| Tillage and residue treatments in wheat included CT and ZT wheat with the removal of both crops residue(CTW-R and ZTW-R) and ZT wheat with the removal of wheat residue but retaining rice residue (ZTW + R) | ||||||
| Das et al. ( | Maize–wheat | Sandy clay loam | Treatments included CT, ZT on flatbed (with and without residue), permanent narrow bed (with and without residue) and permanent broad bed (with and without residue) | Higher | Up to 29% higher grain yield in maize and comparable wheat yield over CT | Overall 59% and 11% higher water productivity in maize and wheat, respectively, |
| 12% higher net returns in zero tillage on the permanent broad bed (with residue) over CT | ||||||
| Jat et al. ( | Rice–wheat | Loamy | Treatments involved CT-based rice–wheat, PTR-ZT-based wheat and mungbean and CA-based rice–wheat–mungbean and maize–wheat–mungbean | Higher | Similar | Soil bulk density and penetration resistance reduced while infiltration rate improved |
| Rice–wheat–mungbean | ||||||
| Maize–wheat–mungbean | ||||||
| Increased available N, Zn and Mn under CA over CT | ||||||
| Mondal et al. ( | Rice–wheat–mungbean | Silty clay | Treatments included DSR-ZTW- ZT mungbean, PTR-ZTW-CT mungbean and UPTR-CT potato + maize–ZT mungbean | Increased | Similar | Subsurface compaction reduced and soil aggregation improved |
| Rice–potato + maize–mungbean | ||||||
| Macro- and water-stable aggregates and steady-state infiltration rate increased | ||||||
| Patra et al. ( | Rice–wheat–mungbean | Loamy | Treatments involved CT-based rice–wheat–mungbean, CA-based rice–wheat–mungbean and maize–wheat–mungbean and PTR-ZT-based wheat and mungbean | Higher | – | Increased total nitrogen in CA-based cropping systems |
| Maize–wheat–mungbean | ||||||
| Parihar et al. ( | Maize–wheat–mungbean | Sandy loam | Tillage treatments included zero tillage, permanent beds and CT | Higher as compared to CT | – | – |
| 30% (maize and wheat) and 100% (mungbean) residue retained in zero tillage and permanent beds/incorporated in CT | ||||||
| Nutrient strategies included control, farmer fertilizer practice, recommended fertilizer and site-specific nutrient management treatments | ||||||
| Sinha et al. ( | Rice–wheat | Sandy clay loam | Treatments included three rice crop establishment practices (PTR, unpuddled transplanted rice and DSR) and CT and ZT practices in wheat and maize crop | Increased | Similar | – |
| Rice–maize | ||||||
| Dey et al. ( | Rice–wheat | Clay loam | Treatments involved CT rice–CT wheat, CT rice–ZT wheat, DSR–CT wheat, DSR-ZT wheat (with and without residue) and DSR–ZT wheat on a raised bed with residue | 20–40% higher in DSR-ZT wheat with residue over CT rice–CT wheat | – | Improved C quality in terms of the nutrient supply and buffering capacity |