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IntroductionOver the years, smallholder farmers have faced more vulnerability to risk and uncertainty in India due to their dependence on cereal crops. One way to reduce this risk is through diversified agriculture, integrating different practices for efficient resource utilization, and adopting a farming systems approach. An integrated farming system (IFS) is one such technique that provides year-round income from different components of enterprises. However, the decision to adopt IFS may be determined by several characteristics of farmers, which needs to be delineated through impact analysis to harness the benefits of a systems approach.MethodsThis study analyzes the economic effects of integrated farming systems and assesses their determinants, as well as the dietary diversity patterns of farmers in two states of southern India, i.e., Kerala and Tamil Nadu. A multistage sampling technique was used to obtain cross-sectional data from 367 farmers randomly chosen from one district in Kerala and two districts in Tamil Nadu. The participants have Crop + Horticulture + Animal husbandry (45.45%) as their major system, whereas non-participants have Crop + Animal husbandry (44.35%) as their predominant system. Coarsened exact matching and logit regression methods were used to evaluate the economic impacts of IFS and its influencing factors.ResultsThe findings of the study indicate that age, education, livestock holding, access to credit, and plantation area have a positive and significant effect on participation by farmers in the program. The matching results show that adoption of IFS resulted in a significant economic impact, generating an additional gross income of Rs. 36,165 ha−1 and a net income of Rs. 35,852 ha−1 and improving the dietary diversity of farm households by 8.6% as compared to non-adopters.DiscussionThis study suggests that IFS is a promising approach for improving farmers' livelihoods, economic gains, and nutritional security. Therefore, the integrated farming systems models need to be upscaled through the convergence of government schemes in other regions of India to support smallholder farmers' farming.

Excess use of hazardous agrochemicals and inorganic fertilizers resulted negative impact on environmental outcomes and degraded soil function, biological diversity, and ecosystem services. A 15-year long-term (2004–05 to 2017–18) field experiment was conducted to improve the ecosystem services with soil quality restoration and stabilization of yield through agronomic manipulation in the rice (Oryza sativa)–wheat (Triticum aestivum) system under Indo-Gangetic Plains (IGP). Three crop management practices (i) organic crop management, (ii) inorganic crop management, and (iii) integrated crop management were evaluated at four locations (i) Jabalpur, (ii) Ludhiana, (iii) Pantnagar, and (iv) Modipuram in a factorial randomized block design and replicated thrice at each location. Among the spatial variation, the highest soil quality indicators like soil microbial biomass carbon (0.52 mg g−1), fungal (46.2 CFU × 104 CFU), bacterial (54.2 CFU × 106 CFU), and actinomycetes viable cells (23.0 CFU × 106 CFU), and nutrients (available N and available P) were observed at Pantnagar than other location. The soil pH varied from 7.2 to 8.3, and the lowest bulk density (ρb) was recorded at Jabalpur and Modipuram. Subsequently, higher system productivity (8,196.7 kg ha−1) and net returns were obtained in Pantnagar > Ludhiana, and it was 44.1–63.4% higher than in Modipuram and Jabalpur. Among the crop management, organic crop management significantly improved (p < 0.05) ρb, soil organic carbon, available N, available P, and available K by 3.7%, 33.3%, 16.4%, 37.8%, and 20.3% over inorganic crop management, respectively. Similarly, the highest bacterial, fungal, and actinomycetes viable cell counts were found under the organic plots, followed by integrated plots. In terms of productivity, integrated crop management (ICM) had increased the system productivity by 4.7%–6.7% and net returns by 22.2% and 23.5% over inorganic and organic crop management. Similarly, the highest sustainability yield index (SYI) was recorded in integrated crop management (0.77) as compared to inorganic (0.74) and organic management (0.75). The soil quality index was estimated as 0.60, 0.53, and 0.54 in organic, inorganic, and ICM, respectively. Hence, the study indicated that the application of organic amendments under organic or integrated crop management improves the system’s resiliency and sustainability. Therefore, the study concludes that towards organic approach (integrated application of organic amendments with a gradual reduction in mineral fertilizers) is better suitable for keeping the rice–wheat system productivity and sustainable in the long term.

The developed IFS model is having different components which comprise of arable crops (1.04 ha), horticulture crops (0.22 ha), fishery (0.10 ha), mushroom (0.02 ha), poultry (10 birds), vermicompost (0.02 ha) and kitchen garden (20 m2). The overall productivity of model was 174.04 tonnes/ha/year in terms of sugarcane equivalent yield (SEY) during the representative years (2013–18). The farmyard manure (FYM) together with vermicompost and other farm-based by-products saved the nutrients by 338.71 kg N, 124.60 kg P, 306.22 kg K and 769.56 kg NPK (kg/year). The entire annual man-days generated were 441, 465, 473, 467 and 470 in various components during 2013–14, 2014–15, 2015–16, 2016–17 and 2017–18, respectively. However, maximum man-days were generated by crop component (209/year) followed by dairy component (152/year) of the IFS model. The gross return/year/ha obtained was `6.12×103/ha and net returns of (`3.74×103/ha) with per day income of `1025 from 1.5 ha of the IFS model under irrigated agro-ecosystem. Inclusion of horticulture components and boundary plantations in the IFS model also tend to reduce GHG emissions.

Introduction: The increase in atmospheric CO2 concentration, which mainly is attributed to fossil-fuel combustion and deforestation, is often suggested as one of the prime causative factors toward accelerated global warming. This commends for sequestration of atmospheric carbon under terrestrial systems to partially offset fossil-fuel emissions. Concerning the same, agricultural sector presents an extensive opportunity, especially for countries such as India where over 55% of the population is engaged in the agriculture sector. Methods: Sequestering atmospheric carbon in agriculture requires the adoption of climate-resilient alternative agriculture practices without compromising food security. The deliberated study highlights the options of alteration in current conventional farming practices and its economic evaluation for sequestrating carbon under two Climate Change (CC) scenarios, viz., RCP 4.5 and 8.5, over three temporal scales, i.e., 2020, 2030, and 2050. Considering the current landuse pattern and existing growth rate in land-use shifting, three land-use policies, namely, Business as Usual (BaU), Optimistic, and Pessimistic scenario, integrated with CC scenarios were contemplated. Six possible futuristic scenarios were generated for the assessment of carbon sequestration and its valuation following the Integrated Valuation of Ecosystem Services and Tradeoff (InVEST) model. Results: The results suggested that across the studied region adopting an optimistic policy over BaU and pessimistic scenario, carbon can sequestrate an additional 0.64 to 1.46 Mt. (2.35 to 5.36 million ton CO2e) having an economic value of 193.4 to 504.8 million USD. Results: Moreover, the outcomes of the study are advocated for the policy of carbon credit in the agriculture sector, which shall contribute toward meeting various nationally determined contributions (NDCs) and sustainable development goals (SDGs) as well. [ABSTRACT FROM AUTHOR]