Evaluating the long-term impact of projected climate on rice-lentil-groundnut cropping system in Lower Gangetic Plain of India using crop simulation modelling

Chandran, M. A. Sarath; Banerjee, Saon; Mukherjee, Arijit; Nanda, M. K.; Kumari, V. Visha

doi:10.1007/s00484-021-02189-8

Cited by 7 publications

(8 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the future, the change in rainfall is going to be drastic. According to Yadav et al (2017) and Chandran et al (2022) the mean percent change in projected rainfall compared to baseline during the lentil growing period was −7%, −8.5%, +1.7%, and −6.8%, respectively under mid_rcp4.5, mid_rcp8.5, end_rcp4.5 and end_rcp8.5 scenarios.…”

Section: Introductionmentioning

confidence: 94%

Growth, nodulation, yield, nitrogen uptake, and economics of lentil as influenced by sowing time, tillage, and management practices

Mukherjee

Naskar

Nath

et al. 2023

Front. Sustain. Food Syst.

View full text Add to dashboard Cite

Crop management practices and variety are two very important parameters that decides the crop performance. A field experiment was carried out during the two consecutive rabi seasons of 2018–19 and 2019–20 to determine the impact of sowing timing, tillage operation, and variety on the growth, development, yield characteristics, and nitrogen uptake in lentil crops. The experiment was conducted in a split-split plot design with 3 replications comprising two different sowing conditions (S1: early sowing after harvesting of short duration kharif rice, S2: delayed sowing after harvesting of long duration kharif rice) in main plots, three different tillage operations (T1: Relay cropping, T2: Zero tillage, T3: Conventional tillage) in subplots and two different varieties (V1: short duration: L4717, V2: long period: Moitri) in subplots. The findings demonstrated a substantial interaction between sowing time, tillage, and variety on various growth and yield parameters of lentil crops. The early sowing of lentil crops (early November) yielded 4.8% more (1,105 kg ha−1) than late November sowing and adapting to the short-duration variety L4717 over the long-duration cultivar Moitri resulted in a yield increase of 5.9% (1,086 kg ha−1). Apart from providing a higher yield, it also provided an opportunity to take another crop like leafy vegetables. Among the three tillage practices adopted, conventional tillage produced the lowest yield (1,017 kg ha−1) in both experimental years. In contrast, a yield increase of 6.9% and 26.9% in relay cropping and zero tillage systems was observed, respectively. Early-sown lentils with no-tillage and a short-duration variety reached a certain phenophase faster than other combinations (life cycle: 96.2 and 98.7 days for lentils in both years). For both the sowing times, the growth parameters and the number of nodules plant−1 were highly correlated with nitrogen uptake at different stages of the life cycle. High net returns (Rs. 51,220 and 59,257) leading to higher benefit-cost ratios were observed under the treatment combination of early sowing + zero tillage + short duration variety. Therefore, the study found that short-duration lentil cultivars in combination with early sowing in the zero-tillage system are the best agronomic approach for the sustainability of lentil production after the monsoon rice harvest.

show abstract

Section: Introductionmentioning

confidence: 94%

Growth, nodulation, yield, nitrogen uptake, and economics of lentil as influenced by sowing time, tillage, and management practices

Mukherjee

Naskar

Nath

et al. 2023

Front. Sustain. Food Syst.

View full text Add to dashboard Cite

show abstract

“…To model intercropping in terms of neighboring effects in the context of field boundary cultivation, Knörzer et al [61] developed and integrated a new model approach into the DSSAT model. Different models are considered for modeling interspecific competition in different ways, for example, DSSAT ( [60,62]), DNDC ( [24,55]); ALMANAC ( [64,65]), APSIM ( [55,58]), ERIN, FASSET, GAPS, GROWIT, INTERCOM, KMS, NTRM-MSC, SIRASCA, SODCOM, SOYWEED, STICS ( [66]), VCROPS, and WATER-COMP [61]. One main strength of these models is that they consider the effects of several abiotic stresses (e.g., water, N, and temperature) and their interactions on crop performance providing a quantitative estimate at a relevant scale (e.g., yield ha − 1).…”

Section: Crop Simulation Models (Csm) In Multiple Cropping Systems 21...mentioning

confidence: 99%

“…Similarly, Hernández-Ochoa et al [19] identified and tested the robustness of some models (e.g., APSIM, DSSAT, EPIC, STICS, and WOFOST) for the regulation of GHGs by simulating N 2 O emissions and mitigation of climate change. Banerjee et al [62] assess the impact of projected climate on the growth and yield of rice-lentil-groundnut cropping sequence using DSSAT and suggested that rice benefited from preceding groundnut and residue, hence, could sustain the yield in a long term.…”

Section: Explore Water Management Ghg Regulation and Adaptation Strat...mentioning

confidence: 99%

Application of Crop Modeling in Multi-Cropping Systems for Maximize Production and Build Resilient Ecosystem Services

Ebbisa¹

2023

Resource Management in Agroecosystems

View full text Add to dashboard Cite

One of the main challenges in the transition to more sustainable agriculture is designing and selecting agricultural systems that are stable and perturbation resistant. Crop diversification is now recognized as a decisive part of sustainable agroecological development. It is one of the crucial agroecological practices that prove ecosystem services such as nutrient cycling, biological N fixation, pest and disease regulation, erosion control, climate regulation, soil fertility maintenance, biodiversity conservation, and carbon sequestration. To maximize these desired outcomes, understanding, designing, and optimizing, the adoption of crop diversification is crucial for the sustainability of food production under low-input practices. One approach to building sustainable food security and optimal management systems for limited resources is through the application of crop simulation models in multi-cropping systems. Indeed, some models can be used to simulate intercropping systems such as DSSAT, APSIM, ALMANAC, STICS, and FASSET. Thus, the application of such powerful models provides an option to redesign crop mixtures in appropriate sowing proportion and sowing date to tackle the enormous challenges facing agricultural development. In this regard, this review intended to assess existing suitable model to simulate multiple cropping systems and its role in building resilient crop production and ecosystem services without damaging the environment. It also highlights the key role of crop diversity as an ecosystem service provider to guarantee plant productivity in emerging systems of sustainable agriculture.

show abstract

“…Hence, for each study location, there were five outputs for phenology, CWR and IWR during near-century-RCP4.5 and another five during near-century-RCP8.5. To combine this into a single output, the weighted average ensemble technique [31] was used via the following Equation ( 7):…”

Section: Impact Of Projected Climate On Phenology Crop and Irrigation...mentioning

confidence: 99%

Water Demand in Maize Is Projected to Decrease under Changing Climate in India

et al. 2022

Self Cite

View full text Add to dashboard Cite

Crop stage-specific information on the impacts of projected climate change on crop and irrigation water requirements are essential for improving productivity. This study investigated the possible implications of projected climate change on the phenology, effective rainfall (Peff), crop (CWR) and irrigation water requirements (IWR) of maize in eight locations in India. CWR, Peff and IWR were estimated for seven crop stages viz., emergence, 5th leaf stage, tasseling, silking, milking, dough and maturity during the baseline (1980–2009) and near-century (2022–39) using climate data derived from a subset of 29 general circulation models. The results indicated that mean seasonal maximum temperature, minimum temperature and rainfall were projected to increase in all the locations. Hence, the total crop duration (3–7 days), CWR (8–69 mm) and IWR (1–54 mm) were projected to decrease. The study could identify the specific stages in which the greatest reduction in crop duration, CWR and IWR would occur. Such information will be of immense help to farmers and varietal improvement programs in the study regions in the near future.

show abstract

Evaluating the long-term impact of projected climate on rice-lentil-groundnut cropping system in Lower Gangetic Plain of India using crop simulation modelling

Cited by 7 publications

References 43 publications

Growth, nodulation, yield, nitrogen uptake, and economics of lentil as influenced by sowing time, tillage, and management practices

Growth, nodulation, yield, nitrogen uptake, and economics of lentil as influenced by sowing time, tillage, and management practices

Application of Crop Modeling in Multi-Cropping Systems for Maximize Production and Build Resilient Ecosystem Services

Water Demand in Maize Is Projected to Decrease under Changing Climate in India

Contact Info

Product

Resources

About