Simulation of tillage, crop residue mulch and nitrogen interactions on yield and water use efficiency of wheat (Triticum aestivum) using DSSAT model

Rani, Alka; Bandyopadhyay, K. K.; Krishnan, P.; Sarangi, A.; Datta, S. P.

doi:10.56093/ijas.v90i10.107885

Cited by 3 publications

(3 citation statements)

References 22 publications

(19 reference statements)

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“…Pradhan et al . (2011) explained that greater Olsen P contents in ZT were due to the formation of stable complexes of P-fixing/immobilising ions like Ca 2+ , Fe 3+ and Al 3+ with SOM. Consistent with the results of Yadvinder-Singh et al .…”

Section: Discussionmentioning

confidence: 99%

“…Earlier studies showed greater P availability in the surface soil layers under ZT with residue retention as compared to CT (Dıaz-Zorita and Grove 2002; Kumar et al 2004). Pradhan et al (2011) explained that greater Olsen P contents in ZT were due to the formation of stable complexes of P-fixing/immobilising ions like Ca 2+ , Fe 3+ and Al 3+ with SOM. Consistent with the results of Yadvinder- Singh et al (2004), increase in available K in soil continuously amended with rice residue was relatively small.…”

Section: Soil Chemical Propertiesmentioning

confidence: 99%

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Tillage, crop establishment and residue retention methods for optimising productivity and profitability under rice–wheat system

Thind

Sharma

Sidhu

et al. 2023

Crop & Pasture Science

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Conventional tillage and crop establishment methods for the rice–wheat (RW) system are input intensive (water, labour and energy). About 24.5 million tonnes of rice residues are burnt every year on farms in north-western India before sowing of wheat, causing air pollution and soil health degradation. Therefore, alternative tillage, crop establishment and residue management practices are needed for long-term sustainability of the RW system. A 4-year field study evaluated four tillage and crop establishment methods in rice (in main plots) and three tillage and rice residue management methods in wheat (in subplots) for their effects on yield, soil fertility, and profitability of the RW system. Average rice yields were similar under conventional puddled transplanted rice (PTR) and conventional till dry seeder rice (CTDSR). Both of these treatments produced significantly greater yields (10–16%) compared with zero till DSR (ZTDSR) and ZT machine transplanted rice in non-puddled soil, respectively, regardless of tillage and straw management methods in the previous wheat crop. Wheat yields in ZT wheat (ZTW) with 100% surface retention of rice residue (+R) were significantly greater than conventional till without residue retention after 2 years of experimentation, and accompanied by significant increases in macro-nutrient (potassium) availability in soil. The ZTW−R (no residue) treatment produced 15% lower wheat yield than ZTW+R. System yield was highest in CTDSR-ZTW+R, which was 5% higher than the conventional practice PTR-CTW−R, resulting in Rs 17 000 ha−1 greater net returns.

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Section: Discussionmentioning

confidence: 99%

Section: Soil Chemical Propertiesmentioning

confidence: 99%

Tillage, crop establishment and residue retention methods for optimising productivity and profitability under rice–wheat system

Thind

Sharma

Sidhu

et al. 2023

Crop & Pasture Science

View full text Add to dashboard Cite

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“…Economic, social, political, technological, and human hazards all have an impact on the agriculture industry, which has a very sensitive and unique structure. Some variables may be taken into account for efficient production (Rani et al 2020). From this perspective, agriculture's effective performance in terms of human nutrition is inextricably linked to the management of hazards that endanger agricultural productivity (Tümer et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Determining Alternative Crops with Multi Criteria Decision Making Methods within the Framework of Land Risk Criteria

IŞIK

2023

J Agr Sci-Tarim Bili

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Natural, societal, and economic hazards have a negative impact on agricultural production. In the field of agriculture, productivity studies are common, but election studies are rare. The goal of the study was to figure out which product to plant based on the region’s characteristics by anticipating risk factors in advance. The most appropriate crop kind to grow based on the risk variables faced in agricultural production was explored in this study. The nine risk factors in the Çukurova region, as well as three alternative crops, were determined for this study. Input costs, changes in climatic conditions, changes in yield loss due to pests, agricultural tools and machinery failure, theft, fire, crop damage due to excessive water, crop loss due to drought and lack of technical information were chosen as criteria. Citrus, cereal, and legume were chosen as alternative crops. First, using the Analytical Hierarchy Process method, the weights of the score were determined. As a consequence of the weighing, the input costs criterion had the greatest weight value of 0.29. The criterion with the lowest score was a lack of technical information (0.01). Then, using the steps of the Elimination and Choice Translating Reality English method, which is one of the Multi Criteria Decision Making methods, the best relevant alternative ranking was determined. The comparison was also done using the Technique for Order Preference by Similarity to Ideal Solutions method. The cereal alternative was the best in both methodologies as a result of their application. In the first method, legumes and citrus were chosen, however in the second method, the opposite outcome was obtained.

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Simulation of maize and soybean yield using DSSAT under long-term conventional and no-till systems

et al. 2022

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Context No-tillage (NT) has been gaining popularity over the conventional tillage (CT) for agricultural sustainability. Field experiments conducted worldwide to compare crop production under NT vs CT systems are generally site specific and expensive to maintain over longer duration. To overcome this gap, process-based models have been used to simulate the potential impact and benefits of various management practices on crop yield and soil properties under different environmental conditions. Aims (1) We evaluated the Cropping System Model (CSM)-CERES-Maize and CSM-CROPGRO-Soybean model for NT and CT systems; and (2) compared the long-term impacts of NT and CT on crop yield and soil organic carbon (SOC). Methods Two crop models, available in the Decision Support System for Agrotechnology Transfer (DSSAT), were calibrated and evaluated using maize (Zea mays L.) and soybean (Glycine max L.) yield data from 2006 through 2011 under CT and NT treatments. Key results For crop yield, we showed that the coefficient of determination (R2) for the calibration and evaluation phases of CERES-Maize model were 0.94 and 0.94, respectively, while the index of agreement (d) for these phases were 0.93 and 0.86. Similarly, the R2 values for the calibration and evaluation phases of CROPGRO-Soybean model were 1.00 and 0.65, respectively, with d-values of 0.99 and 0.85. Conclusions The results from these long-term (30-year) simulations suggest that compared to CT, the NT system enhanced SOC over time and, hence, crop yield and biomass production. Implications Application of NT can be beneficial for enhancing the soils and crop production in the long-term as compared to the CT system.

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Simulation of tillage, crop residue mulch and nitrogen interactions on yield and water use efficiency of wheat (Triticum aestivum) using DSSAT model

Cited by 3 publications

References 22 publications

Tillage, crop establishment and residue retention methods for optimising productivity and profitability under rice–wheat system

Tillage, crop establishment and residue retention methods for optimising productivity and profitability under rice–wheat system

Determining Alternative Crops with Multi Criteria Decision Making Methods within the Framework of Land Risk Criteria

Simulation of maize and soybean yield using DSSAT under long-term conventional and no-till systems

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