Simulating the effect of tillage practices on the yield production of wheat and barley under dryland condition

EL-Ghany, Fatma; Shaalan, Ahmed M.; El-Sadek, Ashraf

doi:10.15159/ar.20.188

Cited by 3 publications

(3 citation statements)

References 35 publications

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“…Среди дестабилизирующих факторов на первом месте находятся природные аномалии. В частности, большое внимание уделяется проблемам засухи и мероприятиям по повышению урожайности, прибыльности и устойчивости сельского хозяйства в засушливых районах многих стран, расположенных в различных макрорегионах [8][9][10]. К факторам, способствующим смягчению или преодолению последствий кризисов в сельскохозяйственном секторе, следует прежде всего отнести использование инноваций и технологий.…”

Section: Economyunclassified

Factor analysis of the volatility of agricultural production in the Russian Federation as an indicator of the economic crisis

Terekhov,

Ovcharov,

Nazarova

2024

Agrarian Bulletin of The

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Relevance. The great potential for the development of the agricultural industry in the Russian Federation necessitates the study of factors influencing it. In the current crisis conditions of economic development, this direction will help identify the causes of the development of agricultural crises, make timely management decisions related to minimizing the consequences of their negative impact and rapid economic recovery. The purpose of the study is to analyze the factors of agricultural activity that can reflect the impact of instability and economic crises on the development of the agricultural sector. Methods. The methods of normalized sliding standard deviation, a model of multiple linear regression, a forecasting method based on the ARIMA model, and the Granger causality test were used. Scientific novelty. For the first time in Russian practice, the volatility of agricultural indicators was assessed, the links between these indicators and shocks in financial markets were revealed. Results. A statistical relationship between the volume of agricultural production and instability factors has been modeled, showing that 87.5 % of the variation in agricultural production can be explained by variations in variables – water, labor. The causality test showed that instability in the agricultural sector is the reason for the volatility of the RTS index, the index of industrial production. The growth of agricultural production is predicted for all three forecasting scenarios. The most likely (optimal) scenario showed an increase in production volumes to 9806,9 billion rubles by the end of 2023, to 10 707,1 billion rubles by the end of 2024 and to 11 605,1 billion rubles by the end of 2025. It is concluded that financial shocks cause an increase in volatility in agricultural markets.

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Section: Economyunclassified

Factor analysis of the volatility of agricultural production in the Russian Federation as an indicator of the economic crisis

Terekhov,

Ovcharov,

Nazarova

2024

Agrarian Bulletin of The

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“…The DM of maize plants ranged from 103.5 g plant −1 in the CN up to 118.5 g and 154.9 g plant −1 , observed in the CS and NT TP, respectively. NT TP was frequently found to facilitate crop production in drier soil conditions [53], due to higher soil moisture, lower soil temperature, higher soil carbon content and soil aggregate stability [54].…”

Section: Maize Growth Parametersmentioning

confidence: 99%

Critical Period of Weed Control in Maize as Influenced by Soil Tillage Practices and Glyphosate Application

Adamič Zamljen,

Leskovšek

2023

Agronomy

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Increasing evidence on environmental and economic benefits has raised farmers’ interest in adopting alternative, less intensive soil management practices. To evaluate the influence of weed-competitive ability in response to a different tillage regime, a field study was conducted in maize under humid Central European climatic conditions in Slovenia. This study was established as a split-plot arrangement with three tillage practices (TPs) as the main plot: conventional (CN), conservation (CS), and no tillage (NT); this was combined with glyphosate application and the weed removal timing as the subplot. The weed removal timings were at the V3, V6, V9, V15, and R1 maize stages, with weed-free and weed season-long monitoring. The beginning and the end of the critical period of weed control (CPWC), based on a 5% maize yield loss rate, were determined by fitting the four-parameter log-logistic equations to the relative maize dry grain yield. The weed dry biomass from maize germination until the R1 growth stage in the NT TP was consistently lower than that in the CN and CS TP. Moreover, the NT TP resulted in a shorter CPWC (39 days after emergence (DAE)) compared to the CN (57 DAE) and CS (58 DAE). The results of CTWR (critical timing of weed removal) showed that less intensive tillage operations in the CS resulted in an earlier need for weed control (V2 and 23 DAE) compared to the CN (V3 and 39 DAE) and NT (V3 and 40 DAE). Our study suggests that the intensive tillage operations performed in the CN TP and the pre-sowing use of non-selective burndown herbicide in the NT delay the CTWR by more than 2 weeks, thus reducing the need for early post-emergence herbicide application in maize.

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“…No tillage wheat yields outperformed CT significantly by 26-114 %. Under Mediterranean conditions, barley yield was doubled under No-tillage compared to CT in a dry year (El-Sadek et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Wheat Productivity Under Different Levels of Tillage, Seeding Rate and Nitrogen Sources in An Arid Region

Shaalan

Amer²,

Khalil³

2022

Alexandria Science Exchange Journal

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A two year field experiment was conducted during the winter season of 2018/2019 and 2019/2020, to evaluate grain yield and some agronomic traits of the Egyptian local wheat cultivar (Shandaweel 1) under three tillage practices; conventional (CT), partial (PT) and zero tillage (ZT), three nitrogen fertilizer treatments (180 kg mineral N ha -1 (N1), 144 kg N ha -1 + humic acid (N2) and 108 kg N ha -1 + humic acid + halex (N3) as well as three seeding rates (95 (S1), 119 (S2) and 143 (S3) kg ha -1 ). Conservation tillage practices showed significantly higher yield or at least equal to partial tillage, highlighting 1.6 ton ha -1 increase over conventional tillage in 2019 season, emphasizing the suitability of conservation tillage for agriculture in arid regions. Averaged over the two growing seasons, the non-significant 0.6 ton ha -1 difference in yield between N1 and N3 suggests the replacement of part of the mineral nitrogen fertilizer with more environmentally friendly forms without yield penalty. The intermediate seeding rate offered an adequate balance between resources and number of plants/unit area, thus minimizing competition and outperforming the lowest and highest seeding rate with a 0.5-0.7 ton ha -1 over the two growing seasons.

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Simulating the effect of tillage practices on the yield production of wheat and barley under dryland condition

Cited by 3 publications

References 35 publications

Factor analysis of the volatility of agricultural production in the Russian Federation as an indicator of the economic crisis

Factor analysis of the volatility of agricultural production in the Russian Federation as an indicator of the economic crisis

Critical Period of Weed Control in Maize as Influenced by Soil Tillage Practices and Glyphosate Application

Enhancement of Wheat Productivity Under Different Levels of Tillage, Seeding Rate and Nitrogen Sources in An Arid Region

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