Comprehensive yield gap analysis and optimizing agronomy practices of soybean in Iran

Nehbandani, Alireza; Soltani, Afshin; Hajjarpoor, Amir; Dadrasi, Amir; Nourbakhsh, F.

doi:10.1017/s0021859621000241

Cited by 9 publications

(2 citation statements)

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“…It should be noted that while there is no universally accepted protocol for boundary line analysis, in some instances, researchers may fit the boundary line to the data at their discretion [ 20 ]. The steps involved are as follows, drawing upon the work of Makowski et al [ 20 ], Nehbandani et al [ 21 ], and Yousefian et al [ 22 ], as well as Smith and Hardie [ 23 ]:…”

Section: Methodsmentioning

confidence: 99%

Addressing food insecurity: An exploration of wheat production expansion

Dadrasi,

Chaichi,

Nehbandani

et al. 2023

PLoS ONE

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Wheat plays a crucial role in global food security, serving as a vital food crop that feeds billions of people worldwide. Currently, Russia and Ukraine are responsible for exporting approximately 25% of the world’s wheat, making any issues in these regions a cause for concern regarding global wheat supply. The problems faced in these areas have led to a surge in wheat prices worldwide. Consequently, it becomes necessary to explore alternative regions that can compensate for the decline in wheat production and supply. This study focuses on wheat production and yield in major producing countries, utilizing the GYGA (Global Yield Gap Atlas) protocol for predictions. The findings reveal a global wheat production gap of 270,378,793 tons. Notably, the largest gap in irrigated wheat production exists in countries like China, India, Pakistan, Turkey, Iran, Afghanistan, Uzbekistan, Egypt, and Azerbaijan. Additionally, the rainfed wheat production gap on a global scale amounts to 545,215,692 tons, with Russia, the USA, Kazakhstan, Australia, Ukraine, China, Turkey, Canada, India, and France having the most significant production gaps. Through boundary line analysis, specific criteria were identified for suitable areas of irrigated and rainfed wheat cultivation. For irrigated conditions, the temperature range of 3000 to 7000 GDD (Growing Degree Days) and a temperature seasonality of 3 were determined as favorable. Under rainfed conditions, the suitable areas encompass a temperature range of 2000 to 4000 GDD, an aridity index exceeding 600, and a temperature seasonality of 2. Thirteen countries possess extensive agricultural land within the climatic codes favorable for irrigated wheat cultivation. Approximately 50% of the agricultural lands within these countries, corresponding to the total arable area for irrigated wheat, fall within the climatic codes 3403, 5403, 5303, 4303, 5503, 5203, 3503, 3303, and 4103. China, the United States, Ukraine, Russia, and Iran are the top five countries with favorable lands for irrigated wheat cultivation. Similarly, fourteen countries have significant agricultural lands within the favorable climatic codes for rainfed wheat cultivation. Around 52% of the agricultural lands within these countries are within the climatic codes 3702, 2702, 2802, and 4602. France, Germany, Britain, Poland, and Denmark possess the highest potential to expand rainfed wheat cultivation areas within these favorable climate codes, with respective areas of 2.7, 2.6, 1.6, and 0.9 million hectares. According to the study, the North China Plain emerges as a primary region for increasing irrigated wheat production, both in terms of cultivated area and yield potential. For rainfed conditions, the European continent stands out as a significant region to enhance wheat production.

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Section: Methodsmentioning

confidence: 99%

Addressing food insecurity: An exploration of wheat production expansion

Dadrasi,

Chaichi,

Nehbandani

et al. 2023

PLoS ONE

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“…In this context, the applications of process-based ecosystem models are fundamental to evaluate and improve the level of understanding of these systems and predict processes such as plant growth, C dynamics, and carbon dioxide (CO 2 ) flux. The advantages of using process-based ecosystem models are the possibility of extrapolation of the simulations from an experimental site to different sites and climate conditions [6], making it possible to have a consistent evaluation of other production systems [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Intense Pasture Management in Brazil in an Integrated Crop-Livestock System Simulated by the DayCent Model

et al. 2022

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Process-based models (PBM) are important tools for understanding the benefits of Integrated Crop-Livestock Systems (ICLS), such as increasing land productivity and improving environmental conditions. PBM can provide insights into the contribution of agricultural production to climate change and help identify potential greenhouse gas (GHG) mitigation and carbon sequestration options. Rehabilitation of degraded lands is a key strategy for achieving food security goals and can reduce the need for new agricultural land. This study focused on the calibration and validation of the DayCent PBM for a typical ICLS adopted in Brazil from 2018 to 2020. We also present the DayCent parametrization for two forage species (ruzigrass and millet) grown simultaneously, bringing some innovation in the modeling challenges. We used aboveground biomass to calibrate the model, randomly selecting data from 70% of the paddocks in the study area. The calibration obtained a coefficient of determination (R2) of 0.69 and a relative RMSE of 37.0%. During the validation, we used other variables (CO2 flux, grain biomass, and soil water content) measured in the ICLS and performed a double validation for plant growth to evaluate the robustness of the model in terms of generalization. R2 validations ranged from 0.61 to 0.73, and relative RMSE from 11.3 to 48.3%. Despite the complexity and diversity of ICLS results show that DayCent can be used to model ICLS, which is an important step for future regional analyses and large-scale evaluations of the impacts of ICLS.

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