Calibration and validation of the SWB model for dry beans (Phaseolus vulgaris L.) at different drought stress levels

Mathobo, Rudzani; Marais, D.; Steyn, J. M.

doi:10.1016/j.agwat.2018.02.018

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…The photochemical quenching qP and maximum quantum yield Fv/Fm decreased significantly and NPQ increased slightly in cotton (Gossypium hirsutum) sensitive genotypes during water stress . The value of photochemical quenching coefficient (qP) and reduced electron transport rate of PSII is also decreased in French bean (Phaseolus vulgaris) and the variation in the trapped amount of light energy used in organic acid formation finally reduces the effective quantum yield of photosystem II (ФPSII) [MATHOBO et al 2018].…”

Section: • Changes In Photosynthetic Parameters To Waterlogging Respo...mentioning

confidence: 99%

Journal of Water and Land Development

Sharma,

Soni

et al. 2021

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The natural environment is being drastically affected by climate change. Under these severe environmental conditions, the growth and productivity of agricultural crops have reduced. Due to unpredictable rainfall, crops growing in the field are often exposed to waterlogging. This leads to significant crop damage and production losses. In this review paper, the morphological and physiological adaptations such as development of aerenchyma, adventitious roots, radial root oxygen loss barrier, and changes in chlorophyll fluorescence parameters of crops under waterlogging are discussed. This will help to understand the effects of waterlogging on various crops and their adaptation that promotes crop growth and productivity. To meet the food requirements of a growing population, the development of waterlogging tolerant crops by screening and plant breeding methods is necessary for plant breeders. Better knowledge of physiological mechanisms in response to waterlogging will facilitate the development of techniques and methods to improve tolerance in crops.

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Section: • Changes In Photosynthetic Parameters To Waterlogging Respo...mentioning

confidence: 99%

Journal of Water and Land Development

Sharma,

Soni

et al. 2021

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Unfolding Environmental Repercussions of Land Degradation in the Lone Municipal Council of Andaman, India, Using Geospatial Technologies

Shankar

Purti

Satyakeerthy

et al. 2023

Land and Environmental Management Through Forestry

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Calibration and Evaluation of the SIMPLE Crop Growth Model Applied to the Common Bean under Irrigation

Servín-Palestina,

López-Cruz,

Zegbe

et al. 2024

Agronomy

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Bean production is at risk due to climate change, declining water resources, and inadequate crop management. To address these challenges, dynamic models that predict crop growth and development can be used as fundamental tools to generate basic and applied knowledge such as production management and decision support. This study aimed to calibrate and evaluate the SIMPLE model under irrigation conditions for a semi-arid region in north-central Mexico and to simulate thermal time, biomass (Bio), and grain yield (GY) of common beans cv. ‘Pinto Saltillo’ using experimental data from four crop evapotranspiration treatments (ETct) (I50, I75, I100, and I125) applied during the 2020 and 2021 growing seasons. Both experiments were conducted in a randomized complete block design with three replicates. Model calibration was carried out by posing and solving an optimization problem with the differential-evolution algorithm with 2020 experimental data, while the evaluation was performed with 2021 experimental data. For Bio, calibration values had a root-mean-square error and Nash and Sutcliffe’s efficiency of <0.58 t ha−1 and >0.93, respectively, while the corresponding evaluation values were <1.80 t ha−1 and >0.89, respectively. The I50 and I100 ETct had better fit for calibration, while I50 and I75 had better fit in the evaluation. On average, the model fitted for the predicted GY values had estimation errors of 37% and 22% for the calibration and evaluation procedures, respectively. Therefore, an empirical model was proposed to estimate the harvest index (HI), which produced, on average, a relative error of 6.9% for the bean-GY estimation. The SIMPLE model was able to predict bean biomass under irrigated conditions for these semi-arid regions of Mexico. Also, the use of both crop Bio and transpiration simulated by the SIMPLE model to calculate the HI significantly improved GY prediction under ETct. However, the harvest index needs to be validated under other irrigation levels and field experiments in different locations to strengthen the proposed model and design different GY scenarios under water restrictions for irrigation due to climate change.

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Calibration and validation of the SWB model for dry beans (Phaseolus vulgaris L.) at different drought stress levels

Cited by 3 publications

References 20 publications

Journal of Water and Land Development

Journal of Water and Land Development

Unfolding Environmental Repercussions of Land Degradation in the Lone Municipal Council of Andaman, India, Using Geospatial Technologies

Calibration and Evaluation of the SIMPLE Crop Growth Model Applied to the Common Bean under Irrigation

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