Effects of warming and drought stress on winter wheat in Jiangsu Province, China

Sha, Huimin; Qi, Liqun; Sun, Xueying; Hu, Zhenghua; Qiao, Yunfeng; Wen-hui, MA; Wang, Xiaoyu

doi:10.1002/agj2.21010

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…Similarly, the maximum reduction in DM was obtained under severe combined stress (25% FC at 35°C) mainly for Hmira and Karim. These results are in complete accordance with several other studies for the variety Karim [ 98 – 100 ]. Indeed, a reduction in the hydration of durum wheat induces a reduction in biomass [ 101 – 103 ].…”

Section: Discussionsupporting

confidence: 93%

Genetic diversity of durum wheat (Triticum turgidum ssp. durum) to mitigate abiotic stress: Drought, heat, and their combination

Chaouachi,

Marín-Sanz,

Barro

et al. 2024

PLoS ONE

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Drought and heat are the main abiotic constraints affecting durum wheat production. This study aimed to screen for tolerance to drought, heat, and combined stresses in durum wheat, at the juvenile stage under controlled conditions. Five durum wheat genotypes, including four landraces and one improved genotype, were used to test their tolerance to abiotic stress. After 15 days of growing, treatments were applied as three drought levels (100, 50, and 25% field capacity (FC)), three heat stress levels (24, 30, and 35°C), and three combined treatments (100% FC at 24°C, 50% FC at 30°C and 25% FC at 35°C). The screening was performed using a set of morpho-physiological, and biochemical traits. The results showed that the tested stresses significantly affect all measured parameters. The dry matter content (DM) decreased by 37.1% under heat stress (35°C), by 37.3% under severe drought stress (25% FC), and by 53.2% under severe combined stress (25% FC at 35°C). Correlation analyses of drought and heat stress confirmed that aerial part length, dry matter content, hydrogen peroxide content, catalase, and Glutathione peroxidase activities could be efficient screening criteria for both stresses. The principal component analysis (PCA) showed that only the landrace Aouija tolerated the three studied stresses, while Biskri and Hedhba genotypes were tolerant to drought and heat stresses and showed the same sensitivity under combined stress. Nevertheless, improved genotype Karim and the landrace Hmira were the most affected genotypes by drought, against a minimum growth for the Hmira genotype under heat stress. The results showed that combined drought and heat stresses had a more pronounced impact than simple effects. In addition, the tolerance of durum wheat to drought and heat stresses involves several adjustments of morpho-physiological and biochemical responses, which are proportional to the stress intensity.

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Section: Discussionsupporting

confidence: 93%

Genetic diversity of durum wheat (Triticum turgidum ssp. durum) to mitigate abiotic stress: Drought, heat, and their combination

Chaouachi,

Marín-Sanz,

Barro

et al. 2024

PLoS ONE

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“…Sha et al. (2022) analyzed the effects of warming and drought on winter wheat yield and dry matter accumulation. They concluded that highest yield wheat reduction rate was 25.5% under the condition of single warming, and the yield reduction rate increased by 5% when the soil relative humidity decreased by 10% under short‐term drought.…”

Section: Resultsmentioning

confidence: 99%

“…Agricultural technologies must adapt quickly to F I G U R E 3 Main components of new technologies overcome potential environmental issue, such as warming and drought stress. Sha et al (2022) analyzed the effects of warming and drought on winter wheat yield and dry matter accumulation. They concluded that highest yield wheat reduction rate was 25.5% under the condition of single warming, and the yield reduction rate increased by 5% when the soil relative humidity decreased by 10% under short-term drought.…”

Section: Environmental Factors Affecting Crop Production and Qualitymentioning

confidence: 99%

Agricultural sciences and the environment: Reviewing recent technologies and innovations to combat the challenges of climate change, environmental protection, and food security

Popescu

Khondker

et al. 2022

Agronomy Journal

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Agricultural production systems currently face multiple challenges: Climate change, natural resource depletion, and supply chain disruption, together with global population growth. As sustainable agriculture must simultaneously deliver myriad services (e.g. provide food security, maintain natural resources, retain and improve framers' profitability, and sustain biodiversity), a systemic and multidisciplinary approach is thus needed. In this context, new technologies based on sensors, automatic machines, robots, and digital applications show much potential. The special section of the Agronomy Journal, entitled, "Agricultural and Biological Sciences: Plant, Soil, Animal and Environment Nutrient Management," brings together a coherent set of research studies. All papers published in this special section address current, relevant topics for agriculture, biology and environmental sciences with a multidisciplinary approach aimed at generating new scientific information on digital technologies, bioinformatics, plant science, soil resources, agricultural waste, and environmentally conscious approaches. A total of 58 papers were submitted, each of which was evaluated by expert reviewers using a double-blind reviewing process and 25 full text papers were accepted for publication in the special section. The present paper highlights the findings of the published papers, with the aim of bringing cuttingedge innovation to applied research in agriculture and biology. The published papers here provide new knowledge and viable solutions for better performance in agricultural and biological sciences. New technologies will change the concept of farming and agribusiness making it more profitable, efficient, safer, attractive, simple, smart, and finally sustainable. Rural development and food security policies must support and finance the easiest possible access to new technologies for agricultural producers.

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“…Three DSSAT-Wheat models have been used to quantify the impact of water management practices on crop water stress and wheat yield (Jing et al, 2021). The WOFOST model has been used to study the effects of warming and drought on winter wheat yield and dry matter accumulation in Jiangsu Province from 2008 to 2017 (Sha et al, 2022). Wu et al (2019) used the Agricultural Production System Simulator (APSIM) model to investigate the response mechanism of wheat yield to long-term drought stress in southwest China.…”

Section: Introductionmentioning

confidence: 99%

Simulation Study on the Response of Yield and Water Use Efficiency in Spring Wheat to Water Stress at Different Growth Stages Using the APSIM Model

Wang

2024

Preprint

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Water scarcity is the major limiting factor to crop production in the hilly and gully Loess Plateau of central Gansu. A better understanding of the response of crops to the intensity and timing of water stress at different growth stages is helpful for optimizing agricultural production management systems under water-limited conditions. Based on the field experiment at Anding District, Dingxi City, the suitability of the Agricultural Production System Simulator (APSIM) model for simulating spring wheat yield, yield composition, and changes in soil water content under water stress, quantifying the effects of intensity and timing of water stress on yield, water consumption, and water use efficiency (WUE) in spring wheat, and identifying the most sensitive stage of spring wheat to water stress was verified. The results showed that the root mean square error values of the grain numbers, 1000-grain weight, yield, and soil water content of the APSIM model were less than 252.31 number/m2, 1.55 g, 170.26 kg/ha, and 1.73%, respectively. The normalized root mean square error values were less than 6.49, 5.92, 6.03, and 13.78%, respectively. The model effectiveness index values were higher than 0.64, 0.51, 0.52, and 0.50, respectively. The APSIM model had good adaptability to water stress in the study area. Further, the jointing stage was the most sensitive growth period for the water deficit of spring wheat in the study area, and this growth period had the greatest impact on spring wheat yield due to drought. The yield showed a trend of first increasing and then decreasing as irrigation increased. When the irrigation amount reached 300 mm, it reached a maximum value of 4866.19 kg/ha. Notably, WUE achieved a maximum value of 12.32 kg/ha with water stress at the tillering stage, followed by the emergence, jointing, heading, flowering, and grain filling stages. WUE showed a trend of first increasing and then decreasing as irrigation increased. When the irrigation amount reached 300 mm, it reached a maximum value of 15.03 kg/ha. Finally, the variations in yield and WUE with changed water consumption were not synchronous. WUE was at a maximum when irrigation was reduced in regions with severe water shortages, and the yield achieved a maximum with increasing irrigation in regions with relatively abundant water resources. In general, the jointing and grain filling stages were critical times for field irrigation management for spring wheat. Reasonable field irrigation management should be applied at these two growth stages to guarantee a higher yield and WUE of spring wheat in the hilly and gully Loess Plateau of central Gansu.

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Effects of warming and drought stress on winter wheat in Jiangsu Province, China

Cited by 4 publications

References 15 publications

Genetic diversity of durum wheat (Triticum turgidum ssp. durum) to mitigate abiotic stress: Drought, heat, and their combination

Genetic diversity of durum wheat (Triticum turgidum ssp. durum) to mitigate abiotic stress: Drought, heat, and their combination

Agricultural sciences and the environment: Reviewing recent technologies and innovations to combat the challenges of climate change, environmental protection, and food security

Simulation Study on the Response of Yield and Water Use Efficiency in Spring Wheat to Water Stress at Different Growth Stages Using the APSIM Model

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