Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment

Dueri, Sibylle; Brown, Hamish E.; Asseng, Senthold; Ewert, Frank; Webber, Heidi; George, Mike; Craigie, R. A.; Guarin, Jose Rafael; Pequeno, Diego Noleto Luz; Stella, Tommaso; Ahmed, Mukhtar; Alderman, Phillip D.; Basso, Bruno; Berger, Andrés G.; Bracho‐Mujica, Gennady; Cammarano, Davide; Chen, Yi; Dumont, Benjamin; Rezaei, Ehsan Eyshi; Fereres, E.; Ferrise, Roberto; Gaiser, Thomas; Gao, Yujing; García-Vila, Margarita; Gayler, Sebastian; Hochman, Zvi; Hoogenboom, Gerrit; Kersebaum, Kurt Christian; Nendel, Claas; Olesen, Jørgen E.; Padovan, Gloria; Palosuo, Taru; Priesack, Eckart; Pullens, Johannes Wilhelmus Maria; Rodríguez, Alfredo; Rötter, Reimund P.; Ramos, Margarita Ruiz; Semenov, Mikhail A.; Senapati, Nimai; Siebert, Stefan; Srivastava, Amit Kumar; Stöckle, Claudio O.; Supit, Iwan; Tao, Fulu; Thorburn, Peter J.; Wang, Enli; Weber, Tobias K. D.; Xiao, Liujun; Zhao, Chuang; Zhao, Jin; Zhao, Zhigan; Zhu, Yan; Martre, Pierre

doi:10.1093/jxb/erac221

Cited by 17 publications

(4 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Crop growth models (CGMs) play a pivotal role in simulating crop growth, predicting yield, and assessing the effects of climate change and cultivation practices on yield formation (Dueri et al, 2022; Liu et al, 2019; Tang et al, 2023; Ye et al, 2020). However, CGMs may not adequately predict plant phenotype as consequence of genotype × environment × management (G × E × M) interactions for many key adaptive traits.…”

Section: Introductionmentioning

confidence: 99%

Development of a Two-Leaf Photosynthetic Model Sensitive to Chlorophyll and Its Coupling with a Wheat Growth Model

Tang,

Wang,

Hong

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

Crop growth models (CGMs) commonly simulates the response of photosynthetic rate to nitrogen (N) dynamic by calculating critical N concentration. However, critical N concentration makes it hard to describe the physiological effect of N dynamic on photosynthesis. Meanwhile, the effect of diffuse light on photosynthesis was limited in previous studies. In this study, we introduced a Two-leaf Photosynthetic Model Sensitive to Chlorophyll Content (TPMSCC) and coupled it with the crop growth model (WheatGrow) to enhance our understanding of how N dynamic and diffuse light affects photosynthesis. By coupling the Farquhar-von Caemmerer-Berry (FvCB) C3 photosynthesis model with a canopy radiative transfer model (PROSAIL), TPMSCC simulated the light interception of direct and diffuse light, and employed leaf chlorophyll content (LCC) to simulate the light absorption and electron transfer rate of leaves. Result showed that TPMSCC well simulated the light absorption of the wheat canopy and found the canopy photosynthetic rate benefited from the increase of diffuse radiation fraction (DRF) except for when the condition of a dense canopy at a high solar zenith angle was present. Research found the logarithmic and linear relationships of LCC to the initial light use efficiency (α) and the maximum photosynthetic rate (Amax), respectively, which followed the field measurements. Additionally, the optimized WheatGrow model outperforms its predecessor in describing the response of N application rate on photosynthesis.

show abstract

Section: Introductionmentioning

confidence: 99%

Development of a Two-Leaf Photosynthetic Model Sensitive to Chlorophyll and Its Coupling with a Wheat Growth Model

Tang,

Wang,

Hong

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…A study by Neupane et al [5] has indicated that as a result of climate change, many crops may show reduced yields, especially in regions with insufficient precipitation. Dueri et al [6] have confirmed that climate changes can reduce cereal yields, requiring adjustments to agronomic recommendations (e.g., sowing date, sowing density, etc. ), such as those for winter wheat.…”

Section: Introductionmentioning

confidence: 99%

Response of Winter Wheat to Delayed Sowing and Varied Nitrogen Fertilization

Jarecki

2024

Agriculture

View full text Add to dashboard Cite

Common wheat is one of the most important cereal crops in the world. In cultivation, winter, spring, and facultative varieties of this species are known. In wheat agronomy, timely sowing and optimal nitrogen fertilization are particularly crucial practices, as both significantly impact yield and grain quality. In a three-year field experiment, the response of the winter wheat variety RGT Kilimanjaro to two sowing dates (recommended and delayed by 30 days) and varied nitrogen fertilization levels (100 kg ha−1, 150 kg ha−1, and 200 kg ha−1) was investigated. It was shown that the difference in grain yield between 2021 and 2023 amounted to 0.74 kg ha−1. The application of 200 N kg ha−1 significantly increased the Soil Plant Analysis Development (SPAD) index and Leaf Area Index (LAI) compared to the variant with a delayed sowing date and a nitrogen dose of 100 kg ha−1. Yield components (number of spikes per square meter, thousand grain weight) and grain yield were highest when wheat was sown at the recommended date and with the application of either 150 or 200 N kg ha−1. The number of grains per spike significantly varied between the variant with the recommended sowing date and a dose of 200 N kg ha−1 and the variant with a delayed sowing date and a dose of 100 N kg ha−1. The lowest grain yield was obtained at a 30-day late wheat sowing date when applying 100 N kg ha−1. The protein content in the grain was primarily influenced by nitrogen fertilization. Therefore, it can be concluded that delaying the sowing date of winter wheat by 30 days results in a decrease in grain yield but can be compensated by increased nitrogen fertilization. The most favorable economic effects were achieved with the application of 150 N kg ha−1 at the recommended sowing date. Considering that high doses of nitrogen fertilization can have adverse effects on the natural environment, research in this area should be continued.

show abstract

“…Also, grain quality is a complex trait that depends on different other traits, where the contribution of each trait further depends on environmental conditions [26]. To cope with climatic changes, it is necessary to work on genetic improvement and agronomical management adaptation to increase wheat productivity [27].…”

Section: Introductionmentioning

confidence: 99%

Some Agronomic Properties of Winter Wheat Genotypes Grown at Different Locations in Croatia

Spanic,

Jukic,

Zoric

et al. 2023

Agriculture

View full text Add to dashboard Cite

A collection of fourteen winter wheat accessions was evaluated to describe agro-morphological traits over a two-year study at four locations. Changes in grain yield, test weight, and plant height were related to differences in growing seasons, locations, genotypes, and their interactions. Thus, some genotypes are suitable for one location but not for another. However, a PCA showed that genotypes 2, 26, 28, 32, and 31 were the most stable across environments. In the 2022/2023 season, a negative relationship was observed between septoria leaf blotch, septoria nodorum blotch, yellow rust, fusarium head blight, and grain yield. Grain yield decreased by 84.8, 72.3, 37.4, and 4.3% in Kutjevo, Osijek, Tovarnik, and Zagreb, respectively, compared to the 2021/2022 season. Additionally, in the 2022/2023 season, barley yellow dwarf virus weakened wheat plants, especially at the locations Kutjevo, Tovarnik, and Osijek, where a relationship was observed with septoria leaf blotch and powdery mildew. At the Zagreb location, wheat genotypes were planted at the latest sowing date, probably escaping the virus pressure after plants easily tolerated diseases, resulting in a significantly higher mean grain yield.

show abstract

Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment

Cited by 17 publications

References 39 publications

Development of a Two-Leaf Photosynthetic Model Sensitive to Chlorophyll and Its Coupling with a Wheat Growth Model

Development of a Two-Leaf Photosynthetic Model Sensitive to Chlorophyll and Its Coupling with a Wheat Growth Model

Response of Winter Wheat to Delayed Sowing and Varied Nitrogen Fertilization

Some Agronomic Properties of Winter Wheat Genotypes Grown at Different Locations in Croatia

Contact Info

Product

Resources

About