Suitable nitrogen application mode and lateral spacing for drip-irrigated winter wheat in North China Plain

Zain, Muhammad; Si, Zhuanyun; Chen, Jinsai; Mehmood, Faisal; Rahman, Shafeeq Ur; Shah, Adnan Noor; Li, Sen; Gao, Yang; Duan, Aiwang

doi:10.1371/journal.pone.0260008

Cited by 7 publications

(3 citation statements)

References 37 publications

(45 reference statements)

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“…The phenological stage dataset included emergence, three-leaf stage, tillering, elongation, booting, heading, anthesis, medium milk, and maturity at the Xinxiang station between 2001 and 2013. The soil data used to run the model and calibrate the soil parameters were obtained from Zain et al. (2021) and included soil water and nitrogen distribution during the winter wheat growth periods between 2017 and 2019.…”

Section: Methodsmentioning

confidence: 99%

Responses of wheat kernel weight to diverse allelic combinations under projected climate change conditions

et al. 2023

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IntroductionIn wheat, kernel weight (KW) is a key determinant of grain yield (GY). However, it is often overlooked when improving wheat productivity under climate warming. Moreover, little is known about the complex effects of genetic and climatic factors on KW. Here, we explored the responses of wheat KW to diverse allelic combinations under projected climate warming conditions.MethodsTo focus on KW, we selected a subset of 81 out of 209 wheat varieties with similar GY, biomass, and kernel number (KN) and focused on their thousand-kernel weight (TKW). We genotyped them at eight kompetitive allele-specific polymerase chain reaction markers closely associated with TKW. Subsequently, we calibrated and evaluated the process-based model known as Agricultural Production Systems Simulator (APSIM-Wheat) based on a unique dataset including phenotyping, genotyping, climate, soil physicochemistry, and on-farm management information. We then used the calibrated APSIM-Wheat model to estimate TKW under eight allelic combinations (81 wheat varieties), seven sowing dates, and the shared socioeconomic pathways (SSPs) designated SSP2-4.5 and SSP5-8.5, driven by climate projections from five General Circulation Models (GCMs) BCC-CSM2-MR, CanESM5, EC-Earth3-Veg, MIROC-ES2L, and UKESM1-0-LL.ResultsThe APSIM-Wheat model reliably simulated wheat TKW with a root mean square error (RMSE) of < 3.076 g TK-1 and R2 of > 0.575 (P < 0.001). The analysis of variance based on the simulation output showed that allelic combination, climate scenario, and sowing date extremely significantly affected TKW (P < 0.001). The impact of the interaction allelic combination × climate scenario on TKW was also significant (P < 0.05). Meanwhile, the variety parameters and their relative importance in the APSIM-Wheat model accorded with the expression of the allelic combinations. Under the projected climate scenarios, the favorable allelic combinations (TaCKX-D1b + Hap-7A-1 + Hap-T + Hap-6A-G + Hap-6B-1 + H1g + A1b for SSP2-4.5 and SSP5-8.5) mitigated the negative effects of climate change on TKW.DiscussionThe present study demonstrated that optimizing favorable allelic combinations can help achieve high wheat TKW. The findings of this study clarify the responses of wheat KW to diverse allelic combinations under projected climate change conditions. Additionally, the present study provides theoretical and practical reference for marker-assisted selection of high TKW in wheat breeding.

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Section: Methodsmentioning

confidence: 99%

Responses of wheat kernel weight to diverse allelic combinations under projected climate change conditions

et al. 2023

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“…For instance, in Xinjiang Province, the area of micro-irrigated maize and wheat was 0.033×10 6 ha in 2009 (CIDDC, 2022), although wheat dominated, accounting for 0.031 × 10 6 ha of the aforementioned area (Wang et al, 2011). Meanwhile, some scholars have conducted research on micro-irrigated maize (Bai and Gao, 2021;Guo et al, 2021) and wheat Zain et al, 2021) in China, especially in the north. Therefore, the water consumption rates of these staple crops using different irrigation management techniques under future climate change scenarios should be closely monitored to ensure water supply and food crop production security in China and worldwide.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal responses of the crop water footprint and its associated benchmarks under different irrigation regimes to climate change scenarios in China

Yue

Zhuo

et al. 2022

Hydrol. Earth Syst. Sci.

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Abstract. Adaptation to future climate change with limited water resources is a major global challenge to sustainable and sufficient crop production. However, the large-scale responses of the crop water footprint and its associated benchmarks under various irrigation regimes to future climate change scenarios remain unclear. The present study quantified the responses of the maize and wheat water footprint (WF) per unit yield (m3 t−1) as well as the corresponding WF benchmarks under two Representative Concentration Pathway (RCP) scenarios, RCP2.6 and RCP8.5, in the 2030s, 2050s, and 2080s at a 5 arcmin grid level in China. The AquaCrop model with the outputs of six global climate models from Phase 5 of the Coupled Model Intercomparison Project (CMIP5) as its input data was used to simulate the WFs of maize and wheat. The differences among rain-fed wheat and maize and furrow-, micro-, and sprinkler-irrigated wheat and maize were identified. Compared with the baseline year (2013), the maize WF will increase under both RCP2.6 and RCP8.5 (by 17 % and 13 %, respectively) until the 2080s. The wheat WF will increase under RCP2.6 (by 12 % until the 2080s) and decrease (by 12 %) under RCP8.5 until the 2080s, with a higher increase in the wheat yield and a decrease in the wheat WF due to the higher CO2 concentration in 2080s under RCP8.5. The WF will increase the most for rain-fed crops. Relative to rain-fed crops, micro-irrigation and sprinkler irrigation result in the smallest increases in the WF for maize and wheat, respectively. These water-saving management techniques will mitigate the negative impact of climate change more effectively. The WF benchmarks for maize and wheat in the humid zone (an approximate overall average of 680 m3 t−1 for maize and 873 m3 t−1 for wheat at the 20th percentile) are 13 %–32 % higher than those in the arid zone (which experiences an overall average of 601 m3 t−1 for maize and 753 m3 t−1 for wheat). The differences in the WF benchmarks among various irrigation regimes are more significant in the arid zone, where they can be as high as 57 % for the 20th percentile: WF benchmarks of 1020 m3 t−1 for sprinkler-irrigated wheat and 648 m3 t−1 for micro-irrigated wheat. Nevertheless, the WF benchmarks will not respond to climate changes as dramatically as the WF in the same area, especially in areas with limited agricultural development. The present study demonstrated that the observed different responses to climate change in terms of crop water consumption, water use efficiency, and WF benchmarks under different irrigation regimes cannot be ignored. It also lays the foundation for future investigations into the influences of irrigation methods, RCPs, and crop types on the WF and its benchmarks in response to climate change in all agricultural regions worldwide.

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“…The PLOS ONE Editors retract this article [ 1 ] because it was identified as one of a series of submissions for which we have concerns about authorship, competing interests, and peer review. We regret that the issues were not addressed prior to the article’s publication.…”

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Retraction: Suitable nitrogen application mode and lateral spacing for drip-irrigated winter wheat in North China Plain

2022

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Suitable nitrogen application mode and lateral spacing for drip-irrigated winter wheat in North China Plain

Cited by 7 publications

References 37 publications

Responses of wheat kernel weight to diverse allelic combinations under projected climate change conditions

Responses of wheat kernel weight to diverse allelic combinations under projected climate change conditions

Spatiotemporal responses of the crop water footprint and its associated benchmarks under different irrigation regimes to climate change scenarios in China

Retraction: Suitable nitrogen application mode and lateral spacing for drip-irrigated winter wheat in North China Plain

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