Spatio-temporal patterns of winter wheat yield potential and yield gap during the past three decades in North China

2017 ◽  
Vol 206 ◽  
pp. 11-20 ◽  
Author(s):  
Yi Chen ◽  
Zhao Zhang ◽  
Fulu Tao ◽  
Pin Wang ◽  
Xing Wei
Keyword(s):  
Winter Wheat ◽  
North China ◽  
Wheat Yield ◽  
Temporal Patterns ◽  
Yield Potential ◽  
Yield Gap ◽  
The Past ◽  
Winter Wheat Yield ◽  
Spatio Temporal

scholarly journals The Analysis of Wheat Yield Variability Based on Experimental Data from 2008–2018 to Understand the Yield Gap

Agriculture ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 32
Author(s):  
Elżbieta Wójcik-Gront ◽  
Marzena Iwańska ◽  
Agnieszka Wnuk ◽  
Tadeusz Oleksiak
Keyword(s):  
Winter Wheat ◽  
Plant Breeding ◽  
Management Practices ◽  
Wheat Yield ◽  
Yield Potential ◽  
Yield Variability ◽  
Mineral Fertilization ◽  
Yield Gap ◽  
Potential Yield ◽  
Winter Wheat Yield

Among European countries, Poland has the largest gap in the grain yield of winter wheat, and thus the greatest potential to reduce this yield gap. This paper aims to recognize the main reasons for winter wheat yield variability and shed the light on possible reasons for this gap. We used long-term datasets (2008–2018) from individual commercial farms obtained by the Laboratory of Economics of Seed and Plant Breeding of Plant Breeding and Acclimatization Institute (IHAR)-National Research Institute (Poland) and the experimental fields with high, close to potential yield, in the Polish Post-Registration Variety Testing System in multi-environmental trials. We took into account environment, management and genetic variables. Environment was considered through soil class representing soil fertility. For the crop management, the rates of mineral fertilization, the use of pesticides and the type of pre-crop were considered. Genotype was represented by the independent variable year of cultivar registration or year of starting its cultivation in Poland. The analysis was performed using the CART (Classification and Regression Trees). The winter wheat yield variability was mostly dependent on the amount of nitrogen fertilization applied, soil quality, and type of pre-crop. Genetic variable was also important, which means that plant breeding has successfully increased genetic yield potential especially during the last several years. In general, changes to management practices are needed to lower the variability of winter wheat yield and possibly to close the yield gap in Poland.

scholarly journals Plant Population and Fungicide Economically Reduced Winter Wheat Yield Gap in Kansas

2019 ◽  
Vol 111 (2) ◽  
pp. 650-665 ◽  
Author(s):  
Brent R. Jaenisch ◽  
Amanda de Oliveira Silva ◽  
Erick DeWolf ◽  
Dorivar A. Ruiz-Diaz ◽  
Romulo P. Lollato
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Plant Population ◽  
Yield Gap ◽  
Winter Wheat Yield

Multi-scale assessment of winter wheat yield gaps with an integrated evaluation framework in the Huang-Huai-Hai farming region in China

2019 ◽  
Vol 157 (6) ◽  
pp. 523-536
Author(s):  
S. Li ◽  
J. Liu ◽  
M. Shang ◽  
H. Jia ◽  
Y. Feng ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Wheat Yield ◽  
Evaluation Framework ◽  
High Yield ◽  
Limiting Factor ◽  
Yield Gap ◽  
Multi Scale ◽  
Winter Wheat Yield ◽  
Yield Gaps ◽  
Attainable Yield

AbstractQuantifying reasonable crop yield gaps and determining potential regions for yield improvement can facilitate regional plant structure adjustment and promote crop production. The current study attempted to evaluate the yield gap in a region at multi-scales through model simulation and farmer investigation. Taking the winter wheat yield gap in the Huang-Huai-Hai farming region (HFR) for the case study, 241 farmers’ fields in four typical high-yield demonstration areas were surveyed to determine the yield limitation index and attainable yield. In addition, the theoretical and realizable yield gap of winter wheat in 386 counties of the HFR was assessed. Results showed that the average field yield of the demonstration plots was 8282 kg/ha, accounting for 0.72 of the potential yield, which represented the highest production in the region. The HFR consists of seven sub-regions designated 2.1–2.7: the largest attainable yield gap existed in the 2.6 sub-region, in the southwest of the HFR, while the smallest was in the 2.2 sub-region, in the northwest of the HFR. With a high irrigated area rate, the yield gap in the 2.2 sub-region could hardly be reduced by increasing irrigation, while a lack of irrigation remained an important limiting factor for narrowing the yield gap in 2.3 sub-region, in the middle of the HFR. Therefore, a multi-scale yield gap evaluation framework integrated with typical field survey and crop model analysis could provide valuable information for narrowing the yield gap.

Nighttime Warming Will Increase Winter Wheat Yield Through Improving Plant Development and Grain Growth in North China

2013 ◽  
Vol 33 (2) ◽  
pp. 397-407 ◽  
Author(s):  
Jin Chen ◽  
Yunlu Tian ◽  
Xin Zhang ◽  
Chengyan Zheng ◽  
Zhenwei Song ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Grain Growth ◽  
Plant Development ◽  
North China ◽  
Wheat Yield ◽  
Winter Wheat Yield ◽  
Nighttime Warming
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