Pursuing sustainable high‐yield winter wheat via pre‐anthesis dry matter and nitrogen accumulation by optimizing nitrogen management

2021 ◽  
Author(s):  
Xiaoming He ◽  
Ling Zhang ◽  
Yuncai Hu ◽  
Zhengyuan Liang ◽  
Wei Zhang ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Dry Matter ◽  
Nitrogen Management ◽  
High Yield ◽  
Nitrogen Accumulation

Efficiency of Dry Matter and Nitrogen Accumulation and Redistribution in Wheat as Affected by Tillage and Nitrogen Management

2014 ◽  
Vol 37 (5) ◽  
pp. 723-737 ◽  
Author(s):  
Ahmad Khan ◽  
Mohammad Tariq Jan ◽  
Amanullah Jan ◽  
Zahir Shah ◽  
Mohammad Arif
Keyword(s):  
Dry Matter ◽  
Nitrogen Management ◽  
Nitrogen Accumulation

scholarly journals Comparison of early season crop types for wheat production and nitrogen use efficiency in the Jianghan Plain in China

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11189
Author(s):  
Rui Yang ◽  
Ke Liu ◽  
Shiying Geng ◽  
Chengxiang Zhang ◽  
Lijun Yin ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Nitrogen Use Efficiency ◽  
Cropping Systems ◽  
Cropping System ◽  
Nitrogen Management ◽  
Nitrogen Accumulation ◽  
Jianghan Plain ◽  
Nitrogen Use ◽  
Wheat Production ◽  
Use Efficiency

The rice-wheat (RW) cropping system is one of the most prevalent double-cropping systems used to farm the Jianghan Plain in China. However, it can lead to low wheat yields and reduced nitrogen use efficiency compared with dryland wheat (DW). We evaluated wheat yield and nitrogen use efficiency for two rotations (summer rice-winter wheat and summer soybean-winter wheat) from 2017 to 2019 and applied the results to improve nitrogen management for planting wheat after rice in the Jianghan Plain. Field experiments were conducted over two years with two nitrogen treatments: traditional nitrogen management (M1: 90 kg N ha−1 was applied at sowing and jointing, respectively ) and optimized nitrogen management (M2: 60 kg N ha−1 was applied at sowing, wintering and jointing, respectively). The highest total wheat production was achieved under M2 for both cropping systems and the two-year average yield was 6,128 kg ha−1 in DW and 6,166 kg ha−1 in RW. The spike number in DW was 15% higher than RW in M1 and 13% higher in M2, but the kernel per spike and 1,000-grain weight was lower than RW. The nitrogen accumulation of DW was 24% higher than RW in M1 and 33% in M2. Compared with RW, DW had higher NO3− content in the soil surface layer (0–20 cm) and a higher root length density (RLD) in the deeper layer (40–60 cm), which may account for the higher N uptake in DW. Our results show that the grain yield of RW was comparable to that of DW by optimum nitrogen management. The rice-wheat cropping system combined with optimum nitrogen management may be of economic and agronomic benefit to the wheatbelt in the Jianghan Plain in China.

Effects of nitrogen and radiation on dry matter and nitrogen accumulation in the spike of winter wheat

2004 ◽  
Vol 87 (2-3) ◽  
pp. 221-233 ◽  
Author(s):  
Sabine Demotes-Mainard ◽  
Marie-Hélène Jeuffroy
Keyword(s):  
Winter Wheat ◽  
Dry Matter ◽  
Nitrogen Accumulation

scholarly journals Genomic Prediction and Indirect Selection for Grain Yield in US Pacific Northwest Winter Wheat Using Spectral Reflectance Indices from High-Throughput Phenotyping

2019 ◽  
Vol 21 (1) ◽  
pp. 165 ◽  
Author(s):  
Dennis N. Lozada ◽  
Jayfred V. Godoy ◽  
Brian P. Ward ◽  
Arron H. Carter
Keyword(s):  
Winter Wheat ◽  
Pacific Northwest ◽  
Prediction Accuracy ◽  
Indirect Selection ◽  
Yield Potential ◽  
High Yield ◽  
High Throughput Phenotyping ◽  
Reflectance Indices ◽  
Selection Of ◽  
High Yield Potential

Secondary traits from high-throughput phenotyping could be used to select for complex target traits to accelerate plant breeding and increase genetic gains. This study aimed to evaluate the potential of using spectral reflectance indices (SRI) for indirect selection of winter-wheat lines with high yield potential and to assess the effects of including secondary traits on the prediction accuracy for yield. A total of five SRIs were measured in a diversity panel, and F5 and doubled haploid wheat breeding populations planted between 2015 and 2018 in Lind and Pullman, WA. The winter-wheat panels were genotyped with 11,089 genotyping-by-sequencing derived markers. Spectral traits showed moderate to high phenotypic and genetic correlations, indicating their potential for indirect selection of lines with high yield potential. Inclusion of correlated spectral traits in genomic prediction models resulted in significant (p < 0.001) improvement in prediction accuracy for yield. Relatedness between training and test populations and heritability were among the principal factors affecting accuracy. Our results demonstrate the potential of using spectral indices as proxy measurements for selecting lines with increased yield potential and for improving prediction accuracy to increase genetic gains for complex traits in US Pacific Northwest winter wheat.

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