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Featured researches published by Yabing Li.


PLOS ONE | 2014

Light spatial distribution in the canopy and crop development in cotton.

Xiaoyu Zhi; Yingchun Han; Shuchun Mao; Guoping Wang; Lu Feng; Beifang Yang; Zhengyi Fan; Wenli Du; Jianhua Lu; Yabing Li

The partitioning of light is very difficult to assess, especially in discontinuous or irregular canopies. The aim of the present study was to analyze the spatial distribution of photosynthetically active radiation (PAR) in a heterogeneous cotton canopy based on a geo-statistical sampling method. Field experiments were conducted in 2011 and 2012 in Anyang, Henan, China. Field plots were arranged in a randomized block design with the main plot factor representing the plant density. There were 3 replications and 6 densities used in every replicate. The six plant density treatments were 15,000, 33,000, 51,000, 69,000, 87,000 and 105,000 plants ha−1. The following results were observed: 1) transmission within the canopy decreased with increasing density and significantly decreased from the top to the bottom of the canopy, but the greatest decreases were observed in the middle layers of the canopy on the vertical axis and closing to the rows along the horizontal axis; 2) the transmitted PAR (TPAR) of 6 different cotton populations decreased slowly and then increased slightly as the leaves matured, the TPAR values were approximately 52.6–84.9% (2011) and 42.7–78.8% (2012) during the early cotton developmental stage, and were 33.9–60.0% (2011) and 34.5–61.8% (2012) during the flowering stage; 3) the Leaf area index (LAI) was highly significant exponentially correlated (R2 = 0.90 in 2011, R2 = 0.91 in 2012) with the intercepted PAR (IPAR) within the canopy; 4) and a highly significant linear correlation (R2 = 0.92 in 2011, R2 = 0.96 in 2012) was observed between the accumulated IPAR and the biomass. Our findings will aid researchers to improve radiation-use efficiency by optimizing the ideotype for cotton canopy architecture based on light spatial distribution characteristics.


Scientific Reports | 2017

Response of cotton phenology to climate change on the North China Plain from 1981 to 2012

Zhanbiao Wang; Jing Chen; Fangfang Xing; Yingchun Han; Fu Chen; Lifeng Zhang; Yabing Li; Cundong Li

To identify countermeasures for the impacts of climate change on crop production, exploring the changes in crop phenology and their relationship to climate change is required. This study was based on cotton phenology and climate data collected from 13 agro-meteorological experimental stations and 13 meteorological stations on the North China Plain from 1981 to 2012. Spatiotemporal trends in the cotton phenology data, lengths of the different growing phases, mean temperatures, and rainfall were analyzed. These results indicated that warming accelerated cotton growth, advanced cotton phenology, and shortened the growing period of cotton. However, harvest dates were significantly delayed at 8 (61.5%) stations, the length of both the flowering-boll opening and boll opening-harvest periods increased at 10 (77.0%) stations, and a positive correlation was found between the mean temperature and the length of the whole growing period at 10 (77.0%) stations. Therefore, cotton practices and cultivars on the North China Plain should be adjusted accordingly. The response of cotton phenology to climate change, as shown here, can further guide the development of options for the adaptation of cotton production in the near future.


PLOS ONE | 2017

Optimizing nitrogen application rate and plant density for improving cotton yield and nitrogen use efficiency in the North China Plain.

Pengcheng Li; Helin Dong; Cangsong Zheng; Miao Sun; Aizhong Liu; Guoping Wang; Shaodong Liu; Siping Zhang; Jing Chen; Yabing Li; Chaoyou Pang; Xinhua Zhao; P. Pardha-Saradhi

Plant population density (PPD) and nitrogen (N) application rate (NAR) are two controllable factors in cotton production. We conducted field experiments to investigate the effects of PPD, NAR and their interaction (PPD × NAR) on yield, N uptake and N use efficiency (NUE) of cotton using a split-plot design in the North China Plain during 2013 and 2014. The main plots were PPDs (plants m−2) of 3.00 (low), 5.25 (medium) and 7.50 (high) and the subplots were NARs of 0 (N-free), 112.5 (low), 225.0 (moderate) and 337.5 (high). During both 2013 and 2014, biological yield and N uptake of cotton increased significantly, but harvesting index decreased significantly with NAR and PPD increasing. With NAR increasing, internal nitrogen use efficiency(NUE) decreased significantly under three PPDs and agronomical NUE, physiologilal NUE, nitrogen recovery efficiency(NRE) and partial factor productivity from applied nitrogen (PFPN) also decreased significantly under high PPD between two years. Lint yield increment varied during different PPDs and years, but NAR enhancement showed less function under higher PPD than lower PPD in general. Taken together, moderate NAR under medium PPD combined higher lint yield with higher agronomic NUE, physiological NUE, and NRE, while low NAR with high PPD would achieve a comparable yield with superior NRE and PFPN and high NAR under high PPD and medium PPD produced higher biological yield but lower harvest index, lint yield and NUE compared to moderate NAR with medium PPD. Our overall results indicated that, in this region, increasing PPD and decreasing NAR properly would enhance both lint yield and NUE of cotton.


PLOS ONE | 2016

Study on Light Interception and Biomass Production of Different Cotton Cultivars

Zhigang Bai; Shuchun Mao; Yingchun Han; Lu Feng; Guoping Wang; Beifang Yang; Xiaoyu Zhi; Zhengyi Fan; Yaping Lei; Wenli Du; Yabing Li

Identifying the characteristics of light interception and utilization is of great significance for improving the potential photosynthetic activity of plants. The present research investigates the differences in absorbing and converting photosynthetically active radiation (PAR) among various cotton cultivars. Field experiments were conducted in 2012, 2013 and 2014 in Anyang, Henan, China. Ten cultivars with different maturity and plant architectures were planted at a density of 60,000 plants ha-1 in randomized blocks, with three replicates. The spatial distribution of light in canopy was measured and quantified with a geo-statistical method, according to which the cumulative amount of intercepted radiation was calculated by Simpson 3/8 rules. Finally, light interception was analyzed in association with the biomass accumulation of different cultivars. The key results were: (1) late-maturing varieties with an incompact plant architecture captured more solar radiation throughout the whole growth period than middle varieties with columnar architecture and even more than early varieties with compact architecture, and they produced more biomass; (2) the highest PAR interception ratio and the maximum biomass accumulation rate occurred during the blossoming and boll-forming stage, when leaf area index (LAI) reached its peak; (3) the distribution within the canopy presented a significant spatial heterogeneity, and at late growing stage, the PAR was mainly intercepted by upper canopies in incompact-type plant communities, but was more homogeneous in columnar-type plants; however, the majority of radiation was transmitted through the canopy in compact-type colonies; (4) there was not a consistent variation relationship between the cumulative intercepted PAR (iPAR) and biomass among these cultivars over the three years of the study. Based on these results, we attempted to clarify the distinction in light spatial distribution within different canopies and the patterns of PAR interception in diverse cotton cultivars with different hereditary characters, thereby providing a significant basis for researchers to select cultivars with appropriate growth period and optimal plant architecture for improvement of light interception and utilization.


PLOS ONE | 2017

Root growth and spatial distribution characteristics for seedlings raised in substrate and transplanted cotton

Xiaoyu Zhi; Yingchun Han; Yabing Li; Guoping Wang; Lu Feng; Beifang Yang; Zhengyi Fan; Yaping Lei; Wenli Du; Shuchun Mao

In this study, transplanting cotton seedlings grown in artificial substrate is considered due to recent increased interest in cotton planting labor saving approaches. The nursery methods used for growing cotton seedlings affect root growth. However, the underlying functional responses of root growth to variations in cotton seedling transplanting methods are poorly understood. We assessed the responses of cotton (Gossypium hirsutum L.) roots to different planting methods by conducting cotton field experiments in 2012 and 2013. A one-factor random block design was used with three replications and three different cotton planting patterns (substrate seedling transplanted cotton (SSTC), soil-cube seedling transplanted cotton (ScSTC) and directly sown cotton (DSC). The distributions and variances of the root area density (RAD) and root length density (RLD) at different cotton growing stages and several yield components were determined. Overall, the following results were observed: 1) The RAD and RLD were greatest near the plants (a horizontal distance of 0 cm) but were lower at W20 and W40 cm in the absence of film mulching than at E20 and E40 cm with film mulching. 2) The roots were confined to shallow depths (20–40 cm), and the root depths of SSTC and DSC were greater than the root depths of ScSTC. 3) Strong root growth was observed in the SSTC at the cotton flowering and boll setting stages. In addition, early onset root growth occurred in the ScSTC, and vigorous root growth occurred throughout all cotton growth stages in DSC. 4) The SSTC plants had more lateral roots with higher root biomass (RB) than the ScSTC, which resulted in higher cotton yields. However, the early onset root growth in the ScSTC resulted in greater pre-frost seed cotton (PFSC) yields. These results can be used to infer how cotton roots are distributed in soils and capture nutrients.


Journal of Cleaner Production | 2017

Comparison of greenhouse gas emissions of chemical fertilizer types in China's crop production

Zhanbiao Wang; Jing Chen; Shuchun Mao; Yingchun Han; Fu Chen; Lifeng Zhang; Yabing Li; Cundong Li


Field Crops Research | 2015

Spatial distribution of light interception by different plant population densities and its relationship with yield

Huiyun Xue; Yingchun Han; Yabing Li; Guoping Wang; Lu Feng; Zhengyi Fan; Wenli Du; Beifang Yang; Cougui Cao; Shuchun Mao


Agronomy Journal | 2014

Optimizing Irrigation and Plant Density for Improved Cotton Yield and Fiber Quality

Lu Feng; Garrett Mathis; Glen L. Ritchie; Yinchun Han; Yabing Li; Guoping Wang; Xiaoyu Zhi; Craig Bednarz


Archive | 2011

Layered seedling culturing device

Shuchun Mao; Chunwang Dong; Yingchun Han; Yabing Li; Guoping Wang; Lu Feng; Zhengyi Fan; Xiaoxin Li


Archive | 2012

Cotton flower bud differentiation agent

Yabing Li; Shuchun Mao; Yingchun Han; Guoping Wang; Chunwang Dong; Lu Feng; Zhengzhou Xu; Hesheng Wang

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Shuchun Mao

Huazhong Agricultural University

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Cundong Li

Agricultural University of Hebei

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Fu Chen

China Agricultural University

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Jing Chen

Agricultural University of Hebei

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Lifeng Zhang

Agricultural University of Hebei

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Zhanbiao Wang

Agricultural University of Hebei

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Lu Feng

Civil Aviation Authority of Singapore

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Cougui Cao

Huazhong Agricultural University

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Huiyun Xue

Huazhong Agricultural University

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Weixing Cao

Nanjing Agricultural University

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