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Does nitrogen application rate affect the moisture content of corn grains?

Journal of Integrative Agriculture 2021年第10期20卷 2627-2638页

作者： ZHANG Yuan-meng XUE Jun ZHAI Juan Zhang Guo-qiang ZHANG Wan-xu WANG Ke-ru MING Bo HOU Peng XIE Rui-zhi LIU Chao-wei LI Shao-kun Key Laboratory of Oasis Eco-Agriculture Xinjiang Production and Construction Corps/Agricultural CollegeShihezi UniversityShihezi 832000P.R.China Institute of Crop Sciences Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and EcologyMinistry of Agriculture and Rural AffairsBeijing 100081P.R.China

Nitrogen fertilizer application is an important measure to obtain high and stable corn yield,and the moisture content of corn grains is an important factor affecting the quality of mechanical grain harvesting.In this study,four different nitrogen fertilizer treatments from 0 to 450 kg ha^(–1) pure nitrogen were set for a planting density of 12.0×10^(4) plants ha^(–1) in 2017 and 2018,and 18 different nitrogen fertilizer treatments from 0 to 765 kg ha^(–1) pure nitrogen were set for planting densities of 7.5×10^(4) and 12.0×10^(4) plants ha^(–1) in 2019,to investigate the effect of nitrogen application rate on the moisture content of corn grains.Under each treatment,the growth of corn,leaf area index(LAI)of green leaves,grain moisture content,and grain dehydration rate were measured.The results showed that,as nitrogen application increased from 0 to 765 kg ha^(–1),the silking stage was delayed by about 1 day,the maturity stage was delayed by about 1–2 days,and the number of physiologically mature green leaves and LAI increased.At and after physiological maturity,the extreme difference in grain moisture content between different nitrogen application rates was 1.9–4.0%.As the amount of nitrogen application increased,the corn grain dehydration rate after physiological maturity decreased,but it did not reach statistical significance between nitrogen application rate and grain dehydration rate.No significant correlation was observed between LAI at physiological maturity and grain dehydration rate after physiological maturity.In short,nitrogen application affected the grain moisture content of corn at and after physiological maturity,however,the difference in grain moisture content among different nitrogen application rates was small.These results suggest that the effect of nitrogen application on the moisture content of corn grains should not be considered in agricultural production.

关键词： nitrogen corn grain moisture content leaf area index physiological maturity

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Carbon sequestration capability of Fagus sylvatica forests developing in the Majella National Park (Central Apennines,Italy)

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Journal of Forestry Research 2018年第6期29卷 1627-1634页

作者： Loretta Gratani Luciano Di Martino Anna Rita Frattaroli ANDrea Bonito Valter Di Cecco Walter De Simone Giorgia Ferella Rosangela Catoni Department of Environmental Biology Sapienza University of Rome Majella Seed Bank Majella National Park Department of Life Health and Environmental Sciences University of L'Aquila

Terrestrial ecosystems represent a major sink for atmospheric carbon(C) and temperate forests play an important role in global C cycling, contributing to lower atmospheric carbon dioxide(CO2) concentration through photosynthesis. The Intergovernmental Panel of Climate Change highlights that the forestry sector has great potential to decrease atmospheric CO2concentration compared to other sectoral mitigation activities. The aim of this study was to evaluate CO2sequestration(CO2S)capability of Fag us sylvatica(beech) growing in the Orfento Valley within Majella National Park(Abruzzo,Italy). We compared F. sylvatica areas subjected to thinning(one high-forest and one coppice) and no-management areas(two high-forests and two coppices). The results show a mean CO2S of 44.3 ± 2.6 Mg CO2ha-1a-1,corresponding to 12.1 ± 0.7 Mg C ha-1a-1the no-managed areas having a 28% higher value than the managed areas. The results highlight that thinning that allows seed regeneration can support traditional management practices such as civic use in some areas while no management should be carried out in the reserve in order to give priority to the objective of conservation and naturalistic improvement of the forest heritage.

关键词： Beech Carbon sequestration Coppice High-forest leaf area index

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Estimating grassland LAI using the Random Forests approach and Landsat imagery in the meadow steppe of Hulunber, China

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Journal of Integrative Agriculture 2017年第2期16卷 286-297页

作者： LI Zhen-wang XIN Xiao-ping TANG Huan YANG Fan CHEN Bao-rui ZHANG Bao-hui National Hulunber Grassland Ecosystem Observation and Research Station Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing 100081 P.R. China

leaf area index （LAI） is a key parameter for describing vegetation structures and is closely associated with vegetative photosynthesis and energy balance. The accurate retrieval of LAI is important when modeling biophysical processes of vegetation and the productivity of earth systems. The Random Forests （RF） method aggregates an ensemble of deci- sion trees to improve the prediction accuracy and demonstrates a more robust capacity than other regression methods. This study evaluated the RF method for predicting grassland LAI using ground measurements and remote sensing data. Parameter optimization and variable reduction were conducted before model prediction. Two variable reduction methods were examined： the Variable Importance Value method and the principal component analysis （PCA） method. Finally, the sensitivity of RF to highly correlated variables was tested. The results showed that the RF parameters have a small effect on the performance of RF, and a satisfactory prediction was acquired with a root mean square error （RMSE） of 0.1956. The two variable reduction methods for RF prediction produced different results; variable reduction based on the Variable Importance Value method achieved nearly the same prediction accuracy with no reduced prediction, whereas variable re- duction using the PCA method had an obviously degraded result that may have been caused by the loss of subtle variations and the fusion of noise information. After removing highly correlated variables, the relative variable importance remained steady, and the use of variables selected based on the best-performing vegetation indices performed better than the vari- ables with all vegetation indices or those selected based on the most important one. The results in this study demonstrate the practical and powerful ability of the RF method in predicting grassland LAI, which can also be applied to the estimation of other vegetation traits as an alternative to conventional empirical regression models and the selection of relevant variables used in ec

关键词： leaf area index Random Forests grassland remote sensing Hulunber

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Tropical forest canopies and their relationships with climate and disturbance： results from a global dataset of consistent field-based measurements

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Forest Ecosystems 2018年第1期5卷 77-90页

作者： marion pfeifer alemu gonsamo william woodgate luis cayuela andrew r.marshall alicia ledo timothy c.e.paine rob marchant andrew burt kim calders colin courtney-mustaphi aida cuni-sanchez nicolas j.deere dereje denu jose gonzalez de tanago robin hayward alvaro lau manuel j.macía pieter i.olivier petri pellikka hamidu seki deo shirima rebecca trevithick beatrice wedeux charlotte wheeler pantaleo k.t.munishi thomas martin abdul mustari philip j.platts school of natural and environmental sciences newcastle universityUpon TyneNewcastle NE1 7RUUK department of geography and planning university of torontoONCanada land and water commonwealth scientific and industrial research organisationYarralumlaACTAustralia school of mathematical and geospatial sciences rmit universityGPO Box 2476VMelbourneVIC 3001Australia department of biology geologyphysics and inorganic chemistryuniversidad rey juan carlosE-28933 MostolesMadridSpain tropical forest and peopleresearch centre university of the sunshine coastsippy DownsAustralia environment department university of yorkYorkUK flamingo land ltd. MaltonUK the institute of biological and environmental sciences environmental modelling groupuniversity of aberdeenAberdeenUK biological and environmental sciences university of stirlingStirling FK9 4L AUK york institute for tropical ecosystems environment departmentuniversity of yorkYork YO10 5NGUK department of geography university college londonGower StreetLondon WC1E 6BTUK earth observation climate and optical groupnational physical laboratoryHampton RoadTeddingtonMiddlesex TW11 0LWUK department of archaeology and ancient history uppsala universitetP.O.Box 256-751 05 UppsalaSESweden center for macroecology evolution and climateuniversity of copenhagenUniversitetsparken 152100 CopenhagenDKDenmark durrell institute of conservation and ecology(dice) school of anthropology and conservationuniversity of kentCanterbury CT2 7NRUK department of biology college of natural sciencesjimma universityJimmaEthiopia wageningen university&research laboratory of geo-information science and remote sensingDroevendaalsesteeg 36708 PB Wageningenthe Netherlands center for international forestry research(cifor) Situ GedeSindang BarangBogor 16680Indonesia departamento de biología área de botánicauniversidad autónoma de madridcalle Darwin 2-28049 MadridESSpain conservation ecology research unit university of pretoriaHatfieldPretoriaSouth Af

Background： Canopy structure, defined by leaf area index （LAI）, fractional vegetation cover （FCover） and fraction of absorbed photosynthetically active radiation （fAPAR）, regulates a wide range of forest functions and ecosystem services. Spatially consistent field-measurements of canopy structure are however lacking, particularly for the tropics. Methods： Here, we introduce the Global LAI database： a global dataset of field-based canopy structure measurements spanning tropical forests in four continents （Africa, Asia, Australia and the Americas）. We use these measurements to test for climate dependencies within and across continents, and to test for the potential of anthropogenic disturbance and forest protection to modulate those dependences. Results： Using data collected from 887 tropical forest plots, we show that maximum water deficit, defined across the most arid months of the year, is an important predictor of canopy structure, with all three canopy attributes declining significantly with increasing water deficit. Canopy attributes also increase with minimum temperature, and with the protection of forests according to both active （within protected areas） and passive measures （through topography）. Once protection and continent effects are accounted for, other anthropogenic measures （e.g. human population） do not improve the model. Conclusions： We conclude that canopy structure in the tropics is primarily a consequence of forest adaptation to the maximum water deficits historically experienced within a given region. Climate change, and in particular changes in drought regimes may thus affect forest structure and function, but forest protection may offer some resilience against this effect.

关键词： leaf area index Fractional vegetation cover Fraction of absorbed photosynthetically active radiation,Human population pressure Protected areas Drought Climate change

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Comparisons of Yield and Growth Behaviors of Hybrid Rice Under Different Nitrogen Management Methods in Tropical and Subtropical Environments

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Journal of Integrative Agriculture 2013年第4期12卷 621-629页

作者： Ibrahim Md PENG Shao-bing TANG Qi-yuan HUANG Min JIANG Peng ZOU Ying-bin College of Agronomy Hunan Agricultural University Crop Physiology and Production Center (CPPC) Huazhong Agricultural University

To compare the grain yield and growth behaviors of hybrid rice, field experiments were conducted in a subtropical environment in Changsha, Hunan Province, China, and in two tropical environments in Gazipur and Habiganj in Bangladesh during 2009 to 2011. Three hybrid rice cultivars were grown under three nitrogen （N） management treatments in each experiment. The results showed that grain yield was significantly affected by locations, N treatments and their interaction but not by cultivars. Changsha produced 8-58% higher grain yields than Bangladesh locations. Sink size （spikelet number per unit land area） was responsible for these yield differences. Larger panicle size （spikelet number per panicle） contributed to greater sink size in Changsha. Aboveground total biomass was greater in Changsha than in Bangladesh locations, whereas harvest index was higher in Bangladesh locations than in Changsha. Crop growth rate （CGR） was greater at Changsha than Bangladesh locations during vegetative phase, while the difference was relatively small and not consistent during the later growth phases. Higher leaf area index and leaf area duration were partly responsible for the greater CGR in Changsha. Real-time N management （RTNM） produced lower grain yields than fixed-time N management in more than half of the experiments. Our study suggested that further improvement in rice yield in the tropical environments similar to those of Bangladesh will depend mainly on the ability to increase panicle size as well as CGR during vegetative phase, and the chlorophyll meter threshold value used in RTNM needs to be modified according to environmental conditions and cultivar characteristics to achieve a desirable grain yield.

关键词： crop growth rate biomass production hybrid rice leaf area duration leaf area index real-time nitrogenmanagement

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Light interception and radiation use efficiency response to tridimensional uniform sowing in winter wheat

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Journal of Integrative Agriculture 2018年第3期17卷 566-578页

作者： tao zhi-qiang wang de-mei ma shao-kang yang yu-shuang zhao guang-cai chang xu-hong Institute of Crop Sciences Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology Ministry ofAgriculture Beijing 100081 P.R. China

Improving radiation use efficiency （RUE） of the canopy is necessary to increase wheat （Triticum aesfivum） production. Tridimensional uniform sowing （U） technology has previously been used to construct a uniformly distributed population structure that increases RUE. In this study, we used tridimensional uniform sowing to create a wheat canopy within which light was spread evenly to increase RUE. This study was done during 2014-2016 in the Shunyi District, Beijing, China. The soil type was sandy loam. Wheat was grown in two sowing patterns：（1） tridimensional uniform sowing （U）; （2） conventional drilling （D）. Four planting densities were used： 1.8, 2.7, 3.6, and 4.5 million plants ha-1. Several indices were measured to compare the wheat canopies： photosynthetic active radiation intercepted by the canopy （IPAR）, leaf area index （LAI）, leaf mass per unit area （LMA）, canopy extinction coefficient （K）, and RUE. In two sowing patterns, the K values decreased with increasing planting density, but the K values of U were lower than that of D. LMA and IPAR were higher for U than for D, whereas LAI was nearly the same for both sowing patterns. IPAR and LAI increased with increasing density under the same sowing pattern. However, the difference in IPAR and LAI between the 3.6 and 4.5 million plants ha-1 treatments was not significant for both sowing patterns. Therefore, LAI within the same planting density was not affected by sowing pattern. RUE was the largest for the U mode with a planting density of 3.6 million plants ha-1 treatment. For the D sowing pattern, the lowest planting density （1.8 million plants ha-1） resulted in the highest yield. Light radiation interception was minimal for the D mode with a planting density of 1.8 million plants ha-1 treatment, but the highest RUE and highest yield were observed under this condition. For the U sowing pattern, IPAR increased with increasing planting density, but yield and RUE were the highest with a planting density of 3.6 million plants ha-1. These results indicated that the

关键词： tridimensional uniform sowing extinction coefficient leaf area index leaf mass per unit area wheat

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Evaluating the performance of CMIP6 Earth system models in simulating global vegetation structure and distribution

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Advances in Climate Change Research 2021年第6期12卷 584-595页

作者： SONG Xiang WANG Dan-Yun LI Fang ZENG Xiao-Dong International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China University of Chinese Academy of Sciences Beijing100049China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyNanjing210044China

Evaluation of vegetation structure and distribution simulations in Earth system models(ESMs)is the basis for understanding historical reconstruction and future projection of changes in terrestrial ecosystems,carbon cycle,and climate based on these ESMs.Such assessments can also provide important information of models'merits and shortcomings or systematic biases,and so clues for model development.Vegetation structure and distribution in ESMs are primarily characterized by three variables:leaf area index(LAI),tree height,and fractional coverage of plant functional type(PFT).However,for the ongoing Coupled Model Intercomparison Project Phase 6(CMIP6),only temporal variabilities of global-averaged LAI time series were evaluated,others remain largely uninvestigated.This study systematically investigates the spatial and/or temporal variability of the three critical variables from 27 ESMs in CMIP6 using satellite observations.Our results show that all models and the multi-model ensemble mean(MME)can generally reproduce the observed LAI spatial pattern but all of them overestimate the global mean LAI mainly due to overestimation of LAI in non-forested vegetated areas.Most CMIP6 models fail to capture the temporal variability in the annual LAI because of large biases in both the simulated trend magnitude and temporal pattern of interannual variability.The average LAI seasonal cycles in different latitude zones are roughly reproduced by the models,but 1-2 months delays in the LAI peak appear in the Arctic-boreal zone.Additionally,CMIP6 models overall overestimate tree height,and largely overestimate the global grass area but underestimate tree and shrub areas,especially in the middle and high latitudes.It should be kept in mind that such biases may have further impacts on the simulations of the related carbon and land-atmosphere interaction variables(e.g.,ecosystem production,carbon storage,transpiration,and temperature)for global change research.Hence,bias-correction should be made to improve reliability of vegetation str

关键词： Earth system model CMIP6 leaf area index Vegetation distribution Tree height

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Solar radiation-use characteristics of indica/japonica hybrid rice (Oryza sativa L.) in the late season in southeast China

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The Crop Journal 2021年第2期9卷 427-439页

作者： Min Yin Shaowen Liu Xi Zheng Guang Chu Chunmei Xu Xiufu Zhang Dangying Wang Song Chen China National Rice Research Institute Chinese Academy of Agricultural SciencesHangzhou 310006ZhejiangChina The Faculty of Agriculture Life and Environmental SciencesZhejiang UniversityHangzhou 310029ZhejiangChina

New indica and japonica hybrid rice cultivars,such as the Yongyou series,provide farmers with very high yield potential.However,information on their canopy light capture and solar radiation use efficiency in the late season is limited.Field experiments were performed to compare the radiation-use parameters of four rice types:indica rice(IR),inbred japonica rice(IJR),hybrid japonica rice(HJR),and hybrid indica/japonica rice(HIJR),from 2016 to 2018 during the late season in Hangzhou,China.The grain yield,aboveground biomass,intercepted solar radiation(SI),and radiation-use efficiency(RUE)of the HIJR were on average respectively 13.4%–53.4%,14.3%–30.6%,7.6%–21.4%,and 8.2%–14.9%higher than those of the HJR,IJR,and IR.The leaf area index(LAI)of the HIJR was 18.2%–57.0%greater than that of the IJR and HJR at four growth stages,resulting in respectively 17.8%–38.5%and 10.7%–42.8%greater canopy light interception rates(LIR)and amount of intercepted solar radiation during the vegetative stage.The prolonged grain-filling stage also led to respectively 33.9%–52.6%and 30.5%–51.4%increases in amounts of incident and intercepted radiation for the HIJR relative to the IR during grain filling.These results indicate that the SI superiority of the HIJR was caused by canopy closure as rapid as that of the IR during the vegetative stage(greater LAI and canopy LIR during the growing season)and a grain-filling stage as long as that of the HJR.For grain-filling stage,differences in leaf Pn between HIJR,IR,and IJR were not significant,suggesting that the greater RUE of the HIJR(12.7%–52.8%higher)than that of the other rice types resulted from improved canopy architecture after flowering(FL).Principal components analysis(PCA)revealed that the superiority of the HIJR in terms of solar radiation use resulted from the greater canopy light capture capability of IR and the prolonged growth period(especially during grain filling)of japonica rice in the late growing season.

关键词： indica/japonica hybrid rice Solar radiation use Canopy light capture leaf area index

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Basal internode elongation of rice as affected by light intensity and leaf area

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The Crop Journal 2020年第1期8卷 62-70页

作者： Xuhua Zhong Kaiming Liang Bilin Peng Ka Tian Xiaojuan Li Nongrong Huang Yanzhuo Liu Junfeng Pan Rice Research Institute of Guangdong Academy of Agricultural Sciences Guangzhou 510640GuangdongChina Guangdong Key Laboratory of New Technology for Rice BreedingGuangzhou 510640GuangdongChina

Short basal internodes are important for lodging resistance of rice(Oryza sativa L.).Several canopy indices affect the elongation of basal internodes,but uncertainty as to the key factors determining elongation of basal internodes persists.The objectives of this study were(1)to identify key factors affecting the elongation of basal internodes and(2)to establish a quantitative relationship between basal internode length and canopy indices.An inbred rice cultivar,Yinjingruanzhan,was grown in two split-plot field experiments with three N rates(0,75,and 150 kg N ha−1 in early season and 0,90,and 180 kg N ha−1 in late season)as main plots,three seedling densities(16.7,75.0,and 187.5 seedlings m−2)as subplots,and three replications in the 2015 early and late seasons in Guangzhou,China.Light intensity at base of canopy(Lb),light quality as determined from red/far-red light ratio(R/FR),light transmission ratio(LTR),leaf area index(LAI),leaf N concentration(NLV)and final length of second internode(counted from soil surface upward)(FIL)were recorded.Higher N rate and seedling density resulted in significantly longer FIL.FIL was negatively correlated with Lb,LTR,and R/FR(P0.05).Stepwise linear regression analysis showed that FIL was strongly associated with Lb and LAI(R2=0.82).Heavy N application to pot-grown rice at the beginning of first internode elongation did not change FIL.We conclude that FIL is determined mainly by Lb and LAI at jointing stage.NLV has no direct effect on the elongation of basal internodes.N application indirectly affects FIL by changing LAI and light conditions in the rice canopy.Reducing LAI and improving canopy light transmission at jointing stage can shorten the basal internodes and increase the lodging resistance of rice.

关键词： Internode elongation leaf area index Light intensity Light quality R/FR,Light transmission ratio leaf N concentration

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Developing a USLE cover and management factor(C)for forested regions of southern China

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Frontiers of Earth Science 2020年第3期14卷 660-672页

作者： Conghui Li Lili Lin Zhenbang Hao Christopher J.Post Zhanghao Chen Jian Liu Kunyong Yu Fujian Agriculture and Forestry University Fuzhou350002China University Key Laboratory for Geomatics Technology and Optimized Resources Utilization in Fujian Province Fuzhou350002China Department of Forestry and Environmental Conservation Clemson UniversityClemsonSC29634USA

The Universal Soil Loss Equation model is often used to improve soil resource conservation by monitoring and forecasting soil erosion.This study tested a novel method to determine the cover and management factor(C)of this model by coupling the leaf area index(LAI)and soil basal respiration(SBR)to more accurately estimate a soil erosion map for a typical region with red soil in Hetian,Fujian Province,China.The spatial distribution of the LAI was obtained using the normalized difference vegetation index and was consistent with the LAI observed in the field(R^2=0.66).The spatial distribution of the SBR was obtained using the Carnegie-Ames-Stanford Approach model and verified by soil respiration field observations(R^2=0.51).Correlation analyses and regression models suggested that the LAI and SBR could reasonably reflect the structure of the forest canopy and understory vegetation,respectively.Finally,the C-factor was reconstructed using the proposed forest vegetation structure factor(Cs),which considers the effect of the forest canopy and shrub and litter layers on reducing rainfall erosion.The feasibility of this new method was thoroughly verified using runoff plots(R2=0.55).The results demonstrated that Cs may help local governments understand the vital role of the structure of the vegetation layer in limiting soil erosion and provide a more accurate large-scale quantification of the C-factor for soil erosion.

关键词： leaf area index remote sensing soil basal respiration forest vegetation structure factor vegetation layer structure

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