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Time series canopy phenotyping enables the identification of genetic variants controlling dynamic phenotypes in soybean

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Journal of Integrative Plant Biology 2023年第1期65卷 117-132页

作者： Delin Li Dong Bai Yu Tian Ying-Hui Li Chaosen Zhao Qi Wang Shiyu Guo Yongzhe Gu Xiaoyan Luan Ruizhen Wang Jinliang Yang Malcolm J.Hawkesford James C.Schnable Xiuliang Jin Li-Juan Qiu The National Key Facility for Crop Gene Resources and Genetic Improvement(NFCRI)/Key Laboratory of Crop Gene Resource and Germplasm Enhancement(MOA)/Key Laboratory of Soybean Biology(Beijing)(MOA) Institute of Crop Science Chinese Academy of Agricultural SciencesBeijing 100081 China Crops Research Institute of Jiangxi Academy of Agricultural Sciences Nanchang 330200 China College of Agriculture Northeast Agricultural University Harbin 150030 China Soybean Research Institute Heilongjiang Academy of Agricultural Sciences Harbin 150086 China Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln Nebraska 68583 USA Plant Sciences Department Rothamsted ResearchWest CommonHarpendenHertfordshire AL52JQ UK

Advances in plant phenotyping technologies are dramatically reducing the marginal costs of collecting multiple phenotypic measurements across several time ***,most current approaches and best statistical practices implemented to link genetic and phenotypic variation in plants have been developed in an era of single-time-point ***,we used time-series phenotypic data collected with an unmanned aircraft system for a large panel of soybean(Glycine max(L.)Merr.)varieties to identify previously uncharacterized ***,we focused on the dissection of canopy coverage(CC)variation from this rich data *** also inferred the speed of canopy closure,an additional dimension of CC,from the time-series data,as it may represent an important trait for weed ***-wide association studies(GWASs)identified 35 loci exhibiting dynamic associations with CC across developmental *** time-series data enabled the identification of 10 known flowering time and plant height quantitative trait loci(QTLs)detected in previous studies of adult plants and the identification of novel QTLs influencing *** novel QTLs were disproportionately likely to act earlier in development,which may explain why they were missed in previous single-time-point ***,this time-series data set contributed to the high accuracy of the GWASs,which we evaluated by permutation tests,as evidenced by the repeated identification of loci across multiple time *** novel loci showed evidence of adaptive selection during domestication,with different genotypes/haplotypes favored in different geographic *** summary,the time-series data,with soybean CC as an example,improved the accuracy and statistical power to dissect the genetic basis of traits and offered a promising opportunity for crop breeding with quantitative growth curves.

关键词： canopy coverage dynamic regulation GWAS soybean time series unmanned aircraft system

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Does tree species composition control the soil carbon stocks of the Hyrcanian forest in the Northern Iran?(A case study in Guilan province,Iran)

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Journal of Forestry Research 2014年第1期25卷 143-146页

作者： Vilma Bayramzadeh Department of wood Sciences Faculty of Agriculture and Natural ResourcesKaraj BranchIslamic Azad University

This work studied the effects of tree species composition on soil carbon storage in five mixed stands dominated by oriental beech and grown in the western Caspian region in Guilan province, called Astara, Asalem, Fuman, Chere and Shenrud. The thickness of the litter layer, soil characteristics, tree composition and percentage of canopy coverage were measured in each stand. Total soil organic carbon differed significantly by stand. Total （organic） carbon stores at Fuman, which had the lowest tree species richness with 2 species and least canopy coverage （75%）, were significantly （p〈0.05） higher than at other locations. Carbon stor-age in topsoil （0-10 cm） was significantly lower in Shenrud, which had the highest tree species richness with 5 species and highest canopy cov-erage （95%）. The high percentage of canopy coverage in Shenrud proba-bly limited the conversion of litter to humus. However, in the second soil layer （10-25 cm）, Asalem, with high tree species richness and canopy coverage, had the highest carbon storage. This can be explained by the different rooting patterns of different tree species. In the Hyrcanian forest. According to the results, it can be concluded that not only tree composi-tion but also canopy coverage percentage should be taken under consid-eration to manage soil carbon retention and release.

关键词： beech forest canopy coverage soil carbon stocks tree composition

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CPSDv0: a forest stand structure database for plantation forests in China

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Big Earth Data 2023年第1期7卷 212-230页

作者： Xiuchen Wu Xiaofei Jiang Hongyan Liu Craig Allen Xiaoyan Li Pei Wang Zongshan Li Yuting Yang Shulei Zhang Fangzhong Shi Jiaojun Zhu Pengtao Yu Mei Zhou Pengwu Zhao Yanhui Wang Chao Yue Deliang Chen State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal UniversityBeijingChina School of Natural Resources Faculty of Geographical ScienceBeijing Normal UniversityBeijingChina College of Urban and Environmental Sciences and MOE Laboratory for Earth Surface Processes Peking UniversityBeijingChina U.S.Geological Survey-Nebraska Cooperative Fish&Wildlife Research Unit School of Natural Resources423 Hardin HallUniversity of NebraskaLincolnNEUSA State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijingChina State Key Laboratory of Hydroscience and Engineering Department of Hydraulic EngineeringTsinghua UniversityBeijingChina CAS Key Laboratory of Forest Ecology and Management Qingyuan Forest CERNInstitute of Applied EcologyChinese Academy of SciencesShenyangChina Key Laboratory of Forest Ecology and Environment of the National Forestry and Grassland Administration of China Research Institute of Forest EcologyEnvironment and ProtectionChinese Academy of ForestryBeijingChina Academy of Forestry Inner Mongolia Agricultural UniversityHuhhotChina State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Northwest A&F UniversityYanglingShaanxiChina Regional Climate Group Department of Earth SciencesUniversity of GothenburgGothenburgSweden

Forest stand structure is not only a crucial factor for regulating forest functioning but also an important indicator for sustainable forest management and ecosystem *** there exists a few national/global structure databases for natural forests,a country-wide synthetic structure database for plantation forests over China,the world’s largest player in plantation forests,has not been *** this study,we built a country-wide synthetic stand structure database by surveying more than 600 peer-reviewed *** database covers tree species,mean stand age,mean tree height,stand density,canopy coverage,diameter at breast height,as well as the associated ancillary in-situ topographical and soil properties.A total of 594 pub-lished studies concerning diverse forest stand structure parameters were compiled for 46 tree *** first synthesis for stand structure of plantation forests over China supports studies on the evolution/health of plantation forests in response to rapid climate change and intensified disturbances,and benefits country-wide sustainable forest management,future afforestation or reforestation *** users include those studying forest community dynamics,regional tree growth,ecosystem stability,and health,as well as those working with conservation and sustainable *** dataset is freely acces-sible at http://***/10.11922/sciencedb.j00076.00091.

关键词： Stand structure plantation tree age tree height stand density canopy coverage

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