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Genetic dissection of the grain-filling rate and related traits through linkage analysis and genome-wide association study in bread wheat

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Journal of Integrative Agriculture 2022年第10期21卷 2805-2817页

作者： YU Hai-xia DUAN Xi-xian SUN Ai-qing SUN Xiao-xiao ZHANG Jing-juan SUN Hua-qing SUN Yan-yan NING Tang-yuan TIAN Ji-chun WANG Dong-xue LI Hao FAN Ke-xin WANG Ai-ping MA Wu-jun CHEN Jian-sheng State Key Laboratory of Crop Biology/Key Laboratory of Crop Water Physiology and Drought-tolerance Germplasm Improvement Minstry of Agriculture and Rural Affairs/Group of Wheat Quality BreedingCollege of AgronomyShandong Agricultural UniversityTai’an 271018P.R.China Dezhou Agricultural Protection and Technological Extension Center Dezhou 253000P.R.China zhongnong tiantai seed co. Ltd.Pingyi 273300P.R.China School of Veterinary and Life Sciences Murdoch UniversityMurdochWA 6150Australia

Wheat grain yield is generally sink-limited during grain *** grain-filling rate(GFR)plays a vital role but is poorly studied due to the difficulty of phenotype *** study explored the grain-filling traits in a reco.binant inbred population and wheat co.lection using two highly saturated genetic maps for linkage analysis and genome-wide association study(GWAS).Seventeen stable additive quantitative trait loci(QTLs)were identified on chromosomes 1B,4B,and *** linkage interval between IWB19555 and IWB56078 showed pleiotropic effects on GFR_(1),GFR_(max),kernel length(KL),kernel width(KW),kernel thickness(KT),and thousand kernel weight(TKW),with the phenotypic variation explained(PVE)ranging from 13.38%(KW)to 33.69%(TKW).198 significant marker-trait associations(MTAs)were distributed across most chromosomes except for 3D and *** major associated sites for GFR included IWB44469(11.27%),IWB8156(12.56%)and IWB24812(14.46%).Linkage analysis suggested that IWB35850,identified through GWAS,was located in approximately the same region as QGFR_(max)2B.3-11,where two high-co.fidence candidate genes were *** important grain weight(GW)-related QTLs co.ocalized with grain-filling *** findings co.tribute to understanding the genetic architecture of the GFR and provide a basic approach to predict candidate genes for grain yield trait QTLs.

关键词： wheat grain-filling rate linkage analysis genome-wide association study

Prediction of dissolved oxygen in a fishery pond based on gated recurrent unit (GRU)

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Information Processing in Agriculture 2021年第1期8卷 185-193页

作者： Wuyan Li Hao Wu Nanyang Zhu Yongnian Jiang Jinglu Tan Ya Guo Key Laboratory of Advanced Process co.trol for Light Industry(Ministry of Education) School of Internet of Things EngineeringJiangnan UniversityWuxi 214122China Jiangsu Internet Agricultural Development Center Nanjing 210017China Jiangsu zhongnong IoT Technology co. LTDYixing 214200China University of Missouri ColumbiaMO 65211USA

Dissolved oxygen(DO),an important water quality indicator in aquaculture,affects the survival rate of aquatic creatures and the yield of aquatic ***,it is important to predict DO in fishery ponds for applying artificial aeration with low energy and ***,deep learning models,such as recurrent neural network(RNN),long short-term memory(LSTM),and gated recurrent unit(GRU),are often used to predict the trend of time series,but it is unclear which one of them is more suitable for prediction of DO in fishery *** this work,the RNN model,LSTM model,and GRU model were used to build three DO predicting *** performance of the three models were co.pared by mean absolute error(MAE),mean square error(MSE),mean absolute percentage error(MAPE),and the co.fficient of determination(R2).The performance of RNN is worse result than LSTM and *** four evaluation indicators of GRU are 0.450 mg/L,0.411,0.054,and 0.994,and the four indicators of LSTM are 0.407 mg/L,0.294,0.059,and 0.970,which shows that the performance of GRU is similar to LSTM,but the time co.t and number of parameters used for GRU is much lower than *** is co.cluded that the GRU has overall better performance and can be applied to practical applications.

关键词： Dissolved oxygen RNN model LSTM model GRU model

Deep learning for smart agriculture:co.cepts,tools,applications,and opportunities

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International Journal of Agricultural and Biological Engineering 2018年第4期11卷 32-44页

作者： Nanyang Zhu Xu Liu Ziqian Liu Kai Hu Yingkuan Wang Jinglu Tan Min Huang Qibing Zhu Xunsheng Ji Yongnian Jiang Ya Guo Key Laboratory of Advanced Process co.trol for Light Industry Ministry of EducationJiangnan UniversityWuxi 214122China School of Internet of Things Jiangnan UniversityWuxi 214122China Chinese Academy of Agricultural Engineering Beijing 100125China Department of Bioengineering University of MissouriColumbiaMO 65211USA Jiangsu zhongnong IoT Technology co. LTDYixing 214200China

In recent years,Deep Learning(DL),such as the algorithms of co.volutional Neural Networks(CNN),Recurrent Neural Networks(RNN)and Generative Adversarial Networks(GAN),has been widely studied and applied in various fields including *** in the fields of agriculture often use software frameworks without sufficiently examining the ideas and mechanisms of a *** article provides a co.cise summary of major DL algorithms,including co.cepts,limitations,implementation,training processes,and example co.es,to help researchers in agriculture to gain a holistic picture of major DL techniques *** on DL applications in agriculture is summarized and analyzed,and future opportunities are discussed in this paper,which is expected to help researchers in agriculture to better understand DL algorithms and learn major DL techniques quickly,and further to facilitate data analysis,enhance related research in agriculture,and thus promote DL applications effectively.

关键词： deep learning smart agriculture neural network co.volutional neural networks recurrent neural networks generative adversarial networks artificial intelligence image processing pattern reco.nition

Advances in Research on the Effects of Calcium on Vegetable Quality and Human Health

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Agricultural Biotechnology 2019年第3期8卷 51-53页

作者： Weiling YUAN Zhixiong LIU Leifu CHEN Shuang CHEN Zhengming QIU Institute of Eco.omic Crops Hubei Academy of Agricultural SciencesWuhan 430064China Wuhan zhongnong South Science and Technology co. Ltd.Wuhan 430000China

Calcium is an important element that affects vegetable quality and human *** this paper,the basic nutrition and functions of calcium,the effects of calcium deficiency on vegetable growth and human health,the effect of calcium supply on vegetable quality and the outlook for calcium-rich vegetables were overviewed,aiming at providing guidance for the cultivation of high-quality calcium-rich vegetables.

关键词： Calcium Vegetable quality Human health

Identification and Analysis of co.ponents of Gluco.inolates in Succulent Roots and Leaves of Fruity Radish (Raphanus sativas L.)

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Asian Agricultural Research 2018年第4期10卷 84-88页

作者： Weiling YUAN Shangyong YUAN Leifu CHEN Zhixiong LIU Ke WANG Zhengming QIU Wuhan zhongnong South Science and Technology co. Ltd. Wuhan 430064 China Institute of Eco.omic Crop Hubei Academy of Agricuhural ScienceWuhan 430070 China Vegetable office of Hubei Province Wuhan 430070 China

The co.ponents of gluco.inolates( GSL) in the succulent roots and leaves of three kinds of fruity radish( Xinlimei,Super Zhengyan,and Shawo) were identified and analyzed by high performance liquid chromatography( HPLC). Results showed that there were nine kinds of gluco.inolates in the succulent roots and leaves of three kinds of fruity radish,including six kinds of aliphatic gluco.inolates( 4-methyl sulfinyl-3-butenyl gluco.inolates,2-allyl gluco.inolates,4-methyl sulfinyl butyl gluco.inolates,5-methyl sulfinyl amyl gluco.inolates,4-methyl n-butyl gluco.inolates,4-methyl thio-3-butenyl gluco.inolates) and three kinds of indole gluco.inolates( 4-methoxy methyl indole gluco.inolates,3-methyl indole gluco.inolates,1-methoxy methyl indole gluco.inolates),but there were significant differences in the co.tent of gluco.inolates between different varieties and organs. The total co.tent of gluco.inolates in succulent roots of three kinds of fruity radish was22 472. 84,13 585. 86,and 28 200. 70 μg/g DM respectively,and more than 95% were aliphatic gluco.inolates. The co.tent of gluco.inolates in succulent roots was 4. 56,2. 71,and 4. 55 times of that in leaves of three kinds of fruity radish. Main aliphatic gluco.inolates in succulent roots and leaves of three kinds of fruity radish were 4-methyl sulfinyl-3-butenyl gluco.inolates,acco.nting for 90. 11%-93. 92% and63. 03%-73. 72% of total co.tent of gluco.inolates.

关键词： Fruity radish Gluco.inolates Leaves Succulent roots

The relative co.trols of temperature and soil moisture on the start of carbon flux phenology and net eco.ystem production in two alpine meadows on the Qinghai-Tibetan Plateau

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Journal of Plant Eco.ogy 2020年第2期13卷 247-255页

作者： Xi Chai Peili Shi Minghua Song Ning Zong Yongtao He Yingnian Li Xianzhou Zhang Yanjiao Liu Key Laboratory of Eco.ystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Science11ADatun RoadChaoyang DistrictBeijing 100101China co.lege of Resources and Environment University of Chinese Academy of SciencesNo.80 Zhongguancun East RoadHaidian DistrictBeijing 100190China Northwest Institute of Plateau Biology Chinese Academy of SciencesNo.23 Xinning roadXiningQinghai Province 810008China Beijing zhongnong Futong Horticulture co. Ltd.No.17 Qinghua East RoadHaidian DistrictBeijing 100083China

Aims Variations in vegetation spring phenology are widely attributed to temperature in temperate and co.d ***,temperature effect on phenology remains elusive in co.d and arid/semiarid eco.ystems because soil water co.dition also plays an important role in mediating *** We used growing degree day(GDD)model and growing season index(GSI)model,co.pling minimum temperature(T_(min))with soil moisture(SM)to explore the influence of heat requirement and hydroclimatic interaction on the start of carbon uptake period(SCUP)and net eco.ystem productivity(NEP)in two alpine meadows with different precipitation regimes on the Qinghai-Tibet Plateau(QTP).One is the water-limited alpine steppe-meadow,and the other is the temperature-limited alpine *** Findings We observed two clear patterns linking GDD and GSI to SCUP:SCUP was similarly sensitive to variations in preseason GDD and GSI in the humid alpine shrub-meadow,while SCUP was more sensitive to the variability in preseason GSI than GDD in the semiarid alpine *** divergent patterns indicated a balance of the limiting climatic factors between temperature and water *** the humid meadow,higher temperature sensitivity of SCUP co.ld maximize thermal benefit without drought stress,as evidenced by the stronger linear co.relation co.fficient(R2)and Akaike’s information criterion(AIC)between observed SCUPs and those of simulated by GDD ***,greater water sensitivity of SCUP co.ld maximize the benefit of water in semiarid steppe-meadow,which is indicated by the stronger R2 and AIC between observed SCUPs and those of simulated by GSI ***,although SCUPs were determined by GDD in the alpine shrub-meadow eco.ystem,NEP was both co.trolled by accumulative GSI in two alpine *** study highlights the impacts of hydroclimatic interaction on spring carbon flux phenology and vegetation productivity in the humid and semiarid alpine *** resu

关键词： growing degree day growing season index the start of carbon uptake period net eco.ystem production alpine meadows Qinghai-Tibet Plateau

Development status and prospect of co.d chain logistics of fruits,vegetables,and agricultural products based on intelligent technology

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智能化农业装备学报（中英文） 2024年第3期5卷 63-74页

作者： ZHANG Ruizhi LIU Qianyuan HUANG Yuying LIU Bing CHANG Zhiguang WANG Jiaoling zhongnong Guoke(Nanjing)Planning and Design co.Ltd. Nanjing 210014China Nanjing Institute of Agricultural Mechanization Ministry of Agriculture and Rural AffairsNanjing 210014China Key Laboratory of Agro-Products Processing and Storage Ministry of Agriculture and Rural AffairsNanjing 210014China

The co.d chain in the production area of fruits and vegetables is the primary link to reduce product loss and improve product quality,but it is also a weak *** the application of big data technology in co.d chain logistics,intelligent devices,and technologies have beco.e important carriers for improving the efficiency of co.d chain logistics in fruit and vegetable production areas,extending the shelf life of fruits and vegetables,and reducing fruit and vegetable *** have many advantages in fruit and vegetable pre-co.ling,sorting and packaging,testing,warehousing,transportation,and other *** article summarizes the rapidly developing and widely used intelligent technologies at home and abroad in recent years,including automated guided vehicle intelligent handling based on electromagnetic or optical technology,intelligent sorting based on sensors,electronic optics,and other technologies,intelligent detection based on co.puter vision technology,intelligent transportation based on perspective imaging technology,*** analyses and studies the innovative research and achievements of various scholars in applying intelligent technology in fruit and vegetable co.d chain storage,sorting,detection,transportation,and other links,and improves the efficiency of fruit and vegetable co.d chain ***,applying intelligent technology in fruit and vegetable co.d chain logistics also faces many *** challenges of high co.t,difficulty in technological integration,and talent shortages have limited the development of intelligent technology in the field of fruit and vegetable co.d *** solve the current problems,it is proposed that co.ts be co.trolled through independent research and development,technological innovation,and other means to lower the entry threshold for small *** integrating intelligent technology and co.d chain logistics systems to improve data security and system *** the same time,the government

关键词： fruits and vegetables co.d chain logistics automated guided vehicle intelligent handling co.puter vision spectral detection