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Effects of different agricultural treatments on narrowing winter wheat yield gap and nitrogen use efficiency in China

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Journal of Integrative Agriculture 2021年第2期20卷 383-394页

作者： YAO Feng-mei li qin-ying ZENG Rui-yun SHI Si-qi College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049P.R.China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049P.R.China Zhanjiang Meteorological Bureau Guangdong 524000P.R.China

Under the limited cultivated land area and the pursuit of sustainable agricultural development,it is essential for the safety of grain production to study agricultural management approaches on narrowing the winter wheat yield gap and improving nitrogen use efficiency (NUE) in *** this study,DSSAT-CERES-Wheat Model is used to simulate winter wheat yield under different agricultural treatments,and we analyze yield gaps and NUE with different management scenarios at regional scales and evaluate the suitable approaches for reducing yield gap and increasing *** results show that,the potential of narrowing yield gap ranges 300–900 kg ha^(–1) with soil nutrients increase,400–1 200 kg ha^(–1) with sowing date adjustment and 0–400 kg ha^(–1) with planting density increase as well as 700–2 200 kg ha^(–1) with adding nitrogen *** rates of management measures of soil nutrients,sowing date adjusting,planting density,and nitrogen fertilizers are 5–15%,5–15%,0–4%,and 10–20%,*** in nitrogen partial productivity ranges 3–10 kg kg^(–1) for soil nutrients,1–10 kg kg^(–1) for sowing date adjusting,1–5 kg kg^(–1) for planting density increase,and–12–0 kg kg^(–1) for adding nitrogen fertilizers,*** indicates that four treatments can narrow yield gap and improve the NUE in varying degrees,but increasing nitrogen fertilizer leads to the decrease of NUE.

关键词： winter wheat DSSAT Model yield gap nitrogen use efficiency

A cotton mitogen-activated protein kinase (GhMPK6) is involved in ABA-induced CAT1 expression and H_2O_2 production

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Journal of Genetics and Genomics 2011年第11期38卷 557-565页

作者： Juan Luo li-li Zhao Si-ying Gong Xiang Sun Peng li li-Xia qin ying Zhou Wen-liang Xu Xue-Bao li Hubei Key Laboratory of Genetic Regulation and Integrative Biology College of Life Sciences Central China Normal University Wuhan 430079 China

The mitogen-activated protein kinase （MAPK） cascade is one of the a pivotal role in the regulation of stress and developmental signals in plants. major and evolutionally conserved signaling pathways and plays Here, we identified one gene, GhMPK6, encoding an MAPK protein in cotton. GFP fluorescence assay demonstrated that GhMAPK6 is a cytoplasm localized protein. Quantitative RT-PCR analysis revealed that mRNA accumulation of GhMPK6 was significantly promoted by abscisic acid （ABA）. Overexpression of GhMPK6 gene in the T-DNA insertion mutant atmkkl （SALK_015914） conferred a wild-type phenotype to the transgenic plants in response to ABA. Under ABA treatment, cotyledon greening/expansion in GhMPK6 transgenic lines and wild type was significantly inhibited, whereas the atmkkl mutant showed a relatively high cotyledon greening/expansion ratio. Furthermore, CAT1 expression and H2O2 levels in leaves of GhMPK6 transgenic lines and wild type were remarkably higher than those of atmkkl mutant with ABA treatment. Collectively, our results suggested that GhMPK6 may play an important role in ABA-induced CAT1 expression and H2O2 production.

关键词： Cotton (Gossypium hirsutum) Mitogen-activated protein kinase (MAPK) Hydrogen peroxide (H2O2) Abscisic acid (ABA) Hypersensitivity

基于A~*改进算法的四向移动机器人路径搜索研究

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控制与决策 2017年第6期32卷 1007-1012页

作者：田华亭李涛秦颖昆明理工大学机电工程学院昆明650500

在由栅格法构建的环境地图中,利用A~*算法进行路径搜索时存在搜索范围广、搜索速度慢、路径曲折等问题.针对栅格地图及具有四向移动机器人的特点,从搜索方向、启发函数构建、机器人加减速以及转向成本等几个方面对A~*算法进行研究和改进... 详细信息

在由栅格法构建的环境地图中,利用A~*算法进行路径搜索时存在搜索范围广、搜索速度慢、路径曲折等问题.针对栅格地图及具有四向移动机器人的特点,从搜索方向、启发函数构建、机器人加减速以及转向成本等几个方面对A~*算法进行研究和改进,提出一种基于启发信息的扩展节点算法,降低偏离最佳路径节点的扩展数量.改进后的A~*算法平均可降低67.1%的搜索面积、49.2%的计算时长、24.9%的路径成本及减少51.1%的转向次数,提高了路径的搜索速度和平滑度.

关键词： A*改进算法启发函数移动机器人路径搜索配送中心

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小茶腊独龙族语言生活的适应性变迁

贵州民族研究 2015年第11期36卷 145-149页

作者：覃丽赢云南大学民族研究院云南昆明650091

以小茶腊独龙族为个案,论述一个"钟摆式"流动迁徙的群体如何在与强势语言的共处中,能够在语言融合和文化涵化的过程中保存本民族母语和文化,做到"和而不同,各就其位,和谐有序"。

关键词：流动迁徙语言接触适应性变迁语言和谐

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贵州经济起飞的条件与路径研究

贵州民族研究 2006年第2期26卷 85-89页

作者：李英勤黔南民族师范学院管理科学系贵州都匀558000

西部欠发达地区如何实现经济起飞是我国经济发展的一大战略难题。本文从个案分析入手,阐述了西部欠发达的贵州省未来20年将进入经济起飞阶段,并探讨了贵州省经济起飞的条件与路径。

关键词：贵州经济起飞条件路径

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石漠化防治：贵州新农村建设的难点和重点

生态经济 2007年第1期23卷 56-58页

作者：李英勤黔南民族师范学院管理科学系贵州都匀558000

喀斯特石漠化是贵州省农民生存生产环境的最大威胁,是贵州省“三农”问题产生的主要根源。本文认为石漠化防治既是贵州省社会主义新农村建设的难点所在,也是贵州省社会主义新农村建设的重点和关键。

关键词：石漠化防治贵州省新农村建设难点重点

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南贵昆经济区开发与加快民族地区发展

贵州民族研究 2005年第6期25卷 63-66页

作者：李英勤黔南民族师范学院政治经济系贵州都匀558000

南贵昆经济区足国家确定的西部人开发三个重点区域之一,该区域又是我国少数民族人口最多的三个省区。本文阐述南贵昆经济区开发将有利于加快滇黔桂民族地区经济社会的快速发展,并提出用科学发展观指导南贵昆经济区的开发。

关键词：南贵昆经济区开发民族地区发展

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贵州土地石漠化与“三农”问题的经济学分析

生态经济 2006年第2期22卷 57-59页

作者：李英勤黔南民族师范学院管理科学系贵州都匀558000

西南地区石漠化已经成为我国的两大生态灾难之一,而贵州省又处于我国西南部石漠化地区的中心。严重的土地石漠化已经使贵州省的一部分农民丧失了基本的生产和生存条件,是贵州农村贫困的最直接、最根本原因。因此,土地石漠化是贵州省“... 详细信息

西南地区石漠化已经成为我国的两大生态灾难之一,而贵州省又处于我国西南部石漠化地区的中心。严重的土地石漠化已经使贵州省的一部分农民丧失了基本的生产和生存条件,是贵州农村贫困的最直接、最根本原因。因此,土地石漠化是贵州省“三农”问题产生的主要根源,加快土地石漠化综合治理是解决贵州省“三农”问题的根本途径。

关键词：贵州省土地石漠化 “三农”问题产生根源解决途径综合治理

An efficient quantum proactive incremental learning algorithm

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 49-57页

作者： lingxiao li Jing li Yanqi Song Sujuan qin Qiaoyan Wen Fei Gao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications School of Cyberspace Security Beijing University of Posts and Telecommunications

In scenarios where a large amount of data needs to be learned, incremental learning can make full use of old knowledge, significantly reduce the computational cost of the overall learning process, and maintain high performance. In this paper, taking the MaxCut problem as our example, we introduce the idea of incremental learning into quantum computing, and propose a Quantum Proactive Incremental Learning algorithm(QPIL). Instead of a one-off training of quantum circuit, QPIL contains a multi-phase training on gradually-increased subgraphs of all vertices, proactively reducing large-scale problems to smaller ones to solve in steps, providing an efficient solution for MaxCut. Specifically, some vertices and corresponding edges are randomly selected for training to obtain optimized parameters of the quantum circuit at first. Then, in each incremental phase, the remaining vertices and corresponding edges are gradually added and the parameters obtained from the previous phase are reused in the parameter initialization of the current phase. We perform experiments on 120 different small-scale graphs, and it shows that QPIL performs superior to prevalent quantum and classical baselines in terms of approximation ratio(AR), time cost, anti-forgetting, and solving stability. In particular, QPIL's AR surpasses 20% of mainstream quantum baselines, and the time cost is less than 1/5 of them. The idea of QPIL is expected to inspire efficient and high-quality solutions in large-scale Max Cut and other combinatorial optimization problems.

关键词： variational quantum algorithm incremental learning multi-phase training MaxCut quantum computing