Cotton Image Segmentation Algorithm Based on Fusion Method of Markov Random Field and Quantum Particle Swarm Cluster

[Objective] The aim of this study was to improve the cotton image segmentation accuracy in a picking robot image processing system. [Method] An image segmentation algorithm based on a fusion method of Markov random field and quantum particle swarm optimization clustering was proposed. The process of the proposed algorithm is as follows: first, transform the RGB (red, green, blue) images into grayscale; second, use it to segment these images; finally, the threshold of the connected area is set on the basis of the segmented image to obtain the target area. Then, the cotton front image and the cotton side image are selected from the images collected from different angles. The segmentation experiment was carried out by using this algorithm, and compared with the Otsu algorithm, the fuzzy C-means algorithm, the quantum particle swarm image segmentation algorithm and the Markov random field image segmentation algorithm. [Result] The results showed that the segmentation accuracy and peak signal to noise ratio of the proposed algorithm were 98.94% and 77.48 dB. When compared with the Otsu algorithm, fuzzy C-means algorithm, quantum particle swarm optimization algorithm and Markov random field algorithm, the average segmentation accuracy and peak signal to noise ratio of the proposed algorithm increased by 2.47%–4.56%, and 9.81–13.11 dB, respectively. [Conclusion] The proposed algorithm had higher segmentation accuracy and higher peak signal to noise ratio than the other algorithms tested.     

脲酶抑制剂与硝化抑制剂对稻田土壤氮素转化的影响

【目的】本研究旨在阐明脲酶抑制剂(urease inhibitor,UI)和硝化抑制剂(nitrification inhibitor,NI)对稻田土壤氮素转化的影响,探讨抑制剂提高稻谷产量以及氮肥利用率的机理。【方法】本试验设在我国南方红壤稻田,共5个处理:1)不施氮肥(CK);2)尿素(U);3)尿素+脲酶抑制剂(U+UI);4)尿素+硝化抑制剂(U+NI);5)尿素+脲酶抑制剂+硝化抑制剂(U+UI+NI);脲酶抑制剂采用N-丁基硫代磷酰三胺(NBPT),硝化抑制剂采用3,4-二甲基吡唑磷酸盐(DMPP)。在水稻分蘖期和孕穗期测定土壤脲酶活性、硝酸还原酶活性、土壤铵态氮含量、硝态氮含量以及微生物碳、氮的含量,分析NBPT与DMPP对水稻两个主要生育期土壤氮素供应的影响,比较各处理的产量以及氮肥利用率,通过逐步回归分析研究以上各指标对产量的影响,探明脲酶抑制剂NBPT与硝化抑制剂DMPP在稻田的增效机理。【结果】1)与单施尿素相比,添加NBPT以及NBPT与DMPP配施均显著提高稻谷产量与地上部氮素回收率,两个处理分别增产6.56%与8.24%,氮素回收率提高幅度为19.4%与23.7%。2)与单施尿素相比,添加NBPT以及NBPT与DMPP配施,显著降低水稻分蘖期的土壤脲酶活性和铵态氮含量,显著提高孕穗期的铵态氮含量,而对此时期的脲酶活性无显著影响,所有处理对两个时期的硝态氮含量、硝酸还原酶活性、微生物量碳、氮含量均无显著影响;因此,NBPT对于抑制脲酶活性以及提高铵态氮含量的作用主要在孕穗期之前,而单施DMPP没有显著效应。3)从各项土壤指标与水稻产量相关性的逐步回归分析结果来看,水稻分蘖期与孕穗期稻田土壤中铵态氮含量对水稻产量影响显著,而且孕穗期的影响大于分蘖期,其余指标则对产量无显著影响。【结论】脲酶抑制剂NBPT以及NBPT与硝化抑制剂DMPP配施显著提高孕穗期土壤中的铵态氮含量,显著提高稻谷产量以及地上部氮素回收率,证明了生产上氮肥后移的重要意义。     

生乳储运条件对品质影响的探究

菌落总数是衡量生乳品质的重要指标之一。生乳中菌落总数基数越大,其品质越不稳定。但因为奶源产地等原因,生乳必须经过一段时间运输才能到达乳品企业进行生产,运输过程可能由于微生物繁殖导致生乳品质下降。试验选取菌落总数基数不同的两批生乳,通过在2~6 ℃和10~15 ℃条件下存放,模拟生乳在冷藏储运和脱冷储运状态下,分别储存24 h、48 h、72 h、96 h后进行菌落总数、酒精试验、酸度及脂肪酶活力检测。通过对比,找到生乳最佳储存温度和运输时间,为乳品企业和冷链运输提供参考。     

山西南部苹果花期冻害时空分布特征及综合防御技术

利用1997—2016年山西南部苹果主产县(市、区)苹果花期逐日最低气温及日平均气温观测资料，根据苹果花期冻害等级划分指标，采用最小二乘法对花期冻害日数进行线性倾向估计，并用Mann-Kendall非参数检验方法对花期冻害日数的变化趋势进行显著性检验，分析山西南部苹果花期冻害的时空分布特征。结果表明: 山西省南部苹果产区发生花期冻害日数年均为3.1 d，各县花期均温介于13.0℃~13.8℃之间。运城地区4月中上旬易发生冻害，临汾地区吉县与隰县4月下旬易发生冻害；山西南部苹果花期冻害日数近20 a气候倾向率为-0.666 d·（10 a）^-1（P≤0.01），花期极端最低气温气候倾向率为0.165 d·（10 a）^-1（P≤0.01），花期极端最低气温与冻害日数具有极显著负相关关系。山西南部苹果花期冻害日数突变点在2008年，且在2015年之后苹果花期冻害日数突破α=0.05显著性水平下限。对于苹果花期冻害的综合防御措施，可采用“以防为主，抗补结合”策略。     

幼龄期压砂地枸杞产量和品质多指标耦合灌溉制度优化

为提高宁夏中部干旱带幼龄期压砂地枸杞灌水效率,保障枸杞产量和品质,进行了3水平灌水定额(300、225 m~3·hm~(-2)和150 m~3·hm~(-2))的田间对比试验,采用综合指标增量最优方法对灌溉制度进行了优化。研究发现:枸杞5月上旬萌芽期耗水以土壤蒸发为主,日耗水量0.6～1.2 mm,6月中旬进入夏果花期耗水量增大,日耗水量2.5～3.7 mm,7月中旬枸杞夏果期耗水量继续增大,达2.4～4.3 mm,7月下旬日耗水量最大,为3.2～4.7 mm,8月中旬耗水量下降,日耗水量3.0～4.2 mm。灌水定额对枸杞产量影响显著(P0.05),灌水定额300 m~3·hm~(-2)时产量最高,为1 402.65 kg·hm~(-2);灌水定额225 m~3·hm~(-2)时枸杞多糖、β-胡萝卜素和黄酮较高,含量分别为4.56%、0.15%和0.41%;灌水定额150 m~3·hm~(-2)时枸杞甜菜碱含量较高,为0.77%。进一步通过综合指标增量最优方法进行优化,结果表明β-胡萝卜素含量最高时得到综合指标增量最大,为-5.4%,总耗水量为450 mm。枸杞夏果花期进入需水关键期,阶段耗水量达70 mm以上,进入6月中旬枸杞需水量增大,旬耗水量达29 mm以上。可见,幼龄期压砂地枸杞产量及品质指标均达到最优的耗水量较难获得,但是在β-胡萝卜素含量最高时可以获得产量和品质多指标耦合的最优耗水量,据此进行灌溉制度优化,可以一定程度上实现幼龄期压砂地枸杞优质高产。     

Novel soil quality indicators for the evaluation of agricultural management practices: a biological perspective

Developments in soil biology and in methods to characterize soil organic carbon can potentially deliver novel soil quality indicators that can help identify management practices able to sustain soil productivity and environmental resilience. This work aimed at synthesizing results regarding the suitability of a range of soil biological and biochemical properties as novel soil quality indicators for agricultural management. The soil properties, selected through a published literature review, comprised different labile organic carbon fractions [hydrophilic dissolved organic carbon, dissolved organic carbon, permanganate oxidizable carbon (POXC), hot water extractable carbon and particulate organic matter carbon], soil disease suppressiveness measured using a Pythium-Lepidium bioassay, nematode communities characterized by amplicon sequencing and qPCR, and microbial community level physiological profiling measured with MicroResp^TM. Prior studies tested the sensitivity of each of the novel indicators to tillage and organic matter addition in ten European long-term field experiments (LTEs) and assessed their relationships with pre-existing soil quality indicators of soil functioning. Here, the results of these previous studies are brought together and interpreted relative to each other and to the broader body of literature on soil quality assessment. Reduced tillage increased carbon availability, disease suppressiveness, nematode richness and diversity, the stability and maturity of the food web, and microbial activity and functional diversity. Organic matter addition played a weaker role in enhancing soil quality, possibly due to the range of composition of the organic matter inputs used in the LTEs. POXC was the indicator that discriminated best between soil management practices, followed by nematode indices based on functional characteristics. Structural equation modeling shows that POXC has a central role in nutrient retention/supply, carbon sequestration, biodiversity conservation, erosion control and disease regulation/suppression. The novel indicators proposed here have great potential to improve existing soil quality assessment schemes. Their feasibility of application is discussed and needs for future research are outlined.     

青饲料收获机切碎辊刀具的优化设计及试验

青饲料收获机切碎辊刀具的设计直接影响秸秆的切割质量。刀具与秸秆接触时的受力分析表明，切割力与秸秆的压应力有关，而压应力不仅与秸秆物理特性有关，也与刀刃的倾斜角有关。利用Ansys-Workbench有限元软件进行仿真分析，结果表明,当刀具材料为65Mn、刀具厚度为8 mm、刀尖倾斜角度为30°时，刀具的等效应力最小。以秸秆层厚度、刀具倾斜角、秸秆含水率为试验因素，以切割装置切割秸秆时的扭矩值为试验指标，通过正交试验及交互作用分析，确定了因素对指标影响的主次关系为：A2>C2>B2>A>BC>AC>C>B，当秸秆层厚度7.5 cm、刀具倾斜角度35°、秸秆含水率35%时，刀辊扭矩值最小。验证试验结果表明选取的较优参数组合真实可行。该研究为新型刀具及防堵刀辊的机理研究提供了理论和试验借鉴。     

除草剂减量施用对麦田杂草的防治效果及对叶绿素SPAD值的影响

探讨除草剂减施对麦田杂草的防治效果,以及对小麦生长过程中叶绿素SPAD值变化的影响。结果表明,药后45 d,10%苯磺隆WP 9.00 g/hm~2处理(减施60.00%)、10%苯磺隆WP 9.00 g/hm~2+5%(唑啉草酯+炔草酯)EC 30.00 g/hm~2处理(减施60.00%)、7%双氟·炔草酯OD 63.00 g/hm~2处理(减施25.00%)和28%唑草·苯磺隆WP 16.80 g/hm~2处理(减施33.33%)对麦田阔叶杂草的鲜质量防效分别为98.64%、98.99%、98.54%和98.68%,表明除草剂减量施用对麦田杂草仍具有较好的防效。施用除草剂后,小麦叶片叶绿素SPAD值呈现先下降再上升的趋势。药后3 d、5 d、7 d,28%唑草·苯磺隆WP 33.60 g/hm~2处理(增施33.33%)小麦叶片叶绿素SPAD值显著低于7%双氟·炔草酯OD 63.00 g/hm~2处理(减施25.00%)、10%苯磺隆WP 9.00 g/hm~2处理(减施60.00%)和空白对照(CK)的叶绿素SPAD值,低于其他处理的叶绿素SPAD值。     

中国稻田生态系统服务净价值评估

使用当量因子法和数量模型核算了2007—2016年中国稻田生态系统服务净价值。结果显示:1)2016年中国稻田生态系统提供服务价值为1.344×10~(12)元,服务成本为0.144×10~(12)元,服务净价值为1.2×10~(12)元,平均生态服务净价值为3 977元/hm~2;2)2007—2016年,中国稻田生态系统服务净价值总体呈上升趋势,中东部地区稻田生态系统服务净价值较高,西北地区较低;3)稻田受化肥和农药污染较严重的省份为安徽。研究结论为制定精准的生态补偿机制提供了可靠的参考数据。各省应响应"农业节肥节药"政策,参照稻田生态成本比例有针对性地进行农村污染治理和生态环境保护工作。     

一例湖羊纤维素性肺炎的病理组织学观察

为探究四川省某养殖场湖羊患病情况,以1只发病湖羊为例,研究观察病羊临床症状、解剖变化,采用H.E.染色方法分析病羊实质器官病理组织学变化,并从病羊中分离出菌株Z-1,采用生理生化、16S rDNA基因测序对其鉴定,采用腹腔注射对菌株Z-1进行动物回感试验,纸片扩散法对菌株Z-1进行药敏分析。结果表明:患病羊病症有高热、剧烈咳嗽并伴有喘气,口鼻周围可见黄色浓稠分泌物;解剖变化为多个实质器官明显肿大、充血,肺脏充血、颜色暗红,切开有血样泡沫状液体流出;病理组织切片可见肺、肝、脾等组织细胞肿胀、充血、出血,肺泡腔和细支气管中有大量粉红色纤维素性渗出物,炎性细胞浸润;菌株Z-1为革兰氏阳性菌,乳糖、七叶苷和山梨醇等生化反应呈阳性反应,木糖醇、甘露糖和蜜二糖等生化反应呈阴性反应;16S rDNA基因目的片段长度为1 428bp,与菌株NR_026471的相似性达到98%,综合鉴定为链球菌;动物回感试验表明该菌株对小鼠具有很强的致病性;药敏试验表明该菌株对氧氟沙星、诺氟沙星、环丙沙星和庆大霉素等敏感,对氨苄西林、青霉素和拉氧头孢等耐药。综上,该病湖羊患链球菌感染的纤维素性肺炎。