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报告领导品牌的营销策略
出版时间:2009市场经济的发展,把世界带入品牌竞争的时代。品牌战略成为突出产品竞争优势的重要手段,企业如何使自身拥有的领导品牌在市场竞争中立于不败之势,是企业长期发展战略的重要内容。几乎所有的人都认为品牌战略的理想目标和最高使命就是创建和巩固领导品牌,通常会简单地把市场占有率作为领导地位的衡量指标,认为市场份额的领先者就是领导品牌。市场份额仅仅是一个结果性指标。它不能反映品牌对业务的贡献,不能指示品牌是否进行了恰当的投资,不能判断品牌创建计划和活动是否正确而有效,不能肯定现在所为是否在推动长期价值成长。市场份额仅仅是一个滞后性指标。它不能代表顾客基础和关系,不能代表潜在的购买,不能代表与重要趋势的关联,不能代表延伸的可能,不能代表授权和并购的价值。市场份额不适合于垄断性行业。由于缺乏市场主权和自由竞争,垄断性行业那些寡头们通常拥有极高的市场份额,如果以市场份额为衡量标准的话,就会得出他们是领导品牌中的领导品牌的结论,然而这显然是极端荒唐极端可笑的,寡头的市场份额来自于管制、特权和掠夺,并非为市场和客户创造的价值,一旦取消管制、引入竞争、给予顾客选择权,他们将会被立即打出原形。市场份额不适合于分散行业。由于需求的多样化、低进入壁垒以及缺乏规模经济,很多行业的集中度会长期停留在较低的水平,没有任何一家企业能够获取具有战略意义的市场份额,在这种情况下坚持市场份额作为领导品牌的衡量标准显然是没有意义的。市场份额不适合于进行跨类别比较。由于行业或者产品类别的差异,不同行业或者类别的领导品牌在市场份额上可能相差很远,显然在这种情况下用市场份额来衡量品牌的强度是不可行的。因此,用市场份额衡量领导品牌是存在缺陷的,市场领先绝不等于领导品牌!核心价值超越了简单的数值结果。基于核心价值的品牌评估从市场份额中去除了固定资产和运营效率所产生的价值(产品价值),能够纯粹地识别品牌资产所产生的价值(品牌价值),清晰地反映品牌对业务的贡献,指示品牌是否进行了恰当的投资,判断品牌创建计划和活动是否正确而有效,肯定现在所为是否在推动长期价值成长。核心价值具有前瞻性。因为基于核心价值的品牌评估能够代表顾客基础和关系,代表潜在的购买,代表与未来重要趋势的关联,代表延伸的可能,代表授权和并购的价值,这些因素和未来息息相关,不像市场份额仅仅代表过去。核心价值可以用来评判垄断性行业。因为在市场份额中能归属为品牌价值的部分显然是微乎其微,基于核心价值的品牌评估就能够揭示他们恰恰不是什么领导者而只是脆弱的特权者。核心价值可以用来评判分散性行业。由于分散性行业没有任何一家企业能够获取显著的市场份额,在这种情况下核心价值显然比市场份额有意义得多。核心价值可以进行跨类别比较。由于基于核心价值的品牌评估能够排除行业或者类别差异对市场份额的影响,这就为品牌的跨类别比较创造了可行性的条件。不仅如此,品牌的核心价值还具备战略持久性,价值联想和价值主张能够在相当长的时间内应对动态变化的挑战;核心价值也具备战略延伸性,价值精髓能够跨越不同的区域、产品、顾客、技术、渠道发挥作用;核心价值更具备战略匹配性,能够与重要的市场机会、核心竞争能力随需应变。正因为如此,和市场份额相比,核心价值更能代表领导品牌的本质属性,更适合作为领导地位的衡量标准。领导者最有力的反击武器,就是诉求自己为该领域的领导品牌。消费者通常都有一个根深蒂固的观念,那就是坚信品质最好的产品,最终将会胜出。诉求领导品牌地位,就是顺应消费者这一心智模式,反弹琵琶的结果——消费者会想,既然你能够做到领导地位,那你的品质一定是最好的。当一个品牌在说自己是领导者的时候,如果没有什么特别原因,消费者在下次购买时通常还会选择这个曾经使用的品牌。这样,获取领导地位将是一个公司最为宝贵也是最具持续竞争力的战略。美国一家研究机构跟踪25个行业领导品牌从1923年以来的变化,结果至今为止,只有3个品牌失去了领导地位,其余的22个品牌近80年来一直稳居第一。所以我们经常告诫企业的高阶人员,当你和竞争对手胜负未决时,务必要不惜一切代价投入120%的努力,以争取领导地位。一旦让对手抢去该地位,其结果将是“长期的灾难”。在这个关键时刻,公司最大的敌人反而不是对手,而是公司的财务总监,或者是企业最高决策者的“财务”导向思维——以短衡长,用常规的盈亏预算扼杀企业的未来。一旦取得领导地位后,你需要做的就是在每一个营销传播点上,整合这一强有力的信息。这一战略将巩固你的领导地位,给竞争对手以最有力的打击,尤其是消费者很难具备专家般的好坏辨别知识,也没有更多的消费经验可供依循时,“领导品牌”将是他们的选择标志。如果说建立领导品牌的根本方法是第一个进入消费者心智的话,那么,维护领导品牌最有力的方法,就是强化自己的“原创”概念。20世纪40年代,可口可乐面对百事可乐“双倍量一样价”的重大挑战,还有上百个模仿品牌的围攻,提出了一个强有力的竞争策略——“正宗可乐”。这一策略的力量显而易见,当可口可乐第一次提出这个诉求时,顾客们立刻能心领神会,“是的,是它发明了可乐,它才是原创者,其他的可乐只不过是仿冒品。”原创概念之所以强而有力,是因为这暗示其他产品只不过是仿冒品,“正宗的东西”轻而易举就能占据消费者心智中至高无上的地位。你可以做这样的实验:假如你不知道谁是原创者,你用现在的第一品牌去反推,基本上都会得到正确答案。当你已经是一个品类明显的领导者,并具有遥遥领先的优势后——你的市场份额超过50%;你和第二品牌的市场份额之比是5∶3甚至2∶1——你就不需要时时重申自己是“领导者”或“原创者”了。这时,你可以实施“扩大品类,制造追随”的营销战略。当你已取得这样的优势后,战力再指向内部,其收益将是递减的。扩大品类,作为领导者自然受益最大。另一方面,扩大品类的过程中你会俨然以一个领导者的姿态出现,这样在无形中更加强化你的领导地位。像强生婴儿洗发水,它劝导成人使用婴儿洗发水,类似的还有高露洁曾教育人们增加刷牙的次数,吉列刮须刀提醒消费者及时更新刀片等等,市场业绩表明,这一营销战略相当经典有效。这是最难做到,也是最具威慑力的战略选择,它需要企业决策者高瞻远瞩的眼光、壮士断腕的勇气和魄力,同时要求战略抉择能形成企业的强势文化,驱使企业每一个阶层群策群力始能成功。因此,能真正做到这一点的企业少之又少。英特尔是该战略执行最为到位、最为完美的企业典型,其前董事长安德鲁·葛洛夫的行事哲学也成了全世界企业人的座右铭——只有偏执狂才能生存。营销的本质是企业之间的利益争夺,换言之,营销即战争。领导者要打的是一场防御战,而最好的防御,就是不断攻击自己不断前进。通用电气有一个鲜为人知的举措,公司拨出一笔专款,选出一批类似“黑客”的人才,他们的使命是寻找通用电气的弱点并实施攻击,其绩效考核就在于击倒多少个通用的产品。当你实施这种战略时,一定要时时地传播这个讯息给公司各方人员:“攻击自己是一场不会输的战争”。企业通常会犯两个毛病。第一个是自高自大,自视为正规军,嘲笑后进者;第二个是静观其变,要命的是,企业高层人士往往还误以为这是处变不惊。然而,一旦等对手在消费者心智中建立第一印象,以后的战局将是十倍速的变化,想要追赶都来不及,更遑论封锁竞争者。如果你能克服这两个毛病,事情就相对简单了。不过要实施封锁战略前,你务必还要做一番准备,那就是“预备金储备”。有了良好的储备,又能密切重视竞争行为,你就可以展开封锁行动了。首先,可以采用价格封锁。价格是领导者通常最易被攻击的地方。当百事可乐推出12盎司大包装的“双倍量一份价”攻击可口可乐,可口可乐去掉6.5盎司的包装,跟进12盎司大包装,优势又重新回到可口可乐的手中。这一策略不仅能捍卫你的领导地位,有时还会令你借此一飞冲天,市场地位牢不可拔。其次,可以用分品牌封锁。当新的竞争出现时,大多数企业人视其为威胁,但是事情有两面性,新竞争者的出现往往带来公司再上新台阶的机会,领导者最有资格也最有实力和能力来把握住新机会——你只需要模仿竞争者就行了。但关键是,你要用一个新的品牌去占有新的机会,因为旧有品牌所代表的是你的历史,而带有历史包袱是走不进未来的。当宝洁的象牙香皂红级一时,市场出现了洗衣粉的机会,按传统的做法,当然是推出象牙牌洗衣粉,要是这样的话,你就见不到今日的宝洁了。它的做法是推出洗衣粉品牌汰渍。当洗发水的机会出现时,宝洁也没有用象牙洗发水或汰渍洗发水进入市场,而是推出飘柔、海飞丝……宝洁把握住了一个又一个机会,终于把企业推至今日的巨无霸地位。最后,采用购并封锁。如果领导者什么都错过了,那仍有一线机会可以把握,就是通过购并竞争者以重获市场的主导地位。目前的购并行为有一个相当大的陷阱,也是资本市场上主流的意识——购并的唯一判断标准是优势是否“互补”。这真是个错得离谱的观念,与事实相去甚远。我们曾做过相当多的购并研究,发现这种以“互补”为前提的购并结果实在不妙。购并只有是为了获得市场的主导权时才有成功的机会。我们有一个很重要的观点却鲜有人领悟。那就是:当你成为某个行业领导品牌的时候,你只是刚刚抵达了企业经营的起点而已,对你而言,从此有资格来经营新的机会。可惜太多的企业总裁在一个领域取得成功后,就对该领域丧失了进取兴趣,转而对进入新行业、对发现新机会兴致勃勃。在全球化的竞争中,这种企业不堪一击。相反,如果企业能在取得领导地位的既有领域,逐步用新的品牌出击新机会,或者用新品牌封锁竞争者,利用好每一次机会,它将把企业推上一个又一个台阶。 -
报告Primary Study on Screening Bacteria to Protect Soybean Seedling From Low Temperature
出版时间:2007低温胁迫是植物栽培中常常遇到的一种灾害,它不仅会导致植物产量降低,严重时还会造成植株死亡[1]。在北方高寒地区,低温常常成为大豆出苗的主要限制因子[2],春播大豆常因早春低温而延迟出苗,降低出苗率,增加感病的机会,降低幼苗的生活力,导致群体出苗不齐[3]。大豆的低温冷害敏感时期为6月和8月,有研究认为,低温年也是大豆低产年,一般减产28.2%~34.8%,减产原因是由于大豆生育期间所需积温不足,特别是6月份气温低导致营养生长期、生理活性减弱而影响苗期正常生育,推迟了分蘖、开花、成熟等发育阶段,回归分析6月份平均气温每增减1℃,每亩单产增减15~20kg[4]。大豆是我国的主要油料作物之一,具有较高的经济价值和食用价值,在国民经济中占有重要地位。但每年因低温冷害和病虫害的侵袭,大豆的产量已受到严重损失。如何解决大豆的低温冷害问题是目前东北地区着力研究课题,虽然人们已从合理耕作施肥和促早熟以及提高大豆抗寒性等多方面进行研究,并取得一些成果,但目前提高大豆抗寒性的方法是使用一些化学物质或者抗寒剂等,这对作物品质和土壤可能会造成一定的影响。而土壤是微生物的大本营,必定会存在一些真菌或细菌能够诱导植株产生抗寒性。本研究旨在从大豆根际土壤中筛选出能够提高大豆抗寒性的细菌菌株,为防御大豆低温冷害、促进增产增收打下基础。沈阳农业大学线虫研究室保存的细菌菌株,主要分离自大豆和黄瓜根际土壤。1.2 供试大豆品种辽豆10号,由辽宁省农业科学院提供。1.3 保护性细菌的筛选1.3.1 大豆种子表面消毒 挑取饱满的大豆种子,先用75%酒精消毒3min,再用无菌水冲洗3遍。1.3.2 细菌菌悬液的配制 细菌纯化后,在培养细菌的培养皿中加入适量无菌水,静置2min,配成109CFU/ml 的菌悬液。1.3.3 将上述消毒后的大豆种子放入不同的细菌菌悬液中浸泡,每皿10粒,约处理5min,使大豆种子表面充分附着细菌。1.3.4 将附着细菌的大豆种子放入灭菌的大培养皿中,内装灭菌土壤,在室温约25℃下使其萌发,并按时浇无菌水。以无菌水浸泡的大豆种子为对照。1.3.5 室内生长7天后,将其放置于冰柜中,控制温度在2℃以下,处理72h。再将其置于室温约25℃下生长。2天后检查,对保护性细菌进行筛选。通过室内筛选,有4株细菌处理过的大豆幼苗经过低温处理后没有表现出低温冷害症状,生长良好,而且须根较多,长出真叶(图1)。说明是这4株细菌能够保护大豆苗免受低温冷害,诱导大豆幼苗产生了明显的抗寒性。Figure 1 The growing status of soybean seedlings treated with low tempetature and comparison不同细菌菌株处理大豆种子对大豆的发芽率有一定的影响。与对照相比,在235株细菌中,促进大豆发芽的细菌菌株有83株,抑制大豆发芽的细菌菌株有152株。不同细菌菌株处理大豆种子对幼苗的生长有一定的影响,与对照相比,在235株细菌中,促进大豆幼苗生长的菌株有45株,抑制大豆幼苗生长的菌株有190株(表1)。发芽率(%)Ratioofburgeon菌株数/strainNumberofstrains茎长(cm)Lengthofstem菌株数/strainNumberofstrains≤4025≤5.04750205.1~6.03660266.1~7.04170367.1~8.04480458.1~9.02790649.1~10.02010019≥10.02080CK8.3CKTable 1 Ratio of burgeon and length of stem treated with different bacterial strains通过室内筛选,有4株细菌能够保护大豆幼苗免受低温冷害,生长良好,展开子叶,长出真叶,而且须根较多。但在这4株细菌中nemab60和nemab69比nemab56和nemab218的效果更好。不同细菌菌株处理大豆种子后,对发芽率有一定的影响。有的细菌有促进发芽作用,有的细菌有抑制发芽作用。而且对幼苗的生长也有一定的影响。有的细菌能够促进大豆幼苗生长,有的细菌能够抑制大豆幼苗生长。多数研究表明,植物的抗冷性与细胞的含糖量呈正相关,但也有少数不相关[5]。有人在研究棉花抗冷性与其可溶性糖含量的变化关系中得出结论,可将低温处理后可溶性糖的提高率作为划分棉花抗冷级别的生化指标之一[6]。冯乃杰等[7]研究表明低温胁迫时化控处理提高了POD和SOD的活性,丙二醛的含量增加的幅度减小,因而可减少膜质过氧化作用对细胞的伤害。可溶性糖含量增加,可为植株在低温时提供更多的能量物质,细胞的渗透势得到调节,降低了结冰点,提高了细胞的抗寒能力。不同细菌菌株处理大豆种子后,低温保护性细菌能够诱导大豆幼苗产生抗寒性。由于本试验仅为初步研究,没有对低温胁迫下保护性细菌处理的大豆幼苗的生理生化变化进行研究。今后,将进一步研究以探究低温保护性细菌诱导大豆幼苗产生抗寒性的机理。 -
报告Effects of Secondary Metabolites of Actinomycetes on Secondary Juvenile Mortality of Heterodera Glycines*
出版时间:2007大豆胞囊线虫,Heterodera glycines Ichinohe(1952),(soybean cyst nematode)是世界性分布的大豆主要病害之一。我国大豆胞囊线虫分布广,由于大豆各产区具有地理环境的复杂性和种植品种的多样性,造成了该病的极难防治。随着可持续农业和有机农业的发展,大豆胞囊线虫病的生物防治已经受到了国内外的广泛重视[1]。放线菌作为抗生素的主要产生菌,其代谢途径复杂,产生的次生代谢产物在结构类型和生物活性等方面都呈现出与细菌和真菌不同的特点和多样性 [2,3]。很多放线菌的代谢产物如阿维菌素(Avermectins)、南昌霉素(Nanchangmycin)等都具有较高的杀线虫活性。大豆胞囊线虫作为一种专性寄生物,存在明显的生理分化现象。一个线虫田间群体不是寄生性整齐一致的单一小种,连续种植抗病品种,由于抗病基因对线虫群体的选择作用,田间线虫的生理小种类型会发生改变[4]。田中艳等报道了安达盐碱地作物研究所的大豆田多年种植抗病品种后,大豆胞囊线虫生理小种发生了变异,该试验地里就含有3号、4号和14号多个不同的生理小种[5]。大豆胞囊线虫二龄幼虫也称为侵染性幼虫,控制二龄幼虫侵染大豆根部是防治大豆胞囊线虫病的关键,而成功的生防菌应对大豆胞囊线虫不同生理小种不具有专化性。因此,研究生防菌对大豆田间混合胞囊线虫群体的作用具有重要的意义。本文分别研究了生防放线菌对大豆胞囊线虫3号生理小种越冬胞囊和新鲜胞囊孵化的二龄幼虫的活性,以及测定了对田间不同小种群体的胞囊孵化的二龄幼虫毒杀活性,以期筛选获得高效而稳定,并能够适应不同致病型的胞囊线虫混合群体的生防放线菌菌株。本试验采用的菌株C25-3分离自吉林省辽源市,H-4和H-2分离自黑龙江省哈尔滨市延寿县,C44和C49分离自辽宁省沈阳市。1.2.1 大豆胞囊线虫3号生理小种新鲜胞囊和二龄幼虫的获得 将感病品种辽11种植在3号生理小种严重感染的病土中,一代胞囊成熟后挖出整个根系,体视镜下挑取根上的新鲜胞囊,选取新鲜饱满成熟的胞囊在0.5%NaOCl 溶液中消毒3min,无菌水冲洗3遍,在25℃于无菌水中孵化二龄幼虫。每天及时收集新孵化出的二龄线虫。1.2.2 大豆胞囊线虫3号生理小种越冬胞囊和二龄幼虫的获得 春季从沈阳农业大学北方线虫学研究所试验地大豆胞囊线虫3号生理小种繁殖圃采集土样,采用改良淘洗—过筛法分离胞囊,在体视镜下用自制的玻璃挑针挑出饱满成熟的胞囊。胞囊在0.5%NaOCl 溶液中消毒3min,无菌水反复冲洗3次后,在25℃、0.5mmol/L ZnSO4·5H2O溶液中孵化二龄幼虫。及时更换处理液并收集新孵化出的二龄线虫。从黑龙江省农业科学院大庆分院安达盐碱地作物研究所大豆育种基地随机五点取样,采用改良淘洗—过筛法从土壤中分离胞囊。孵化方法同1.2.2。取制备好109cfu/ml的菌悬液放到马铃薯培养液中振荡培养7天,5000r/min 离心10min,上清液稀释4倍,放入4℃冰箱中备用。在0.6ml发酵滤液中加入新孵化的J2,24h后观察线虫的死亡情况,重复3次。以无菌水作为对照。线虫死亡率(%)=死亡线虫数/供试线虫数×100%校正死亡率(%)=(处理线虫死亡率-对照线虫死亡率)/(1-对照线虫死亡率)×100%28℃条件下振荡培养7天得到的发酵液经离心后,在4×稀释浓度下,24h对大豆胞囊线虫3号生理小种新鲜胞囊孵化的二龄幼虫均有一定的致死作用。试验结果表明,C25-3处理的二龄幼虫校正死亡率达到95.23%,活性最高,与其他菌株相比差异均显著。H-2、C49和H-4对二龄幼虫校正死亡率相近,均达到70%以上,C44对二龄幼虫的校正死亡率为62.80%,活性最低,但均与对照相比达极显著差异水平(表1)。StrainsMortalityofjuvenile(%)ⅠⅡⅢAverage(%)Correctedratio(%)C25-3100.093.3392.8695.40aA95.23H-477.7869.2372.7373.25bcBC72.30H-286.3680.0071.4379.26bB78.53C4981.2571.4378.5777.08bBC76.27C4455.5670.0066.6764.07cC62.80CK5.005.260.003.42dD—Table 1 The effect of different strains to SCN J2 of young cyst of race 3试验结果表明,C25-3对大豆胞囊线虫3号生理小种越冬胞囊孵化的二龄幼虫有较高的毒杀作用,发酵液稀释4倍处理24h后,二龄幼虫校正死亡率达到94.84%,与其他几株相比差异均极显著。C49、C44、H-4和H-2对处理的二龄幼虫校正死亡率差异不显著,均在70%左右。5株菌与对照相比均达极显著差异水平(表2)。StrainsMortalityofjuvenile(%)ⅠⅡⅢAverage(%)Correctedratio(%)C25-3100.0091.6792.8694.84aA94.84H-479.1760.0070.0069.72bB69.72H-264.2986.6762.5071.15bB71.15C4970.0072.7370.0070.91bB70.91C4455.5675.0077.7869.45bB69.45CK0.000.000.000.00cC—Table 2 The effect of different strains to SCN J2 of old cyst of race 3试验结果表明,5株菌对田间混合群体的大豆胞囊线虫J2均有不同程度的抑制作用,与对照相比达极显著差异水平。其中C25-3处理后J2的校正死亡率达96.59%,与其他几株相比差异均极显著。H-4对二龄幼虫的活性次之,校正死亡率为87.29%。C44和H-2为中等水平,校正死亡率分别为64.05%、73.97%;C49的活性最低,校正死亡率仅为53.13%(表3)。StrainsMortalityofjuvenile(%)ⅠⅡⅢAverage(%)Correctedratio(%)C25-3100.0090.00100.0096.67aA96.59H-472.73100.0090.0087.58aAB87.29H-280.0080.0063.6474.55bBC73.97C4470.0054.5570.0064.85bcCD64.05C4975.0063.6472.7354.17cD53.13CK0.000.006.672.22dE—Table 3 The effect of different strains to SCN J2 of different races本研究结果显示,筛选出的5株放线菌菌株中,C25-3对J2的活性最高,另外,C25-3,H-2和C44对大豆胞囊线虫J2的毒性不因线虫的致病性和活性差异而改变,而C49和H-4表现出因线虫的致病性和活性差异而改变的特性。目前,人们正在探索如何筛选高效、稳定的线虫生防放线菌的方法。Skantar根据胞囊孵化时间的快慢将大豆胞囊线虫的胞囊分为TN17和TN18两种类型,室内研究了格兰德霉素(Geldanamycin)对TN17和TN18孵化的二龄幼虫活性的影响。结果表明:格兰德霉素对来源不同的胞囊孵化的二龄幼虫活性有一定的差异[6]。本文研究的不同放线菌次生代谢产物对胞囊混合群体孵化出的二龄幼虫毒杀活性表现出差异,说明生防菌对J2的作用机制不同,这可能是由于大豆胞囊线虫的生理分化而导致二龄幼虫的抗性存在差异;还有可能是放线菌的次生代谢产物复杂,往往含有多个有效组分,导致对不同胞囊来源的二龄幼虫的活性存在差异。生防放线菌是一种很有潜力的生物防治资源,对于活性菌株的次生代谢产物中活性物质的分离纯化以及安全性评价还有待进一步研究。生防放线菌除产生抗生素之外,还可能同时具有多种生防机制,必须全面分析和利用,才能达到最佳的防治效果,从而控制大豆胞囊线虫的为害。 -
报告Strategies to Prevent Spread of Leptosphaeria maculans(Phoma Stem Canker) onto Oilseed Rape Crops in China; Costs and Benefits
出版时间:2007Field experiments in Europe have shown that Chinese cultivars of winter oilseed rape(Brassica napus)are very susceptible to the pathogen Leptosphaeria maculans(cause of phoma stem canker).Climatic and agronomic conditions in China are suitable for L.maculans since the closely related but less damaging pathogen L.biglobosa occurs on the winter and spring oilseed rape crops there.Major gene resistance to L.maculans is not durable;when introduced into commercial oilseed rape cultivars it is rapidly rendered ineffective by changes in the pathogen population.The threat to Chinese oilseed rape production from L.maculans is illustrated by the way in which L.maculans has spread into other areas of the world where previously only L.biglobosa was present,such as Canada and Poland.Models have been developed to describe the spread(in space and time)of L.maculans across Alberta province,Canada,based on survey data collected over a 15-year period.These models have been used to estimate the potential spread of L.maculans across the Yangtze river oilseed rape growing areas of China and its associated costs.Short-term strategies to prevent occurrence of severe phoma stem canker epidemics in China include training of extension workers to recognise symptoms of the disease and use of PCR-based diagnostics to detect the pathogen on imported seed.Long-term strategies include the introduction of durable resistance to L.maculans into Chinese oilseed rape cultivars as a component of an integrated disease management programme.The costs of such strategies in relation to costs of a phoma stem canker epidemic are discussed. -
报告Occurrence and Control of Main Seedling Stage Diseases in Stevia rebaudiana Bertoni
出版时间:2007甜菊(Rebaudiana Bertoni或Rebaudiana Bak)为菊科斯台维亚属多年生半木质草本植物,又名甜叶菊、甜草、糖草,原产于南美的阿根廷、巴拉圭、巴西三国交界处500~1000m的高山草地上。其叶内主要物质——糖苷,具有高糖低热特性(甜度是蔗糖的300倍,热量仅为蔗糖的1/300),自1975年被日本首先投产于食品工业应用以来,现已被世界上许多国家应用到食品、医药、酿造等方面。济宁市于20世纪90年代初开始引种栽培,到目前已发展到1.5hm2左右,成为全国最大的甜菊种植基地。随着种植时间的延长和种植面积的不断扩大,甜菊病害不断加重,特别是苗期病害,由于甜叶多采用弓棚育苗,春栽种育苗时间一般在2月下旬,常常遭遇低温,棚内温湿度不宜控制,病害容易发生,经常因防治不当,苗床大量死苗或移栽后造成大量死亡。几年来笔者针对为害较大的甜菊苗期病害的发生及防治进行了试验研究,现总结如下:该病是甜菊苗期最重要的一种病害。据笔者几年调查,新苗床30%以上,老苗床50%以上可发现该病害。特别是老苗床,如不注意温湿度管理和及时防治,整个苗床可在几天基本死光,为害很大。是所有甜菊种植区均能形成为害的一种病害。1.1.1 症状 主要症状是在茎基部靠近地表处产生椭圆形暗褐色病斑,随病情发展,病斑扩大后可绕茎一周,凹陷收缩,干枯,导致幼苗整株死亡。1.1.2 病原 甜菊立枯病菌为丝核菌(Rhizoctonia solani Kuhn),属半知菌类,丝核菌属(有性世代,一般情况下很少出现),以菌丝体繁殖,初生菌丝无色有气泡,后期呈黄褐色,较粗大,菌丝直径5~14μm,分枝处稍细,有一横隔,呈直角分枝。该病菌生存能力较强,在0~40℃均能生长,以15~26℃为最适发育温度。1.1.3 侵染循环 立枯病菌以菌丝体和菌核在土壤中和病残体上越冬,是病菌的主要侵染来源,遇到合适的寄主和适宜的环境条件即可侵入为害。病菌可通过人、畜、农具携带,以及借肥料、流水、风、雨等进行传播。1.1.4 发病条件 立枯病的流行,首先是土壤中存在大量的病原菌。湿度大、湿度适宜则发病重。凡地势低洼、排水不良的土壤发病重,重茬地、旧苗床残菌多、发病重。1.2.1 症状 该病可从种子发芽时侵染或从茎基部侵入,使幼苗呈褐色水渍状死亡或在茎基部始出现淡黄色水渍状斑,在条件适宜的情况下病斑逐渐扩大,受害茎部变细,水浸状烂断,导致整株死亡。1.2.2 病原菌 该病原菌为镰刀菌(Fusarium spp.)属半知菌类,丛梗孢目,镰刀菌属。菌丝无色,多分枝,分生孢子有两种:小孢子圆形或椭圆形,单胞;大分生孢子镰刀状,两端弯曲,尖端细,由5个左右的细胞组成。1.2.3 侵染循环 该病菌是一种腐生性较强的兼性寄生菌,能在土壤中腐生,是侵染的主要来源。当遇到适宜的条件即可侵入为害。农事操作、流水、风、雨等可以造成传播。1.2.4 发病条件 在幼苗出土不久,如遇低温、多雨、苗床积水、土壤黏重、透气性差可造成该病的流行,重茬地、旧苗床发病重。据资料记载,该病只在长江以南地区为害甜菊。但据笔者近几年的调查、分离,证明济宁不少县区均有该病发生,且能在甜菊整个生育期为害。1.3.1 症状 发病部位是接近地面的茎基部,受害后表皮上出现暗褐色至黑色水渍状斑,湿度大时,经5~7天,病处可出现灰白色的霉状物,取病部组织在保湿条件下培养,可见到洁白色的菌丝体。病菌向下发展,为害根部,破坏根系,使植株基部叶片变黄,顶部叶片枯萎死亡;病斑向茎周发展破坏皮层组织,使水分、养分不能正常运输,植株失水、叶片发黄而逐渐死亡。1.3.2 病原菌 甜菊白绢病原菌(Sclerotium rolfsii Sacc)属半知菌类,小类菌属。菌丝白色、线性,能形成菌丝束和球形菌核。病菌有时可产生有性世代的担孢子。该病原菌寄主范围广,可侵染60余科210多种植物,主要有烟草、番茄、马铃薯、茄子、棉花、甘蔗、大豆、西瓜等。1.3.3 侵染循环 该病菌以菌核或菌丝体在土壤中及病残体上越冬,成为侵染的主要来源。在条件适宜时,病菌可从茎基部的表皮直接侵入或从伤口侵入,使病部组织腐烂,造成死苗。农事操作、流水、昆虫可传播病害,种子也能带菌传染。1.3.4 发病条件 该病害的发生流行与土壤温湿度关系密切。据试验,14~26℃是病菌发育的最佳温度范围。湿度大、排水不良、低洼地发病重,干旱年份发病轻。连作地发病重,施未腐熟的有机肥易发病。2.1 由于以上3种病害均是以菌丝体等在土壤中越冬,故进行土壤消毒是有效的防治方法。用50%的多菌灵或托布津可湿性粉剂,每平方米10g左右,加干细土15kg左右拌匀,一半在播种前作为垫土,一半盖在种子上,或用70%五氯硝基苯可湿性粉剂和50%福美双可湿性粉剂每平方米8~10g 按1:1混合,同上法处理。2.2 选择地势稍高、排水好、疏松的土壤为育苗地,施用腐熟的有机肥或生物肥。2.3 合理轮作,避免重茬育苗和使用旧苗床。2.4 苗床避免大水漫灌。发现病株及时拔除,并在病株周围撒石灰进行消毒,同时应及时喷药,防止病害蔓延。可用药剂为75%百菌清可湿性粉剂500~600倍液或50%甲基托布津可湿性粉剂800倍液,或20%甲基立枯磷乳油700倍液、70%敌克松 1000倍液、50%福美双可湿粉500倍液、64%的杀毒矾可湿性粉剂500倍液,间隔7~10天连用2次。若每平方米用50%五氯硝基苯可湿性粉剂和50%代森锌可湿性粉剂各3~5g,对水1500ml,喷洒苗床周围土壤,控制病菌蔓延;在菊苗移栽定植前选择广谱性杀菌剂如百菌清、杀毒矾、多菌灵等再喷雾一次,带药移栽定植,效果更好。2.5 培育和选育抗病品种(系)。 -
报告Preliminary Analysis of Relationship Between Rice Stripe Virus Incidence and Rice Grain Yield Loss
出版时间:2007水稻条纹叶枯病是由灰飞虱传播的发生严重的病毒病,近年来,在浙江北部稻区呈快速蔓延扩大趋势,对水稻安全生产构成极大威胁。为了调查测定水稻条纹叶枯病为害与损失,为制订防治指标提供科学依据,2005~2006年我们在浙江嘉兴对水稻条纹叶枯病为害损失进行较为系统的测定,现将结果综合整理如下:单季晚稻,秀水09。在4月下旬采用生物法测定当地灰飞虱带毒率。自5月15日播种后,每隔3~5天调查秧田期灰飞虱虫口密度;6月15日移栽后,每隔5天调查本田初期灰飞虱密度,于发病后(6月下旬)开始每隔3~5天定点调查水稻丛发病率、株发病率。于病情稳定后(8月15日),根据田间自然发病情况,选取不同发病率(形成发病梯度)的点59个,每个点抽查20丛(200株),调查株发病率,待水稻成熟后单丛考种测产。据生物法测定,灰飞虱带毒率为2.01%。5月中下旬调查,秧田期灰飞虱虫量平均每平方米213头,推算带毒虫量平均每平方米为4.473头。本田期病情稳定期调查,水稻株发病率平均为4.88%,二者之比为1:1.091,见表1、表2。调查日期(月/日)成虫数(头/m2)若虫数(头/m2)合计虫量(头/m2)折合667m2(亩)虫量(万头)5/207070.46675/23193221.46675/26292312.06675/29815865.73346/4145915410.26676/81961721314.20016/121842420813.86676/151653920413.6001表1 秧田期灰飞虱虫量调查(浙江嘉兴,2006)调查日期(月/日)定点丛数调查株数发病丛数发病株数丛病率(%)株病率(%)6/2020062000006/2420086000006/28200136015197.51.46/3020013602429122.17/320018603241162.27/520019003692184.847/720019003692184.847/10200205040100204.887/1720021804310221.54.65/152002180399719.54.45表2 本田期条纹叶枯发病的系统调查(浙江嘉兴,2006)水稻条纹叶枯病株发病与产量损失率关系测定结果,平均株发病率为0.5%~11.5%,产量损失率为0.33%~9.02%。株发病率与产量损失率二者之比为1:0.576~1.01,平均为1:0.792,见表3。随着水稻发病株率(X)上升,产量损失率(Y)加大,两者具密切的相关性,建立的关系式为:Y=0.4768+0.7276X,r=0.8898**。株发病率(%)水稻200穗产量(g)产量损失率(%)株病率与损失率之比0.0(对照)524.20.5522.50.330.661.0518.91.011.011.5518.11.160.7732.0514.71.820.912.5616.61.440.5763.0509.72.760.923.5508.92.910.8314.0507.343.210.8034.5504.63.730.8295.0504.73.730.7465.5501.64.320.7856.0502.04.240.7076.5501.74.290.667.0493.55.870.8397.5490.06.520.8698.0488.66.800.858.5489.26.670.7859.0490.46.460.71810.0483.67.750.77511.5476.99.020.784对照(0.0)524.2表3 水稻条纹叶枯病发病率与水稻产量损失率测定(浙江嘉兴,2005~2006)大田调查测定结果表明,水稻条纹叶枯病发生与灰飞虱虫口密度高低和带毒率具有密切相关性,随着灰飞虱虫口密度提高,为害程度上升,产量损失率加大,建立了为害损失关系式。条纹叶枯病发病株率与产量损失率之比,2年测定结果为1:0.576~1.01,平均为1:0.792。田间调查表明,水稻条纹叶枯病发病后,前期稻苗大多枯死,对产量损失大。该调查结果为条纹叶枯病发病为害损失评估,制订防治指标提供科学依据。 -
报告Selection of the Predicting Factors for Rice Stripe Virus and the Application of Forecasting Model
出版时间:2007RSV(Rice stripe virus)is a kind of viral disease transmitted by Laodelphax striatellus(LS).Once paddy rice infected with the virus,it is difficult to control the disease which would cause great loss of rice production.In recent years,as the cropping system changed and climatic conditions suited,the trend of Rice stripe virus RSV disease tend to go up acutely in north part of Zhejiang,especially in Jiaxing and Huzhou.The two cities became the most severe area Rice stripe virus RSV occurred.The RSV forecasting and prediction was the foundation to control and prevent the disease.From 2005 to 2007,we selected the key predict factors based on the study of RSV occurrence patterns established forecasting model and predicted the disease successfully in 2006 and 2007.The integrated results reorganized as following:In the observation area,investigate the quantity of LS in wheat field,the seedling field time and rice growth stage,analysis the RSV disease rate under the conditions of different pest amount.Determine the disease rate of the winter generation of LS with quick-detection method and biological assay,compare the conversion relation between the two methods,and investigate the disease condition in the steady-going periods,analysis the relation between the carrier rate and the occurrence of the disease.Sow the seeds in four stages equally in 2006 and 2007,the sowing time respectively be May 15,on May 22,on May 29 and on June 5.There is 7-days interval between every two stages,duplicates 3 times in each stage,and the field area is 333m2in each plot.Sow the seeds by stages,transplant the seedling in turn when they are 30-days-growing periods.In the steady disease occurring time,investigate cluster disease incidence and individual disease incidence,analysis the influence of sowing time did on RSV.In the steady disease occurring time,do a large-area survey of RSV disease on the main paddy rice variety in the whole city,observes the anti-(bears)degree of each variety to RSV.Collect historical materials including cultivation,planting,variety and meteorology,analysis the relations between them and the plant disease.Use has gradually regression and simulating model methods to set up forecasting model,and predict the disease trend.2.1.1 The carrier rate of LS In 2005,2006 and 2007 we determined the carrier rate of LS by biological assay in Xiuzhou area,the city of Jiaxing,Zhejiang province.The results were 0.0%,2.01%and 2.69%respectively.We had a survey in the unprevented field in the steady disease occurring time in the middle ten days of July,and the result showed that disease conditions among the fields were remarkably different.The carrier rate could not be tested in 2005,so the disease was not serious and the average diseased cluster rates of early planting field,middle time planting field,late planting field were 3.1%,1.2%and 0.0%respectively.The disease aggravated in 2006,the carrier rate increased to 2.01%and the average diseased cluster rates of early planting field,middle time planting field,late planting field were 18.5%,10.1%and 1.2%respectively.When the carrier rate was 2.69%,the disease continually aggravated and the average diseased cluster rates of early planting field,middle time planting field,late planting field were 21.5%,16.5%and 1.5%respectively.It showed that the carrier rate affected the prevalence of disease directly,and the relationship between the two was very close.The higher the carrier rate was,the greater the disease incidence would be,instead the disease incidence lighter.According to the Japanese experience,when the carrier rate(qick-detection method)is more than 3%,the prevalence of RSV is more likely to happen.If the carrier rate >12%,there would be a seriously epidemic trend.According to the comparison of carrier rate and biological assay in recent years,the results tested by the two methods were different.The result of biological assay was significantly lower than that qick-detection method,and the ratio was about 1:1.75.Therefore,we chosed biological assay for prediction.When the carrier rate >1.71%,the disease had moderate trend,when the carrier rate >6.86%,there was a pandemic disease trend.YearInfestingnymphes(%)Infestedhill(%)EarlysowingMidsowingLattersowing20050.003.11.20.020062.0118.510.11.220072.6921.516.51.5Table 1 The relatonship between the rate of viruliferous LS and the ccurrence of Rice stripe virus RSV (Xiuzhou Jiaxing,2005~2007)2.1.2 Amount of LS Under certain conditions of carrier rate,amount of LS is an important factor to determine whether the RSV would be prevail or not.The higher the volume of insects was,the greater the incidence was,instead the incidence lighter.In recent years,amount of LS continued increase.In years 2005,2006,2007,the amount of first generation LS per 667m2 in wheat field reached 2.98 million,2.877 million and 4.093 million.LS transferred to the nearby weeds or other crops after the wheat harvest.They moved to the seedling when rice is planting and caused RSV occurring.It has been observed that the first peak incidence(7/early) caused by the first genenration LS generation was more serious than the second peak incidence(8/early)caused by the second generation insect,because the first generation LS had a large amount a high rate of virus spreading.But as the second generation LS lived in high-temperature season,the insect amount of was small and rate of virus spreading was low,so the disease was lighter.2.1.3 Sowing date of paddy rice Paddy rice sowing date is an important factor to influence RSV.The incidence would be heavier when the sowing time was sooner,otherwise the incidence was lighter or even not onset.We had a investigation in a stable condition period(mid-July)among different rice sowing time in years 2005~2007,and found that sowing time were closely related to the occurrence of diseases.For example,in accordance with the four sowing times in 2006,the cluster disease rates were 18.5%,10.0%,5.67%and 1.5%in turn,the individual disease rates were 4.07%,2.69%,1.89%and 0.42%in turn.With the sowing time delayed,the disease lightened.Among the four sowing times in 2007,disease in early planting field was the most serious,the cluster disease rates were 16.2%and 16.67%respectively,the individual disease rates were 5.18%and 7.31%respectively.Disease in late planting field was light,the cluster disease rates were 2.7%and 1.5%respectively,the individual disease rates were 1.9%and 0.7%respectively.YearSowingdateInfestedhill(%)Infestedplant(%)Dup1Dup2Dup3Aver0.050.01Dup1Dup2Dup3Aver0.050.01200620075/1517.516.521.518.50aA4.163.164.884.07aA5/2210.510.59.010.00bB2.553.332.182.69bAB5/296.04.56.55.67cC2.021.072.571.89bBC6/52.00.52.01.50dD0.630.130.500.42cC5/1516.017.015.516.20aA6.225.214.115.18aA5/2218.015.516.516.67aA9.315.826.807.31aA5/293.03.02.02.70bB2.472.350.891.90bB6/52.01.01.51.50bB0.770.680.640.70bBTable 2 RSV occurrence in different sowing date (Nanhu Jiaxing,2006~2007)2.1.4 Cultivation and planting system In recent years,the wheat area has expanded,which wasconducive to the survival and reproduction of the overwintering generation and first generation LS.A wide range of weeds in the field create good conditions for the insects to transit to the rice.According to the observation in 2006,that disease rates of all rice seedling fields near the wheat field was evidently higher than fields away from the wheat field.In the directseeding fields,disease rates in the verge was evidently higher than that in the medial part of the field.As a result of the sowing time was early in the transplanting field,the seedlings were easily infected by massive LS and the disease arised heavily.2.1.5 Paddy rice varieties There are certain differences among different varieties of RSV,generally,disease of sticky rice was heavier than late rice,disease of hybrid Japonica ricewas heavier than ordinary late rice,disease of Late japonica rice was heavier than mid japonica rice,desease of indica rice was lighter.Speaking of the present Zhejiang Jiaxing paddy rice,the disease resistance of the main varieties are all poor. A general disease survey in 2006 showed that the disease of Show You No.5 was the heaviest,incidences of Xiushui 09,Xiushui 110,Jiahua No.1 and Jia 991 were also heavier,Jialeyou 2 was lighter,see Table 3.VarietyInfestedplotsInfestedplantInvest.plotsInfestedplotsRate%Infestedplant%Range%Xiusui09391743.61.290~6.23Xiusui11018738.91.130~4.15Jiahua1261038.50.890~4.36Jia99112866.71.520~7.32Xiuyou510990.03.780~11.20Jialeyou29333.30.310~3.11Table 3 The resistance of rice variety to RSV (Jiaxing, 2006)2.1.6 Climatic conditions Winter temperatures directly influence overwinter LS According to information from meteorological departments in Jiaxing City:the average temperature in February-March in 2007 was 10.2°C,1.8℃higher than the same period in 2006,3.6°C higher than 2005.Because the winter temperature continued high,the survival rates of winter generation LS is high and quantity of insect was large.The quantity of overwintering insects was significantly higher than that of 2006,but in 2006 the quantity was higher than that in 2005.The three-body interaction among virus source,media and susceptible.Varieties was the important factor in the prevalence of RSV.Based on the carrier rate and RSV disease rate in the virus-transmitting period,or the relation between the early and late disease rate,key predictors was screened and a forecasting model was established as following:Y=1.6893X-1.6935X-carrier rate of LS,Y-RSV disease rate.There were many key factors which were conducive to the transition and migration of LS,for example,a higher carrier rate,a large amount of LS,the poor resistance of the main variety,the coincidence of rice-sowing time with the first adult generation insect virus-transmitting peak,the expanding wheat area a wide range of weeds in the fields and so on.In 2006,we had a comprehensive analysis of these key factors,predicted RSV trend quantitatively with forecasting model on May,18.It predicted that RSV disease would be moderate biased towards popular while measured result was moderate pandemic,the incidence area of the whole city was up to 15500 hectares.Compared to the previous year,the carrier rate in 2007 declined slightly,but the quantity of LS increased largely,and the other factors did not change significantly.We had a comprehensive analysis over such factors and predicted RSV disease trend with the forecasting model in April,26.We predicted the RSV disease would be moderately popular in our city and measured moderate pandemic,the incidence area was 16400 hectares.Two years application of forecast indicated that the forecasting time could be earlier if we used this forecasting model and predictors to analysis and forecasting the trend of RSV disease.We can make out accurate prediction in late April and before late May.The predictions above were generally in line with the actual results and provided a scientific basis for"pest control and disease prevention".Using methods of the system investigation and stepwise regression analysis,we screened primary predictors including carrier rate,the LS insect quantity,paddy rice varieties and sowing time,cropping and cultivation system and meteorological forecasting factor.Among these factors,the carrier rate(X)related to the individual rice disease rate(Y)most closely.We established the following forecasting model:Y=1.6893X-1.6935.Using this model and predict factor-integrated analysis,the mid-long period trend of RSV in 2006 and 2007 in Jiaxing City,Zhejiang was predicted and was generally in line with the actual results.The prediction provided a scientific basis for decision making of disease control and the production application has obtained obvious socio-economic and ecology benefits.
