Table 4. Germination (%) <strong>of</strong> untreated <strong>and</strong> treated seeds using paper towel <strong>and</strong> in-soil germination methods (400seeds each; r<strong>and</strong>omized complete block design).Normal a Abnormal Dead seedsVarieties Paper In-soil Paper In-soil Paper In-soiltowel test towel test towel testUntreatedIR62 79.7 ab 91.7 a 16.0 a 5.3 a 4.3 a 3.0 bSARBON 65.3 b 75.7 ab 20.3 a 12.0 a 14.3 a 12.3 abC22 94.0 a 84.0 ab 4.3 b 10.3 a 1.7 a 5.7 abBS1-10 68.0 b 72.7 b 18.3 a 11.0 a 13.7 a 16.3 aHot-water treatmentIR62 86.7 a 85.3 a 5.0 b 7.7 b 8.3 b 7.0 bSARBON 46.3 b 50.3 c 19.7 a 10.3 b 34.0 a 39.3 aC22 92.3 a 94.3 a 5.0 b 4.0 b 2.7 b 1.7 bBS1-10 76.3 a 67.7 b 13.7 ab 25.0 a 10.0 a 7.3 baIn a column under each treatment, means followed by a common letter are not significantly different at the 5% level by Duncan’s multiple rangetest.Relationship between seedborne inoculum<strong>and</strong> disease development in the fieldIn determining the importance <strong>of</strong> a seedborne pathogen,it is essential to relate inoculum production <strong>and</strong>the efficiency <strong>of</strong> the secondary spread to the inoculumthreshold <strong>and</strong> disease severity after establishment.For a monocyclic disease, initial infectionshould be closely related to the initial inoculum providedby the seed. For a polycyclic disease, a lowlevel <strong>of</strong> seedborne inoculum is adequate to begininfection from the seedbed to the main field, <strong>and</strong> increasedisease intensity if climatic or crop-growingconditions are favorable. For instance, in rice blastcaused by P. oryzae with low detection <strong>and</strong> infectionfrequencies, seed-carried inoculum is more importantin temperate or subtropical environments than ina tropical lowl<strong>and</strong> environment. In the former environments,the likelihood <strong>of</strong> seed-carried inoculumbeginning an infection <strong>and</strong> producing a sufficientamount <strong>of</strong> inoculum for secondary infection is higher(Ou 1985).Inoculum level <strong>and</strong> inoculum thresholdsIn seed health testing for certification, the inoculumthreshold <strong>of</strong> seedborne pathogens is defined as theamount <strong>of</strong> seed infection or infestation that can causea disease in the field under conducive conditions <strong>and</strong>lead to economic losses (Kuan 1988). We believethat this should mean a minimal amount <strong>of</strong> seed infectionor infestation. In principle <strong>and</strong> as Gabrielson(1988) indicated, one infected seed may give rise toone infected plant, but, under field conditions, this ishardly the case. The values <strong>of</strong> the inoculum thresholdfor different crop-pathogen combinations in differentcountries vary widely (Gabrielson 1988).Our experience with rice has shown that thepotential <strong>of</strong> a seedborne pathogen to cause a diseaseis determined by the type <strong>of</strong> pathogen in relation tothe crop growth environment. Under conditions in awet-bed nursery for rice seedlings, the likelihood <strong>of</strong> afungal pathogen beginning an infection appears lessthan under tropical conditions. Perhaps this is because<strong>of</strong> the microbial competition or antagonism.On the other h<strong>and</strong>, if the level <strong>of</strong> seedborne inoculumis high (we have not had it quantified), then the probability<strong>of</strong> it causing infection is also high. As one infectedseed begins one disease focus <strong>and</strong> this focalpoint exp<strong>and</strong>s, the probability <strong>of</strong> infection increases.In reality, disease establishment is affected by inoculumdensity <strong>and</strong> the crop cultivation environment.The more infected seeds there are (inoculum level),the higher the probability <strong>of</strong> having an infection.We have monitored detection levels <strong>of</strong> seedbornefungal pathogens from imported seed lots byplanting them in the field after seed treatment forpostentry plant quarantine observation. Diseases observedwere not related to seedborne pathogens(Table 2). Pathogens from harvested seeds fromthese plants were detected, but we are not surewhether these fungal pathogen populations were thesame as those carried by the original seed or if theycame from other sources in the field.9
For other fungal pathogens, there is a close relationbetween seed infection <strong>and</strong> infected plantsgrown from these seeds. An example is blackleg <strong>of</strong>crucifer caused by Phoma lingam (Leptosphaeriamaculans) (Gabrielson1983). The classical examplefrom Heald (1921) indicated that the sporeload <strong>of</strong>seeds was highly correlated to the percentage <strong>of</strong>smut appearing in the field.Inoculum thresholds vary according to culturalenvironments. In Japan, for instance, after rice cultivationbecame mechanized <strong>and</strong> seedlings wereraised indoors in seedboxes, the occurrence <strong>of</strong> manyseedborne fungal <strong>and</strong> bacterial pathogens increased.This is because the indoor conditions—high temperature<strong>and</strong> high humidity with artificial light—are veryfavorable for seedling disease development. As aresult, the inoculum threshold is lower than that <strong>of</strong>seedlings raised outdoors under a field nursery. Theinoculum becomes more efficient under certain conditions.Inoculum efficiency is determined by variousfactors. The type <strong>of</strong> disease <strong>and</strong> crop-growing environmentsare important. Gabrielson (1988) cautionedthat thresholds must be developed for average environmentalconditions <strong>of</strong> crop growth because theyare influenced by all factors affecting the epidemiology<strong>of</strong> each host-parasite combination. It is difficultto use a single threshold <strong>of</strong> a single disease for allcropping environments. There is no clear definitionon levels <strong>of</strong> threshold for the different pathogens detectedfrom the seed. In rice, different fungal pathogensare detected from the seed (Table 1) <strong>and</strong> all <strong>of</strong>them are distributed throughout the rice-growingcountries worldwide. Disease potential, however,depends on the rice ecosystem (upl<strong>and</strong>, rainfed, irrigated,tropical, subtropical, <strong>and</strong> temperate environments,<strong>and</strong> deepwater <strong>and</strong> tidal coastal areas), culturalconditions, <strong>and</strong> types <strong>of</strong> crop management <strong>and</strong>production. Whether there is a need to treat all diseasesthe same way or differently for different ecosystems<strong>and</strong> production levels needs careful study.There is a general agreement that the threshold levelfor a disease is zero in an area if it has not been reportedthere.Risk analysisRisk analysis should serve an important basis fordeveloping plant quarantine regulations. Risk analysisbased on seed health testing needs to consider thefollowing factors:1. type <strong>of</strong> pathogens2. role <strong>of</strong> seed in the life cycle <strong>of</strong> thepathogen3. disease or epidemic potential4. genetic variability <strong>of</strong> the pathogen5. type or site <strong>of</strong> initial infection6. kind <strong>of</strong> crop production environment (<strong>Mew</strong>1997)The risk <strong>of</strong> infection from seedborne pathogensis a function <strong>of</strong> risk probability <strong>and</strong> risk magnitude.Furthermore, risk probability is determined by introductionrisk, that is, the probability that a pathogenenters a region or a field through the seed, the epidemiologicalrisk, the probability that the pathogen establishesinfection through seedborne inoculum. Riskmagnitude is the potential consequence <strong>of</strong> an epidemiccaused by the pathogen. Consequences areconsidered from the viewpoint <strong>of</strong> yield loss. Seedhealth testing results provide actual data on a pathogenthat could potentially be introduced into a regionor a field. The risk magnitude can be computed froma yield loss database or from modeling. In rice, thiskind <strong>of</strong> database is available at <strong>IRRI</strong>. The yield lossdatabase provides an estimate <strong>of</strong> losses <strong>and</strong> “hazards”caused by a pathogen once the infection is establishedthrough seedborne inoculum.However, data are lacking on the transmissionefficiency <strong>of</strong> seedborne inoculum <strong>of</strong> many riceseedborne pathogens. A concerted effort is needed tocompile this information through international collaboration.Research on seed pathology provides thebasis for setting seed health testing policy, while informationon pest or pathogen risk provides a startingpoint for seed health testing on target organisms forplant quarantine regulations. Very limited or no financialsupport is available for this important area <strong>of</strong>activities.A yield loss database can estimate the “hazards”<strong>of</strong> a pathogen once an infection is establishedthrough the introduction <strong>of</strong> a seedborne inoculum.However, data on inoculum levels <strong>and</strong> thresholds arealso needed to develop realistic assessment or measurementprocedures for some important seedbornepathogens. Data on seed transmission <strong>of</strong> manypathogens <strong>and</strong> transmission efficiency <strong>of</strong> seedborneinoculum are currently not available.Although conventional seed health testing providesadequate information on detection frequency<strong>and</strong> infection levels <strong>of</strong> some pathogens, we need toassess whether these pathogens cause any real injuryto effect yield loss. In scientific literature, this informationis not readily available.10