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Nelum
قوانين لبنان

Resolution No. 496/1 regulating the taking, examination and transportation of samples of imported goods

صدر في 2010-09-21 · النص بتاريخ 2026-10-01

القانون العام والإرشادات الرسمية منشورة بوصفها أبحاثاً. ليست مشورة قانونية أو ضريبية أو مالية.

البحث نفسه مكتوب بالإنجليزية. العناوين والوسوم مترجمة؛ أما النتائج والاقتباسات فغير مترجمة.

عن هذا القانون

العنوان الأصلي
قرار رقم ٤٩٦/١ تاريخ ٢١/٩/٢٠١٠ تنظيم طريقة أخذ و نقل و فحص العينة للمستوردات
اللغة
Arabic
النوع
لائحة
المنظمة
European Union
الدولة
لبنان
الموضوعات
Livestock, Food and nutrition, Cultivated plants
الكلمات المفتاحية
animal health, animal feed/feedstuffs, inspection, international trade, food safety and quality, condiments/herbs/spices, meat, milk/dairy products, cereals/grains/rice, coffee/cocoa/tea, fertilizers/nutrients, pesticides, seeds/planting material, plant production, crops, agricultural commodities, plant protection
الفئات
*, agriculture, softs

أين تقرؤه

    لا يوجد رابط مصدر مسجل لهذا القانون.

النص

نص القانون نفسه، مادةً مادة، كما هو محفوظ. لكل مادة رابطها.

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(charcuterie) M = 102 M = 3 X 102 M = 3xl01 M = 3xl03 M = 106 (~I~ ,i .U.lS) n = 5 n = 5 n = 5 n = 5 n = 5 n = 5 Jly ,;;~ Jl;l.l C = 0 C = 2 C = 2 C = 2 C = 2 C = 2 r-"'1t1=-i•~ 11 m = 0 m = 3xl01 m = 102 m = 101 m = 103 m = 3x105 ,i ~ts) ~ ,,.h.. ;i• M = 102 M = 3xl02 M = 3xl01 M = 3xl03 M = 106 (~\ ;!, , ... ~ J, 1 I D = 5 n = 5 n = 5 n = 5 n = 5 D = 5 n - 51 r~I - ~I ~ C = 0 C = 0 C = 0 C = 0 C = 0 C = 0 C = 0 ~' 1 I I m = 10 m = 0 m = 0 m = 0 m = 0 m = 0 m = 10 '1 0 '-N I I I n = 5 n = 5 n = 5 n = 5 n = 5 n - 51 .l.u.,JJI ,I ., L-. i 11 I C = 0 C = 2 C = 2 C = 2 C = 2 C = 2 ~' m = 0 m = 3xl01 m = 102 m = 101 m = 103 m = 3xl05 ~ I I I I M = 1021 M = 3xl02 1 M = 3xl01 I M = 3x103I M = 106 > 1 ;i• ,o ~ .f I I 1 'I 0 I I ~ .- I I I :;-- I I -. ': I I > > . > 0 I I I I I n=5 C = 0 m = 0 n=5 c=O m = 0 n=5 c=O m = 0 n = 51 C - 21 m = 102 M = 3x102 I n = 51 C = 21 m = 3xl01 I M = 102 1 ¼-,jUJI ..J..\Sll t►-1 ,.lll ;;~I , n = 51 n = 51 - I n = 51 J~ "~ u;,-1~ ~ C = 2 C = 2 C = 21 \,p& m = 103 m=5x103 m = 3xl06 M = 3xl03 M = 1,5x104 M=3x106 n = 51 n = 5 n = 5 fo,,.J..) :.,.~ t►-1~ ~ C - 21 C = 2 I C - 21 ~ W:.s., ..,.. ,lls ... 1., m = 5xl02 m = 103 m = 5xl05 '~ ;;~ , .ij ,il.. M = l.5xl03 I M = 3xl03 I I M = l.5x106 I oU:.a...J#.) ;;Uw. ~' .,i &.Sll,i ;J...11 i:.i~ ~b <>" ¼,JI i;. jj ( 1 < .. > 0 I n = 5 i►.lyr-"'1 C = OI C = 21 C = 21 C = 21 I C = 21 ji.. JJ =~ ,,.h.. m = OI m = 101 I m = 1021 m = 101 I I m - 3xlo'I ..,i~ ,i.u.ts M = 3x101 I M = 1031 M = 3x101I I M = 106 .u ,il..~W.i ) ~ ,,.h.. ~ .P. ~ ,,.h.. ii n = 5 n = 5 n = 5 n = 5 n = 5 ~ ,.JI.., ~jill C = 0 c=O C = 0 C = 0 C = 0 o-,l,l..;ill.., ~ y,JI .J m=O m=O m = 0 m = 0 m = 10 ~u,-J..J.., ~ .J1 I I I n = 5 n = 5 - n = 5 .U.\Sll.:.~ C = 2 C = 2 C = 2 DJ~~~ : 11 I I m = 2 m = 1 m = 10 5 (u-,ll,.;ill i.l.Jl) M = 101 M = 101 M = 3xl05 ...... I I I n = 5 n = 5 n = 5 - n = 5 .U.\Sll .:.~ 1, I c=O C = 2 C = 2 C = 2 ~ ('-""1>..;ill ~) -er m=O m = 2 m = 1 m = 1<>3 ~.~ ,,J...Jli -. . . .., ~ M = 0 M = 2x101 M = 101 M = Hf . > ~ l' ,., ~ J.1 I I n = 5 n = 5 n = 5 n = 5 - n = 5 t ,,J,:......ll u,,.l-1...;ill 1 C = 0 C = 2 C = 2 C = 2 C = 2 ,i J~I •J~I m = 0 m = 101 m = 1<>2 m = 101 m = 105 ~\ 'I 0 M = 0 M = 3Xl01 M = 3X102 M = 3Xl01 M = 3x105 ~ I n = 5 n = 5 n = 5 n = 5 - n = 5 t.,.j...~1~1 J. I C = 0 C = 2 C = 2 C = 2 c=2 ,.Ll...~1 t.J.>"l..).!i:..J -a-- m = 0 m = 2 m = 102 m = 101 m = 104 ,~I.A....Jl~lfa . , M = 2x101 M = 103 M = 1<>2 M = 105 ~,~., ~., e;,il..-1 >- I I I I .u.w,.~1~1 ~.,i~ n = 5 n = 5 n = 5 n = 5 - n = 5 ) oUaWI &.JI ~lfa C = 0 C = 2 C = 2 C = 2 C = 2 i &Slli.Uu...J · ., • .):& m = 0 m = 101 m = 102 m = 101 m = 105 ~,~.,~"' M = 102 M = 103 M = 102 M = 106 i.l~I -¼,.jUJ\ n = 5 n = 5 n = 5 - n = 51 (Moule) ;.:,,.,,11 cl,i C = 0 C = 2 C = 2 C = 2 C = 2 ~t...t ,,J,,.JI .. I r' m = 0 m = 3xl01 m = 102 m = 101 m = 106 > M = 102 M = 103 M = 102 M = 107 0 • > > 0 ~ ;i• ,o ] I 1 'I 0 '#-I . i,---' -. > n = 5 C = 0 m = 0 n = 5 C = 0 m = 0 n = 5 C = 0 m = 103 n = 5 C = 2 m = 102 M = 3x102 n = 5 c=2 m = 102 M = 103 n = 5 C = 2 m = 5x105 M = Sxl06 ~.;foJlj.i 4jll. t~law. tl.i •~.J ~' LJA ~\~ ~fa. \14\ ~ jj ~\ , ~ ~\ ,1\ c.:.i~\ ~ :n M.., m ~ ~ (S"Ji~\ (S~\ r: ..,\.fa- u\ c~\ c.:.i~\ ~ ~""'i\ ~ :C ~1 ~ ~ c..,.... JI (S"Ji ,.JI <.5 ,:i.=-..ll :m ~ ~\ ,l\ c.:.i~\ WA~ 'I\<) (S"Ji ,.J\ <.5 ,:i.::-J\ ~ .l..1....)J) ~\ J.-:! \1\ ~ ~jl\ u--5~\ .l:lo.ll :M :4.o~ ~~ ~\s • .l;ll\ J='9 ,\A-l..P--J J6. ~ ,A.laibl\ o.lW\ J,ai.. .W\ ~ === = 1i -1 ,o J I 1 .... 0 ..... . I---er' -. > ~ > > 0 \ riJ JJ~ ~j)I ~j.Wl ul.;fi..11 ~l y\:)lll ~~I •~°ii ~jl ~I w~ ,1ill 4:i~I .l::i.,'11 ~ ,.JUI r' .Ji:/•~ J a UJfl .tljii.JI rl..fa/•~J ~ ~1.,.JI ~ µrv • .;I.>=- r9r. i.;lp r' .;t. /•Ja.., r'Jt/i~., n=S l.1.t.\Sll t►.,I .Jlll r ~ c=O -~ m=O n=S n=S n=S n=S n=S ~ t►.,l y r:..l c=2 c=2 c=2 c=2 c=O . ~lS..J . m=10"3 m:1QA2 m=S x10"3 m=l0A6 m=0 .,,,.... .J M=3 X 10"3 M=3x 10A2 M=S x 10"3 M=3 X 1QA6 n=S n=S n=S n=S n=S ~ .lll w~ J . c=2 c=2 c=2 c=2 c=0 r&Sl4i~o~I m=S x10"2 m=3 xlQAl m=10"3 m=Sx 10" 5 m=0 M=l.5 x 10"3 M= 1QA2 M=3 x 10"3 M=l.5 x 10"6 J#,.,1~1.,I (~) otbi... n=S n=S n=S n=S n=S · I .J-lll ub.:u.. ~ . c=2 c=2 c=2 c=2 c=0 , . m=10"2 m=l0Al m=lQ/\1 m=3 x10"5 m=0 ~~Jp~t-11 M= 10"3 M=3 x lQAl M=3 x 10"1 M= 10"6 lJj . l ~ fi'- ., ~ 41 ,II u~1 · w--~ (j' ~ l$"'; ;:;JI LS~\ C-''~ ul c.,.......JI w~I .:i~ ~"'ii ~I =c &1' ~ 4-: c.,.......JI i.r;.,;::,Jt t.5 ,::i:....JI =m .~ ~1 ,11 u4-,ll LJ"' ¼c- tjl i} ~yi✓.JI t5jh.JI .i.Jc:. ~..>.! ,1 -½11 ~ ':/1 ~ 'ill! ~~1 ~I =M oVVY )J ~yJI ~I Ji:i 'i 0! ~ 4.iiyJI ~1..,UI ~.J ,u)le)tl ,y~I ,~I ~ r we- ~' .. J.J \rl ,(}.Ill Batch number W.lll ~ .J ~ ~ ~~ r Batch number W~I ~.J ~ ~ ~ oVVY' Minimum sampling Intensity for seed lots in containers of 15 up to 100 kg capacity (inclusively) containers i.r:dhe."seed'lot 1-4 containers: 5-8 containers: 9-15 containers: 16-30 containers: 31-59 containers: 60 or more containers: 3 primary samples from each container 2 primary samples from each container 1 primary sample ,from each container 15 primary samples in total from the seed lot 20 primary samples in total from the seed lot 30 primary samples in total from the seed lot Number of primary samples to be taken from seed lots in containers of more than 100 kg or from seed stream. 501-3.000kg One primary sample for each 300 kg, but not less than five 3.001-20.000 kg I 20.001 kg and above One primary sample for each 500 kg, but not less than 10. One primary sample for each 700 kg, but not less than 40. I L, ·•··-••-•· ------------------~--------------------' Examples for dimensions of Nobbe triers .J+.-ll ~I tr- ~I iNiJ,t~a:t~)\o~oitjlJJQ 10 ·:t~~j1 .,,: r J;;,:}~~\~Y~ff~!5~ 0Y.. 5 2 50 26 14 8 40 20 10 6 120 60 40 25 ovvt Example for sampling of seed lots in containers from 15 kg to 100 kg. Examples for systemic sampling are marked in grey 31-59 1 primary sample: from at least 20randomly selected container 480-509 · ,. ·l:pr'iinary saniRli '.•bi.ifof,every·'sjXt¢erithJontainer .. ovvo Examples for calculating the number of primary samples to be draw for seed lots with container> 100kg :C9nt~iri¢j:: •. ',\ {t>!P]i'otf:\;;:,·/1~ ~§t;;)::fif tP-Jila.w'ii!~~g;;;,-'tfi?{ii> -'{lit~it ~~~~r1~lt;tt~; •i{fptal~ · · · ·<k ) -· · ·. , · hj· Y"- ~if:•,-.--~ 'r.t'"(Rgf''~ i1 W" 1,t'"'"tfn'r•:•F-'• .ti ·t:t-tttir} -;s 1 ~f..:C: J: -· ',:,::; :'. . . r1.1,rn:ie r,i.•·:,, ., z;~ . ,\"": :. , ... , .J;Q. ;:i.t ll 1':',,,,r:,·r 101 10 1.010 Two primary samples from e ach container 20 ··- --· 101 70 7.070 one primary sample· from each of 15 randomly 15 selected container 101 230 23.230 one primary sample· from each of 40 randomly 40 selected container ~-- 200 3 600 Two primary samples from each container 6 ··----- .. 300 4 ,, 1.200 Two primary samples from each conlainl:!r 8 300 35 10.500 one primary sample from each of 21 randomly 21 selected containers • ' 300 70 21.000 one primary sample from each of 40 randomly 40 selected containers •••••--H• : 600 17 10.200 Two primary samples from each of four containers and 21 one primary sample from each of the remaining 13 containers (8+13) 600 40 74.000 one primary sample. from each container 40 : 700 3 2.100 Three primary samples from each containers 9 ! 700 30 21.000 Two primary samples from each of ten containers and 40 one primary sample from each of the remaining 20 containers (20+20) .----------,---•· 700 35 24.500 Two primary samples from each of five containers and 40 one primary sample from each of the remaining 30 containers (10+30) 800 4 3.200 Three primary samples from each containers 12 800 31 24.800 Three primary samples from each of nine containers 40 and one primary sample from each of the remaining containers (18+22) -------·--- ------------- ·---· 900 3 2.700 Three primary samples from each containers 9 · 900 11 9.900 Two primary samples from each containers 22 1.000 10 10.000 Two primary samples from each containers 20 I -- ·-· 1.000 25 25.000 Two primary samples from each of 15 containers and 40 one primary sample from each of the remaining 10 containers (30+10) 1.510 14 21.400 Three primary samples from each containers 42 Tau le ;.Sho..vi,+1 .. the minimum number of primary samples for seed lots samples from the seed stream. '-+l\- J.Jli w i:,.. ;;:i ,..w,., l.;3.,'i1 .:.u,,.JI i:,.. ,.J,J'il J.-.ll tol.799 5 1.800 to 2.099 6 2.100 to 2.399 7 2.400 to 2.699 8 2.700 to 3.000 9 3.001 to 5.000 10 5.001 to 5.500 11 5.501 to 6.000 12 6.001 to 6.500 13 6.501 to 7.000 14 7 .001 to 7.500 15 7.501 to 8.000 16 8.001 to 8.500 17 8.501 to 9.000 18 9.001 to 9.500 19 9.501 to 10.000 20 10.001 to 10.500 21 10.501 to 11.000 22 11.001 to 11.500 11.501 to 12.000 12.001 to 12.500 12.501 to 13.000 13.001 to 13.500 13.501 to 14.000 14.001 to 14.500 14.501 to 15.000 15.001 to 15.500 15.501 to 16.000 16.001 to 16.500 16.501 to 17 .000 17.001 to 17.500 17.501 to 18.000 18.001 to 18.500 18.501 to 19.000 19.001 to 19.500 19.501 to 20.000 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Ex.:imples for timer adjustment of automatic seed samplers for sampling seed lots of maximum sizes at different processing rates. 0.5 60 60 75 80 l 30 30 35 40 2.5 12 12 15 15 5 6 6 7.5 8 10 3 3 3.5 4 15 2 2 2.5 2.5 20 1.5 1.5 1.5 2 25 1 1 1.5 1.5 30 1 1 1 1 ovvv Examples for timer adjustment of automatic seed samplers for sampling small seed lots at different processing rates. 15 24 36 1 2.5 2 3 4.5 7 5 1 1.5 2 3.5 1-1:.Q ~---~--o . 5 ~-----~------~------0.5 1 1.5 l Jeconds between strokes ·------~--------,----------.--------4 15 20 30 45 70 20 10 25 35 55 Sampling intensities for systematic sampling of seed lots in small containers of 1 kg (i.e. 100 rontainers per sampling unit 101-200 101-200 2 6 primary samples ! 201-300 201-300 3 9 primary samples 301-400 301-400 4 12 primary samples ~·---·~- ------- · 401-500 '101-500 5 10 primary samples 501-600 501-600 6 12 primary samples 601-700 601-700 7 14 primary samples /01-800 701-800 8 16 primary samples 801-1.500 801-1.500 9-15 9-15 primary samples 1.501-3.000 1.501-3 .000 16-30 15 primary samples 3.001-5.900 3.001-5.900 31-59 20 primary samples >5.900 >5.900 60 and more 30 primary samples oVV/\ S;impling Intensities for systematic s;impling of seed lots in small containers of 3 kg i 100-198 34-66 : 199-297 67-99 i298-396 100-132 l---· ! 397-495 133-165 I i 4%-594 166-198 , 595-693 199-231 696-792 232-264 793-1.485 265-495 1.486-2.970 496-990 2.971-5.841 991-1.947 ~-------- -- >5.841 >l.947 2 3 4 5 6 7 8 9-15 16-30 31-59 1 60 and more 3 primary samples 6 primary samples 9 primary samples 12 primary samples 10 primary samples 12 primary samples 14 primary samples 16 primary samples 9-15 primary samples 15 primary samples-~-. 20 primary samples 30 primary samples Sampling intensities for systematic sampling of seed lots In small containers of 5 kg 101-200 21-40 2 6 primary samples 201-300 41-60 3 9 primary samples 301-400 61-80 4 12 primary samples i 401-500 81-100 5 10 primary samples \ 501-600 101-120 6 12 primary samples ! 601-700 121-140 7 14 primary samples \ 701-800 141-160 8 16 primary samples ! 801-1.500 161-300 9-15 9-15 primary samples 11.501-3.000 301-600 16-30 15 pi:i rn~ry samples I 3,001•5,900 601-1.180 31-59 20 primary samples 1>-s.9oo >1.180 60 and more 30 primary samples i 1 I i Sampling intensities for systematic sampling of seed lots in small containers of 12 kg • < > 0 ~ ;J' , .. j I 1 ') 0 ~ . 1--er--. > ~IJ+l'l ,JJL.11 i:.i..,.SI ..i-11 (~ f'Jd} rJ. JlOOO 10-7 45 u-111 ~'I. .;Ji.JI i:.i.,SI ,-..JI (~r.11) rl J1000 3-5 90 2 ,iJ '"~ ~A:J~t» ,U1sJ1,~e~ l • • • . .- 'I . I • II - -:11 ... ,r.J,l,.r.- v;o- .)fAA .uw, .. o-,ill JJSJ3-LH JI~ ~le.Ji ¼JleJJ J.J1OO0 ISO 4833: 2003 Microorl!aili.smes aerobics ,(30°C) ISO 4832: 2006 Coliformes totaux (37~C) ISO 16649-2: 2001 E. Coli (44°C} 80 ISO 6888-1: 1999 Staphylococcus Aureus (37.,C) ll ,.JI tl ,;I ts\$ ISO 6579: 2002 Salmonelles (37°C) ~,~, ISO 15213 : 2003 Bactcries sulfito-reductrices anaerobiques (37°C) ISO 21527-1/2: 2008 Champiimons et moisissures (30°C) l .. Lllj ..... t\ ... UW-('..r-~ uw, t.lJS.ii.J.H JI~ ~ltJJ ~•eJl J.rJlOOO u,,u.lll : Total Aflatoxines Graincs Aflatoxines Ml Lait 15 EWELISA Total Aflatoxines Pooduits prepares Total Aflatoxines / B 1 · i Pistacheries 1 ~· .. , ) 1 0 ~ . 1,-----. > ~ < > 0 u-,U1 J+i'i .;Ji.JI i:ai .!1 .,,....SI (~ r.JJ) J. J1000 .. 3-S 60 o-lJI ~"i .;Ji.JI ~ ,n ..,.....i, (J.$ r.JJ) cl JlOOO 30 5 30 5 75 o;;,r:, • .,~,.JIAA uw, ~ JJSJiJ.>J JI Ui...fo ~ltJl ~t.ti clJ1000 AOAC 989.0S: 2003 ED 17 Matieres msses AOAC 927.05: 2003 Humidite Lait et produits laitiers 50 AOAC 947.05: 2003 Acidit6 AOAC 990: 2003 Matieres seches ~.tSJj(A.a uw, ~I J.JS.fl.J.JI JI~ ~'tJl ~t.ti clu1000 so AFNOR Arsenic & ..... .'ii 50 AFNOR Mercure c!l.....')11 75 AOAC Colorants .:L~J~J.&...'il > < > 0 ~ ,l ,o ] I 1 .., 0 VJ s.-.. ..-.. . > ~I ).f.'i jll.all cl ,11 (~ f'.JJ) S-3 s 5-3 5-3 S-3 ...-.,...JI -Uls.ll JI~ J. J1000 J.Jl000 JJSjlJJI ~\ 30 50 AOAC 60 40 AOAC 60 so AOAC 60 so AOAC 30 30 AOAC ~,e..,. Densite Brix PH Indice de Refraction Humidite 232/270 Ak Acidite Valeur d'iode Peroxide Profil d'acide gras Matiere ara11se Humidite Cendre Conductivite oH Acidite Humidite Cendre Peroxide NaCl Conductivite Acidite Brix RI oH Conductivitc .. l .11 ••• <t1 l,tl-":t\ -· --,..-,.:- u:-o-~ ¼-lie.,; Graisses, huiles et produits derivees. Aliments dietetiques. Aliments pour · nourrissons Cereales, legumes secs, boitcs de conserves, produits deriv6es Jus de fruits et produits derives ~ ;J ,o j I 1 ...... 0 ~ )-. -.r -. , > I < > 0 o-iJI Ji:,.,'J .)11,JI ..:ai..,tl (~ r,JI) 5-3 5 5-3 7 3-5 7 ..,.....i, l.i!sll JI~ J. J1000 J.Jl000 c.J.p ,;J.)I ~I 90-30 50-20 AOAC 90 90 AOAC 60 so AOAC 75 75 AOAC 30 20 AOAC 75 75 AOAC ~le JJ t;,J1e.,. Cendre Humidite Tropical fresh fruits and vegetables Foreiim residus Conductivite Cendre Matiere grasse Viande et produits a base de viande y compris les bouillons Humidite Acidegras Acidite Brix RI Sugars, Cocoa, chocolate and oH Matiere IU'llSSC miscellaneous products Polarisation DeJUe alcooliQue total Dem alcooliaue reel Extrait sec total Acidite totale Acidite volatil Boissons alcoolisees (V"ms) Sucres reducteurs Ph S02 libre Acide citrique S02 total Acidity Alcoholic degree Residues Boissons alcoolisees (Arak & biere) Alcools superieurs: methanol. Ethanol, butanol, iso-butano, amyl alcool, isc amyl alcool ~ < > 0 1 l' ... J 1 0 V,I . 1---~ -. > u-'JI J,+Ji ,.i1.ll cl..,11 ....,.JI Ulsll {~r.») J. J1000 J.Jtooo 5 90 50 u-,lll J+,."'J ..,.»-o,11 cl ,JI ..,-....ll ~I (~ f.J:) J.J1000 J.JlOOO 5 30 JI~ J.,S;..J.JI ~It.Ji ~e...,; o,uJSI Cendre Indice de refraction Brix Acidite totale AOAC HMF Acide lactone Miel Acidite libre Hurnidite oH Conductivity ~,~~ u-JII J.,S ;.J.Jt JI ~ ~'E..Ji ¥e..Ji ISO 6222 : 1999 Gennes aerobics (22°C) ISO 6222 : 1999 Gennes aerobies (37°C) ISO 9308-l: 1990 Colifonnes Totaux Eau (Microbiologie) ISO 9308-l : 1990 Coliformes fecaux ISO 9308-l : 1990 E.coli .. ISO 16266: 2006 Pseudomonas aeroginosa ~ ..::J' ... ) I 1 '1 0 ~ l,--0--. ~ > 0 < > 0 ~I J+i"l ;Jl..11 cl,Jll ..,-!I '-'WI (~ f'-") J. Jl000 J.JlO00 s 30 100 5 ~JSJ30 c,.-..cJsJ 50 :..i-,111 J.,S.JlJJil JI~ ~lt.,J ~le ,; ISO 10523: 1994 Ph ISO 7888 : 1985 Conductivite ISO 9963-1 : 1994 Bicarbonates ISO 6059 : 1984 Durete de l'eau AOAC 920.193 Solides totaux dissous ISO 6058 - 1984 Calcium ISO 6059 - 1984 Magnesium ISO 9297 : 1989 Chloride ISO 7890-3 : 1988 Nitrate NFT90-040 Sulphate Eau (Physico-chimique) ISO 6332-1988 Iron ISO 8288 : 1986 Coooer ISO 8288 : 1986 Zinc NFT90-112 Manganese ISO 12020 : 1997 Aluminium ISO 8288 : 1986 Lead ISO 8288: 1986 Cadmium ISO 8288 : 1986 Nickel ISO 11969 : 1996 Arsenic . < > Q 1 l' , .. J I 1 '1 0 V-1 . i--.... .,. .... . > . ~°'l JJl.JI d,jll . (~ "'-'-')~I 5 s s . 2 ri.;~~u 'i, µ ~ 11-P->-1' ~\ ~ Jl ,.J\ / ""JJl/ ~ Jl,.J\/ ~ ~.lull '&~'ii / ,-1..J\ ,..,JI Ul.Sll ~I cJJS.IU.H .JI~ ~1e· '. ,JJ ~l,eJ-i .J.J 1000 .J.J 1000 ISO 6222 : 1999 Germes a6robies (22°C) ISO 6222: 1999 Gennes a6robies (37°C) 30 50 ISO 9308 -2: 1990 Coliformes totaux Eau (Microbiologie) ISO 9308 -2: 1990 Coliformes fecaux ISO 9308 -2: 1990 E.coli ISO 16266 : 2006 Pseudomonas aeroginosa ISO 10523 : 1994 Ph ISO 7888: 1985 Conductivite ISO 9963-1: 1994 Bicarbonates ISO 60S9: 1984 Durete de I' eau 30 100 AOAC 920.193 Solides totaux dissous ISO 6058-1984 Calcium ISO 6059 - 1984 ~ Mamesiwn ISO 9297 : 1989 Chloride ISO 7890-3 : 1988 Nitrate NFT90-040 Sulfate Eau (physico-chimique) ISO 6332-1988 Iron ISO 8288: 1986 Conner ISO 8288: 1986 Zinc NFT90-ll2 ' Mane:anese c)k.oJS.130 ullwJSl 50 ISO 12020 : 1997 Aluminiwn ISO 8288 : 1986 , Lead ISO 8288: 1986 Cadmiwn ISO 8288 : 1986 Nickel ISO 11969 : 1996 Arsenic j~'/ ;Ji.JI ui.jll .., JI lils.JI (~~..H)~I .J.J 1000 .J.J 1000 3 36 10 3 10 2 2 2 2 2 2 2 3 10 2 2 3 5 2 2 3 5 2 2 2 5 ~I J.,S ;;J~ JI Ui~ Kjeldahl Method. AOAC955.04 Kjeldahl Method. AOAC955.04 MgOMethoc! AOAC920.0J CE n 2003/2003 Devarda Method AOAC892.01 CE n 2003/2003 Devarda Alloy Method CE n 2003/2003 Olsen Method/ Spectrophotometric Molybdo VanadoPhosphate Method AOAC958.0I Wet Digestion Method Spectrophotometric Molybdo V anildophosphate Method AOAC958.0J Flame photometric Method AOAC955.06 Wet Digestion Method Flame photometric Method AOAC949.01 AOAC955.06 Flame photometric Method AOAC974.01 Acid Digestion Flame photometric Method AOAC974.01 Silver Nitrate Titrimetri= Method AOAC928.02 Gravimetric Method AOAC 980.02 CE n 2003/2003 J:lwll t~ ,)Sll.:.. 1}il \.u.,,i ,-,f, ,..'il r >.!' ,.. '1 L, uh¥11 .:..)Aili\ (•WI <} . ,..:.1:ili) JJi... ,ill . ,lSll ..i.,i..- ,ill (.WI c; yll:ill) r»-t,i}I ~I r»-t,i}I (•WI <} yjl.lll) r ..tJJ ,...JI .;sii r ..tJJ ,...JI (.WI<} yjl:ill) ~ ulil.JI ( • Wl .,i ylljjl) ~le. JJ ' ~.I.I.A!\;~~, 41~1 0 < > < < . -J> --1 ~ 0 t I ·f 'E:: { < < > G ~ -1 ,o J 1 0 ....., 1,.---.r -. > 3 7 2 s 2 3 2 3 s ~JSJS Gravimetric Method ~..:,.,~ l Jhull t.lo uC:il CE n 2003/2003 ,W.AC 980. 02 Lllw.aSll Spectrometry with Azomethine-H J§I ~ (•WI ~ .,..:.lill)J,ill - .... CE n 2003/2003 %IO &-AOAC982.0l EDTA Titrimetric Method ~ ..,.,.iill) r.,..jli.JI Ir~ AOAC 937.02 (•WI 0-phenanthroline ~ Spectrophotometric Method (.w,,} y:,1:in} Atomic Absorption Nutrients ~I .>-u...n Spectrophotometric M~thod (Minor) AOAC965.09 Ca-Mg-Cu-Fe-Mn-Zn CE n 2003/2003 Mo 1; ;J' ... ) I ~ '1 Q 'ff ).-.. c,-.. . > .. < > Q ~'I .;,iWI ui ,JI ·(~f~)~I 3 l 3 3 3 2 2 3 l 1 2 .;a.JI Uls.ll .J.J 1000 .J.J 1000 10 2 2 10 s 36 2 4 2 2 4 ~I J.JS.J'.J.>.1 .JI ~ ;la J;Jb:ill e.~ ~le,. • .JJ Nitrogen (Total) in Peat Kjeldahl ~.:.,.JJ~I Method AOAC973.06 AFNORXJJ-111 MgOMethod (.;1... <),l:,...) r .Ji, ,,.'ii AOAC920.03 Devarda Alloy Method (. .jl... J~) ..:.1.J¥1 AOAC892.0l Acid Digestion / Vanado-Molybdate ...isu ,,i.. ,ill Spectrophotometric Method AOAC958.01 Acid Digestion / Flame photometric ..,Klr~t~ Method /L~ Jt,.J\ AOAC 949.011955.06 Moisture in Peat AOAC967.03 ~)I U4a.j:\4 ;S.l1 Ash of Peat .ll..~~..il ,.JI AOAC967.04 Organic Matter in Peat/ Combustion Method ~ ,..J • .>U AOAC967.05 pH of Peat Yi)!, -..... ,-llr5J AOAC973.04 pH Electrical Conductivity ~-J..JI {~.,,.J AFNORXJJ-113 DTP A Extraction/ Spectrophotometric Humic Acid ~ -.Jl...ll Method MVR Methodology www.humatcs.com'mc'.hodoloav.html. • .. > 0 ~ ~· ... ) I 1 'I 0 ....., ~ -er ...... P.,J""I j1i.JI i::ai ,31 ,~ f'-'=') ~' 4 1 3-1 1 1 1 2 3 2 2 4 2 2 ;Li.JI ~, .J.J 1000 .J.J 1000 3 3 6 2 2 2 4 36 10 s 4 15 4 4 o-,ill J.,s - I Ui..)a ~~., ~le~ '-llaJI E. • .. ~ Sechage/ Tamisage (2 mm) AFNOR oll...JI ~(~\ ~ XJl-101 Humidite XJ 1-102 .. . ,la)\., ljl;JI Granulometrie(Hydrometre de ½,,J rl.,i Bouyocos) O:,cydation sulfochrornique AFNOR ~-lWI XJl-109 Methode Electrometrique ~!, ;... ,...JI !"1J AFNORXJl-103 DH Conductivite Electrique (Extrait h.,WI /V.. .,.JI aqueux)AFNORXJJ-113 Eva!. Carbonates ~ ~ r~' .:..l.i ,, ,s Methode Calcimetre de Bemard1 AFNORXJl-105 Titration2 Determ.Calcaire actif ~ r~' u\iy..,S AFNORNFXJl- 106 Kjeldahl Method AFNOR XJJ-111 ..,lSll i:.. vl;I L.;ll Olsen Method/ Spectrophotometric ~1..i,i.. ,ill AFNORXJJ-116 Norme NF ISO 11263 Acetate Ammonium Method/ Flame 1:tWI r-"""ti ,,JI Photometer Acetate Ammonium /Ethanol/ KCI -........JI ,Ll.i4...JI i:..Li.1J'WI Method AFNORXJJ-108/ XJJ-130 ¥ ,fa\Sll ~l,wll Ca-Mg-K-Na-/ NH. KCI or Water Extarction .:i!;iiJI /rJia, .t.;1 MgO Method/ Devarda Alloy Method 0-phenanthroline Spectrophotometric ~lljA!I Method ~ ;J , .. ] I 1 '1 0 v-1 ~ -er--. ~ :r ~ " > 0 REFERENCES D'ANALYSES Engraisl Soll Compost • Soil and plant testing as a basis of fertilizer recommendations. Cottenie A. 1980. Soils Bulletin N° 3812, FAO, Rome Italie. • AFNOR- Qualite des sols- Methodes d'analyse 1987 • Le compost: gestion de la matiere organique. Mustin M. 1987. Editions Fran~ois Dubusc, Paris. • Soil Science Methods & Application. David L. Rowell. 1995. Longman Scientific & Technical. • AOAC International Official Method. 1997 • Methods of Analysis of Soils, Plants, Waters and Fertilisers. Edt. HLS Tandon. 1998. Fertiliser Development and Consultation Organisation, New Delhi, India, • Methods of Analysis for Soils in Arid and Semi-Arid Regions. Bashour Issam I. & Sayegh Antoine H. 2000. Soils, Irrigation & Mechanization Department-Faculty of Agricultural & Food Sciences-AUB-Lebanon • Reglement CEE o0 2003/2003 relatif aux engrais • L'Analyse du sol mineralogique, organique et minerale. Pansu Marc & Gautheyrou Jacques. 200J. Springer-Verlag France • A soil & Plant Analysis Manuel Adapted for the West Asia & North Africa Region . Ryan John, Garabet Sonia, Harsmen Karl & Rashid Abdul. 2007. ICARDA. >-.. > 0 1 1' ''° ) I 1 'I 0 ~ . )-. -.,--. > ~~°"i~cl ,n ~I (~r~) .J.J 1,000 2 7 2 17.5 I 15.5 2 22.5 2 16 3 23 5 25 3 22 ~~I~ ~ ~1~- l'-L~ ~~ ~. !J,IJ.>.I .J -~ .J.J 1,000 7 AOAC 930.15 ~½,. i.1\.... 17.5 AOAC 942.05 ~u.3\a... 21.6 As per IKA procedures (w..l..~UU: (.ti~ o.1L. c.J"t...~ Ulb 30 t 21.6 AOAC 984.13 ( WAL.. ~ ~ .1): ◄jil.11 .1!,.JI ~ 31 (.ti~ oJl. c.J"L..~ ~..u: 34 As per Fibertec rli. uy}i procedures (FOSS) 30 AOAC 920.39 B&C rli. ~.:

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