NATIONAL AVERAGES


MAP OF THE SUBREGION
MAP OF THE SUBREGION
RESULTS OF THE ANALYSES

 

COMPOSITE SAMPLES BY LOCALITY

DURUM WHEAT ANALYSIS PARAMETERS MINIMUM MAXIMUM AVERAGE STANDARD DEVIATION VARIATION COEFFICIENT
Test Weight (kg/hl)67,8084,15 78,293,864,92
Total Damaged Kernels (%)0,002,8 0,590,5694,23
Foreign Material (%)0,142,4 0,730,5473,89
Shrunken and Broken Kernels (%)0,181,92 0,670,4566,75
Vitreous Kernels (%)297 372466,24
Wheat (Triticum aestivum) (%)0,4411,76 4,252,8967,97
Protein (13,5% Moisture) (%)9,213,5 11,61,19,14
Protein (s.s.s.) (%)10,615,6 13,41,19,14
Weight of 1000 Kernels (gr.)32,9053,90 38,834,3711,24
Ash (% dry basis)1,6092,137 1,8900,1035,45
Total damaged kernels includes 0.01% green kernels, 0,16% sprouted kernels, 0,07% insect chewed kernels and 0,18% germ-chewed and 0,10 calcinated kernels.

GRADE DISTRIBUTION
 
 
SEMOLIN ANALYSIS PARAMETERS MINIMUM MAXIMUM AVERAGE STANDARD DEVIATION VARIATION COEFFICIENT
MILLINGFalling Number (sec.)431683 5146012
Color(B)17,724,1 20,91,78,02
Wet Gluten (%)2334,7 29,22,89,60
Gluten Index486 542037,37
FARINOGRAMEnergy Level22,637,2 27,33,111,44
Degree Softening (%)2338 29311,81
These results were elaborated with 42 composite samples.

APPENDIX OF LOCALITY COMPOSITE SAMPLES
SAMPLE IDENTIFICATION DURUM WHEAT ANALYSIS
SAMPLE NUMBER LOCALITY, DISTRICT OR DEPARTMENT GRADE TEST WEIGT (Kg/hl) TOTAL DAMAGED KERNELS(%) FOREIGN MATERIAL (%) SHRUNKEN AND BROKEN KERNELS (%) VITREOUS KERNELS (%) WHEAT (Triticum aestivum) (%) PROTEIN (MOISTURE 13,5 % H°) PROTEIN(S.S.S.)(%) WEIGT OF 1000 KERNELS (gr.) ASH(dry basis) %
1LoberíaF/E 178,150,900,401,14121,7412,314,243,601,917
2Gonzáles ChávesF/E 179,900,360,340,44351,3610,612,345,201,914
3TandilF/E 278,350,481,200,58523,3312,414,346,501,929
4J.N. FernándezF/E 180,800,080,620,66426,8411,513,349,101,791
5Coronel SuárezF/E 178,150,180,460,18123,189,611,150,601,917
6NapaleufúF/E 179,450,340,280,48418,6213,315,448,401,763
7Coronel DorregoF/E 178,150,120,240,54184,849,811,347,201,840
8OlavarriaF/E 181,700,000,300,10962,4811,913,850,101,717
9Coronel PringlesF/E 179,000,240,280,24472,8811,513,344,301,879
10BalcarceF/E 180,350,140,460,36215,1612,114,047,201,877
11Tres ArroyosF/E 281,501,020,280,28594,9211,313,153,901,945
12Leales (Tucumán)F/E 182,600,000,200,26975,5013,515,637,901,757
13Cruz Alta (Tucumán)184,150,940,160,76722,4811,513,338,801,609
1425 de MayoF/E 376,552,041,561,82238,1612,614,644,702,005
15BalcarceF/E 279,250,261,060,26461,1410,412,043,401,904
16BolivarF/E 379,450,582,140,36429,6011,513,347,502,004
17ChascomúsF/E 369,150,901,120,98102,3011,813,637,502,083
18Coronel PringlesF/E 182,600,600,620,34513,7611,313,151,801,964
19Coronel Suarez179,000,500,741,16612,6110,412,040,301,904
20DaireauxF/E 374,100,320,760,44374,5012,414,332,901,836
21Eduardo Castex (La Pampa)F/E 179,000,180,481,12264,029,811,341,601,857
22General Lamadrid180,800,600,441,28742,6811,313,142,101,902
23HendersonF/E 374,100,300,820,72332,9811,012,737,701,904
24Herrera VegasF/E 379,700,661,560,563911,7610,912,643,901,901
25HuanguelénF/E 278,150,000,681,60352,2810,111,744,001,806
26Huinca Renancó (Córdoba)F/E 180,800,420,240,784610,9812,814,839,901,796
27J.N. FernándezF/E 183,950,680,140,58489,2811,913,849,201,731
28LezamaF/E 367,802,802,401,3491,0012,214,136,902,137
29LoberíaF/E 181,250,120,320,30745,9211,713,549,201,971
30MaipúF/E 370,500,601,340,3270,7213,315,446,301,987
31Marcos Juárez (Córdoba)F/E 278,151,440,160,3823,2812,214,147,101,954
32OlavarríaF/E 183,500,720,600,74664,8211,813,648,201,827
33PellegriniF/E 283,051,100,321,92945,1612,114,043,401,859
34PellegriniF/E 276,100,240,600,5685,3413,415,538,902,007
35PigüéF/E 372,500,221,560,18131,949,210,644,301,815
36QuenumáF/E 179,000,480,360,46491,8012,414,338,102,017
37Ramos Otero-BalcarceF/E 279,001,420,460,64368,4012,314,246,901,875
38SaladilloF/E 372,500,461,040,62280,4412,514,538,102,005
39TandilF/E 278,350,121,140,28100,9011,212,953,101,786
40TandilF/E 178,150,580,740,24122,3211,413,246,801,839
41Trenque LauquenF/E 374,101,041,280,20101,9810,712,439,801,923
42Villa Mirasol (La Pampa)F/E 375,200,120,480,9833,0810,512,137,501,932
 
APPENDIX OF LOCALITY COMPOSITE SAMPLES
SAMPLE IDENTIFICATION SEMOLIN ANALYSIS
SAMPLE NUMBER LOCALITY, DISTRICT OR DEPARTMENT FALLING NUMBER (sec.) COLOR (B) WET GLUTEN (%) GLUTEN INDEX (%) FARINOGRAM
ENERGY LEVEL
FARINOGRAM
DEGREE OF SOFTENING (12 min.)
1Lobería5102033412936
2Gonzáles Cháves47021,127,24423,328
3Tandil48520,532,64529,234
4J.N. Fernández51319,929,94428,130
5Coronel Suárez49119,723,04322,626
6Napaleufú49719,231,67326,825
7Coronel Dorrego53820,425,17425,527
8Olavarría44519,230,64424,730
9Coronel Pringles50021,430,23329,232
10Balcarce43120,431,36037,223
11Tres Arroyos43118,826,92933,632
12Leales (Tucumán)65224,134,06430,226
13Cruz Alta (Tucumán)48224,027,38326,723
1425 de Mayo56819,431,34926,630
15Balcarce58621,427,66324,928
16Bolivar58320,228,85326,630
17Chascomús57220,029,56825,230
18Coronel Pringles50319,429,6425,535
19Coronel Suárez52723,025,68629,624
20Daireaux52722,626,27025,424
21Fduardo Castex (La Pampa)46823,425,77223,127
22General Lamadrid50023,627,97825,430
23Henderson47821,827,07725,328
24Herrera Vegas48918,627,44525,031
25Huanguelén43822,426,36829,129
26Huinca Renancó (Córdoba)49320,032,5527,538
27J. N. Fernandez49119,132,12629,034
28Lezama52721,230,55228,032
29Lobería64119,631,14029,327
30Maipú59821,730,06130,926
31Marcos Juárez (Córdoba)56220,330,76628,930
32Olavarría58318,330,5729,934
33Pellegrini68317,731,77429,028
34Pellegrini53422,634,75927,831
35Pigüe44221,723,96623,433
36Quenumá47622,729,46528,529
37Ramos Otero-Balcarce43720,331,75029,731
38Saladillo52123,233,24526,129
39Tamdil49719,828,24222,728
40Tandil48419,527,34733,227
41Trenque Lauquen45421,927,46623,528
42Villa Mirasol (La Pampa)46922,926,77123,727