Trigo Argentino

SUBREGION III

BACKGROUND FOR THE CROP

The 2010 campaign was characterized by favorable weather conditions for the wheat crops. There were higher rains than the average during the first months of the year, which allowed having the proper amount of water in the soil for the growing and development of the crops.

The technologic level used was good. There were more diseases than in the previous campaign. The most important disease was the leaf rust, while the leaf spots were observed generally during the first stages of the cultivation.

The performance was very good, even in later sown crops. The cold temperatures occurred during October, added to the good radiation conditions facilitated the formation and a normal grain filling. As a consequence, the commercial quality was very good.

The climate conditions during the harvest were very good, so the harvest was done with no problems.

The performance of the region was excellent, with an average of 3900 kg/ha, which is a record for the province.

Due to the high performance obtained, the protein and gluten content was low, which affected the industrial quality.

MAP OF THE SUBREGION

RESULTS OF THE ANALYSES

WHEAT ANALYSIS		PARAMETERS	MINIMUM	MAXIMUM	AVERAGE	STANDARD DEVIATION	VARIATION COEFFICIENT
		Test Weight (kg/hl)	80,20	86,50	85,53	1,21	1,47
		Total Damaged Kernels (%)	0,03	2,91	0,42	0,64	152,62
		Foreign Material (%)	0,03	0,67	0,24	0,14	61,00
		Shrunken and Broken Kernels (%)	0,22	0,95	0,52	0,21	39,16
		Yellow Berry Kernels (%)	1,24	21,19	10,61	5,58	52,59
		Protein (13,5% Moisture) (%)	9,5	10,1	9,7	0,2	1,55
		Protein (S.S.S) (%)	11,0	11,7	11,2	0,2	1,55
		Weight of 1000 Kernels (g,)	37,20	39,60	38,40	0,68	1,77
		Ash (% dry basis)(%)	1,390	1,840	1,625	0,113	6,97
	Total damaged kernels include 0.02% calcinated kernels, 0.03% green kernels, 0.26% sprouted kernels, 0.05% insect chewed kernels and 0.06% germ-chewed kernels.

GRADE DISTRIBUTION

FLOUR ANALYSIS	PARAMETERS		MINIMUM	MAXIMUM	AVERAGE	STANDARD DEVIATION	VARIATION COEFFICIENT
	MILLING	Wet Gluten (%)	17,0	22,0	19,7	1,1	5,75
		Dry Gluten (%)	5,8	8,1	6,9	0,4	5,17
		Falling Number (seg.)	322	448	395	25	6,29
		Flour Yield(%)	48,6	64,9	62,5	2,5	4,04
		Ash (dry basis) (%)	0,475	0,565	0,513	0,026	4,98
	FARINOGRAM	Water Absorption(14 % H°) (%)	55,2	61,1	57,3	1,4	2,48
		Development Time (min,)	5,4	19,6	12,9	3,0	23,48
		Stability (min,)	16,8	34,6	23,1	4,1	17,61
		Degree of Softening (12 min.)	13	39	26	7	26,41
		P (mm)	96	164	116	14	12,39
	ALVEOGRAM
		L (mm)	28	65	48	10	19,90
		W Joules x 10^-4	165	259	224	26	11,46
		P / L	1,51	4,69	2,40	0,87	34,05
	These results were elaborated with 27 composite samples prepared proportionally from 588 primary samples (farmer deliveries).

SUBREGION DATA

In this sub region the wheat production was 1,093,970 tons, the 7.5% of the national total. Were sampled 84,364 tons, the 7,7% of the sub region production.

APPENDIX OF LOCALITY COMPOSITE SAMPLES
SAMPLE IDENTIFICATION		WHEAT ANALYSIS
SAMPLE NUMBER	LOCALITY, DISTRICT OR DEPARTMENT	TONNAJE	GRADE	TEST WEIGT (Kg/hl)	TOTAL DAMAGED KERNELS(%)	FOREIGN MATERIAL (%)	SHRUNKEN AND BROKEN KERNELS (%)	YELLOW BERRY KERNELS(%)	PROTEIN (MOISTURE 13,5 % H°)	PROTEIN (s/S.S.S.)	WEIGT OF 1000 KERNELS	ASH(dry basis)(%)
300	Paraná	3760	2	83,30	0,20	0,20	0,61	8,45	9,7	11,2	38,50	1,510
301	Paraná	3865	1	83,10	0,17	0,07	0,45	14,80	9,6	11,1	39,60	1,710
302	Paraná	3970	2	83,00	0,14	0,25	0,67	10,85	9,5	11,0	39,10	1,700
303	Paraná	1885	2	82,90	0,11	0,11	0,74	11,18	9,7	11,2	39,20	1,720
304	Diamante	4005	2	81,70	0,12	0,45	0,62	7,27	9,7	11,2	29,40	1,840
305	Diamante	4255	2	81,20	0,32	0,12	0,72	7,68	10,0	11,6	38,00	1,730
306	Diamante	4055	3	81,10	2,91	0,34	0,73	11,49	9,5	11,0	37,80	1,780
307	Diamante	2040	2	82,00	1,27	0,20	0,53	4,11	9,9	11,4	38,40	1,750
308	La Paz	4025	2	81,90	0,92	0,08	0,68	10,40	9,7	11,2	38,40	1,510
309	La Paz	2040	2	81,80	0,03	0,24	0,45	15,73	9,6	11,1	38,00	1,580
310	Gualeguay	2850	2	77,00	0,30	0,08	0,88	0,00	12,5	11,2	27,95	1,676
311	Gualeguay	2290	2	82,50	0,76	0,40	0,26	6,31	9,8	11,3	38,50	1,510
312	Gualeguay	4070	2	82,50	0,17	0,20	0,34	17,15	9,7	11,2	38,60	1,460
313	Nogoyá	2105	2	82,30	0,10	0,45	0,34	1,72	10,0	11,6	37,80	1,510
314	Nogoyá	2135	2	82,00	0,12	0,67	0,84	1,64	10,1	11,7	37,60	1,630
315	Nogoyá	4180	1	83,00	1,00	0,20	0,45	10,85	9,6	11,1	37,80	1,560
316	Gualeguaychú	3855	2	83,00	0,16	0,13	0,68	13,05	9,6	11,1	37,40	1,700
317	Gualeguaychú	2066	2	83,80	0,41	0,10	0,95	7,78	9,8	11,3	38,20	1,760
318	Gualeguaychú	2020	2	82,00	0,05	0,16	0,75	1,24	9,8	11,3	37,60	1,600
319	C.del Uruguay	4070	2	82,50	0,17	0,20	0,34	17,15	9,7	11,2	38,60	1,460
320	C.del Uruguay	2135	2	80,20	0,10	0,14	0,80	17,31	9,8	11,3	37,80	1,390
321	R. del Tala	2000	2	80,20	0,10	0,14	0,80	17,31	9,8	11,3	37,80	1,390
322	R. del Tala	2030	2	80,30	0,12	0,32	0,85	2,02	9,8	11,3	38,60	1,500
323	R. del Tala	1225	2	83,20	0,10	0,66	0,45	7,28	9,5	11,0	37,20	1,590
324	Victoria	4040	2	82,10	0,11	0,22	0,22	20,24	9,6	11,1	39,00	1,720
325	Victoria	4070	2	82,50	0,25	0,03	0,28	21,19	9,5	11,0	39,00	1,500
326	Victoria	2030	1	82,90	0,16	0,16	0,33	13,75	9,6	11,1	39,60	1,650
327	Villaguay	2133	2	83,60	0,30	0,16	0,26	19,57	9,9	11,4	37,80	1,500

APPENDIX OF LOCALITY COMPOSITE SAMPLES
SAMPLE IDENTIFICATION		WHEAT ANALYSIS
SAMPLE NUMBER	LOCALITY, DISTRICT OR DEPARTMENT	WET GLUTEN (%)	DRY GLUTEN(%)	FALLING NUMBER (SEG.)	FLOUR YIELD(%)	FARINOGRAM				ALVEOGRAM				ASH(dry basis)(%)
SAMPLE NUMBER	LOCALITY, DISTRICT OR DEPARTMENT	WET GLUTEN (%)	DRY GLUTEN(%)	FALLING NUMBER (SEG.)	FLOUR YIELD(%)	% AA (14 % H°)	T, D, (MIN,)	STABILITY (MIN,)	DEGREE SOFTENING(12 MIN,)	P	L	W	P/L	ASH(dry basis)(%)
300	Paraná	19,7	6,8	403	64,0	56,1	12,1	23,8	24	100	61	242	1,64	0,485
301	Paraná	19,6	6,9	386	63,0	57,9	8,1	22,0	20	117	56	251	2,09	0,485
302	Paraná	19,5	6,8	399	60,6	57,8	5,4	22,9	22	118	53	252	2,23	0,565
303	Paraná	20,5	7,1	448	63,8	57,2	9,9	19,7	29	98	65	239	1,51	0,535
304	Diamante	18,9	6,8	409	64,3	55,8	14,2	26,0	22	96	56	212	1,71	0,525
305	Diamante	20,9	7,2	406	64,1	57,3	10,8	25,1	17	105	61	247	1,72	0,525
306	Diamante	21,5	7,2	412	63,8	58,1	14,3	23,1	28	122	40	205	3,05	0,505
307	Diamante	18,1	6,4	391	64,9	55,9	13,4	22,6	30	106	58	238	1,83	0,505
308	La Paz	22,0	7,3	403	63,8	59,4	11,2	16,8	38	131	34	194	3,85	0,535
309	La Paz	20,2	7,0	425	62,5	57,4	12,4	21,8	30	111	54	231	2,06	0,565
310	Gualeguay	20,3	7,0	410	62,9	58,9	12,8	18,6	34	118	50	237	2,36	0,515
311	Gualeguay	19,0	6,8	322	61,7	55,2	12,5	22,3	31	100	41	178	2,44	0,515
312	Gualeguay	20,6	7,3	351	63,1	55,5	18,1	29,4	21	108	38	179	2,84	0,485
313	Nogoyá	19,6	7,1	394	63,2	57,1	12,7	22,3	27	111	47	208	2,36	0,515
314	Nogoyá	17,8	6,4	433	63,7	56,9	13,0	22,4	25	117	52	244	2,25	0,515
315	Nogoyá	19,7	6,8	422	63,1	55,3	18,3	29,5	19	130	28	165	4,64	0,500
316	Gualeguaychú	19,5	6,6	391	64,0	56,8	12,5	19,0	39	115	51	236	2,25	0,475
317	Gualeguaychú	18,6	6,8	401	64,0	55,4	15,7	27,3	20	105	61	247	1,72	0,485
318	Gualeguaychú	17,5	6,2	396	59,6	55,6	16,3	30,3	13	108	51	220	2,12	0,485
319	C.del Uruguay	19,7	7,1	413	62,2	57,1	14,1	20,9	34	11	59	259	1,88	0,505
320	C.del Uruguay	21,1	7,2	397	62,0	57,3	12,8	21,5	33	119	43	216	2,77	0,505
321	R. del Tala	20,4	7,1	349	63,6	56,4	19,6	34,6	17	122	41	216	2,98	0,495
322	R. del Tala	19,5	6,8	364	48,6	61,1	13,0	29,0	17	119	47	223	2,53	0,495
323	R. del Tala	21,5	8,1	397	62,3	59,2	13,4	23,3	22	123	49	242	2,51	0,485
324	Victoria	19,0	6,6	367	60,1	57,2	12,9	21,1	29	112	48	216	2,33	0,555
325	Victoria	19,1	6,6	398	61,7	59,6	10,3	18,1	24	164	35	246	4,69	0,545
326	Victoria	18,3	6,5	382	62,7	59,0	13,2	20,4	36	134	44	242	3,05	0,485
327	Villaguay	17,0	5,8	356	62,4	57,8	12,9	19,1	34	120	46	225	2,61	0,515