Trigo Argentino

SUBREGION III

BACKGROUND FOR THE CROP

Wheat campaign of 2011 started with enough humidity in the soil profile due to the occurrence of rains, mainly during May, achieving a good implantation in early and intermediate dates. In the following months, the rains were less than the historical average and not until October, there were rains surpassing said average. With this rains distribution, the genotypes that eared later were favored.

Temperatures, in general, were similar to the historical average. In September (beginning of the critical period) there were temperatures registered of 17°C over the normal ones, and later, as from November, there were prevailing temperatures higher than the normal ones, which contributed to a shortening of the grain filling period. The photo-thermal coefficient during the critical period for the crop (definition of the number and grain filling) only during the first days of September was higher than the historical average.

During October, there were frequent rains, which favored the development of Fusarium.ear blight Regarding leaf diseases, the campaign was characterized mainly by the presence of yellow spot, leaf rust and stem rust, affecting the cultivars with higher susceptibility with high infection levels.

The weather conditions mentioned before and the presence of ear and leaf diseases produced mild yields during this campaign. With a sown surface of 296,300 ha, the average produce was 3,483 kg/ha with a production of 1,028,558 tons. The commercial quality of grains was good.

MAP OF THE SUBREGION

RESULTS OF THE ANALYSES

WHEAT ANALYSIS		PARAMETERS	MINIMUM	MAXIMUM	AVERAGE	STANDARD DEVIATION	VARIATION COEFFICIENT
		Test Weight (kg/hl)	77,90	82,10	80,09	1,16	1,45
		Total Damaged Kernels (%)	0,15	2,12	0,89	0,42	47,32
		Foreign Material (%)	0,09	0,75	0,30	0,15	50,99
		Shrunken and Broken Kernels (%)	0,09	1,03	0,56	0,22	38,87
		Yellow Berry Kernels (%)	1,31	13,84	7,31	3,09	42,32
		Protein (13,5% Moisture) (%)	10,2	11,7	10,8	0,4	3,42
		Protein (S.S.S) (%)	11,8	13,5	12,5	0,4	3,42
		Weight of 1000 Kernels (gr.)	31,96	44,28	37,77	2,28	6,03
		Ash (% dry basis)(%)	1,500	1,860	1,716	0,088	5,15
	Total damaged kernels include 0.21% green kernels, 0.03% frosty kernels, 0.14% sprouted kernels, 0.034% calcinated kernels, 0.14% insect chewed kernels and 0.03% germ-chewed kernels.

GRADE DISTRIBUTION

FLOUR ANALYSIS	PARAMETERS		MINIMUM	MAXIMUM	AVERAGE	STANDARD DEVIATION	VARIATION COEFFICIENT
	MILLING	Wet Gluten (%)	21,7	26,7	23,8	1,1	4,72
		Dry Gluten (%)	7,2	8,7	7,9	0,4	4,64
		Falling Number (seg.)	419	526	465	25	5,40
		Flour Yield (%)	69,0	75,3	72,1	1,2	1,67
		Ash (dry basis) (%)	0,525	0,732	0,637	0,055	8,60
	FARINOGRAM	Water Absorption (14% H°) (%)	56,2	61,5	58,8	1,4	2,32
		Development Time (min.)	1,8	9,8	6,9	2,2	31,10
		Stability (min.)	3,6	22,0	14,1	3,9	27,60
		Degree of Softening (12 min.)	23	68	44	12	26,15
		P (mm)	11	126	95	17	17,44
	ALVEOGRAM
		L (mm)	51	96	74	11	14,30
		W Joules x 10^-4	213	294	252	22	8,69
		P / L	0,19	2,47	1,31	0,39	29,39
	These results were elaborated with 26 composite samples prepared proportionally from 542 primary samples (farmer deliveries)

SUBREGION DATA

In this sub region the wheat production was 1,028,588 tons., the 7.9% of the national total.
Were sampled 90,000 tons., the 8.7% 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	Diamante	4000	2	79,90	0,59	0,54	0,63	6,75	10,2	11,8	37,04	1,860
301	Diamante	4000	2	79,40	0,85	0,60	0,57	7,33	11,6	12,9	37,28	1,640
302	Diamante	4000	2	80,10	0,61	0,24	0,71	10,52	11,0	12,7	37,04	1,780
303	La Paz	4000	2	79,70	0,61	0,75	0,63	2,92	10,8	12,5	35,20	1,810
304	La Paz	4000	3	78,40	2,12	0,42	0,88	8,14	11,7	13,5	36,24	1,670
305	Paraná	4000	2	81,20	0,82	0,31	0,69	3,83	10,4	12,0	37,80	1,770
306	Paraná	4000	2	82,00	1,18	0,44	0,57	9,50	10,5	12,1	36,76	1,750
307	Paraná	4000	2	80,50	1,22	0,28	0,56	9,73	11,0	12,7	39,42	1,800
308	Paraná	4000	2	78,70	1,14	0,28	0,74	9,87	10,7	12,4	37,60	1,800
309	Victoria	4000	1	80,10	1,00	0,19	0,25	5,05	10,5	12,1	38,16	1,760
310	Victoria	4000	2	82,10	0,82	0,24	0,42	10,61	10,6	12,3	37,88	1,800
311	Victoria	2000	2	77,90	0,81	0,22	0,37	9,28	11,1	12,8	40,40	1,790
312	Gualeguay	4000	2	79,30	1,16	0,29	0,36	4,26	11,1	12,8	38,28	1,560
313	Gualeguay	2000	2	79,40	1,33	0,11	0,25	13,84	10,5	12,1	39,36	1,660
314	Gualeguay	2000	2	81,60	0,79	0,30	0,49	10,55	10,6	12,3	38,32	1,670
315	Gualeguaychú	4000	2	80,90	1,00	0,29	0,38	10,61	10,5	12,1	39,84	1,550
316	Gualeguaychú	2000	2	78,40	1,63	0,09	0,09	10,12	10,7	12,4	37,94	1,500
317	Gualeguaychú	4000	2	80,90	0,37	0,13	0,61	9,16	10,5	12,1	37,46	1,630
318	Nogoyá	2000	2	80,10	1,58	0,22	0,98	7,60	10,8	12,5	38,90	1,640
319	Nogoyá	4000	2	79,50	0,55	0,25	0,46	1,86	11,3	13,1	44,28	1,690
320	Nogoyá	4000	1	81,10	0,72	0,16	0,49	1,31	11,0	12,7	37,14	1,670
321	C. del Uruguay	4000	2	80,00	0,49	0,28	1,03	7,16	10,5	12,1	31,54	1,770
322	C. del Uruguay	4000	1	82,00	0,28	0,12	0,24	7,85	10,5	12,5	35,12	1,760
323	Villaguay	4000	2	78,10	0,91	0,28	0,56	4,22	11,4	13,2	31,96	1,770
324	Rosario del Tala	2000	2	79,70	0,77	0,34	0,55	10,68	10,5	12,1	38,72	1,660
325	Rosario del Tala	2000	2	79,50	0,15	0,21	0,99	5,36	10,9	12,6	41,80	1,630

APPENDIX OF LOCALITY COMPOSITE SAMPLES
SAMPLE IDENTIFICATION		FLOUR 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(%)	% WA(14% H°)	T, D, (MIN.)	STABILITY (MIN.)	DEGREE SOFTENING(12 MIN.)	P	L	W	P/L	ASH(dry basis)(%)
300	Diamante	23,0	7,4	446	72,3	60,0	7,3	14,4	41	126	51	246	2,47	0,665
301	Diamante	24,5	8,2	502	72,5	59,6	4,5	15,6	31	102	70	261	1,46	0,725
302	Diamante	23,8	7,9	506	71,0	56,2	9,5	20,5	32	89	81	258	1,10	0,615
303	La Paz	24,1	8,0	439	71,0	57,6	9,5	17,7	39	98	80	277	1,23	0,625
304	La Paz	25,5	8,5	491	72,6	58,1	8,5	14,3	47	86	96	271	0,90	0,615
305	Paraná	23,8	7,9	437	72,2	59,3	8,2	17,0	35	107	68	268	1,57	0,625
306	Paraná	24,1	8,0	453	72,2	58,8	7,4	13,2	51	96	72	236	1,33	0,615
307	Paraná	25,1	8,1	419	71,5	60,9	8,4	12,7	54	102	85	294	1,20	0,625
308	Paraná	21,7	7,4	495	72,8	57,3	6,6	18,4	29	89	68	222	1,31	0,675
309	Victoria	24,2	7,9	438	72,9	58,7	7,4	16,2	38	95	84	278	1,13	0,615
310	Victoria	23,5	7,6	449	73,0	61,3	8,0	14,1	50	115	61	262	1,89	0,595
311	Victoria	23,6	8,0	508	70,9	57,6	5,4	9,4	68	78	85	213	0,92	0,695
312	Gualeguay	24,9	8,2	457	71,5	58,3	9,5	13,1	49	90	92	284	0,98	0,565
313	Gualeguay	22,7	7,6	498	72,6	59,5	6,0	10,2	62	86	75	218	1,15	0,695
314	Gualeguay	24,2	8,1	526	71,5	59,3	7,3	16,0	59	11	56	230	0,19	0,705
315	Gualeguaychú	22,2	702	457	72,0	59,4	1,8	3,6	46	109	59	243	1,85	0,525
316	Gualeguaychú	24,1	8,1	470	72,5	57,8	6,0	10,9	60	82	70	237	1,17	0,565
317	Gualeguaychú	23,1	8,0	482	69,0	57,6	6,1	12,6	53	90	76	238	1,18	0,615
318	Nogoyá	25,9	8,3	442	71,1	58,9	7,0	11,8	46	98	67	228	1,46	0,585
319	Nogoyá	24,3	8,3	471	75,3	61,5	5,8	8,4	64	98	77	253	1,27	0,732
320	Nogoyá	24,0	7,9	459	70,5	57,8	7,9	13,3	50	91	74	238	1,23	0,725
321	C. del Uruguay	22,2	7,5	446	72,8	60,0	2,5	14,1	27	82	79	215	1,04	0,645
322	C. del Uruguay	22,3	7,3	464	71,8	57,1	9,8	22,0	23	96	67	245	1,43	0,750
323	Villaguay	24,9	8,3	466	72,8	57,5	7,2	16,3	39	103	71	274	1,45	0,595
324	Rosario del Tala	26,7	8,7	459	74,3	59,1	2,1	11,2	37	91	82	249	1,11	0,625
325	Rosario del Tala	23,1	7,8	472	71,8	58,7	6,6	10,9	57	86	80	231	1,08	0,725