Grain nutrient Grain nutrient ana analys lysis is and and benchmarking webinar benchmarking webinar
Roger Sylvester-Bradley, Sajjad Awan and Teresa Meadows
benchmarking webinar benchmarking webinar Roger Sylvester-Bradley, - - PowerPoint PPT Presentation
Grain nutrient Grain nutrient ana analys lysis is and and benchmarking webinar benchmarking webinar Roger Sylvester-Bradley, Sajjad Awan and Teresa Meadows Housekeeping Nutrient Management @rogersylbrad Guide @CerealsEA @AHDB_Cereals
Roger Sylvester-Bradley, Sajjad Awan and Teresa Meadows
@rogersylbrad @CerealsEA @AHDB_Cereals
Your host… Teresa Meadows Knowledge Exchange Manager (East Anglia)
19:00 Welcome and introductions Teresa Meadows, AHDB 19:10 Theory, principles and evidence behind grain nutrient analysis Roger Sylvester-Bradley, ADAS 19:25 Using grain nutrient analysis on-farm Roger Sylvester-Bradley, AHDB and Sajjad Awan, AHDB 19:35 Questions and discussion 19:50 Nutrient management planning and RB209 reminder for harvest 2021 Sajjad Awan, AHDB 19:55 Closing comments Teresa Meadows, AHDB 20:00 Close
Boxwort rth, h, Cambridge mbridge
AHDB webinar, August 2020
representative sampling
Threes ees use ses: s:
1.
Measures P, K, etc. offtakes
2.
3.
Gauges possible nutrient deficiencies.
from the Cereal YEN+ 0.10 0.21 0.31 0.41 0.51
25 50 75 100 125 150 2 4 6 8 10 10
Grain P, % dry matte ter
Wheat at P2O5 offtak ake, e, kg/t grain n @15% moisture Occurrence in YEN+ dataset:
Old RB209 7.8 kg/tonne
+AHDB, Yara & ADAS data plus
New RB209 6.5 kg/tonne
0. 0.0 0. 0.1 0. 0.2 0.3 0.3 0. 0.4 0. 0.5 0. 0.6 2 4 6 8 10 10 12 12 10 20 30 40 Grain in P, %DM
Grai ain yield, eld, t/ha ha
Soil l P, mg/l
Critical soil P Critical tical grain ain P
Typical yield response to soil P
1 2 3 SOIL P INDEX EX :
1 2 3 0. 0.1 0. 0.2 0. 0.3 0.4 .4 0. 0.5
Yield ld response ponse to extra tra soil l P, t/ha Grai ain P without thout extra tra soil l P, % DM
‘Critical’ grain P
Old UK & Foreign ign data: a: New AHDB DB data ta:
Cri riti tica cal value
in grain n DM
Nitroge trogen, n, N 1.9 % Phos
phor
, P 0.32 32 % Potassi tassium, m, K 0.38 % Sul ulphur phur, S 0.12 12 % Magn gnesium, esium, Mg 0.08 % Calcium, Ca Iron, Fe Mang ngan anese, e, Mn Mn 20 20 ppm
ppm
Zinc, nc, Zn 15 ppm Coppe per, r, Cu 2 ppm Boron, B Molybdenum, Mo
Mg Mg
Ca Ca
Mn Mn
Cu Cu Zn Zn Fe Fe B
Mo Mo
0% 25% 50% N P K S Mg Mn Zn Cu
Deficiencies in grain samples from 633 YEN+ crops after harvests from 2016 to 2018: None ne , , 27% 27%
1, 27% 2, 21% 3, 13% 4, 8%
5 or more, 4%
The number of nutrients that were deficient The % of crops with this number
Occurrence of deficiencies
YEN+: Data from the YEN (by NRM), plus the Grain Nutrient Benchmarking pilot were supported by ADAS, AHDB & Yara (Lancrop)
Extra information needed for Bench chmarkin marking
0 50 100 Max.value Min.value Mid-value Critical value Middle 50%
Your value
−But is not fully reliable −Needs cross-checking
−Can support corrective sprays etc. −Problematic to interpret … weather effects … ‘norms’ change as crops age −Uncertain thresholds / critical values
−Most accurate, precise & easy −Embraces soil supply, rooting, foliar sprays and any soil moisture issues −NEW .. so Significant value in sharing results … either informally,
.. or with organised BENCHMARKING
Roger Sylvester-Bradley and Sajjad Awan
Resource Management Scientist, AHDB
For accurate and precise nutrient management, attention to detail is essential The ‘4R’ rule for nutrient management:
targets of high yielding modern winter milling wheat: March 2022
Section 1 Section 4
p.21 p.26
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@rogersylbrad @CerealsEA @AHDB_Cereals Next webinar: Managing BYDV – 2 September, 7pm Teresa Meadows teresa.meadows@ahdb.org.uk 07387 015465