Home About Browse Search

Predicting malting barley protein concentration

based on canopy reflectance and site characteristics

Pettersson, C.G. (2007). Predicting malting barley protein concentration. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2007:56
ISBN 978-91-576-7335-8
[Doctoral thesis]

[img] PDF


The preferred grain protein concentration (CP) of malting barley is 10.5-11.0%, but 9.5-11.5% is acceptable. It is a challenge for farmers to achieve this target with crops grown in heterogeneous fields and exposed to fluctuating weather conditions. There are also economic and environmental reasons to balance the supply of nutrients to plant requirements. This forms the basis for precision agriculture, where barley has received limited attention. The key factor for precision agriculture in malting barley is the ability to predict CP from early observations of the crop so as to control a second fertiliser application. This thesis investigates the possibility of predicting malting barley grain CP at an early stage of development and of using a second fertilisation application during growth for total nitrogen (N) adjustment. Three experiments were conducted. The first consisted of eleven field trials (1992-1994) and was used to compare broadcasting/harrowing and combi-drilling for applying full-rate fertiliser at sowing using two types of fertilisers; pure N and one also containing phosphorus (NP). The second experiment consisted of sixteen fertiliser field trials (2001-2003) and was used to examine the possibility of postponing the decision on total N. The third consisted of three evenly fertilised fields (2002-2004). In experiments 2 and 3, canopy reflectance was measured at developmental stages BBCH 32, 45 and 69. Soil macronutrients, organic matter and mechanical composition were analysed in all ex-periments. Malting barley yield was higher when fertiliser was combi-drilled into the soil and when NP fertiliser was used. Grain CP was predicted in the field (R2adj = 0.73) from soil electrical conductivity (SECa), the canopy reflection-based vegetation index (VI) TCARI/OSAVI estimated at BBCH 32 and the sum of daily maximum temperatures during anthesis and grain filling (STS). In the fertilisation trials, CP was predicted (R2adj = 0.83) by sowing day number and the VI TCARI evaluated together with solar angle at measurement. Grain yield was independent, and grain CP almost independent, of whether all fertiliser was applied at sowing or divided between sowing and BBCH 32.

Authors/Creators:Pettersson, C.G.
Title:Predicting malting barley protein concentration
Subtitle:based on canopy reflectance and site characteristics
Series Name/Journal:Acta Universitatis Agriculturae Sueciae
Year of publishing :2007
Number of Pages:29
ALLI. Pettersson, C.G. 2007. Reappraisal of methods of application of nutrients at sowing on the yield, grain protein content and nitrogen economy of malting barley in Sweden. Submitted manuscript. II. Pettersson, C.G., Söderström, M. & Eckersten, H. 2006. Canopy reflectance, thermal stress, and apparent soil electrical conductivity as predictors for within-field variability in grain yield and grain protein of malting barley. Precision Agriculture 7, 343-359. III. Pettersson, C.G. & Eckersten, H. 2007. Prediction of grain protein in spring malting barley grown in northern Europe. Accepted for publication in European Journal of Agronomy 2007-04-12. IV. Pettersson, C.G., Eckersten, H. & Ritz, C. 2007. Prediction of malting barley N concentration from reflectance-based Vegetation Indices. Manuscript.
Place of Publication:Uppsala
ISBN for printed version:978-91-576-7335-8
Publication Type:Doctoral thesis
Full Text Status:Public
Agrovoc terms:malting barley, hordeum vulgare, canopy, reflectance, grain, crude protein, crop yield, protein content, nitrogen content, fertilizer application, electrical conductivity, temperature, vegetation, sowing date, statistical methods, sweden
Keywords:canopy reflectance, grain crude protein, Hordeum distichum, sowing day number, soil electrical conductivity, temperature sum, vegetation index
Permanent URL:
ID Code:1465
Department:(NL, NJ) > Dept. of Crop Production Ecology
Deposited By: CG Pettersson
Deposited On:22 May 2007 00:00
Metadata Last Modified:02 Dec 2014 10:12

Repository Staff Only: item control page


Downloads per year (since September 2012)

View more statistics