Skip to main content

Prediction of Potential Mushroom Yield by Visible and Near-Infrared Spectroscopy Using Fresh Phase II Compost

Buy Article:

$29.00 plus tax (Refund Policy)

Abstract:

Potential mushroom (Agaricus bisporus) yield of phase II compost is determined by interactions of key quality parameters including dry matter, nitrogen dry matter, ammonia, pH, conductivity, thermophilic microorganisms, C : N ratio, fiber fractions, ash, and certain minerals. This study was aimed at generating robust visible and near-infrared (Vis-NIR) calibrations for predicting potential yield, using spectra from fresh phase II compost. Four compost comparative trials were carried out during the winter and summer months of 2001–2003, under controlled experimental conditions employing six commercially prepared composts, with eight replicate (8 bag) plots per treatment (48 × 8 = 384). The substrates were prepared by windrow or bunker phase I, followed by phase II production. The fresh samples were scanned for Vis-NIR (400–2498 nm) spectra, averaged, transformed, and regressed against the recorded yield by employing a modified partial least squares algorithm. The best calibration model generated from the database explained 84% of yield variation within the data set with a standard error of calibration of 13.75 kg/tonne of fresh compost. The model was successfully tested for robustness with yield results obtained from a validation trial, carried out under similar experimental conditions in early 2004, and the standard error of prediction was 18.21 kg/tonne, which was slightly higher than the mean experimental error (17.94 kg/tonne) of the trial. The accuracy of the model is acceptable for estimating potential yield by classifying phase II substrate as poor (180–220 kg), medium (220–260 kg), and high (260–300 kg) yielding compost. The yield prediction model is being transferred to a new instrument based at Loughgall for routine evaluation of commercial phase II samples.

Keywords: AGARICUS BISPORUS; PHASE II COMPOST; QUALITY ASSESSMENT OF SUBSTRATE; VIS-NIR SPECTROSCOPY

Document Type: Research Article

DOI: http://dx.doi.org/10.1366/0003702054615269

Affiliations: 1: Department of Applied Plant Science, School of Agriculture and Food Science, Queen's University Belfast, BT9 5PX, United Kingdom; Applied Plant Science Division, Department of Agriculture and Rural Development, Newforge Lane, Belfast, BT9 5PX, United Kingdom 2: Northern Ireland, Horticulture and Plant Breeding Station, Loughgall, Co Armagh, BT60 8JB, United Kingdom 3: Applied Plant Science Division, Department of Agriculture and Rural Development, Newforge Lane, Belfast, BT9 5PX, United Kingdom

Publication date: August 1, 2005

More about this publication?
sas/sas/2005/00000059/00000008/art00020
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more