eprintid: 1776
rev_number: 9
eprint_status: archive
userid: 14
dir: disk0/00/00/17/76
datestamp: 2011-09-21 06:30:57
lastmod: 2011-09-21 06:30:57
status_changed: 2011-09-21 06:30:57
type: article
metadata_visibility: show
contact_email: Library-ICRISAT@cgiar.org
item_issues_count: 0
creators_name: Robertson, M J
creators_name: Carberry, P S
creators_name: Chauhan, Y S
creators_name: Ranganathan, R
creators_name: O'Leary, G J
icrisatcreators_name: Chauhan, Y S
icrisatcreators_name: Ranganathan, R
icrisatcreators_name: O'Leary, G J
affiliation: CSIRO Sustainable Ecosystems, Agricultural Production Systems Research
affiliation: ICRISAT(Patancheru)
country: Australia
country: India
title: Predicting growth and development of pigeonpea: a simulation model
ispublished: pub
subjects: s1.2
full_text_status: restricted
abstract: A simulation model of pigeonpea is described that is designed to simulate the development, growth, nitrogen accumulation and yield of a wide range of maturity types from extra-short to medium-duration in response to weather, soil conditions and agronomic management. Parameters of the model for phenological development, leaf area expansion, radiation interception, biomass accumulation and partitioning, crop water use, root growth and water extraction, and nitrogen accumulation are derived from published studies. In addition, the calibration exercise is described to derive the parameters accounting for the effect of plant population density on leaf area expansion. The model was tested on 38 data sets, not previously used to derive model parameters, collected at Patancheru, India. Data sets encompassed a wide range of plant type, sowing density, and seasons, grown on Alfisol and Vertisol soil types under dryland and irrigated conditions. The time to flowering and maturity from the extra-short to medium-duration types were simulated well, explaining 96 and 92% of the variance (RMSD=4.3 and 9.8 days), respectively. Total aboveground biomass was simulated with less accuracy, explaining 74% of the variance (RMSD=2056 kg ha-1) and grain yield was simulated explaining 76% of the variance (RMSD=332 kg ha-1). There remains scope for model improvement in the areas of waterlogging and testing on crop N accumulation. This pigeonpea module, when coupled with other crop, soil and management modules can be used to address a range of cropping systems issues.
date: 2001
publication: Field Crops Research
volume: 71
number: 3
publisher: Elsevier
pagerange: 195-210
refereed: TRUE
official_url: http://dx.doi.org/10.1016/S0378-4290(01)00160-5
related_url_url: http://scholar.google.co.in/scholar?as_q=Predicting+growth+and+development+of+pigeonpea%3A+a+simulation+model&num=10&btnG=Search+Scholar&as_epq=&as_oq=&as_eq=&as_occt=title&as_sauthors=&as_publication=&as_ylo=&as_yhi=&as_sdt=1.&as_sdtp=on&as_sdtf=&as_sdts
related_url_type: author
citation:   Robertson, M J and Carberry, P S and Chauhan, Y S and Ranganathan, R and O'Leary, G J  (2001) Predicting growth and development of pigeonpea: a simulation model.  Field Crops Research, 71 (3).  pp. 195-210.      
document_url: http://oar.icrisat.org/1776/1/FieldCropsRes71_3_195-210_2001.pdf