Published April 2008 | Version v1
Journal article

Estimation of effects of photosynthesis response functions on rice yields and seasonal variation of CO2 fixation using a photosynthesis-sterility type of crop yield model

  • 1. Matsue National Coll. of Technology (Japan)

Description

This study presents a crop production model improvement: the previously adopted Michaelis-Menten (MM) type photosynthesis response function (fsub(rad-MM)) was replaced with a Prioul-Chartier (PC) type function (fsub(rad-PC)). The authors' analysis reflects concerns regarding the background effect of global warming, under simultaneous conditions of high air temperature and strong solar radiation. The MM type function fsub(rad-MM) can give excessive values leading to an overestimate of photosynthesis rate (PSN) and grain yield for paddy-rice. The MM model is applicable to many plants whose (PSN) increases concomitant with increased insolation: wheat, maize, soybean, etc. For paddy rice, the PSN apparently shows a maximum PSN. This paper proves that the MM model overestimated the PSN for paddy rice for sufficient solar radiation: the PSN using the PC model yields 10% lower values. However, the unit crop production index (CPIsub(U)) is almost independent of the MM and PC models because of respective standardization of both PSN and crop production index using average PSNsub(0) and CPIsub(0). The authors improved the estimation method using a photosynthesis-and-sterility based crop situation index (CSIsub(E)) to produce a crop yield index (CYIsub(E)), which is used to estimate rice yields in place of the crop situation index (CSI); the CSI gives a percentage of rice yields compared to normal annual production. The model calculates PSN including biomass effects, low-temperature sterility, and high-temperature injury by incorporating insolation, effective air temperature, the normalized difference vegetation index (NDVI), and effects of temperature on photosynthesis. Based on routine observation data, the method enables automated crop-production monitoring in remote regions without special observations. This method can quantify grain production early to raise an alarm in Southeast Asian countries, which must confront climate fluctuation through this era of global warming

Additional details

Publishing Information

Journal Title
Journal of the Japanese Agricultural Systems Society
Journal Volume
24
Journal Issue
2
Journal Page Range
p. 93-102
ISSN
0913-7548

INIS

Country of Publication
Japan
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46110895
Subject category
S60: APPLIED LIFE SCIENCES; S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
MAIZE; PHOTOSYNTHESIS; RESPONSE FUNCTIONS; RICE; SEASONAL VARIATIONS; SOLAR RADIATION; SOYBEANS; WHEAT
Descriptors DEC
CEREALS; CHEMICAL REACTIONS; FOOD; FUNCTIONS; GRAMINEAE; LILIOPSIDA; MAGNOLIOPHYTA; PHOTOCHEMICAL REACTIONS; PLANTS; RADIATIONS; SEEDS; STELLAR RADIATION; SYNTHESIS; VARIATIONS; VEGETABLES

Optional Information

Notes
FAO/AGRIS record; ARN: JP2008006110