Modelling dry matter production, partitioning, and yield of oil palm OPRODSIM : a mechanistic simulation model for teaching and research : technical manual and user"s guide by Ian E. Henson

Cover of: Modelling dry matter production, partitioning, and yield of oil palm | Ian E. Henson

Published by Malaysian Palm Oil Board, Ministry of Plantation Industries and Commodities, Malaysia in Kuala Lumpur, Malaysia .

Written in English

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Book details

StatementIan E. Henson
ContributionsLembaga Minyak Sawit Malaysia
The Physical Object
Paginationvii, 92 p. :
Number of Pages92
ID Numbers
Open LibraryOL24575606M
LC Control Number2009323810

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Modelling crop growth and yield in palm oil cultivation. cultivation. on measured data collected from various oil palm studies, were later included to better estimate oil palm root turnover, dry matter partitioning and flower sex : Alain Rival.

Abstract [Objective] In order to quantify the yield formation of protected tomato, [Method] the field experiments on varieties and fertilizer were conducted in andand cultivars: (B1) American mole 1 (early maturing), (B2) Chaoshijifanqiedawang (late maturing), and (B3) American (medium maturing) were adopted; The models of dry matter production and yield formation for Cited by: 3.

plant yield and physiological development time. However, the models were with more empirical, less mechanistic. Ni et al. [8] established the models of greenhouse tomato dry matter partition and yield prediction based on relationships between partitioning coefficient and harvest index and product of.

Roger R.B. Leakey, in Multifunctional Agriculture, Discussion. This study quantifies the variation in dry matter partitioning between constituent parts of marula nuts for the first time, and provides good fundamental knowledge about the range of variation in several important traits across geographically separated, as well as environmentally and culturally different sites, as well as.

Mathematical models were developed to predict growth and yield of oil palm under different environmental conditions.

Among these, OPSIM (Oil Palm Simulator) was the first semi-mechanistic oil palm. Model application – parameterization of biomass production, dry matter partitioning and crop development Simulations were carried out from transplanting to end of harvest in all experiments: days in experiments 1 and 3, days in experiment 2 and days in experiment by: 2.

The conversion to plant dry matter was performed using a factor of 068 (Warren Wilson et al., ). Maintenance respiration was not separately accounted for as a minor fraction with approx.

2 % reduction in daily dry matter (Marcelis, ). This model part provided a good estimate of the total measured dry matter. model for dry matter accumulation and partitioning and yield accumulation by analysing dry matter partitioning in processing tomatoes using data obtained from different growth years and cultivars.

Tests with different data sets involving different cultivars and sowing dates showed that the model gave reliable predictions and was practicable.

Marcelis LFM. A simulation model for dry matter partitioning in cucumber. Annals of Botany. ; – Marcelis LFM, Heuvelink E, Goudriaan J. Modelling biomass production and yield of horticultural crops: a review.

Scientia Horticulturae. ; – Marcelis LFM, Heuvelink E, Baan Hofman-Eijer LR, Den Bakker J, Xue LB. Enhancing dry matter production with higher partitioning to fruit bunches is important for sustainable intensification of oil palm.

A series of best management practices including site-specific nutrient management, canopy management, and harvesting has been developed for oil palm plantations. Seventeen palms selected as representative of six age-groups ranging from 7 to 22 years were cut down, split into their component parts and the dry weights obtained.

Data on plant composition and dry-matter accumulation since planting are given together with estimates of annual production expressed as dry matter per hectare (crop-growth rate) and on the basis of leaf area (net assimilation rate). A dynamic model is developed for the simulation of the daily dry matter distribution between the generative and vegetative plant parts and the distribution among individual fruits in greenhouse cucumber.

The model is based on the hypothesis that dry matter partitioning is regulated by the sink strengths of the plant organs.

Oil palm, currently the world’s main vegetable oil crop, is characterised by a large productivity and a long life span (≥25 years).

Peak oil yields of 12 t ha −1 yr −1 have been achieved in small plantations, and maximum theoretical yields as calculated with simulation models are t oil ha −1 yr −1, yet average productivity worldwide has stagnated around 3 t oil ha −1 yr −1.

Modeling is the process of producing a model; a model is a representation of the construction and working of some system of interest fig, illustrate the idea.A model is similar to but simpler than the system it represents.

One purpose of a model is to enable the analyst to predict the effect of changes to the system. highest yield of oil per hectare of any crop. The great economic efficiency of the oil palm is easily seen from the following simple calculation. Soyabean cultivation in the USA for example, gives a yield of about t of beans per hectare (1 ha = ac), which translates into about t of oil and 2 t of meal.

Taking the monetary value of. changing yield cycle,dry matter production,underplanting, disease resistance: genetic variation, distribution of oil palm in Africa, 3 diwakkawakka, 48 Djongo, ancestral palm,breeding values, – DNA methylation and abnormal flowering of clones, Dolok Sinumbah pisifera cf.

AVROS, As a consequence, conventional forestry yield tables or growth models do not estimate total net primary production (TNPP) or predict changes in dry-matter partitioning (the distribution of TNPP) as genotype, site and silvicultural factors change. Enhancing dry matter production with higher partitioning to fruit bunches is important for sustainable intensification of oil palm.

A series of best management practices including site-specific. The oil palm is the worlds most valuable oil crop. With palm oil production increasing by more than 50% in the last decade of the twentieth century and set to double in the next twenty years, it has never before been so important to understand the history, use and cultivation of this fascinating crop.

There have been many new developments since the third edition of The Oil Palm in   VEGETATIVE GROWTH AND PARTITIONING OF DRY MATTER. ENVIRONMENTAL AND MANAGEMENT FACTORS. FLOWERING. Can Riparian Forest Buffers Increase Yields From Oil Palm Plantations?, Earth's Future, 6, 8, ()Statistical Modeling of Weather-based Yield Forecasting for Young Mature Oil Palm, APCBEE Procedia, 4, (58).

The oil palm is the world's most valuable oil crop. Its production has increased over the decades, reaching 56 million tons inand it gives the highest yields per hectare of all oil crops. Remarkably, oil palm has remained profitable through periods of low prices. Example of yield gap analysis in a single block Example of the effect of BMP on yield gaps over several years Yield gaps in oil palm plantings in Southeast Asia The relationship between scale and yield.

Estimates of site yield potential in Southeast Asia Scope for yield improvement in Southeast Asia Dry matter partitioning and yield formation are key points for successful simulation of seed yield.

The response of dry matter partitioning and yield of sunflower (Helianthus annuus L.) to plant. Simplified Model of Dry Matter Partitioning in Relation to Grain Yield Stability in Rice Naoto INOUE웋,Shinya KASAJIMA워,Futoshi KATO웍,Rezwanul MAHMUD웎, Zhongfa YANG웏and Sigemitsu KASUGA웋 웋Faculty of Agriculture,Shinshu University,Minamiminowa,Nagano ,Japan.

The physiological oil palm growth model PALMSIM can be used to estimate yield ceilings that provide benchmarks for sustainable intensification of oil palm production, either by expansion of. jor contributor to oil yields under planting designs following an equilateral triangle model as used in various monocultures (Prévotet al., ; Smith, ).

We are investigatingthe op-timum spacing which might be able to ensure the highest cu-mulative production over a cropping cycle of around 25 years. African palm grove oil production 3 Early trade 3 Water relations and palm yield Contents vii Radiation and its effects 61 Partitioning of dry matter Vegetative growth and partitioning of dry matter partitioning to the kernel; this is a key to yield stability under stress (Kumar et al., ).

Dry matter accumulation in wheat stems, particularly water-soluble carbohydrates, may be reduced due to stress; however, water soluble carbohydrates may account for up to 60% of dry matter accumulation in the wheat kernel as a result of improved.

and a production rate of dry oil palm biomass of tonnes per ha per year (Lim ), shows that the Malaysian palm oil industry produced approximately million tonnes of dry lignocellulosic biomass in This figure is expected to increase substantially when the total planted hectarage of oil palm in Malaysia could reach Layout for Oil Palm Dry Fractionation Method.

Crystallization Technique. The RBDPO Feed Oil is pumped to the Crystallizer. The fractionation system is batch type made up of vertical cylindrical vessel full of thermo-regulated water which is fitted with a mechanical agitator which rotates at the slow speed.

This chapter describes how growth of oil palms has been measured and analysed. It first reviews partitioning of dry matter between vegetative growth and yield of fruit bunches. The analysis of dry. Chapter 10 (Page no: ) Dry matter production. This chapter discusses in detail some of the key features in modelling dry matter production by a crop canopy that is not subjected to water or nutrient stresses, or not affected by competition with insects, diseases and weeds.

nitrogen. Sources, methods and timing of nitrogen application had significantly influenced dry matter partitioning at pre-anthesis stage, at physiological maturity and final yield.

In case of sources of nitrogen higher dry matter partitioning at pre-anthesis stage to leaf ( g m-2), stem ( g m-2), spike. models are validated wholly or partly on the same data as those used for model development (e.g. Jones et al., ; Lieth and Pasian, ), which is not sound practice (McCarl, ).

Heuvelink and Marcelis () presented a model for dry matter partitioning in tomato, based on the sink strengths (potential growth rates) of the plant organs. The origin and development of the oil palm industry 1 Origin of the oil palm 1 Physical evidence 1 Dry matter production 91 Early work on oil palm 91 Standing biomass 92 Yield forecasting Crop modelling 5.

Selection and breeding Fruit and root dry matter production was simulated badly for the experiment. LAI, individual leaf area and truss appearance were simulated adequately in the experiment. It is concluded that INTKAM is a robust model for simulating dry matter production in a tomato crop.

INTRODUCTION. Water supply is the main yield-limiting factor of oil palm (Kallarackal et al., ). There are large cultivated areas worldwide, which lack optimal conditions in terms of water availability, and the direct result is the yield reduction in terms of production of fresh fruit bunches and oil (Cornaire et.

Oil palm fruit grading manual SB P3L Oil palm fruit bunch grading system using red, green and blue digital number PFK Manual penanaman dan penyelenggaraan sawit untuk sektor pekebun kecil SB P3M Genome analaysis: A laboratory manual QH G Modelling dry matter production, partitioning and yield of oil palm: OPRODSIM: A mechanistic simulation model for.

Dry matter production is an important yield determining and judging factor in field crops particularly in legumes. The increase in dry matter of legumes depends primarily on the equilibrium between photosynthesis and respiration (Yadav, ).

Dry matter accumulation and harvest index are two major physiological parameters. Analysis of percent dry weighs of oil palm biomass 5 Nutrient composition of oil palm biomass 5 Oil palm biomass analysis 6 Ethanol yield from oil palm biomass 6 Fermentation optimization of parameter 11 Proportion for glucose standard 13 Independent variable used in factorial model design 21 Analysis of Variance.

Responses of Young Tea (Camellia sinensis) Clones to Drought and Temperature. II. Dry Matter Production and Partitioning - Volume 32 Issue 4 - P.

J. Burgess, M. K. V. Carr. Dry-matter partitioning in a tomato crop: Comparison of two simulation models E. Heuvelink Wageningen Agricultural University, Department of Horticulture, Haagsteeg 3, PM, Wageningen, The Netherlands & N.

Bertin Institut National de la Recherche Agronomique, Unite de Bioclimatologie, Centre de Recherches d'Avignon, BP 91, F, Montfavet. On the other hand, oil palm was found most sustainable with respect to the maintenance of soil quality, net energy production and greenhouse gas emissions, when biodiversity loss due to oil palm expansion was analyzed in relation to alternative crops for oil or energy, such as soybean, rapeseed, corn or sugar cane (de Vries et al., ).

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