scholarly journals Selection gains for the palm oil production from progenies of American oil palm with oil palm

2021 ◽  
Vol 56 ◽  
Author(s):  
Rui Alberto Gomes Junior ◽  
Alessandra Ferraiolo de Freitas ◽  
Raimundo Nonato Vieira da Cunha ◽  
Antônio José de Abreu Pina ◽  
Higo Otávio Brochado Campos ◽  
...  
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Genetic Parameters ◽  
Recurrent Selection ◽  
Oil Production ◽  
Reciprocal Recurrent Selection ◽  
Fresh Fruit Bunches ◽  
Favorable Conditions ◽  
Selection Of

Abstract The objective of this work was to estimate the genetic parameters, correlations, and selection gains for the oil production of interspecific hybrids progenies between American oil palm, of ‘Manicoré’ origin, and oil palm, of ‘La Mé’ origin. Thirty-nine progenies were evaluated from the sixth to the ninth year after planting, for the productivity of fresh fruit bunches (PROD_FFB), oil content in the bunch (OCB), and palm oil productivity (PROD_OP). The genetic parameters and gains from direct (GDS) and indirect (GIS) selection were estimated for PROD_OP. High values of heritability for the CVg/CVe ratio indicated favorable conditions for the selection. With the selection of 20% of the progenies (selection in both sexes), the following estimates were obtained: 11.15% GDS for PROD_OP, 9.1% GIS for OCB, and 8.1% GIS for PROD_FFB. The PROD_OP of the progenies was of 6,175, 6,057, and 5,995 kg ha-1 per year with GDS and GIS for OCB and PROD_FFB, respectively. The restricted selection of the LM2T male genitor offspring resulted in 5.1% estimated GSD and in a mean of 5,800 kg ha-1 per year for PROD_OP. Selection gains for PROD_OP can be achieved immediately through the selection restricted to oil palm male genitors, and, in the medium and long term, through the interspecific reciprocal recurrent selection between American oil palm and oil palm populations.

CAN GOOD AGRICULTURAL PRACTICES SUSTAIN OIL PALM YIELDS FOR BIOENERGY PRODUCTION IN NORTHEAST THAILAND?

2017 ◽  
Vol 54 (6) ◽  
pp. 915-930
Author(s):  
SIRILUK SOMNUEK ◽  
MAJA SLINGERLAND
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Agricultural Practices ◽  
Oil Production ◽  
Tree Age ◽  
Northeast Thailand ◽  
Good Agricultural Practices ◽  
The Government ◽  
Fresh Fruit Bunches ◽  
Fertiliser Application

SUMMARYThe government of Thailand aims for sustainability of palm oil production in the Northeast for bioenergy and farmers’ income. This study investigated whether producers in Northeast Thailand managed their oil palm according to good agricultural practices (GAP) and if not, what effects this has on yield. A survey was conducted amongst 108 randomly selected farmers. For 25 selected plots, management and yields were monitored twice a month for two full years. Compliance to GAP was high for weeding, harvesting, pruning and pest and disease control but not for irrigation (40%) and fertiliser application (20–40%). GAP adoption scores per households positively correlated with income from other crops, tree age and degree of training. We showed that rainfall was insufficient for good oil palm growth between October and April. In the monitored group, use of irrigation and amounts of N, P, K and Mg applied were strongly correlated. The yield was significantly greater with irrigation and fertiliser, reaching similar levels as in the South of Thailand (up to 25–30 Mg Fresh Fruit Bunches: FFB ha−1), but did not differ with soil texture. This allows us to conclude that better application of GAP, especially including a combination of irrigation and fertilisers overcame the unsuitable soil and rainfall conditions in the Northeast of Thailand. However, the costs of fertilisers compared to the price of FFB affected the profitability of FFB production, which may affect farmers’ motivation to apply GAP, especially on unsuitable soils. When the government aims for sustainable palm oil production in the Northeast it needs to invest in frequent technical support, irrigation infrastructure and affordable fertilisers. Otherwise, farmers may not apply GAP because of low returns on investments and yields will remain very modest.

scholarly journals Genetic progress in maize from advanced cycles of reciprocal recurrent selection through REML/BLUP

2020 ◽  
pp. 1295-1301
Author(s):  
José Arantes Ferreira Júnior ◽  
Gabriel Moreno Bernardo Gonçalves ◽  
Jocarla Ambrosim Crevelari ◽  
Julio Cesar Fiorio Vettorazzi ◽  
Vivane Mirian Lanhellas Gonçalves ◽  
...  
Keyword(s):  
Grain Yield ◽  
Mixed Models ◽  
Variance Components ◽  
Genetic Parameters ◽  
Recurrent Selection ◽  
Yield Potential ◽  
Reciprocal Recurrent Selection ◽  
Genetic Progress ◽  
Advanced Cycles ◽  
Selection Of

Breeding methods such as reciprocal recurrent selection (RRS) is very important alternative to breeders. This strategy, besides allowing continuous genetic progress, helps maintaining the genetic variability of populations. The aim of the present study was to estimate genetic parameters, as well as to predict selection gains in advanced cycles of reciprocal recurrent selection of maize progenies through mixed models. Two selection cycles were considered. We evaluated 196 and 169 progenies in the 15 and 16 cycles, respectively. The yield potential of the progenies was evaluated from the following characteristics: grain yield, number of ears, weight of ears and weight of 100 seeds. The estimate of variance components and the prediction of genetic values were based on the REML/BLUP method. Overall, the genetic parameters were increased in the 16th cycle estimates compared to the previous cycle. It is worth highlighting that heritability coefficient for the grain yield was (0.81) in the 16th cycle, since it resulted in 21% of selection gain. Results showed that, even after sixteen recurrent selection cycles, the populations under selection have high potential for satisfactory genetic gains.

scholarly journals Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny

2022 ◽  
Vol 52 (5) ◽  
Author(s):  
Fernanda Vargas Valadares ◽  
Rafael Nunes de Almeida ◽  
Lázaro Renilton Emerick Silva ◽  
Geferson Rocha Santos ◽  
Raissa Olmo Lacerda Pirovani ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Analysis Of Variance ◽  
Genetic Parameters ◽  
Recurrent Selection ◽  
Block Design ◽  
Reciprocal Recurrent Selection ◽  
Significance Level ◽  
Water Stress Tolerance ◽  
Sib Families ◽  
Selection Of

ABSTRACT: In view of the need to increase genetic variability to obtain materials with a significant capacity to drought tolerance, this study conducted a cycle of a reciprocal recurrent selection of full-sib families of maize. To this end, 64 full-sib families of maize were evaluated in two environments according to their morpho-agronomic data in a randomized block design with two replicates. It were analyzed of Male flowering (MF); Female flowering (FF); Flowering interval (IF); days for flowering (DF); Plant height (PH); Ear height (EH); number of plants at the Stand (NPS); Number of broken plant (NBrP); Number of bedded plants (NBeP); Strawing (St); Ear length (EL); Ear diameter (ED); Ear number (EN); Prolificacy (Pr); Number of diseased ears (NDE); Number of ears attacked by pests (NEP); Ear weight (EW); Yield (YIE) and Total Chlorophyll Index (TCI). The analysis of variance was performed by the F test at 5% significance level, and also the evaluation of genetic parameters. Regarding morpho-agronomic data, the analysis of variance and the analysis of genetic parameters showed that there was no interaction genotype x environment with regard to the genetic variability among the families under study. Lastly, the final selection of the superior genotypes was made on the basis of the ranking of the 40 most productive families, from which, combined with the molecular data, the 30 most productive, most drought-tolerant, and most genetically diverse ones were selected to compose the next cycle of recurrent maize selection aiming water-stress tolerance.

Sistem Pakar Mendeteksi Penyakit Tanaman Kelapa Sawit Menggunakan Metode Forward Chaining

2019 ◽  
Vol 1 ◽  
pp. 444
Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra
Keyword(s):  
Expert System ◽  
Programming Languages ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Plant Diseases ◽  
Accurate Information ◽  
Forward Chaining ◽  
Web Programming ◽  
Level Of Confidence

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.

The SUSPECT SYMPTOMS OF INBREEDING DEPRESSION AND THE HOMOZYGOSITY LEVEL OF FOURTH GENERATION OF SP450T AND FIFTH GENERATION OF DURA DELI OIL PALM SELFING POPULATION

2018 ◽  
Vol 24 (2) ◽  
pp. 55-66
Author(s):  
Rokhana Faizah ◽  
Sri Wening ◽  
Hernawan Yuli Rahmadi ◽  
Abdul Razak Purba
Keyword(s):  
Inbreeding Depression ◽  
Oil Palm ◽  
Recurrent Selection ◽  
Fourth Generation ◽  
Depression Symptoms ◽  
Reciprocal Recurrent Selection ◽  
Chain Reaction ◽  
Fifth Generation ◽  
Polymerase Chain ◽  
Simple Sequence

Inbreeding is a common method used to reproduce candidate mother plant from selected parental lines for commercial seeds in Reciprocal Recurrent Selection (RRS) oil palm breeding program. However this practice may increased homozigosity level of selected population. This study concerned the level of homozygosity of SP540T fourth generations and Dura Deli Dolok Sinumbah fifth generations (3 crosses respectively) and their correlation with inbreeding depression symptoms. Polymerase Chain Reaction-Simple Sequence Repeat (PCR-SSR) with 16 markers developed for oil palm was used to analyze 327 samples. The result shows that the levels of homozigosity of SP540T fourth selfing generation were ranged between 0.44-0.84 or 0.61 in average. While the levels of homozygosity of Dura Deli fifth selfing generations were ranged between 0.60-0.93 or 0.78 in average. The homozygosity level in Dura Deli was 1.27% higher than SP540T populations. Correlation analysis showed that the higher the level of homozygosity, the higher of the inbreeding symptoms 2 observed (R =0.95).

scholarly journals Oil palm land conversion in Pará, Brazil, from 2006–2014: evaluating the 2010 Brazilian Sustainable Palm Oil Production Program

2018 ◽  
Vol 13 (3) ◽  
pp. 034037 ◽  
Author(s):  
E Benami ◽  
L M Curran ◽  
M Cochrane ◽  
A Venturieri ◽  
R Franco ◽  
...  
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Land Conversion ◽  
Production Program

scholarly journals The Optimal Felling Rate in the Palm Oil Plantation System

MATEMATIKA ◽  
2019 ◽  
Vol 35 (1) ◽  
pp. 95-104
Author(s):  
Mohd Ismail Abd Aziz ◽  
Noryanti Nasir ◽  
Akbar Banitalebi
Keyword(s):  
Optimal Control ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Real Data ◽  
Palm Trees ◽  
Environmental Friendly ◽  
Proposed Model ◽  
Carbon Absorption ◽  
Plantation System

Successful palm oil plantation should have high returns profit, clean and environmental friendly. Since oil palm trees have a long life and it takes years to be fully grown, controlling the felling rate of the palm oil trees is a fundamental challenge. It needs to be addressed in order to maximize oil production. However, a good arrangement of the felling palm oil trees may still affect the amount of carbon absorption. The objective of this study is to develop an optimal felling model of the palm oil plantation system taking into account both oil production and carbon absorption. The model facilitates in providing the optimal control of felling rate that results in maximizing both oil production and carbon absorption. With this aim, the model is formulated considering palm oil biomass, carbon absorption rate, oil production rate and the average prices of carbon and oil palm. A set of real data is used to estimate the parameters of the model and numerical simulation is conducted to highlight the application of the proposed model. The resulting parameter estimation is solved that leads to an optimal control of felling rate problem.

scholarly journals A Review of Southeast Asian Oil Palm and Its CO2 Fluxes

2020 ◽  
Vol 12 (12) ◽  
pp. 5077 ◽  
Author(s):  
Royston Uning ◽  
Mohd Talib Latif ◽  
Murnira Othman ◽  
Liew Juneng ◽  
Norfazrin Mohd Hanif ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Southeast Asian ◽  
Co2 Fluxes ◽  
Asian Countries ◽  
Peat Swamp ◽  
Oil Palm Industry ◽  
Southeast Asian Countries

Palm oil production is a key industry in tropical regions, driven by the demand for affordable vegetable oil. Palm oil production has been increasing by 9% every year, mostly due to expanding biofuel markets. However, the oil palm industry has been associated with key environmental issues, such as deforestation, peatland exploitation and biomass burning that release carbon dioxide (CO2) into the atmosphere, leading to climate change. This review therefore aims to discuss the characteristics of oil palm plantations and their impacts, especially CO2 emissions in the Southeast Asian region. The tropical climate and soil in Southeast Asian countries, such as Malaysia and Indonesia, are very suitable for growing oil palm trees. However, due to the scarcity of available plantation areas deforestation occurs, especially in peat swamp areas. Total carbon losses from both biomass and peat due to the conversion of tropical virgin peat swamp forest into oil palm plantations are estimated to be around 427.2 ± 90.7 t C ha−1 and 17.1 ± 3.6 t C ha−1 year−1, respectively. Even though measured CO2 fluxes have shown that overall, oil palm plantation CO2 emissions are about one to two times higher than other major crops, the ability of oil palms to absorb CO2 (a net of 64 tons of CO2 per hectare each year) and produce around 18 tons of oxygen per hectare per year is one of the main advantages of this crop. Since the oil palm industry plays a crucial role in the socio-economic development of Southeast Asian countries, sustainable and environmentally friendly practices would provide economic benefits while minimizing environmental impacts. A comprehensive review of all existing oil plantation procedures is needed to ensure that this high yielding crop has highly competitive environmental benefits.

THE INFLUENCE OF THE PALM SUGAR MASS ON THE MAKING OF THE COMPOS FROM THE PALM OIL SALES WITH ANAEROBIC FERMENTATION METHOD USING EM-4

Konversi ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 9
Author(s):  
Ramli Ramli ◽  
Marlinda Marlinda
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Anaerobic Fermentation ◽  
Total Content ◽  
Sugar Solution ◽  
Empty Fruit Bunches ◽  
East Kalimantan ◽  
Fermentation Method ◽  
Palm Sugar ◽  
Fresh Fruit Bunches

Abstract- East Kalimantan, especially Kutai regency produces 1,112,442 tons/year of palm oil. Oil palm empty fruit bunches (EFB) are one of the wastes generated in the processing of palm oil that is equal to 20-23% of the fresh fruit bunches, so the amount of EFB that can be generated is 244,737.24 tons/year. The purpose of this study is to determine the effect of palm sugar as a nutrient to nutrient nitrogen EM4, phosphor and potassium in composting EFB. This research was conducted by varying the mass of Palm Sugar: 0.4000 g, 0.6000 g, 0.8000 g, 1.0000 g and 1.2000 g. The main composting process that was carried out by adding EM4 solution of 10 mL and 100 mL sugar solution into 200 grams EFB, letting it stand for 30 days, and after that the analysis was conducted. The total content of nutrients is highest on the mass of 1.2000 g palm sugar that is 3.174%. The conclusion of this study is the greater the mass of Palm Sugar is added, the greater the concentration of nutrients found in the composting by using bacterial EM4. Keywords: bio-activator EM4, palm Sugar, EFB.

scholarly journals Postharvest Fruit Detachment in Oil Palm Bunches with Ethephon and Ethylene Gas Application

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1030
Author(s):  
Arutchelvam Balakrishnan ◽  
Mohd Ibnur Syawal Zakaria ◽  
Bee Aik Tan ◽  
Jaime Yoke Sum Low ◽  
Shwu Fun Kua ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Free Fatty Acids ◽  
Palm Oil ◽  
Oil Palm ◽  
Room Temperature ◽  
Indirect Method ◽  
Production Systems ◽  
Oil Quality ◽  
Crude Palm Oil ◽  
Fresh Fruit Bunches

The processing of oil palm fresh fruit bunches (FFB), together with loose fruits, in the current mill operation contributes to oil loss and high free fatty acids (FFA), affecting crude palm oil quality. Fruit detachment induced by ethephon and ethylene may mitigate the current processing issues. This study shows that a 0.50% (v/v) ethephon application by the evaporation method induced the highest fruit detachment of 30.8 ± 1.1% after 24 h at room temperature, with the FFA content in the extracted crude palm oil at 0.34 ± 0.09%. Ethephon application was effective on bunches between 14 and 28 kg, and fruit detachment was higher in ripe and underripe bunches at 24.1 ± 0.9% and 23.2 ± 0.1%, respectively. A significant fruit detachment of 47.2 ± 2.4% was achieved when the bunches were also stripped mechanically, but the FFA content increased almost 4-fold, from 1.0 ± 0.2% to 3.8 ± 1.2%. The application of ethylene gas at 750 ppm yielded 29.4 ± 1.9% fruit detachment. The findings present the possibility of using ethylene as an indirect method for minimizing oil loss without increasing the FFA content in future crude palm oil production systems.

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