Jatropha curcas: an overview

Abobatta, Waleed Fouad

doi:10.24297/jaa.v10i0.8145

Cited by 20 publications

(16 citation statements)

References 18 publications

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“…Tissue culture is limited to research work. There are two times for transplanting the seedlings of Jatropha into the field, March and October (Heller, 1996;Abobatta, 2019). Field preparation requires a cubic pit with a side length of about 0.5 m. The spacing between these pits can be 2.5 m (between pits in the same row) and 2.5 m (between parallel rows of pits).…”

Section: Jatropha Tree and Fruitmentioning

confidence: 99%

“…Jatropha trees may also bear fruits continuously from the middle of the summer to near the end of the fall (autumn). Reported total yield of seeds from mature trees ranged from 84 kg to 5,040 kg per feddan, depending on the environment and genotype (Tomar et al, 2014;Nahar and Ozores Hampton, 2017;Abobatta, 2019). This can be an unfavorable concern when growing Jatropha commercially, which is the possible high variability of the plant produce.…”

Section: Jatropha Tree and Fruitmentioning

confidence: 99%

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<i>Jatropha Curcas</i> as Marginal Land Development Crop in the Sultanate of Oman for Producing Biodiesel, Biogas, Biobriquettes, Animal Feed, and Organic Fertilizer

Marzouk

2020

RAS

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The present article can be regarded as a compilation of various aspects related to the cultivation and utilization of Jatropha curcas in degraded lands, which may not be very suitable for other crops. The benefits of this plant are not limited to producing biodiesel, but expand to biogas and biobriquettes. So, all three phases of fuel (liquid, gas, solid) are possible outcomes from it. Aside from fuels, the byproduct seedcake resulting from pressing the seeds can be used as a good organic fertilizer that is comparable or even better than chicken manure. After detoxification, this seedcake can be valuable feed for livestock. Along with the positive expectations, the study is balanced by also addressing negative expectations when planting Jatropha curcas for commercial applications. A seeds sample of this plant was successfully germinated in indoor condition, after applying the shell cracking pre-treatment. Special attention is paid to the Sultanate of Oman as a country whose geographic location and vast desert lands may encourage large-scale investment in Jatropha curcas for boosting and diversifying the economy.

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Section: Jatropha Tree and Fruitmentioning

confidence: 99%

Section: Jatropha Tree and Fruitmentioning

confidence: 99%

<i>Jatropha Curcas</i> as Marginal Land Development Crop in the Sultanate of Oman for Producing Biodiesel, Biogas, Biobriquettes, Animal Feed, and Organic Fertilizer

Marzouk

2020

RAS

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“…Jatropha is famous as a multifunction plant. It has been used in traditional medicine for a long time and decrease soil degradation in dry land regions [1]. Jatropha leaves extract have potency in influenza virus protein inhibition; therefore, a broad spectrum of anti-influenza medicine can be developed from Jatropha leaves [2].…”

Section: Introductionmentioning

confidence: 99%

Genotype by yield*trait biplot analysis to evaluate Jatropha curcas genotypes based on multiple traits

Purwati¹,

Anggraeni²,

Machfud³

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Jatropha hybridization conducted in ISFCRI has resulted in genotypes with various agronomic traits. The biplot analysis was used to evaluate the relationship between agronomic and yield trait, the genotype by trait (GT), and genotype by yield*trait (GYT). Ten genotypes were planted in Pasirian, Lumajang, East Java from 2018 to 2019. Ten parameters were observed namely: plant height, harvest time, number of branches per plant (primary, secondary and tertiary branches), inflorescence number per plant, fruit cluster number per plant, fruit number per plant, 100 seed weight, and seed weight per plant. Based on GT biplot and Pearson Correlation, there was a strong positive correlation between yield and plant height, tertiary branch, fruit cluster, inflorescence number, and seed weight. The GYT biplot showed that genotype No. 6 had the best performance in combining yield and primary branch, secondary branch, and inflorescent number. The genotype No. 10 had the largest values in combining yield with the seven other traits. In this study, the GYT biplot approach can be used to identify the best genotypes in correlation between yield with other traits. Therefore, this approach can be applied to overcome the problem of genotypes selection based on several traits, in the Jatropha breeding program.

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“…Jatropha curcas is a versatile plant that is often used as a wound medicine, and its leaves are used for drinking against malaria. Then these plants can also be used to prevent erosion, control soil degradation, and increase soil fertility [1]. In recent years, Jatropha curcas has been quite popular because of its function as a potential source of vegetable oil as a substitute for petroleum and, in particular, biodiesel production [2].…”

Section: Introductionmentioning

confidence: 99%

Jatropha Curcas Disease Identification using Random Forest

Saragih

Wijayaningrum

Haekal

2021

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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As one of the most versatile plants, Jatropha curcas is spread in various regions around the world because of the great benefits it provides. However, Jatropha curcas is easily attacked by viruses which then cause damage to the plant, such as yellowing leaves and secreting sap, making it necessary to identify Jatropha curcas disease to deal with the problem as early as possible so that the losses incurred are not too large. An expert system was built to be able to identify Jatropha curcas disease by adopting expert knowledge. The use of the Random Forest algorithm as one of the classification algorithms was applied in this study. By using a random forest, several disease prediction classes are generated by each decision tree that has been formed. The disease class with the most votes was used as the final result. In this study, the data used were 166 data with 9 diseases and 30 symptoms. The results showed that Random Forest outperformed other algorithms such as Fuzzy Neural Network and Extreme Learning Machine with an accuracy of 98.002% using the composition of training data and test data of 70:30.

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Jatropha curcas: an overview

Cited by 20 publications

References 18 publications

<i>Jatropha Curcas</i> as Marginal Land Development Crop in the Sultanate of Oman for Producing Biodiesel, Biogas, Biobriquettes, Animal Feed, and Organic Fertilizer

<i>Jatropha Curcas</i> as Marginal Land Development Crop in the Sultanate of Oman for Producing Biodiesel, Biogas, Biobriquettes, Animal Feed, and Organic Fertilizer

Genotype by yield*trait biplot analysis to evaluate Jatropha curcas genotypes based on multiple traits

Jatropha Curcas Disease Identification using Random Forest

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