Variability of growth and oil characteristics of Jatropha curcas L. in North-east India

Borah, Nilakshi; Mapelli, S.; Pecchia, Paola; Mudoi, Kalpataru Dutta; Chaliha, Bithika; Gogoi, Ankita; Doley, Anjali; Kotoky, Rumi; Saikia, Siddhartha Proteem

doi:10.1080/17597269.2018.1472979

Cited by 9 publications

(8 citation statements)

References 46 publications

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“…Thus, SWP is the main determinant in the variation of PFP and evidences the cause and effect relationship between these traits, i.e., the higher the fruit production is, and the higher the seed production is. The identification of traits that have high phenotypic correlation and high direct effect in the same direction on the main trait is desirable, since the correlated response by means of indirect selection can be effective [29]. The selection of genotypes with higher fruit and seed production aiming to increase oil or protein yield is a promising strategy because of the cause and effect relationship between these traits, as evidenced in this study.…”

Section: Environmental Conditions and Phenotypic Traitsmentioning

confidence: 87%

Genetic Diversity in Jatropha platyphylla Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers

Salazar-Villa¹,

Alcaraz-Meléndez²,

León‐Félix³

et al. 2021

AJPS

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Section: Environmental Conditions and Phenotypic Traitsmentioning

confidence: 87%

Genetic Diversity in Jatropha platyphylla Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers

Salazar-Villa¹,

Alcaraz-Meléndez²,

León‐Félix³

et al. 2021

AJPS

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“…In this study, the replication of the seed surface microstructures was first demonstrated using a two-step process involving the simplification of the seed surface patterns and their replication by nanoimprint lithography (NIL) 21 – 24 . We used Allium L. seeds as our model system, collected from Mongolia and Central Asian countries, such as Kyrgyzstan and Uzbekistan, which are well known for their dry and mostly desert environments.…”

Section: Introductionmentioning

confidence: 99%

Micro-replication platform for studying the structural effect of seed surfaces on wetting properties

Shin

Choi

Baasanmunkh

et al. 2022

Sci Rep

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Biological surfaces in plants are critical for controlling essential functions such as wettability, adhesion, and light management, which are linked to their adaptation, survival, and reproduction. Biomimetically patterned surfaces replicating the microstructures of plant surfaces have become an emerging tool for understanding plant–environment interactions. In this study, we developed a two-step micro-replication platform to mimic the microstructure of seed surfaces and demonstrated that this initial platform can be used to study seed surface–environment interactions. The two-step process involved the extraction of a simplified seed surface model from real seeds and micro-replication of the simplified seed surface model using nanoimprint lithography. Using Allium seeds collected from Mongolia and Central Asia as the model system, we studied the wettability of biological and synthetic seed surfaces. We could independently control the material properties of a synthetic seed surface while maintaining the microstructures and, thereby, provide clear evidence that Allium seed surfaces were highly wettable owing to the high surface energy in the epidermal material rather than a microstructural effect. We expect that this platform can facilitate study of the independent effect of microstructure on the interaction of seed surfaces with their surroundings and contribute to research on the evolution of plant–environment interactions.

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“…The physic nut, a species of family Euphorbiaceae, is used in the production of bioenergy due to the high quality of its oil, which contains high levels of fatty acids and is of low viscosity (ALBURQUERQUE et al, 2017). In addition, it adapts easily and displays good agronomic performance under differing agroclimatic conditions (BORAH et al, 2018), including semiarid regions. Furthermore, it does not compete with species that produce traditional edible and nutritional oils (WASSNER et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…O pinhão-manso, espécie da família Euphorbiaceae, é usado na produção de bioenergia por apresentar alta qualidade de óleo, contendo elevados teores de ácidos graxos e baixa viscosidade (ALBURQUERQUE et al, 2017). Ademais, apresenta bom desempenho adaptativo e agronômico em diferentes condições agroclimáticas (BORAH et al, 2018), incluindo áreas de semiaridez, além de não competir com as espécies produtoras de óleos comestíveis e alimentícias tradicionais (WASSNER et al, 2016).…”

Section: Introductionunclassified

Genetic variability and genetic progress in seed traits in breeding the physic nut

Leitão¹,

Araújo²,

Mesquita³

et al. 2021

AGRO@MBIENTE ON-LINE

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Determining the chemical composition of seeds of the physic nut (Jatropha curcas L.) is of great importance for the species due to the oil content of the seeds (the principal trait of interest). Identifying promising genotypes with selectable seed traits is one of the strategies adopted in breeding the physic nut in order to increase the yield and quality of the oil. Therefore, the aim of this study was to determine the chemical composition of seed traits in ten half-sibling progeny of the physic nut, and to identify which progeny have good genetic performance for transmission to the offspring. The experimental design was completely randomised, with ten treatments and four replications. The treatments were represented by seeds from half-sibling progeny in which the carbohydrate, protein and lipid content, and the composition of the fatty acids were evaluated. The genetic parameters and the gains from their selection were predicted for the principal seed traits using mixed-model analysis, including REML (restricted maximum likelihood) and BLUP (best linear unbiased prediction). The physic-nut seeds showed an average dry matter (DM) concentration of 60 mg g-1 carbohydrates, 42 mg g-1 protein and 142 mg g-1 total lipids. Unsaturated fatty acids represented more than 85% of the total fatty acid composition, with the oil classified as oleic-linoleic. Considering the predictions of the genetic parameters, the lipid traits can be selected for the purpose of breeding, resulting in genetic progress in the yield and quality of physic-nut oil.

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Variability of growth and oil characteristics of Jatropha curcas L. in North-east India

Cited by 9 publications

References 46 publications

Genetic Diversity in <i>Jatropha platyphylla</i> Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers

Genetic Diversity in <i>Jatropha platyphylla</i> Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers

Micro-replication platform for studying the structural effect of seed surfaces on wetting properties

Genetic variability and genetic progress in seed traits in breeding the physic nut

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Variability of growth and oil characteristics of Jatropha curcas L. in North-east India

Cited by 9 publications

References 46 publications

Genetic Diversity in &lt;i&gt;Jatropha platyphylla&lt;/i&gt; Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers

Genetic Diversity in &lt;i&gt;Jatropha platyphylla&lt;/i&gt; Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers

Micro-replication platform for studying the structural effect of seed surfaces on wetting properties

Genetic variability and genetic progress in seed traits in breeding the physic nut

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Product

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Genetic Diversity in <i>Jatropha platyphylla</i> Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers

Genetic Diversity in <i>Jatropha platyphylla</i> Accessions Based on Morphological Traits and Inter-Simple Sequence Repeats Molecular Markers