Time dependent berry maturation for planting density levels in Coffea arabica L. beans: Mixture design-fingerprinting using near-infrared transmittance spectroscopy

Silva, Fabiano Bueno; Tormena, Cláudia Domiciano; Pauli, Elis Daiane; Almeida, Andressa Gomes de; Berg, Ana Beatriz Coronado; Rakocevic, Miroslava; Bruns, Roy E.; Scarmínio, Ieda Spacino; Marcheafave, Gustavo Galo

doi:10.1016/j.jfca.2020.103795

Cited by 8 publications

(3 citation statements)

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“…In our experiment, the berries were collected when they were visually mature in all plants, excluding maturity as chemical composition factor. Later berry harvest performed in the same year can increase LIP and reducing sugar and decrease CAF contents [63], but maturity states of red berries do not show differences in organic acids, free fatty acids, lipids, total chlorogenic acids, proteins, alkaloids, or sucrose [54]. Catuaí 99 is seen as a highly productive cultivar, of high bean quality for the final coffee cup [42], but here it showed elevated PRO, CAF, TCA, and PC contents, generally associated with lower cup quality [22].…”

Section: Discussionmentioning

confidence: 99%

Variation in Yield, Berry Distribution and Chemical Attributes of Coffea arabica Beans among the Canopy Strata of Four Genotypes Cultivated under Contrasted Water Regimes

et al. 2023

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Water availability, light, management practices, and harvest time impacts on Coffea arabica L. yield and bean quality remain uncertain. It was hypothesized that the soil water and light availability could impact berry distribution, yield, and bean chemical attributes within the plant canopy. Therefore, it was aimed to study berry yield, berry distribution, and bean chemical traits along the canopy strata of four coffee genotypes (Iapar 59, Catuaí 99 and two Ethiopian wild accessions, ‘E083′ and ‘E027′), cultivated with (IRR) and without irrigation (NI) in the two initial harvest years. The maximum height of berry occurrence was lower in NI than in IRR plants in both harvest years. In the 2nd harvest year, higher leaf-to-fruit ratio was found under NI than under IRR for all genotypes, except for Catuaí 99, while the most regular berry distribution among canopy strata was obtained in IRR ‘E083′, the highest bean yield in IRR ‘E083′ and Iapar 59, and the highest percent of useful bean biomass in NI Catuaí 99. The reduced lipid content under IRR was more important in the 1st (all genotypes) than in the 2nd harvest year (Iapar 59 and ‘E027′). As a novelty, chemical bean composition was additionally impacted by light availability along the canopy strata. Proteins declined from bottom (shaded) to upper (highly light exposed) strata, regardless of genotype and harvest year. Similar stratification was observed in caffeine in the 2nd year. Although some traits were somewhat changed among strata, no substantial quality changes occurred, thus allowing that harvest might include the entire plant and not only some specific strata. Iapar 59 and ‘E083′ showed chemical composition usually associated with high bean quality, with the highest lipid, sucrose, and soluble sugar contents, and the lowest caffeine, chlorogenic acids, and phenolic components among four genotypes, but Iapar 59 plants were less affected in their yield under NI. Based on additional responses from space occupation and yield only under IRR, the wild accession ‘E083′ must be considered in future breeding programs as promising material for intensive input conditions. High bean quality and the less variated yield under lower soil water availability qualified the Iapar 59 as the most prominent among the four genotypes.

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Section: Discussionmentioning

confidence: 99%

Variation in Yield, Berry Distribution and Chemical Attributes of Coffea arabica Beans among the Canopy Strata of Four Genotypes Cultivated under Contrasted Water Regimes

et al. 2023

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“…Data sets of mixture design–fingerprints, using different solvents in the extraction, have been analyzed simultaneously with PCA, common dimensions analysis (ComDim), exploratory factor analysis (EFA), and partial least-squares-discriminant analysis (PLS-DA), among others, as a procedure to maximize the range of metabolites analyzed simultaneously in mathematical modeling. This procedure has been successfully applied for various plant materials, such as Coffea arabica leaves and beans, , yerba mate leaves, Rollinia mucosa leaves, Mikania laevigata leaves, and several other plant species.…”

Section: Introductionmentioning

confidence: 99%

¹H NMR Mixture Design–Fingerprints and ASCA Analysis in Ilex paraguariensis: Model Stability in Search of a Global Metabolome

Marcheafave,

Pauli,

Tormena

et al. 2023

Anal. Chem.

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The effects of experimental repetitions and solvent extractors on the 1H NMR fingerprinting of yerba mate extracts, obtained from two genders and two light environments, were analyzed in-depth by ANOVA–simultaneous component analysis (ASCA). Different solvents were used according to a mixture design based on ethanol, dichloromethane, and hexane and their combinations. The number of experimental repetitions significantly affected the ASCA results. Increasing repetitions led to decreases in the percentage effect variance values and an increase in the percentage residual variance. However, secondary sexual dimorphism, light availability, and their interaction effects became more significant with decreasing p-values at or above the 95% confidence level. The choice of a solvent extractor significantly affects the chemical profile and can lead to distinct conclusions regarding the significance of effect values. Pure solvents yielded different conclusions about the significance of factorial design effects, with each solvent extracting unique metabolites and maximizing information for specific effects. However, the use of binary solvent mixtures, such as ethanol–dichloromethane, proved more efficient in extracting sets of compounds that simultaneously differentiate between different experimental conditions. The mixture design–fingerprint strategy provided satisfactory results expanding the range of extracted metabolites with high percentage of residual variances and low explained percentage effect variances in the ASCA models. Ternary and even higher-ordered mixtures could be good alternative extracting media for work-intensive procedures. Our study underscores the significance of experimental design and solvent selection in metabolomic analysis, improving the accuracy, robustness, and interpretability of metabolomic models, leading to a better understanding of the chemical composition and biological implications of plant extracts.

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“…It can be used to determine various components of the green bean, such as the total lipid content, the composition of fatty acids present in the lipid fraction and the content of tocopherols [ 18 ], as well as the protein content [ 19 ] and its relationship with bean origin [ 20 , 21 ] and coffee quality [ 22 ]. Furthermore, Baptista et al [ 23 ] and Correia et al [ 24 ] used NIR technology to differentiate the quality of coffee grown in association with different agroforestry species, while Silva et al [ 25 ] reported the feasibility of NIR transmittance spectra for determining the planting density of coffee trees and the maturity level of cherries.…”

Section: Introductionmentioning

confidence: 99%

Chemical analysis and NIR spectroscopy in the determination of the origin, variety and roast time of Mexican coffee

Guerrero-Peña¹,

Vázquez-Hernández²,

Bucio-Galindo³

et al. 2023

Heliyon

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Time dependent berry maturation for planting density levels in Coffea arabica L. beans: Mixture design-fingerprinting using near-infrared transmittance spectroscopy

Cited by 8 publications

References 46 publications

Variation in Yield, Berry Distribution and Chemical Attributes of Coffea arabica Beans among the Canopy Strata of Four Genotypes Cultivated under Contrasted Water Regimes

Variation in Yield, Berry Distribution and Chemical Attributes of Coffea arabica Beans among the Canopy Strata of Four Genotypes Cultivated under Contrasted Water Regimes

¹H NMR Mixture Design–Fingerprints and ASCA Analysis in Ilex paraguariensis: Model Stability in Search of a Global Metabolome

Chemical analysis and NIR spectroscopy in the determination of the origin, variety and roast time of Mexican coffee

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Time dependent berry maturation for planting density levels in Coffea arabica L. beans: Mixture design-fingerprinting using near-infrared transmittance spectroscopy

Cited by 8 publications

References 46 publications

Variation in Yield, Berry Distribution and Chemical Attributes of Coffea arabica Beans among the Canopy Strata of Four Genotypes Cultivated under Contrasted Water Regimes

Variation in Yield, Berry Distribution and Chemical Attributes of Coffea arabica Beans among the Canopy Strata of Four Genotypes Cultivated under Contrasted Water Regimes

1H NMR Mixture Design–Fingerprints and ASCA Analysis in Ilex paraguariensis: Model Stability in Search of a Global Metabolome

Chemical analysis and NIR spectroscopy in the determination of the origin, variety and roast time of Mexican coffee

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Product

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¹H NMR Mixture Design–Fingerprints and ASCA Analysis in Ilex paraguariensis: Model Stability in Search of a Global Metabolome