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Abstract Chili peppers are a staple food for countries worldwide and are loaded with vitamins and antioxidants. One of the world’s largest chili consumers, Indonesia faces climate adversities and cash-crop pest infestations that affect its horticulture market. The present research explores microclimatic and watering for physiological performances in different chili cultivars, useful in suggesting the strategies of cultivation with a climate-resilient perception. The research was done in the Bale Tatanen, Padjadjaran University, using a Factorial Randomized Complete Block Design to analyze chili plant physiology. According to statistical analyses, cultivars did not significantly affect absolute growth rate (AGR), but growing microclimates and watering volumes did significantly affect AGR and water use efficiency (WUE). The rain shelter and screen house had the highest WUE and AGR values. Growing microclimates and cultivars significantly affected transpiration rate, stomatal conductance to water vapor and total conductance to CO2, with the screen house exhibiting the highest values. All three factors significantly affected the photosynthetic rate, with the greenhouse showing the highest rate. The photosynthetic photon flux density (PPFD) was likewise highest in the greenhouse. This study aimed to systematically assess these factors and it tried suggesting practices that might assist in combating the effects of abiotic stress on chili production, for its sustainability. The findings of this research would help in conceptualizing the most efficient microclimate and watering volume for chili cultivation particularly, when considering climate change challenges as well; these results could also be applied to develop guidelines which might serve helpful at resource-poor farming.

Development of G0 potato seeds in medium altitude with high temperatures has been constrained high temperatures, which inhibited plant growth and development, especially for tuber formation. The production of G0 potato seeds in the high-temperature area can be increased by the application of nitrogen (N) fertilizer and paclobutrazol (PBZ). The study aimed to identify the effect of different doses of N-fertilizer and the frequency of PBZ application on the plant growth and yield of first-generation potato seeds (G0) in medium land. The Randomized Complete Block Design with two factors was used in this experiment. The first factor was the dose of N-fertilizer (n 1 = 60, n 2 = 120, and n 3 = 180 kg/ha) and the second factor was the frequency of PBZ application (p 1 = 1, p 2 = 2, and p 3 = 3 times), applied starting at 40 DAP and repeated every 10 days with a concentration of 100 ppm. The results showed that there was a significant interaction between the dose of N-fertilizer and the frequency of PBZ application on plant dry weight. The 120 kg/ha of N-fertilizer-treated plants exhibited the highest plant height and the number of stolons per plant, whereas three times PBZ application treated plant exhibited the higher tuber growth rate, the number, and weight of tuber per plant with the value of number and weight of tuber per plant of 9.26 and 83.97 g, respectively. It can be concluded that N-fertilizer increased plant growth, whereas PBZ increased G0 potato seeds in the medium land altitude with high temperature.

Abstract Background As identified by the research, it is imperative to develop effective ways to address the pressing problem of disease and pest susceptibility in chili agriculture and secure sustainable crop yield. The research examines the impact of various growing microclimates, watering regimens, and chili cultivars on disease incidence, pest attacks, and yield loss. Results The study, which took place over a season, used a randomized complete block design to evaluate how well Tanjung, Unpad, and Osaka cultivars performed in four different watering regimens (100, 75, 50, and 25% ETc) and different microclimates (greenhouse, rain shelter, screen house, and open field). The findings exhibited that watering regimens and microclimates greatly influenced disease and pest occurrence, but cultivars had a minimal effect on these variables. Disease and pest attack rates were highest in the open field and lowest in the screen house. A correlation was found between lower disease and pest incidence and optimal irrigation levels (75% and 100% ETc). At lower watering regimens of 25% ETc and in the open field, yield loss was the greatest. Conclusion The results emphasize how crucial controlled environments and appropriate irrigation techniques are to reducing crop loss and increasing production. Enhancing watering regimens and implementing screen house cultivation are two strategies for improving the productivity and sustainability of chili output.

1-Methylcyclopropene (1-MCP) and Ascorbic Acid (AsA) inhibit the ethylene effect in horticultural products. Mostly 1-MCP and AsA are used as individual treatments to extend the fruit shelf life and maintain the quality of horticultural products. In this study, we elucidate the influences of the combination effect of 1-MCP and AsA on the postharvest fruit shelf life and quality of tomato. 1-MCP at 0, 1, and 2 μL L−1 combined with AsA at 0, 2, and 4 % was treated to Br + 4 of tomato fruit. The postharvest fruit quality and shelf life were evaluated during 21 d of postharvest storage. The result showed that a combination of 1-MCP 2 μL L−1 + AsA 4 % significantly improved tomato fruit shelf-life by 6 d longer than control (untreated fruits), whereas the individual treatment of 1-MCP improved only 4 d longer than control, also improved fruit firmness 37.01 % harder than control, and reducing fruit loss 10.37 % lower than control at 21 d of storage. In the nutritional parameeters, it affects in the reducing the total sugars 20.97 %, lycopene 23.45 %, β-carotene 25.32 % lower than control, but did not affect on the change of total polyphenol and flavonoid. These results indicate that the effectiveness of 1-MCP in improving tomato fruit shelf-life was enhanced by its combination with AsA, which will be useful for practical application in postharvest handling.

Marigold flowers, which are also known as Tagetes erecta L., are widely recognized for their bright colors and health benefits. Therefore, the purpose of this research was to investigate the quality of total carotenoid content (TCC) and quercetin in marigold flowers, specifically the edible ones, using visible near-infrared spectroscopy (Vis-NIRS) technology. Both bioactive compounds in these flowers were assessed using Vis-NIRS. The technology is considered to be a rapid and non-destructive method for evaluating the quality of agricultural products. To ensure accuracy in the evaluation, Vis-NIRS was validated against conventional methods such as spectrophotometry and chromatography. The results showed that the use of Vis-NIRS helped to accurately determine the levels of TCC and quercetin in marigold flowers. Based on the analysis results, the best accuracy values for TCC were as follows: the correlation coefficient of the calibration set (Rcal) was 0.94, the root mean square error of the calibration set (RMSEC) was 125.57, the correlation coefficient of the prediction set (Rpred) was 0.87, the root mean square error of the prediction set (RMSEP) was 129.35, and the ratio of prediction to deviation (RPD) was 2.77. For quercetin, the best accuracy values were: Rcal was 0.96, RMSEC was 1.63, Rpred was 0.88, RMSEP was 2.37, and RPD was 2.09. These results demonstrate that the method provides a reliable alternative to destructive method. The research showed that Vis-NIRS served as a reliable quality assurance tool for assessing bioactive compounds in marigold flowers.

This study aimed to explore the use of advanced spectroscopy technology, visible and near-infrared spectroscopy (Vis-NIRS) for the analysis of gotu kola (Centella asiatica L.) plant quality. Vis-NIRS was used to predict water content, total phenolic content (TPC), total flavonoid content (TFC), and asiaticoside in gotu kola. This analysis was carried out to overcome the limitations of conventional methods that are time-consuming and require a long laboratory process. Data were analyzed using chemometric analysis, which comprised partial least squares regression (PLSR) and principal component regression (PCR). The results showed that Vis-NIRS could predict the four quality parameters with a high accuracy level. The accuracy values of water content parameters were: the coefficient of correlation in the calibration (Rcal) was 0.96, the coefficient of correlation for cross-validation (Rcv) was 0.94, and the ratio of prediction to deviation (RPD) was 3.10. For TPC, the values were Rcal (0.96), Rcv (0.95), and RPD (3.04). Furthermore, TFC showed Rcal (0.98), Rcv (0.97), and RPD (4.83). Asiaticoside obtained values of Rcal (0.92), root mean square error of the calibration (RMSEC) (78.23), Rcv (0.88), and RPD (2.14). This study offers insights into opportunities for commercial applications of Vis-NIRS in monitoring the gotu kola quality, which can ultimately increase production efficiency and ensure better product quality.

The primary challenge encountered by marketers of green chili peppers is the rapid post-harvest deterioration. The application of pre- and post-harvest moringa leaf extract (MLE) is an effective approach to preserving the quality of fruits after being harvested. This study aimed to assess the effect of MLE application at pre- and post-harvest periods on physical and chemical properties of green chili during storage. For this purpose, a completely randomized design was arranged with nine replications. Pre-harvest MLE (seed soaking + foliar spraying with MLE) treatment showed a similar response to the control. Meanwhile, post-harvest MLE application on fruit by dipping method had better results on L*, a*, weight loss, firmness, and vitamin C after 7 d of storage compared to the control. These results suggested that post-harvest MLE application was more effective in prolonging the self-life of green chili, particularly in maintaining the physical attributes.

ABSTRACT The physicochemical and antioxidant qualities of cherry tomatoes are getting more and more valued, and this has a significant effect on consumer choices and market dynamics. With irrigation schedules of 100%, 75%, and 50% field capacity, Ruby and Fortesa cultivars were grown in a greenhouse, rain shelter, and screen house climates in this experiment, which used a Randomized Complete Block Design (RCBD) factorial technique. The chroma value, flavonoid content, phenolic content, vitamin C content, and antioxidant activity of cherry tomatoes are the main quality parameters investigated in this study, along with the effects of cultivars, growing climates, and watering regimens. According to the results, the cultivar significantly affected chroma value, with Fortesa showing the highest value. Cultivar and growing climate significantly affected flavonoid content, with Fortesa and rain shelter environments exhibiting the most significant values. Cultivar and growing climate significantly impacted vitamin C content; ruby and greenhouse conditions produced the maximum amounts. Across all parameters, there were significant variances in antioxidant activity; Ruby showed the maximum activity, and the rain shelter provided the ideal growing environment. The market analysis conducted for the study reveals that higher‐quality cherry tomatoes are famous among upscale and health‐conscious consumers due to their high flavonoid and phenolic content, brilliant chroma value, and considerable antioxidant activity. With the help of this research, targeted cultivation techniques and marketing strategies may be created to cater to specific consumer desires and maximize market positioning and profitability.

Abstract Background The study offers insightful information about the adaptability of local and imported Chili cultivars. This experiment examines how three different chili cultivars Tanjung, Unpad, and Osaka perform in the germination and early growth phases while considering a wide range of environmental conditions. Research conducted in Jatinangor, Sumedang Regency, Indonesia, highlights the differences between cultivars and the varied possibilities for adaptability each variation possesses. Results Among them, Tanjung stands out as the most promising cultivar; its robust performance is demonstrated by its high germination index 91.7. Notable features of Osaka include the highest biomass output (1.429 g), the best water usage efficiency (WUE) at 0.015 g/liter, and the best distribution uniformity (91.2%) and application efficiency (73.6%) under different irrigation conditions. Tanjung’s competitiveness is further evidenced by the fact that it trails Osaka closely on several metrics. Lower performance across criteria for Unpad suggests possible issues with flexibility. Conclusion The value of this information becomes apparent when it comes to well-informed breeding programs and cultivation techniques, especially considering uncertain climate patterns and global climate change. This research contributes significantly to the body of knowledge, enabling well-informed choices for environmentally dynamic, sustainable chili farming.

This study delves into the ability of near infrared (NIR) techniques by means of a self-developed portable sensing device near-infrared reflectance spectroscopy (NIRS) i16 USK instrument to accurately predict the moisture content (MC) and chlorogenic acid (CGA) within intact coffee beans through the development of calibration models. Spectral absorbance measurements were conducted across the 1,000‒2,500 nm wavelength range. Leveraging two multivariate calibration approaches namely principal component regression and partial least square regression (PLSR) for 74 bulk coffee beans (60 g) in calibration and 36 bulk coffee beans samples in external validation. The results reveal a notably high determination coefficient (R 2) of 0.984 for MC and 0.908 for CGA in calibration using PLSR, indicating the feasibility of rapid, simultaneous, and non-destructive prediction. Furthermore, upon external validation, the PLSR model exhibited consistent predictive performance, with R 2 values for MC and CGA contents reaching 0.978 and 0.846, respectively. Consequently, these outcomes underscore NIR as an effective, concurrent, and non-invasive means to assess the quality parameters and attributes of intact coffee beans, presenting promising prospects for the advancement of coffee quality evaluation.

Indonesia is a significant producer of shallots, and the country frequently cultivates three distinct varieties: Bima, Trisula, and Sumenep. Each cultivar exhibits distinct characteristics, specifically when grown under suboptimal conditions. Several studies showed that insufficient watering intervals (WIs) can lead to drought stress, while excessive levels often lead to inundation. To investigate the effects of cultivar and WI on shallot growth and quality, this study employed a split-plot design with main plots and subplots with four repetitions. The main plots consisted of cultivars (Bima, Trisula, and Sumenep), while the subplots comprised WIs (once in 1 day, 2 days, and 3 days). The results showed that there was an effect of interaction between cultivars and WIs on growth (proline [126.15 mg 100 g−1]) and quality (quercetin [3.8739 mg g−1], rutin [0.2080 mg g−1], and kaempferol [1.209 mg g−1]). However, there was no effect on the number of tillers, shoot/root ratio, water content, number of tubers, tuber weight, and total flavonoid.

The production of 'Ratuni UNPAD' cayenne pepper can be increased using organic chicken manure. However, the application of ethephon is needed during fertilization due to the significantly slow flower initiation. Therefore, this study aims to determine the interaction between chicken manure and ethephon on the growth, yield, and quality of the 'Ratuni UNPAD' cayenne pepper. Planting is carried out 829 meters above sea level (masl), and a factorial randomized block experimental design comprises 2 factors with 3 replications. The first factor is the dose of chicken manure (10, 20, 30, and 40 t/ha), while the second is the ethephon concentration (0, 500, 1000, and 1500 ppm). The results showed no interaction between poultry manure and ethephon on the growth, yield, and quality of the 'Ratuni UNPAD' cayenne pepper. According to the doses of chicken manure, 40 t/ha significantly affects the flower initiation, fruit number, weight, length, and diameter, as well as capsaicin and dihydrocapsaicin. The 30 t/ha shows the highest value for the number of leaves and productive branches, while 20 tons dose/ha influences flavonoids, phenolics, and total carotenoids. The ethephon concentration of 1500 ppm significantly affects the flower initiation, fruit length, diameter, capsaicin, and dihydrocapsaicin.

Indonesian stingless bee honey (SBH) of Geniotrigona thoracica is popular and traded at an expensive price. Brown rice syrup (RS) is frequently used as a cheap adulterant for an economically motivated adulteration (EMA) in SBH. In this study, authentic Indonesian Geniotrigona thoracica SBH of Acacia mangium (n = 100), adulterated SBH (n = 120), fake SBH (n = 100), and RS (n = 200) were prepared. In short, 2 mL of each sample was dropped directly into an innovative sample holder without any sample preparation including no dilution. Fluorescence intensity was acquired using a fluorescence spectrometer. This portable instrument is equipped with a 365 nm LED lamp as the fixed excitation source. Principal component analysis (PCA) was calculated for the smoothed spectral data. The results showed that the authentic SBH and non-SBH (adulterated SBH, fake SBH, and RS) samples could be well separated using the smoothed spectral data. The cumulative percentage variance of the first two PCs, 98.4749% and 98.4425%, was obtained for calibration and validation, respectively. The highest prediction accuracy was 99.5% and was obtained using principal component analysis–linear discriminant analysis (PCA-LDA). The best partial least square (PLS) calibration was obtained using the combined interval with R2cal = 0.898 and R2val = 0.874 for calibration and validation, respectively. In the prediction, the developed model could predict the adulteration level in the adulterated honey samples with an acceptable ratio of prediction to deviation (RPD) = 2.282, and range error ratio (RER) = 6.612.

The primary objective of this research was to utilise near-infrared reflectance spectroscopy as a swift, non-destructive method for identifying chlorogenic acid in whole coffee beans. Additionally, this investigation explored the efficacy of different spectral improvement techniques alongside partial least square regression to construct predictive models. NIR spectral data was gleaned from whole coffee beans spanning a wavelength range of 1000–2500 nm, while the chlorogenic acid content was ascertained via high-performance liquid chromatography procedures. Our findings revealed that the highest coefficient of determination reached for chlorogenic acid was 0.97, and the root mean square error for calibration was 0.31% when using the multiplicative scatter correction method. Furthermore, upon testing the model using an external validation dataset, a determination coefficient of 0.91 and a ratio error to range index of 11.56 with a root mean square prediction error at 0.51% was attained. From these results, it can be inferred that the near-infrared technology, coupled with an effective spectral enhancement process, can facilitate quick, non-invasive determination of chlorogenic acid in whole coffee beans.

Abstract This systematic review addresses the difficulties of cultivating under variable environmental conditions and explores the growing importance of chili peppers (Capsicum annum L.) in worldwide agriculture. It emphasizes the use of enclosed growing systems as a workable way to increase crop yields of chilies. The needs of various chilies in these systems highlighting the significance of sustainability and resource efficiency for the best possible yield, quality, and financial sustainability. Shading is a crucial tactic to mitigate the adverse effects of sunlight and high temperatures, supporting healthier plants and regular fruit development. The study also looks into greenhouse cultivation to shelter plants from the weather and achieve higher yields, better development rates, and better‐quality fruit. This thorough analysis fills a research gap, offers helpful recommendations for maximizing production, and is an invaluable tool for practitioners and scholars studying enclosed chili agriculture.

The purpose of this study was to predict the total phenolic content (TPC) and total flavonoid content (TFC) in several horticultural commodities using near-infrared spectroscopy (NIRS) combined with machine learning. Although models are typically developed for a single product, expanding the coverage of the model can improve efficiency. In this study, 700 samples were used, including varieties of shallot, cayenne pepper, and red chili. The results showed that the TPC model developed yielded R 2cal, root mean squares error in the calibration set, R 2pred, root mean squares error in prediction set, and ratio of performance to deviation values of 0.79, 123.33, 0.78, 124.20, and 2.13, respectively. Meanwhile, the TFC model produced values of 0.71, 44.52, 0.72, 42.10, and 1.87, respectively. The wavelengths 912, 939, and 942 nm are closely related to phenolic compounds and flavonoids. The accuracy of the model in this study produced satisfactory results. Therefore, the application of NIRS and machine learning to horticultural products has a high potential of replacing conventional laboratory analysis TPC and TFC.

The possible application of a simple analytical method based on a UV (ultraviolet) spectral dataset coupled with SIMCA (soft independent modeling of class analogy) for authentication of Indonesian specialty ground roasted coffee with different botanical and geographical indications (GIs) was demonstrated. Three types of Indonesian specialty ground roasted coffee were used: GIs arabica coffee from Gayo Aceh (96 samples), GIs liberica coffee from Meranti-Riau (119 samples), and GIs robusta coffee from Lampung (150 samples) with 1 g weight of each sample. All samples were extracted using hot distilled water and 3 mL aqueous filtered samples were pipetted into a 10 mm quartz cell. Original UV spectral datasets were recorded in the range of 190–399 nm. The pre-processed spectral dataset was generated using three simultaneous different preprocessing techniques: moving average smoothing with 11 segments, standard normal variate (SNV), and Savitzky-Golay (SG) first derivative with window size and polynomial order value of 11 and 2. The supervised classification based on the SIMCA method was applied for preprocessed selected spectral data (250–399 nm). The PCA data showed that GIs coffee with different botanical and geographical indications can be well separated. The SIMCA classification was accepted with 100 % of correct classification (100 % CC). This dataset demonstrated the potential use of UV spectroscopy with chemometrics to perform simple and affordable authentication of Indonesian specialty ground roasted coffee with different botanical and geographical indications (GIs).

In recent decades, the development of non-destructive measurement methods for agricultural commodities has gained a lot of attention among scientists, but these techniques have different levels of accuracy for each instrument used. Therefore, this study aimed to compare the prediction accuracy of natural pigments, such as Total Carotenoid Content (TCC) and Total Flavonoid Content (TFC) using a color spectrophotometer and Visible/Near-Infrared (Vis/NIR) spectroscopy (381–1065 nm). The effect of ethephon concentration on the spectral characteristics and the accuracy of predicting pigments was studied. The samples used include cucumber fruit, which consisted of the 'Mars', 'Vanesa', and 'Roberto’ varieties. During the planting of the fruit, ethephon was applied at different concentrations of 0 ppm, 150 ppm, and 300 ppm. The results showed that the best accuracy for predicting TCC was obtained through a color spectrophotometer (Rcal = 0.89, Rpred = 0.90, RPD = 2.44), while the best prediction for TFC was the Vis/NIR spectroscopy (Rcal = 0.86, Rpred = 0.83, RPD = 1.78). Furthermore, the ethephon affects the spectral characteristics of cucumber fruit. Ethephon concentration of 150 ppm produced the highest accuracy value compared to others. This study proved that the use of non-destructive measurement methods with a color spectrophotometer and Vis/NIR spectroscopy has good performance in predicting TCC and TFC. The techniques are also easy to use, do not require chemicals, and have high accuracy.

Red chili is one of the important commodities with increasing demand. However, the quality, continuity of supply, and quantity have not been realized to meet domestic market demand. Increasing growth, yield, and quality can be pursued through superior varieties, and the effort to increase crop productivity is the application of various doses of potassium fertilizer. Therefore, this study aimed to determine the effect of various varieties and doses of potassium fertilizer on the growth, yield, and quality of red chili. The split-plot experimental design consisting of two factors was also used. The first factor is the variety, as the main plot consisting of UNPAD CB2, Tanjung 2, and Lingga. The second factor was the dose of potassium fertilizer as sub-plots which consisted of four levels, namely 0, 100, 200, and 300 kg/ha KCl. The results showed an interaction between variety and dose of potassium fertilizer on plant height at 8 weeks after planting (WAP), stem diameter at 8 WAP, and leaf area index at 9 WAP. Meanwhile, UNPAD CB2 showed the best results for 6 WAP plant height, fruit weight per plant, number of fruits per plant, fruit length, dihydrocapsaicin, total capsaicinoid, and scoville heat unit. Potassium fertilizer doses of 200 and 300 kg/ha KCl showed high yields for stem diameters of 6 WAP.

Telang flower kombucha besides playing an important role in the food sector as a probiotic drink, it has potential in the pharmaceutical (cosmetic) field, especially in the preparation of probiotic liquid bath soap in inhibiting the growth of Candida albicans which causes vaginal discharge in the female intimate organs. This study aims to make formulations and preparations of probiotic liquid bath soap with active ingredients from fermented kombucha telang flower solution at concentrations of 20%, 30%, and 40% in inhibiting the growth of Candida albicans. This research method is a laboratory experiment by making 4 preparations of probiotic liquid bath soap with active ingredients from fermented kombucha telang flower solution at concentrations of 20%, 30%, 40%, and soap base as a negative control and the use of biore soap available in the market as a positive control. Testing on the growth inhibition of Candida albicans using the disc diffusion method. Data analysis was carried out statistically using one-way ANOVA and further tests were carried out in the form of post hoc analysis. The conclusion in this study was that the concentration of 40% in the preparation of kombucha flower telang bath soap was the best concentration as antifungal Candida albicans with an average diameter of the resulting inhibition zone was 20.52 mm.

The development of the global model is an important part of research involving the quality prediction of agricultural commodities using visible/near-infrared (Vis/NIR) spectroscopy due to its efficiency and effectiveness. The Vis/NIR was used in this study to develop a global model and to evaluate the sugar content and pulp color, which are the main determinants of ripeness and quality of melons. Furthermore, it also provides a comparison between linear and nonlinear regression using partial least squares regression (PLSR) and support vector machine regression (SVMR), respectively. The model accuracy was determined by ratio of performance to deviation (RPD). The results showed that there were good model accuracy values in some parameters, such as SSC (2.14), glucose (1.59), sucrose (2.31), a* (2.97), and b* (2.49), while the fructose (1.35) and L* (1.06) modeling showed poor prediction accuracy. The best model for SSC was developed using PLSR, while that of fructose, glucose, sucrose, L*, a*, and b* were obtained from SVMR. Therefore, Vis/NIR spectroscopy can be used as an alternative method to monitor sugar content and pulp color of a melon, but with some limitations, such as the low accuracy in predicting certain variables, such as the L* and fructose.

Cabe rawit umumnya berwarna hijau, jingga dan merah. Tiap tingkat kematangan memiliki kualitas yang berbeda. Teknologi non-destruktif visible/near infrared spectroscopy (Vis/NIRS) telah banyak digunakan untuk memprediksi kualitas secara cepat dan akurat serta tidak merusak. Penelitian bertujuan untuk mengetahui kandungan kadar air, total karotenoid dan antioksidan dua varietas buah cabai rawit dengan tingkat kematangan berbeda dan memprediksi kualitas secara non-destruktif menggunakan Vis/NIRS. Penelitian dilakukan di Laboratorium Hortikultura, Fakultas Pertanian, Universitas Padjadjaran. Penelitian disusun dalam rancangan acak lengkap (RAL) dengan 6 perlakuan yaitu varietas ‘Manik’ dan ‘Domba’, yang dipanen pada 20 hari setelah bunga mekar (HSBM), 40 HSBM dan 60 HSBM, serta diulang 5 kali. Data dianalisis dengan analisis varians (ANOVA). Hasil penelitian menunjukkan bahwa varietas ‘Manik’ and ‘Domba’ yang dipanen pada 20 HSBM memiliki kandungan kadar air dan antioksidan tertinggi sedangkan total karotenoid meningkat pada buah matang. Model kalibrasi dan uji validasi silang kadar air, total karotenoid, dan antioksidan mendapatkan nilai Rkal ≥ 0,87 dan Rval ≥ 0,84. Berdasarkan hasil tersebut, maka kandungan air dan antioksidan terbesar yaitu buah cabai rawit hijau sedangkan total karotenoid tertinggi pada buah cabai rawit merah. Vis/NIRS dapat digunakan untuk mendeteksi kandungan air, total karotenoid dan antioksidan pada buah cabai rawit. Generally, cayenne pepper is coloring in green, orange, and red. Each maturity level has a different quality. A non-destructive technology, visible/near infrared spectroscopy (Vis/NIRS), has been widely used to predict the quality quickly and accurately without causing damage. The study aimed to determine water content, total carotenoids, and antioxidant of two varieties cayenne pepper with different maturity levels and to predict quality non-destructively using Vis/NIRS. The research was conducted at the Horticulture Laboratory, Agriculture Faculty, Universitas Padjadjaran. The research was arranged in a completely randomized design (CRD) with 6 treatments, namely ‘Manik’ and ‘Domba’ varieties harvested at 20 days after flowering (DAF), 40 DAF and 60 DAF, and 5 replications with analysis of variance (ANOVA). The results showed that ‘Manik’ and ‘Domba’ harvested at 20 DAF had the highest water content and antioxidant while the total carotenoids increased in ripe fruit. The calibration model and cross-validation of water content, total carotenoids, and antioxidants obtained values of Rcal 0.87 and Rval 0.84. Based on these results, the highest water and antioxidant content was green cayenne pepper, while the highest total carotenoids were in red cayenne pepper. Vis/NIRS can be used to detect water content, total carotenoids, and antioxidants in cayenne pepper.

Aceh is an important region for the production of high-quality Gayo arabica coffee in Indonesia. In this area, several coffee cherry processing methods are well implemented including the honey process (HP), wine process (WP), and natural process (NP). The most significant difference between the three coffee cherry processing methods is the fermentation process: HP is a process of pulped coffee bean fermentation, WP is coffee cherry fermentation, and NP is no fermentation. It is well known that the WP green coffee beans are better in quality and are sold at higher prices compared with the HP and NP green coffee beans. In this present study, we evaluated the utilization of fluorescence information to discriminate Gayo arabica green coffee beans from different cherry processing methods using portable fluorescence spectroscopy and chemometrics analysis. A total of 300 samples were used (n = 100 for HP, WP, and NP, respectively). Each sample consisted of three selected non-defective green coffee beans. Fluorescence spectral data from 348.5 nm to 866.5 nm were obtained by exciting the intact green coffee beans using a portable spectrometer equipped with four 365 nm LED lamps. The result showed that the fermented green coffee beans (HP and WP) were closely mapped and mostly clustered on the left side of PC1, with negative scores. The non-fermented (NP) green coffee beans were clustered mostly on the right of PC1 with positive scores. The results of the classification using partial least squares–discriminant analysis (PLS-DA), linear discriminant analysis (LDA), and principal component analysis–linear discriminant analysis (PCA-LDA) are acceptable, with an accuracy of more than 80% reported. The highest accuracy of prediction of 96.67% was obtained by using the PCA-LDA model. Our recent results show the potential application of portable fluorescence spectroscopy using LED lamps to classify and authenticate the Gayo arabica green coffee beans according to their different cherry processing methods. This innovative method is more affordable and could be easy to implement (in terms of both affordability and practicability) in the coffee industry in Indonesia.

One form of honey adulteration is label adulteration for some premium honey such as uniflora honey from the honeybee species Trigona sp. One of the analytical methods that are currently developing and have the potential to perform the classification of premium honey in Indonesia is the UV spectroscopy method. In this study, an investigation was carried out on the effect of dilution on the performance of UV spectroscopy in the process of classifying Indonesian honey with different honeybees. A total of 4 types of honey samples with 10 samples each were used in this study. The honey sample was then diluted using distilled water. Each type of honey was given two dilution treatments, namely 1:20 (volume: volume) dilution of 5 samples and 1:40 (volume: volume) dilution of 5 samples. Spectral data were taken using a UV-visible spectrometer with a wavelength of 190-1100 nm (Genesys™ 10S UV-Vis, Thermo Scientific, USA) using the transmittance mode. The results of spectra analysis generally show that the sample with a 1:20 dilution has a higher absorbance intensity for both the original and modified spectra. The PCA results for each dilution showed that the honey samples could be separated into four different clusters for both 1:20 and 1:40 dilutions. The results of PCA analysis using all samples showed that the honey samples were classified into eight different clusters showing a significant effect of differences in honey sample dilution on the classification process of honey samples based on differences in the types of honeybees.

Semakin tingginya permintaan bahan baku kentang untuk french fries khususnya, perlu diimbangi oleh peningkatan suplai kentang dengan kualitas yang memenuhi persyaratan skala industri. Aplikasi dosis pupuk NPK yang tepat serta umur panen yang sesuai merupakan strategi dalam meningkatkan kualitas kentang. Penelitian bertujuan untuk menentukan dosis pupuk NPK dan umur panen yang dapat menghasilkan ubi kentang dengan kualitas olah terbaik. Percobaan dilakukan dengan menggunakan Rancangan Acak Kelompok pola faktorial dengan dua faktor dan tiga ulangan. Faktor pertama, yaitu dosis pupuk NPK (50, 100, 150% dosis rekomendasi) dan umur panen (90, 105, 120 HST). Hasil penelitian memperlihatkan bahwa perlakuan dosis pupuk NPK dan umur panen tidak memperlihatkan interaksi. Kadar air dan gula reduksi tidak dipengaruhi oleh perlakuan dosis pupuk dan umur panen. Perlakuan dosis pupuk 150 kg N ha-1, 225 kg P ha-1, dan 225 kg K ha-1 menunjukkan kadar pati ubi tertinggi dengan tingkat kerenyahan french fries paling disukai. Perlakuan umur panen 120 hari setelah tanam (HST) memberikan kadar pati dan tingkat kesukaan warna dan kerenyahan french fries paling tinggi. Abstract The potato demand is increasing, as a raw material for french fries in particular, yet followed by potato improvement to fulfil the industry requirement. The application of NPK fertilizer in appropriate dosage and harvesting time is the essential strategy to increase potato quality. This study aimed to determine the proper dosage of NPK and harvesting time to obtain the best characteristics of potato tuber for processing. The experimental design used a factorial randomized block design consisting of two factors; NPK fertilizer dosages (50, 100, 150% recommended dosage) and harvesting time (90, 105, 120 DAP). NPK fertilizer dosage had no interaction with harvesting time. Tuber water content and reducing sugars were not affected by NPK fertilizer dosage and harvesting time. The treatment of 150 kg N ha-1, 225 kg P ha-1 and 225 kg K ha-1 had the best tuber starch content, and after processing to be french fries, it showed the most favored crispness. Meanwhile, harvesting time at 120 DAP resulted in the highest tuber starch content, french fries colour and crispness score. Giving a certain dose of NPK fertilizer will affect the quality of potato tubers. The right harvesting time affects on the potato tuber quality.

It is intriguing to understand the influence of the watering volume and growing design on the growth, yield, and quality of cherry tomatoes. This study sought to identify the most effective watering volume and growing design treatment for the production and quality of the cherry tomato cultivar Ruby. This study was an exploration using a factorial experiment with an RCBD design. The treatment factors included the growing design (greenhouse, rain shelter, and screen house) and the watering volume (100% ETc, 75% ETc, and 50% ETc). The results showed that the root dry weight and root–shoot ratio were higher in the screen house design, while the fruit firmness was higher in the rain shelter design. Considering the effect of the watering volume, a higher fruit diameter, heavier fruits, more fruits per plant, higher ultimate fruit and biological yield per plant, higher root and shoot biomass, better root–shoot ratio, higher leaf chlorophyll content, greater fruit skin firmness, and greater elasticity were noted for the 100% ETc treatment. In contrast, the growth rate was higher for the 50% ETc treatment. Cultivating cherry tomatoes in a greenhouse using a watering volume of 100% ETc is recommended based on the results. These conditions led to better growth, higher fruit yield, and improved fruit quality, making them favorable options for successful cherry tomato production.

Stingless bee honey (SBH) is rich in phenolic compounds and available in limited quantities. Authentication of SBH is important to protect SBH from adulteration and retain the reputation and sustainability of SBH production. In this research, we use portable LED-based fluorescence spectroscopy to generate and measure the fluorescence intensity of pure SBH and adulterated samples. The spectrometer is equipped with four UV-LED lamps (peaking at 365 nm) as an excitation source. Heterotrigona itama, a popular SBH, was used as a sample. 100 samples of pure SBH and 240 samples of adulterated SBH (levels of adulteration ranging from 10 to 60%) were prepared. Fluorescence spectral acquisition was measured for both the pure and adulterated SBH samples. Principal component analysis (PCA) demonstrated that a clear separation between the pure and adulterated SBH samples could be established from the first two principal components (PCs). A supervised classification based on soft independent modeling of class analogy (SIMCA) achieved an excellent classification result with 100% accuracy, sensitivity, specificity, and precision. Principal component regression (PCR) was superior to partial least squares regression (PLSR) and multiple linear regression (MLR) methods, with a coefficient of determination in prediction (R2p) = 0.9627, root mean squared error of prediction (RMSEP) = 4.1579%, ratio prediction to deviation (RPD) = 5.36, and range error ratio (RER) = 14.81. The LOD and LOQ obtained were higher compared to several previous studies. However, most predicted samples were very close to the regression line, which indicates that the developed PLSR, PCR, and MLR models could be used to detect HFCS adulteration of pure SBH samples. These results showed the proposed portable LED-based fluorescence spectroscopy has a high potential to detect and quantify food adulteration in SBH, with the additional advantages of being an accurate, affordable, and fast measurement with minimum sample preparation.

This study aims to apply near infrared technology as a fast, simultaneous and non-destructive method for quality assessment on intact mango fruit in form of total soluble solids (TSS) and vitamin C. Absorbance spectra of 186 intact mango fruits with four different cultivars were acquired and recorded in wavelength ranging from 1000–2500 nm. Spectra data were enhanced and corrected using three different methods namely moving average smoothing (MAS), extended multiplicative scatter correction (EMSC) and standard normal variate (SNV). In addition, they were divided into two datasets namely calibration (n = 143) and prediction (n = 43) datasets consisting all four mango cultivars. The models used to predict TSS and vitamin C were developed using partial least square regression (PLSR). Prediction performance were quantified using correlation coefficient (r), root mean square error (RMSE), ratio prediction to deviation (RPD) and range to error ratio (RER) indexes. The results showed that the best prediction models for TSS and vitamin C were achieved when the models were constructed using EMSC correction approach with r = 0.86, RMSE = 1.67 Brix, RPD = 2.34 and RER = 9.72 for TSS. Meanwhile, for vitamin C, r = 0.86, RMSE = 6.84 mg·100g−1, RPD = 2.00 and RER = 8.87. From this study, it was concluded that near infrared technology combined with proper spectra enhancement method may be applied as a rapid, simultaneous and contactless method for quality assessment on intact mangoes.

Buah mangga memiliki kandungan nutrisi yang bermanfaat bagi kesehatan. Komoditas ini tersedia di pasar dalam berbagai jenis kulitvar, diantaranya cengkir, kweni, kent dan palmer. Tujuan penelitian ini adalah memprediksi kualitas internal buah mangga yaitu vitamin C, total asam tertitrasi, total padatan terlarut (TPT) menggunakan near-infrared reflectance spectroscopy (NIRS). Spektra diffuse reflectance yang diperoleh dari hasil akuisisi spektra dikoreksi dengan pra-pengolahan spektra metode orthogonal signal correction (OSC), dan turunan pertama savitzky-golay (dg1). Hasil penelitian menjelaskan bahwa vitamin C, total asam tertitrasi, dan TPT dapat diprediksi dengan baik menggunakan NIRS. Pra-pengolahan spektra memberikan pengaruh terhadap akurasi pendugaan kualitas internal buah mangga. Spektra dg1 memperoleh nilai R2 kalibrasi tertinggi pada ketiga parameter kualitas yaitu 0,98 (vitamin C), 0,87 (total asam tertitrasi), dan 0,96 (TPT). Namun, pada pendugaan vitamin C dan total padatan terlarut, spektra dg1 menampilkan nilai konsisten yang rendah yaitu sebesar 56% dan 63%. Pra-pengolahan spektra OSC mampu mereduksi jumlah faktor pada spektra original. Model kalibrasi terbaik pendugaan vitamin C dan total padatan terlarut diperoleh oleh spektra original, sedangkan pendugaan total asam tertitrasi ditunjukkan oleh spektra dg1

In this research, spectral data in UV region (200400 nm) alongside PCA and SIMCA chemometrics were used to classify two types of honey obtained from different honeybees (Apis dorsata versus Apis mellifera). A total of 200 Durian monofloral honey samples from Apis dorsata and 120 samples for Longan monofloral honey from Apis mellifera were prepared. Therefore, spectral data were recorded based on the following parameters: range of acquisition 200-400 nm, transmittance mode, and interval 1 nm. In addition, the original spectra were transformed using three different algorithms: moving average smoothing with 11 segments, standard normal variate (SNV), and Savitzky-Golay 1st derivative with 11 segments and 2 ordos. The result of PCA using transformed spectra in the range of 250400 nm explained the possibility of clearly separating Durian and Longan honey along the PC1 axis, with 98% variance, while the SIMCA showed a 100% proper classification rate for all prediction samples. In addition, several important wavelengths were identified alongside high x-loadings values at 270 and 300 nm. These results were closely related to the absorbance of important phenolic compounds in honey, including benzoic, salicylic, and aryl-alyphatic acids. The results demonstrate a probability to establish simple and low-cost honey authentication systems, using UV spectroscopy and chemometrics on free-chemical in sample preparations.

Spectra data of 300 samples from 6 Cucurbitaceae commodities, including zucchini, bitter gourd, ridge gourd, melon, chayote, and cucumber, were recorded using a handheld visible/near-infrared (Vis/NIR) instrument. Vis/NIR data were obtained in the form of absorbance spectra data at a wavelength of 381–1065 nm. The spectral data has the potential to be reused to predict quality attributes in the form of soluble solids and water content on several Cucurbitaceae commodities. The accuracy of the Vis/NIR calibration model can be increased by applying spectra preprocessing, for example, second derivative savitzky-golay (dg2). The calibration model was developed using the principal component regression (PCR) method on RAW and dg2 spectra. The enhanced Vis/NIR dataset can be used to evaluate the inner quality attributes of intact fruits in a rapid, non-destructive manner.

Penurunan kualitas selama penyimpanan merupakan permasalahan yang seringkali ditemui pada pascapanen buah jambu kristal. Oleh karena itu, diperlukan penanganan yang tepat. Penanganan pascapanen yang umum digunakan adalah dengan penggunaan kemasan. Tujuan penelitian ini adalah untuk mengkaji hubungan berbagai kemasan dan masa simpan terhadap nilai kekerasan, total padatan terlarut (TPT) dan kadar air buah jambu kristal. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) pola faktorial dengan 4 ulangan. Faktor pertama adalah pengemasan (tanpa kemasan (kontrol), plastik wrapping, koran) dan faktor kedua adalah masa simpan (0, 4 dan 8 hari). Data yang diperoleh kemudian diolah dengan analisis sidik ragam (ANOVA), selanjutnya diuji Duncan dengan taraf 5%. Hasil yang didapatkan menunjukkan tidak terjadi interaksi antara jenis kemasan dan masa simpan terhadap nilai kekerasan, TPT dan kadar air buah jambu kristal. Namun, jenis kemasan koran menampilkan nilai kekerasan buah jambu kristal yang lebih rendah daripada perlakuan tanpa kemasan (kontrol) dan plastik wrapping, sedangkan masa simpan 0 hari memperlihatkan nilai kekerasan buah jambu kristal yang lebih tinggi dibandingkan dengan masa simpan 4 dan 8 hari. Nilai kekerasan buah mengalami penurunan setelah 4 hari penyimpanan. Penggunaan kemasan berupa plastik wrapping dan koran tidak lebih baik dibandingkan dengan tanpa pengemasan (kontrol) terhadap nilai kekerasan pada buah jambu kristal. ABSTRACT Losses during storage is often encountered in postharvest of crystal guava fruit. Therefore, proper handling is needed. Packaging is the most commonly performed postharvest handling. The purpose of this study was to examine the relationship of various packagings and storage periods to the values of firmness, total soluble solids (TSS) and water content of crystal guava fruit. This study used factorial arrangement of completely randomized design (CRD) with four replications. The first factor was packagings (without packaging (control), wrap plastic and paper) and the second factor was storage periods (0, 4, and 8 days) in room temperature (±250C). The data obtained then processed using analysis of variance (ANOVA), then duncan test was carried out with a level of 5%. The results showed no interaction between the types of packaging and storage periods to the values of firmness, TSS and water content of crystal guava fruit. However, the paper packaging presented the firmness value which was lower than without packaging (control) and wrap plastic, whereas the 0 day storage showed the firmness value fruit which was higher than the 4 and 8 days storage. Value of fruit firmness decreased after 4 days of storage. The use of packaging in the form of wrap plastic and paper were not better than without packaging (control) to the firmness of the crystal guava fruit.

Fruits are one of the sources of nutrition needed for health. Fruit quality is generally assessed by physical and chemical properties. Measurement of fruit internal quality is usually done by destructive techniques. Ultraviolet, visible and near-infrared (UV-Vis-NIR) spec-troscopy is a non-destructive technique to measure fruit quality. This technique can rapidly measure the fruit quality, the measured fruit still remains intact, and can be marketed. Besides, UV-Vis-NIR spectrosco-py can also be used to classify fruits. The study aimed to classify var-ious types of fruits using UV-Vis-NIR spectroscopy with wavelengths of 300-1041 nm and Principal Component Analysis (PCA). First de-rivative savitzky-golay with 9 smoothing points (dg1) and multiplica-tive scatter correction (MSC) were applied to correct the spectra. The results showed that the use of uv-vis-nir spectroscopy and PCA com-bined with spectra pre-treatment of the MSC method were able to clas-sify various types of fruits with 100% success rate in all fruit samples including sapodilla, ridge gourd, mango, guava, apple and zucchini.

Cayenne pepper fruit can be used for health because it is a source of antioxidants. Detection of quality fruit can use non-destructive methods as an alternative method. Visible short wavelength near infrared (Vis-SWNIR) spectroscopy is non-destructive measurement. This method can be used to discriminate fruit by using the principal component analysis (PCA). This research aimed to discriminate between Cayenne pepper with various maturity by using Vis-SWNIR spectroscopy with a wavelength of 300-1065 nm and principal component analysis (PCA). Cayenne pepper fruit was devided into three groups, namely green, orange and red. The spectrum used the absorbance spectrum data (original). The research was carried out from March to June 2020. The result showed that the use of Vis-SWNIR and PCA were able to discriminate various maturity of cayenne pepper with a 100% success rate.

Ensuring high-quality agricultural products has become important in agriculture since society’s standard of living has risen. Meanwhile, Moringa oleifera L. leaf extract (MLE) has been used as a plant biostimulant to improve product quality. The effectiveness of MLE is associated with its beneficial components, consisting of nutrients, phytohormones, secondary metabolites, amino acids, and bioactive compounds. Previous studies have been carried out to find the effects of MLE application on the quality of different crops, including basil, kale, spinach, maize, radish, brinjal, pepper, tomato, grape, strawberry, and more. The results are generally positive concerning physical, nutritional, and chemical qualities. This review comprises recent findings regarding MLE application as a plant biostimulant to increase quality attributes, with its underlying mechanism.

Shelf life is an important breeding trait in tomato, especially for the tomato production in subtropical and tropical regions. Previously we have isolated and characterized ethylene receptor mutants, Sletr1-1 and Sletr1-2 from mutant population based on Micro-Tom cultivar. Sletr1-1 showed insensitivity to ethylene while Sletr1-2 showed reduced sensitivity to ethylene. We also have demonstrated that the traits are useful for extending fruit shelf life of the hybrid tomato cultivars. For commercializing the hybrid cultivars, the seed quality is another important trait. In this study, we evaluated the effects of the Sletr1-1 and Sletr1-2 mutations on the seed quality characteristics of F1 hybrid lines generated by crossing Sletr1-1 and Sletr1-2 with three commercial tomato cultivars, Intan, Mutiara and Ratna. Sletr1-1 mutation conferred insensitivity to ethylene in the F1 hybrid seedlings, resulting in negative effects including reduced germination rate, vigor index and emergence speed index. Interestingly Sletr1-2 mutation had almost no effect on the seed quality characteristics of the F1 hybrid lines, suggesting that Sletr1-2 was suitable for producing high quality of hybrid seeds.

Latest studies on Vis/NIR research mostly focused on particular products. Developing a model for a specific product is costly and laborious. This study utilized visible/near-infrared (Vis/NIR) spectroscopy to evaluate the quality attributes of six products of the Cucurbitaceae family, with a single estimation model, rather than individually. The study made use of six intact products, zucchini, bitter gourd, ridge gourd, melon, chayote, and cucumber. Subsequently, the multi-product models for soluble solids content (SSC) and water content were created using partial least squares regression (PLSR) method. The PLSR modeling produced satisfactory results, the coefficient of determination in calibration set (R2c) was discovered to be 0.95 and 0.92, while the root mean squares error of calibration (RMSEC) was found to be 0.41 and 0.61, for SSC and water content, respectively. These models were able to accurately predict the unknown samples with coefficient of determination in prediction set (R2p) of 0.96 and 0.92, as well as root mean squares error of prediction (RMSEP) of 0.32 and 0.58, while the ratio of prediction to deviation (RPD) was found to be 5.68 and 3.69 for SSC and water content, respectively. This shows Vis/NIR spectroscopy was able to quantify the SSC and water content of six products of Cucurbitaceae family, using a single model.

The detection of nutritional compounds is usually performed through laboratory analysis, which requires extensive planning, time, cost, and effort. Alternatively, visible/near-infrared (Vis/NIR) spectroscopy can be used to determine the presence of nutritional compounds in real-time. This study aimed to investigate the potential application of the Vis/NIR spectroscopy in the quantitative detection of nutritional compounds in green ‘Ratuni UNPAD’ cayenne pepper. Prior to the model development, 80 samples were prepared for the calibration set, while another 40 samples were provided for the prediction set. Subsequently, the parameters used to calculate the model accuracy included the coefficient of correlation in calibration set (Rcal), coefficient of correlation in prediction set (Rpred), root mean square error of calibration set (RMSEC), root mean square error of prediction set (RMSEP) and the ratio of prediction to deviation (RPD). The experimental results involving the total carotenoids showed good model indicators with Rcal, Rpred, RMSEC, RMSEP, and RPD at 0.94, 0.89, 1.29, 1.75, and 2.21, respectively. Additionally, the analysis of the water content indicated Rcal, Rpred, RMSEC, RMSEP, and RPD values of 0.86, 0.85, 0.59, 0.61, and 1.90, respectively, while that of capsaicin had Rcal, Rpred, RMSEC, RMSEP, and RPD values of 0.89, 0.90, 117.82, 115.62, and 2.29, respectively. The results showed that Vis/NIR spectroscopy can be used to detect the nutritional compounds in green ‘Ratuni UNPAD’ cayenne pepper based on total carotenoids, water content, and capsaicin parameters.

Tanaman krisan (Chrysanthemum morifolium Ramat) merupakan tanaman perenial herbasius dari famili Asteraceae. Krisan memiliki nilai ekonomi yang cukup tinggi di Indonesia sebagai tanaman hias dalam bentuk bunga pot dan bunga potong. Permintaan pasar akan bunga krisan mengalami peningkatan setiap tahunnya.. Salah satu faktor yang mempengaruhi penurunan kualitas bunga potong krisan yakni etilen. Etilen merupakan hormon tanaman yang berperan pada proses pengguguran daun dan bunga, pemicu pembungaan, pembengkakan batang, pembentukan akar, memicu perkecambahan benih, pemasakan buah. Krisan termasuk kedalam jenis tanaman non-klimakterik, yakni tanaman yang kurang sensitif terhadap etilen. Namun pada beberapa penelitian menemukan beberapa varietas dari krisan sensitif terhadap paparan etilen eksogen. Salah satu cara untuk mengurangi efek etilen dengan aplikasi 1-Methylcyclopropene (1-MCP). Kerja 1-MCP pada tanaman yakni sebagai kompetitor etilen saat menempel pada reseptor. Aplikasi 1-MCP pada bunga potong krisan dapat memperpanjang umur dari bunga dengan mengurangi degradasi klorofil dan kehilangan berat segar bunga potong. Aplikasi 1-MCP pada setek krisan mampu mengurangi gejala kerusakan akibat etilen seperti penguningan daun, pengguguran daun, dan nekrosis. Setek yang diaplikasikan 1-MCP akan mengalami penghambatan dalam pembentukan akar karena terkait peran etilen terhadap inisiasi akar.

Cut roses is one of the important ornamental cut flowers. Many factors affect the loss of postharvest life quality of cut flower, such as temperature, humidity and the presence of ethylene during postharvest storage. In ethylene sensitive roses, ethylene enhances petal discoloration, chlorophyll degradation, petal efflorescence and increase in petal diameter which generating in flower senescence. This data article described the effect of 1-Methylcyclopropene (1-MCP), Salicylic Acid (SA) and its combination on the postharvest life quality of two commercial cut roses varieties, ‘Peach Avalanche’ and ‘Sexy Red’. The flower longevity quality of 1-MCP at 0.5 and 1 µL/L, SA 1.0 and 1.5%, combination of 1-MCP + SA (0.5 + 1.0 µL/L and 1.0 + 1.5%), and untreated flowers were analyzed.

Low bean production in Indonesia is caused by several factors such as poor soil condition and low quality of the pods. The use of granular organic fertilizer can optimize soil as a growing medium of beans. In addition, the application of harvest interval setting in combination with the use of granular organic fertilizer probably can improve production and quality bean pods. The research aimed to find out granular organic fertilizer doses and harvest interval setting that resulted in good effects on the growth, yield, and quality of beans grown on Inceptisol from Jatinangor, West Java. A field experiment was carried out at Ciparanje field, Jatinangor, West Java from February to April 2016. The experiment was arranged in a Randomized Block Design (RBD) with 12 treatments and 3 replications. The results showed that the dose of 150 kg ha-1 granular organic fertilizer and harvest interval of every two days resulted in shoot:root ratio of 12.8, increased percentage of productive branches up to 57.48%, increased percentage of grade B pods (60.17%) and lowered the percentage of grade C pods (29.21%).

Dogfruit (Pithecellobium jiringa) and stink bean (Parkia speciosa) are two typical smelly legumes from Southeast Asia that are widely used in the cuisines of this region. Headspace/gas chromatography/flame ionization detection analysis and mass spectrometry (MS)-based electronic nose techniques were applied to monitor ripening changes in the volatile flavor profiles of dogfruit and stink bean. Compositional analysis showed that the ripening process greatly influenced the composition and content of the volatile aroma profiles of these two smelly food materials, particularly their alcohol, aldehyde, and sulfur components. The quantity of predominant hexanal in stink bean significantly declined (P

Tuberose (Polyanthes tuberosa L.) is a potential flowering plant that will be developed in Jatinangor, West Java, Indonesia. However, the characteristics of Typic Hapludult soil in Jatinangor , i.e. clay texture, acidic pH, and high amount of total-P but low in available-P cause the tuberose difficult to grow optimally. The aim of this study was to obtain the potential ratio of organic and inorganic fertilizer dosages for tuberose grown on Typic Hapludult. The combinations of organic and inorganic fertilizers with different ratios (0/0; 0/1; 1/0; 0.5/0.5; 0.5/1; 1/0.5; 1/1.5; 1.5/0; 1.5/0.5, and 1.5/) were applied. The application of the combination of organic and inorganic fertilizers showed positive effects on soil pH, available-P, total-P, and fresh weight of tuberose grown on Typic Hapludult. The application of 50% organic fertilizer + 50% inorganic fertilizer was an effective combination that was able to increase the fresh weight of tuberose up to 9240 g plant-1 or increasing the fresh weight by 39% in comparison to that in the control treatment (without fertilizer application).

Presented dataset contains spectral data on near infrared region for a total of 186 intact mango fruit samples from 4 different cultivars (cv. Kweni, Cengkir, Palmer and Kent). Near infrared spectral data were collected and recorded as absorbance (Log(1/R)) data in wavelength range of 1000–2500 nm. Those spectral data are potential to be re-used and analysed for the prediction of mango quality attributes in form of vitamin C, soluble solids content (SSC) and total acidity (TA). Spectra data can be corrected and enhanced using several algorithms such as multiplicative scatter correction (MSC) and de-trending (DT). Prediction models can be established using common regression approach like partial least square regression (PLSR). Keywords: NIRS, Spectroscopy, Spectral data, Mango, Prediction

Organic and traditional cultivation techniques significantly affect the yield and quality of tomato fruit. To achieve the highest possible production of hybrid lines, the appropriate cultivation system is needed. The application of different cultivation systems was expected to improve the yield and fruit quality of three new tropical hybrid tomatoes varieties that prolong fruit shelf life. This experiment was conducted to identify the effect of the different cultivation systems on the yield and fruit quality of three hybrid tomatoes from different tropical parental backgrounds (‘Mutiara’, ‘Intan’ and ‘Ratna’). Those hybrid lines were cultivated with two farming systems (organic and conventional cultivation system), and the fruit quality was analysed at two stages of fruit maturation (Breaker and Red).

Chili peppers are a staple food for countries worldwide and are loaded with vitamins and antioxidants. One of the world's largest chili consumers, Indonesia faces climate adversities and cash-crop pest infestations that affect its horticulture market. The present research explores microclimatic and watering for physiological performances in different chili cultivars, useful in suggesting the strategies of cultivation with a climate-resilient perception. The research was done in the Bale Tatanen, Padjadjaran University, using a Factorial Randomized Complete Block Design to analyze chili plant physiology. According to statistical analyses, cultivars did not significantly affect absolute growth rate (AGR), but growing microclimates and watering volumes did significantly affect AGR and water use efficiency (WUE). The rain shelter and screen house had the highest WUE and AGR values. Growing microclimates and cultivars significantly affected transpiration rate, stomatal conductance to water vapor and total conductance to CO2, with the screen house exhibiting the highest values. All three factors significantly affected the photosynthetic rate, with the greenhouse showing the highest rate. The photosynthetic photon flux density (PPFD) was likewise highest in the greenhouse. This study aimed to systematically assess these factors and it tried suggesting practices that might assist in combating the effects of abiotic stress on chili production, for its sustainability. The findings of this research would help in conceptualizing the most efficient microclimate and watering volume for chili cultivation particularly, when considering climate change challenges as well; these results could also be applied to develop guidelines which might serve helpful at resource-poor farming. [ABSTRACT FROM AUTHOR]

Indonesian stingless bee honey (SBH) of Geniotrigona thoracica is popular and traded at an expensive price. Brown rice syrup (RS) is frequently used as a cheap adulterant for an economically motivated adulteration (EMA) in SBH. In this study, authentic Indonesian Geniotrigona thoracica SBH of Acacia mangium (n = 100), adulterated SBH (n = 120), fake SBH (n = 100), and RS (n = 200) were prepared. In short, 2 mL of each sample was dropped directly into an innovative sample holder without any sample preparation including no dilution. Fluorescence intensity was acquired using a fluorescence spectrometer. This portable instrument is equipped with a 365 nm LED lamp as the fixed excitation source. Principal component analysis (PCA) was calculated for the smoothed spectral data. The results showed that the authentic SBH and non-SBH (adulterated SBH, fake SBH, and RS) samples could be well separated using the smoothed spectral data. The cumulative percentage variance of the first two PCs, 98.4749% and 98.4425%, was obtained for calibration and validation, respectively. The highest prediction accuracy was 99.5% and was obtained using principal component analysis–linear discriminant analysis (PCA-LDA). The best partial least square (PLS) calibration was obtained using the combined interval with R2cal = 0.898 and R2val = 0.874 for calibration and validation, respectively. In the prediction, the developed model could predict the adulteration level in the adulterated honey samples with an acceptable ratio of prediction to deviation (RPD) = 2.282, and range error ratio (RER) = 6.612. [ABSTRACT FROM AUTHOR]