Harvest Season Research Articles

Lure specificity, phenology, and damage caused by Epiphyas moths (Lepidoptera: Tortricidae) in Western Australian apple orchards.

Multiple Epiphyas species inhabit southwestern Western Australia, including Light Brown Apple Moth (LBAM) Epiphyas postvittana (Walker) (Lepidoptera: Tortricidae), a globally significant, polyphagous pest. This study evaluated the efficacy and specificity of lures designed for 3 Epiphyas species: E. postvittana, Epiphyas pulla (Turner), and the undescribed Epiphyas sp. (1) (Common). Additionally, the study sought to determine the presence and distribution of Epiphyas species in 3 significant apple-growing localities. Trapping, together with partial sequencing of the mitochondrial COI gene, found LBAM to be restricted to the Perth Hills and E. pulla, to apple orchards near Manjimup and Pemberton. This geographic disjunction remains unexplained. Epiphyas sp. (1) was not recorded despite using a specifically designed lure. The E. pulla and LBAM traps demonstrated superior efficacy in capturing their target species, while the catch in Epiphyas sp. (1) traps did not significantly differ between the 2. Both E. pulla and LBAM exhibited peak abundance from late spring to the end of summer (October-February), with variations in timing and peak catch of male moths across species, locations, and years. Surveys conducted in April during the harvest period (February-May), when moth traps caught an average of 1-1.8 moths/trap/week, found no Epiphyas larvae or damage on 140,400 mature apples or on 26,000 leaves. While E. pulla and LBAM traps effectively monitor their target moths, genetic identification of trap catch would be necessary if they co-occurred. Encouragingly, the results indicate that both species become relatively rare as harvest season approaches, and neither inflicts significant damage to mature apples under existing management.

Innovative Implications of Paddy Straw in Concrete: A Review

Rice is a crop that is grown worldwide and is mostly produced in Asian countries such as China, India, Indonesia, Vietnam, and others. For every ton of harvested rice, around 1.5 tons of paddy straw is produced. Paddy straw is available in substantial amounts during the rice harvesting seasons, depending on the region. In place of burning, governments and communities can promote composting, use paddy straw as animal feed, or invest in technology that turn waste straw into goods that are valuable. Buildings with improved energy efficiency, reduced agricultural waste, and alternative building materials can all benefit from the use of paddy straw in construction. However, proper processing and treatment are required to assure structural integrity, fire resistance, and longevity in construction applications. A thorough analysis was carried out to see how paddy straw might be used to address different environmental issues. It addresses a number of issues, including market potential, sustainability, cost-effectiveness, and technological viability. In this type of research, the durability, workability, and compressive strength of the concrete mix are typically evaluated by replacing a portion of the cement with ash derived from paddy straws. Research topics often include the optimal ash concentration, effects on hydration kinetics, and long-term performance of concrete.

Comparative analysis of actual evapotranspiration values estimated by METRIC model using LOCAL data and EEFlux for an irrigated area in Northern Sinaloa, Mexico

Landsat images combined with the METRIC model have been used in applications such as EEFlux to estimate actual evapotranspiration (ETa) in irrigated areas, with uncertainty as to whether the results are sufficiently accurate at local scales. This work compares temporally and spatially ETa estimates using Landsat imagery and the METRIC model with LOCAL measured weather data and EEFlux for an irrigated area in northern Sinaloa, Mexico, from 1995 to 2018. A regression analysis and error metrics such as coefficient of determination (R2), mean absolute error (MAE), root mean square error (RMSE) and slope were used to compare both models. The temporal analysis results confirm that ETa differences are closely related to crop growth and that the daily mean absolute error was 1.17 mm/day. Spatial analysis showed that when using only cropland pixels without non-cropland pixels in EEFlux, the R2 increases from 0.36 to 0.73, and the RMSE decreases from 2.52 to 1.98 mm/day. Therefore, EEFlux should be limited to cropland areas, and it is suggested to exclude Landsat images close to the planting and harvesting season to reduce the differences.

A three-years survey of microbial contaminants in industrial hemp inflorescences from two Italian cultivation sites

BackgroundThe use of industrial Cannabis sativa L. for recreational, cosmeceutical, nutraceutical, and medicinal purposes has gained momentum due to its rich content of valuable phytochemicals, such as cannabidiol (CBD) and cannabigerol (CBG). However, there are concerns regarding the risk of microbial contamination in plants grown outside controlled environments. Microbes associated with hemp can be either epiphytes or endophytes and may pose a risk of infectious illness for humans.MethodsSeven Italian hemp genotypes, including Bernabeo, Carmagnola, Carmaleonte, Codimono, CS, Eletta Campana, and Fibranova, were cultivated in two distinct geographic locations, Catania and Rovigo, for three consecutive years from 2019 to 2021. Total aerobic microbes (TAMC), total combined yeasts/moulds (TYMC), the presence of bile-tolerant Gram-negative bacteria, and the absence of Escherichia coli and Salmonella spp. were evaluated and compared. The main phytocannabinoid content was measured and correlated with microbial contamination.ResultsMost samples analyzed in this study did not meet the European Pharmacopoeia microbiological limits. The detection of potential pathogens, such as E. coli and Salmonella spp., in the samples indicates that the use of inflorescences may represent a possible source of infection. Microbial contamination varied among harvesting seasons and production sites, with agroclimatic conditions influencing microbial load and composition. The presence of potentially pathogenic bacteria was less associated with seasonal climate variability and more likely affected by sporadic contamination from external sources. CBD concentration exhibited a negative correlation with bile-tolerant Gram-negative bacteria and total yeasts/moulds levels. Samples with lower CBD content were more contaminated than those with higher CBD levels, suggesting a potential protective effect of this phytochemical on the plant.ConclusionsThe threshing residues (inflorescences, floral bracts, and leaves) of industrial hemp varieties represent a valuable product and a source of beneficial phytochemicals that warrants further exploration. While post-harvest sterilization methods may reduce microbiological risks, they may also degrade heat- and light-sensitive bioactive phytochemicals. The most promising strategy involves implementing best agronomic practices to maintain healthy and uncontaminated cultures. Rigorous monitoring and quality certification protocols are essential to mitigate the microbiological risk associated with the consumption of hemp-derived products.

Field validation as a means for continual monitoring of approved test kit’s fitness for purpose in the commercial market

Testing accuracy of a chemical contaminant requires use of a testing platform that conforms to validation criteria outlined in quality literature and standards. This study explores the application of commercial field data measured by qualified analysts using a United States Department of Agriculture – Federal Grain Inspection Service approved kit for measuring fumonisin in maize to augment method validation procedures. Analysts from seven grain testing facilities were qualified in official USDA sampling, sample preparation, and testing methodology using the Charm LF-FUMQ-WETS5. A duplicate sample was tested in the Office of the Texas State Chemist (OTSC) laboratory using UPLC-MS-MS. Data were subject to four statistical techniques using continuous and categorical methodology. This approach enabled researchers to explore if a single test or multiple comparisons were best suited to assess a field kit’s fitness for purpose across facility, toxin level, and year. The study concluded that a paired t-test and correlation analysis provided a quick and meaningful evaluation of kit performance. The correct placement of samples within the correct bin (violative versus non-violative) aligns well with market forces and regulatory compliance. The results of this study also provide a useful tool to assess all field kits’ performance at the beginning of the harvest season and subsequent years. The combination of statistical techniques presented in this research is an important tool in assessing mycotoxin field test kits fitness for purpose and represents a key step in a continuous improvement-quality systems process meant to protect the feed and food supply.

Risk Perception, Risk Preference, and Timing of Food Sales: New Insights into Farmers' Negativity in China.

Chinese farmers, especially small ones, always sell their food at low prices during harvest season rather than storing it for a better price. Based on a theoretical framework of expected utility, this paper examines the mechanism by which risk perception affects farmers' timing choices of food sales and the role played by risk preference, utilizing data from the 2019 China Family Database and the China Household Finance Survey of farmers in six provinces of the main wheat-producing regions. This study shows that farmers with a high risk perception are more likely to choose current sales compared with intertemporal sales. The channel and mechanism analysis finds that increased risk perception leads to risky returns from intertemporal sales lower than certain returns from current sales in utility comparisons. It is further found that risk preference has a substitution effect on risk perception in farmers' intertemporal food sales.

Quality Comparison Between Two Species of Artemisiae Scopariae Herba Through Qualitative Analysis of HPLC Fingerprint and Quantitative Analysis of 12 Representative Constituents

ABSTRACTArtemisiae Scopariae Herba (Chinese name Yinchen), the dried aerial part of Artemisia capillaris Thunb. (A. capillaris) or Artemisia scoparia Waldst. et Kit. (A. scoparia), is one of the most commonly used herbal drugs; the one harvested in the spring is habitually named “Mian Yinchen,” and the one harvested in the autumn is habitually named “Hua Yinchen,” but only the former is used in clinical practice in China. There are significant differences in quality between two species of A. Scopariae Herba and among A. Scopariae Herba from different harvest seasons and different producing areas, but the current comparative studies on the differences in quality of A. Scopariae Herba mainly focus on the latter; there are few comparative studies on the difference in quality between A. capillaris and A. scoparia. In this paper, the HPLC fingerprints of 13 batches of A. capillaris and 7 batches of A. scoparia harvested in spring were established, 21 common peaks in the fingerprints were demarcated, the constituents of these common peaks were identified by quadrupole‐TOF‐MS/MS, the chemical pattern recognition analysis, including hierarchical cluster analysis, principal component analysis, and orthogonal partial least squares discriminant analysis, were conducted with the quantified peak areas of common peaks as variables, and the contents of 12 constituents unambiguously confirmed by reference substances in 20 batches of A. Scopariae Herba were determined. The results showed that there exist obvious differences in quality between two species of A. Scopariae Herba, and 3,4‐dicaffeoylquinic acid, 4,5‐dicaffeoylquinic acid, 3,5‐dicaffeoylquinic acid, and chlorogenic acid can be selectively used as markers to distinguish the two species of A. Scopariae Herba.

Phenolic Composition and Bioactivities of Invasive Ailanthus altissima (Mill.) Swingle Leaf Extracts Obtained by Two-Step Sequential Extraction.

Ailanthus altissima, a highly invasive species, contains valuable compounds in different plant parts, indicating great practical potential. This paper proposes the use of non-polar (n-hexane) and polar (ethanol) solvents for the extraction of antioxidant compounds from A. altissima (family Simaroubaceae) leaves in a sequential two-step process. Fresh and dried leaves were examined for their microstructure by scanning electron microscopy, and for color changes in the CIELAB color space co-ordinates. An investigation of the harvesting season, processing (freezing and drying), and solvent indicates ethanol can be used for the highly efficient extraction of phenolics, flavonoids, tannins, and carotenoids. Statistically significant differences were found between the autumn and summer samples for phenolic content, and between dried and frozen samples for tannin content. The HPLC phenolic profile indicates more phenolics (nine polyphenols) in dried leaves harvested in both seasons compared to those in frozen ones (five to six polyphenols). Frozen leaves showed a higher antioxidant activity in a ferric-reducing antioxidant power assay than that of the dried samples, which exhibited a higher antioxidant activity using the 1, 1-diphenyl-2-picryl-hydrazyl assay, but it was not statistically significant. The phenolic, flavonoid, and carotenoid contents significantly influenced the antioxidant activities. Among the ethanolic extracts, those from dried leaves showed better antibacterial activity, in particular, on Staphylococcus aureus and Enterococcus faecalis. The high bioactive content and activity of A. altissima leaves make them suitable natural raw materials for various applications.

Polyphenols in Cereals: State of the Art of Available Information and Its Potential Use in Epidemiological Studies.

Cereals are the basis of much of the world's daily diet. Recently, there has been considerable interest in the beneficial properties of wholegrains due to their content of phytochemicals, particularly polyphenols. Despite this, the existing data on polyphenolic composition of cereal-based foods reported in the most comprehensive databases are still not updated. Many cereal-based foods and phenolic compounds are missing, including pigmented ones. Observational epidemiological studies reporting the intake of polyphenols from cereals are limited and inconsistent, although experimental studies suggest a protective role for dietary polyphenols against cardiovascular disease, diabetes, and cancer. Estimating polyphenol intake is complex because of the large number of compounds present in foods and the many factors that affect their levels, such as plant variety, harvest season, food processing and cooking, making it difficult matching consumption data with data on food composition. Further, it should be taken into account that food composition tables and consumed foods are categorized in different ways. The present work provides an overview of the available data on polyphenols content reported in several existing databases, in terms of presence, missing and no data, and discusses the strengths and weaknesses of methods for assessing cereal polyphenol consumption. Furthermore, this review suggests a greater need for the inclusion of most up-to-date cereal food composition data and for the harmonization of standardized procedures in collecting cereal-based food data and adequate assessment tools for dietary intake.

Inadequacy of nutrients in children’s diets across seasons along an agricultural intensification gradient in Ethiopia

Although the production-to-consumption pathway is widely promoted to improve diet quality in developing world, its contribution to individual diet and nutrient intake remains unclear. We assessed this relationship among 377 children aged 6 to 59 months in three zones characterized by landscape diversity along an agricultural intensification gradient from the state forest of Munesa to the nearby town of Arsi Negele, Ethiopia during the two harvest seasons. A repeated interactive multiple-pass 24-h recall method was used to collect intake data. Usual intake distributions for energy, protein, iron, zinc and vitamin A were estimated using the National Cancer Institute (NCI) method and compared with estimated average requirement values to determine the prevalence of inadequate intake. The usual intake of protein, zinc and vitamin A among children were inadequate and further exacerbated by seasonality. The extent of nutrient inadequacy was higher in the diverse landscape (“near to forest” zone) than in the less diverse landscape (“distant to forest” zone). However, the diverse landscape tended to provide a better buffering capacity against seasonal energy and nutrient stress than a less diverse landscape. The age of a child positively predicted usual intakes of energy, protein, iron, zinc and vitamin A along the gradient, while breastfeeding negatively predicted these intakes. Most of the food groups and nutrients consumed were derived from on-farm production, whereas fruits and vegetables were via the market. Thus, introduction of nutrient-dense crops and increasing livestock productivity are vital to enhance consumption of diverse diets and thereby nutrients among children.

Indian Crop Insurance Schemes: Gender Performance Analysis

Crop insurance schemes are pivotal in mitigating agricultural risks, especially in rural economies like India. However, the gender dimension of participation in these schemes remains largely overlooked. This research paper delves into the gender disparities in participation rates, coverage, and benefits accrued from Indian crop insurance schemes, using six years of data from the Pradhan Mantri Fasal Bima Yojana website. The researcher employed few descriptive statistics like mean, Standard Deviation (SD), coefficient of variation (CV), and Skewness for data analysis purpose. Besides Compound Annual Growth Rate (CAGR) has been used to determine the growth rate of farmers’ participation. The analysis reveals significant gender gaps in participation, with male farmers constituting a higher percentage of participants than their female counterparts across the Kharif ( In India, the Kharif season is when the monsoon crops are grown and harvested throughout the harvesting season of India, typically from June to October )and Rabi (Rabi season is when crops are usually sown in the middle of November and harvested in April or May) seasons. While male participation was declining, female participation remained relatively stable but at lower levels. Gender-disaggregated participation highlighted challenges faced by gender-minority farmers (Here Gender Minority farmers used for Transgender Farmers). Practical suggestions include gender-sensitive outreach programs, tailored policy interventions, and improvements in accessibility for female farmers. This research contributes to the discourse on gender equality in agriculture, providing insights for policymakers and practitioners aiming to design inclusive agricultural policies and programs. Addressing these disparities can lead to greater gender equality, enhancing the sustainability and resilience of agrarian economies like India.

Bekasam, an Indonesian unique traditional fermented fish as umami sources

Bekasam is a fish that is spontaneously fermented by adding salt and a source of carbohydrates (such as cooked white rice). This traditional food is often found in several regions of Indonesia, especially in South Sumatra, South Kalimantan, and North Sulawesi. Bekasam is traditionally produced to preserve fish during the harvest season. This review aims to present information on the historical background of bekasam, its manufacturing process, chemical characteristics, the types of microflora that exist within it, and the potential utilization of bekasam as a source of umami in dishes. The methodology for this study included a combination of literature review, observational interviews with traditional bekasam producers, experimental bekasam processing, and thorough documentation. A total of 60 articles were collected and chosen based on appropriate criteria. The results of the review article offer several explanations, based on historical aspects bekasam is an adaptation of Chinese cuisine introduced by traders who visited Sriwijaya. In the South Sumatra region, especially among the Ogan and Komering tribes, clay jars left by the Chinese are used to store bekasam in the kitchen. The Komering tribe refers to the fermentation of bekasam as sam-sam. Various microbes are found in bekasam, with the main constituent being Lactobacillus spp., and a significant presence of Lactobacillus plantarum. During fermentation, the proteins in the raw materials of bekasam are degraded into simple compounds, mainly amino acids. Glutamate and aspartate had the highest values in the total composition of the other amino acids. These two amino acids contribute to the umami taste of food products. After exceeding the threshold for glutamate and aspartate, bekasam has the potential to contribute to the umami taste. Due to its umami potential, bekasam has been developed into various cuisines, including fried bekasam, sautéed bekasam, and chili sauce.

Product Development Strategy Of Durian Peresak Fruit Nature Tourism In West Lombok Regency West Nusa Tenggara

Indonesia has extraordinary tourism potential which consists of natural, cultural and artificial potential and isspread throughout the archipelago, Natural potential is flora or plants from which leaves, wood, fruit, flowers,and root oil are taken and processed into bio briquettes. Plants in Indonesia come from native Indonesia andsome plants came from other countries during the colonial period as export commodities with high economicvalue, such as spices, tea, coffee, vanilla, and so on. The existence of this plant is even able to attract the attentionof other nations to come to Indonesia. The spread of this plant starts from western to eastern IndonesiaOne of the Indonesian islands is Lombok Island in West Nusa Tenggara Province. Tourism on Lombok Island isincreasingly developing in line with government policies and the increasing number of investors who invest inof the tourism sector. Growth of tourism on this island is growing because the natural conditions of LombokIsland are suitable for the growth of various unique flora including the peresak durian that has been recognizedby many parties as having potential and superiority, unfortunately, the income from selling Peresak Durian isstill limited so it only serves as additional income for residents when the harvest season arrives. It is necessaryto think about a development strategy using using SWOT an analysis that describes the strength, a weakness,an opportunity, and a threat.Keywords: Development Strategy, Durian Peresak, Natural Tourism Products, SWOT Analysis.

Effects of extrinsic and intrinsic factors on parturition and reproductive output in wolverines

AbstractOne of the selective advantages of delayed implantation in carnivores is the flexibility to decouple the time between mating and parturition, allowing both to occur when conditions are most favorable. Terrestrial carnivores with delayed implantation have evolved reduced maternal energy expenditure through shorter gestation length, smaller neonates, and smaller litters, with a possible linkage between maternal body condition and time of birth or litter size. Using data on wolverine (Gulo gulo) females and cubs from management removals covering the entire latitudinal gradient of the Scandinavian population in 2001‐2022, I assessed the effect of extrinsic and intrinsic factors on variation in parturition date and litter size. Timing of parturition varied over 2 months, where 90% of the litters were born between 5 February and 11 March, with a birth peak on 23 February. Females living in winter grazing pastures of semi‐domestic reindeer (Rangifer tarandus) gave birth earlier than those outside, and along an elevation gradient parturition date was delayed at higher altitudes. I did not find evidence of an effect of latitude on parturition date. Furthermore, older females had greater odds than younger females of having litters with 3 cubs rather than 1 cub. To minimize the risk of harvesting lactating females, management regulations should implement harvest seasons that extend no longer than the end of January.

Orchard bird song recognition based on multi-view multi-level contrastive learning

In the harvest season, orchards are frequently plagued by birds, and thus significant fruit pecking can adversely affect both the fruit quality and yield. Recognizing bird songs is crucial for preventing damage caused by orchard birds because it can provide the basis for subsequent bird repellent efforts. However, the extensive effort required to annotate sound samples poses a significant challenge for supervised deep learning. In this paper, we propose a self-supervised multi-view learning framework based on multi-level contrasting (MV-MLC) for bird song recognition, which utilizes both time and spectrogram views as inputs. This framework leverages MLC to automatically learn representations from unlabeled data and a multi-scale feature extraction (MSFE) backbone network is employed to capture the temporal features of bird songs at different scales. The time-spectrogram consistency task in MLC learning facilitates semantic-level information exchange across multi-views, while the hierarchical contrastive learning task captures granularity-level information, thereby resulting in more robust contextual representations. In addition, embedding the shuffle attention module in MSFE facilitates mining of the spatial and channel dependencies of bird song features to further enhance the representation of features by the multi-scale network. We conducted extensive experiments using our self-built 10-class bird song data set (Orchard-birds) and the publicly available Birdsdata and Powdermill data sets. The experimental results demonstrated that MV-MLC performed better than state-of-the-art self-supervised models. In particular, MV-MLC obtained outstanding performance even with a small proportion of labeled data. The recognition accuracies based on the Orchard-birds and Birdsdata data sets were 99.40% and 92.67%, respectively, with macro F1-scores of 99.40% and 92.61%.

ANALYSIS OF RICE PRICE FORMATION AND INCREASE AT THE FARMER LEVEL

<p>This study aims to determine and analyze the condition of farmers, increasing and determining rice prices at the farmer level in German Village, Sugio District, Lamongan Regency. This study used a qualitative approach with data collection methods by conducting interviews. The results of this study show that German Village is a village with high agricultural sector potential due to rainfed areas. In addition, irrigation facilities and agricultural equipment in German Village are very adequate. Furthermore, the average German Village farmer has a land area above 5,000 m2 with a harvest period of 4 months and can harvest 3 times a year. Next, in rice pricing, the role of middlemen is very large. Meanwhile, there are four ways to increase rice prices, including: selling crops through social media, price monopoly by farmers, agricultural socialization, and scheduling harvest and planting seasons.</p>

First steps in restoring Río de la Plata grasslands: the importance of harvest method and season

Current trends in agricultural intensification lead to degraded grasslands, requiring their restoration through native species reintroduction. Various techniques are available for harvesting seeds from donor sites. However, little is known about their performance in South American C3/C4 mixed grasslands, where studies are scarce. Their particular species composition and phenology, with different flowering periods, require specific harvest strategies. We evaluated mechanical seed harvest in a northern Uruguay grassland, part of Río de la Plata grasslands. Performance of two mechanical harvest methods (seed‐stripper and dry hay) was compared in two harvest seasons (late‐spring and mid‐summer). The evaluation considered the quantity and identity of harvested seeds, and their germination in a greenhouse. Hand collections were made to assess standing seed yield. For each seed mixture, efficiency of mechanical harvests (number of seeds and seedlings compared to hand collection), proportion of germinated seeds, species transfer relative to donor site, and composition were calculated. Results revealed trade‐offs between harvests: seed‐stripper in late‐spring presented low seed collection efficiency (2% for seeds, 5% for seedlings) and species richness (43% transfer), but high seed germination (64%), showing selectivity toward winter species; seed‐stripper in mid‐summer and dry hay in both seasons showed high seed collection efficiency (42–154% for seeds, 26–50% for seedlings) and species richness (65–80% transfer), resembling donor site, albeit lower seed germination (9–20%). Seed‐stripper performance varied between seasons, while dry hay remained consistently effective. These results are pioneering for grassland restoration in Uruguay, encouraging future studies to focus on establishment in the field.

Dataset Generation and Automation to Detect Colony of Morning Glory at Growing Season Using Alignment of Two Season’s Orthomosaic Images Taken by Drone

Weed control has a significant impact on crop yield during cultivation. In this research, semantic segmentation is used to detect morning glories in soybean fields. By removing morning glory earlier in the growing season, the decrease in soybean crop yield can be minimized. However, it is difficult to create annotated images necessary for semantic segmentation at the growing season because soybeans and morning glories are both green and similar in color, making it difficult to distinguish them. This research assumes that morning glory colonies, once located at the growing season, remain stationary during the harvest season. The colonies of the morning glory at the growing season are identified by aligning the orthomosaic image from the growing season with the orthomosaic image from the harvest season because the leaves of the soybeans wither and turn brown during the harvest season. The proposed method trains a model of morning glory at the growing season based on its location at the harvest season and estimates the colonies of morning glory on the harvest season orthomosaic image. In this research, we investigated the accuracy of a deep learning-based morning glory detection model and discovered that the performance of the model varied depending on the proportion of morning glory areas on each image in the training dataset. The model demonstrated an optimal performance when only 3.5% of the proportion of the morning glory areas achieved an F2 score of 0.753.

A comparison of genomic and phenomic selection methods for yield prediction in Coffea canephora

AbstractGenomic prediction has been proposed as the standard method to predict the genetic merit of unphenotyped individuals. Despite the promising results reported in the plant breeding literature, its routine implementation remains difficult for some crops. This is the case with Coffea canephora, in which costs and availability of molecular tools are major challenges for most breeding programs. To circumvent this, the use of near‐infrared spectroscopy (NIR) has been recently proposed as an alternative to complement marker‐assisted selection. The so‐called phenomic selection relies on the reflectance spectrum to capture similarities between individuals and emerges as a valid approach for prediction. With promising results reported in multiple annual crops, we hypothesize that phenomic prediction could be a cost‐efficient approach to incorporate into a practical coffee breeding program. To test it, we relied on a diverse population of C. canephora, evaluated for yield production, in two geographical locations over four harvest seasons. Our contributions in this paper are twofold: (i) We compared phenomic and genomic selection results, and showed large predictive abilities when NIR is used as a predictor for within and across‐location predictions, and (ii) we presented a critical view of how both information sets could be combined into a contemporaneous coffee breeding program. Altogether, our results show how multi‐omic information could be integrated in the same framework to leverage genetic gains in the long term.

Assessing the genetic diversity of Centella asiatica (L.) Urb. and seasonal influence on chemotypes and morphotypes in Thailand

Both genetic variation and harvesting season impact the amounts of bioactive compounds in Centella asiatica. This study investigated the seasonal influence on chemotypes and morphotypes and evaluated the genetic diversity of C. asiatica plants collected throughout Thailand. A total of 25 C. asiatica accessions was planted in the same area in Nakhon Sawan province and harvested during winter, summer, and rainy seasons. Results exhibited that variations in triterpenoid content were observed in different harvesting seasons, with total content of the four triterpenes highest during the summer season (5.98 %DW). Besides, we noted that the amount of phytochemical constituents (total phenolic, total flavonoid and total triterpenoid contents) and antioxidant were higher in winter and summer. The morphotypes were not influenced by season, while leaf area and leaf width negatively correlated with triterpenoid content. Based on chemotypes and morphtypes, we suggested the two elite accessions including Nakhon Prathom (NPT) and Nong Bua Lamphu (NBP) due to high centelloside content and large leaf. A total of 25 C. asiatica accessions was evaluated for genetic diversity by DNA fingerprints (ISSR, SCoT, and SRAP markers), resulting in a moderate genetic diversity, consisting of geography-related two populations without association with chemotypes and morphotypes. Our findings guide farmers in optimizing harvest times, and controlling centelloside content for future smart farming and insights on genetic diversity aid in future breeding and improvement of C. asiatica for medicinal industries.