Bean Research Articles

Assessing mathematical models for the intermittent drying of cocoa (Theobroma cacao L.) beans

Fine flavor cocoa quality is significantly impacted by its postharvest drying process which can be enhanced through mathematical modeling. The objective of this study was to carry out the mathematical modeling of cocoa bean drying kinetics for a greenhouse dryer and considering intermittent drying. In this study, a natural convection solar greenhouse dryer was used to dry cocoa beans with negligible losses to an acceptable moisture content (6.6%) and cotyledon pH (5.25). Models based on Fick’s second law of diffusion, Newton’s model, and Hii, Law and Cloke’s model were developed considering (i) the entire drying period, and (ii) intermittent drying for Fick’s and Newton’s. Effective diffusivities and drying constants increased up to 1.01 ×\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes$$\\end{document} 10–11 m2/s and 0.0165 1/h respectively during drying. Newton’s model slightly outperformed Fick’s model, and the models considering intermittency showed slight improvement over the models for the entire drying period. Considering intermittency when modeling cocoa drying may be useful since a better fit to experimental data resulted, and variation of effective diffusivity and the drying constant was observed over the drying period.

Stacking Approach for Classification of Multiclass Dry Beans

Background: The most frequently cultivated edible legume crop in the world is Dry Beans (DB), which exhibit high genetic diversity. The impact of seed quality on crop production is undeniable. Seed classification is essential for production and marketing to provide building blocks for sustainable agricultural systems. With regard to big production numbers, traditional methods for classifying seed quality have flaws, including complicated processes, poor precision and sluggish inspection. Rapid and high throughput solutions are provided by automatic categorization algorithms based on machine learning and computer vision. Modern automatic classification models have made significant strides, yet there is still room for improvement by adding new methods. Since crop production is in the form of population rather than a single variation, the main goal of this study is to offer a technique for getting homogeneous dry bean variants. Although numerous intelligent models have been presented, most rely on a single classifier, which makes them unable to handle noisy and unbalanced data and can cause overfitting. Methods: To reduce bias and variance and avoid overfitting a single classifier-based model, this study provides an ensemble-based prediction model combining pertinent attributes and a simple stacking ensemble technique, Xtreme Stacking Prediction of Dry Beams (X-SPDB). The forecast is made using the proposed X-SPDB, which incorporates several assumptions. Result: Comparisons are made between the proposed X-SPDB’s performance and simple Decision Tree, SVM, Random Forest, Naive Bayes, SVM, Logistic Regression and SVM with XGBoost.

AAC GN963 great northern dry bean

AAC GN963 is a high yielding great northern dry bean ( Phaseolus vulgaris L.) cultivar with an upright, indeterminate bush (Type II) growth habit, early maturity, and a large seed size. Lodging resistance of AAC GN963 is slight improvement compared to AAC Whitehorse, a great northern bean cultivar with predominant commercial acres under irrigation in southern Alberta. The canning and cooking quality attributes of AAC GN963 were similar to the check cultivars AAC Whitehorse and Resolute. AAC GN963 is well suited for commercial production under irrigation in Alberta and Saskatchewan.

Release of ‘Kikatiti’ a multiple disease resistant pinto bean cultivar with superior productivity in Tanzania identified from evaluation of the Durango Diversity Panel

Abstract‘Kikatiti’ pinto bean (Phaseolus vulgaris L.) (Reg. no. CV‐361, PI 705149) was developed by the dry bean breeding program at the University of Nebraska, Agricultural Research Division, and submitted for release in 2021 by the Sokoine University of Agriculture in Morogoro as an upright indeterminate pinto bean with high yield potential and multiple disease resistance across bean production environments in Tanzania. Kikatiti was officially released in 2024 by the National Seed Committee. Kikatiti is an F7:8 derived line developed using the pedigree breeding method in Nebraska. The exceptional performance of Kikatiti in Tanzania was first identified by evaluation of the Durango Diversity Panel (DDP), which consisted of 200 accessions in on‐station trials conducted in Arusha and Mbeya. Kikatiti was identified as accession DDP‐094 (advanced breeding line NE2‐09‐3). Kikatiti yielded 1584 kg ha−1 across 5 years of trials in Tanzania and matured in 89 days. Kikatiti is resistant to bean rust conferred by the Ur‐3 and Ur‐11 genes, resistant to all strains of Bean common mosaic virus and Bean common mosaic necrosis virus conferred by the I and bc‐3 genes, moderately resistant to common bacterial blight conferred by the SAP6 quantitative trait locus, avoids white mold disease due to its upright architecture, and is moderately susceptible to angular leaf spot disease. Kikatiti has large seed size (35.9 g 100 seeds−1), and in on‐farm trials, farmers ranked Kikatiti above local pinto cultivars for its performance and market potential. Kikatiti has the potential to expand pinto bean production across East Africa.

THE IMPACT OF THE ETYMOLOGICAL STUDY OF THE CONSTITUENTS OF THE CONCEPT LANGUAGE POLICY ON THE FORMATION OF A CONCEPTUAL METAPHOR

The article is dedicated to the study of the semantic features of the constituent lexemes language and policy in the English worldview, which are analysed as components of the concept LANGUAGE POLICY, as well as the peculiarities of their influence on the formation of aconceptual metaphor. It has been established that the word combination language policy is rarely found in general language dictionaries, so it is appropriate to study its lexemes-constituents by their origin in order to find out how their cognitive components interact with each other. 17 and 22 definitions of the lexeme-constituents language and policy have been analysed, respectively. It is noted that the cognitive component a course of action of the lexeme-constituent policy explains the meaning of policy as directed actions on this or that issue. Cognitive components body of words; body of methods of combination of words and used by a nation, people, or race of the lexemes-constituent language explain language as a grouping of words, methods of their combination used by people. It has been established that the expediency of such an analysis consists in a detailed study of the verbalizers of the nominative field of the concept LANGUAGE POLICY. This requires a comprehensive analysis of the concept, taking into account qualitative and quantitative studies. Several conceptual metaphors are identified such as ECOLOGY, LANGUAGE PLANNING IS AN ORGAN, LANGUAGE IS STATUS, LANGUAGE IS FIGHT,MULTILINGUALISM IS MOSAIC, MULTILINGUALISM IS CONSTELLATION and LANGUAGE IS A FLOWER.It was noted that the etymological analysis of the combination of lexemes-constituents narrowed the meaning of lexemes in such a combination, which affected the LANGUAGE POLICY conceptual metaphor.

Incorporation of Dry Edible Beans to a High-Fat Diet Does Not Affect Body Composition and Bone Structural Parameters in Obese Mice

Incorporation of Dry Edible Beans to a High-Fat Diet Does Not Affect Body Composition and Bone Structural Parameters in Obese Mice

Heat transfer simulation for re-design of tray dryer to reduce the energy consumption in the cocoa bean drying process

Abstract The tray dryer for the cocoa bean drying process is a solution to overcome conventional drying methods that rely on solar heat. The tray dryer is expected to facilitate the cocoa farmers to dry cocoa beans because it is faster and does not depend on weather conditions. However, even though the current condition of the tray dryer can reduce the energy consumption of drying cocoa beans (from Gunung Kidul, Yogyakarta, Indonesia) compared to the solar heat method, it remains unknown whether the cocoa beans drying quality is good enough. Therefore, this research analyzed the heat transfer phenomena of the cocoa drying process using the computational simulation method to re-design the current tray dryer design so that the new design can fit the drying characteristic of the cocoa bean and reduce energy consumption. As a result, for the air velocity of 25.91 m/s and the ½ opening of the gas valve in 10 minutes, which is already at steady-state conditions, the temperature distribution in the existing tray dryer is not suitable with the characteristics of the cocoa beans drying process. The temperature can be increased by reducing the airflow velocity or increasing the heating value by opening the valve. However, with a new design, the temperature can be increased by up to 37.00% at a velocity of 25.91 m/s with a ½ gas valve opening. Furthermore, the new design can achieve the same conditions as the existing design by only using an opening for a 1/8 gas valve. Thus, using the new design, the tray dryer can achieve the drying characteristics of cocoa beans and reduce energy consumption.

Enhancing the Iron Nutrition of Beans: Utilizing the Slow and Non-Darkening Traits to Reduce Proanthocyanidins in Multiple Market Classes of Dry Beans

Enhancing the Iron Nutrition of Beans: Utilizing the Slow and Non-Darkening Traits to Reduce Proanthocyanidins in Multiple Market Classes of Dry Beans

CONCEPTUAL “HEART” METAPHORS IN AMERICAN MOMMY BLOGS

Based on the Conceptual Metaphor Theory (CMT), this study investigates the use and conceptualization of “heart” metaphors in the self-built corpus of 500 American mommy blog posts in 2021-2022 using some corpus tools namely word sketch and concordance lines. The study aims at exploring the different ways of conceptualizing the metaphorical expressions and the frequency of each category of “heart” metaphor. The results show that HEART IS AN OBJECT is the most common metaphor in the mommy blog corpus, followed by HEART IS A CONTAINER and HEART IS A PERSON.

Evaluating the effect of manual hoeing and chemical weed management practices on the productivity and profitability of dry bean (Phaseolus vulgaris L.) in the south-eastern zone of the DR Congo

Evaluating the effect of manual hoeing and chemical weed management practices on the productivity and profitability of dry bean (Phaseolus vulgaris L.) in the south-eastern zone of the DR Congo

Fatty Acids in Dry Beans (Phaseolus vulgaris L.): A Contribution to Their Analysis and the Characterization of a Diversity Panel.

Dry bean (Phaseolus vulgaris L.) is a crop of high nutritional interest widespread throughout the world. This research had two objectives. On the one hand, the development and validation of an analytical method to quantify fatty acids in dry beans based on the extraction and derivatization in a single step and later quantification by gas chromatography. On the other, its application to characterize the fatty acid content in a diversity panel consisting of 172 lines. The method was successfully validated in terms of accuracy, precision and robustness. Among the 14 fatty acids that constitute the fatty acid profile of dry bean, the most quantitatively important were linolenic acid, the major fatty acid in all cases, with an average value of 6.7 mg/g, followed by linoleic acid (3.9 mg/g), palmitic acid (2.9 mg/g) and oleic acid (1.5 mg/g). The concentrations of fatty acids in dry bean were influenced by the gene pool, with the Mesoamerican gene pool showing a higher content of palmitic, stearic, linoleic and linolenic acids and the Andean gene pool a higher level of cis-vaccenic acid. Also, the expression of fatty acid content showed high heritability. The information generated constitutes a robust database of interest in food technology, nutrition and breeding programs.

Optimizing Split-reduced drip fertigation schemes of Arabica coffee based on soil microcosms, bean yield, quality and flavor in dry-hot region of southwest China

As a characteristic cash crop in Yunnan Province, China, Arabica coffee ranks first in the country in terms of cultivation area and production, but has always suffered from poor soil nutrient management and a lack of scientific basis for fertilization. It is not clear how to improve the soil microecological environment using split-reduced drip fertigation at different reproductive stages of Arabica coffee to improve bean yield and quality. Therefore, a two-year (2020–2022) field experiment was conducted on 5-year-old Arabica coffee trees in a dry-hot region with five split-drip fertigation patterns, F450, F600, F750, F900 and F1050. Using the local conventional fertilization (Fertilizer of 900 kg ha−1 year−1 only in berry expansion, and no fertilization in early flowering and berry ripening) as the control (CK). The effects of different fertilization modes on soil microecological environment, bean yield, nutritional quality and characteristic flavor were studied, and a comprehensive benefit evaluation model to assess bean yield and nutritional quality under different fertilization modes was established. The results showed that F900 significantly increased soil nitrate nitrogen, available phosphorus, available potassium, microbial population and enzyme activities at early flowering and berry ripening stages compared to CK, while F900 reduced soil nitrate nitrogen, available phosphorus and available potassium but increased soil enzyme activity and microbial population at the berry expansion stage. Compared with CK, F450 decreased bean yield, caffeine and chlorogenic acid content by 31.83 %, 23.73 % and 13.48 %, respectively, while F750 increased two-year average yield, raw bean fat, caffeine and chlorogenic acid content by 20.52 %, 12.37 %, 5.48 % and 11.17 %, respectively. The two-year average yield of F600 showed less difference from CK. Marginal yield was positive and then negative with increasing fertilizer application. Dry bean yield decreased at a total fertilizer application of 900 kg ha−1 year−1. Correlation analyses showed a positive correlation between soil microbial environment and nutrient quality of coffee beans, while different correlations were found between nutrients and volatiles at dark and medium roasting levels. Cluster analysis revealed that the relative contents of aldehydes, alcohols, phenols, pyridines, and pyrroles were higher under dark roasted condition, while the relative contents of ketones, esters, acids, and pyrazines were higher under medium roasted condition. Based on the Entropy weight-TOPSIS method, F750 had the highest combined benefits in terms of yield increase and quality improvement, and the total fertilizer application decreased by 16.67 % compared to CK, thus F750 treatment was the most suitable split-drip fertigation strategy for Arabica coffee in the dry-hot region of Yunnan. This study provided a reference for drip fertigation systems of Arabica coffee in dry and hot regions.

The identification of yield components, genetic variability, and heritability to determine the superior cocoa trees in West Papua, Indonesia

Abstract. Suparno A, Arbianto MA, Prabawardani S, Chadikun P, Tata H, Luhulima FDN. 2024. The identification of yield components, genetic variability, and heritability to determine the superior cocoa trees in West Papua, Indonesia. Biodiversitas 25: 2363-2373. One of the obstacles to increasing the productivity of cocoa is the existence of superior cocoa clones. This research, therefore, was carried out to select the superior cocoa tree candidates from the existing cocoa plantation populations over 30 years old, using a descriptive method on the yield components of superior cocoa candidates in PT. Cokran Cocoa Plantation, South Manokwari. This research was conducted from May 2020 to May 2022. The initial information on 32 superior cocoa trees was obtained from the farmers who were involved and worked at the PT. Cokran Cocoa Plantation for 30 years. Cocoa was planted on an area of 1,680 ha with a spacing of 2 x 4 m. Data on the 13 quantitative characters of the cocoa pod and cocoa beans were analyzed using ANOVA (SAS V.9 For Window). These 13 quantitative data, including 11 qualitative data of leaves and fruit were used to analyze the relationship of kinship pattern among the accessions using NTSys ver. 2.1. Results of the research show that 8 cocoa accessions had a high production potential of more than 6,000 g per tree annually, namely CKR-02, CKR-03, CKR-04, CKR-09, CKR-12, CKR-26, CKR-28, and CKR-41 accessions. Accessions that produced 1,000 g of dry cocoa beans in less than 20 pods were CKR-03, CKR-04, CKR-07, CKR-09, CKR-12, CKR-15, CKR-22, CKR-26, CKR-40, and CKR-41. Candidate cocoa clones that have the potency to produce dry cocoa beans with grade AA quality were CKR-03, CKR-04, CKR-12, CKR-26, CKR-40, and CKR-41. Wide phenotypic and genotypic coefficients of variations were found among the 32 accessions. High heritability was produced by pod length, pod girth, pod fresh mass, seed number/pod, seed fresh mass, and seed dry mass. The cluster analysis showed a wide morphological diversity of the 32 cocoa accession candidates based on the yield component characters.

A new distance measure between two basic probability assignments based on penalty coefficient

Uncertainty information processing is a challenging topic in information science. Dempster-Shafer evidence theory shows excellent performance when dealing with uncertainty in information representation, fusion, and processing. The measurement of the distance between the basic probability assignments (BPA) in Dempster-Shafer evidence theory is a powerful tool that deals with uncertainty in evidential information processing. Most of the existing methods are based on the difference in the assessment of evidential degree for different hypotheses, with a notable example Belief-Jensen-Shannon (BJS) divergence. However, these methods ignore the information that is carried by different units in the power sets that represent the hypotheses, i.e., the difference on the hypotheses themselves that include in the evidential degree assessment of different BPA should be considered in the distance measurement. Therefore, in this paper, a novel method grounded in BJS divergence and incorporating a penalty coefficient to rectify the distance between basic probability assignments is proposed. This methodology showcases commendable properties, including symmetry, boundedness, and adherence to the triangle inequality. To demonstrate the efficiency of the proposed distance measurement method between BPAs, we apply it to two common-used machine learning data sets: Iris data set and Dry Beans data set. Compared to the represented existing evidence distance measurement approaches, the proposed method yields superior performance in both data sets with respect to classification accuracy.

Variability in the pod and bean characteristics and their relationship with leaf nutrient content in cocoa (Theobroma cacao L.)

Theobroma cacao L., cocoa, produces fruits throughout the year with one or two peaks. The relationship between pod or bean characteristics and leaf nutrient status in cocoa genotypes grown in the humid tropics of India is not well documented. Our investigation found notable differences amongst twenty genotypes of cocoa for pod weight, husk weight, bean count, fresh bean weight pod, single dry bean weight, nib recovery, and shell percentage. Single dry bean weight is an important parameter of the cocoa beans for the industry, and it was significantly associated with the husk weight, pod weight, and nib recovery. The weight of the dry bean was found to be higher in pods with higher pod weight and husk weight. However, it decreased significantly with increased bean count per pod. Higher nib recovery is another important industry trait and was closely associated with single dry bean weight. Pearson’s correlation coefficients indicated pod and bean characteristics in different genotypes had no significant association with leaf nutrient status. Even, the nutrient ratios had no tangible influence on the pod/bean traits, except for K/P and Ca/B, which had significant associations with the husk weight and pod count per tree, respectively.

Effect of sowing dates, natural bio-stimulants, and micro-nutrients on the growth and seed yield of dry bean (Phaseolus vulgaris L.) under semi-arid conditions

Effect of sowing dates, natural bio-stimulants, and micro-nutrients on the growth and seed yield of dry bean (Phaseolus vulgaris L.) under semi-arid conditions

Effect of Different Spacing Levels on Yield and Yield Contributing Characters in Cocoa (Theobroma cacao L.)

The experiment titled "Effect of different spacing levels on yield and yield contributing characters in cocoa" was conducted at the Coconut Farm of the Horticultural College and Research Institute, Tamil Nadu Agricultural University, Coimbatore. Utilizing a Randomized Block Design (RBD) with eight treatments replicated three times, the study aimed to investigate the impact of spacing levels on cocoa yield traits. The treatments involved in the experiment included a double row of cocoa planted between two rows of coconut trees, with spacing configurations as follows: T1 (3m x 1.2m), T2 (3m x 2m), T3 (3m x 2.5m), and T4 (3m x 3m). Additionally, a single row of cocoa between two coconut rows was examined, with spacings represented by T5 (1.5m), T6 (2m), T7 (2.5m), and T8 (3m). Results revealed significant variations among spacing treatments, with cocoa at 3m spacing demonstrating the highest productivity, yielding 43.47 pods per tree and 1021.48 g of dry beans per tree. Noteworthy findings included T1 (3m x 1.2m) exhibiting the longest pods (16.64 cm), T6 (2m) the widest pod girth (21.67 cm), and T8 (3m) producing the heaviest pods (204.50 g). Additionally, T6 yielded the highest total beans per pod (37.34) and dry bean weight (25.44 g), T4 had the heaviest single fresh bean (1.63 g), and T2 demonstrated the highest single dry bean weight (0.70 g). These findings offer valuable insights for optimizing cocoa cultivation practices, emphasizing the importance of spacing configurations in maximizing yield and bean characteristics.

Anthracnose and bean common mosaic necrosis virus resistance in wild and landrace Phaseolus vulgaris (L.) genetic stocks

AbstractWild crop germplasm and landrace varieties have long been considered as a source of novel genetic variation for improving domesticated crops. Due to genetic bottlenecks that occurred during domestication, dissemination, and subsequent crop improvement, many beneficial genes are absent from commercial varieties and elite breeding germplasm, yet are still present in wild populations. To catalog potential novel disease resistance genes useful for breeding more resilient dry beans, we screened wild and landrace Phaseolus vulgaris L. accessions archived in the USDA GRIN seed bank for untapped resistance to anthracnose (Colletotrichum lindemuthianum) and bean common mosaic necrosis virus (BCMNV). A population of 194 wild and 55 landrace accessions were screened for resistance to two highly virulent races of anthracnose (race 2047 and race 3481) and for resistance to the BCMNV strain NL‐3. Thirteen accessions, all wild, were resistant to both anthracnose races, with MX‐QT‐3 and PI 661812 displaying complete resistance with no disease symptoms across all replications. Surprisingly, no natural resistance to BCMNV strain NL‐3 was detected in the wild germplasm. PI 442541, PI 661891, and W6 10164 were the only three accessions that expressed the I‐gene phenotype and all three have some history of cultivation. This study provides a resource for introgression of genetic diversity for anthracnose resistance into cultivated beans and reveals that innate resistance to BCMNV may not exist in wild populations of P. vulgaris.

Crop safety and control of acetolactate synthase inhibitor-resistant Palmer amaranth (Amaranthus palmeri) with very long-chain fatty acid-inhibiting herbicides in dry edible bean

Palmer amaranth is a relatively recent arrival in Western Nebraska, where acetolactate synthase (ALS)-inhibitor-resistant biotypes are common in the region. With limited effective postemergence (POST) herbicides for controlling ALS-inhibitor-resistant Palmer amaranth in dry edible bean, a sequential preemergence (PRE) followed by (fb) POST program of very long-chain fatty acid (VLCFA)-inhibiting herbicides shows promise. Currently, dimethenamid-P is the only VLCFA-inhibiting herbicide registered for POST use in dry edible bean in Nebraska. The objective of this study was to assess the crop safety and effectiveness in weed control of sequential PRE fb POST programs, including pendimethalin + dimethenamid-P applied PRE fb dimethenamid-P POST, pendimethalin + S-metolachlor PRE fb S-metolachlor POST, and pendimethalin + pyroxasulfone PRE fb POST, in comparison with pendimethalin + dimethenamid-P applied PRE fb imazamox + bentazon + fomesafen applied POST in dry edible bean. Results showed that sequential PRE fb POST programs were more effective in reducing both the density and biomass of Palmer amaranth compared to PRE-alone programs. Pendimethalin + dimethenamid-P applied PRE fb dimethenamid-P POST, along with pendimethalin + S-metolachlor PRE fb S-metolachlor POST, resulted in over 85% control of Palmer amaranth, similar to the effectiveness of pendimethalin + dimethenamid-P PRE fb fomesafen + imazamox + bentazon applied POST. Pendimethalin + pyroxasulfone applied PRE-alone and the application of pendimethalin + pyroxasulfone PRE fb pyroxasulfone POST showed inconsistent control of Palmer amaranth, causing high crop injury, stand loss, and delayed maturity, ultimately leading to yield loss. Dimethenamid-P and S-metolachlor demonstrated excellent crop safety when applied either PRE-only or sequentially. Pendimethalin + S-metolachlor PRE fb S-metolachlor POST provided control of Palmer amaranth comparable to that achieved with POST applications of dimethenamid-P and imazamox + bentazon + fomesafen.

Investigating the interfacial and bulk rheological properties of emulsions containing dry bean powder

This study aimed to investigate the impact of varying proportions of dry bean powder on the rheological properties of oil-in-water emulsions. Emulsions were formulated utilizing xanthan gum or dry bean powder across a range of concentrations, including 1%, 3%, 5%, and 7%. Additionally, a control emulsion (CTR) was formulated using xanthan gum exclusively. The rheological properties of the resulting emulsions, both linear and nonlinear, were characterized. Moreover, the correlation between microstructural attributes and the interfacial rheological response within these emulsion systems was thoroughly examined. A prominent observation was the occurrence of shear thinning, characterized by a reduction in viscosity under applied shear stress. Notably, the control emulsion (CTR) displayed the lowest interfacial viscosity values, whereas emulsions incorporating increasing proportions of dry bean powder demonstrated a proportional rise in interfacial viscosity. The highest consistency coefficient and apparent viscosity was recorded in the 7%DB sample with a value of 3.23 Pa.sn and 0.56 Pa.s, respectively. This suggests that emulsions formulated with dry bean powder may yield a more resilient interfacial film, attributed to the protein content inherent in dry beans. The establishment of a viscoelastic interfacial layer facilitated by dry bean powder in appropriate concentrations significantly contributes to the long-term stability of the emulsion. Unraveling the intricate relationship between interfacial behaviors holds paramount importance in advocating for the utilization of dry bean powder as a plant-based protein source. In conclusion, the incorporation of dry bean powder enhances the formation of interfacial films in O/W emulsions.