Loss of pod strings in common bean is associated with gene duplication, retrotransposon insertion, and overexpression of PvIND

Regulation of fruit development has been central in the evolution and domestication of flowering plants. In common bean (Phaseolus vulgaris L.), a major global staple crop, the two main economic categories are distinguished by differences in fiber deposition in pods: a)dry beans with fibrous and stringy pods; and b) stringless snap/green beans withreduced fiber deposition, but which frequently revert to the ancestral stringy state. To better understand control of this important trait, we first characterized developmental patterns of gene expression in four phenotypically diverse varieties. Then, using isogenic stringless/revertant pairs of six snap bean varieties, we identified strong overexpression of the common bean ortholog of INDEHISCENT (PvIND) in non-stringy types compared to their string-producing counterparts. Microscopy of these pairs indicates that PvIND overexpression is associated with overspecification of weak dehiscence zone cells throughout the entire pod vascular sheath. No differences in PvIND DNA methylation were correlated with pod string phenotype. Sequencing of a 500 kb region surrounding PvIND in the stringless snap bean cultivar Hystyle revealed that PvIND had been duplicated into two tandem repeats, and that a Ty1-copia retrotransposon was inserted between these tandem repeats, possibly driving PvIND overexpression. Further sequencing of stringless/revertant isogenic pairs and diverse materials indicated that these sequence features had been uniformly lost in revertant types and were strongly predictive of pod phenotype, supporting their role in PvIND overexpression and pod string phenotype.

Zinc sulphate or zinc nanoparticle applications to leaves of green beans

The green bean (Phaseolus vulgaris L.) is a very widely grown food crop that contributes significantly to human dietary needs in many countries due to its high content of protein. This study evaluates foliar applications of ZnSO4 versus that of zinc oxide nanoparticles (ZnO NPs) to leaves of the green bean cv. ‘Strike’ and records the plant responses in terms of Zn uptake and concentrations of photosynthetic pigments and bioactive compounds. The experiment was conducted under greenhouse conditions in Chihuahua, Mexico, with a completely randomised experimental design with 10 replicates. The two treatments were foliar applications of either an aqueous solution of ZnSO4 or an aqueous suspension of ZnO NPs (both 150 mg · L−1). The application of ZnO NPs significantly increased concentrations of Zn2+ in the leaflets, roots, stems and pods of chlorophylls a and b (values 15.40 μg · g−1 and 11.64 μg · g−1, respectively). Sucrose concentration was also increased by Zn2+ applications, but no differences were found in total phenols (TP), total flavonoids (TFl) or antioxidant capacity (AC). In the pods and seeds, Zn2+ application left sucrose and TFl concentrations unchanged, but the TP increase was significant. The AC was affected by both zinc sources and only in the pods. The applications of ZnSO4 or ZnO NPs significantly increased the biomass accumulation (79.10 g · p−1 and 84.70 g · p−1 DW) and yield (55.64 g · p−1 and 53.80 g · p−1 FW). These results suggest that the application of ZnO NPs could represent a worthwhile biofortification strategy in the commercial production of green bean cv. ‘Strike’.

Temporal Change in Iron Content of Vegetables and Legumes in Australia: A Scoping Review

Studies in UK and US have reported a temporal decline in the iron content of plant-based foods. Limited research on this topic has been conducted in Australia. The aim of this scoping review was to provide a comprehensive evaluation on the temporal change in iron content of Australian vegetables and legumes from 1900 onward. A systematic search of electronic databases, websites, backward reference searching, and Australian food composition tables was conducted. A total of 34 articles and six versions of Australian food composition databases published between 1930s to 2021, were included in this review. Overall, iron content of vegetables and legumes were assessed at limited time points and geographical origin, cultivars, sampling and analytical techniques varied across studies. The majority of vegetables had similar iron content between two or more timepoints but decreases of 30–50% were noted for sweet corn, red-skinned potatoes, cauliflower and green beans while increases of 150–300% were seen for Hass avocadoes, mushrooms and silverbeet. More pronounced reductions in iron content were observed for legumes, with higher and more variable values reported pre-2000 compared to recent years. Due to limited data and variations in sampling and analytical techniques, no definitive conclusions could be established. As plant-based diets are becoming more popular, consistent monitoring of the nutrient composition of staple plant-based foods is strongly recommended.

Effect of Different Mulching Materials on the Growth and Yield of Green Bean (Phaseolus vulgaris L.) in Nfonta the Western Highlands of Cameroon

Mulching is a common technique used across the world by farmers to especially conserve soil moisture in vegetable production but farmers in Nfonta and the entire western highlands of Cameroon have not practiced the uses of mulching. In this experiment, a randomized complete block designe with 5 treatments and 3 replications was set up to study the effect of elephant grass, saw dust and white plastic as mulching materials on the growth and yield of green bean (Phaseolusvulgaris L.) in Nfonta. Data was collected on plant height; number of leaves per plants, leaf area index and yield of mature pods per plant. Data was analyzed using one way ANOVA from stat graphics centurion xv and means were separation using the Fischer least significant difference (LSD) test at 95% confidence interval. Results showed white plastic, and elephant grass mulches to have significantly (P<0.05) affected the growth and yield of green bean. White plastic mulched plants exhibited the highest growth parameters and subsequently produced the highest yield of 12.00 mature pods per plant with average pod length of 11.97cm and average mature pod weight of 4.22g compared to the other mulch treatments. There were no significant (P>0.05) differences in yield of green bean grown with no mulch (control), saw dust mulch and corn stalk mulch. Corn stalk mulched bean plants produced the lowest yield of 7.83 mature pods per plant with average pod length of 9.17cm and an average mature pod weight of 2.83 which was not much different from that produced by the control. These results call for more investigations to the potentials of white plastic as best mulch material for achieving optimum green beans yield in Nfonta and the entire western highlands of Cameroon.

Pengaruh Pemberian Sari Kacang Hijau dan Tablet Tambah Darah terhadap Peningkatan Kadar Hemoglobin pada Remaja Putri

Introduction: The incidence of anemia in women is 27.2% higher than men, 20.3%, mostly in the age group 15-24 years. The decrease in hemoglobin levels is caused by low intake of iron and other nutrients as well as the menstrual process. The coverage of giving blood tablets in Sigi Regency in 2019 was 81.25%. The purpose of this study was to determine the effect of giving green bean juice and blood-added tablets to increase hemoglobin levels in adolescent girls. Methods: Quasi-experimental research method with pretest-posttest control group design method. The population is young women aged 12 to 16 years with a total of 32 respondents. The research was conducted in the working area of ​​the Kinovaro Health Center. Results: The results of Hb levels in adolescent girls after being given the intervention of mung bean juice and added tablets are 2 g/dl with a p-value of 0.022, which means that there is a significant difference before and after giving green bean juice and blood-added tablets to the increase in hemoglobin levels of adolescent girls. Conclusion: Giving mung bean juice and blood-added tablets had a significant effect on increasing hemoglobin levels in adolescent girls. Suggestions are giving green beans and blood-added tablets once a week is very beneficial for young women in overcoming anemia.

Deep Learning to Detect and Classify the Purity Level of Luwak Coffee Green Beans

Luwak coffee (palm civet coffee) is known as one of the most expensive coffee in the world. In order to lower production costs, Indonesian producers and retailers often mix high-priced Luwak coffee with regular coffee green beans. However, the absence of tools and methods to classify Luwak coffee counterfeiting makes the sensing method’s development urgent. The research aimed to detect and classify Luwak coffee green beans purity into the following purity categories, very low (0-25%), low (25-50%), medium (50-75%), and high (75-100%). The classifying method relied on a low-cost commercial visible light camera and the deep learning model method. Then, the research also compared the performance of four pre-trained convolutional neural network (CNN) models consisting of SqueezeNet, GoogLeNet, ResNet-50, and AlexNet. At the same time, the sensitivity analysis was performed by setting the CNN parameters such as optimization technique (SGDm, Adam, RMSProp) and the initial learning rate (0.00005 and 0.0001). The training and validation result obtained the GoogLeNet as the best CNN model with optimizer type Adam and learning rate 0.0001, which resulted in 89.65% accuracy. Furthermore, the testing process using confusion matrix from different sample data obtained the best CNN model using ResNet-50 with optimizer type RMSProp and learning rate 0.0001, providing an accuracy average of up to 85.00%. Later, the CNN model can be used to establish a real-time, non-destructive, rapid, and precise purity detection system.

Detection roasting level of Lintong coffee beans by using euclidean distance

Coffee roasting is the process by which raw coffee beans (green beans) are roasted until they reach a certain roast level. In general, the roast level of roasted coffee beans is divided into 3 levels, namely the roast level of light, medium and dark. One way to find out the roast level of roasted coffee beans is to see the color change of the coffee beans. However, it is very difficult to know the exact color conditions of each roast level of roasted coffee beans and this can be overcome by build an automatic coffee roasting equipment. In this research, an automatic coffee roaster was done with a system that is able to control the roasting temperature and stirring of coffee beans. This tool can also monitor the change in color of the coffee beans during the roasting process. The system that has been implemented can detect color changes and classify the level of dark roast of roasted coffee beans using the Euclidean distance algorithm. The Euclidean distance give a threshold to classified the roast level. The system accuracy for predicting coffee beans color at the level of dark roast is 90% and 80% for overall.

Pengaruh pemberian minuman campuran daun katuk, daun pepaya, dan kacang hijau terhadap produksi ASI dan berat badan bayi mencit

Foodstuffs rich in lactogogum are very useful in increasing milk production, especially in postpartum mothers. This study studied the effect of a mixed drink of katuk leaves, papaya leaves, and green beans on increasing breast milk production and weight growth of baby mice. This type of research is an experimental RAL with four treatments and three repetitions on female mice of the DDY strain aged 2,5–3 months, a total of 32 mice with six mice each. Mice were divided into four groups, two treatment groups and two control groups. Its treatment for 12 days postpartum. Data analysis used ANOVA and continued with the Duncan test at a 5% confidence interval. The study results found that there was a significant difference in the average milk production of the mother mice in the four groups (p= 0,003); there was no difference in the average total weight gain of mice during the four groups (p= 0,187). In conclusion, giving a functional drink a mixture of katuk leaves, papaya leaves, and green beans has the same potential as commercial katuk leaf extract but has not increased breast milk production in mice. Suggestion, further research is needed to measure prolactin hormone levels and milk quality