Lima bean (Phaseolus lunatus L.) is the second most important socioeconomic species of the genus, consisting of a food alternative as green or mature beans. It is an income option for family farmers and the lack of superior varieties makes its recommendation difficult, considering the peculiar lima bean variability. Thus, aimed to select landraces of lima beans based on desirable agronomic traits, enabling their use in breeding programs and later recommendations to family farmers. Evaluation trials were carried out with 14 landraces of lima beans in the municipalities of São Domingos do Maranhão - MA, Teresina - PI, Bom Jesus - PI, and Tianguá - CE. The agronomic traits were evaluated: number of days until flowering, number of days until pod maturation, pod length, pod width, pod thickness, number of seeds per pod, 100-seed weight, and grain yield. The data were initially subjected to univariate analysis of variance to determine the genetic variability in different environments and, subsequently, to multivariate and cluster analyses. The evaluated landraces showed genetic divergence, not being grouped according to geographic origin, demonstrating the existence of similarity between germplasms of rural communities in neighboring states. The varieties Boca de Moça, Raio de Sol, and Fava Branca CE are the earliest; Boca de Moça, Rajada, and Raio de Sol presented the longest pods and largest seeds; and Boca de Moça, Rajada, and Mulatinha are the most productive. Therefore, it qualifies them for recommendation to family farmers and/or incorporation in lima bean breeding programs.

Most pepper plants can be classified as an ornamental potted plant (^{Rêgo & Rêgo, 2018}). In this market, the plant architecture and number of fruits are the main traits used as quality standard for commercialization. The expected ideotype for ornamental pepper plants includes: (i) harmony between the plant (plant height, canopy width and foliage position) and the pot size, (ii) showy, upright and colorful fruits, with a suitable number for each pot size and (iii) resistance to pests, diseases and ethylene (^{Rêgo & Rêgo, 2018}; ^{Veilling Holambra, 2018}).

Fava bean (Phaseolus lunatus L.) has great potential for the supply of vegetable protein, but its cultivation is still of little relevance when compared to common bean (Phaseolus vulgaris L.), being, in most cases, intercropped with other crops. The preservation of its genetic variability in germplasm banks, as well as the study of its genetic dissimilarity, has been helping in strategic design for improvement of the crop. The objective of this work was to characterize the genetic variability of morphoagronomic characters and to quantify the genetic dissimilarity among Fava bean accessions by multivariate analysis. Eight accessions from the Active Fava Bean Germplasm Bank of the Federal University of Piauí were evaluated through a randomized complete block design, with four replications, based on the number of days to maturation (NDM), mean pod length (CV), mean pod width (LV), mean pod thickness (EV), number of seeds per pod (NSV), weight of one hundred seeds (P100S) and productivity (PROD). Among the traits evaluated, only CV showed no genetic variability among the accessions. The analysis of divergence showed accessions UFPI 799 and UFPI 817 as the most divergent in relation to the others. The grouping method of Tocher and UPGMA allowed the formation of three groups. Singh's method indicated that LV, PROD and P100S contributed the most to the genetic divergence between the evaluated accessions. The accessions UFPI 817 and UFPI 797 can be used in crossings, as they are genetically distant and complementary in their characteristics.

The genus Capsicum has 38 reported species, all of them from the American continent, but only five are considered domesticated (C. annuum, C. chinense, C. frutescens, C. baccatum and C. pubescens). The species C. baccatum is represented by botanic varieties C. baccatum var. baccatum and C. baccatum var. pendulum. This last one is the most consumed in South and Southeast Regions of Brazil, being popularly known as dedo-de-moça (elongated fruit) or cambuci (campanulated fruit), respectively (^{Barboza et al., 2011}).

Anticipating the ornamental quality of plants is of significant importance for genetic breeding programs. This study investigated the potential of predicting and classifying whether ornamental pepper plants will exhibit desirable ornamental traits based on RGB images, comparing these results with an approach relying on morphological measurements. To achieve this, pepper plants from fifteen accessions were cultivated, and photographs were taken weekly throughout their growth cycle until fruit maturation. A Vision Transformer (ViT)-based model was employed to predict the suitability of the plants for ornamental purposes, and its predictions were validated against assessments conducted by eight experts. An XGBoost-based classifier was employed as well for estimations based on morphological measurements with an accuracy over 92%. The results showed that the ornamental suitability of plants can be accurately estimated and predicted up to seven weeks in advance from photos, with accuracy over 80%. Interestingly, higher-resolution RGB images did not significantly improve the accuracy of the ViT model. Furthermore, the estimation of ornamental potential using morphological measurements and RGB images yielded similar accuracy, indicating that a single photograph can effectively replace costly and time-consuming morphological measurements. As far as the authors are aware, this work is the first to forecast the ornamental potential of pepper plants (Capsicum spp.) multiple weeks ahead of time using image-based deep learning models.

Fruit colour diversity within different ripening stages confers ornamental value for pepper plants. Using images can be helpful in analysing the fruit colour‐related genetic diversity and enable selecting accessions for ornamental purposes by avoiding subjectiveness. This study aimed to evaluate the phenotypic diversity among accessions of ornamental pepper using image processing techniques to identify fruit colours. Photos from 40 fruits from each of 12 accessions were captured by a camera from a smartphone. Separate channels and colour indices were extracted from the images to analyse the accessions using both dendrogram and principal components analysis. Dendrogram analysis allowed separating accessions with predominance of dark fruits from those whose fruits showed lighter and more vivid colours, with a cophenetic correlation coefficient of 0.811. The VARI and NGRDI vegetation indices were efficient in discriminating fruits with a predominance of green colour, and the BGI could be used to discriminate accessions with predominantly reddish‐brown fruits. The proposed method can be used in small‐scale breeding programs for accurately assessing the development of varieties regarding their fruit colour diversity.