Univariate and Multivariate Approaches in the Characterization of Lima Bean Genotypes

Brito, Marilha Vieira de; Silva, Verônica Brito da; Filho, Carlos Humberto Aires Matos; Ferreira-Gomes, Regina Lucia; Lopes, Ângela Celis de Almeida

doi:10.1590/1983-21252020v33n230rc

Cited by 9 publications

(8 citation statements)

References 13 publications

(13 reference statements)

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“…Previous studies have revealed that the use of multivariate methods is important to estimate the diversity of lima bean germplasm (GONÇALVES et al, 2019;BRITO et al, 2020). Brito et al (2020) used morphoagronomic traits to characterize eleven genotypes of lima bean from Ceará state, Northeastern Brazil, and found five clusters by using UPGMA method. Earlier, Gonçalves et al (2019) evaluated eight lima bean genotypes and found three divergent groups.…”

Section: Resultsmentioning

confidence: 99%

“…UPGMA cluster analysis determined by Sneath and Sokal (1973) seeks to genetically discriminate individuals and allows them to be separated into groups by analyzing a set of characteristics inherent to each individual, so that there is homogeneity within the group and heterogeneity between groups (ROSA et al, 2019). Studies using the UPGMA method were carried out to identify variability among accessions of lima beans (GUIMARÃES et al, 2007;BRITO et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Selection of Superior Genotypes of Lima Bean Landraces by Multivariate Approach

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The knowledge of genetic diversity in plant population is essential to the success of plant breeding programs. Thus, previous characterization of landraces is one of the first steps before the indication of genotypes to these plant breeding programs. This study aimed to characterize, through morphological traits, and estimate the genetic diversity in landraces of lima bean (Phaseolus lunatus L.). Genetic diversity was estimated by using multivariate methods that selected individual landraces to be indicated for farmers and consumers. According to morphological traits proposed by Biodiversity International, the genotypes UFPI-667 and UFPI- 682 showed higher dissimilarity and high potential to be used in crosses since they are genetically distant and complementary. The principal component analysis identified positive and significant phenotypic associations between variables: pod length, pod width, and grain production. According to the multivariate methods used, the landraces UFPI-666, UFPI-650, UFPI-651, UFPI-687, UFPI-658, UFPI-673, UFPI-667, and UFPI-674 are potential candidates for selection since they have relevant features for lima bean breeding, such as shorter cycles and higher grain production. This study showed that multivariate analysis can be used as an effective tool to find potential traits in lima bean and can assist the lima bean breeders in the selection of potential landraces. Accessions UFPI-667 and UFPI-682 can be indicated as genitors for breeding programs, as they are genetically distant and complementary in their characteristics.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Selection of Superior Genotypes of Lima Bean Landraces by Multivariate Approach

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“…Lima bean (Phaseolus lunatus L.), from the Fabaceae family and native to Central America, is widely distributed in South America, whose cultivation has been intensifying in recent years (Brito, Silva, Matos, Ferreira-Gomes, & Lopes 2020). In Brazil, the main producing region is the Northeast, with 20,196 ha, which has the state of Paraíba as the largest producer, where its cultivation has been highlighted in the Agreste region, with greater production (Instituto Brasileiro de Geografia e Estatística [IBGE], 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Such as the common bean, the lima bean is characterized by the great variety diversities, depending on the place of cultivation, origin, environmental and climatic conditions (Crépon et al, 2010;Brito et al, 2020). Among the main varieties in the Northeast, Orelha de Vó stands out for its Semina: Ciênc.…”

Section: Introductionmentioning

confidence: 99%

Cyanide content, nutritional quality, and sensory acceptance of raw and cooked lima bean grain varieties

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Semina: Ciênc. Agrár.

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The Phaseolus lunatus L. (lima bean) is a species of the Fabaceae family widely cultivated in the Northeast region of Brazil and is an important source of nutrients for the population. The lima bean has high genetic variability, which results in many cultivated varieties. However, there is little information about the cyanide levels, nutritional quality and sensory acceptance of these varieties, as well as about the changes caused by the cooking process, especially with regard to free cyanide contents. Therefore, the objective of this work was to evaluate the cyanide contents, nutritional quality and sensory attributes of lima bean varieties. Potential and free cyanide levels, quality attributes and a Qualitative Descriptive Analysis (QDA) were evaluated in raw and cooked grains. The study was carried out in a completely randomized design, with five lima bean varieties (Orelha de Vó, Branca, Roxinha, Rosinha, and Cearense), in 4 replications. Relatively to the raw ones, cooked grains presented larger size and smaller contents of ash, proteins, carbohydrates, potential cyanide and free cyanide, in the studied varieties. The Orelha de Vó lima bean showed higher mass of raw and higher firmness of cooked grains, which was judged to have the bitterest flavor among the others but showed safe levels of free cyanide after cooking. When cooked, Branca lima bean had a greater intention of purchase and global acceptance, due to its greater intensity of characteristic aroma and lower residual bitter taste.

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“…Considering the socioeconomic importance of the Lima bean and the fact that high temperatures during flowering and pod development stages result in lower yields in corelated species (BRITO et al, 2020;MORAES, 2017), there is a need to select superior genotypes that can be used in crosses to obtain high-yielding and high-temperature tolerant cultivars. Under these conditions, the use of multivariate algorithms is an excellent strategy to quantify dissimilarity between individuals based on morphoagronomic and phenological traits.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Lima Bean Accessions at High Temperatures

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- Lima bean (Phaseolus lunatus L.) develops at an optimal temperature in the range of 20-30°C, temperatures above 30-35°C compromise the photosynthetic efficiency of the crop. Considering the importance of lima bean cultivation, the objective of this study was to carry out a morphoagronomic and phenological characterization of 46 lima bean accessions tolerant to high temperatures from the core collection of lima bean at the Universidade Federal do Piauí. The experiment was conducted from February to July 2021 in a completely randomized block design with four replications, where the plot consisted of a pot with two plants. Genotype characterization was performed based on 20 morphoagronomic and phenological descriptors of lima bean. Based on Pearson's correlation, the number of emitted and aborted flowers had a greater genetic correlation with the total number of seeds and pods produced. Pod length and width were positively correlated with seed thickness, length, and width. Five groups were formed based on UPGMA grouping. It was observed that the UFPI-922 and UFPI-945 accessions had a higher performance under high-temperature conditions in relation to the number of flowers and pods emitted, as well as lower values for the number of aborted pods. The accessions UFPI-1037, UFPI-876, UFPI-1036, UFPI-1028, UFPI-1052, UFPI-1064, UFPI-1038, and UFPI-1062 are promising for precocity, productivity, emission of flowers and pods formed, and can be used in breeding programs.

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Univariate and Multivariate Approaches in the Characterization of Lima Bean Genotypes

Cited by 9 publications

References 13 publications

Selection of Superior Genotypes of Lima Bean Landraces by Multivariate Approach

Selection of Superior Genotypes of Lima Bean Landraces by Multivariate Approach

Cyanide content, nutritional quality, and sensory acceptance of raw and cooked lima bean grain varieties

Evaluation of Lima Bean Accessions at High Temperatures

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