Morphoagronomic genetic diversity of Brazilian melon accessions based on fruit traits

Andrade, Isamire Silva; Melo, Cláusio Antônio Ferreira de; Nunes, Glauber Henrique de Sousa; Holanda, Ioná Santos Araújo; Grangeiro, Leílson Costa; Corrêa, Ronan Xavier

doi:10.1016/j.scienta.2018.09.006

Cited by 10 publications

(8 citation statements)

References 44 publications

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“…The data of analysis of variance showed significant differences among melon sub-accessions for all characteristics evaluated (Table 2), denoting the existence of genetic variability among sub-accessions. Similar results were found in previous studies on melon accessions from traditional agriculture (AMORIM et al, 2016;MACÊDO et al, 2017;ANDRADE et al, 2019), supporting those found in the present study and, therefore, denoting the possibility of selecting agronomically superior accessions for the characteristics analyzed (CRUZ; REGAZI; CARNEIRO, 2012). Means followed by same lowercase letter in the columns, or uppercase letter in the rows, are not statistically different from each other by the Scott Knott test at 5% significance.…”

Section: Resultssupporting

confidence: 93%

“…The high variability found among sub-accessions is partially due to existing differences among plants within each sub-accession. Studies on melon germplasm showed a high variation among accessions (DANTAS et al, 2012;ARAGÃO et al, 2013;TRIMECH et al, 2013;YILDIZ ;AKGUL;SENSOY, 2014;ANDRADE et al, 2019) and among plants within accessions (AMORIM et al, 2016;MACÊDO et al, 2017). 1 SV = source of variation; DF = degrees of freedom; EARL = earliness; FW = fruit weight; FD = fruit diameter; FL = fruit length; FCD = fruit cavity diameter; FCL = fruit cavity length;; PT = pulp thickness; SS = soluble solid contents (°Brix); PROL = prolificacy; G = genotype; E = environment; G×E = genotype-environment interaction; RES = residue; CV = coefficient of variation; Fmax = ratio between the highest and lowest residual mean square; **, * = significant at 1% and 5% significance, respectively; ns = not significant.…”

Section: Resultsmentioning

confidence: 99%

“…Previous studies using melon germplasm from family farming showed the existence of high variability among melon accessions (DANTAS et al, 2012;ARAGÃO et al, 2013;AMORIM et al, 2016;MACÊDO et al, 2017;ANDRADE et al, 2019). However, some important characters for the improvement of melon were not emphasized in these studies, mainly regarding characteristics of some botanical varieties (PITRAT; HANELT; HAMMER, 2000), which are believed to be important factors and, therefore, should be considered.…”

Section: Introductionmentioning

confidence: 98%

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Genetic parameters in melon sub-accessions from traditional agriculture

et al. 2023

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Family farming in Brazil holds a high diversity of melon germplasm, composing an important source of alleles for breeding programs. Thus, the objective of this study was to estimate genetic parameters and select genotypes from a population of melon sub-accessions from different botanical varieties grown by family farmers, based on morphological parameters. Two experiments were conducted, one in 2019 and another in 2020, in a complete randomized block design, with three replications and five plants per plot, using 27 melon sub-accessions (generation S2) from family farmers, and a commercial variety. Nine quantitative descriptors were evaluated. Assumptions of ANOVA were tested, followed by individual and joint analyses of variance. Significant differences were found among sub-accessions for all descriptors evaluated, with heritabilities higher than 83% and significant genotype-environment interactions for 88.8% of the characteristics evaluated. Thus, genetic variability was found among sub-accessions, with predominance of genetic effects over environmental effects, denoting the possibility to obtain genetic gains by the improvement of several characteristics of agronomic interest. The sub-accessions BGMEL66.0, BGMEL111.0, and BGMEL112.0 are recommended for inclusion in breeding programs focused on obtaining good prolificacy and small fruits with high soluble solid contents. BGMEL sub-accessions (108.3 and 108.5) can generate progenies with high prolificacy, and sub-accessions of the variety momordica can be used for generation of progenies focused on shortening the crop cycle and increasing fruit size.

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Section: Resultssupporting

confidence: 93%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Genetic parameters in melon sub-accessions from traditional agriculture

et al. 2023

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“…Generally, the germplasm collections with CV higher than 20% are considered to possess higher genetic diversity. 53 In this study, the CVs of the yield-related traits NGP, WGP, Y and BH were all greater than 20%, which is similar to the results of Joshi et al 54 The CVs were also distinguishable between the different environments, indicating that the genetic expression of these traits was also susceptible to environmental factors and had a strong selectivity for the environment. Correspondingly, the H 2 values were relatively low, especially for yield-related traits (NGP, WGP and Y), which indicated that the variability of these traits may be affected more by the environment than other traits.…”

Section: Effects Of Meteorological Factors On Phenotypic Traits Of Tartary Buckwheat Landracessupporting

confidence: 90%

Identifying the primary meteorological factors affecting the growth and development of Tartary buckwheat and a comprehensive landrace evaluation using a multi‐environment phenotypic investigation

Feng

Qu³

et al. 2021

J Sci Food Agric

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BACKGROUND: Tartary buckwheat (Fagopyrum tataricum) is a traditional edible and medicinal crop and has been praised as one of the green foods for humans in the 21st century. However, its production and promotion are restricted by the low yields of current varieties. The interaction of genotype and environment could lead to inconsistent phenotypic performance of genotypes across different environments. Climate change has intensified these effects and poses a substantial threat to crop production.RESULTS: In the present study, the effects of meteorological factors on the phenotypic traits of 200 Tartary buckwheat landraces across four macro-environments were investigated. Overall, the phenotypic performance of these Tartary buckwheat landraces was markedly varied across the different environments. Also, the average daily temperature and precipitation had relatively higher impacts on phenotypic performance. The results also revealed the negative impacts of relative humidity on the yield-related traits. Twenty-five Tartary buckwheat landraces were ultimately identified as having good overall phenotypic performance and high yield stability.CONCLUSION: Understanding the impacts of meteorological factors on the phenotypic performance of crops can guide appropriate measures and facilitate germplasm selection for yield enhancement in the context of climate change. The landraces selected comprehensively in this study could be used as parents or intermediate materials for breeding high-quality Tartary buckwheat varieties in the future. The methods used could also be extended to other crops for breeding and germplasm innovation.

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“…Currently, no studies have yet reported genetic divergence in Amazon chicory, which makes the genetic basis of this crop little explored. This assessment is important for the development of genetic breeding programs, since the characterization of plant morphology, as well as the quantification of genetic variability, are important premises in breeding programs when the selection of groups for interbreeding is intended (Andrade et al 2019). In this context, we aimed to evaluate the genetic divergence among Amazon chicory creole genotypes based on morpho-agronomic characteristics.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity in creole genotypes of Amazon chicory

et al. 2022

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Amazon chicory is still a little-known vegetable despite its great agronomic potential. The characterization of chicory genotypes concerning genetic divergence is a key step for breeding programs, as it allows the selection of superior individuals and to explore the variability and complementarity of characteristics via interbreeding between newly generated genotypes. In this context, this study aimed to evaluate the genetic divergence among Amazon chicory creole genotypes from the northern Brazilian states of Pará and Rondônia based on morpho-agronomic traits. We conducted an experiment in a randomized block design with eight chicory genotypes (treatments) and four replications. Both quantitative and qualitative characteristics were evaluated. Genetic divergence was estimated via squared generalized Mahalanobis distance (D2), considering only quantitative characters, and the genotypes were subsequently clustered via the UPGMA method. Analysis of variance showed significant differences among genotypes for all studied characteristics, except shoot fresh weight. The UPGMA grouped the genotypes into three clusters, which demonstrated that the genotypes from Colares and Santarém Novo (Pará) (Chic-02 and Chic-04) were the most divergent as compared to the genotypes from Castanhal and Santa Isabel do Pará (Pará). Qualitative characteristics showed a monomorphic behavior and, therefore, were not used to assess genetic divergences. To obtain segregating populations with complementary characteristics, crossbreeding between the two most divergent clusters is recommended.

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Morphoagronomic genetic diversity of Brazilian melon accessions based on fruit traits

Cited by 10 publications

References 44 publications

Genetic parameters in melon sub-accessions from traditional agriculture

Genetic parameters in melon sub-accessions from traditional agriculture

Identifying the primary meteorological factors affecting the growth and development of Tartary buckwheat and a comprehensive landrace evaluation using a multi‐environment phenotypic investigation

Genetic diversity in creole genotypes of Amazon chicory

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