scholarly journals DIVERGÊNCIA GENÉTICA ENTRE ESPÉCIES DE PALMEIRAS Acrocomia Mart. BASEADA EM DESCRITORES MORFOAGRONÔMICOS

2021 ◽  
Vol 35 (4) ◽  
pp. 562-577
Author(s):  
Paulo Henrique Silva ◽  
Suelen Alves Vianna ◽  
Cássia Regina Limonta Carvalho ◽  
Joaquim Adelino de Azevedo Filho ◽  
Carlos Augusto Colombo
Keyword(s):  
Cluster Analysis ◽  
Genetic Divergence ◽  
Geographical Origin ◽  
Economic Potential ◽  
Breeding Programs ◽  
Future Studies ◽  
Palm Trees ◽  
Acrocomia Aculeata ◽  
Large Groups ◽  
Selection Of

Divergência genética entre espécies de palmeiras Acrocomia Mart. baseada em descritores morfoagronômicos   PAULO HENRIQUE DA SILVA1, SUELEN ALVES VIANNA2, CÁSSIA REGINA LIMONTA CARVALHO3, JOAQUIM ADELINO DE AZEVEDO FILHO4, CARLOS AUGUSTO COLOMBO5   1 Mestrando no Curso de Pós-Graduação em Agricultura Tropical e Subtropical – Genética, Melhoramento e Biotecnologia Vegetal- Instituto Agronômico (IAC). Avenida: Barão de Itapura, 1481, Botafogo, Campinas, SP, Brasil, CEP: 13.020-902.  [email protected] 2 Pós Doutoranda no Centro de Pesquisa & Desenvolvimento de Recursos Genéticos Vegetais, Laboratório de Biologia Molecular – Instituto Agronômico (IAC). Avenida: Barão de Itapura, 1481, Botafogo, Campinas, SP, Brasil, CEP: 13.020-902.  [email protected] 3 Pesquisadora no Centro de Pesquisa & Desenvolvimento de Recursos Genéticos Vegetais, Laboratório de Fitoquímica – Instituto Agronômico (IAC). Avenida: Barão de Itapura, 1481, Botafogo, Campinas, SP, Brasil, CEP: 13.020-902.  [email protected] 4 Pesquisador na Agência Paulista de Tecnologia dos Agronegócios (APTA) - Pólo Regional do Leste Paulista. Rua: Dr. José Paiva Castro, 1493, Monte Alegre do Sul, SP, CEP: 13.910-000. [email protected] 5  Pesquisador no Centro de Pesquisa & Desenvolvimento de Recursos Genéticos Vegetais, Laboratório de Biologia Molecular – Instituto Agronômico (IAC). Avenida: Barão de Itapura, 1481, Botafogo, Campinas, SP, Brasil, CEP: 13.020-902.  [email protected]   Resumo: As palmeiras nativas Acrocomia aculeata e Acrocomia totai são utilizadas para diversos fins sobretudo, o uso da polpa fresca ou processada para alimentação e a extração de óleo da polpa e da amêndoa com diversas aplicações. Sabendo de seu potencial econômico e a dúvida existente sobre sua taxonomia, foi realizada a caracterização de 60 indivíduos em três populações de cada uma das espécies com o uso de 41 descritores morfoagronômicos. Os dados foram analisados com o uso de estatística univariada e multivariada (estimativa de similaridade pelo índice de Gower e formação dos agrupamentos pelo método UPGMA). Foi encontrada grande variação na maioria dos descritores analisados dentro e entre populações e espécies. A população de Luz-MG apresentou os maiores valores relativos aos descritores de frutos e a de Corumbá-MS os menores. A análise de agrupamento revelou a formação de dois grandes grupos correspondentes às espécies analisadas e a subdivisão dentro de cada um destes corresponde a sua origem geográfica. A variação encontrada dentro de cada uma das espécies pode orientar a seleção de indivíduos mais produtivos em programas de melhoramento e a divergência entre espécies além de comprovar sua taxonomia subsidia futuros estudos e sua melhor utilização.   Palavras-chave: Acrocomia aculeata, Acrocomia totai, Arecaceae, diversidade, pré-melhoramento   GENETIC DIVERGENCE AMONG SPECIES OF PALM TREES Acrocomia Mart. BASED ON MORPHOAGRONOMIC DESCRIPTORS   ABSTRACT: The native palm trees Acrocomia aculeata and Acrocomia totai are used for several purposes, mainly, the use of fresh or processed pulp for food and the extraction of oil from the pulp and almond with different applications. Knowing its economic potential and doubt about its taxonomy, 60 individuals were characterized in three populations of each species using 41 morpho-agronomic descriptors. The data were analyzed using univariate and multivariate statistics (similarity estimate using the Gower index and formation of clusters using the UPGMA method). Great variation was found in most of the descriptors analyzed within and between populations and species. The population of Luz-MG had the highest values ​​for fruit descriptors and the population of Corumbá-MS the lowest. The cluster analysis revealed the formation of two large groups corresponding to the analyzed species and the subdivision within each of these corresponds to their geographical origin. The variation found within each species can guide the selection of more productive individuals in breeding programs and the divergence between species, in addition to proving their taxonomy supports future studies and their better use.   Keywords: Acrocomia aculeata, Acrocomia totai, Arecaceae, diversity, pre-breeding.

scholarly journals Agronomic potential and selection of okra hybrids to obtain potential genitors

2018 ◽  
Vol 36 (1) ◽  
pp. 112-117 ◽  
Author(s):  
Gabriel M Maciel ◽  
Rafael R Finzi ◽  
Alexandre William C Marra ◽  
Fábio J Carvalho ◽  
Ana Paula O Nogueira
Keyword(s):  
Genetic Divergence ◽  
Canonical Analysis ◽  
Index Number ◽  
Clustering Methods ◽  
Germplasm Bank ◽  
Breeding Programs ◽  
Agronomic Potential ◽  
Per Se ◽  
Fruit Mass ◽  
Selection Of

ABSTRACT Evaluation of pre-commercial hybrids in a germplasm bank is essential for determining its commercial potential or its utility as a potential genitor in a breeding program. The objective of this study was to determine genetic divergence and per se behavior of 47 pre-commercial hybrids from okra germplasm bank of the Universidade Federal de Uberlândia. Precocity index (%), number of fruits (fruits per plant), average fruit mass (g) and productivity (g per plant) were evaluated. Analysis of genetic divergence was performed by multivariate analysis using Mahalanobis distance with different clustering methods (UPGMA and canonical analysis). The performance of hybrids was compared by Scott-Knott (p= 0.05). A significant genetic variability among okra hybrids was observed. UPGMA and canonical analysis grouped the hybrids similarly, being satisfactory to represent genetic divergence. Ten hybrids presented higher performance than the commercial hybrids. Among them, UFU-QB16 stood out as the most promising hybrid for being used as a potential parent in breeding programs after auto pollination.

scholarly journals Comparison of methods for selection of castor beans lineages

2019 ◽  
Vol 9 (4) ◽  
pp. 687-694
Author(s):  
Maria Márcia Pereira Sartori ◽  
Jackson da Silva ◽  
Mauricio Dutra Zanotto
Keyword(s):  
Cluster Analysis ◽  
Genetic Divergence ◽  
Oil Content ◽  
Plant Size ◽  
Comparison Of Methods ◽  
High Productivity ◽  
Components Analysis ◽  
Bean Crop ◽  
Formation Of Groups ◽  
Selection Of

The choice of the most appropriate method is determined by the precision desired by the researcher, by the ease of the analysis, as well as by the way of obtaining the data. In order to select lineages of low size and high productivity this study aimed to evaluate different methods of cluster analysis in the representation of genetic divergence, compared to univariate methods. The analyzed variables were grain yield, plant size and oil yield of 24 lineages of castor beans cultivated in the years 2014 and 2015. The Single and Average methods presented similar results in the formation of groups and different from the Complete. Evaluating the purpose of this research the Complete method and principal components analysis, together with the discriminant analysis, were considered the most appropriate methods to evaluate the genetic divergence of the castor bean crop. Lineages 18, 19 and 20 showed average grain yields above 1555 kg.ha-1, high oil content (above 46.9%), and low size plants (below 116 cm).

scholarly journals ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBER1

2020 ◽  
Vol 33 (1) ◽  
pp. 253-259
Author(s):  
ROMMEL RAPHAEL SANTOS DE ALBUQUERQUE ◽  
JOSÉ JAIME VASCONCELOS CAVALCANTI ◽  
FRANCISCO JOSÉ CORREIA FARIAS ◽  
DAMIÃO RANIERE QUEIROZ ◽  
LUIZ PAULO DE CARVALHO
Keyword(s):  
Cotton Fiber ◽  
Northeastern Brazil ◽  
Semiarid Region ◽  
Lint Percentage ◽  
Breeding Programs ◽  
Future Studies ◽  
Arid Conditions ◽  
Colored Cotton ◽  
Naturally Colored Cotton ◽  
Selection Of

ABSTRACT Naturally-colored cotton fiber has received attention from breeding programs in the semiarid region of northeastern Brazil due to an increased interest in its fibers. Therefore, this study aimed to select genotypes of colored cotton fiber for agronomic and technological fiber characteristics for the Brazilian semi-arid conditions. The experiment was carried out in two environments (Patos-PB and Apodi-RN) in Brazil during the 2016 growing season. The experimental design was in randomized blocks with four replications. Treatments consisted of eleven colored fiber genotypes and three controls (BRS Topázio, BRS Rubi, and BRS Verde). The following traits were assessed: seed cotton yield (SCY, kg ha-1), lint percentage (LP, %), lint length (LEN, mm), lint strength (STR, gf tex-1), and lint micronaire (MIC, µg in-1). The data were submitted to individual and joint variance analyses, and means were grouped by the Scott and Knott (1974) test at 0.05 probability. Genotypes showed variability in all traits, which allows genetic gains in subsequent cycles of selection. The genotypes BRS Topázio, CNPA 2002 10245, and CNPA 2002 10327 presented the best estimates for the assessed traits, thus they can be selected for future studies in cotton breeding programs in the semiarid region.

Cluster Analysis of Antigenic Profiles of Tumors: Selection of Number of Clusters Using Akaike’s Information Criterion

1990 ◽  
Vol 29 (03) ◽  
pp. 200-204 ◽  
Author(s):  
J. A. Koziol
Keyword(s):  
Cluster Analysis ◽  
Basic Problem ◽  
Information Criterion ◽  
Akaike's Information Criterion ◽  
Cell Surface Antigens ◽  
Number Of Clusters ◽  
Akaike’S Information Criterion ◽  
Multinomial Data ◽  
Tumor Types ◽  
Selection Of

AbstractA basic problem of cluster analysis is the determination or selection of the number of clusters evinced in any set of data. We address this issue with multinomial data using Akaike’s information criterion and demonstrate its utility in identifying an appropriate number of clusters of tumor types with similar profiles of cell surface antigens.

ESTIMASI NILAI HERITABILITAS BOBOT IKAN MAS VARIETAS PUNTEN DALAM PROGRAM SELEKSI INDIVIDU

2016 ◽  
Vol 11 (3) ◽  
pp. 217
Author(s):  
Estu Nugroho ◽  
Budi Setyono ◽  
Mochammad Su’eb ◽  
Tri Heru Prihadi
Keyword(s):  
Body Weight ◽  
Selection Response ◽  
Base Population ◽  
Breeding Programs ◽  
Male And Female ◽  
Body Weight Trait ◽  
Population Selection ◽  
Selection For ◽  
Weight Trait ◽  
Selection Of

Program pemuliaan ikan mas varietas Punten dilakukan dengan seleksi individu terhadap karakter bobot ikan. Pembentukan populasi dasar untuk kegiatan seleksi dilakukan dengan memijahkan secara massal induk ikan mas yang terdiri atas 20 induk betina dan 21 induk jantan yang dikoleksi dari daerah Punten, Kepanjen (delapan betina dan enam jantan), Kediri (tujuh betina dan 12 jantan), Sragen (27 betina dan 10 jantan), dan Blitar (15 betina dan 11 jantan). Larva umur 10 hari dipelihara selama empat bulan. Selanjutnya dilakukan penjarangan sebesar 50% dan benih dipelihara selama 14 bulan untuk dilakukan seleksi dengan panduan hasil sampling 250 ekor individu setiap populasi. Seleksi terhadap calon induk dilakukan saat umur 18 bulan pada populasi jantan dan betina secara terpisah dengan memilih berdasarkan 10% bobot ikan yang terbaik. Calon induk yang terseleksi kemudian dipelihara hingga matang gonad, kemudian dipilih sebanyak 150 pasang dan dipijahkan secara massal. Didapatkan respons positif dari hasil seleksi berdasarkan bobot ikan, yaitu 49,89 g atau 3,66% (populasi ikan jantan) dan 168,47 g atau 11,43% (populasi ikan betina). Nilai heritabilitas untuk bobot ikan adalah 0,238 (jantan) dan 0,505 (betina).Punten carp breeding programs were carried out by individual selection for body weight trait. The base population for selection activities were conducted by mass breeding of parent consisted of 20 female and 21 male collected from area Punten, eight female and six male (Kepanjen), seven female and 12 male (Kediri), 27 female and 10 male (Sragen), 15 female and 11 male (Blitar). Larvae 10 days old reared for four moths. Then after spacing out 50% of total harvest, the offspring reared for 14 months for selection activity based on the sampling of 250 individual each population. Selection of broodstock candidates performed since 18 months age on male and female populations separately by selecting based on 10% of fish with best body weight. Candidates selected broodstocks were then maintained until mature. In oder to produce the next generation 150 pairs were sets and held for mass spawning. The results revealed that selection response were positive, 49.89 g (3.66%) for male and 168.47 (11.43%) for female. Heritability for body weight is 0.238 (male) and 0.505 (female).

Using clusterization principles for the selection of repair sections of main oil pipelines based on diagnostic data

2011 ◽  
Vol 8 (1) ◽  
pp. 201-210
Author(s):  
R.M. Bogdanov
Keyword(s):  
Cluster Analysis ◽  
Defect Density ◽  
Density Variation ◽  
Distance Functions ◽  
Oil Pipeline ◽  
Oil Pipelines ◽  
Classification Of Images ◽  
Main Oil Pipeline ◽  
Selection Of

The problem of determining the repair sections of the main oil pipeline is solved, basing on the classification of images using distance functions and the clustering principle, The criteria characterizing the cluster are determined by certain given values, based on a comparison with which the defect is assigned to a given cluster, procedures for the redistribution of defects in cluster zones are provided, and the cluster zones parameters are being changed. Calculations are demonstrating the range of defect density variation depending on pipeline sections and the universal capabilities of linear objects configuration with arbitrary density, provided by cluster analysis.

scholarly journals Combining metabolomic and transcriptomic approaches to assess and improve crop quality traits

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Delphine M. Pott ◽  
Sara Durán-Soria ◽  
Sonia Osorio ◽  
José G. Vallarino
Keyword(s):  
Quality Trait ◽  
Quality Traits ◽  
Crop Species ◽  
Breeding Programs ◽  
Crop Quality ◽  
Crop Varieties ◽  
New Genes ◽  
Technical Advances ◽  
Health Promoting ◽  
Selection Of

AbstractPlant quality trait improvement has become a global necessity due to the world overpopulation. In particular, producing crop species with enhanced nutrients and health-promoting compounds is one of the main aims of current breeding programs. However, breeders traditionally focused on characteristics such as yield or pest resistance, while breeding for crop quality, which largely depends on the presence and accumulation of highly valuable metabolites in the plant edible parts, was left out due to the complexity of plant metabolome and the impossibility to properly phenotype it. Recent technical advances in high throughput metabolomic, transcriptomic and genomic platforms have provided efficient approaches to identify new genes and pathways responsible for the extremely diverse plant metabolome. In addition, they allow to establish correlation between genotype and metabolite composition, and to clarify the genetic architecture of complex biochemical pathways, such as the accumulation of secondary metabolites in plants, many of them being highly valuable for the human diet. In this review, we focus on how the combination of metabolomic, transcriptomic and genomic approaches is a useful tool for the selection of crop varieties with improved nutritional value and quality traits.

scholarly journals Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nicole Pretini ◽  
Leonardo S. Vanzetti ◽  
Ignacio I. Terrile ◽  
Guillermo Donaire ◽  
Fernanda G. González
Keyword(s):  
Doubled Haploid ◽  
Marker Assisted Selection ◽  
Triticum Aestivum L ◽  
Physiological Model ◽  
Yield Potential ◽  
Breeding Programs ◽  
Per Se ◽  
Genomic Regions ◽  
Fertility Traits ◽  
Selection Of

Abstract Background In breeding programs, the selection of cultivars with the highest yield potential consisted in the selection of the yield per se, which resulted in cultivars with higher grains per spike (GN) and occasionally increased grain weight (GW) (main numerical components of the yield). In this study, quantitative trait loci (QTL) for GW, GN and spike fertility traits related to GN determination were mapped using two doubled haploid (DH) populations (Baguette Premium 11 × BioINTA 2002 and Baguette 19 × BioINTA 2002). Results In total 305 QTL were identified for 14 traits, out of which 12 QTL were identified in more than three environments and explained more than 10% of the phenotypic variation in at least one environment. Eight hotspot regions were detected on chromosomes 1A, 2B, 3A, 5A, 5B, 7A and 7B in which at least two major and stable QTL sheared confidence intervals. QTL on two of these regions (R5A.1 and R5A.2) have previously been described, but the other six regions are novel. Conclusions Based on the pleiotropic analysis within a robust physiological model we conclude that two hotspot genomic regions (R5A.1 and R5A.2) together with the QGW.perg-6B are of high relevance to be used in marker assisted selection in order to improve the spike yield potential. All the QTL identified for the spike related traits are the first step to search for their candidate genes, which will allow their better manipulation in the future.

scholarly journals Identification of the Optimum Environments for the High Yield and Quality Traits of Lentil Genotypes Evaluated in Multi-Location Trials

2021 ◽  
Vol 13 (15) ◽  
pp. 8247
Author(s):  
Dimitrios N. Vlachostergios ◽  
Christos Noulas ◽  
Anastasia Kargiotidou ◽  
Dimitrios Baxevanos ◽  
Evangelia Tigka ◽  
...  
Keyword(s):  
Crude Protein ◽  
Agronomic Traits ◽  
High Yield ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Yield And Quality ◽  
Food And Feed ◽  
Superior Genotypes ◽  
Selection Of ◽  
The Ideal

Lentil is a versatile and profitable pulse crop with high nutritional food and feed values. The objectives of the study were to determine suitable locations for high yield and quality in terms of production and/or breeding, and to identify promising genotypes. For this reason, five lentil genotypes were evaluated in a multi-location network consisting of ten diverse sites for two consecutive growing seasons, for seed yield (SY), other agronomic traits, crude protein (CP), cooking time (CT) and crude protein yield (CPY). A significant diversification and specialization of the locations was identified with regards to SY, CP, CT and CPY. Different locations showed optimal values for each trait. Locations E4 and E3, followed by E10, were “ideal” for SY; locations E1, E3 and E7 were ideal for high CP; and the “ideal” locations for CT were E3 and E5, followed by E2. Therefore, the scope of the cultivation determined the optimum locations for lentil cultivation. The GGE-biplot analysis revealed different discriminating abilities and representativeness among the locations for the identification of the most productive and stable genotypes. Location E3 (Orestiada, Region of Thrace) was recognized as being optimal for lentil breeding, as it was the “ideal” or close to “ideal” for the selection of superior genotypes for SY, CP, CT and CPY. Adaptable genotypes (cv. Dimitra, Samos) showed a high SY along with excellent values for CP, CT and CPY, and are suggested either for cultivation in many regions or to be exploited in breeding programs.

scholarly journals Genetic diversity and population structure of ridge gourd (Luffa acutangula) accessions in a Thailand collection using SNP markers

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Grimar Abdiel Perez ◽  
Pumipat Tongyoo ◽  
Julapark Chunwongse ◽  
Hans de Jong ◽  
Anucha Wongpraneekul ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Germplasm Collection ◽  
Snp Markers ◽  
Fixation Index ◽  
Breeding Programs ◽  
Total Fixation ◽  
Unrooted Phylogenetic Tree ◽  
Luffa Acutangula ◽  
Selection Of

AbstractThis study explored a germplasm collection consisting of 112 Luffa acutangula (ridge gourd) accessions, mainly from Thailand. A total of 2834 SNPs were used to establish population structure and underlying genetic diversity while exploring the fruit characteristics together with genetic information which would help in the selection of parental lines for a breeding program. The study found that the average polymorphism information content value of 0.288 which indicates a moderate genetic diversity for this L. acutangula germplasm. STRUCTURE analysis (ΔK at K = 6) allowed us to group the accessions into six subpopulations that corresponded well with the unrooted phylogenetic tree and principal coordinate analyses. When plotted, the STRUCTURE bars to the area of collection, we observed an admixed genotype from surrounding accessions and a geneflow confirmed by the value of FST = 0.137. AMOVA based on STRUCTURE clustering showed a low 12.83% variation between subpopulations that correspond well with the negative inbreeding coefficient value (FIS =  − 0.092) and low total fixation index (FIT = 0.057). There were distinguishing fruit shapes and length characteristics in specific accessions for each subpopulation. The genetic diversity and different fruit shapes in the L. acutangula germplasm could benefit the ridge gourd breeding programs to meet the demands and needs of consumers, farmers, and vegetable exporters such as increasing the yield of fruit by the fruit width but not by the fruit length to solve the problem of fruit breakage during exportation.

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