Soybean parent selection based on genetic diversity

Carpentieri-Pípolo, Valéria; Pípolo, A. E.; Silva, Flávio André Martins da; Petek, Marcos Rafael

doi:10.1590/s1516-89132000000300008

Cited by 7 publications

(4 citation statements)

References 2 publications

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“…This in turn is important to select genetically divergent parental lines derived from the different genetic groups [16]. Considering the use of divergent parents in crossing programs is expected to produce high heterosis in the progenies [17,18] and increase the chance of obtaining superior segregants in advanced generations and is important to enhance the genetic base. Morphological and agronomic traits that have been used most often for the study of genetic diversity are unstable because environmental variability and expression of desired traits are influenced at the developmental stages [19].…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity and population structure analysis of bambara groundnut (Vigna subterrenea L) landraces using DArT SNP markers

et al. 2021

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Understanding the genetic structure and diversity of crops facilitates progress in plant breeding. A collection of 270 bambara groundnut (Vigna subterrenea L) landraces sourced from different geographical regions (Nigeria/Cameroon, West, Central, Southern and East Africa) and unknown origin (sourced from United Kingdom) was used to assess genetic diversity, relationship and population structure using DArT SNP markers. The major allele frequency ranged from 0.57 for unknown origin to 0.91 for West Africa region. The total gene diversity (0.482) and Shannon diversity index (0.787) was higher in West African accessions. The genetic distance between pairs of regions varied from 0.002 to 0.028 with higher similarity between Nigeria/Cameroon-West Africa accessions and East-Southern Africa accessions. The analysis of molecular variance (AMOVA) revealed 89% of genetic variation within population, 8% among regions and 3% among population. The genetic relatedness among the collections was evaluated using neighbor joining tree analysis, which grouped all the geographic regions into three major clusters. Three major subgroups of bambara groundnut were identified using the ADMIXTURE model program and confirmed by discriminant analysis of principal components (DAPC). These subgroups were West Africa, Nigeria/Cameroon and unknown origin that gave rise to sub-population one, and Central Africa was sub-population two, while Southern and East Africa were sub-population three. In general, the results of all the different analytical methods used in this study confirmed the existence of high level of diversity among the germplasm used in this study that might be utilized for future genetic improvement of bambara groundnut. The finding also provides new insight on the population structure of African bambara groundnut germplasm which will help in conservation strategy and management of the crop.

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Section: Introductionmentioning

confidence: 99%

Genetic diversity and population structure analysis of bambara groundnut (Vigna subterrenea L) landraces using DArT SNP markers

et al. 2021

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“…Genetic distance has been explored using parental coefficients (Gizlice et al, 1993), molecular markers (Brown‐Guedira et al, 2000), and/or simple morphological traits (Perry, 1991). Empirical evidence relating genetic distance and transgressive segregation have yielded mixed results (Bohn et al, 1999; Burkhamer et al, 1998; Carpentieri‐Pípolo et al, 2000; Gizlice et al, 1993; Kisha et al, 1997). We hypothesize that using physiological traits to assess genetic distance may have more predictive value than other characteristics less, or not directly, related with yield (e.g., molecular markers, morphological traits, or pedigree information; Reynolds et al, 2011).…”

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confidence: 99%

Soybean Nitrogen Uptake and Utilization in Argentina and United States Cultivars

et al. 2014

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1153 RESEARCH S oybean [Glycine max (L.) merr.] seed yield has been increasing between 0.5 and 1% per year during the last 20 years in the United States (Specht et al., 1999). Approximately 50% of this increase is due to genetic improvement while the other 50% is attributed to better management practices (Duvick, 2005;Egli, 2008;Specht et al., 1999). Future yield increases must continue to come, at least partially, from genetic improvement.A more rapid rate of genetic gain could be achieved through increased interaction between crop physiologists and plant breeders (Cooper and Hammer, 2005;Duvick, 2005;Hammer et al., 2006). Traditional breeding of autogamous species is an empirical ABSTRACT Crop production increase needed to satisfy a growing world population depends, at least partially, on increasing current genetic gain in yield. Theory proposes that increased genetic gain can be attained using diverse high-yielding parents. Physiological traits, compared to molecular or morphological markers, are hypothesized to better estimate parental diversity. A trait-based hybridization approach will require assessing diversity for physiological traits. Here, we phenotyped several traits using two physiological frameworks to assess diversity in 25 and 65 elite cultivars from Argentina (ARG) and the United States (USA), respectively. First, we identified the highest-yielding cultivar clusters across two environments in each country. These cultivars had the highest N uptake at both ARG and USA. Therefore, there was no genotypic diversity for total N uptake within each cluster. For other traits, the highest yielding clusters did not show the highest values. There was residual diversity within ARG and USA highest yielding clusters in the temporal pattern of N uptake, N use efficiency, and N harvest index. Stacking these traits in one cultivar could potentially increase yield by 13%. The possibility of such stacking, however, depends on the nature of the phenotypic correlation among traits. We demonstrated that several trade-off correlations between phenotyped traits, thought to hinder stacking, are actually not biologically based.

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“…seed weight, number of seeds per plant, and harvest index. Several research studies have reported the relevance of parental selection on the breeding success (Carpentieri-Pípolo et al 2000;Bertan et al 2007;Casassola et al 2013), and many tools are available to help the selection, e.g. divergence analyses based on phenotypic, genetic, and pedigree information.…”

Section: Introductionmentioning

confidence: 99%

Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust

et al. 2019

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Due to the high impact of Asian soybean rust (SBR) in Brazilian croplands, several studies have been conducted in order to maintain or increase the grain yield gain over years in the presence of the pathogen. The aim of this study was to define a breeding strategy applying uni and multivariate approaches for diallel analyzes in early generation trials and contrasting disease conditions. Thus, assessing genetic parameters to identify traits related to greater tolerance to soybean rust. Deploying a North Carolina design II scheme (4 elite commercial cultivars × 10 rusttolerant experimental lines), we obtained 40 F 2 crosses that were evaluated in a randomized complete block design with 4 replicates. The crosses were conducted in two environments, contrasting only for the fungicide management (with and without rust control), enabling the estimation of the rust impact on 11 traits, divided

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Soybean parent selection based on genetic diversity

Abstract: ABSTRACT

Cited by 7 publications

References 2 publications

Genetic diversity and population structure analysis of bambara groundnut (Vigna subterrenea L) landraces using DArT SNP markers

Genetic diversity and population structure analysis of bambara groundnut (Vigna subterrenea L) landraces using DArT SNP markers

Soybean Nitrogen Uptake and Utilization in Argentina and United States Cultivars

Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust

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