Correlations between traits in soybean (Glycine max L.) naturally infected with Asian rust (Phakopsora pachyrhizi)

Rodrigues, B. H. N.; Serafim, F. J. D.; Nogueira, Ana Paula Oliveira; Hamawaki, Osvaldo Toshiyuki; Sousa, Larissa Barbosa de; Hamawaki, Raphael Lemes

doi:10.4238/2015.december.21.45

Cited by 11 publications

(13 citation statements)

References 18 publications

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“…The PHM trait has also shown a significant positive correlation with PHF (0.75). Furthermore, similar results were found by Rodrigues et al (2015), in studies regarding soybean genotypes naturally infected by P. pachyrhizi fungi.…”

Section: Resultssupporting

confidence: 87%

“…The TNP is one of the soybean yield components that have the highest direct effect on total grain yield (Alcantara Neto et al, 2011;Vianna et al, 2013;Dallastra et al, 2014;Rodrigues et al, 2015).…”

Section: Resultsmentioning

confidence: 99%

“…Leite et al (2015), when analyzing genotypic and phenotypic correlations in 28 soybean genotypes, asserted moderate to high correlations between the plant height at maturity with the height of insertion of the first pod and grain yield, indicating that the selection for plant height at maturity directly influences the other characters. Rodrigues et al (2015), while studying genotypic and phenotypic correlations in soybean genotypes infected by naturally occurring Phakopsora pachyrhizi, have concluded that the total number of pods is a useful trait for indirect selection of soybean genotypes with high yield standards.…”

Section: Introductionmentioning

confidence: 99%

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Phenotypic and genotypic correlations between soybean agronomic traits and path analysis

Machado¹,

Nogueira²,

Hamawaki³

et al. 2017

Genet. Mol. Res.

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The goals of this research were to evaluate the phenotypic and genotypic correlations between agronomic traits, to perform path analysis, having as main character grain yield, and to identify indirect selection criteria for grain yield. The experiment was carried out in an experimental area located at Capim Branco farm, which belongs to Federal University of Uberlândia, during the growing season of 2015/2016.Twenty-four soybean genotypes were evaluated under randomized complete block design with three repetitions, of which agronomic traits and grain yield were measured. There was genetic variability for all traits at 5% probability level through the F-test. Thirty significant phenotypic correlations were also observed with values oscillating from 0.42 to 0.87, which indicated a high level of association between some evaluated traits. Additionally, we verified that phenotypic and genotypic correlations were essential of the same direction, being the genotypic ones of superior magnitudes. Plants with superior vegetative cycle had longer life cycles; this fact could be explained by the significant phenotypic correlations between the number of days to the blooming and number of days to maturity (0.76). Significantly positive phenotypic and genotypic correlations for the total number of pods per plant and grain yield per plant (0.84) were observed. Through the path analysis, the trait that contributed the most over grain yield was the number of pods with three seeds as it showed the highest direct effect on grain yield per plant, as well as a strong indirect effect on the total number of pods. Therefore, the phenotypic and genotypic correlations suggested high correlations between grain yield and number of branched nodes, the number of pods with two and three seeds, and the total number of pods. Also, the path analysis determined the number of pods with three seeds as having the highest favorable effect on grain yield, and thus, being useful for indirect selection toward productive soybean genotypes.

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Section: Resultssupporting

confidence: 87%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Phenotypic and genotypic correlations between soybean agronomic traits and path analysis

Machado¹,

Nogueira²,

Hamawaki³

et al. 2017

Genet. Mol. Res.

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“…In this regard, a lot of research is devoted to the study of correlations between plant characters, as well as to the search for indicator traits which can be used for selecting accessions with the necessary economically important traits. In the works reviewed by the authors, seed productivity was connected with phenological and morphological characters, such as the 'days before ripening' and 'grain filling period' (Ferrari et al, 2018), plant height and number of branches (Aditya et al, 2011;Hakim, Suyamto, 2017), number of pods per plant (Board et al, 2003;Nagarajan et al, 2015;Rodrigues et al, 2015;Machado et al, 2017), number of nodes and pods with 2-3 grains (Machado et al, 2017), number of seeds per plant (Rozhanskaya et al, 2016), number of pods per plant and nodes on the main stem (Silva et al, 2015), as well as the number of seeds per plant and the 1000 seed weight (Vu et al, 2019). A number of works have noted a close relationship between seed productivity and green biomass (Leshchenko et al, 1987) or the above-ground mass of the plant (Huang et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Variability of the structure of correlations between the morphological and commercial traits of soybeans with different growth habit and branching characters

Бурляева

Ростова

2019

Vestn. VOGiS

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High yields of seeds, green pods and green biomass is the main goal of soybean breeding in many countries. An assessment of relationships between the productivity traits and their effect on the yield may be useful in developing effective crop cultivation programs. In soybean, the stem growth habit and the branching character are interrelated with plant productivity and in most cases determine it. Therefore, the aim of the present work was to study the variability of the level (strength) and the structure of correlations between 92 morphological, phenological, biochemical, agronomic traits of soybean accessions with different growth habits, and branching characters in different weather conditions. 270 soybean accessions of different ecological and geographical origin from the VIR collection have been grown in the Krasnodar region within 3 years. Field studies of the traits and biochemical analysis were carried out according to VIR guidelines. The variability of correlation matrices as regards the strength and structure of relationships was analyzed using the correlation and factor analysis (the principal component method), as well as the method developed by N.S. Rostova. A comparison of the level (R 2 , coefficient of determination) and structure of correlations in different years has shown that the deterioration of external conditions is followed by an increase in the strength of relationships (R 2) between the traits and in the difference between correlation matrices' structure. Soybean adaptation to the changing conditions occurs due to the rearrangements of relationship systems, whereas the degree and direction of these changes are determined by the growing conditions and specificity of the accessions response. Under favorable conditions, the structure of correlations in soybeans with different growth habits, and branching characters has more similarity than in the conditions critical for development. The highest level of relationships (R 2) between the traits was observed in the year that was unfavorable for the growth of the semi-cultivated accessions (with the indeterminate growth habit and a large number of branches of the 1st and 2nd order). The green biomass productivity of accessions with the determinate growth habit and more than two branches is most strongly associated with the branch weight, while in accessions with the indeterminate growth habit and with (or without) 1-2 branches it depends on the growing season duration, one leaf weight and the number of leaves per plant. In the semi-cultivated accessions (with the indeterminate growth habit and numerous branches of the 1st and 2nd order), it correlates, besides the listed traits, with the number of nodes, the internode length, the main stem diameter, the weight of leaves, seed morphometric parameters and their quality.

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“…The use of resistant varieties is the ideal measure for ASR control, because it has lower production costs and less environmental impact than fungicide applications (Souza et al, 2014;Rodrigues et al, 2015). In Brazil, the resistant varieties TMG 801 and TMG 803 that exhibit the "RB" lesion type were available for commercial planting in the 2009/2010 harvest.…”

Section: Introductionmentioning

confidence: 99%

Identification and mapping of resistance genes to Phakopsora pachyrhizi in soybean (Glycine max L.) accession PI 594767-A

Rocha¹,

Alves²,

Oliveira³

et al. 2016

Genet. Mol. Res.

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ABSTRACT. The goal of this study was to study resistance inheritance in the soybean (Glycine max L.) accession PI 594767-A to the Phakopsora pachyrhizi isolate PPUFV02, and map the resistance gene(s) identified using microsatellite markers. Crosses between PI 594767-A and the susceptible cultivar 'Conquista' gave rise to the segregating subpopulations 26C-2 and 26C-5, which in the F 2 generation were evaluated for their reactions to PPUFV02. In addition, analyses with microsatellite markers linked to the Rpp1-Rpp5 loci were also performed. The segregation pattern obtained in 26C-2 revealed that resistance was governed by a recessive gene; a 1:2:1 segregation pattern was observed in 26C-5, indicating control by a gene with partial dominance. This variability may have been caused because environmental conditions, particularly temperature, when 26C-5 was assessed were unfavorable for pathogen development, allowing the phenotypic expression of heterozygous alleles in PI 594767-A. A resistance gene was located in the soybean linkage group G, in the genomic region between Sct_187r2 and Sat_064 that contains the Rpp1 locus. Resistance in PI 594767-A is probably conferred by a new Rpp1 gene allele, because this accession has a haplotype for Sct_187r2 and Sat_064, which differs from haplotypes of accessions that also contain resistance alleles that map the Rpp1 locus. The use of Sct_187r2 and Sat_064 will facilitate the introgression of the resistance allele from PI 594767-A and its pyramiding with other resistance genes into genotypes with superior agronomic characteristics, in order to obtain cultivars with broad-spectrum resistance to P. pachyrhizi.

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Correlations between traits in soybean (Glycine max L.) naturally infected with Asian rust (Phakopsora pachyrhizi)

Cited by 11 publications

References 18 publications

Phenotypic and genotypic correlations between soybean agronomic traits and path analysis

Phenotypic and genotypic correlations between soybean agronomic traits and path analysis

Variability of the structure of correlations between the morphological and commercial traits of soybeans with different growth habit and branching characters

Identification and mapping of resistance genes to Phakopsora pachyrhizi in soybean (Glycine max L.) accession PI 594767-A

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