Soybean genetic progress in South Brazil: physiological, phenological and agronomic traits

Todeschini, Matheus Henrique; Milioli, Anderson Simionato; Rosa, Ana Claudia; Dallacorte, Lucas Vinícius; Panho, Maiara Cecília; Marchese, José Abramo; Benin, Giovani

doi:10.1007/s10681-019-2439-9

Cited by 34 publications

(42 citation statements)

References 26 publications

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“…The photosynthetic rate is positively correlated with soybean yield [22, 23, 37, 38]. Todeschini et al [25], when evaluating the genetic progress of a historical cultivar set in South Brazil released between 1965 and 2011, they verified that the photosynthetic rate, transpiration rate, and chlorophyll a and b content improved significantly over the years and were positively associated with seed yield. Therefore, photosynthetic efficiency is related not only to net photosynthesis but also to the mechanisms of stomatal conductance, internal CO 2 concentration and transpiration.…”

Section: Discussionmentioning

confidence: 99%

“…Todeschini et al [25], in a study assessing the genetic progress of several agronomic, phenological and physiological traits in South Brazil, they reported that breeding strategies which maximize the photosynthetic rate, transpiration rate and chlorophyll content may increase the genetic progress for soybean yield in the future. Therefore, the evaluation of A, Ci, gs and E, which are easy to measure and low cost, can be valuable for soybean breeding programs, since it can contribute simultaneously to greater photosynthetic efficiency and yield gains [26].…”

Section: Discussionmentioning

confidence: 99%

“…However, increased photosynthetic efficiency has become the target of several breeding programs [21–23]. The positive correlation between the photosynthetic rate and the yield in soybean suggests that the improvement of photosynthetic efficiency may be a promising target for new yield gains [22, 24, 25]. Zhu et al [26] estimated that at least a 50% improvement in photosynthetic efficiency will also be critical to meet the doubled global yield of grain crops over this century.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the combining ability for physiological traits in soybean

et al. 2019

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Photosynthetic efficiency has become the target of several breeding programs since the positive correlation between photosynthetic rate and yield in soybean suggests that the improvement of photosynthetic efficiency may be a promising target for new yield gains. However, studies on combining ability of soybean genotypes for physiological traits are still scarce in the literature. The objective of this study was to estimate the combining ability of soybean genotypes based on F2 generation aiming to identify superior parents and segregating populations for physiological traits. Twenty-eight F2 populations resulting from partial diallel crossings between eleven lines were evaluated in two crop seasons for the physiological traits: photosynthesis, stomatal conductance, internal CO2 concentration, and transpiration. General combining ability (GCA) of the parents and specific combining ability (SCA) of the F2 populations were estimated. Our findings reveal the predominance of additive effects in controlling the traits. The genotype TMG 7062 IPRO is the most promising parent for programs aiming at photosynthetic efficiency. We have also identified other promising parents and proposed cross-breeding with higher potential for obtaining superior lines for photosynthetic efficiency.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding the combining ability for physiological traits in soybean

et al. 2019

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“…In our study, the genetic progress of HI was absent and indicated that superior genotypes selection was not performed focusing on this agronomic trait. However, the genetic progress of HI has been historically reported in several other crops (Cormier et al, 2013;Mueller et al, 2019;Todeschini et al, 2019). In a meta-analysis including eleven different crops, the authors reported a positive relationship between SY and HI in cereal (maize, wheat, barley, and oat), oilseed (soybean, canola, and flax), and pulse crops (pea, chickpea, and lentil), with the exception of potato crops only (Fan et al, 2017).…”

Section: Genetic Progressmentioning

confidence: 98%

Genetic Progress of Seed Yield and Nitrogen Use Efficiency of Brazilian carioca Common Bean Cultivars Using Bayesian Approaches

et al. 2020

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“…In soybean, leaf width (LW), leaf length (LL), and leaf area (LA) are important components of plant architecture; optimizing these leaf shape characteristics can improve the geometry and spatial arrangement of leaves, achieve the ideal plant canopy shape, reduce individual shading response, and improve the photosynthetic efficiency of leaves and yield [ 2 ]. Chlorophyll content (CC) is also an important factor affecting photosynthetic efficiency, biomass and yield in crops [ 3 – 6 ] and has been used to estimate leaf photosynthetic efficiency and yield potential in rice [ 7 ]. A high CC is a desired characteristic because it indicates that the degree of photoinhibition in photosynthesis is low [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

High-density QTL mapping of leaf-related traits and chlorophyll content in three soybean RIL populations

Yu¹,

Wang²,

Sun³

et al. 2020

BMC Plant Biol

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Background Leaf size and shape, which affect light capture, and chlorophyll content are important factors affecting photosynthetic efficiency. Genetic variation of these components significantly affects yield potential and seed quality. Identification of the genetic basis for these traits and the relationship between them is of great practical significance for achieving ideal plant architecture and high photosynthetic efficiency for improved yield. Results Here, we undertook a large-scale linkage mapping study using three mapping populations to determine the genetic interplay between soybean leaf-related traits and chlorophyll content across two environments. Correlation analysis revealed a significant negative correlation between leaf size and shape, while both traits were positively correlated with chlorophyll content. This phenotypic relationship was verified across the three mapping populations as determined by principal component analysis, suggesting that these traits are under the control of complex and interrelated genetic components. The QTLs for leaf-related traits and chlorophyll are partly shared, which further supports the close genetic relationship between the two traits. The largest-effect major loci, q20, was stably identified across all population and environments and harbored the narrow leaflet gene Gm-JAG1 (Ln/ln), which is a key regulator of leaflet shape in soybean. Conclusion Our results uncover several major QTLs (q4–1, q4–2, q11, q13, q18 and q20) and its candidate genes specific or common to leaf-related traits and chlorophyll, and also show a complex epistatic interaction between the two traits. The SNP markers closely linked to these valuable QTLs could be used for molecular design breeding with improved plant architecture, photosynthetic capacity and even yield.

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Soybean genetic progress in South Brazil: physiological, phenological and agronomic traits

Cited by 34 publications

References 26 publications

Understanding the combining ability for physiological traits in soybean

Understanding the combining ability for physiological traits in soybean

Genetic Progress of Seed Yield and Nitrogen Use Efficiency of Brazilian carioca Common Bean Cultivars Using Bayesian Approaches

High-density QTL mapping of leaf-related traits and chlorophyll content in three soybean RIL populations

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