Potential of soybean crosses in early inbreeding generations for grain yield

Rocha, Gabriela Antônia de Freitas; Pereira, Fernanda Aparecida Castro; Vello, Natal Antônio

doi:10.1590/1984-70332018v18n3a40

Cited by 11 publications

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“…The mean square of GCA was higher than that of SCA (58%) and REC (41%). The finding that GCA exceeded SCA and the reciprocal effect was consistent with the results reported elsewhere for autogamous crops such as soybean, and common bean (Rocha et al, 2014;Moura et al, 2018;Rocha;Pereira;Vello, 2018).…”

Section: Resultssupporting

confidence: 91%

Combining ability between common bean gene groups for root distribution trait

et al. 2020

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When different gene groups are combined by hybridization, the expression of predominant genes for a trait must be known. This understanding is fundamental to the decisions made by breeders in the stages of cultivation and selection of segregating populations during the breeding program. Thus, the objective of this study was to determine the effects of combining ability and gene action for the root distribution traits of the Andean and Mesoamerican common bean gene groups. Six common bean parents from the Andean and Mesoamerican groups were hybridized in a complete diallel mating scheme, resulting in 30 F1 hybrids. The parents and hybrids were planted in the field in a simple lattice design. The target trait was root distribution, calculated as the relative number of roots in the topsoil. The effect of the general combining ability was significantly higher than that of the specific combining ability (58%) and the reciprocal effect (41%). Particularly, the combination estimates were modified according to the order of the gene groups used. The combinations IPR Uirapuru x BAF53 (Mesoamerican x Andean), BAF53 x CBS14 (Andean x Andean), and CBS14 x IPR Uirapuru (Andean x Mesoamerican) mainly exhibited an increase in the mean root distribution. However, the highest fraction of genetic variance correlated with additive components (60%), even in crosses involving different gene groups. Consequently, the additive gene action was predominant in the expression of root distribution trait in common bean, irrespective of the gene group used.

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Section: Resultssupporting

confidence: 91%

Combining ability between common bean gene groups for root distribution trait

et al. 2020

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“…There was significance for GCS and SCA, as well as founded by Daronch et al (2014) and Rocha, Pereira and Vello (2018). The additive variance, expressed by the mean of GCA, is comparatively higher than the non-additive variance, similar fact was observed by Oliveira et al (2014).…”

Section: Resultssupporting

confidence: 73%

Identification of potential soybean crosses for grain yield in the F2 generation

Pereira¹,

Vello

Rocha

2019

Agrarian

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The diallel schemes comprise a powerful strategy for the genetic study of the characters and the ability to match the genotypes, as well as to obtain information at the different stages of a genetic breeding program involving artificial hybridizations. Moreover, it presents importance for the adequate selection of the parents in generations of endogamy after the hybridization. The objective was identifying the potential of soybean crosses to obtain progenies with high grain yield. A partial diallel was carried out, where group I was composed of ten experimental lines with high grain yield, and group II was composed of five genotypes with resistance to white mold, as indicated in literature. Two field experiments were installed to estimate the general and specific combining ability, the first one with the 50 crosses and the second one with the 15 parents (I and II groups). At the R8 stage, grain yield in kg ha -1 of the crosses and the parents was evaluated. The comparison of means between the genotypes and heterosis was also calculated. Broad-sense heritability was estimated considering phenotypic, environmental and genotypic variances. The results indicated superiority of the crosses in comparison to the parents. Heritability was considered high for most crosses evaluated. Diallel analysis was effective in identifying F2 populations with higher genetic gain potentials.Resumo: Os esquemas dialélicos de cruzamentos compreendem uma estratégia poderosa para o estudo genético dos caracteres e capacidade de combinação entre genótipos, bem como para se obter informações nas diferentes etapas de um programa de melhoramento genético envolvendo hibridações artificiais. Além disso, apresenta importância na escolha adequada dos genitores em gerações de endogamia após a hibridação. O objetivo foi identificar cruzamentos potenciais a fim de obter progênies altamente produtivas. Foi utilizado um dialelo parcial em que o grupo I envolveu dez genótipos representados por linhagens de soja experimentais com alta produtividade de grãos e o grupo II foi composto por cinco genótipos de soja com indicações na literatura de possível resistência ao mofo branco. A fim de estimar a capacidade geral e específica de combinação, foram instalados dois experimentos em campo, sendo o primeiro experimento representado por 50 cruzamentos e o segundo experimento pelos 15 genótipos (grupos I II). No estádio R8, foi avaliada a produtividade de grãos, em kg.ha -1 , dos dois experimentos. Foi realizado teste de média entre os genótipos e foi calculada a heterose. A herdabilidade no sentido amplo foi estimada com as variâncias fenotípicas, ambientais e genotípicas. Os resultados indicaram superioridade dos cruzamentos em comparação aos genitores. A herdabilidade foi considerada alta para a maioria dos cruzamentos. A análise dialélica foi eficaz em identificar populações F2 com maiores potenciais de ganho genético.Palavras-chaves: Glycine max, heterose, herdabilidade, dialelo parcial

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“…Diallel analyses have been carried out in soybean for the study of oil and protein content (Oliveira et al, 2014;Nagarajan;Kalaimagal;Murugan, 2017;Painkra;Nag;Khute, 2017) and agronomic traits (Rocha;Pereira;Vello, 2018). However, information on the agronomic characters of early generations of soybean, such as plant height and production components that have effects on grain yield, is still difficult to find.…”

Section: Introductionmentioning

confidence: 99%

Combinatorial analysis of agronomic characters in soybean

et al. 2019

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Evaluation of the genetic potential of parent plants is fundamental for obtaining superior populations with desirable agronomic characters. The aim of this work was to obtain estimates of the general and specific combining abilities of five soybean parents to identify the most promising parents and hybrid combinations for the development of superior genotypes for grain yield. In this study, two groups of soybean cultivars were selected: group I resistance (UFUS 7910 and BR/MG 46 Conquista) and group II (TMG 4182, TMG 4185 and BRSGO Chapadões). The parents were crossedin a 2 x 3 partial diallel scheme, and the experiment was analyzed according to Griffing’s (1956) parent and F1 model and adapted by Geraldi and Miranda Filho (1988). Six hybrid combinations and respective parents were arranged in randomized complete blocks with four repetitions. The following characters were evaluated: number of days for flowering and maturity, height of the plant in flowering and at maturity, number of nodes in flowering and at maturity, number of total pods and grain yield per plant. The BR/MG 46 Conquista, UFUS 7910 and BRSGO Chapadões parents contributed to obtaining productive segregant populations due to additivity for the total number of pods and grain yield per plant. The hybrid combinations BRSGO Chapadões x BR/MG 46 Conquista, BRSGO Chapadões x UFUS 7910 and TMG4182 x BR/MG 46 Conquista are promising for obtaining populations with high productive potential.

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Potential of soybean crosses in early inbreeding generations for grain yield

Cited by 11 publications

References 12 publications

Combining ability between common bean gene groups for root distribution trait

Combining ability between common bean gene groups for root distribution trait

Identification of potential soybean crosses for grain yield in the F2 generation

Combinatorial analysis of agronomic characters in soybean

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