Effect of sowing season on soybean performance

Mattos, Thúlio Pereira; Hamawaki, Osvaldo Toshiyuki; Nogueira, Ana Paula Oliveira; Luiz, Marlize Cristina Pinheiro; Teixeira, Fernanda Gabriela; Shigihara, Decio; Hamawaki, Raphael Lemes; Hamawaki, Cristiane Divina Lemes

doi:10.14393/bj-v36n5a2020-42446

Cited by 5 publications

(6 citation statements)

References 9 publications

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“…However, for the TNP (20.37%); GPL (26.97%); NBN (33.54%) and HIP (38.55%) characters, this parameter was greater than 20% (Table 1). These CVe values (%) are in accordance with that presented in the literature for these characters in agricultural experiments in soybean culture (Bizari et al, 2017;Silva et al, 2018;Bianchi et al, 2020;Luiz et al, 2020;Mattos et al, 2020).…”

Section: Resultssupporting

confidence: 91%

Selection strategies in agronomic characters in progenies F3:4 of transgenic soy RR

et al. 2021

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The selection indexes aggregate information to multiple characters and, with this, they are able to carry out the selection of a set of variables simultaneously. The objective was to verify the genetic potential of agronomic traits and to select soybean F3:4 progenies based on different selection strategies. 123 progenies and the parents were sown in randomized blocks with two replications. The gains of direct selection by the indexes, the sum of “ranks” and the genotype-ideotype were lower for all characters when compared to the gains of direct and indirect selection. The rank sum index stood out for achieving the highest total gain with 37.11%. The index of the genotype-ideotype obtained a lower gain (-0.48%) for the character number of days for flowering compared to the sum index of “ranks” (-0.54%) and reached a negative gain for the attribute insertion height of the first pod with -1.82%. The genetic potential of the F3:4 population is high and allows different selection strategies to be applied to reach superior genotypes. The progenies UFU 72, UFU 116, UFU 86, UFU 45, UFU 117, UFU 56, UFU 5, UFU 106, UFU 6, UFU 4, UFU 73, UFU 101, UFU 96, UFU 90, UFU 123, UFU 116, UFU 88, UFU 65, UFU 70, UFU 3, UFU 69 and UFU 37 were selected by both selection indexes. The UFU 72, UFU 90, UFU 88 and UFU 69 progenies are agronomically superior both in direct and indirect selection, as in Mulamba and Mock (1978) sum of “ranks” selections and genotype-ideotype.

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Section: Resultssupporting

confidence: 91%

Selection strategies in agronomic characters in progenies F3:4 of transgenic soy RR

et al. 2021

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“…It was verified for 20 soybean cultivars sown on January 5 th , 2017 in Uberlândia-MG that the NDF character ranged from 33.25 to 46.25 days and the NDM from 98.75 to 121.25 days, with similar values of NDF and higher for NDM obtained in the present study (Mattos et al, 2020). In F 2 progenies (UFUS 7415 × TMG 7161 RR) sown in Uberlândia-MG, NDM values were obtained between 76.0 and 108.0 days, like the present study (Silva et al, 2021).…”

Section: Resultssupporting

confidence: 88%

“…The evaluated progenies had the number of nodes below this range. A justification for the results found is that sowing carried out out of season tends to reduce the final number of nodes, due to the lower height of the plants (Mattos et al, 2020).…”

Section: Resultsmentioning

confidence: 91%

“…It is worth mentioning that the progenies of group "a", if sown in October, will probably have a cycle close to 100 days, since late sowing is responsible for shortening the cycle (Mattos et al, 2020). Furthermore, progenies that result in early cultivars allow the use of the crop succession system, which allows the cultivation of a second crop after the soybean harvest in the main cereal-producing states of the country, in addition to being an alternative to avoid foliar diseases and end of the cycle (Bezerra et al, 2017;Hartman;Sikora;Rupe, 2015).…”

Section: Resultsmentioning

confidence: 99%

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Genetic parameters and selection strategies for soybean progenies aiming at precocity and grain productivity

et al. 2022

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Genetic parameters and correlations are useful tools in breeding programs, helping to make decisions about the most efficient method of selecting soybean progenies. The objective was to determine genetic parameters and correlations between characters in 52 soybean genotypes, from 4 populations and to select the superior progenies for early cycle and grain productivity. The experiment was carried out in a randomized block design consisting of 52 RCF3:4 progenies and three controls (UFUS7010, TMG801, BRSGO7560). Agronomic and yield traits were evaluated. For the number of days to flowering and maturity, plant height at maturity and number of nodes at maturity, a high heritability estimate and favorable conditions for selection were observed. The existence of correlations between the characters was verified with the predominance of genetic causes, which allows the success in the indirect selection. By the Mulamba and Mock method, the highest selection gain was obtained, however, for the genotype-ideotype distance index method, greater gains were obtained for production components, therefore, 15 early cycle and productive superior RCF3:4 progenies were selected with a cycle between 79.0 and 105.0 days and production of 302.5 to 463.0 g plot-¹.

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“…Entretanto, para os demais caracteres NVT (20,37%); PGL (26,97%); NNR (33,54%) e AIV (38,55%), este parâmetro foi superior a 20% (TABELA 11). Estes valores de CVe (%) estão de acordo com o apresentado na literatura para estes caracteres em experimentos agrícolas na cultura da soja BIANCHI et al, 2019;MATTOS et al, 2020;SILVA et al 2018). ; APF: altura de plantas no florescimento (cm); AIV: altura de inserção da primeira vagem (cm); NNP e NNR: número de nós produtivos e ramificados, respectivamente; NTV: número total de vagens; PGP: produção de grãos por planta (g); PGL: produção de grãos por linha (g).…”

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Parâmetros genéticos, análise de trilha e estratégias de seleção em populações segregantes de soja

Carneiro¹

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The knowledge of the associative behavior between the various characters of economic interest and the different selection strategies enables the successful selection of superior genotypes and expressive selection gains. This thesis was divided into four chapters. The first chapter is the theoretical background that deals with soybean culture, genetic improvement, genetic parameters, path analysis and selection indexes. The second chapter aimed to understand the genetic parameters and selection gains for characters of agronomic importance in three F2soybean populations, in order to carry out a successful selection of superior genotypes.

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Effect of sowing season on soybean performance

Cited by 5 publications

References 9 publications

Selection strategies in agronomic characters in progenies F3:4 of transgenic soy RR

Selection strategies in agronomic characters in progenies F3:4 of transgenic soy RR

Genetic parameters and selection strategies for soybean progenies aiming at precocity and grain productivity

Parâmetros genéticos, análise de trilha e estratégias de seleção em populações segregantes de soja

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