BRSMG Alterosa: Rice cultivar for lowland cultivation in Minas Gerais

Soares, Plínio César; Reis, Miria Hespanhol Miranda; Cornélio, Vanda Maria de Oliveira; Torga, P. P.; Filho, Francisco Pereira Moura; Bassinello, P. Z.; Condé, Aurinelza Batista Teixeira

doi:10.1590/1984-70332019v19n4c65

Cited by 2 publications

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“… The hybrid controller based on the method of Eberhart and Russell (1966) and Lin and Binns (1988) modified by Carneiro (1998) is a suitable tool to automate decision‐making in the recommendation of cultivars in breeding programmes. The results indicated that BRA 02691 is an ideal cultivar, with a high mean 5302 kg ha −1 , a 𝛽 1 equal to 1, and a high predictability of behaviour (

R^{2}

of 80.43%). BRA 02691 was recently accredited as a new commercial cultivar, termed ‘BRSMG Alterosa’ (Soares et al, 2019). Therefore, this genotype may contribute to satisfactory results in favourable and unfavourable environments. The hybrid fuzzy controller based on the methods of Eberhart and Russell (1966) and the modified method of Lin and Binns (Carneiro, 1998) indicated that the genotypes MGI 0607‐1, BRA041230, BRA 031001, BRA 01330 and the rice cultivar ‘Ourominas’ showed general adaptability with high average grain yield suitable to be used as parents in future breeding programmes. …”

Section: Discussionmentioning

confidence: 99%

Application of fuzzy logic for adaptability and stability studies in flood‐irrigated rice (Oryza sativa)

Silva

Costa

et al. 2021

Plant Breeding

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The aim of this study was to use fuzzy logic as an auxiliary tool in the assessment of adaptability and stability, using grain‐yield data from flood‐irrigated rice, evaluated in different agricultural years. Eighteen rice genotypes belonging to flood‐irrigated rice breeding programme were evaluated over four agricultural years, 2012/2013 to 2015/2016, totalling 12 environments (3 sites × 4 years). The methodologies of Eberhart and Russell (1966), Lin and Binns (1988) modified by Carneiro (1998) and Centroid's were used. Fuzzy logic was applied to the results of these methodologies as a tool for interpretation and decision‐making regarding the recommendation of genotypes. Performances of the different flood‐irrigated rice genotypes were influenced by environmental conditions, thereby justifying the use of multiple adaptability and stability methodologies. The use of fuzzy logic in the selection of flood‐irrigated rice genotypes is a useful and promising tool in breeding programmes, allowing information from different parameters to be used to understand the influence of environmental variations on the performance of crop genotypes.

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Section: Discussionmentioning

confidence: 99%

Application of fuzzy logic for adaptability and stability studies in flood‐irrigated rice (Oryza sativa)

Silva

Costa

et al. 2021

Plant Breeding

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“…Irrigated rice is very important in Brazil, with an annual production of about 10 Tg in 2018–2019 and represents 80% of planted area of rice in the country. Minas Gerais is the leading state in flood‐irrigated rice production in the Southeast Region and in the 2018–2019 growing season obtained a state mean yield of 6631 kg ha −1 , grown on an area of .9 thousand hectares (CONAB, 2019; Soares et al, 2019). Although, the rice area decreased in the last years, Minas Gerais had an increased production over time.…”

Section: Introductionmentioning

confidence: 99%

Quarter century genetic progress in irrigated rice (Oryza sativa) in Southeast Brazil

et al. 2021

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Rice is one of the most consumed cereals in the world and of extreme social and economic importance in Brazil. Minas Gerais is the leading State in irrigated rice production in the Southeast Region. This study aimed to estimate the genetic progress of 26 years of the irrigated rice breeding programme of Epamig in Southeast Brazil by time meta‐analysis. Genetic progress was estimated for grain yield, plant height and days to flowering. The dataset understood 162 genotypes in 91 trials of value for cultivation and use of 26 seasons. The rate of annual genetic gain for grain yield was estimated .99% (49.85 kg year−1). It was also verified that was a reduction in plant height and an increase in days to flowering, even if very low. Due to distinct historical phases of the rice breeding programme, there were changes in research focus and, consequently, affected the genetic gains. With this study, it was possible to evaluate the selection strategies carried out in the past and identify important points to maintain.

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BRSMG Alterosa: Rice cultivar for lowland cultivation in Minas Gerais

Cited by 2 publications

References 4 publications

Application of fuzzy logic for adaptability and stability studies in flood‐irrigated rice (Oryza sativa)

Application of fuzzy logic for adaptability and stability studies in flood‐irrigated rice (Oryza sativa)

Quarter century genetic progress in irrigated rice (Oryza sativa) in Southeast Brazil

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