ADAPTABILITY AND STABILITY OF IRRIGATED RICE ELITE LINES FOR GRAIN QUALITY

Autores

  • Paulo Henrique Karling Facchinello
  • Eduardo Anibele Streck
  • Gabriel Almeida Aguiar
  • Victoria Freitas de Oliveira
  • Janaína Goveia
  • Michele Feijó
  • Matheus Leite Vasconcellos
  • Ivan Ricardo Carvalho
  • Paulo Ricardo Reis Fagundes
  • Luciano Carlos da Maia
  • Ariano Martins de Magalhães Júnior

DOI:

https://doi.org/10.37856/bja.v97i2.4277

Resumo

The objective of this work was to investigate the interaction of irrigated rice genotypes in different environments, based on the genotypic evaluation of grain quality traits, through the adaptability and stability analysed by mixed models. These parameters were obtained from cultivation trials in eight cultivation environments of irrigated rice in Southern Brazil. The experimental design was randomized complete blocks, with 14 genotypes for each one and four repetitions. The genotypic values were estimated using REML/BLUP, based on the harmonic mean methods of the genotypic values, the relative performance of the predicted genotypic values through the environments and the harmonic mean of the relative performance of the genotypic values. The high accuracy values obtained for the most studied variables, show a great experimental quality and safety in the selection of these traits. The lines AB11502 and AB10501 showed a better agronomic performance in the milling yield. AB13008, AB13002 and AB13003 stood out for plaster traits, showing higher adaptability and stability. These inbred lines revealed high potential for grain quality attributes, and have potential to be released.

Referências

ANNICCHIARICO, P 1992. Cultivar adaptation and recommendation from alfalfa trials in Northern Italy. Journal of genetics and Plant Breeding, v. 46, p. 269-278.

BALESTRE, M; SANTOS, VB; SOARES, AA; REIS, MS 2010. Stability and adaptability of upland rice genotypes. Crop Breeding and Applied Biotechnology, v.10, n.4, p.357–363. DOI: 10.1590/S1984-70332010000400011.

BLANCHE, SB; UTOMO, HS; WENEFRIDA, I; MYERS, GO 2009. Genotype × environment interactions of hybrid and varietal rice cultivars for grain yield and milling quality. Crop Science, v.49, n.6, p.2011–2018. DOI: 10.2135/cropsci2009.04.0175.

BORGES, V; SOARES, AA; REIS, MS; RESENDE, MDV; CORNÉLIO, VMO; LEITE, NA; VIEIRA, AR 2010. Desempenho genotípico de linhagens de arroz de terras altas utilizando metodologia de modelos mistos. Bragantia, v.69, n.4, p.833–842, 2010. DOI: 10.1590/S0006-87052010000400008.

CASTRO, EDM; VIEIRA, NRDA; RABELO, RR; SILVA, AS 1999. Qualidade de grãos em arroz. Revista embrapa arroz e feijão, v.34, p.1–30.

CHAMPAGNE, ET; BETT-GARBER, KL; FITZGERALD, MA; GRIMM, CC; LEA, J; OHTSUBO, K; JONGDEE, S; XIE, L 2010. Important sensory properties differentiating premium rice varieties. Rice, v.3, n.4, p.270–281. DOI: 10.1007/s12284-010-9057-4.

COLOMBARI FILHO, JM; RESENDE, MDV; MORAIS, OP; CASTRO, AP; GUIMARÃES, ÉP; PEREIRA, JA; UTUMI, MM; BRESEGHELLO, F 2013. Upland rice breeding in Brazil: A simultaneous genotypic evaluation of stability, adaptability and grain yield. Euphytica, v.192, n.1, p.117–129. DOI: 10.1007/s10681-013-0922-2.

CORRÊA, AM; PEREIRA, MIS; ABREU, HKA; SHARON, T; MELO, CLP; ITO, MA; TEODORO, PE; BHERING, LL 2016. Selection of common bean genotypes for the Cerrado/Pantanal ecotone via mixed models and multivariate analysis. Genetics and Molecular Research, v.15, n.4, p.1–9. DOI: 10.4238/gmr15048888.

FARIAS, FJC; CARVALHO, LP; FILHO, JLS; TEODORO, PE 2016. Usefulness of the HMRPGV method for simultaneous selection of upland cotton genotypes with greater fiber length and high yield stability. Genetics and Molecular Research, v.15, n.3, p.1–7. DOI: 10.4238/gmr.15038439.

FARIAS NETO, JT; MOURA, EF; RESENDE, MDV; CELESTINO FILHO, P; AUGUSTO, SG 2013. Genetic parameters and simultaneous selection for root yield, adaptability and stability of cassava genotypes. Pesquisa Agropecuaria Brasileira, v.48, n.12, p.1562–1568. DOI: 10.1590/S0100-204X2013001200005.

GOUVÊA, LRL; SILVA, GAP; SCALOPPI, JREJ; GONÇALVES, OS 2011. Different methods to assess yield temporal stability in rubber. Pesquisa Agropecuaria Brasileira, v.46, n.5, p.491–498. DOI: 10.1590/S0100-204X2011000500006.

HAKATA, M; KURODA, M; MIYASHITA, T; YAMAGUCHI, T; KOJIMA, M; SAKAKIBARA, H; MITSUI, T; YAMAKAWA, H 2012. Suppression of α-amylase genes improves quality of rice grain ripened under high temperature. Plant Biotechnology Journal, p.1–8, 2012. DOI: 10.1111/j.1467-7652.2012.00741.x.

LI, Y; FAN, C; XING, Y; YUN, P; LUO, L; YAN, B; PENG, B; XIE, W; WANG, G; LI, X; XIAO, J; XU, C; HE, Y 2014. Chalk encodes a vacuolar H + -translocating pyrophosphatase influencing grain chalkiness in rice. Nature Genetics, v.46, n.4. DOI: 10.1038/ng.2923.

LIN, CS; BINNS, MR 1988. A method of analyzing cultivar x location x year experiments: a new stability parameter. Theoretical and Applied Genetics, v.76, p.425-430. DOI: 10.1007/BF00265344.

LONDERO, GP; MARCHESAN, E; PARISOTTO, E; COELHO, LL; ARAMBURU, BB; FLORES, CS; SILVA, AL 2015. Qualidade industrial de grãos de arroz decorrente da supressão da irrigação e umidade de colheita. Irriga, Botucatu, v.20, n.3, p.587–601. DOI: 10.15809/irriga.2015v20n3p587.

MAGALHÃES, AM; MORAES, OP; FAGUNDES, PRR; NETO, FPM; FRANCO, DF; NEVES, PCF; NUNES, CDM; RANGEL, PHN; PETRINI, JÃ; SEVERO, ACM 2012. BRS Pampa: Cultivar de Arroz Irrigado de Alta Produtividade e Excelência na Qualidade de Grãos. Comunicado Técnico, v.282. Disponível em: <https://www.embrapa.br/web/mobile/publicacoes/-/publicacao/953787/brs-pampa-cultivar-de-arroz-irrigado-de-alta-produtividade-e-excelencia-na-qualidade-de-graos>.

MAIA, MCC; RESENDE, MDV; PAIVA, JR; CAVALCANTI, JJV; BARROS, LM 2009. Seleção Simultânea para produção, Adaptabilidade e Estabilidade Genotípicas em Clones de Cajueiro, via Modelos Mistos. Pesquisa Agropecuária Tropical, v.39, n.1, p.43–50.

MARIOTTI, JÃ; OARZABAL, ES; OSA, JM; BULACIO, ANR; ALMADA, GH 1976. Analisis de stabilidad y adaptabilidad de genótipos de cãna de azucar. I. Interacciones dentro de una localidad experimental. Revista Agronómica Norte Argentina, v.13, p.405–412.

NEVES, PCF 2010. Melhoramento Genético do Arroz: Exploração da heterose no desenvolvimento de cultivares. In: Encontro sobre temas de genética e melhoramento, 27., 2010, Piracicaba. Exploração de híbridos no melhoramento genético vegetal: comemoração do centenário do uso do milho híbrido: anais. Piracicaba: ESALQ.

PUPIN, S; SANTOS, AVA; ZARUMA, DUG; MIRANDA, AC; SILVA, PHM; MARINO, CL; SEBBENN, AM; MORAES, MLT 2015. Produtividade, estabilidade e adaptabilidade em progênies de polinização aberta de Eucalyptus urophylla S.T. Blake. Scientia Florestalis, v.43, n.105, p.127–134.

REGITANO NETO, A; JUNIOR, EUR; GALLO, PB; FREITAS, JG; AZZINI, LE 2013. Behavior of upland rice genotypes in the state of São Paulo, Brazil. Revista Ciência Agronômica, v.44, n. 3. DOI: 10.1590/S1806-66902013000300013.

RESENDE, MDV 2004. Métodos estatísticos ótimos na análise de experimentos de campo. 1.ed. Colombo: Embrapa Florestas. 57p.

RESENDE, MDV 2016. Software Selegen-REML/BLUP: a useful tool for plant breeding. Crop Breeding and Applied Biotechnology, v.16, n.4, p.330-339. DOI: 10.1590/1984-70332016v16n4a49.

RESENDE, MDV; DUARTE, JB 2007. Precisão e controle de qualidade em experimentos de avaliação de cultivares. Pesquisa Agropecuária Tropical, v.37, n.3, p.182–194.

SILVA, VA; MACHADO, JL; COSTA, J; REZENDE, D; OLIVEIRA, AL; FI, UJ 2017. Adaptability, stability, and genetic divergence of conilon coffee in Alto Suaçuí, Minas Gerais, Brazil. Crop Breeding and Applied Biotechnology, v.17, p.25–31. DOI: 10.1590/1984-70332017v17n1a4.

STRECK, EA; AGUIAR, GA; MAGALHÃES, JRAM; FACCHINELLO, PHK; OLIVEIRA, AC 2017. Phenotypic variability in genotypes of irrigated rice via multivariate analysis. Revista Ciência Agronômica, v.48, p.101–109. DOI: 10.5935/1806-6690.20170011.

STRECK, EA; MAGALHÃES JÚNIOR, AM; FAGUNDES, PRR; AGUIAR, GA; FACCHINELLO, PHK; OLIVEIRA, AC 2018. Adaptabilidade e estabilidade de cultivares de arroz irrigado por inundação lançadas para a região subtropical do Brasil. Pesquisa Agropecuária Brasileira, v.53, n.10, p. 1140-1149. DOI: 10.1590/S0100-204X2018001000007.

TORRES, FE; TEODORO, PE; SAGRILO, E; CECCON, G; CORREA, AM 2015. Interação genótipo x ambiente em genótipos de feijão-caupi semiprostrado via modelos mistos. Bragantia, v.74, n.3, p.255–260. DOI: 10.1590/1678-4499.0099.

XU, Q; CHEN, W; XU, Z 2015. Relationship between grain yield and quality in rice germplasms grown across different growing areas. Breeding Science, v.232, p.226–232. DOI: 10.1270/jsbbs.65.226.

YAN, W; KANG, MS; MA, B; WOODS, S; CORNELIUS, PL 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science, v.47, n.2, p.643–655. DOI: 10.2135/cropsci2006.06.0374.

ZHOU, L; LING, J; HU-QU, Z; JIAN-MIN, WAN 2009. Current status and strategies for improvement of rice grain chalkiness. Hereditas (Beijing), v.31, n.6, p.563–572. DOI: 10.3724/sp.j.1005.2009.00563.

Downloads

Publicado

2022-08-15

Edição

v. 97 n. 2 (2022)

Seção

Artigos