Consistency of two stability analysis methods in potatoes

Souza, Velci Queiróz de; Pereira, A. da S.; Silva, Giovani Olegário da; Fritsche‐Neto, Roberto; Oliveira, Antônio Costa de

doi:10.1590/s0103-84782007000300009

Cited by 7 publications

(5 citation statements)

References 9 publications

(13 reference statements)

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“…Valores genéticos (g), valores genotípicos preditos (u + g), ganhos e nova média com a seleção, valor genotípico médio (u + g + gem), valores genotípicos capitalizados pela estabilidade (MHVG), adaptabilidade dos valores genotípicos (PRVG), valores genotípicos médios capitalizados pela adaptabilidade (PRVG*MG), adaptabilidade e estabilidade dos valores genotípicos (MHPRVG) e valores genotípicos médios capitalizando a estabilidade e a adaptabilidade (MHPRVG*MG), da avaliação de 12 genótipos de batata para os caracteres número total de tubérculos (NTT) e massa total de tubérculos (MTT), nos cultivos de primavera de 2012 e 2013 Número total de tubérculos 305 0,12 214,32 4,65 218,85 214,98 153,49 0,94 201,45 0,79 168,43 308 -8,65 205,54 0,00 214,20 158,65 136,38 0,71 153,01 0,68 145,42 Tabela 5. Valores genéticos (g), valores genotípicos preditos (u + g), ganhos e nova média com a seleção, valor genotípico médio (u + g + gem), valores genotípicos capitalizados pela estabilidade (MHVG), adaptabilidade dos valores genotípicos (PRVG), valores genotípicos médios capitalizados pela adaptabilidade (PRVG*MG), adaptabilidade e estabilidade dos valores genotípicos (MHPRVG) e valores genotípicos médios capitalizando a estabilidade e a adaptabilidade (MHPRVG*MG), da avaliação de 12 genótipos de batata para o caráter massa média de tubérculos (MMT), nos cultivos de primavera de de batata em 34 ambientes (locais, anos e safras), Peixoto et al (2002) avaliaram 14 genótipos em oito ambientes (locais e anos) e Souza et al (2007) avaliaram 10 genótipos de batata em 34 ambientes (locais, anos e safras) e todos verificaram grandes diferenças quanto à adaptabilidade e estabilidade dos genótipos avaliados, evidenciando a importância da exploração da interação genótipo x ambiente em batata.…”

Section: Genótipounclassified

Desempenho genotípico de clones de batata via modelos mistos

Silva

Carvalho

Souza

et al. 2016

Agraria

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O objetivo do trabalho foi verificar o desempenho genotípico de doze genótipos de batata quanto a caracteres de rendimento de tubérculos, utilizando os modelos mistos. Os experimentos foram conduzidos no município de Canoinhas, SC. Foram avaliados dois clones elite e duas cultivares comerciais nacionais desenvolvidas pela Embrapa, seis clones elite desenvolvidos pela Epagri, e duas cultivares importadas amplamente cultivadas no país, nos cultivos de primavera de 2012 e 2013. O delineamento experimental foi em blocos casualizados com quatro repetições de duas linhas com 10 plantas cada. Todas as parcelas foram colhidas 110 dias após o plantio, e avaliadas para caracteres componentes do rendimento de tubérculos. Os dados foram submetidos às análises de deviance individuais e conjunta, e adaptabilidade e estabilidade. Pode-se verificar que os clones F48-07-06 (Embrapa), 308 (Epagri) e principalmente o 316 (Epagri), apesar de baixo número total de tubérculos, foram superiores aos demais genótipos para o conjunto de caracteres avaliados, aliando elevada produtividade, estabilidade de produção e adaptabilidade.

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Section: Genótipounclassified

Desempenho genotípico de clones de batata via modelos mistos

Silva

Carvalho

Souza

et al. 2016

Agraria

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“…Distinctions regarding the methods are presented for the Sarandi -RS environment, where bi-segmented regression analysis and factor analysis characterize it as favorable, although the AMMI method has negative IPCA1 scores and indicates an unfavorable environment. Studies carried out in 34 environments and ten potato genotypes show that the estimates obtained by bisegmented regression are more efficient than those of the AMMI method (Souza et al, 2007). With regard to the performance of the genotypes against the methods used, similar responses were obtained for TMG 7161 RR and NA 5909 RR, recommended for favorable environments.…”

Section: Performance Of Traits On the Ammi Methodsmentioning

confidence: 70%

Bi-segmented regression, factor analysis and AMMI applied to the analysis of adaptability and stability of soybean

Carvalho¹,

Nardino²,

Demari³

et al. 2016

Aust J Crop Sci

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The aim of this study was to determine the phenotypic adaptability and stability of the soybeans grown in different environments of Rio Grande do Sul through bissegmented regression analysis, factor analysis and AMMI. The experiment was held in 2013/2014 season in a randomized block design factorial (six environments cultivation × 20 genotypes of soybean), arranged in three replications. The results showed that methods of adaptability and stability have similar responses to the rank of environments. The Tenente Portela-RS, Arroio Grande-RS lowland and coxilha were favorable environments, while Santa Rosa-RS and Campos Borges-RS have been recognized unfavorable for soybean genotypes. Differential responses were obtained for the Sarandi-RS environment, where the factor analysis and regression bissegmented revealed that this is a favorable environment, while the method AMMI indicated negative scores and unfavorable. Genotypes TMG 7161 RR and NA5909 RR were indicated as high productivity and recommended for favorable environments for both methods. To reconcile bissegmented regression, factor analysis and AMMI accurately predicted the best genotypes and environments for soybean.

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“…This suggestion was in contrary with research result of Temesgen et al (2015). Choosing D 2 i of Hanson (1970) as parameter of stability based on the saepe modi (Table 1, SMsp = 33) was entirely different with other selecting methods based which wa based on the prediction of the nature of G x E interaction and the need of a simple statistical method (Freeman, 1973;Becker, 1981;Lin et al, 1986;St.Clair and Kleinschmit, 1986;Becker and Leon, 1988;Bacusmo et al, 1988;Magari and Kang, 1993;Piepho, 1994;Ferreira et al, 2006;Souza et al, 2007;Mitrovic et al, 2011;Nascimento et al, 2013;Syukur etal., 2014;Balakrishnan et al, 2016). Total 24 28 28 28 28 26 17 23 15 30 33 15 28 31 12 20 n = 28, BRI = branch rust incidence, LRI = leaf rust incidence, LRS = leaf rust severity, ns = not significant, * = significant at α 0.05 = 0.374, and ** = highly significant at α 0.01 = 0.478, SMsp = number of frequency of parameter correlating significantly with others.…”

Section: Resultsmentioning

confidence: 99%

Saepo Modi and Correlation among Statistical Methods for Measuring of Phenotypic Stability

Malau

Siagian

Sihotang

et al. 2019

Petrop

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A stabile phenotype is desired. Many statistical methods are available to measure stability. So far, the choice of parameter of stability depended on the perception on the interaction of genotype and environment or ease of counting. The goal of this research was to study correlation among stability parameters. In total of 16 stability parameters were used in this research. Saepo modi (SMsp) as a stability parameter was also used. Branch rust incidence, leaf rust incidence, and leaf rust severity on Arabica coffee were used as variables. This research result showed that none of the parameters of stability correlated significantly with all parameter of stability. It coud be concluded that if someone want to use only one stability parameter, it is preffered to make use of regression and deviation from regression (D 2 i). In the case a researcher needs to use several of parameters of stability, Saepo modi (SMsp) might be exercised. ABSTRAKSuatu fenotipe yang stabil yang diharapkan. Banyak metode statistik tersedia untuk mengukur stabilitas. Sejauh ini, pemilihan parameter stabilitas tergantung kepada persepsi tentang interaksi genotipe dengan lingkungan atau kemudahan perhitungan. Tujuan dari penelitian ini adalah untuk mengkaji korelasi antarparameter stabilitas. Sebanyak 16 parameter stabilitas digunakan pada penelitian ini. Saepo modi (SMsp) sebagai suatu parameter stabilitas juga digunakan. Insiden karat cabang, insiden karat daun dan keparahan karat daun pada kopi Arabica digunakan sebagai variabel. Hasil penelitian ini menunjukkan bahwa tidak satupun dari parameter stabilitas berkorelasi signifikan dengan semua parameter stabilitas. Kesimpulan penelitian ini adalah jika seseorang ingin menggunakan hanya satu parameter stabilitas, ia 239 disarankan menggunakan regresi dan deviasi dari regresi (D 2 i). Dalam hal seorang peneliti ingin menggunakan beberapa parameter stabilitas, Saepo modi (SMsp) dapat digunakan.

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Consistency of two stability analysis methods in potatoes

Abstract: The objective of this research was to compare the consistency of the bi-segmented and AMMI (additive main effects and multiplicative interaction analysis) methods for

Cited by 7 publications

References 9 publications

Desempenho genotípico de clones de batata via modelos mistos

Desempenho genotípico de clones de batata via modelos mistos

Bi-segmented regression, factor analysis and AMMI applied to the analysis of adaptability and stability of soybean

Saepo Modi and Correlation among Statistical Methods for Measuring of Phenotypic Stability

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