Literature DB >> 24311281

Limitations of conventional regression analysis a proposed modification.

M M Verma1, G S Chahal, B R Murty.   

Abstract

The conventional genotype-environment interaction analysis cannot detect the theoretically ideal genotype which has been defined as the one with relatively low sensitivity in the poor environments and high sensitivity in the favourable environments.The computation of separate regression coefficients on the two regions of the response curve has been suggested to detect such genotypes. This procedure is simple and more convenient than the complicated curvilinear regression analysis.

Year:  1978        PMID： 24311281     DOI： 10.1007/BF00274335

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN： 0040-5752            Impact factor:   5.699


  1 in total

1.  Environmental and genotype-environmental components of variability. 3. Multiple lines and crosses.

Authors:  J M Perkins; J L Jinks
Journal:  Heredity (Edinb)       Date:  1968-08       Impact factor: 3.821
  1 in total
  9 in total

1.  Environmental response patterns in commercial classes of common bean (Phaseolus vulgaris L.).

Authors:  A Ghaderi; M W Adams; A W Saettler
Journal:  Theor Appl Genet       Date:  1982-03       Impact factor: 5.699

2.  Selection of isoresponsive genotypes in toria (Brassica campestris L.) based on the pattern of response to environmental variations: a proposed method.

Authors:  D Singh
Journal:  Theor Appl Genet       Date:  1985-07       Impact factor: 5.699

3.  Selection of diverse genotypes for heterosis in yield and response in toria (Brassica campestris L.).

Authors:  D Singh; P K Gupta
Journal:  Theor Appl Genet       Date:  1985-03       Impact factor: 5.699

4.  A parsimonious statistical design and breeding procedure for evaluating and selecting desirable characteristics over environments.

Authors:  W T Federer; B T Scully
Journal:  Theor Appl Genet       Date:  1993-06       Impact factor: 5.699

5.  Repeatability of stability estimators for downy mildew incidence in pearl millet.

Authors:  D S Virk; S S Chahal; H S Pooni
Journal:  Theor Appl Genet       Date:  1985-04       Impact factor: 5.699

6.  Adaptability and stability of Coffea canephora to dynamic environments using the Bayesian approach.

Authors:  Fabio Luiz Partelli; Flavia Alves da Silva; André Monzoli Covre; Gleison Oliosi; Caio Cezar Guedes Correa; Alexandre Pio Viana
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

7.  Assessing three methods for identification of desirable genotypes in white cabbage (Brassica oleracea L. var. capitata).

Authors:  J Davik
Journal:  Theor Appl Genet       Date:  1989-06       Impact factor: 5.699

8.  Adaptability and stability analyses of plants using random regression models.

Authors:  Michel Henriques de Souza; José Domingos Pereira Júnior; Skarlet De Marco Steckling; Jussara Mencalha; Fabíola Dos Santos Dias; João Romero do Amaral Santos de Carvalho Rocha; Pedro Crescêncio Souza Carneiro; José Eustáquio de Souza Carneiro
Journal:  PLoS One       Date:  2020-12-02       Impact factor: 3.240

9.  Adaptability and stability evaluation of maize hybrids using Bayesian segmented regression models.

Authors:  Tâmara Rebecca A Oliveira; Hélio Wilson L Carvalho; Moysés Nascimento; Emiliano Fernandes N Costa; Gustavo Hugo F Oliveira; Geraldo A Gravina; Antonio T Amaral Junior; José Luiz S Carvalho Filho
Journal:  PLoS One       Date:  2020-07-30       Impact factor: 3.240
  9 in total

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