Genotype X envionment interactions of groundnut (Arachis hypogaea L.) for pod yield

Abstract Background Thirty-nine F7 new lines selected were evaluated alongside ten checks for pod yield, earliness, tolerance to diseases and other agronomic traits in the major and the minor seasons in 2014. The study locations were Fumesua in the forest ecological zone and Ejura in the forest-savanna transition ecological zone. The trials were laid out in lattice square (7 × 7) design with three replications. Results Genotype by environment interaction (G x E) was significant (p  Conclusion The observed variations due to location effects for all the traits studied revealed that the genetic expressions of these parameters were influenced by the prevailing environmental condition. Ten improved lines were selected for on-farm evaluation based on pod yield performance (1.3–1.5 ton/ha), tolerance to diseases and early maturity (89–92) days.

• Publication year

  2018

• Venue

  Ecological Genetics and Genomics

• Publication date

  2018-07-01

• Fields of study

  Agricultural and Food Sciences, Biology

• Identifiers
  DOI 10.1016/J.EGG.2018.03.001
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Grain yield improvement of groundnut (Arachis hypogaea L.) under drought stress conditions

  2013cited by this paper
• Genetic variability and path analysis of Groundnut (Arachis hypogaea L.)

  2012cited by this paper
• Use of GGE biplot for targeting early maturing maize cultivars to mega-environments in West Africa

  2011cited by this paper
• Genetic variation and trait relationships in summer groundnut, Arachis hypogaea L.

  2010cited by this paper
• Pattern analysis of genotype-by-environment interaction for grain yield in durum wheat

  2009cited by this paper
• Assessment of yield losses due to early and late leaf spots of groundnut ( Arachis hypogaea L.)

  2008cited by this paper
• Evaluation of nutritional quality of groundnut (Arachis hypogaea L.) from Ghana

  2008cited by this paper
• GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data

  2007cited by this paper
• Principles of plant genetics and breeding

  2006cited by this paper
• Genotype by environment interactions in the regional early maize variety trials in West and Central Africa

  2003cited by this paper
• Physiological responses of groundnut (Arachis hypogea L.) to drought stress and its amelioration: a critical review

  2003cited by this paper
• GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists

  2002cited by this paper
• Interpretation of genotype × environment interaction for winter wheat yield in Ontario

  2001cited by this paper
• GGEbiplot—A Windows Application for Graphical Analysis of Multienvironment Trial Data and Other Types of Two-Way Data

  2001cited by this paper
• Crop production in tropical Africa

  2001cited by this paper
• Cultivar Evaluation and Mega‐Environment Investigation Based on the GGE Biplot

  2000cited by this paper
• Inter-Relationships Between Groundnut Yield in Senegal, Interannual Rainfall Variability and Sea-Surface Temperatures

  1999cited by this paper
• The composition and nutritive value of groundnut kernels

  1994cited by this paper
• Groundnut breeding: constraints, achievements and future possibilities

  1991cited by this paper
• Correlation, path and discriminant function analyses in groundnut grown on a P-deficient acidic soil.

  1990cited by this paper
• Genetic variability, character association and path coefficients of quantitative traits in Virginia bunch varieties of groundnut.

  1986cited by this paper
• Estimates of Heritability and the Degree of Dominance in Corn1

  1949cited by this paper

• Within-plant variability in pod maturity and preharvest sprouting in peanut (Arachis hypogaea L.): Physiological drivers, agronomic impacts, and integrated mitigation strategies

  2026cites this paper
• Enhancing the prediction accuracy of groundnut yield by integrating significant markers and modeling genotype × environment interaction

  2025influential citation
• Genomic prediction by modelling genotype by environment interaction for yield in groundnut

  2024cites this paper
• POD yield, foliar diseases resistance and stability of several groundnut genotypes in several agro-ecological zones

  2024cites this paper
• High-accuracy classification and origin traceability of peanut kernels based on near-infrared (NIR) spectroscopy using Adaboost - Maximum uncertainty linear discriminant analysis

  2024influential citation
• Characterization of Groundnut (Arachis hypogaea L.) Test Locations Using Representative Testing Environments With Farmer-Preferred Traits

  2021cites this paper
• Sub-regional identification of peanuts from Shandong Province of China based on Fourier transform infrared (FT-IR) spectroscopy

  2021cites this paper