Genetics and Plant Breeding

Defining Target Population of Environments to Enviromics Studies Using R-based GIS Tools

The paper introduces an R-based GIS function to define Target Population of Environments for enviromics studies in plant breeding, enhancing GxE interaction analysis.

Assessing the efficiency and heritability of blocked tree breeding trials

This paper evaluates heritability at family and tree levels in blocked tree breeding trials, finding heterogeneity in pairwise heritabilities due to genetic and error variance differences.

Study on the phenotypic diversity and comprehensive evaluation analysis of 43 ornamental peonies of Sect. Paeonia.

This study analyzes phenotypic diversity in 43 Sect. Paeonia peony varieties using PCA, cluster analysis, and comprehensive evaluation to identify key traits influencing diversity and breeding potential.

Sparse Testing Designs for Optimizing Predictive Ability in Sugarcane Populations

This study uses sparse testing designs with genomic prediction models to optimize predictive accuracy for sugarcane traits across environments.

Optimizing multi-environment trials in the US Rice belt via smart-climate-soil prediction based-models and economic importance

The paper optimizes multi-environment trials in the US Rice belt by integrating climate-soil models and economic factors to reduce trial locations without sacrificing accuracy.

Assessment and phenotypic identification of millet germplasm (Setaria italica ) in Liaoning, China

This study evaluates millet germplasm in Liaoning, China, identifying resources with desirable traits for breeding and practical applications.

GIS-FA: An approach to integrate thematic maps, factor-analytic and envirotyping for cultivar targeting

The paper introduces GIS-FA, a method integrating GIS, factor-analytic models, and envirotyping to predict cultivar performance in untested environments and support decision-making.

Genetic Gains in IRRIs Rice Salinity Breeding and Elite Panel Development as a Future Breeding Resource

The paper estimates genetic gains in IRRIs rice salinity breeding programs and develops an elite breeding panel to improve future breeding strategies for salinity-tolerant high-yielding rice lines.

Developing tree improvement strategies for challenging environmental stresses under global climate change: a review from traditional tree breeding to genomics of adaptive traits for the quaking aspen

This paper reviews tree improvement strategies for quaking aspen under climate change, focusing on adaptive traits and their genetic and environmental interactions.

Characterisation of tomato (Solanum lycopersiconMill.) genotypes for morphological and disease resistance traits through cluster analysis.

The paper clusters tomato genotypes based on morphological and disease resistance traits using multivariate analysis to identify genetic similarity and variation.

Models to Estimate Genetic Gain of Soybean Seed Yield from Annual Multi-Environment Field Trials

The paper evaluates models to estimate genetic gain in soybean seed yield from multi-environment trials and finds all models are biased, recommending multiple models for accurate estimation.

Bayesian Additive Regression Trees for Genotype by Environment Interaction Models

The paper introduces AMBARTI, a Bayesian additive regression tree model for genotype by environment interactions in plant genetics, showing it is competitive or superior to existing methods.

Extending Finlay-Wilkinson regression with covariates

This paper extends Finlay-Wilkinson regression by replacing the environmental index with synthetic covariates derived from observable environmental factors, enabling predictions for new environments.

Field phenomics reveals genetic variation for transpiration response to vapor pressure deficit in sorghum

The paper tests genetic variation for limited transpiration in sorghum under field conditions and evaluates canopy temperature as a surrogate trait.

Reciprocal recurrent selection based on genetic complementation: An efficient way to build heterosis in diploids due to directional dominance

This paper proposes reciprocal recurrent selection based on genetic complementation to enhance dominance-based heterosis in diploids, showing it is cheaper than GCA-based approaches and effective in hybrid maize.

A data-driven approach for enhancing forest productivity by accounting for indirect genetic effects

The paper develops a method to enhance forest productivity by analyzing indirect genetic effects in clonal composites of Eucalyptus hybrids.

Evaluating drought tolerance stability in soybean by theresponse of irrigation change captured from time-seriesmultispectral data

This study evaluates drought tolerance stability in soybean using time-series multispectral data and genomic prediction models, finding higher accuracy with changing irrigation treatments.

Multi-location trials and population-based genotyping reveal high diversity and adaptation to breeding environments in a large collection of red clover

This study analyzes genetic and phenotypic diversity in red clover accessions across Europe, revealing geographic genetic structure and local adaptation to breeding environments.

Bearded or Smooth? Awns Improve Yield when Wheat Experiences Heat Stress During Grain Fill

The paper estimates the yield effects of awns in wheat under different environmental conditions over 12 years in the Southeast US, finding awns improve yield in heat-stressed environments.

learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial data

learnMET is an R package that uses machine learning to predict genomic traits from multi-environment trial data by integrating genomic and environmental factors.

Enviromic prediction is useful to define the limits of climate adaptation: A case study of common beans in Brazil

This paper develops an enviromic prediction approach using GAM to analyze climate impacts on common bean yield in Brazil, identifying key environmental drivers and optimal conditions for different regions and seasons.

Data-driven machine learning for pattern recognition supports environmental quality prediction for irrigated rice in Brazil

The paper uses machine learning to predict environmental quality for irrigated rice in Brazil by clustering yield data and analyzing genotype-environment interactions.

Strong genotype by environment interactions in the rice Global MAGIC population across seedling stage drought

The paper studies genotype by environment interactions in rice under drought conditions using the Global MAGIC population, finding that most alleles have conditionally neutral effects and that shoot growth during drought is linked to crown root number.

Theobroma grandiflorum breeding optimization based on repeatability, stability and adaptability information

This study estimates the optimal number of harvests for genetic selection of Theobroma grandiflorum progenies and identifies the most promising ones based on productivity, stability, and adaptability.

Little heterosis found in Diploid Hybrid Potato

This study examines genetic components in diploid hybrid potato using a two-step modelling approach, finding that additive effects dominate over non-additive ones for yield traits.

Leveraging probability concepts for genotype by environment recommendation

The paper uses Bayesian probability methods to analyze genotype-by-environment interactions in plant breeding, improving cultivar recommendation by quantifying adaptation and stability probabilities.

Identification of the combining abilit o f grain yield and its components in hybrid barley populations based on topcross analysis

This paper identifies the combining ability of grain yield and its components in hybrid barley populations using topcross analysis, revealing the role of additive and non-additive gene effects under different environmental conditions.

Agronomic behavior of four cultivars and 56 F1 tomato populations

The paper analyzes agronomic behavior of 56 F1 tomato progenies and four cultivars using statistical methods to identify correlations and groupings in fruit yield and quality traits.

Analysis of correlation and trail coefficients for componentperformance s in nine experimental tomato lines

The paper analyzes correlations and path coefficients in tomato lines to identify key traits affecting yield and guide breeding programs.

Identification of promising oilseed rape genotypes for the tropical regions of Iran using multivariate analysis

The paper identifies high-yield and adaptable oilseed rape genotypes for tropical Iran using multivariate analysis of phenotypic data.