Results 251 to 260 of about 43,318 (306)

Sucrose synthase cleavage dominance underpins high-sugar phenotype in pitaya (<i>Hylocereus</i> spp.): a multi-genotype study integrating morphology, spatial sugar profiling, and enzyme activities. [PDF]

Front Plant Sci
Huang R, Wu D, Peng F, Xu G, Yang Z, He X.   +5 more
europepmc   +1 more source

Morphological characterization, divergence and disease reaction studies for improvement of mid-late and late maturity genotypes of cauliflower under North-Western Himalayas. [PDF]

Sci Rep
Prashar A, Mehta DK, Kumar R, Neha, Srishti.   +4 more
europepmc   +1 more source

Screening Maize Germplasm for Resistance to Fall Armyworm (<i>Spodoptera frugiperda</i>) and Its Association with Genomic SNP Variation. [PDF]

Genes (Basel)
Lhamine CF, Ndeve AD, Cugala DR, Fato P, Chauque PS, Chiulele RM, Nanyangwe S, Kipkoech MC, Oladiran KP.   +8 more
europepmc   +1 more source

Climatic Variables and Virulence May Contribute to the Population Dynamics of Pyricularia oryzae at Local Scale. [PDF]

Microbiologyopen
Bosco S, Sillo F, Ruffa P, Bergonzi L, Tenni D, Abbruscato P, Torello Marinoni D, Romani M, Spadaro D.   +8 more
europepmc   +1 more source

Modern elite winter wheat cultivars use two physiological pathways to achieve yield stability. [PDF]

J Exp Bot
Wang TC, Liu LY, Weiß K, Chen TW.
europepmc   +1 more source

Predictive modeling of sugar beet bolting via vernalization-intensity model and resilience assessment in diverse autumn cultivation environments. [PDF]

PLoS One
Sadeghzadeh Hemayati S, Saremirad A, Nooshkam A, Yar-Ahmadi S, Abdipur M.   +4 more
europepmc   +1 more source

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Clustering Genotypes Based on Genotype‐Environment Interaction When Error Variances Are Heterogeneous

Biometrical Journal, 1998
Summary: A distance function between any two genotypes based on their interaction with environments, when error variances are heterogeneous, is derived. Also a dissimilarity index for a group of genotypes which measures their interaction with environments, as an average of the pairwise distance functions is proposed.
Chandrika, C., Unnithan, V. K. G.
openaire   +2 more sources

Genotype by Environment Variance Heterogeneity in a Two-Stage Analysis

Biometrics, 1997
Summary: The analysis of a series of crop variety trials often proceeds using a mixed model in which the data are the combined means from individual trials. The residual variation for this model consists of genotype by environment \((\text{G}\cdot\text{E})\) interactions and within-trial error variation.
Frensham, A., Cullis, B., Verbyla, A.
openaire   +2 more sources

Efficiency Control in Large-Scale Genotyping Using Analysis of Variance

Applied Biochemistry and Biotechnology, 2005
The efficiency of the genotyping process is determined by many simultaneous factors. In actual genotyping, a production run is often preceded by small-scale experiments to find optimal conditions. We propose to use statistical analysis of production run data as well, to gain insight into factors important for the outcome of genotyping.
Spijker, GT, Bruinenberg, M, Meerman, GJT   +2 more
openaire   +3 more sources