Everbearing strawberry cultivars provide fruit during the summer–fall period when June-bearing strawberries are unavailable, but their breeding progress has been constrained by complex trait interactions. To characterize segregation patterns and evaluate phenotypic diversity, we developed an F₁ population from a cross between two everbearing cultivars, ‘Charlotte’ and ‘Flamenco’. Twenty selected progenies were evaluated for 30 quantitative traits encompassing vegetative vigor, inflorescence structure, fruit morphology, firmness, and biochemical composition. Substantial variation was observed among lines, with several individuals exceeding parental performance for key traits such as fruit size, soluble solids content, and sucrose accumulation. Principal component analysis revealed three major axes of variation: fruit composition (sugars and acids), vegetative vigor, and fruit size and morphology. K-means clustering grouped the progeny into three phenotypic classes, representing high-sugar, large-fruited, or vigorous growth types. Notably, some lines combined favorable attributes across classes, such as high sweetness and large fruit, indicating the potential to overcome typical trade-offs between yield and quality. These findings provide a practical framework for breeding selection and highlight superior progeny as immediate candidates for clonal advancement or as parents in future crossing. The results also establish a foundation for integrating phenotypic classifications with molecular tools to accelerate the development of high-value everbearing strawberries.
The development of rice seedlings stressed by drought and salt is shown by different morphometric and colorimetric traits. These distinctions can be used to understand the response of plants to challenging conditions. Therefore, this study aimed to assess the efficacy of image-based phenotyping in the early testing of rice plants and observe how the plants respond to both drought and salinity. A stress tolerance index with multivariate analysis was used for the selection of the most important traits. The experiment consisted of 2 factors, namely the degree of environmental stress and rice genotype. Furthermore, the degree of environmental stress comprised normal (NaCl and PEG 0%), drought (10% PEG), salinity (60 mM NaCl), as well as a combination of moderate drought and salinity (5% PEG + 30 mM NaCl). The results showed that both morphometric (area, convex hull, bounding area, perimeter, centermassy) and colorimetric (CIVE, VARI, RGBVI, MGRVI, NDI, GLI, NGRDI) can be used as selection characters.
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Mungbeans (
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Genetic analysis of genes that regulate the color pigmentation of sterile lemma and apiculus has been conducted. “Josaengjado” has small and round grains with purple leaf, sterile lemma and apiculus. In the F2 population from a cross between Josaengjado and Daeribbyeo 1, 246 and 182 plants exhibited purple and straw-white sterile lemma, respectively. It fitted a 9:7 segregation ratio indicating that two complementary genes control the pigmentation in sterile lemma and apiculus. Genetic analysis was performed using the F2:3 and KASP (Kompetitive Allele-Specific PCR) markers. Genes for the coloration of leaf sheath, ligule, sterile lemma, and apiculus were detected on chromosomes 1 and 6. Sequence comparison showed a single nucleotide substitution C (Josaengjado) to A (Daeribbyeo 1) in the second exon of the
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One of approaches to maintain the yield stability of the lowland tropical wheat is the use of secondary traits in the selection process. The identification of these characters requires a statistical approach in the form of genetic parameter analysis and multivariate analysis. The
objective
of this study was to determine the secondary traits of adaptive wheat mutants in the lowlands through the use of genetic parameters and multivariate analysis on the parameters. The study consisted of three field trials conducted in three different regencies, namely Jeneponto (135 m above sea level (asl)), Maros (100 m asl) and Bantaeng (125 m asl). The study used a nested design, where replications were nested in the environments. The genotype factors consisted of 20 genotypes repeated three times. 11 characters were observed including vegetative and reproductive characters. The analysis used consisted of repeatability, correlation, cluster analysis, principal component analysis, factor analysis, and cross print analysis. The overall results of the analysis indicate that the number of productive tillers is the main secondary trait for the selection of adaptive wheat in the lowlands. The character can be recommended for selection criteria in testing wheat lines in the lowlands to make an effective selection.
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Chinese jujube (
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Eight advanced breeding lines of cowpea [
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Poor seed yield remains a great challenge for cowpea production in sub-Sahara Africa and continuous evaluation of available genetic resource to develop high and stable yielding varieties is the panacea to this regional food security conundrum. In this study, 21 cowpea breeding lines were evaluated for phenotypic analysis of seed yield components for two years in a randomized complete block design of 3 replications. All the yield components exhibited significant genotypic variation, while flowering, pod maturity and seed yield traits recorded significant variation for years and its interactions. These cowpeas, which are predominantly early-medium maturing biotypes, exhibited relative phenotypic stability for the yield components across years (seasons) except seed yield, being a final product of complex physiological process. Relationships between flowering/pod maturity and seed size were positive and significant. By contrast, pods/plant, seeds/plant and total seed yield recorded negative correlations with pod maturity. However, seeds/plant and pods/plant are the most contributory components to seed-yield with correlation coefficients of
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Thirty-six okra germplasms were grown and evaluated for yield and yield related traits at the Department of Plant Breeding and Genetics, Vellayani, Trivandrum, Kerala. The germplasms studied possessed sufficient variability for all the traits. High genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were noticed for almost all characters and narrow difference between GCV and PCV suggest that environmental influence is minimal for the traits studied. High estimates of heritability coupled with high to moderate genetic advance as percent over mean was recorded for all the characters considered. Yield had positive and significant association with number of fruits per plant, fruit weight, fruit girth and number of primary branches indicating that selection based on these characters may improve yield. Principal component analysis indicated that first three principal components contributed for sixty percent total variation among ten characters describing accessions. The cluster analysis revealed that hybridization of cluster I with cluster IV would be beneficial to develop promising varieties under diverse climatic conditions in India.
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Simple sequence repeats (SSRs) have been the marker of choice for rice molecular breeding due to the high level of polymorphism, technical simplicity and low cost. Recent advances in rice genomics have led to the discovery of abundant single nucleotide polymorphism (SNPs) which have enormous potential for rice molecular breeding. To assess both marker systems for molecular breeding in rice, SSR and SNP markers were evaluated on a set of 23 genotypes representing
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Perennial poor fruit-set and variability in tree yield are among major problems of cashew nut production. Thus, development of improved stable genotypes would be a sustainable strategy to address this perpetual problem in order to boost income and livelihood of many smallholder farmers of this important commodity crop. Here, we have applied additive main effect and multiplicative interaction (AMMI) and genotype, genotype by environment (GGE) biplot analysis to a 3-year multi-locational trial data on nine yield component characters of cashew to evaluate phenotypic stability across diverse environments. Variance analysis showed significant variability in the cashew genotypes and strong influence of genotype by environment (GxE) on tree yield as none of the genotypes was stable for any of the yield components across locations. GxE data showed that a substantial portion of the variation was explained by the genotype (highly heritable), accounting for between 10% and 87% of the variation, while the environment accounted for between 0.7% and 37%. Data showed significant higher values of interaction (GxE) than the respective values for environment, and were mostly captured and could be explained by the first principal component axis (IPCA 1) for all the yield component characters. There was an inverse relationship between stability and yield as the best three yielding genotypes (KT_26, IW_222 and IW_31) were found to be the most unstable. Among the yield component tested, hermaphrodite flowers per panicle, nuts per panicle, nuts per tree, nut weight, and tree fruiting efficiency were identified to be critical components for nut yield. Although there was wide variation between the three environments evaluated, the data effectively identified two mega-environments (ME), and two superior genotypes (IW_222 and KT_26) suitable for these two mega-environments. The GxE complex exposes the short-comings of broad recommendations of common agronomic-husbandry technologies across diverse cashew ecologies as each mega-environment would require specific adaptable technologies for optimal plant output. Above all, the data presented here underscore the importance of multi-locational evaluation of genotypes for varietal development in cashew.
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