Diallel cross analysis for maturity and yield-related traits in melon ( Cucumis melo L (original) (raw)
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The success of most crop improvement program largely depends on the understanding of relationship among characters and magnitude of this relation help to breeder to determine the selection criteria for breeding program .In order to evaluation of some agronomical characteristics and that relation in 49 melon genotypes of gene bank was studied in randomized complete block design with 3 replications in years 2005-2006 and 2006-2007 in Agriculture and Natural Resources Research Center of sistan-Iran.Combine analysis of variance showed between treatments in aspect of all characters except of number of fruit and plant length there are significant difference .Descriptive statistic results showed the most of coefficient variation belong to yield and yield range of genotypes was between 6101 to 25173 kg/ha-1 .Simple correlation coefficient among characters indicated to significant and positive relation between yield and fruit weight, flesh diameter .Factor analysis showed 4 factors define about 70 percent from variation among characters and finally cluster analysis grouped genotypes to 3 clusters.
This study examined 36 accessions of melon grown originally in dry and warm zones managed in the gene bank in the Institute of Seed and Plant Improvement, Karaj. To characterize and compare results of the field experiment statistical procedures, hierarchical cluster analysis, principal component analysis (PCA), and multiple linear regressions were applied. The results indicated a high degree of variability for single plant yield, fruit weight, fruit length, and cavity diameter. In addition, the variables of fruit size displayed a high differentiating power. Positive and negative correlation coefficients were identified among the studied traits as well. The highest significant positive correlation was found between the plant yield and fruit weight (0.88). Also, the highest significant negative correlation was observed between relative water content and canopy temperature (−0.58). Melon accessions were classified into three main clusters, indicating that the characterized melon collection has a high potential for particular breeding goals. The usefulness of the identified correlations among traits is valuable for the potential use in breeding projects directed for fruit size and yielding in dry condition. Multiple linear regressions were done and R 2 (Coefficient of determination) and RMSE (Root Mean Squared Error) were 0.97 and 229, respectively.
The highly polymorphic in sweet melon for many commercial traits providing seemingly endless possibilities for genetic improvement. The main objective of current study was to estimate of genetic behavior and obtain the genetic parameters of sweet melon advanced lines (Cucumis melo L. var. aegyptiacus). Eight inbred lines were developed from previous study using a pedigree selection method. The selected inbred lines were crossed according to factorial mating design generated 16 crosses. The additive genetic variance played an important role in the inheritance of yield and most yield component traits. Female variance (σ 2 f) appeared to be larger than male variance (σ 2 m) for the most quality traits except for taste. The magnitudes of additive genetic variance (σ 2 A) were lower than their non-additive including dominance (σ 2 D) for all studied yield traits, except for number of male flowers per plant and fruit length. The MAGD105, MAGD106 and MAGD107 are promising lines that could be used in farther improvement programs.
Indian journal of agricultural research, 2020
Diversity of 9 local Iranian genotypes of melon was studied based on 28 quantitative and qualitative agro-morphological traits, using multivariate statistical methods. Analysis of variance showed significant differences between genotypes for all quantitative traits. However, the studied melon genotypes were previously clustered in two main groups of inodorous and cantalopensis, cluster analysis classified them in four different groups based on all traits, in particular outlaying Shadegani genotype from Inodorous group. Clustering was also supported by principal components analysis (PCA). The first two PCs contributed 60% of the total variability and demonstrated variations mainly on the basis of yield related traits including fruit number, day to flower, day to harvest, fruit weight, fruit length and other distinctive traits such as rind pattern, peduncle attachment strength, fruit firmness and aroma. Accordingly, agro-morphological traits could be used for variation studies in melons and results might be useful for improving breeding programs.
The Pharma Innovation Journal, 2021
Sixteen intervarietal hybrids of Mangalore melon (Cucumis melo var. acidulous) were developed and evaluated at college of horticulture, Sirsi (Karnataka) to study the genetic variability and correlation present among the hybrids. Results revealed that significant genetic variability present among hybrids for almost all traits. A high range of variation, high PCV, GCV and high heritability observed for all the traits studied. However, high heritability coupled with high genetic advance was recorded for average fruit weight, vine length, days to first harvest, fruit diameter and fruit length it indicates less environmental influence, broader genetic base and also it depicts presence of additive gene action. Rest of the traits showed high heritability with low to moderate genetic advance indicates presence of dominant gene action. Further correlation study reveals that at genotypic level, fruit yield per plant had a highly significant and positive correlation with vine length, number of primary branches, number of fruits per plant, fruit length, fruit width, fruit diameter, average fruit weight, flesh thickness and seed cavity length and at phenotypic level, fruit yield per plant had a highly significant and positive correlation with vine length, number of primary branches, number of fruits per vine, fruit length, fruit diameter, average fruit weight, flesh thickness and seed cavity length.
A B S T R A C T Canonical correlation analysis (CCA), factor analysis and simple correlation analysis were used to estimate relationships between plant characters [X set-days number for flowering, fruit formation, fruit maturity, harvesting, number of seeds per fruit, thousand seeds weight, seed length, seed width, plant length], and yield components [Y set-fruit weight (F.WE), fruit length(F.L), fruit width (F.WI) and number of fruits per plant (N.F.P)] of 41 native melons (Ghandak) collected from the Sistan region in the south eastern of Iran. The results of the canonical analysis showed that a high canonical correlation is observed between yield components and plant characters in first pairs of canonical variables (0.78). The findings obtained from the CCA indicate that fruit width (F.WI) had the largest contribution for the explanatory capacity of canonical variables estimated from yield components of the melon population. Thousand seeds weight and number of days to fruit formation had the largest contribution to explain the canonical variables estimated from X-set when compared to other characters. The correlation coefficient analysis indicated that number of days to fruit ripening had the most significant positive effect on fruit length. Factor analysis results revealed that six factors could explain approximately 77% of total variation; those factors were strongly influenced by number of seed per fruit, thousands seed weight, fruit width, number of days to flowering, fruit length, number of days to fruit ripening and seed width.
Biological Forum – An International Journal, 2022
The success of most crop improvement program largely depends on the understanding of relationship among characters and magnitude of this relation help to breeder to determine the selection criteria for breeding program. An investigation was carried out to assess the character association and path analysis for sixteen quantitative traits in F 2 segregating generation of Haramadhu × MS-78 cross. Association studies revealed that, six out of sixteen traits exhibited highly significant positive correlation with fruit yield per vine. However, the traits average fruit weight (0.721), number of fruits per vine (0.569), fruit length (0.340), fruit width (0.272), fruit shape index (0.231) and TSS (0.142) were found to possess significant association in desirable direction with fruit yield per vine at phenotypic level. Path analysis studies revealed that average fruit weight exhibited the highest positive direct effect (0.756) on fruit yield per vine followed by number of fruits per vine (0.609), fruit shape index (0.292), fruit width (0.135), sex ratio (0.011), TSS (0.019) and seed cavity width (0.009) showed true relationship by establishing significant positive association and direct effect on fruit yield per vine.
Integrated Selection Criteria in Melon Breeding
Muskmelon (Cucumis melo L.) yield could likely be improved through genetic manipulation. Estimating genetic diversity and determining relationships among germplasm enhances efficiency of germplasm collection management and genetic improvement. Experiments were conducted with muskmelon from Mar. to June 2012–2013 and 2013–2014 to determine trait selection, which contributes to high yield. For all traits degree of genetic variation was determined to account for genetic and environment effects. Minimum genetic variance (9.66), along with high genetic interaction with the environment (19.33), led to low heritability (0.24) for yield. Broad sense heritability of traits included in the differentiating model was higher than in production. Number of fruit, fruit weight, fruit width, flesh diameter, and plant yield can differentiate genotypes with high or low production. Discriminant function of these traits, particularly fruit weight, for current outputs was used as an all-inclusive parameter for determining landraces with the highest yield. About three quarters of variation in yield can be explained with discriminant function, and weight is substantially related to total production (r = 0.72**), which can be beneficial in breeding. Variable importance in partial least squares analysis demonstrated that fruit number, fruit width, and fruit weight had the highest significance and can be used for predicting ultimate production. Selection using genetic variability can enhance genetic achievement of improved production.
Diallel Analysis for Yield and Quality Characteristics in Melon
Journal of Experimental Agriculture International
Aims: To estimate the effects of general and specific combinatorial fitness in parents and progeny on yield and fruit quality related traits of melon. Study Design: A completely randomized block design with three replications was used to estimate the analysis of variance and the effects of general combining ability (GCA) and specific combining ability (SCA). The genetic analysis was carried out based on the Griffing Method II dialelic design (1956) with fixed effects model. Tukey P=.05 mean comparison analysis. Place and Duration of Study: The research was conducted in two stages. In stage 1, seed production of the parents and crosses was carried out at the Physiotechnical Greenhouse of the of the Universidad Autónoma Agraria Antonio Narro, Saltillo, Coahuila. Mexico, between April and July 2021. In stage 2, the evaluation of the parents and progeny was carried out between August and November 2021 in the agricultural field "La Jaroza", Paila, Coahuila. México. Methodology:...
GENERATION MEAN ANALYSIS OF HORTICULTURAL TRAITS IN MUSKMELON (CUCUMIS MELO L
A six generation mean analysis study was carried determine the types and magnitude of gene effects for earliness, vine architectural, yield and its components in four muskmelon crosses viz., Punjab Sunehri x IIHR 122, RM 43 x IIHR 121, IIHR 681 x IIHR 121 and IIHR 681 x IIHR 122. A simple additive/dominance model was adequate as determined from the non-significance of all the scales for days to anthesis in the cross RM 43 x IIHR 121, days to first fruit harvest in the cross Punjab Sunehri x IIHR 122 and number of fruits per vine in the cross IIHR 681 x IIHR 122. For vine length, number of fruits per vine and average fruit weight in all crosses significance of one or more scaling test implied the presence of non-allelic interactions. Some gene effects cancelled due to simultaneous presence of positive and negative components for most of the traits indicated that negative alleles dispersed in the parents of the crosses for the inheritance of the traits. Therefore, selection for such traits should be done in later generation such that the desired recombinants become available in the population. Simple biparental recurrent selection would prove useful in obtaining more unique and desirable alleles, since additive, non-additive and interaction effects could able to locate further variability and effective selection of lines is possible. KEYWORDS: Cucumis Melo – Generation Mean Analysis – Additive Effects – Dominance Effects – Epistasis