Selection possibilities for seed content - a determinant of fresh fruit quality in guava (Psidium guajava L.).

Rajan, Shailendra; Yadava, L.P.; Kumar, Ram; Saxena, Sangeeta

doi:10.37855/jah.2005.v07i01.14

Cited by 8 publications

(4 citation statements)

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“…Rodrıǵuez et al (2007) reported a highly significant correlation of TSS with TA in three mapping populations of guava. Linear relationships with significant correlations are common among fruit-quality traits (Thimmappaiah et al, 1985;Rajan et al, 2005;Rajan et al, 2008;Singh, 2015) and our results reflect this. The lower variance for BLUPs than the different studied environments meant that BLUPs were able to reduce the environmental variance across the years to a great extent (Figure 2).…”

Section: Correlation Analysissupporting

confidence: 87%

Construction of a genetic linkage map and QTL mapping of fruit quality traits in guava (Psidium guajava L.)

et al. 2023

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Guava (Psidium guajava L.) is an important fruit crop of the Indian sub-continent, with potential for improvements in quality and yield. The goal of the present study was to construct a genetic linkage map in an intraspecific cross between the elite cultivar ‘Allahabad Safeda’ and the Purple Guava landrace to identify the genomic regions responsible for important fruit quality traits, viz., total soluble solids, titratable acidity, vitamin C, and sugars. This population was phenotyped in field trials (as a winter crop) for three consecutive years, and showed moderate-to-high values of heterogeneity coefficients along with higher heritability (60.0%–97.0%) and genetic-advance-over-mean values (13.23%–31.17%), suggesting minimal environmental influence on the expression of fruit-quality traits and indicating that these traits can be improved by phenotypic selection methods. Significant correlations and strong associations were also detected among fruit physico-chemical traits in segregating progeny. The constructed linkage map consisted of 195 markers distributed across 11 chromosomes, spanning a length of 1,604.47 cM (average inter-loci distance of 8.80 markers) and with 88.00% coverage of the guava genome. Fifty-eight quantitative trait loci (QTLs) were detected in three environments with best linear unbiased prediction (BLUP) values using the composite interval mapping algorithm of the BIP (biparental populations) module. The QTLs were distributed on seven different chromosomes, explaining 10.95%–17.77% of phenotypic variance, with the highest LOD score being 5.96 for qTSS.AS.pau-6.2. Thirteen QTLs detected across multiple environments with BLUPs indicate stability and utility in a future breeding program for guava. Furthermore, seven QTL clusters with stable or common individual QTLs affecting two or more different traits were located on six linkage groups (LGs), explaining the correlation among fruit-quality traits. Thus, the multiple environmental evaluations conducted here have increased our understanding of the molecular basis of phenotypic variation, providing the basis for future high-resolution fine-mapping and paving the way for marker-assisted breeding of fruit-quality traits.

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Section: Correlation Analysissupporting

confidence: 87%

Construction of a genetic linkage map and QTL mapping of fruit quality traits in guava (Psidium guajava L.)

et al. 2023

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“…Previous studies (Rajan et al, 2009;Majumder et al, 2012;Singh, 2016;Sridhar et al, 2022) have also reported the maximum contribution of the number to genetic divergence in mango genotypes. Therefore, the number of fruits would be the critical parameter for selecting divergent genotypes.…”

Section: Principal Component Analysis and Genetic Distancementioning

confidence: 79%

Variability of genetic - morphological traits of eleven seed strains of Mangifera indica L. growing in Upper Egypt

Zaki

Mansour²,

Osman³

et al. 2023

aas

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Mango (Mangifera indica L.) is one of the tastiest fruits in the world, with numerous advantages beyond their economic value. Eleven genotypes of mango various cultivars were examined for variability, heritability, and genetic advance, as well as multivariate analysis based on cluster and principal component analysis (PCA) for yield and some of its contributing traits during the two growing seasons, 2021 and 2022. All studied traits showed significant differences, and the phenotypic coefficients of variation (PCV) were found to be higher than genotypic coefficients of variation (GCV), supporting the idea that morphological (genetic) traits are more prevalent than environmental influence. All traits had substantial heritability ranging from 75.63 to 99.93 %, and the highest significant genetic advance (119.09 %) was for the number of fruits per tree than other traits. Four clusters were formed, i.e., clusters I and IV had four genotypes, cluster II had two, and cluster III had one genotype. The highest cluster mean values for fruit diameter, fruit mass, yield per tree, and the number of fruits per tree were found in Cluster II, followed by cluster I. Greater genetic divergence was found between ‘Zebda’ or ‘S9’ or ‘S10’ with most other genotypes, indicating that these genotypes may be used to study the characters’ broad range of variability and to yield high-quality recombinant lines. In light of the fact that mango is a very heterozygous crop, our current genetic results can be used for the selection of the appropriate parents in hybridization programs and in vegetative propagation to yield selective traits.

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“…Its origins can be traced back to tropical America, specifically within a geographical range spanning from Mexico to Peru [2]. There is a wide variety of cultivars found in India, yet only a select few such as Allahabad Safeda, Apple colour, Sardar guava, and others dominate the majority of the cultivated land [3]. The majority of guava cultivars are diploid and contain seeds, which can negatively impact the quality of the fruit.…”

Section: Introductionmentioning

confidence: 99%

Effect of Nano Zinc and Nano Iron on the Vegetative Growth of Guava (Psidium guajava L.) cv. Allahabad Safeda

Patidar,

Kumar,

Patidar

2024

J. Exp. Agric. Int.

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In June 2023, the Department of Horticulture at Lovely Professional University in Jalandhar, Punjab conducted a field experiment. The experiment utilized a factorial Randomized Block Design with 9 treatments and 3 replications, covering a total of 27 plants. The experiment ran from June 2023 to December 2023. Regarding the individual effect of nano zinc, it was found that the application of nano zinc at a concentration of 200 ppm resulted in significant increases in various vegetative parameters. The maximum plant height increased by 18.06%, canopy spread increased by 30.16% East to West and 30.31% North to South, canopy volume increased by 121.34%, leaf length increased by 119.25%, leaf width increased by 110.94%, and leaf area increased by 363.27%. However, the increase in stem diameter was not significant compared to other treatments. Similarly, the individual effect of nano iron was also studied. The application of Nano Iron at a concentration of 150 ppm resulted in significant increases in various vegetative parameters. The maximum plant height increased by 17.26%, canopy spread increased by 27.63% East to West and 27.78% North to South, canopy volume increased by 109.42%, leaf length increased by 113.28%, leaf width increased by 107.08%, and leaf area increased by 343.06%. However, the increase in stem diameter was not significant compared to other treatments. The experiment revealed that among various treatment combinations, the application of Nano Zinc @ 200ppm + Nano Iron @ 150ppm (nZn2+nFe2) was observed significantly superior and maximum maximum plant height increased by 19.98%, canopy spread increased by 34.69% East to West and 34.88% North to South, canopy volume increased by 144.72%, leaf length increased by 130.89%, leaf width increased by 120.56% and leaf area increased by 409.25% over other treatments about vegetative parameters except stem diameter compared to other treatments.

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Selection possibilities for seed content - a determinant of fresh fruit quality in guava (Psidium guajava L.).

Cited by 8 publications

References 1 publication

Construction of a genetic linkage map and QTL mapping of fruit quality traits in guava (Psidium guajava L.)

Construction of a genetic linkage map and QTL mapping of fruit quality traits in guava (Psidium guajava L.)

Variability of genetic - morphological traits of eleven seed strains of Mangifera indica L. growing in Upper Egypt

Effect of Nano Zinc and Nano Iron on the Vegetative Growth of Guava (Psidium guajava L.) cv. Allahabad Safeda

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